Upload 52 files

Aria/results_2025-01-25T10-42-53.190540.json

@@ -21,9 +21,41 @@
       "acc": 32.08
     },
     "MMMU_Pro_vision": {
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+      "accuracy": 21.21,
+      "subject_score": {
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+        "Art": 26.42,
+        "Design": 41.67,
+        "Literature": 55.77,
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+        "Finance": 16.67,
+        "Sociology": 22.22,
+        "Accounting": 25.86,
+        "Energy_and_Power": 13.79,
+        "Pharmacy": 31.58,
+        "Architecture_and_Engineering": 10.0,
+        "Clinical_Medicine": 16.95,
+        "Public_Health": 25.86,
+        "Physics": 16.67,
+        "Art_Theory": 21.82,
+        "Electronics": 13.33,
+        "Psychology": 25.0,
+        "Biology": 20.34,
+        "Manage": 12.0,
+        "Economics": 22.03,
+        "Mechanical_Engineering": 20.34,
+        "Diagnostics_and_Laboratory_Medicine": 10.0,
+        "Basic_Medical_Science": 23.08,
+        "Computer_Science": 23.33,
+        "Math": 23.33,
+        "Music": 20.0,
+        "Materials": 8.33,
+        "Marketing": 15.25,
+        "Chemistry": 15.0,
+        "Geography": 13.46
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       "acc_stderr": 0,
-      "acc": 52.02
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     "MmvetV2": {
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@@ -333,9 +365,9 @@
       "acc": 43.27
     },
     "MathVision": {
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       "acc_stderr": 0,
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     "CII-Bench": {
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Claude-3.5-Sonnet-20241022/results_2025-01-25T10-42-53.190540.json

@@ -129,41 +129,41 @@
       "acc": 42.14
     },
     "MMMU_Pro_vision": {
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+      "accuracy": 47.63,
       "subject_score": {
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+        "History": 53.57,
+        "Art": 60.38,
         "Design": 65.0,
-        "Literature": 63.46,
-        "Agriculture": 61.67,
-        "Finance": 46.67,
-        "Sociology": 66.67,
-        "Accounting": 65.52,
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-        "Architecture_and_Engineering": 38.33,
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-        "Music": 53.33,
-        "Materials": 40.0,
-        "Marketing": 42.37,
-        "Chemistry": 55.0,
-        "Geography": 48.08
+        "Literature": 51.92,
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+        "Finance": 68.33,
+        "Sociology": 50.0,
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Claude-3.7-Sonnet-20250219/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,742 @@
+{
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+        "Art": 58.09,
+        "CTC": 58.21,
+        "Life": 65.37,
+        "Society": 58.92,
+        "Env.": 60.78,
+        "Politics": 66.67
+      },
+      "emotion_score": {
+        "Negative": 60.38,
+        "Positive": 60.17,
+        "Neutral": 62.26
+      },
+      "acc_stderr": 0,
+      "acc": 60.97
+    },
+    "Blink": {
+      "reject_info": {
+        "reject_rate": 0.05,
+        "reject_number": 1,
+        "total_question": 1901
+      },
+      "accuracy": 64.37,
+      "Art Style": 88.03,
+      "Counting": 67.5,
+      "Forensic Detection": 58.33,
+      "Functional Correspondence": 53.85,
+      "IQ Test": 32.0,
+      "Jigsaw": 61.33,
+      "Multi-view Reasoning": 51.13,
+      "Object Localization": 63.11,
+      "Relative Depth": 77.42,
+      "Relative Reflectance": 31.34,
+      "Semantic Correspondence": 55.8,
+      "Spatial Relation": 79.02,
+      "Visual Correspondence": 91.86,
+      "Visual Similarity": 89.63,
+      "acc_stderr": 0,
+      "acc": 64.37
+    }
+  }
+}

Claude3-Opus-20240229/results_2025-01-25T10-42-53.190540.json

@@ -26,9 +26,41 @@
         "reject_number": 28,
         "total_question": 1730
       },
-      "accuracy": 52.0,
+      "accuracy": 19.92,
+      "subject_score": {
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+        "Art": 33.33,
+        "Design": 29.31,
+        "Literature": 50.0,
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+        "Finance": 28.81,
+        "Sociology": 19.23,
+        "Accounting": 24.14,
+        "Energy_and_Power": 17.24,
+        "Pharmacy": 24.56,
+        "Architecture_and_Engineering": 6.78,
+        "Clinical_Medicine": 13.79,
+        "Public_Health": 15.52,
+        "Physics": 23.33,
+        "Art_Theory": 27.27,
+        "Electronics": 11.67,
+        "Psychology": 16.95,
+        "Biology": 13.56,
+        "Manage": 20.0,
+        "Economics": 27.12,
+        "Mechanical_Engineering": 17.24,
+        "Diagnostics_and_Laboratory_Medicine": 11.67,
+        "Basic_Medical_Science": 15.38,
+        "Computer_Science": 16.95,
+        "Math": 18.33,
+        "Music": 18.33,
+        "Materials": 18.33,
+        "Marketing": 15.25,
+        "Chemistry": 23.73,
+        "Geography": 18.18
+      },
       "acc_stderr": 0,
-      "acc": 52.0
+      "acc": 19.92
     },
     "MmvetV2": {
       "reject_info": {
@@ -363,9 +395,9 @@
         "reject_number": 1,
         "total_question": 3040
       },
-      "accuracy": 24.61,
+      "accuracy": 24.35,
       "acc_stderr": 0,
-      "acc": 24.61
+      "acc": 24.35
     },
     "CII-Bench": {
       "accuracy": 47.71,

Doubao-Pro-Vision-32k-241028/results_2025-01-25T10-42-53.190540.json

@@ -134,41 +134,41 @@
       "acc": 44.59
     },
     "MMMU_Pro_vision": {
-      "accuracy": 40.06,
+      "accuracy": 33.76,
       "subject_score": {
-        "History": 35.71,
-        "Art": 18.87,
-        "Design": 31.67,
-        "Literature": 40.38,
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-        "Energy_and_Power": 63.79,
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-        "Architecture_and_Engineering": 46.67,
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-        "Physics": 60.0,
-        "Art_Theory": 43.64,
-        "Electronics": 41.67,
-        "Psychology": 31.67,
-        "Biology": 32.2,
-        "Manage": 52.0,
-        "Economics": 42.37,
-        "Mechanical_Engineering": 55.93,
-        "Diagnostics_and_Laboratory_Medicine": 13.33,
+        "History": 30.36,
+        "Art": 41.51,
+        "Design": 40.0,
+        "Literature": 65.38,
+        "Agriculture": 18.33,
+        "Finance": 50.0,
+        "Sociology": 44.44,
+        "Accounting": 43.1,
+        "Energy_and_Power": 32.76,
+        "Pharmacy": 43.86,
+        "Architecture_and_Engineering": 21.67,
+        "Clinical_Medicine": 22.03,
+        "Public_Health": 34.48,
+        "Physics": 36.67,
+        "Art_Theory": 32.73,
+        "Electronics": 25.0,
+        "Psychology": 23.33,
+        "Biology": 20.34,
+        "Manage": 26.0,
+        "Economics": 57.63,
+        "Mechanical_Engineering": 32.2,
+        "Diagnostics_and_Laboratory_Medicine": 16.67,
         "Basic_Medical_Science": 38.46,
-        "Computer_Science": 55.0,
-        "Math": 58.33,
-        "Music": 40.0,
-        "Materials": 48.33,
-        "Marketing": 37.29,
-        "Chemistry": 51.67,
-        "Geography": 30.77
+        "Computer_Science": 33.33,
+        "Math": 30.0,
+        "Music": 33.33,
+        "Materials": 13.33,
+        "Marketing": 45.76,
+        "Chemistry": 41.67,
+        "Geography": 23.08
       },
       "acc_stderr": 0,
-      "acc": 40.06
+      "acc": 33.76
     },
     "MmvetV2": {
       "accuracy": 65.706,
@@ -478,9 +478,9 @@
       "acc": 54.62
     },
     "MathVision": {
-      "accuracy": 35.56,
+      "accuracy": 35.49,
       "acc_stderr": 0,
-      "acc": 35.56
+      "acc": 35.49
     },
     "CII-Bench": {
       "accuracy": 67.97,

GLM-4V-Plus/results_2025-01-25T10-42-53.190540.json

@@ -26,9 +26,41 @@
       "acc": 37.19
     },
     "MMMU_Pro_vision": {
-      "accuracy": 23.47,
+      "accuracy": 23.35,
+      "subject_score": {
+        "History": 35.71,
+        "Art": 47.17,
+        "Design": 45.0,
+        "Literature": 59.62,
+        "Agriculture": 18.33,
+        "Finance": 10.0,
+        "Sociology": 42.59,
+        "Accounting": 15.52,
+        "Energy_and_Power": 12.07,
+        "Pharmacy": 36.84,
+        "Architecture_and_Engineering": 15.0,
+        "Clinical_Medicine": 13.56,
+        "Public_Health": 13.79,
+        "Physics": 11.67,
+        "Art_Theory": 47.27,
+        "Electronics": 8.33,
+        "Psychology": 33.33,
+        "Biology": 23.73,
+        "Manage": 18.0,
+        "Economics": 6.78,
+        "Mechanical_Engineering": 10.17,
+        "Diagnostics_and_Laboratory_Medicine": 25.0,
+        "Basic_Medical_Science": 32.69,
+        "Computer_Science": 20.0,
+        "Math": 20.0,
+        "Music": 21.67,
+        "Materials": 8.33,
+        "Marketing": 16.95,
+        "Chemistry": 25.0,
+        "Geography": 17.31
+      },
       "acc_stderr": 0,
-      "acc": 23.47
+      "acc": 23.35
     },
     "MmvetV2": {
       "reject_info": {
@@ -349,9 +381,9 @@
       "acc": 44.96
     },
     "MathVision": {
-      "accuracy": 17.66,
+      "accuracy": 17.34,
       "acc_stderr": 0,
-      "acc": 17.66
+      "acc": 17.34
     },
     "CII-Bench": {
       "accuracy": 60.86,

GPT-4o-20240806/results_2025-01-25T10-42-53.190540.json

@@ -21,9 +21,41 @@
       "acc": 37.17
     },
     "MMMU_Pro_vision": {
-      "accuracy": 46.53,
+      "accuracy": 39.36,
+      "subject_score": {
+        "History": 46.43,
+        "Art": 54.72,
+        "Design": 53.33,
+        "Literature": 69.23,
+        "Agriculture": 23.33,
+        "Finance": 58.33,
+        "Sociology": 51.85,
+        "Accounting": 51.72,
+        "Energy_and_Power": 22.41,
+        "Pharmacy": 35.09,
+        "Architecture_and_Engineering": 23.33,
+        "Clinical_Medicine": 30.51,
+        "Public_Health": 62.07,
+        "Physics": 53.33,
+        "Art_Theory": 56.36,
+        "Electronics": 21.67,
+        "Psychology": 35.0,
+        "Biology": 40.68,
+        "Manage": 40.0,
+        "Economics": 50.85,
+        "Mechanical_Engineering": 23.73,
+        "Diagnostics_and_Laboratory_Medicine": 18.33,
+        "Basic_Medical_Science": 42.31,
+        "Computer_Science": 41.67,
+        "Math": 30.0,
+        "Music": 23.33,
+        "Materials": 15.0,
+        "Marketing": 38.98,
+        "Chemistry": 43.33,
+        "Geography": 32.69
+      },
       "acc_stderr": 0,
-      "acc": 46.53
+      "acc": 39.36
     },
     "MmvetV2": {
       "accuracy": 64.6615,
@@ -339,9 +371,9 @@
         "reject_number": 1,
         "total_question": 3040
       },
-      "accuracy": 28.79,
+      "accuracy": 27.11,
       "acc_stderr": 0,
-      "acc": 28.79
+      "acc": 27.11
     },
     "CII-Bench": {
       "accuracy": 59.22,

GPT-4o-20241120/results_2025-01-25T10-42-53.190540.json

@@ -71,9 +71,41 @@
         "reject_number": 14,
         "total_question": 1730
       },
-      "accuracy": 45.4,
+      "accuracy": 45.05,
+      "subject_score": {
+        "History": 46.43,
+        "Art": 63.46,
+        "Design": 70.0,
+        "Finance": 66.67,
+        "Agriculture": 36.67,
+        "Literature": 71.15,
+        "Sociology": 59.26,
+        "Pharmacy": 40.35,
+        "Accounting": 56.14,
+        "Energy_and_Power": 43.1,
+        "Clinical_Medicine": 32.76,
+        "Architecture_and_Engineering": 26.67,
+        "Public_Health": 53.45,
+        "Art_Theory": 65.38,
+        "Physics": 40.0,
+        "Psychology": 42.37,
+        "Electronics": 35.59,
+        "Biology": 44.07,
+        "Economics": 61.02,
+        "Manage": 36.73,
+        "Mechanical_Engineering": 34.48,
+        "Diagnostics_and_Laboratory_Medicine": 31.03,
+        "Basic_Medical_Science": 44.23,
+        "Computer_Science": 45.76,
+        "Math": 31.67,
+        "Music": 23.33,
+        "Materials": 16.67,
+        "Marketing": 53.45,
+        "Chemistry": 46.67,
+        "Geography": 40.38
+      },
       "acc_stderr": 0,
-      "acc": 45.4
+      "acc": 45.05
     },
     "MmvetV2": {
       "reject_info": {
@@ -403,9 +435,9 @@
         "reject_number": 17,
         "total_question": 3040
       },
-      "accuracy": 29.61,
+      "accuracy": 29.21,
       "acc_stderr": 0,
-      "acc": 29.61
+      "acc": 29.21
     },
     "CII-Bench": {
       "accuracy": 61.05,

GPT-4o-mini-20240718/results_2025-01-25T10-42-53.190540.json

@@ -21,9 +21,41 @@
       "acc": 31.39
     },
     "MMMU_Pro_vision": {
-      "accuracy": 23.35,
+      "accuracy": 28.84,
+      "subject_score": {
+        "History": 26.79,
+        "Art": 45.28,
+        "Design": 45.0,
+        "Literature": 67.31,
+        "Agriculture": 21.67,
+        "Finance": 40.0,
+        "Sociology": 37.04,
+        "Accounting": 37.93,
+        "Energy_and_Power": 17.24,
+        "Pharmacy": 38.6,
+        "Architecture_and_Engineering": 20.0,
+        "Clinical_Medicine": 10.17,
+        "Public_Health": 24.14,
+        "Physics": 26.67,
+        "Art_Theory": 41.82,
+        "Electronics": 13.33,
+        "Psychology": 25.0,
+        "Biology": 22.03,
+        "Manage": 24.0,
+        "Economics": 30.51,
+        "Mechanical_Engineering": 20.34,
+        "Diagnostics_and_Laboratory_Medicine": 30.0,
+        "Basic_Medical_Science": 30.77,
+        "Computer_Science": 33.33,
+        "Math": 20.0,
+        "Music": 26.67,
+        "Materials": 11.67,
+        "Marketing": 27.12,
+        "Chemistry": 33.33,
+        "Geography": 25.0
+      },
       "acc_stderr": 0,
-      "acc": 23.35
+      "acc": 28.84
     },
     "MmvetV2": {
       "accuracy": 59.4197,
@@ -339,9 +371,9 @@
         "reject_number": 1,
         "total_question": 3040
       },
-      "accuracy": 26.95,
+      "accuracy": 26.36,
       "acc_stderr": 0,
-      "acc": 26.95
+      "acc": 26.36
     },
     "CII-Bench": {
       "accuracy": 45.75,

Gemini-1.5-Flash/results_2025-01-25T10-42-53.190540.json

@@ -26,9 +26,41 @@
         "reject_number": 1,
         "total_question": 1730
       },
-      "accuracy": 33.02,
+      "accuracy": 26.32,
+      "subject_score": {
+        "History": 30.36,
+        "Art": 38.46,
+        "Design": 43.33,
+        "Literature": 46.15,
+        "Agriculture": 18.33,
+        "Finance": 20.0,
+        "Sociology": 31.48,
+        "Accounting": 24.14,
+        "Energy_and_Power": 12.07,
+        "Pharmacy": 26.32,
+        "Architecture_and_Engineering": 21.67,
+        "Clinical_Medicine": 16.95,
+        "Public_Health": 22.41,
+        "Physics": 31.67,
+        "Art_Theory": 29.09,
+        "Electronics": 25.0,
+        "Psychology": 20.0,
+        "Biology": 30.51,
+        "Manage": 28.0,
+        "Economics": 23.73,
+        "Mechanical_Engineering": 23.73,
+        "Diagnostics_and_Laboratory_Medicine": 15.0,
+        "Basic_Medical_Science": 40.38,
+        "Computer_Science": 23.33,
+        "Math": 23.33,
+        "Music": 26.67,
+        "Materials": 23.33,
+        "Marketing": 33.9,
+        "Chemistry": 20.0,
+        "Geography": 26.92
+      },
       "acc_stderr": 0,
-      "acc": 33.02
+      "acc": 26.32
     },
     "MmvetV2": {
       "accuracy": 60.0193,
@@ -343,9 +375,9 @@
       "acc": 51.6
     },
     "MathVision": {
-      "accuracy": 21.15,
+      "accuracy": 18.49,
       "acc_stderr": 0,
-      "acc": 21.15
+      "acc": 18.49
     },
     "CII-Bench": {
       "accuracy": 45.23,

Gemini-1.5-Pro/results_2025-01-25T10-42-53.190540.json

@@ -63,9 +63,41 @@
         "reject_number": 57,
         "total_question": 1730
       },
-      "accuracy": 47.7,
+      "accuracy": 43.16,
+      "subject_score": {
+        "Sociology": 50.98,
+        "Design": 60.71,
+        "History": 52.73,
+        "Art": 58.82,
+        "Agriculture": 28.33,
+        "Pharmacy": 39.29,
+        "Accounting": 60.0,
+        "Clinical_Medicine": 36.21,
+        "Public_Health": 56.36,
+        "Art_Theory": 64.15,
+        "Architecture_and_Engineering": 32.76,
+        "Finance": 59.65,
+        "Energy_and_Power": 37.5,
+        "Psychology": 40.68,
+        "Literature": 60.0,
+        "Physics": 42.37,
+        "Manage": 38.3,
+        "Economics": 47.37,
+        "Electronics": 39.66,
+        "Biology": 40.35,
+        "Diagnostics_and_Laboratory_Medicine": 23.33,
+        "Basic_Medical_Science": 46.0,
+        "Mechanical_Engineering": 32.2,
+        "Computer_Science": 41.38,
+        "Math": 34.48,
+        "Music": 20.0,
+        "Marketing": 59.65,
+        "Materials": 23.21,
+        "Chemistry": 40.68,
+        "Geography": 37.5
+      },
       "acc_stderr": 0,
-      "acc": 47.7
+      "acc": 43.16
     },
     "MmvetV2": {
       "accuracy": 65.9768,
@@ -381,9 +413,9 @@
       "acc": 62.41
     },
     "MathVision": {
-      "accuracy": 44.64,
+      "accuracy": 44.47,
       "acc_stderr": 0,
-      "acc": 44.64
+      "acc": 44.47
     },
     "CII-Bench": {
       "accuracy": 59.61,

Gemini-2.0-Flash(experimental)/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,723 @@
+{
+  "config_general": {
+    "model_name": "Gemini-2.0-Flash(experimental)",
+    "model_dtype": "float16",
+    "model_size": 0
+  },
+  "results": {
+    "CMMMU": {
+      "艺术与设计": {
+        "num": 88,
+        "correct": 64,
+        "accuracy": 72.73
+      },
+      "overall": {
+        "num": 900,
+        "correct": 492,
+        "accuracy": 54.67
+      },
+      "商业": {
+        "num": 126,
+        "correct": 56,
+        "accuracy": 44.44
+      },
+      "科学": {
+        "num": 204,
+        "correct": 103,
+        "accuracy": 50.49
+      },
+      "健康与医学": {
+        "num": 153,
+        "correct": 99,
+        "accuracy": 64.71
+      },
+      "人文社会科学": {
+        "num": 85,
+        "correct": 54,
+        "accuracy": 63.53
+      },
+      "技术与工程": {
+        "num": 244,
+        "correct": 116,
+        "accuracy": 47.54
+      },
+      "accuracy": 54.67,
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+      "acc": 54.67
+    },
+    "MMMU": {
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+      "subject_score": {
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+        "Agriculture": 80.0,
+        "Architecture": 53.33,
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+        "Basic": 73.33,
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+        "Chemistry": 50.0,
+        "Clinical": 70.0,
+        "Computer": 66.67,
+        "Design": 83.33,
+        "Diagnostics": 50.0,
+        "Economics": 66.67,
+        "Electronics": 43.33,
+        "Energy": 56.67,
+        "Finance": 56.67,
+        "Geography": 63.33,
+        "History": 80.0,
+        "Literature": 93.33,
+        "Manage": 63.33,
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+        "Materials": 50.0,
+        "Math": 46.67,
+        "Mechanical": 60.0,
+        "Music": 30.0,
+        "Pharmacy": 80.0,
+        "Physics": 73.33,
+        "Psychology": 70.0,
+        "Public": 76.67,
+        "Sociology": 70.0
+      },
+      "difficulty_score": {
+        "Medium": 65.57,
+        "Easy": 73.22,
+        "Hard": 54.7
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+      "acc_stderr": 0,
+      "acc": 65.89
+    },
+    "MMMU_Pro_standard": {
+      "accuracy": 51.21,
+      "subject_score": {
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+        "Art": 69.81,
+        "Design": 68.33,
+        "Literature": 63.46,
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+        "Sociology": 51.85,
+        "Accounting": 63.79,
+        "Energy_and_Power": 37.93,
+        "Pharmacy": 45.61,
+        "Architecture_and_Engineering": 45.0,
+        "Clinical_Medicine": 42.37,
+        "Public_Health": 67.24,
+        "Physics": 40.0,
+        "Art_Theory": 67.27,
+        "Electronics": 53.33,
+        "Psychology": 50.0,
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+        "Economics": 62.71,
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+        "Diagnostics_and_Laboratory_Medicine": 31.67,
+        "Basic_Medical_Science": 59.62,
+        "Computer_Science": 56.67,
+        "Math": 55.0,
+        "Music": 23.33,
+        "Materials": 36.67,
+        "Marketing": 62.71,
+        "Chemistry": 48.33,
+        "Geography": 42.31
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+      "difficulty_score": {
+        "Medium": 48.69,
+        "Easy": 62.88,
+        "Hard": 40.9
+      },
+      "acc_stderr": 0,
+      "acc": 51.21
+    },
+    "MMMU_Pro_vision": {
+      "accuracy": 47.63,
+      "subject_score": {
+        "History": 51.79,
+        "Art": 60.38,
+        "Design": 68.33,
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+        "Sociology": 50.0,
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+        "Energy_and_Power": 34.48,
+        "Pharmacy": 49.12,
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+        "Clinical_Medicine": 45.76,
+        "Public_Health": 58.62,
+        "Physics": 51.67,
+        "Art_Theory": 65.45,
+        "Electronics": 60.0,
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+        "Economics": 64.41,
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+        "Diagnostics_and_Laboratory_Medicine": 21.67,
+        "Basic_Medical_Science": 51.92,
+        "Computer_Science": 43.33,
+        "Math": 41.67,
+        "Music": 23.33,
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+        "Marketing": 55.93,
+        "Chemistry": 46.67,
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+      "acc_stderr": 0,
+      "acc": 47.63
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+    "MmvetV2": {
+      "accuracy": 72.4178,
+      "capability_scores": {
+        "ocr": 77.21153846153848,
+        "math": 87.3529411764706,
+        "spat": 68.68020304568523,
+        "rec": 69.75728155339812,
+        "know": 71.08974358974358,
+        "gen": 70.8363636363637,
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Gemini-2.0-pro-exp-20250205/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,758 @@
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Gemini-2.5-pro-preview-20250325/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,757 @@
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+}

Gemma-3-27b-it/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,722 @@
+{
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+      ],
+      "Chinese Unlimited": [
+        16,
+        44,
+        0.364,
+        {
+          "Default": [
+            16,
+            44,
+            0.364
+          ]
+        }
+      ],
+      "acc_stderr": 0,
+      "acc": 41.453
+    },
+    "CharXiv": {
+      "descriptive": {
+        "Overall Score": 64.35,
+        "By Question": {
+          "Q1": 57.79,
+          "Q2": 74.78,
+          "Q3": 63.95,
+          "Q4": 75.1,
+          "Q5": 69.46,
+          "Q6": 60.64,
+          "Q7": 47.86,
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+          "Q9": 65.17,
+          "Q10": 60.96,
+          "Q11": 57.71,
+          "Q12": 57.69,
+          "Q13": 64.84,
+          "Q14": 63.12,
+          "Q15": 67.09,
+          "Q16": 61.11,
+          "Q17": 39.73,
+          "Q18": 86.64,
+          "Q19": 86.15
+        },
+        "By Category": {
+          "Information Extraction": 64.29,
+          "Enumeration": 65.7,
+          "Pattern Recognition": 73.58,
+          "Counting": 63.61,
+          "Compositionality": 39.73
+        },
+        "By Subplot": {
+          "1 Subplot": 73.38,
+          "2-4 Subplots": 63.82,
+          "5+ Subplots": 50.42
+        },
+        "By Subject": {
+          "Computer Science": 65.48,
+          "Economics": 65.76,
+          "Electrical Engineering and Systems Science": 70.38,
+          "Mathematics": 65.93,
+          "Physics": 58.86,
+          "Quantitative Biology": 55.95,
+          "Quantitative Finance": 66.38,
+          "Statistics": 66.59
+        },
+        "By Year": {
+          "2020": 66.5,
+          "2021": 61.3,
+          "2022": 64.45,
+          "2023": 65.32
+        },
+        "N_valid": 4000,
+        "N_invalid": 0,
+        "Question Type": "Descriptive"
+      },
+      "reasoning": {
+        "Overall Score": 28.8,
+        "By Answer Type": {
+          "Text-in-Chart": 33.18,
+          "Text-in-General": 33.33,
+          "Number-in-Chart": 27.16,
+          "Number-in-General": 20.09
+        },
+        "By Source": {
+          "GPT-Sourced": 33.15,
+          "GPT-Inspired": 25.46,
+          "Completely Human": 28.67
+        },
+        "By Subject": {
+          "Computer Science": 30.16,
+          "Economics": 27.54,
+          "Electrical Engineering and Systems Science": 27.73,
+          "Mathematics": 34.07,
+          "Physics": 29.92,
+          "Quantitative Biology": 31.75,
+          "Quantitative Finance": 20.69,
+          "Statistics": 27.43
+        },
+        "By Year": {
+          "2020": 21.46,
+          "2021": 28.74,
+          "2022": 32.38,
+          "2023": 32.66
+        },
+        "By Subplot": {
+          "1 Subplot": 30.57,
+          "2-4 Subplots": 29.37,
+          "5+ Subplots": 25.0
+        },
+        "N_valid": 1000,
+        "N_invalid": 0,
+        "Question Type": "Reasoning"
+      },
+      "accuracy": 46.57,
+      "acc_stderr": 0,
+      "acc": 46.57
+    },
+    "MathVision": {
+      "accuracy": 33.22,
+      "acc_stderr": 0,
+      "acc": 33.22
+    },
+    "CII-Bench": {
+      "accuracy": 50.85,
+      "domain_score": {
+        "Art": 52.21,
+        "Env.": 55.56,
+        "Society": 50.27,
+        "CTC": 45.19,
+        "Life": 51.52,
+        "Politics": 62.5
+      },
+      "emotion_score": {
+        "Negative": 55.09,
+        "Positive": 47.44,
+        "Neutral": 49.62
+      },
+      "acc_stderr": 0,
+      "acc": 50.85
+    },
+    "Blink": {
+      "accuracy": 54.29,
+      "Art Style": 70.94,
+      "Counting": 55.83,
+      "Forensic Detection": 37.12,
+      "Functional Correspondence": 30.0,
+      "IQ Test": 32.67,
+      "Jigsaw": 75.33,
+      "Multi-view Reasoning": 51.88,
+      "Object Localization": 54.1,
+      "Relative Depth": 66.94,
+      "Relative Reflectance": 34.33,
+      "Semantic Correspondence": 35.25,
+      "Spatial Relation": 75.52,
+      "Visual Correspondence": 57.56,
+      "Visual Similarity": 82.96,
+      "acc_stderr": 0,
+      "acc": 54.29
+    }
+  }
+}

Idefics3-8B-Llama3/results_2025-01-25T10-42-53.190540.json

@@ -21,9 +21,41 @@
       "acc": 27.86
     },
     "MMMU_Pro_vision": {
-      "accuracy": 13.53,
+      "accuracy": 8.55,
+      "subject_score": {
+        "History": 12.5,
+        "Art": 7.55,
+        "Design": 6.67,
+        "Literature": 17.31,
+        "Agriculture": 3.33,
+        "Finance": 5.0,
+        "Sociology": 7.41,
+        "Accounting": 5.17,
+        "Energy_and_Power": 8.62,
+        "Pharmacy": 12.28,
+        "Architecture_and_Engineering": 13.33,
+        "Clinical_Medicine": 8.47,
+        "Public_Health": 1.72,
+        "Physics": 20.0,
+        "Art_Theory": 1.82,
+        "Electronics": 8.33,
+        "Psychology": 5.0,
+        "Biology": 10.17,
+        "Manage": 16.0,
+        "Economics": 5.08,
+        "Mechanical_Engineering": 16.95,
+        "Diagnostics_and_Laboratory_Medicine": 5.0,
+        "Basic_Medical_Science": 9.62,
+        "Computer_Science": 6.67,
+        "Math": 10.0,
+        "Music": 6.67,
+        "Materials": 10.0,
+        "Marketing": 6.78,
+        "Chemistry": 6.67,
+        "Geography": 3.85
+      },
       "acc_stderr": 0,
-      "acc": 13.53
+      "acc": 8.55
     },
     "MmvetV2": {
       "accuracy": 36.6344,
@@ -335,9 +367,9 @@
       "acc": 34.62
     },
     "MathVision": {
-      "accuracy": 16.25,
+      "accuracy": 16.22,
       "acc_stderr": 0,
-      "acc": 16.25
+      "acc": 16.22
     },
     "CII-Bench": {
       "accuracy": 39.22,

InternVL2-2B/results_2025-01-25T10-42-53.190540.json

@@ -56,9 +56,41 @@
       "acc": 20.4
     },
     "MMMU_Pro_vision": {
-      "accuracy": 10.81,
+      "accuracy": 12.2,
+      "subject_score": {
+        "Finance": 6.67,
+        "Agriculture": 11.67,
+        "Design": 16.67,
+        "Art": 9.43,
+        "Literature": 19.23,
+        "Sociology": 14.81,
+        "History": 8.93,
+        "Pharmacy": 22.81,
+        "Clinical_Medicine": 8.47,
+        "Energy_and_Power": 5.17,
+        "Accounting": 12.07,
+        "Public_Health": 5.17,
+        "Architecture_and_Engineering": 11.67,
+        "Psychology": 10.0,
+        "Art_Theory": 7.27,
+        "Electronics": 8.33,
+        "Physics": 11.67,
+        "Biology": 16.95,
+        "Mechanical_Engineering": 18.64,
+        "Manage": 20.0,
+        "Economics": 8.47,
+        "Basic_Medical_Science": 23.08,
+        "Diagnostics_and_Laboratory_Medicine": 13.33,
+        "Computer_Science": 11.67,
+        "Math": 8.33,
+        "Music": 11.67,
+        "Marketing": 6.78,
+        "Materials": 16.67,
+        "Chemistry": 10.0,
+        "Geography": 13.46
+      },
       "acc_stderr": 0,
-      "acc": 10.81
+      "acc": 12.2
     },
     "MmvetV2": {
       "accuracy": 39.4584,
@@ -368,9 +400,9 @@
       "acc": 28.35
     },
     "MathVision": {
-      "accuracy": 14.01,
+      "accuracy": 13.88,
       "acc_stderr": 0,
-      "acc": 14.01
+      "acc": 13.88
     },
     "CII-Bench": {
       "accuracy": 38.95,

InternVL2-8B/results_2025-01-25T10-42-53.190540.json

@@ -21,9 +21,41 @@
       "acc": 31.27
     },
     "MMMU_Pro_vision": {
-      "accuracy": 35.55,
+      "accuracy": 18.84,
+      "subject_score": {
+        "History": 12.5,
+        "Art": 20.75,
+        "Design": 25.0,
+        "Literature": 48.08,
+        "Agriculture": 18.33,
+        "Finance": 23.33,
+        "Sociology": 25.93,
+        "Accounting": 17.24,
+        "Energy_and_Power": 15.52,
+        "Pharmacy": 31.58,
+        "Architecture_and_Engineering": 18.33,
+        "Clinical_Medicine": 3.39,
+        "Public_Health": 12.07,
+        "Physics": 15.0,
+        "Art_Theory": 9.09,
+        "Electronics": 20.0,
+        "Psychology": 16.67,
+        "Biology": 16.95,
+        "Manage": 18.0,
+        "Economics": 25.42,
+        "Mechanical_Engineering": 22.03,
+        "Diagnostics_and_Laboratory_Medicine": 21.67,
+        "Basic_Medical_Science": 15.38,
+        "Computer_Science": 13.33,
+        "Math": 15.0,
+        "Music": 16.67,
+        "Materials": 8.33,
+        "Marketing": 25.42,
+        "Chemistry": 20.0,
+        "Geography": 17.31
+      },
       "acc_stderr": 0,
-      "acc": 35.55
+      "acc": 18.84
     },
     "MmvetV2": {
       "accuracy": 52.0116,
@@ -332,9 +364,9 @@
       "acc": 37.61
     },
     "MathVision": {
-      "accuracy": 19.77,
+      "accuracy": 19.34,
       "acc_stderr": 0,
-      "acc": 19.77
+      "acc": 19.34
     },
     "CII-Bench": {
       "accuracy": 51.9,

InternVL2-Llama3-76B/results_2025-01-25T10-42-53.190540.json

@@ -21,9 +21,41 @@
       "acc": 36.3
     },
     "MMMU_Pro_vision": {
-      "accuracy": 13.82,
+      "accuracy": 23.58,
+      "subject_score": {
+        "Design": 28.33,
+        "History": 23.21,
+        "Literature": 57.69,
+        "Art": 30.19,
+        "Agriculture": 11.67,
+        "Finance": 15.0,
+        "Sociology": 38.89,
+        "Public_Health": 25.86,
+        "Clinical_Medicine": 13.56,
+        "Pharmacy": 28.07,
+        "Accounting": 27.59,
+        "Architecture_and_Engineering": 8.33,
+        "Physics": 18.33,
+        "Art_Theory": 40.0,
+        "Psychology": 16.67,
+        "Biology": 27.12,
+        "Economics": 15.25,
+        "Manage": 28.0,
+        "Mechanical_Engineering": 27.12,
+        "Basic_Medical_Science": 28.85,
+        "Diagnostics_and_Laboratory_Medicine": 28.33,
+        "Electronics": 21.67,
+        "Computer_Science": 26.67,
+        "Math": 20.0,
+        "Music": 21.67,
+        "Marketing": 25.42,
+        "Energy_and_Power": 15.52,
+        "Chemistry": 18.33,
+        "Geography": 21.15,
+        "Materials": 8.33
+      },
       "acc_stderr": 0,
-      "acc": 13.82
+      "acc": 23.58
     },
     "MmvetV2": {
       "accuracy": 62.3404,
@@ -334,9 +366,9 @@
       "acc": 52.09
     },
     "MathVision": {
-      "accuracy": 17.07,
+      "accuracy": 16.18,
       "acc_stderr": 0,
-      "acc": 17.07
+      "acc": 16.18
     },
     "CII-Bench": {
       "accuracy": 53.99,

InternVL2_5-26B/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,518 @@
+{
+  "config_general": {
+    "model_name": "InternVL2_5-26B",
+    "model_dtype": "float16",
+    "model_size": 0
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+  "results": {
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+      "商业": {
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+      "科学": {
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+        "accuracy": 35.78
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+      "健康与医学": {
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+        "accuracy": 50.98
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+      "人文社会科学": {
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+      },
+      "技术与工程": {
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+}

InternVL2_5-3B/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,720 @@
+{
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InternVL2_5-8B/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,519 @@
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InternVL3-78B/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,717 @@
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+}

InternVL3-8B/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,718 @@
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+      ],
+      "Key Information Extraction": [
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+        209,
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+        {
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+            209,
+            0.842
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+        }
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+      "Scene Text-centric VQA-Control": [
+        162,
+        200,
+        0.81,
+        {
+          "Default": [
+            162,
+            200,
+            0.81
+          ]
+        }
+      ],
+      "Scene Text-centric VQA": [
+        214,
+        282,
+        0.759,
+        {
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+            282,
+            0.759
+          ]
+        }
+      ],
+      "Artistic Text Recognition": [
+        38,
+        50,
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+        {
+          "Default": [
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+      ],
+      "Irregular Text Recognition": [
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+        {
+          "Default": [
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+            50,
+            0.84
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+        }
+      ],
+      "Non-Semantic Text Recognition": [
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+        50,
+        0.92,
+        {
+          "Default": [
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+        }
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+      "Regular Text Recognition": [
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+        50,
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+        {
+          "Default": [
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+            50,
+            0.96
+          ]
+        }
+      ],
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+      "acc": 72.019
+    },
+    "OcrliteZh": {
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+        234
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+      "accuracy": 59.829,
+      "Docvqa": [
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+            0.4
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+      "Chartqa-human": [
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+        {
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+            10,
+            0.3
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+        }
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+      "Chartqa-au": [
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+        {
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+            0.8
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+        }
+      ],
+      "Scene Text-centric VQA": [
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+        {
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+            40,
+            0.6
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+        }
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+      "Artistic Text Recognition": [
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+        11,
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+        {
+          "Default": [
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+      ],
+      "IrRegular Text Recognition": [
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+        11,
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+        {
+          "Default": [
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+            11,
+            0.818
+          ]
+        }
+      ],
+      "Non-semantic Text Recognition": [
+        10,
+        12,
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+        {
+          "Default": [
+            10,
+            12,
+            0.833
+          ]
+        }
+      ],
+      "Regular Text Recognition": [
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+        11,
+        0.818,
+        {
+          "Default": [
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+            11,
+            0.818
+          ]
+        }
+      ],
+      "Handwriting_CN": [
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+      "Chinese Unlimited": [
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+          ]
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+        },
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+          "Information Extraction": 77.82,
+          "Enumeration": 74.17,
+          "Pattern Recognition": 75.11,
+          "Counting": 65.65,
+          "Compositionality": 28.57
+        },
+        "By Subplot": {
+          "1 Subplot": 80.51,
+          "2-4 Subplots": 71.83,
+          "5+ Subplots": 60.17
+        },
+        "By Subject": {
+          "Computer Science": 68.25,
+          "Economics": 74.28,
+          "Electrical Engineering and Systems Science": 76.89,
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+          "Quantitative Biology": 70.44,
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+        },
+        "By Year": {
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+          "2021": 71.93,
+          "2022": 71.62,
+          "2023": 72.78
+        },
+        "N_valid": 4000,
+        "N_invalid": 0,
+        "Question Type": "Descriptive"
+      },
+      "reasoning": {
+        "Overall Score": 36.6,
+        "By Answer Type": {
+          "Text-in-Chart": 37.73,
+          "Text-in-General": 44.44,
+          "Number-in-Chart": 38.79,
+          "Number-in-General": 28.82
+        },
+        "By Source": {
+          "GPT-Sourced": 38.04,
+          "GPT-Inspired": 36.57,
+          "Completely Human": 36.17
+        },
+        "By Subject": {
+          "Computer Science": 30.16,
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+          "Electrical Engineering and Systems Science": 39.5,
+          "Mathematics": 38.52,
+          "Physics": 43.31,
+          "Quantitative Biology": 36.51,
+          "Quantitative Finance": 33.62,
+          "Statistics": 31.86
+        },
+        "By Year": {
+          "2020": 33.6,
+          "2021": 38.31,
+          "2022": 35.66,
+          "2023": 38.71
+        },
+        "By Subplot": {
+          "1 Subplot": 38.6,
+          "2-4 Subplots": 37.57,
+          "5+ Subplots": 31.78
+        },
+        "N_valid": 1000,
+        "N_invalid": 0,
+        "Question Type": "Reasoning"
+      },
+      "accuracy": 54.51,
+      "acc_stderr": 0,
+      "acc": 54.51
+    },
+    "MathVision": {
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+      "acc_stderr": 0,
+      "acc": 30.46
+    },
+    "CII-Bench": {
+      "accuracy": 56.08,
+      "domain_score": {
+        "CTC": 49.63,
+        "Art": 52.94,
+        "Life": 52.81,
+        "Society": 63.24,
+        "Env.": 62.96,
+        "Politics": 70.83
+      },
+      "emotion_score": {
+        "Positive": 51.71,
+        "Negative": 59.62,
+        "Neutral": 56.39
+      },
+      "acc_stderr": 0,
+      "acc": 56.08
+    },
+    "Blink": {
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+      "Art Style": 80.34,
+      "Counting": 68.33,
+      "Forensic Detection": 37.88,
+      "Functional Correspondence": 28.46,
+      "IQ Test": 25.33,
+      "Jigsaw": 64.67,
+      "Multi-view Reasoning": 47.37,
+      "Object Localization": 51.64,
+      "Relative Depth": 77.42,
+      "Relative Reflectance": 34.33,
+      "Semantic Correspondence": 38.85,
+      "Spatial Relation": 88.81,
+      "Visual Correspondence": 55.23,
+      "Visual Similarity": 80.74,
+      "acc_stderr": 0,
+      "acc": 55.29
+    }
+  }
+}

Janus-1.3B/results_2025-01-25T10-42-53.190540.json

@@ -21,9 +21,41 @@
       "acc": 15.09
     },
     "MMMU_Pro_vision": {
-      "accuracy": 10.75,
+      "accuracy": 11.97,
+      "subject_score": {
+        "History": 0.0,
+        "Art": 13.21,
+        "Design": 3.33,
+        "Literature": 9.62,
+        "Agriculture": 13.33,
+        "Finance": 11.67,
+        "Sociology": 12.96,
+        "Accounting": 20.69,
+        "Energy_and_Power": 13.79,
+        "Pharmacy": 17.54,
+        "Architecture_and_Engineering": 10.0,
+        "Clinical_Medicine": 10.17,
+        "Public_Health": 3.45,
+        "Physics": 16.67,
+        "Art_Theory": 5.45,
+        "Electronics": 5.0,
+        "Psychology": 10.0,
+        "Biology": 15.25,
+        "Manage": 18.0,
+        "Economics": 15.25,
+        "Mechanical_Engineering": 18.64,
+        "Diagnostics_and_Laboratory_Medicine": 6.67,
+        "Basic_Medical_Science": 9.62,
+        "Computer_Science": 10.0,
+        "Math": 15.0,
+        "Music": 16.67,
+        "Materials": 10.0,
+        "Marketing": 13.56,
+        "Chemistry": 20.0,
+        "Geography": 13.46
+      },
       "acc_stderr": 0,
-      "acc": 10.75
+      "acc": 11.97
     },
     "MmvetV2": {
       "accuracy": 27.911,
@@ -333,9 +365,9 @@
       "acc": 17.32
     },
     "MathVision": {
-      "accuracy": 14.21,
+      "accuracy": 14.24,
       "acc_stderr": 0,
-      "acc": 14.21
+      "acc": 14.24
     },
     "CII-Bench": {
       "accuracy": 21.96,

LLaVA-OneVision-0.5B/results_2025-01-25T10-42-53.190540.json

@@ -129,7 +129,7 @@
       "acc": 17.28
     },
     "MMMU_Pro_vision": {
-      "accuracy": 11.97,
+      "accuracy": 12.08,
       "subject_score": {
         "Art": 13.21,
         "History": 5.36,
@@ -152,18 +152,18 @@
         "Mechanical_Engineering": 16.95,
         "Economics": 3.39,
         "Biology": 11.86,
-        "Diagnostics_and_Laboratory_Medicine": 10.0,
+        "Diagnostics_and_Laboratory_Medicine": 11.67,
         "Basic_Medical_Science": 15.38,
         "Computer_Science": 16.67,
         "Math": 13.33,
         "Music": 31.67,
-        "Materials": 11.67,
+        "Materials": 13.33,
         "Marketing": 8.47,
         "Chemistry": 23.33,
         "Geography": 11.54
       },
       "acc_stderr": 0,
-      "acc": 11.97
+      "acc": 12.08
     },
     "MmvetV2": {
       "reject_info": {
@@ -479,9 +479,9 @@
       "acc": 22.84
     },
     "MathVision": {
-      "accuracy": 13.29,
+      "accuracy": 13.09,
       "acc_stderr": 0,
-      "acc": 13.29
+      "acc": 13.09
     },
     "CII-Bench": {
       "accuracy": 28.5,

LLaVA-OneVision-7B/results_2025-01-25T10-42-53.190540.json

@@ -21,9 +21,41 @@
       "acc": 28.67
     },
     "MMMU_Pro_vision": {
-      "accuracy": 13.82,
+      "accuracy": 11.39,
+      "subject_score": {
+        "Literature": 17.31,
+        "Sociology": 9.26,
+        "History": 10.71,
+        "Finance": 15.0,
+        "Art": 11.32,
+        "Design": 8.33,
+        "Agriculture": 8.33,
+        "Clinical_Medicine": 13.56,
+        "Accounting": 8.62,
+        "Energy_and_Power": 13.79,
+        "Architecture_and_Engineering": 5.0,
+        "Electronics": 6.67,
+        "Art_Theory": 9.09,
+        "Physics": 13.33,
+        "Public_Health": 5.17,
+        "Manage": 22.0,
+        "Biology": 13.56,
+        "Psychology": 16.67,
+        "Economics": 16.95,
+        "Diagnostics_and_Laboratory_Medicine": 8.33,
+        "Mechanical_Engineering": 5.08,
+        "Basic_Medical_Science": 7.69,
+        "Computer_Science": 11.67,
+        "Math": 8.33,
+        "Pharmacy": 15.79,
+        "Music": 16.67,
+        "Materials": 5.0,
+        "Marketing": 15.25,
+        "Chemistry": 8.33,
+        "Geography": 17.31
+      },
       "acc_stderr": 0,
-      "acc": 13.82
+      "acc": 11.39
     },
     "MmvetV2": {
       "reject_info": {

LLaVA-Onevision-72B/results_2025-01-25T10-42-53.190540.json

@@ -66,9 +66,41 @@
         "reject_number": 2,
         "total_question": 1730
       },
-      "accuracy": 31.94,
+      "accuracy": 23.9,
+      "subject_score": {
+        "History": 26.79,
+        "Literature": 55.77,
+        "Sociology": 35.19,
+        "Art": 28.3,
+        "Agriculture": 16.67,
+        "Design": 35.0,
+        "Pharmacy": 38.6,
+        "Energy_and_Power": 15.52,
+        "Architecture_and_Engineering": 11.67,
+        "Art_Theory": 38.18,
+        "Electronics": 23.33,
+        "Accounting": 21.43,
+        "Psychology": 16.67,
+        "Biology": 16.95,
+        "Manage": 20.0,
+        "Public_Health": 17.24,
+        "Economics": 28.81,
+        "Diagnostics_and_Laboratory_Medicine": 11.67,
+        "Clinical_Medicine": 18.64,
+        "Physics": 18.33,
+        "Mechanical_Engineering": 25.42,
+        "Finance": 26.67,
+        "Computer_Science": 30.0,
+        "Math": 20.0,
+        "Basic_Medical_Science": 17.31,
+        "Marketing": 22.03,
+        "Music": 25.0,
+        "Materials": 21.67,
+        "Chemistry": 16.67,
+        "Geography": 23.08
+      },
       "acc_stderr": 0,
-      "acc": 31.94
+      "acc": 23.9
     },
     "MmvetV2": {
       "reject_info": {
@@ -397,9 +429,9 @@
       "acc": 52.09
     },
     "MathVision": {
-      "accuracy": 25.1,
+      "accuracy": 25.03,
       "acc_stderr": 0,
-      "acc": 25.1
+      "acc": 25.03
     },
     "CII-Bench": {
       "accuracy": 57.78,

Llama-3.2-11B-Vision-Instruct/results_2025-01-25T10-42-53.190540.json

@@ -21,9 +21,41 @@
       "acc": 26.53
     },
     "MMMU_Pro_vision": {
-      "accuracy": 33.93,
+      "accuracy": 12.6,
+      "subject_score": {
+        "History": 8.93,
+        "Art": 1.89,
+        "Design": 3.33,
+        "Literature": 1.92,
+        "Agriculture": 18.33,
+        "Finance": 10.0,
+        "Sociology": 9.26,
+        "Accounting": 17.24,
+        "Energy_and_Power": 12.07,
+        "Pharmacy": 33.33,
+        "Architecture_and_Engineering": 11.67,
+        "Clinical_Medicine": 3.39,
+        "Public_Health": 12.07,
+        "Physics": 16.67,
+        "Art_Theory": 7.27,
+        "Electronics": 11.67,
+        "Psychology": 13.33,
+        "Biology": 11.86,
+        "Manage": 22.0,
+        "Economics": 10.17,
+        "Mechanical_Engineering": 16.95,
+        "Diagnostics_and_Laboratory_Medicine": 13.33,
+        "Basic_Medical_Science": 9.62,
+        "Computer_Science": 16.67,
+        "Math": 6.67,
+        "Music": 13.33,
+        "Materials": 11.67,
+        "Marketing": 10.17,
+        "Chemistry": 25.0,
+        "Geography": 17.31
+      },
       "acc_stderr": 0,
-      "acc": 33.93
+      "acc": 12.6
     },
     "MmvetV2": {
       "reject_info": {
@@ -337,9 +369,9 @@
       "acc": 40.14
     },
     "MathVision": {
-      "accuracy": 16.71,
+      "accuracy": 15.72,
       "acc_stderr": 0,
-      "acc": 16.71
+      "acc": 15.72
     },
     "CII-Bench": {
       "accuracy": 1.44,

Llama-3.2-90B-Vision-Instruct/results_2025-01-25T10-42-53.190540.json

@@ -94,9 +94,41 @@
       "acc": 38.09
     },
     "MMMU_Pro_vision": {
-      "accuracy": 23.58,
+      "accuracy": 16.01,
+      "subject_score": {
+        "Art": 11.32,
+        "Design": 8.33,
+        "History": 10.71,
+        "Agriculture": 8.33,
+        "Literature": 17.31,
+        "Sociology": 11.11,
+        "Finance": 15.0,
+        "Accounting": 18.97,
+        "Pharmacy": 28.07,
+        "Architecture_and_Engineering": 28.33,
+        "Clinical_Medicine": 6.78,
+        "Public_Health": 10.34,
+        "Physics": 16.67,
+        "Art_Theory": 10.91,
+        "Energy_and_Power": 20.69,
+        "Psychology": 18.33,
+        "Biology": 15.25,
+        "Manage": 30.0,
+        "Economics": 20.34,
+        "Electronics": 15.0,
+        "Mechanical_Engineering": 22.03,
+        "Diagnostics_and_Laboratory_Medicine": 10.0,
+        "Basic_Medical_Science": 11.54,
+        "Computer_Science": 15.0,
+        "Math": 13.33,
+        "Music": 23.33,
+        "Marketing": 16.95,
+        "Materials": 10.0,
+        "Chemistry": 25.0,
+        "Geography": 11.54
+      },
       "acc_stderr": 0,
-      "acc": 23.58
+      "acc": 16.01
     },
     "MmvetV2": {
       "accuracy": 47.234,
@@ -408,9 +440,9 @@
       "acc": 49.1
     },
     "MathVision": {
-      "accuracy": 21.51,
+      "accuracy": 21.18,
       "acc_stderr": 0,
-      "acc": 21.51
+      "acc": 21.18
     },
     "CII-Bench": {
       "accuracy": 55.82,

Llama-4-maverick-instruct-basic/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,730 @@
+{
+  "config_general": {
+    "model_name": "Llama-4-maverick-instruct-basic",
+    "model_dtype": "float16",
+    "model_size": 0
+  },
+  "results": {
+    "CMMMU": {
+      "艺术与设计": {
+        "num": 88,
+        "correct": 65,
+        "accuracy": 73.86
+      },
+      "overall": {
+        "num": 900,
+        "correct": 515,
+        "accuracy": 57.22
+      },
+      "商业": {
+        "num": 126,
+        "correct": 52,
+        "accuracy": 41.27
+      },
+      "科学": {
+        "num": 204,
+        "correct": 111,
+        "accuracy": 54.41
+      },
+      "健康与医学": {
+        "num": 153,
+        "correct": 89,
+        "accuracy": 58.17
+      },
+      "人文社会科学": {
+        "num": 85,
+        "correct": 48,
+        "accuracy": 56.47
+      },
+      "技术与工程": {
+        "num": 244,
+        "correct": 150,
+        "accuracy": 61.48
+      },
+      "accuracy": 57.22,
+      "acc_stderr": 0,
+      "acc": 57.22
+    },
+    "MMMU": {
+      "accuracy": 69.56,
+      "subject_score": {
+        "Accounting": 76.67,
+        "Agriculture": 60.0,
+        "Architecture": 63.33,
+        "Art": 73.33,
+        "Basic": 73.33,
+        "Biology": 40.0,
+        "Chemistry": 60.0,
+        "Clinical": 73.33,
+        "Computer": 63.33,
+        "Design": 73.33,
+        "Diagnostics": 56.67,
+        "Economics": 76.67,
+        "Electronics": 60.0,
+        "Energy": 76.67,
+        "Finance": 80.0,
+        "Geography": 66.67,
+        "History": 73.33,
+        "Literature": 86.67,
+        "Manage": 63.33,
+        "Marketing": 86.67,
+        "Materials": 50.0,
+        "Math": 63.33,
+        "Mechanical": 50.0,
+        "Music": 46.67,
+        "Pharmacy": 90.0,
+        "Physics": 73.33,
+        "Psychology": 76.67,
+        "Public": 96.67,
+        "Sociology": 83.33
+      },
+      "difficulty_score": {
+        "Medium": 68.4,
+        "Easy": 77.63,
+        "Hard": 59.12
+      },
+      "acc_stderr": 0,
+      "acc": 69.56
+    },
+    "MMMU_Pro_standard": {
+      "accuracy": 52.95,
+      "subject_score": {
+        "History": 46.43,
+        "Design": 51.67,
+        "Art": 54.72,
+        "Literature": 63.46,
+        "Sociology": 55.56,
+        "Agriculture": 36.67,
+        "Accounting": 82.76,
+        "Finance": 73.33,
+        "Pharmacy": 57.89,
+        "Clinical_Medicine": 44.07,
+        "Energy_and_Power": 51.72,
+        "Architecture_and_Engineering": 41.67,
+        "Public_Health": 67.24,
+        "Physics": 45.0,
+        "Art_Theory": 56.36,
+        "Electronics": 70.0,
+        "Psychology": 45.0,
+        "Economics": 67.8,
+        "Manage": 50.0,
+        "Biology": 49.15,
+        "Diagnostics_and_Laboratory_Medicine": 48.33,
+        "Mechanical_Engineering": 47.46,
+        "Basic_Medical_Science": 46.15,
+        "Computer_Science": 53.33,
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+}

MiniCPM-V-2.6/results_2025-01-25T10-42-53.190540.json

@@ -21,9 +21,41 @@
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       "acc_stderr": 0,
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     "MmvetV2": {
       "accuracy": 54.7582,

Mistral-Small-3.1-24B-Instruct-2503/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,723 @@
+{
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+        "By Subplot": {
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+        "By Year": {
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+        "By Year": {
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+          "2021": 47.89,
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+          "2023": 55.24
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+        "By Subplot": {
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+        "Env.": 48.15,
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+        "Negative": 52.45,
+        "Positive": 48.72
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+    "Blink": {
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+      "Object Localization": 50.82,
+      "Relative Depth": 71.77,
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+      "Visual Correspondence": 68.02,
+      "Visual Similarity": 74.81,
+      "acc_stderr": 0,
+      "acc": 55.23
+    }
+  }
+}

Molmo-72B-0924/results_2025-01-25T10-42-53.190540.json

@@ -21,9 +21,41 @@
       "acc": 36.65
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     "MMMU_Pro_vision": {
-      "accuracy": 60.69,
+      "accuracy": 24.28,
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+        "Finance": 28.33,
+        "Sociology": 27.78,
+        "Accounting": 25.86,
+        "Energy_and_Power": 13.79,
+        "Pharmacy": 33.33,
+        "Architecture_and_Engineering": 13.33,
+        "Clinical_Medicine": 10.17,
+        "Public_Health": 18.97,
+        "Physics": 21.67,
+        "Art_Theory": 32.73,
+        "Electronics": 16.67,
+        "Psychology": 28.33,
+        "Biology": 23.73,
+        "Manage": 26.0,
+        "Economics": 40.68,
+        "Mechanical_Engineering": 28.81,
+        "Diagnostics_and_Laboratory_Medicine": 16.67,
+        "Basic_Medical_Science": 30.77,
+        "Computer_Science": 25.0,
+        "Math": 16.67,
+        "Music": 11.67,
+        "Materials": 11.67,
+        "Marketing": 20.34,
+        "Chemistry": 15.0,
+        "Geography": 30.77
+      },
       "acc_stderr": 0,
-      "acc": 60.69
+      "acc": 24.28
     },
     "MmvetV2": {
       "accuracy": 59.2456,
@@ -332,9 +364,9 @@
       "acc": 54.27
     },
     "MathVision": {
-      "accuracy": 24.38,
+      "accuracy": 24.24,
       "acc_stderr": 0,
-      "acc": 24.38
+      "acc": 24.24
     },
     "CII-Bench": {
       "accuracy": 52.55,

Molmo-7B-D/results_2025-01-25T10-42-53.190540.json

@@ -21,9 +21,41 @@
       "acc": 26.07
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     "MMMU_Pro_vision": {
-      "accuracy": 54.97,
+      "accuracy": 16.07,
+      "subject_score": {
+        "History": 26.79,
+        "Art": 20.75,
+        "Design": 23.33,
+        "Literature": 48.08,
+        "Agriculture": 10.0,
+        "Finance": 5.0,
+        "Sociology": 20.37,
+        "Accounting": 12.07,
+        "Energy_and_Power": 10.34,
+        "Pharmacy": 26.32,
+        "Architecture_and_Engineering": 15.0,
+        "Clinical_Medicine": 11.86,
+        "Public_Health": 6.9,
+        "Physics": 11.67,
+        "Art_Theory": 16.36,
+        "Electronics": 15.0,
+        "Psychology": 10.0,
+        "Biology": 15.25,
+        "Manage": 20.0,
+        "Economics": 8.47,
+        "Mechanical_Engineering": 16.95,
+        "Diagnostics_and_Laboratory_Medicine": 18.33,
+        "Basic_Medical_Science": 17.31,
+        "Computer_Science": 15.0,
+        "Math": 18.33,
+        "Music": 13.33,
+        "Materials": 11.67,
+        "Marketing": 5.08,
+        "Chemistry": 18.33,
+        "Geography": 21.15
+      },
       "acc_stderr": 0,
-      "acc": 54.97
+      "acc": 16.07
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     "MmvetV2": {
       "accuracy": 52.6886,

Mono-InternVL-2B/results_2025-01-25T10-42-53.190540.json

@@ -21,9 +21,41 @@
       "acc": 16.53
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     "MMMU_Pro_vision": {
-      "accuracy": 10.69,
+      "accuracy": 10.0,
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+        "Art": 9.43,
+        "Design": 6.67,
+        "Literature": 15.38,
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+        "Finance": 8.33,
+        "Sociology": 11.11,
+        "Accounting": 8.62,
+        "Energy_and_Power": 3.45,
+        "Pharmacy": 24.56,
+        "Architecture_and_Engineering": 3.33,
+        "Clinical_Medicine": 10.17,
+        "Public_Health": 3.45,
+        "Physics": 11.67,
+        "Art_Theory": 12.73,
+        "Electronics": 1.67,
+        "Psychology": 15.0,
+        "Biology": 11.86,
+        "Manage": 6.0,
+        "Economics": 11.86,
+        "Mechanical_Engineering": 5.08,
+        "Diagnostics_and_Laboratory_Medicine": 13.33,
+        "Basic_Medical_Science": 7.69,
+        "Computer_Science": 10.0,
+        "Math": 18.33,
+        "Music": 10.0,
+        "Materials": 6.67,
+        "Marketing": 8.47,
+        "Chemistry": 6.67,
+        "Geography": 13.46
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       "acc_stderr": 0,
-      "acc": 10.69
+      "acc": 10.0
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     "MmvetV2": {
       "accuracy": 32.4371,
@@ -332,9 +364,9 @@
       "acc": 22.88
     },
     "MathVision": {
-      "accuracy": 12.53,
+      "accuracy": 12.34,
       "acc_stderr": 0,
-      "acc": 12.53
+      "acc": 12.34
     },
     "CII-Bench": {
       "accuracy": 23.4,

NVLM-D-72B/results_2025-01-25T10-42-53.190540.json

@@ -26,9 +26,41 @@
       "acc": 36.84
     },
     "MMMU_Pro_vision": {
-      "accuracy": 38.73,
+      "accuracy": 21.68,
+      "subject_score": {
+        "Agriculture": 16.67,
+        "History": 26.79,
+        "Finance": 26.67,
+        "Sociology": 35.19,
+        "Design": 31.67,
+        "Art": 32.08,
+        "Accounting": 24.14,
+        "Architecture_and_Engineering": 13.33,
+        "Literature": 50.0,
+        "Pharmacy": 31.58,
+        "Public_Health": 8.62,
+        "Physics": 15.0,
+        "Energy_and_Power": 8.62,
+        "Art_Theory": 30.91,
+        "Clinical_Medicine": 22.03,
+        "Psychology": 18.33,
+        "Manage": 16.0,
+        "Biology": 23.73,
+        "Economics": 23.73,
+        "Electronics": 13.33,
+        "Mechanical_Engineering": 23.73,
+        "Diagnostics_and_Laboratory_Medicine": 10.0,
+        "Computer_Science": 21.67,
+        "Basic_Medical_Science": 38.46,
+        "Math": 18.33,
+        "Music": 15.0,
+        "Marketing": 23.73,
+        "Materials": 15.0,
+        "Chemistry": 16.67,
+        "Geography": 5.77
+      },
       "acc_stderr": 0,
-      "acc": 38.73
+      "acc": 21.68
     },
     "MmvetV2": {
       "reject_info": {
@@ -349,9 +381,9 @@
       "acc": 49.3
     },
     "MathVision": {
-      "accuracy": 20.26,
+      "accuracy": 19.74,
       "acc_stderr": 0,
-      "acc": 20.26
+      "acc": 19.74
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     "CII-Bench": {
       "accuracy": 55.42,

Phi-3.5-Vision-Instruct/results_2025-01-25T10-42-53.190540.json

@@ -21,9 +21,41 @@
       "acc": 24.28
     },
     "MMMU_Pro_vision": {
-      "accuracy": 11.5,
+      "accuracy": 12.43,
+      "subject_score": {
+        "History": 7.14,
+        "Art": 16.98,
+        "Design": 13.33,
+        "Literature": 26.92,
+        "Agriculture": 5.0,
+        "Finance": 8.33,
+        "Sociology": 12.96,
+        "Accounting": 10.34,
+        "Energy_and_Power": 6.9,
+        "Pharmacy": 19.3,
+        "Architecture_and_Engineering": 8.33,
+        "Clinical_Medicine": 3.39,
+        "Public_Health": 10.34,
+        "Physics": 11.67,
+        "Art_Theory": 1.82,
+        "Electronics": 11.67,
+        "Psychology": 13.33,
+        "Biology": 15.25,
+        "Manage": 22.0,
+        "Economics": 10.17,
+        "Mechanical_Engineering": 15.25,
+        "Diagnostics_and_Laboratory_Medicine": 10.0,
+        "Basic_Medical_Science": 26.92,
+        "Computer_Science": 13.33,
+        "Math": 10.0,
+        "Music": 20.0,
+        "Materials": 8.33,
+        "Marketing": 10.17,
+        "Chemistry": 18.33,
+        "Geography": 9.62
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       "acc_stderr": 0,
-      "acc": 11.5
+      "acc": 12.43
     },
     "MmvetV2": {
       "accuracy": 42.5725,
@@ -334,9 +366,9 @@
       "acc": 38.15
     },
     "MathVision": {
-      "accuracy": 14.47,
+      "accuracy": 14.64,
       "acc_stderr": 0,
-      "acc": 14.47
+      "acc": 14.64
     },
     "CII-Bench": {
       "accuracy": 36.08,

Phi-4-multimodal-instruct/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,685 @@
+{
+  "config_general": {
+    "model_name": "Phi-4-multimodal-instruct",
+    "model_dtype": "float16",
+    "model_size": 0
+  },
+  "results": {
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+        "Literature": 90.0,
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+        "Mechanical": 26.67,
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+        "Pharmacy": 60.0,
+        "Physics": 60.0,
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+        "Public": 66.67,
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+      "Total": {
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+        "total": 3940
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+      "Text Lite": {
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+      "Vision Intensive": {
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+      "Vision Dominant": {
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+        {
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+      "Doc-oriented VQA-Control": [
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+      "IrRegular Text Recognition": [
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+        11,
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+          "Default": [
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+      "Non-semantic Text Recognition": [
+        6,
+        12,
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+      "Chinese Unlimited": [
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+    "CharXiv": {
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+          "Q18": 70.45,
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+        "By Category": {
+          "Information Extraction": 67.2,
+          "Enumeration": 48.59,
+          "Pattern Recognition": 58.08,
+          "Counting": 61.58,
+          "Compositionality": 3.12
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+        "By Subplot": {
+          "1 Subplot": 64.18,
+          "2-4 Subplots": 54.03,
+          "5+ Subplots": 46.82
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+        "By Subject": {
+          "Computer Science": 51.79,
+          "Economics": 57.07,
+          "Electrical Engineering and Systems Science": 65.13,
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+          "Physics": 49.41,
+          "Quantitative Biology": 51.19,
+          "Quantitative Finance": 59.91,
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+        "By Year": {
+          "2020": 55.97,
+          "2021": 54.89,
+          "2022": 55.02,
+          "2023": 59.17
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+        "N_valid": 4000,
+        "N_invalid": 0,
+        "Question Type": "Descriptive"
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+      "reasoning": {
+        "Overall Score": 34.3,
+        "By Answer Type": {
+          "Text-in-Chart": 32.5,
+          "Text-in-General": 47.47,
+          "Number-in-Chart": 39.66,
+          "Number-in-General": 26.64
+        },
+        "By Source": {
+          "GPT-Sourced": 38.04,
+          "GPT-Inspired": 28.7,
+          "Completely Human": 35.17
+        },
+        "By Subject": {
+          "Computer Science": 32.54,
+          "Economics": 34.06,
+          "Electrical Engineering and Systems Science": 31.93,
+          "Mathematics": 39.26,
+          "Physics": 39.37,
+          "Quantitative Biology": 30.95,
+          "Quantitative Finance": 28.45,
+          "Statistics": 37.17
+        },
+        "By Year": {
+          "2020": 30.36,
+          "2021": 34.48,
+          "2022": 38.11,
+          "2023": 34.27
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+        "By Subplot": {
+          "1 Subplot": 38.34,
+          "2-4 Subplots": 32.8,
+          "5+ Subplots": 30.08
+        },
+        "N_valid": 1000,
+        "N_invalid": 0,
+        "Question Type": "Reasoning"
+      },
+      "accuracy": 45.27,
+      "acc_stderr": 0,
+      "acc": 45.27
+    },
+    "MathVision": {
+      "accuracy": 15.95,
+      "acc_stderr": 0,
+      "acc": 15.95
+    },
+    "CII-Bench": {
+      "accuracy": 37.65,
+      "domain_score": {
+        "Life": 33.77,
+        "Art": 41.91,
+        "CTC": 31.85,
+        "Society": 37.84,
+        "Env.": 53.7,
+        "Politics": 45.83
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+      "emotion_score": {
+        "Neutral": 38.35,
+        "Negative": 40.0,
+        "Positive": 34.19
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+      "acc_stderr": 0,
+      "acc": 37.65
+    },
+    "Blink": {
+      "accuracy": 61.39,
+      "Art Style": 87.18,
+      "Counting": 59.17,
+      "Forensic Detection": 90.15,
+      "Functional Correspondence": 27.69,
+      "IQ Test": 25.33,
+      "Jigsaw": 67.33,
+      "Multi-view Reasoning": 77.44,
+      "Object Localization": 52.46,
+      "Relative Depth": 70.97,
+      "Relative Reflectance": 31.34,
+      "Semantic Correspondence": 51.8,
+      "Spatial Relation": 72.73,
+      "Visual Correspondence": 67.44,
+      "Visual Similarity": 82.22,
+      "acc_stderr": 0,
+      "acc": 61.39
+    }
+  }
+}

Pixtral-12B-2409/results_2025-01-25T10-42-53.190540.json

@@ -21,9 +21,41 @@
       "acc": 31.5
     },
     "MMMU_Pro_vision": {
-      "accuracy": 57.51,
+      "accuracy": 20.92,
+      "subject_score": {
+        "History": 23.21,
+        "Art": 32.08,
+        "Design": 25.0,
+        "Literature": 57.69,
+        "Agriculture": 13.33,
+        "Finance": 21.67,
+        "Sociology": 27.78,
+        "Accounting": 15.52,
+        "Energy_and_Power": 15.52,
+        "Pharmacy": 28.07,
+        "Architecture_and_Engineering": 13.33,
+        "Clinical_Medicine": 10.17,
+        "Public_Health": 18.97,
+        "Physics": 20.0,
+        "Art_Theory": 29.09,
+        "Electronics": 18.33,
+        "Psychology": 13.33,
+        "Biology": 18.64,
+        "Manage": 14.0,
+        "Economics": 22.03,
+        "Mechanical_Engineering": 13.56,
+        "Diagnostics_and_Laboratory_Medicine": 21.67,
+        "Basic_Medical_Science": 21.15,
+        "Computer_Science": 21.67,
+        "Math": 21.67,
+        "Music": 15.0,
+        "Materials": 13.33,
+        "Marketing": 27.12,
+        "Chemistry": 23.33,
+        "Geography": 17.31
+      },
       "acc_stderr": 0,
-      "acc": 57.51
+      "acc": 20.92
     },
     "MmvetV2": {
       "accuracy": 55.087,
@@ -333,9 +365,9 @@
       "acc": 51.1
     },
     "MathVision": {
-      "accuracy": 21.55,
+      "accuracy": 19.18,
       "acc_stderr": 0,
-      "acc": 21.55
+      "acc": 19.18
     },
     "CII-Bench": {
       "accuracy": 31.63,

Pixtral-Large-Instruct-2411/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,517 @@
+{
+  "config_general": {
+    "model_name": "Pixtral-Large-Instruct-2411",
+    "model_dtype": "float16",
+    "model_size": 0
+  },
+  "results": {
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+        "num": 88,
+        "correct": 57,
+        "accuracy": 64.77
+      },
+      "overall": {
+        "num": 900,
+        "correct": 386,
+        "accuracy": 42.89
+      },
+      "商业": {
+        "num": 126,
+        "correct": 34,
+        "accuracy": 26.98
+      },
+      "科学": {
+        "num": 204,
+        "correct": 75,
+        "accuracy": 36.76
+      },
+      "健康与医学": {
+        "num": 153,
+        "correct": 73,
+        "accuracy": 47.71
+      },
+      "人文社会科学": {
+        "num": 85,
+        "correct": 40,
+        "accuracy": 47.06
+      },
+      "技术与工程": {
+        "num": 244,
+        "correct": 107,
+        "accuracy": 43.85
+      },
+      "accuracy": 42.89,
+      "acc_stderr": 0,
+      "acc": 42.89
+    },
+    "MMMU": {
+      "accuracy": 54.22,
+      "subject_score": {
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+        "Agriculture": 60.0,
+        "Architecture": 40.0,
+        "Art": 81.67,
+        "Basic": 70.0,
+        "Biology": 43.33,
+        "Chemistry": 30.0,
+        "Clinical": 66.67,
+        "Computer": 50.0,
+        "Design": 76.67,
+        "Diagnostics": 46.67,
+        "Economics": 56.67,
+        "Electronics": 40.0,
+        "Energy": 43.33,
+        "Finance": 36.67,
+        "Geography": 60.0,
+        "History": 66.67,
+        "Literature": 83.33,
+        "Manage": 63.33,
+        "Marketing": 50.0,
+        "Materials": 43.33,
+        "Math": 36.67,
+        "Mechanical": 30.0,
+        "Music": 36.67,
+        "Pharmacy": 50.0,
+        "Physics": 50.0,
+        "Psychology": 66.67,
+        "Public": 70.0,
+        "Sociology": 66.67
+      },
+      "difficulty_score": {
+        "Medium": 53.77,
+        "Easy": 64.41,
+        "Hard": 38.67
+      },
+      "acc_stderr": 0,
+      "acc": 54.22
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+    "MMMU_Pro_standard": {
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+      "subject_score": {
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+        "Design": 61.67,
+        "History": 50.0,
+        "Sociology": 50.0,
+        "Agriculture": 35.0,
+        "Art": 58.49,
+        "Energy_and_Power": 22.41,
+        "Pharmacy": 38.6,
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+        "Physics": 30.0,
+        "Electronics": 35.0,
+        "Public_Health": 43.1,
+        "Art_Theory": 65.45,
+        "Manage": 38.0,
+        "Economics": 37.29,
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+        "Computer_Science": 38.33,
+        "Math": 28.33,
+        "Psychology": 38.33,
+        "Biology": 32.2,
+        "Materials": 20.0,
+        "Music": 25.0,
+        "Marketing": 32.2,
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Qwen-VL-Max-20250402/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,762 @@
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+}

Qwen-VL-Max/results_2025-01-25T10-42-53.190540.json

@@ -36,9 +36,41 @@
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@@ -379,9 +411,9 @@
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     "CII-Bench": {
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Qwen2-VL-2B-Instruct/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,410 @@
+{
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+      "Spatial Relation": 69.93,
+      "Visual Correspondence": 28.49,
+      "Visual Similarity": 55.56,
+      "acc_stderr": 0,
+      "acc": 40.45
+    }
+  }
+}

Qwen2-VL-72B-Instruct/results_2025-01-25T10-42-53.190540.json

@@ -26,9 +26,41 @@
         "reject_number": 4,
         "total_question": 1730
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-      "accuracy": 34.41,
+      "accuracy": 34.47,
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+        "Finance": 22.03,
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+        "Accounting": 19.3,
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+        "Psychology": 33.33,
+        "Electronics": 45.0,
+        "Physics": 26.67,
+        "Manage": 28.0,
+        "Biology": 25.42,
+        "Mechanical_Engineering": 33.9,
+        "Economics": 32.2,
+        "Basic_Medical_Science": 36.54,
+        "Diagnostics_and_Laboratory_Medicine": 31.67,
+        "Computer_Science": 38.33,
+        "Math": 26.67,
+        "Music": 30.0,
+        "Materials": 23.33,
+        "Marketing": 37.29,
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       "acc_stderr": 0,
-      "acc": 34.41
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     "MmvetV2": {
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@@ -337,9 +369,9 @@
       "acc": 60.06
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       "acc_stderr": 0,
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+      "acc": 26.15
     },
     "CII-Bench": {
       "accuracy": 67.84,

Qwen2-VL-7B-Instruct/results_2025-01-25T10-42-53.190540.json

@@ -21,9 +21,41 @@
       "acc": 33.93
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     "MMMU_Pro_vision": {
-      "accuracy": 17.69,
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@@ -334,9 +366,9 @@
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Qwen2.5-VL-32B-Instruct/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,717 @@
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+}

Qwen2.5-VL-72B-Instruct/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,723 @@
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+}

Qwen2.5-VL-7B-Instruct/results_2025-01-25T10-42-53.190540.json

@@ -0,0 +1,722 @@
+{
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+}

Step-1V-32k/results_2025-01-25T10-42-53.190540.json

@@ -58,9 +58,41 @@
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       "reject_info": {
@@ -386,9 +418,9 @@
       "acc": 51.35
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