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	0.706 ms	0 - 40 MB	NPU
SINet	ONNX	float	Snapdragon® 8 Elite Mobile	0.855 ms	0 - 30 MB	NPU
SINet	ONNX	float	Snapdragon® X2 Elite	0.766 ms	0 - 0 MB	NPU
SINet	ONNX	float	Snapdragon® X Elite	1.927 ms	2 - 2 MB	NPU
SINet	ONNX	float	Snapdragon® X Elite	1.927 ms	2 - 2 MB	NPU
SINet	ONNX	float	Snapdragon® 8 Gen 3 Mobile	1.109 ms	0 - 46 MB	NPU
SINet	ONNX	float	Qualcomm® QCS8550 (Proxy)	1.692 ms	1 - 3 MB	NPU
SINet	ONNX	float	Qualcomm® QCS9075	2.136 ms	2 - 5 MB	NPU
SINet	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	0.855 ms	0 - 30 MB	NPU
SINet	ONNX	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	0.891 ms	0 - 46 MB	NPU
SINet	ONNX	w8a16	Snapdragon® 8 Elite Mobile	1.038 ms	0 - 46 MB	NPU
SINet	ONNX	w8a16	Snapdragon® X2 Elite	1.348 ms	0 - 0 MB	NPU
SINet	ONNX	w8a16	Snapdragon® X Elite	2.247 ms	1 - 1 MB	NPU
SINet	ONNX	w8a16	Snapdragon® X Elite	2.247 ms	1 - 1 MB	NPU
SINet	ONNX	w8a16	Snapdragon® 8 Gen 3 Mobile	1.307 ms	0 - 53 MB	NPU
SINet	ONNX	w8a16	Qualcomm® QCS6490	50.956 ms	12 - 15 MB	CPU
SINet	ONNX	w8a16	Qualcomm® QCS8550 (Proxy)	1.962 ms	0 - 4 MB	NPU
SINet	ONNX	w8a16	Qualcomm® QCS9075	2.243 ms	0 - 3 MB	NPU
SINet	ONNX	w8a16	Qualcomm® QCM6690	19.873 ms	21 - 30 MB	CPU
SINet	ONNX	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	1.038 ms	0 - 46 MB	NPU
SINet	ONNX	w8a16	Snapdragon® 7 Gen 4 Mobile	13.709 ms	20 - 29 MB	CPU
SINet	ONNX	w8a16	Snapdragon® 7 Gen 4 Mobile	13.709 ms	20 - 29 MB	CPU
SINet	ONNX	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	3.391 ms	0 - 37 MB	NPU
SINet	ONNX	w8a8	Snapdragon® 8 Elite Mobile	3.432 ms	0 - 35 MB	NPU
SINet	ONNX	w8a8	Snapdragon® X2 Elite	3.414 ms	7 - 7 MB	NPU
SINet	ONNX	w8a8	Snapdragon® X Elite	43.853 ms	7 - 7 MB	NPU
SINet	ONNX	w8a8	Snapdragon® X Elite	43.853 ms	7 - 7 MB	NPU
SINet	ONNX	w8a8	Snapdragon® 8 Gen 3 Mobile	4.169 ms	6 - 60 MB	NPU
SINet	ONNX	w8a8	Qualcomm® QCS6490	38.056 ms	7 - 11 MB	CPU
SINet	ONNX	w8a8	Qualcomm® QCM6690	15.676 ms	7 - 15 MB	CPU
SINet	ONNX	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	3.432 ms	0 - 35 MB	NPU
SINet	ONNX	w8a8	Snapdragon® 7 Gen 4 Mobile	11.255 ms	7 - 16 MB	CPU
SINet	ONNX	w8a8	Snapdragon® 7 Gen 4 Mobile	11.255 ms	7 - 16 MB	CPU
SINet	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	1.122 ms	1 - 39 MB	NPU
SINet	QNN_DLC	float	Snapdragon® 8 Elite Mobile	1.806 ms	1 - 37 MB	NPU
SINet	QNN_DLC	float	Snapdragon® X2 Elite	1.397 ms	1 - 1 MB	NPU
SINet	QNN_DLC	float	Snapdragon® X Elite	3.8 ms	1 - 1 MB	NPU
SINet	QNN_DLC	float	Snapdragon® X Elite	3.8 ms	1 - 1 MB	NPU
SINet	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	2.108 ms	0 - 47 MB	NPU
SINet	QNN_DLC	float	Qualcomm® QCS8275 (Proxy)	6.627 ms	1 - 34 MB	NPU
SINet	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	3.446 ms	1 - 34 MB	NPU
SINet	QNN_DLC	float	Qualcomm® SA8775P	3.896 ms	1 - 36 MB	NPU
SINet	QNN_DLC	float	Qualcomm® SA8775P	3.896 ms	1 - 36 MB	NPU
SINet	QNN_DLC	float	Qualcomm® SA8775P	3.896 ms	1 - 36 MB	NPU
SINet	QNN_DLC	float	Qualcomm® QCS9075	3.831 ms	3 - 6 MB	NPU
SINet	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	3.746 ms	0 - 52 MB	NPU
SINet	QNN_DLC	float	Qualcomm® SA7255P	6.627 ms	1 - 34 MB	NPU
SINet	QNN_DLC	float	Qualcomm® SA8295P	4.647 ms	1 - 36 MB	NPU
SINet	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	1.806 ms	1 - 37 MB	NPU
SINet	QNN_DLC	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	3.205 ms	0 - 42 MB	NPU
SINet	QNN_DLC	w8a16	Snapdragon® 8 Elite Mobile	3.435 ms	0 - 37 MB	NPU
SINet	QNN_DLC	w8a16	Snapdragon® X2 Elite	3.528 ms	0 - 0 MB	NPU
SINet	QNN_DLC	w8a16	Snapdragon® X Elite	7.1 ms	0 - 0 MB	NPU
SINet	QNN_DLC	w8a16	Snapdragon® X Elite	7.1 ms	0 - 0 MB	NPU
SINet	QNN_DLC	w8a16	Snapdragon® 8 Gen 3 Mobile	4.076 ms	0 - 49 MB	NPU
SINet	QNN_DLC	w8a16	Qualcomm® QCS8275 (Proxy)	10.804 ms	0 - 37 MB	NPU
SINet	QNN_DLC	w8a16	Qualcomm® QCS8550 (Proxy)	6.577 ms	0 - 2 MB	NPU
SINet	QNN_DLC	w8a16	Qualcomm® SA8775P	7.02 ms	0 - 39 MB	NPU
SINet	QNN_DLC	w8a16	Qualcomm® SA8775P	7.02 ms	0 - 39 MB	NPU
SINet	QNN_DLC	w8a16	Qualcomm® SA8775P	7.02 ms	0 - 39 MB	NPU
SINet	QNN_DLC	w8a16	Qualcomm® QCS9075	6.846 ms	0 - 3 MB	NPU
SINet	QNN_DLC	w8a16	Qualcomm® QCS8450 (Proxy)	7.149 ms	0 - 52 MB	NPU
SINet	QNN_DLC	w8a16	Qualcomm® SA7255P	10.804 ms	0 - 37 MB	NPU
SINet	QNN_DLC	w8a16	Qualcomm® SA8295P	8.165 ms	0 - 37 MB	NPU
SINet	QNN_DLC	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	3.435 ms	0 - 37 MB	NPU
SINet	QNN_DLC	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	2.133 ms	0 - 40 MB	NPU
SINet	QNN_DLC	w8a8	Snapdragon® 8 Elite Mobile	2.354 ms	0 - 35 MB	NPU
SINet	QNN_DLC	w8a8	Snapdragon® X2 Elite	2.333 ms	0 - 0 MB	NPU
SINet	QNN_DLC	w8a8	Snapdragon® X Elite	4.888 ms	0 - 0 MB	NPU
SINet	QNN_DLC	w8a8	Snapdragon® X Elite	4.888 ms	0 - 0 MB	NPU
SINet	QNN_DLC	w8a8	Snapdragon® 8 Gen 3 Mobile	3.007 ms	0 - 48 MB	NPU
SINet	QNN_DLC	w8a8	Qualcomm® QCS8275 (Proxy)	8.022 ms	0 - 36 MB	NPU
SINet	QNN_DLC	w8a8	Qualcomm® QCS8550 (Proxy)	4.485 ms	0 - 2 MB	NPU
SINet	QNN_DLC	w8a8	Qualcomm® SA8775P	4.856 ms	0 - 39 MB	NPU
SINet	QNN_DLC	w8a8	Qualcomm® SA8775P	4.856 ms	0 - 39 MB	NPU
SINet	QNN_DLC	w8a8	Qualcomm® SA8775P	4.856 ms	0 - 39 MB	NPU
SINet	QNN_DLC	w8a8	Qualcomm® QCS9075	4.438 ms	0 - 2 MB	NPU
SINet	QNN_DLC	w8a8	Qualcomm® QCS8450 (Proxy)	4.625 ms	0 - 49 MB	NPU
SINet	QNN_DLC	w8a8	Qualcomm® SA7255P	8.022 ms	0 - 36 MB	NPU
SINet	QNN_DLC	w8a8	Qualcomm® SA8295P	5.216 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	1.131 ms	0 - 39 MB	NPU
SINet	TFLITE	float	Snapdragon® 8 Elite Mobile	1.806 ms	0 - 36 MB	NPU
SINet	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	2.112 ms	0 - 45 MB	NPU
SINet	TFLITE	float	Qualcomm® QCS8275 (Proxy)	6.668 ms	1 - 34 MB	NPU
SINet	TFLITE	float	Qualcomm® QCS8550 (Proxy)	3.391 ms	0 - 2 MB	NPU
SINet	TFLITE	float	Qualcomm® SA8775P	3.921 ms	0 - 36 MB	NPU
SINet	TFLITE	float	Qualcomm® SA8775P	3.921 ms	0 - 36 MB	NPU
SINet	TFLITE	float	Qualcomm® SA8775P	3.921 ms	0 - 36 MB	NPU
SINet	TFLITE	float	Qualcomm® QCS9075	3.845 ms	1 - 4 MB	NPU
SINet	TFLITE	float	Qualcomm® QCS8450 (Proxy)	3.79 ms	0 - 50 MB	NPU
SINet	TFLITE	float	Qualcomm® SA7255P	6.668 ms	1 - 34 MB	NPU
SINet	TFLITE	float	Qualcomm® SA8295P	4.66 ms	1 - 35 MB	NPU
SINet	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	1.806 ms	0 - 36 MB	NPU
SINet	TFLITE	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	2.119 ms	0 - 39 MB	NPU
SINet	TFLITE	w8a8	Snapdragon® 8 Elite Mobile	2.378 ms	0 - 34 MB	NPU
SINet	TFLITE	w8a8	Snapdragon® 8 Gen 3 Mobile	2.787 ms	0 - 45 MB	NPU
SINet	TFLITE	w8a8	Qualcomm® QCS6490	27.707 ms	0 - 13 MB	NPU
SINet	TFLITE	w8a8	Qualcomm® QCS8275 (Proxy)	7.489 ms	0 - 35 MB	NPU
SINet	TFLITE	w8a8	Qualcomm® QCS8550 (Proxy)	4.163 ms	0 - 30 MB	NPU
SINet	TFLITE	w8a8	Qualcomm® SA8775P	4.561 ms	0 - 39 MB	NPU
SINet	TFLITE	w8a8	Qualcomm® SA8775P	4.561 ms	0 - 39 MB	NPU
SINet	TFLITE	w8a8	Qualcomm® SA8775P	4.561 ms	0 - 39 MB	NPU
SINet	TFLITE	w8a8	Qualcomm® QCS9075	4.393 ms	0 - 3 MB	NPU
SINet	TFLITE	w8a8	Qualcomm® QCM6690	17.291 ms	0 - 30 MB	NPU
SINet	TFLITE	w8a8	Qualcomm® QCS8450 (Proxy)	4.282 ms	0 - 47 MB	NPU
SINet	TFLITE	w8a8	Qualcomm® SA7255P	7.489 ms	0 - 35 MB	NPU
SINet	TFLITE	w8a8	Qualcomm® SA8295P	5.028 ms	0 - 34 MB	NPU
SINet	TFLITE	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	2.378 ms	0 - 34 MB	NPU
SINet	TFLITE	w8a8	Snapdragon® 7 Gen 4 Mobile	8.575 ms	0 - 30 MB	NPU
SINet	TFLITE	w8a8	Snapdragon® 7 Gen 4 Mobile	8.575 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