Unet-Segmentation: Optimized for Qualcomm Devices
UNet is a machine learning model that produces a segmentation mask for an image. The most basic use case will label each pixel in the image as being in the foreground or the background. More advanced usage will assign a class label to each pixel. This version of the model was trained on the data from Kaggle's Carvana Image Masking Challenge (see https://www.kaggle.com/c/carvana-image-masking-challenge) and is used for vehicle segmentation.
This is based on the implementation of Unet-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 2.45, ONNX Runtime 1.27.1 | Download |
| ONNX | w8a8 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | Download |
| QNN_DLC | float | 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 Unet-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 Unet-Segmentation on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.semantic_segmentation
Model Stats:
- Input resolution: 640x1280
- Model checkpoint: unet_carvana_scale1.0_epoch2
- Model size (float): 118 MB
- Model size (w8a8): 29.8 MB
- Number of output classes: 2 (foreground / background)
- Number of parameters: 31.0M
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| Unet-Segmentation | ONNX | float | Snapdragon® X2 Elite | 74.864 ms | 17 - 17 MB | NPU |
| Unet-Segmentation | ONNX | float | Snapdragon® X Elite | 142.616 ms | 54 - 54 MB | NPU |
| Unet-Segmentation | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 113.914 ms | 2 - 523 MB | NPU |
| Unet-Segmentation | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 329.318 ms | 1 - 549 MB | NPU |
| Unet-Segmentation | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 286.177 ms | 9 - 22 MB | NPU |
| Unet-Segmentation | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 154.1 ms | 0 - 56 MB | NPU |
| Unet-Segmentation | ONNX | float | Qualcomm® QCS8450 | 329.318 ms | 1 - 549 MB | NPU |
| Unet-Segmentation | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 250.143 ms | 9 - 22 MB | NPU |
| Unet-Segmentation | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 142.616 ms | 54 - 54 MB | NPU |
| Unet-Segmentation | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 91.494 ms | 14 - 334 MB | NPU |
| Unet-Segmentation | ONNX | float | Snapdragon® 8 Elite Mobile | 91.494 ms | 14 - 334 MB | NPU |
| Unet-Segmentation | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 67.754 ms | 16 - 345 MB | NPU |
| Unet-Segmentation | ONNX | w8a8 | Snapdragon® X2 Elite | 18.817 ms | 4 - 4 MB | NPU |
| Unet-Segmentation | ONNX | w8a8 | Snapdragon® X Elite | 37.721 ms | 29 - 29 MB | NPU |
| Unet-Segmentation | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 30.3 ms | 6 - 339 MB | NPU |
| Unet-Segmentation | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 66.487 ms | 6 - 341 MB | NPU |
| Unet-Segmentation | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 299.506 ms | 3 - 8 MB | NPU |
| Unet-Segmentation | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 40.791 ms | 4 - 7 MB | NPU |
| Unet-Segmentation | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 38.194 ms | 0 - 32 MB | NPU |
| Unet-Segmentation | ONNX | w8a8 | Qualcomm® QCS8450 | 66.487 ms | 6 - 341 MB | NPU |
| Unet-Segmentation | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 35.942 ms | 4 - 7 MB | NPU |
| Unet-Segmentation | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 37.721 ms | 29 - 29 MB | NPU |
| Unet-Segmentation | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 1180.481 ms | 0 - 539 MB | NPU |
| Unet-Segmentation | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 81.721 ms | 6 - 279 MB | NPU |
| Unet-Segmentation | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 24.452 ms | 3 - 189 MB | NPU |
| Unet-Segmentation | ONNX | w8a8 | Snapdragon® 8 Elite Mobile | 24.452 ms | 3 - 189 MB | NPU |
| Unet-Segmentation | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 16.691 ms | 3 - 191 MB | NPU |
| Unet-Segmentation | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 81.721 ms | 6 - 279 MB | NPU |
| Unet-Segmentation | QNN_DLC | float | Snapdragon® X2 Elite | 71.892 ms | 9 - 9 MB | NPU |
| Unet-Segmentation | QNN_DLC | float | Snapdragon® X Elite | 132.372 ms | 9 - 9 MB | NPU |
| Unet-Segmentation | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 101.671 ms | 9 - 523 MB | NPU |
| Unet-Segmentation | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 293.677 ms | 9 - 545 MB | NPU |
| Unet-Segmentation | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 273.715 ms | 9 - 27 MB | NPU |
| Unet-Segmentation | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 954.506 ms | 0 - 323 MB | NPU |
| Unet-Segmentation | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 139.982 ms | 9 - 798 MB | NPU |
| Unet-Segmentation | QNN_DLC | float | Qualcomm® SA8775P | 240.406 ms | 0 - 324 MB | NPU |
| Unet-Segmentation | QNN_DLC | float | Qualcomm® SA8650P | 240.406 ms | 0 - 324 MB | NPU |
| Unet-Segmentation | QNN_DLC | float | Qualcomm® SA8255P | 240.406 ms | 0 - 324 MB | NPU |
| Unet-Segmentation | QNN_DLC | float | Qualcomm® QCS8450 | 293.677 ms | 9 - 545 MB | NPU |
| Unet-Segmentation | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 238.779 ms | 9 - 27 MB | NPU |
| Unet-Segmentation | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 132.372 ms | 9 - 9 MB | NPU |
| Unet-Segmentation | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 82.938 ms | 9 - 340 MB | NPU |
| Unet-Segmentation | QNN_DLC | float | Qualcomm® SA7255P | 954.506 ms | 0 - 323 MB | NPU |
| Unet-Segmentation | QNN_DLC | float | Qualcomm® SA8295P | 274.445 ms | 0 - 323 MB | NPU |
| Unet-Segmentation | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 82.938 ms | 9 - 340 MB | NPU |
| Unet-Segmentation | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 62.092 ms | 9 - 356 MB | NPU |
| Unet-Segmentation | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 18.849 ms | 2 - 2 MB | NPU |
| Unet-Segmentation | QNN_DLC | w8a8 | Snapdragon® X Elite | 35.788 ms | 2 - 2 MB | NPU |
| Unet-Segmentation | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 26.232 ms | 2 - 320 MB | NPU |
| Unet-Segmentation | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 59.234 ms | 2 - 318 MB | NPU |
| Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 288.685 ms | 2 - 8 MB | NPU |
| Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 37.375 ms | 2 - 9 MB | NPU |
| Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 121.501 ms | 1 - 180 MB | NPU |
| Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 34.674 ms | 2 - 4 MB | NPU |
| Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® SA8775P | 32.153 ms | 0 - 180 MB | NPU |
| Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® SA8650P | 32.153 ms | 0 - 180 MB | NPU |
| Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® SA8255P | 32.153 ms | 0 - 180 MB | NPU |
| Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 59.234 ms | 2 - 318 MB | NPU |
| Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 32.918 ms | 2 - 7 MB | NPU |
| Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 35.788 ms | 2 - 2 MB | NPU |
| Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 1220.752 ms | 2 - 524 MB | NPU |
| Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 79.02 ms | 2 - 267 MB | NPU |
| Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 21.814 ms | 2 - 188 MB | NPU |
| Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® SA7255P | 121.501 ms | 1 - 180 MB | NPU |
| Unet-Segmentation | QNN_DLC | w8a8 | Qualcomm® SA8295P | 63.741 ms | 2 - 182 MB | NPU |
| Unet-Segmentation | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 21.814 ms | 2 - 188 MB | NPU |
| Unet-Segmentation | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 16.062 ms | 2 - 200 MB | NPU |
| Unet-Segmentation | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 79.02 ms | 2 - 267 MB | NPU |
| Unet-Segmentation | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 105.529 ms | 5 - 578 MB | NPU |
| Unet-Segmentation | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 291.085 ms | 7 - 590 MB | NPU |
| Unet-Segmentation | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 274.112 ms | 0 - 81 MB | NPU |
| Unet-Segmentation | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 953.338 ms | 0 - 324 MB | NPU |
| Unet-Segmentation | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 144.959 ms | 7 - 218 MB | NPU |
| Unet-Segmentation | TFLITE | float | Qualcomm® SA8775P | 240.498 ms | 11 - 335 MB | NPU |
| Unet-Segmentation | TFLITE | float | Qualcomm® SA8650P | 240.498 ms | 11 - 335 MB | NPU |
| Unet-Segmentation | TFLITE | float | Qualcomm® SA8255P | 240.498 ms | 11 - 335 MB | NPU |
| Unet-Segmentation | TFLITE | float | Qualcomm® QCS8450 | 291.085 ms | 7 - 590 MB | NPU |
| Unet-Segmentation | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 239.338 ms | 0 - 80 MB | NPU |
| Unet-Segmentation | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 82.576 ms | 5 - 337 MB | NPU |
| Unet-Segmentation | TFLITE | float | Qualcomm® SA7255P | 953.338 ms | 0 - 324 MB | NPU |
| Unet-Segmentation | TFLITE | float | Qualcomm® SA8295P | 274.491 ms | 7 - 329 MB | NPU |
| Unet-Segmentation | TFLITE | float | Snapdragon® 8 Elite Mobile | 82.576 ms | 5 - 337 MB | NPU |
| Unet-Segmentation | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 62.625 ms | 6 - 353 MB | NPU |
| Unet-Segmentation | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 26.029 ms | 1 - 318 MB | NPU |
| Unet-Segmentation | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 60.008 ms | 2 - 318 MB | NPU |
| Unet-Segmentation | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 288.425 ms | 1 - 41 MB | NPU |
| Unet-Segmentation | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 37.164 ms | 2 - 39 MB | NPU |
| Unet-Segmentation | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 121.602 ms | 2 - 181 MB | NPU |
| Unet-Segmentation | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 33.858 ms | 2 - 4 MB | NPU |
| Unet-Segmentation | TFLITE | w8a8 | Qualcomm® SA8775P | 32.214 ms | 2 - 180 MB | NPU |
| Unet-Segmentation | TFLITE | w8a8 | Qualcomm® SA8650P | 32.214 ms | 2 - 180 MB | NPU |
| Unet-Segmentation | TFLITE | w8a8 | Qualcomm® SA8255P | 32.214 ms | 2 - 180 MB | NPU |
| Unet-Segmentation | TFLITE | w8a8 | Qualcomm® QCS8450 | 60.008 ms | 2 - 318 MB | NPU |
| Unet-Segmentation | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 33.275 ms | 1 - 38 MB | NPU |
| Unet-Segmentation | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 1249.429 ms | 0 - 522 MB | NPU |
| Unet-Segmentation | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 78.318 ms | 2 - 268 MB | NPU |
| Unet-Segmentation | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 21.934 ms | 1 - 187 MB | NPU |
| Unet-Segmentation | TFLITE | w8a8 | Qualcomm® SA7255P | 121.602 ms | 2 - 181 MB | NPU |
| Unet-Segmentation | TFLITE | w8a8 | Qualcomm® SA8295P | 63.753 ms | 2 - 180 MB | NPU |
| Unet-Segmentation | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 21.934 ms | 1 - 187 MB | NPU |
| Unet-Segmentation | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 16.07 ms | 1 - 196 MB | NPU |
| Unet-Segmentation | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 78.318 ms | 2 - 268 MB | NPU |
License
- The license for the original implementation of Unet-Segmentation can be found here.
References
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.
