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 2.50, ONNX Runtime 1.30.0 | Download |
| ONNX | w8a16 | Universal | QAIRT 2.50, ONNX Runtime 1.30.0 | Download |
| ONNX | w8a8 | Universal | QAIRT 2.50, ONNX Runtime 1.30.0 | Download |
| QNN_DLC | float | Universal | QAIRT 2.50 | Download |
| QNN_DLC | w8a16 | Universal | QAIRT 2.50 | Download |
| QNN_DLC | w8a8 | Universal | QAIRT 2.50 | Download |
| TFLITE | float | Universal | QAIRT 2.50 | 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:
- Input resolution: 224x224
- Model checkpoint: SINet.pth
- Model size (float): 415 KB
- Model size (w8a8): 241 KB
- Number of output classes: 2 (foreground / background)
- Number of parameters: 91.9K
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| SINet | ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 1.181 ms | 0 - 44 MB | NPU |
| SINet | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.327 ms | 0 - 38 MB | NPU |
| SINet | ONNX | float | Snapdragon® X2 Elite | 1.258 ms | 2 - 2 MB | NPU |
| SINet | ONNX | float | Snapdragon® X Elite | 2.742 ms | 2 - 2 MB | NPU |
| SINet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.684 ms | 0 - 53 MB | NPU |
| SINet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 2.906 ms | 1 - 60 MB | NPU |
| SINet | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 2.537 ms | 1 - 5 MB | NPU |
| SINet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.6 ms | 0 - 3 MB | NPU |
| SINet | ONNX | float | Qualcomm® QCS8450 | 2.906 ms | 1 - 60 MB | NPU |
| SINet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 2.873 ms | 1 - 5 MB | NPU |
| SINet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 2.742 ms | 2 - 2 MB | NPU |
| SINet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 1.327 ms | 0 - 38 MB | NPU |
| SINet | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 1.272 ms | 0 - 54 MB | NPU |
| SINet | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 1.481 ms | 0 - 56 MB | NPU |
| SINet | ONNX | w8a16 | Snapdragon® X2 Elite | 1.318 ms | 1 - 1 MB | NPU |
| SINet | ONNX | w8a16 | Snapdragon® X Elite | 2.997 ms | 1 - 1 MB | NPU |
| SINet | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.856 ms | 0 - 66 MB | NPU |
| SINet | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 3.504 ms | 0 - 69 MB | NPU |
| SINet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 2.606 ms | 0 - 4 MB | NPU |
| SINet | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.839 ms | 0 - 9 MB | NPU |
| SINet | ONNX | w8a16 | Qualcomm® QCS8450 | 3.504 ms | 0 - 69 MB | NPU |
| SINet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 3.072 ms | 0 - 3 MB | NPU |
| SINet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 2.997 ms | 1 - 1 MB | NPU |
| SINet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 1.481 ms | 0 - 56 MB | NPU |
| SINet | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.865 ms | 0 - 51 MB | NPU |
| SINet | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.98 ms | 0 - 52 MB | NPU |
| SINet | ONNX | w8a8 | Snapdragon® X2 Elite | 0.887 ms | 1 - 1 MB | NPU |
| SINet | ONNX | w8a8 | Snapdragon® X Elite | 1.919 ms | 1 - 1 MB | NPU |
| SINet | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.271 ms | 0 - 63 MB | NPU |
| SINet | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 2.077 ms | 0 - 64 MB | NPU |
| SINet | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 1.833 ms | 0 - 4 MB | NPU |
| SINet | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.836 ms | 0 - 3 MB | NPU |
| SINet | ONNX | w8a8 | Qualcomm® QCS8450 | 2.077 ms | 0 - 64 MB | NPU |
| SINet | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 2.001 ms | 0 - 3 MB | NPU |
| SINet | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 1.919 ms | 1 - 1 MB | NPU |
| SINet | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.98 ms | 0 - 52 MB | NPU |
| SINet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.716 ms | 1 - 39 MB | NPU |
| SINet | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.859 ms | 1 - 40 MB | NPU |
| SINet | QNN_DLC | float | Snapdragon® X2 Elite | 0.989 ms | 1 - 1 MB | NPU |
| SINet | QNN_DLC | float | Snapdragon® X Elite | 1.98 ms | 1 - 1 MB | NPU |
| SINet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.169 ms | 0 - 48 MB | NPU |
| SINet | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 2.163 ms | 1 - 57 MB | NPU |
| SINet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 1.807 ms | 1 - 5 MB | NPU |
| SINet | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.746 ms | 1 - 2 MB | NPU |
| SINet | QNN_DLC | float | Qualcomm® SA8775P | 2.161 ms | 1 - 40 MB | NPU |
| SINet | QNN_DLC | float | Qualcomm® SA8650P | 2.161 ms | 1 - 40 MB | NPU |
| SINet | QNN_DLC | float | Qualcomm® SA8255P | 2.161 ms | 1 - 40 MB | NPU |
| SINet | QNN_DLC | float | Qualcomm® QCS8450 | 2.163 ms | 1 - 57 MB | NPU |
| SINet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 1.998 ms | 1 - 4 MB | NPU |
| SINet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.98 ms | 1 - 1 MB | NPU |
| SINet | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 0.859 ms | 1 - 40 MB | NPU |
| SINet | QNN_DLC | float | Qualcomm® SA7255P | 3.904 ms | 1 - 37 MB | NPU |
| SINet | QNN_DLC | float | Qualcomm® SA8295P | 2.464 ms | 0 - 37 MB | NPU |
| SINet | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.799 ms | 0 - 47 MB | NPU |
| SINet | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.984 ms | 0 - 40 MB | NPU |
| SINet | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 1.063 ms | 0 - 0 MB | NPU |
| SINet | QNN_DLC | w8a16 | Snapdragon® X Elite | 2.177 ms | 0 - 0 MB | NPU |
| SINet | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.312 ms | 0 - 52 MB | NPU |
| SINet | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 2.546 ms | 0 - 58 MB | NPU |
| SINet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 1.85 ms | 0 - 4 MB | NPU |
| SINet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.932 ms | 0 - 24 MB | NPU |
| SINet | QNN_DLC | w8a16 | Qualcomm® SA8775P | 2.285 ms | 0 - 45 MB | NPU |
| SINet | QNN_DLC | w8a16 | Qualcomm® SA8650P | 2.285 ms | 0 - 45 MB | NPU |
| SINet | QNN_DLC | w8a16 | Qualcomm® SA8255P | 2.285 ms | 0 - 45 MB | NPU |
| SINet | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 2.546 ms | 0 - 58 MB | NPU |
| SINet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 2.131 ms | 2 - 5 MB | NPU |
| SINet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 2.177 ms | 0 - 0 MB | NPU |
| SINet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.984 ms | 0 - 40 MB | NPU |
| SINet | QNN_DLC | w8a16 | Qualcomm® SA8295P | 2.989 ms | 0 - 41 MB | NPU |
| SINet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.566 ms | 0 - 41 MB | NPU |
| SINet | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.718 ms | 0 - 38 MB | NPU |
| SINet | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.778 ms | 0 - 0 MB | NPU |
| SINet | QNN_DLC | w8a8 | Snapdragon® X Elite | 1.609 ms | 0 - 0 MB | NPU |
| SINet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.957 ms | 0 - 49 MB | NPU |
| SINet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.619 ms | 0 - 55 MB | NPU |
| SINet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 1.381 ms | 0 - 3 MB | NPU |
| SINet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.395 ms | 0 - 2 MB | NPU |
| SINet | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 1.619 ms | 0 - 55 MB | NPU |
| SINet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 1.535 ms | 0 - 3 MB | NPU |
| SINet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 1.609 ms | 0 - 0 MB | NPU |
| SINet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.718 ms | 0 - 38 MB | NPU |
| SINet | QNN_DLC | w8a8 | Qualcomm® SA8295P | 2.038 ms | 0 - 38 MB | NPU |
| SINet | TFLITE | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.788 ms | 0 - 35 MB | NPU |
| SINet | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.929 ms | 0 - 37 MB | NPU |
| SINet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.222 ms | 0 - 47 MB | NPU |
| SINet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 2.292 ms | 0 - 58 MB | NPU |
| SINet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 2.216 ms | 0 - 6 MB | NPU |
| SINet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.815 ms | 0 - 2 MB | NPU |
| SINet | TFLITE | float | Qualcomm® QCS8450 | 2.292 ms | 0 - 58 MB | NPU |
| SINet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 2.318 ms | 2 - 7 MB | NPU |
| SINet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 0.929 ms | 0 - 37 MB | NPU |
| SINet | TFLITE | float | Qualcomm® SA7255P | 4.498 ms | 2 - 37 MB | NPU |
| SINet | TFLITE | float | Qualcomm® SA8295P | 2.814 ms | 0 - 36 MB | NPU |
License
- The license for the original implementation of SINet can be found here.
References
- SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder
- Source Model Implementation
Community
- Join our AI Hub Slack community to collaborate, post questions and learn more about on-device AI.
- For questions or feedback please reach out to us.
