SINet: Optimized for Qualcomm Devices

SINet is a machine learning model that is designed to segment people from close-up portrait images in real time.

This is based on the implementation of SINet found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.

Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up to run these models on a hosted Qualcomm® device.

Getting Started

There are two ways to deploy this model on your device:

Option 1: Download Pre-Exported Models

Below are pre-exported model assets ready for deployment.

Runtime	Precision	Chipset	SDK Versions	Download
ONNX	float	Universal	QAIRT 2.42, ONNX Runtime 1.24.3	Download
ONNX	w8a16	Universal	QAIRT 2.42, ONNX Runtime 1.24.3	Download
ONNX	w8a8	Universal	QAIRT 2.42, ONNX Runtime 1.24.3	Download
QNN_DLC	float	Universal	QAIRT 2.45	Download
QNN_DLC	w8a16	Universal	QAIRT 2.45	Download
QNN_DLC	w8a8	Universal	QAIRT 2.45	Download
TFLITE	float	Universal	QAIRT 2.45	Download
TFLITE	w8a8	Universal	QAIRT 2.45	Download

For more device-specific assets and performance metrics, visit SINet on Qualcomm® AI Hub.

Option 2: Export with Custom Configurations

Use the Qualcomm® AI Hub Models Python library to compile and export the model with your own:

Custom weights (e.g., fine-tuned checkpoints)
Custom input shapes
Target device and runtime configurations

This option is ideal if you need to customize the model beyond the default configuration provided here.

See our repository for SINet on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.semantic_segmentation

Model Stats:

Model checkpoint: SINet.pth
Input resolution: 224x224
Number of output classes: 2 (foreground / background)
Number of parameters: 91.9K
Model size (float): 415 KB
Model size (w8a8): 241 KB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
SINet	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	0.708 ms	0 - 40 MB	NPU
SINet	ONNX	float	Snapdragon® X2 Elite	0.769 ms	0 - 0 MB	NPU
SINet	ONNX	float	Snapdragon® X Elite	1.935 ms	2 - 2 MB	NPU
SINet	ONNX	float	Snapdragon® 8 Gen 3 Mobile	1.097 ms	0 - 46 MB	NPU
SINet	ONNX	float	Qualcomm® QCS8550 (Proxy)	1.685 ms	0 - 2 MB	NPU
SINet	ONNX	float	Qualcomm® QCS9075	2.142 ms	2 - 5 MB	NPU
SINet	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	0.853 ms	0 - 29 MB	NPU
SINet	ONNX	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	0.887 ms	0 - 45 MB	NPU
SINet	ONNX	w8a16	Snapdragon® X2 Elite	0.958 ms	0 - 0 MB	NPU
SINet	ONNX	w8a16	Snapdragon® X Elite	2.247 ms	1 - 1 MB	NPU
SINet	ONNX	w8a16	Snapdragon® 8 Gen 3 Mobile	1.309 ms	0 - 53 MB	NPU
SINet	ONNX	w8a16	Qualcomm® QCS6490	53.8 ms	14 - 17 MB	CPU
SINet	ONNX	w8a16	Qualcomm® QCS8550 (Proxy)	1.984 ms	0 - 3 MB	NPU
SINet	ONNX	w8a16	Qualcomm® QCS9075	2.249 ms	0 - 3 MB	NPU
SINet	ONNX	w8a16	Qualcomm® QCM6690	19.606 ms	22 - 29 MB	CPU
SINet	ONNX	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	1.036 ms	0 - 38 MB	NPU
SINet	ONNX	w8a16	Snapdragon® 7 Gen 4 Mobile	13.779 ms	23 - 31 MB	CPU
SINet	ONNX	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	3.356 ms	0 - 37 MB	NPU
SINet	ONNX	w8a8	Snapdragon® X2 Elite	3.342 ms	8 - 8 MB	NPU
SINet	ONNX	w8a8	Snapdragon® X Elite	44.017 ms	7 - 7 MB	NPU
SINet	ONNX	w8a8	Snapdragon® 8 Gen 3 Mobile	4.559 ms	7 - 61 MB	NPU
SINet	ONNX	w8a8	Qualcomm® QCS6490	37.882 ms	7 - 10 MB	CPU
SINet	ONNX	w8a8	Qualcomm® QCM6690	16.09 ms	7 - 16 MB	CPU
SINet	ONNX	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	3.468 ms	0 - 42 MB	NPU
SINet	ONNX	w8a8	Snapdragon® 7 Gen 4 Mobile	11.247 ms	7 - 15 MB	CPU
SINet	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	1.123 ms	1 - 38 MB	NPU
SINet	QNN_DLC	float	Snapdragon® X2 Elite	1.419 ms	1 - 1 MB	NPU
SINet	QNN_DLC	float	Snapdragon® X Elite	3.816 ms	1 - 1 MB	NPU
SINet	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	2.102 ms	0 - 47 MB	NPU
SINet	QNN_DLC	float	Qualcomm® QCS8275 (Proxy)	6.611 ms	1 - 34 MB	NPU
SINet	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	3.433 ms	1 - 4 MB	NPU
SINet	QNN_DLC	float	Qualcomm® SA8775P	3.876 ms	0 - 36 MB	NPU
SINet	QNN_DLC	float	Qualcomm® QCS9075	3.835 ms	1 - 4 MB	NPU
SINet	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	3.757 ms	0 - 52 MB	NPU
SINet	QNN_DLC	float	Qualcomm® SA7255P	6.611 ms	1 - 34 MB	NPU
SINet	QNN_DLC	float	Qualcomm® SA8295P	4.657 ms	6 - 42 MB	NPU
SINet	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	1.8 ms	1 - 33 MB	NPU
SINet	QNN_DLC	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	3.208 ms	0 - 42 MB	NPU
SINet	QNN_DLC	w8a16	Snapdragon® X2 Elite	3.525 ms	0 - 0 MB	NPU
SINet	QNN_DLC	w8a16	Snapdragon® X Elite	7.08 ms	0 - 0 MB	NPU
SINet	QNN_DLC	w8a16	Snapdragon® 8 Gen 3 Mobile	4.06 ms	0 - 50 MB	NPU
SINet	QNN_DLC	w8a16	Qualcomm® QCS8275 (Proxy)	10.778 ms	0 - 37 MB	NPU
SINet	QNN_DLC	w8a16	Qualcomm® QCS8550 (Proxy)	6.58 ms	0 - 36 MB	NPU
SINet	QNN_DLC	w8a16	Qualcomm® SA8775P	7.038 ms	0 - 40 MB	NPU
SINet	QNN_DLC	w8a16	Qualcomm® QCS9075	6.833 ms	0 - 3 MB	NPU
SINet	QNN_DLC	w8a16	Qualcomm® QCS8450 (Proxy)	7.168 ms	0 - 52 MB	NPU
SINet	QNN_DLC	w8a16	Qualcomm® SA7255P	10.778 ms	0 - 37 MB	NPU
SINet	QNN_DLC	w8a16	Qualcomm® SA8295P	8.163 ms	0 - 37 MB	NPU
SINet	QNN_DLC	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	3.435 ms	0 - 38 MB	NPU
SINet	QNN_DLC	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	2.139 ms	0 - 40 MB	NPU
SINet	QNN_DLC	w8a8	Snapdragon® X2 Elite	2.354 ms	0 - 0 MB	NPU
SINet	QNN_DLC	w8a8	Snapdragon® X Elite	4.876 ms	0 - 0 MB	NPU
SINet	QNN_DLC	w8a8	Snapdragon® 8 Gen 3 Mobile	3.003 ms	0 - 47 MB	NPU
SINet	QNN_DLC	w8a8	Qualcomm® QCS8275 (Proxy)	8.024 ms	0 - 36 MB	NPU
SINet	QNN_DLC	w8a8	Qualcomm® QCS8550 (Proxy)	4.497 ms	0 - 2 MB	NPU
SINet	QNN_DLC	w8a8	Qualcomm® SA8775P	4.845 ms	0 - 39 MB	NPU
SINet	QNN_DLC	w8a8	Qualcomm® QCS9075	4.434 ms	2 - 4 MB	NPU
SINet	QNN_DLC	w8a8	Qualcomm® QCS8450 (Proxy)	4.637 ms	0 - 49 MB	NPU
SINet	QNN_DLC	w8a8	Qualcomm® SA7255P	8.024 ms	0 - 36 MB	NPU
SINet	QNN_DLC	w8a8	Qualcomm® SA8295P	5.199 ms	0 - 35 MB	NPU
SINet	QNN_DLC	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	2.354 ms	0 - 35 MB	NPU
SINet	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	0.687 ms	0 - 38 MB	NPU
SINet	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	1.077 ms	0 - 44 MB	NPU
SINet	TFLITE	float	Qualcomm® QCS8275 (Proxy)	3.749 ms	1 - 33 MB	NPU
SINet	TFLITE	float	Qualcomm® QCS8550 (Proxy)	1.628 ms	0 - 2 MB	NPU
SINet	TFLITE	float	Qualcomm® SA8775P	2.101 ms	0 - 35 MB	NPU
SINet	TFLITE	float	Qualcomm® QCS9075	2.076 ms	1 - 4 MB	NPU
SINet	TFLITE	float	Qualcomm® QCS8450 (Proxy)	2.024 ms	0 - 49 MB	NPU
SINet	TFLITE	float	Qualcomm® SA7255P	3.749 ms	1 - 33 MB	NPU
SINet	TFLITE	float	Qualcomm® SA8295P	2.502 ms	0 - 33 MB	NPU
SINet	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	0.817 ms	0 - 34 MB	NPU
SINet	TFLITE	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.632 ms	0 - 40 MB	NPU
SINet	TFLITE	w8a8	Snapdragon® 8 Gen 3 Mobile	1.023 ms	0 - 46 MB	NPU
SINet	TFLITE	w8a8	Qualcomm® QCS6490	22.698 ms	0 - 13 MB	NPU
SINet	TFLITE	w8a8	Qualcomm® QCS8275 (Proxy)	2.931 ms	0 - 35 MB	NPU
SINet	TFLITE	w8a8	Qualcomm® QCS8550 (Proxy)	1.477 ms	0 - 2 MB	NPU
SINet	TFLITE	w8a8	Qualcomm® SA8775P	1.772 ms	0 - 39 MB	NPU
SINet	TFLITE	w8a8	Qualcomm® QCS9075	1.767 ms	0 - 3 MB	NPU
SINet	TFLITE	w8a8	Qualcomm® QCM6690	12.81 ms	0 - 29 MB	NPU
SINet	TFLITE	w8a8	Qualcomm® QCS8450 (Proxy)	1.718 ms	0 - 46 MB	NPU
SINet	TFLITE	w8a8	Qualcomm® SA7255P	2.931 ms	0 - 35 MB	NPU
SINet	TFLITE	w8a8	Qualcomm® SA8295P	2.238 ms	0 - 35 MB	NPU
SINet	TFLITE	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.745 ms	0 - 33 MB	NPU
SINet	TFLITE	w8a8	Snapdragon® 7 Gen 4 Mobile	6.049 ms	0 - 30 MB	NPU

License

The license for the original implementation of SINet can be found here.

References

Community

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Paper for qualcomm/SINet

SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder

Paper • 1911.09099 • Published Nov 20, 2019