U2Net-Segmentation: Optimized for Qualcomm Devices
U2-Net is a machine learning model for salient object detection and foreground extraction. It uses a two-level nested U-structure (RSU blocks) to capture both local and global context at multiple scales, producing high-quality binary foreground masks. The model is trained on the DUTS dataset and is well-suited for background removal, portrait segmentation, and object extraction on mobile and edge devices.
This is based on the implementation of U2Net-Segmentation 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 | w8a8 | Universal | QAIRT 2.50, ONNX Runtime 1.30.0 | Download |
| QNN_DLC | float | Universal | QAIRT 2.50 | Download |
| QNN_DLC | w8a8 | Universal | QAIRT 2.50 | Download |
| TFLITE | float | Universal | QAIRT 2.50 | Download |
| TFLITE | w8a8 | Universal | QAIRT 2.50 | Download |
For more device-specific assets and performance metrics, visit U2Net-Segmentation 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 U2Net-Segmentation on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.semantic_segmentation
Model Stats:
- Input resolution: 320x320
- Model checkpoint: u2net.pth
- Number of output classes: 1 (salient foreground mask)
- Number of parameters: 44.0M
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| U2Net-Segmentation | ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 7.344 ms | 0 - 193 MB | NPU |
| U2Net-Segmentation | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 9.486 ms | 2 - 193 MB | NPU |
| U2Net-Segmentation | ONNX | float | Snapdragon® X2 Elite | 8.186 ms | 1 - 1 MB | NPU |
| U2Net-Segmentation | ONNX | float | Snapdragon® X Elite | 17.587 ms | 86 - 86 MB | NPU |
| U2Net-Segmentation | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 28.489 ms | 0 - 247 MB | NPU |
| U2Net-Segmentation | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 30.342 ms | 1 - 6 MB | NPU |
| U2Net-Segmentation | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 17.31 ms | 0 - 432 MB | NPU |
| U2Net-Segmentation | ONNX | float | Qualcomm® QCS8450 | 28.489 ms | 0 - 247 MB | NPU |
| U2Net-Segmentation | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 28.636 ms | 1 - 6 MB | NPU |
| U2Net-Segmentation | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 17.587 ms | 86 - 86 MB | NPU |
| U2Net-Segmentation | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 9.486 ms | 2 - 193 MB | NPU |
| U2Net-Segmentation | ONNX | float | Snapdragon® 8 Elite Extreme Gen 6 Mobile | 6.329 ms | 2 - 192 MB | NPU |
| U2Net-Segmentation | ONNX | float | Snapdragon® 8 Elite Gen 6 Mobile | 7.987 ms | 2 - 194 MB | NPU |
| U2Net-Segmentation | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 3.013 ms | 0 - 204 MB | NPU |
| U2Net-Segmentation | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 3.664 ms | 0 - 197 MB | NPU |
| U2Net-Segmentation | ONNX | w8a8 | Snapdragon® X2 Elite | 3.038 ms | 1 - 1 MB | NPU |
| U2Net-Segmentation | ONNX | w8a8 | Snapdragon® X Elite | 6.735 ms | 44 - 44 MB | NPU |
| U2Net-Segmentation | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 8.142 ms | 0 - 287 MB | NPU |
| U2Net-Segmentation | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 28.686 ms | 0 - 4 MB | NPU |
| U2Net-Segmentation | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 6.745 ms | 0 - 5 MB | NPU |
| U2Net-Segmentation | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 6.6 ms | 0 - 50 MB | NPU |
| U2Net-Segmentation | ONNX | w8a8 | Qualcomm® QCS8450 | 8.142 ms | 0 - 287 MB | NPU |
| U2Net-Segmentation | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 6.633 ms | 0 - 4 MB | NPU |
| U2Net-Segmentation | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 6.735 ms | 44 - 44 MB | NPU |
| U2Net-Segmentation | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 103.558 ms | 1 - 239 MB | NPU |
| U2Net-Segmentation | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 10.048 ms | 0 - 235 MB | NPU |
| U2Net-Segmentation | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 3.664 ms | 0 - 197 MB | NPU |
| U2Net-Segmentation | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 10.048 ms | 0 - 235 MB | NPU |
| U2Net-Segmentation | ONNX | w8a8 | Snapdragon® 8 Elite Extreme Gen 6 Mobile | 2.542 ms | 0 - 201 MB | NPU |
| U2Net-Segmentation | ONNX | w8a8 | Snapdragon® 8 Elite Gen 6 Mobile | 3.007 ms | 0 - 233 MB | NPU |
| U2Net-Segmentation | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 8.339 ms | 1 - 184 MB | NPU |
| U2Net-Segmentation | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 10.844 ms | 1 - 182 MB | NPU |
| U2Net-Segmentation | QNN_DLC | float | Snapdragon® X2 Elite | 9.668 ms | 1 - 1 MB | NPU |
| U2Net-Segmentation | QNN_DLC | float | Snapdragon® X Elite | 20.574 ms | 1 - 1 MB | NPU |
| U2Net-Segmentation | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 30.94 ms | 1 - 235 MB | NPU |
| U2Net-Segmentation | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 31.916 ms | 1 - 6 MB | NPU |
| U2Net-Segmentation | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 19.855 ms | 1 - 3 MB | NPU |
| U2Net-Segmentation | QNN_DLC | float | Qualcomm® QCS8450 | 30.94 ms | 1 - 235 MB | NPU |
| U2Net-Segmentation | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 30.684 ms | 1 - 5 MB | NPU |
| U2Net-Segmentation | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 20.574 ms | 1 - 1 MB | NPU |
| U2Net-Segmentation | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 10.844 ms | 1 - 182 MB | NPU |
| U2Net-Segmentation | QNN_DLC | float | Qualcomm® SA8295P | 32.736 ms | 1 - 180 MB | NPU |
| U2Net-Segmentation | QNN_DLC | float | Snapdragon® 8 Elite Extreme Gen 6 Mobile | 7.08 ms | 1 - 182 MB | NPU |
| U2Net-Segmentation | QNN_DLC | float | Snapdragon® 8 Elite Gen 6 Mobile | 8.969 ms | 1 - 185 MB | NPU |
| U2Net-Segmentation | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 3.091 ms | 0 - 187 MB | NPU |
| U2Net-Segmentation | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 3.908 ms | 0 - 184 MB | NPU |
| U2Net-Segmentation | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 3.501 ms | 0 - 0 MB | NPU |
| U2Net-Segmentation | QNN_DLC | w8a8 | Snapdragon® X Elite | 7.473 ms | 0 - 0 MB | NPU |
| U2Net-Segmentation | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 8.777 ms | 0 - 267 MB | NPU |
| U2Net-Segmentation | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 30.537 ms | 0 - 3 MB | NPU |
| U2Net-Segmentation | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 7.138 ms | 0 - 3 MB | NPU |
| U2Net-Segmentation | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 7.035 ms | 0 - 2 MB | NPU |
| U2Net-Segmentation | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 8.777 ms | 0 - 267 MB | NPU |
| U2Net-Segmentation | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 7.179 ms | 2 - 5 MB | NPU |
| U2Net-Segmentation | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 7.473 ms | 0 - 0 MB | NPU |
| U2Net-Segmentation | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 106.917 ms | 0 - 224 MB | NPU |
| U2Net-Segmentation | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 10.524 ms | 0 - 222 MB | NPU |
| U2Net-Segmentation | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 3.908 ms | 0 - 184 MB | NPU |
| U2Net-Segmentation | QNN_DLC | w8a8 | Qualcomm® SA7255P | 18.541 ms | 0 - 181 MB | NPU |
| U2Net-Segmentation | QNN_DLC | w8a8 | Qualcomm® SA8295P | 10.962 ms | 0 - 186 MB | NPU |
| U2Net-Segmentation | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 10.524 ms | 0 - 222 MB | NPU |
| U2Net-Segmentation | QNN_DLC | w8a8 | Snapdragon® 8 Elite Extreme Gen 6 Mobile | 2.587 ms | 0 - 187 MB | NPU |
| U2Net-Segmentation | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 6 Mobile | 3.221 ms | 0 - 219 MB | NPU |
| U2Net-Segmentation | TFLITE | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 8.34 ms | 0 - 186 MB | NPU |
| U2Net-Segmentation | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 10.846 ms | 0 - 187 MB | NPU |
| U2Net-Segmentation | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 30.775 ms | 1 - 311 MB | NPU |
| U2Net-Segmentation | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 31.843 ms | 0 - 91 MB | NPU |
| U2Net-Segmentation | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 20.097 ms | 0 - 3 MB | NPU |
| U2Net-Segmentation | TFLITE | float | Qualcomm® SA8775P | 30.386 ms | 1 - 183 MB | NPU |
| U2Net-Segmentation | TFLITE | float | Qualcomm® SA8650P | 30.386 ms | 1 - 183 MB | NPU |
| U2Net-Segmentation | TFLITE | float | Qualcomm® SA8255P | 30.386 ms | 1 - 183 MB | NPU |
| U2Net-Segmentation | TFLITE | float | Qualcomm® QCS8450 | 30.775 ms | 1 - 311 MB | NPU |
| U2Net-Segmentation | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 30.238 ms | 0 - 90 MB | NPU |
| U2Net-Segmentation | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 10.846 ms | 0 - 187 MB | NPU |
| U2Net-Segmentation | TFLITE | float | Qualcomm® SA7255P | 105.055 ms | 1 - 181 MB | NPU |
| U2Net-Segmentation | TFLITE | float | Qualcomm® SA8295P | 32.742 ms | 1 - 187 MB | NPU |
| U2Net-Segmentation | TFLITE | float | Snapdragon® 8 Elite Extreme Gen 6 Mobile | 7.072 ms | 0 - 189 MB | NPU |
| U2Net-Segmentation | TFLITE | float | Snapdragon® 8 Elite Gen 6 Mobile | 8.978 ms | 0 - 188 MB | NPU |
| U2Net-Segmentation | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 2.766 ms | 0 - 188 MB | NPU |
| U2Net-Segmentation | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 3.485 ms | 0 - 183 MB | NPU |
| U2Net-Segmentation | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 8.131 ms | 0 - 268 MB | NPU |
| U2Net-Segmentation | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 33.338 ms | 1 - 56 MB | NPU |
| U2Net-Segmentation | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 6.531 ms | 0 - 47 MB | NPU |
| U2Net-Segmentation | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 6.247 ms | 0 - 3 MB | NPU |
| U2Net-Segmentation | TFLITE | w8a8 | Qualcomm® SA8775P | 6.674 ms | 0 - 182 MB | NPU |
| U2Net-Segmentation | TFLITE | w8a8 | Qualcomm® SA8650P | 6.674 ms | 0 - 182 MB | NPU |
| U2Net-Segmentation | TFLITE | w8a8 | Qualcomm® SA8255P | 6.674 ms | 0 - 182 MB | NPU |
| U2Net-Segmentation | TFLITE | w8a8 | Qualcomm® QCS8450 | 8.131 ms | 0 - 268 MB | NPU |
| U2Net-Segmentation | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 6.49 ms | 0 - 46 MB | NPU |
| U2Net-Segmentation | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 102.05 ms | 1 - 223 MB | NPU |
| U2Net-Segmentation | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 11.541 ms | 1 - 219 MB | NPU |
| U2Net-Segmentation | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 3.485 ms | 0 - 183 MB | NPU |
| U2Net-Segmentation | TFLITE | w8a8 | Qualcomm® SA7255P | 17.147 ms | 0 - 180 MB | NPU |
| U2Net-Segmentation | TFLITE | w8a8 | Qualcomm® SA8295P | 10.18 ms | 0 - 185 MB | NPU |
| U2Net-Segmentation | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 11.541 ms | 1 - 219 MB | NPU |
| U2Net-Segmentation | TFLITE | w8a8 | Snapdragon® 8 Elite Extreme Gen 6 Mobile | 2.325 ms | 0 - 187 MB | NPU |
| U2Net-Segmentation | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 6 Mobile | 2.859 ms | 0 - 219 MB | NPU |
License
- The license for the original implementation of U2Net-Segmentation can be found here.
References
- U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection
- 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.
