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metadata 
library_name: pytorch
license: other
tags:
  - android
pipeline_tag: image-segmentation

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 1.126 ms 1 - 38 MB NPU
SINet QNN_DLC float Snapdragon® X2 Elite 1.44 ms 1 - 1 MB NPU
SINet QNN_DLC float Snapdragon® X Elite 3.805 ms 1 - 1 MB NPU
SINet QNN_DLC float Snapdragon® 8 Gen 3 Mobile 2.101 ms 0 - 46 MB NPU
SINet QNN_DLC float Qualcomm® QCS8275 (Proxy) 6.623 ms 1 - 35 MB NPU
SINet QNN_DLC float Qualcomm® QCS8550 (Proxy) 3.43 ms 1 - 3 MB NPU
SINet QNN_DLC float Qualcomm® SA8775P 3.893 ms 1 - 36 MB NPU
SINet QNN_DLC float Qualcomm® QCS9075 3.83 ms 1 - 4 MB NPU
SINet QNN_DLC float Qualcomm® QCS8450 (Proxy) 3.746 ms 0 - 51 MB NPU
SINet QNN_DLC float Qualcomm® SA7255P 6.623 ms 1 - 35 MB NPU
SINet QNN_DLC float Qualcomm® SA8295P 4.657 ms 0 - 35 MB NPU
SINet QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 1.812 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® X2 Elite 3.543 ms 0 - 0 MB NPU
SINet QNN_DLC w8a16 Snapdragon® X Elite 7.119 ms 0 - 0 MB NPU
SINet QNN_DLC w8a16 Snapdragon® 8 Gen 3 Mobile 4.082 ms 0 - 50 MB NPU
SINet QNN_DLC w8a16 Qualcomm® QCS8275 (Proxy) 10.797 ms 0 - 37 MB NPU
SINet QNN_DLC w8a16 Qualcomm® QCS8550 (Proxy) 6.55 ms 0 - 2 MB NPU
SINet QNN_DLC w8a16 Qualcomm® SA8775P 7.057 ms 0 - 41 MB NPU
SINet QNN_DLC w8a16 Qualcomm® QCS9075 6.851 ms 2 - 4 MB NPU
SINet QNN_DLC w8a16 Qualcomm® QCS8450 (Proxy) 7.187 ms 0 - 52 MB NPU
SINet QNN_DLC w8a16 Qualcomm® SA7255P 10.797 ms 0 - 37 MB NPU
SINet QNN_DLC w8a16 Qualcomm® SA8295P 8.183 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 w8a8 Snapdragon® 8 Elite Gen 5 Mobile 2.135 ms 0 - 40 MB NPU
SINet QNN_DLC w8a8 Snapdragon® X2 Elite 2.353 ms 0 - 0 MB NPU
SINet QNN_DLC w8a8 Snapdragon® X Elite 4.9 ms 0 - 0 MB NPU
SINet QNN_DLC w8a8 Snapdragon® 8 Gen 3 Mobile 3.006 ms 0 - 47 MB NPU
SINet QNN_DLC w8a8 Qualcomm® QCS8275 (Proxy) 8.015 ms 0 - 35 MB NPU
SINet QNN_DLC w8a8 Qualcomm® QCS8550 (Proxy) 4.5 ms 0 - 10 MB NPU
SINet QNN_DLC w8a8 Qualcomm® SA8775P 4.691 ms 0 - 39 MB NPU
SINet QNN_DLC w8a8 Qualcomm® QCS9075 4.438 ms 2 - 4 MB NPU
SINet QNN_DLC w8a8 Qualcomm® QCS8450 (Proxy) 4.633 ms 0 - 49 MB NPU
SINet QNN_DLC w8a8 Qualcomm® SA7255P 8.015 ms 0 - 35 MB NPU
SINet QNN_DLC w8a8 Qualcomm® SA8295P 5.245 ms 0 - 35 MB NPU
SINet QNN_DLC w8a8 Snapdragon® 8 Elite For Galaxy Mobile 2.354 ms 0 - 40 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