Hugging Face's logo

qualcomm
/
SINet

Image Segmentation
PyTorch
android
Model card Files
xet
 Community

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 Snapdragon® 8 Elite For Galaxy Mobile 0.855 ms 0 - 30 MB NPU
SINet ONNX float Qualcomm® QCS9075 2.136 ms 2 - 5 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 Snapdragon® 7 Gen 4 Mobile 13.709 ms 20 - 29 MB CPU
SINet ONNX w8a16 Qualcomm® QCS9075 2.243 ms 0 - 3 MB NPU
SINet ONNX w8a16 Snapdragon® 8 Elite For Galaxy Mobile 1.038 ms 0 - 46 MB NPU
SINet ONNX w8a16 Qualcomm® QCM6690 19.873 ms 21 - 30 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 Snapdragon® 7 Gen 4 Mobile 11.255 ms 7 - 16 MB CPU
SINet ONNX w8a8 Snapdragon® 8 Elite For Galaxy Mobile 3.432 ms 0 - 35 MB NPU
SINet ONNX w8a8 Qualcomm® QCM6690 15.676 ms 7 - 15 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 1.124 ms 1 - 38 MB NPU
SINet QNN_DLC float Snapdragon® 8 Elite Mobile 1.808 ms 0 - 37 MB NPU
SINet QNN_DLC float Snapdragon® X2 Elite 1.422 ms 1 - 1 MB NPU
SINet QNN_DLC float Snapdragon® X Elite 3.821 ms 1 - 1 MB NPU
SINet QNN_DLC float Snapdragon® X Elite 3.821 ms 1 - 1 MB NPU
SINet QNN_DLC float Snapdragon® 8 Gen 3 Mobile 2.109 ms 0 - 47 MB NPU
SINet QNN_DLC float Qualcomm® QCS8550 (Proxy) 3.43 ms 1 - 2 MB NPU
SINet QNN_DLC float Qualcomm® SA8775P 3.927 ms 1 - 36 MB NPU
SINet QNN_DLC float Qualcomm® SA8775P 3.927 ms 1 - 36 MB NPU
SINet QNN_DLC float Qualcomm® SA8775P 3.927 ms 1 - 36 MB NPU
SINet QNN_DLC float Qualcomm® QCS8450 (Proxy) 3.76 ms 0 - 52 MB NPU
SINet QNN_DLC float Qualcomm® SA7255P 6.652 ms 1 - 34 MB NPU
SINet QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 1.808 ms 0 - 37 MB NPU
SINet QNN_DLC float Qualcomm® SA8295P 4.656 ms 0 - 35 MB NPU
SINet QNN_DLC float Qualcomm® QCS9075 3.829 ms 3 - 6 MB NPU
SINet QNN_DLC w8a16 Snapdragon® 8 Elite Gen 5 Mobile 3.2 ms 0 - 42 MB NPU
SINet QNN_DLC w8a16 Snapdragon® 8 Elite Mobile 3.437 ms 0 - 41 MB NPU
SINet QNN_DLC w8a16 Snapdragon® X2 Elite 3.526 ms 0 - 0 MB NPU
SINet QNN_DLC w8a16 Snapdragon® X Elite 7.09 ms 0 - 0 MB NPU
SINet QNN_DLC w8a16 Snapdragon® X Elite 7.09 ms 0 - 0 MB NPU
SINet QNN_DLC w8a16 Snapdragon® 8 Gen 3 Mobile 4.072 ms 0 - 49 MB NPU
SINet QNN_DLC w8a16 Qualcomm® QCS8550 (Proxy) 6.579 ms 0 - 34 MB NPU
SINet QNN_DLC w8a16 Qualcomm® SA8775P 7.052 ms 0 - 40 MB NPU
SINet QNN_DLC w8a16 Qualcomm® SA8775P 7.052 ms 0 - 40 MB NPU
SINet QNN_DLC w8a16 Qualcomm® SA8775P 7.052 ms 0 - 40 MB NPU
SINet QNN_DLC w8a16 Qualcomm® QCS8450 (Proxy) 7.173 ms 0 - 52 MB NPU
SINet QNN_DLC w8a16 Qualcomm® QCS9075 6.825 ms 2 - 5 MB NPU
SINet QNN_DLC w8a16 Qualcomm® SA7255P 10.812 ms 0 - 37 MB NPU
SINet QNN_DLC w8a16 Snapdragon® 8 Elite For Galaxy Mobile 3.437 ms 0 - 41 MB NPU
SINet QNN_DLC w8a16 Qualcomm® SA8295P 8.169 ms 0 - 38 MB NPU
SINet QNN_DLC w8a8 Snapdragon® 8 Elite Gen 5 Mobile 2.137 ms 0 - 40 MB NPU
SINet QNN_DLC w8a8 Snapdragon® 8 Elite Mobile 2.355 ms 0 - 36 MB NPU
SINet QNN_DLC w8a8 Snapdragon® X2 Elite 2.324 ms 0 - 0 MB NPU
SINet QNN_DLC w8a8 Snapdragon® X Elite 4.911 ms 0 - 0 MB NPU
SINet QNN_DLC w8a8 Snapdragon® X Elite 4.911 ms 0 - 0 MB NPU
SINet QNN_DLC w8a8 Snapdragon® 8 Gen 3 Mobile 3.01 ms 0 - 47 MB NPU
SINet QNN_DLC w8a8 Qualcomm® QCS8550 (Proxy) 4.497 ms 0 - 10 MB NPU
SINet QNN_DLC w8a8 Qualcomm® SA8775P 4.838 ms 0 - 39 MB NPU
SINet QNN_DLC w8a8 Qualcomm® SA8775P 4.838 ms 0 - 39 MB NPU
SINet QNN_DLC w8a8 Qualcomm® SA8775P 4.838 ms 0 - 39 MB NPU
SINet QNN_DLC w8a8 Qualcomm® QCS8450 (Proxy) 4.631 ms 0 - 49 MB NPU
SINet QNN_DLC w8a8 Snapdragon® 8 Elite For Galaxy Mobile 2.355 ms 0 - 36 MB NPU
SINet QNN_DLC w8a8 Qualcomm® SA7255P 8.014 ms 0 - 36 MB NPU
SINet QNN_DLC w8a8 Qualcomm® SA8295P 5.22 ms 0 - 35 MB NPU
SINet QNN_DLC w8a8 Qualcomm® QCS9075 4.443 ms 0 - 2 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® 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® QCS8450 (Proxy) 3.79 ms 0 - 50 MB NPU
SINet TFLITE float Qualcomm® SA7255P 6.668 ms 1 - 34 MB NPU
SINet TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 1.806 ms 0 - 36 MB NPU
SINet TFLITE float Qualcomm® SA8295P 4.66 ms 1 - 35 MB NPU
SINet TFLITE float Qualcomm® QCS9075 3.845 ms 1 - 4 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® 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® QCS8450 (Proxy) 4.282 ms 0 - 47 MB NPU
SINet TFLITE w8a8 Snapdragon® 7 Gen 4 Mobile 8.575 ms 0 - 30 MB NPU
SINet TFLITE w8a8 Snapdragon® 8 Elite For Galaxy Mobile 2.378 ms 0 - 34 MB NPU
SINet TFLITE w8a8 Qualcomm® SA7255P 7.489 ms 0 - 35 MB NPU
SINet TFLITE w8a8 Qualcomm® QCM6690 17.291 ms 0 - 30 MB NPU
SINet TFLITE w8a8 Qualcomm® SA8295P 5.028 ms 0 - 34 MB NPU
SINet TFLITE w8a8 Qualcomm® QCS9075 4.393 ms 0 - 3 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

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
Image Segmentation
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Paper for qualcomm/SINet