FCN-ResNet50: Optimized for Qualcomm Devices
FCN_ResNet50 is a machine learning model that can segment images from the COCO dataset. It uses ResNet50 as a backbone.
This is based on the implementation of FCN-ResNet50 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 1.25.0 | Download |
| ONNX | w8a8 | Universal | QAIRT 2.45, ONNX Runtime 1.25.0 | 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 FCN-ResNet50 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 FCN-ResNet50 on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.semantic_segmentation
Model Stats:
- Model checkpoint: COCO_WITH_VOC_LABELS_V1
- Input resolution: 224x224
- Number of output classes: 21
- Number of parameters: 33.0M
- Model size (float): 126 MB
- Model size (w8a8): 32.2 MB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| FCN-ResNet50 | ONNX | float | Snapdragon® X2 Elite | 22.125 ms | 209 - 209 MB | NPU |
| FCN-ResNet50 | ONNX | float | Snapdragon® X Elite | 43.533 ms | 146 - 146 MB | NPU |
| FCN-ResNet50 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 32.689 ms | 0 - 370 MB | NPU |
| FCN-ResNet50 | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 83.156 ms | 4 - 265 MB | NPU |
| FCN-ResNet50 | ONNX | float | Qualcomm® QCS8550 (Proxy) | 43.4 ms | 3 - 7 MB | NPU |
| FCN-ResNet50 | ONNX | float | Qualcomm® QCS8450 | 83.156 ms | 4 - 265 MB | NPU |
| FCN-ResNet50 | ONNX | float | Snapdragon® 8 Elite Mobile | 26.745 ms | 2 - 310 MB | NPU |
| FCN-ResNet50 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 20.957 ms | 1 - 322 MB | NPU |
| FCN-ResNet50 | ONNX | float | Qualcomm® QCS9075 | 76.114 ms | 3 - 48 MB | NPU |
| FCN-ResNet50 | ONNX | float | Qualcomm® QCS8750 | 26.745 ms | 2 - 310 MB | NPU |
| FCN-ResNet50 | ONNX | float | Qualcomm® QCS7181 | 43.533 ms | 146 - 146 MB | NPU |
| FCN-ResNet50 | ONNX | w8a8 | Snapdragon® X2 Elite | 7.284 ms | 212 - 212 MB | NPU |
| FCN-ResNet50 | ONNX | w8a8 | Snapdragon® X Elite | 13.768 ms | 153 - 153 MB | NPU |
| FCN-ResNet50 | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 10.036 ms | 1 - 267 MB | NPU |
| FCN-ResNet50 | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 20.949 ms | 1 - 262 MB | NPU |
| FCN-ResNet50 | ONNX | w8a8 | Qualcomm® QCS6490 | 92.479 ms | 1 - 47 MB | NPU |
| FCN-ResNet50 | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 13.656 ms | 0 - 54 MB | NPU |
| FCN-ResNet50 | ONNX | w8a8 | Qualcomm® QCS8450 | 20.949 ms | 1 - 262 MB | NPU |
| FCN-ResNet50 | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 7.437 ms | 1 - 248 MB | NPU |
| FCN-ResNet50 | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 25.994 ms | 1 - 279 MB | NPU |
| FCN-ResNet50 | ONNX | w8a8 | Qualcomm® QCM6690 | 412.098 ms | 0 - 380 MB | NPU |
| FCN-ResNet50 | ONNX | w8a8 | Qualcomm® QCS9075 | 15.091 ms | 1 - 47 MB | NPU |
| FCN-ResNet50 | ONNX | w8a8 | Snapdragon® 8 Elite Mobile | 8.757 ms | 0 - 204 MB | NPU |
| FCN-ResNet50 | ONNX | w8a8 | Qualcomm® QCS7790 | 25.994 ms | 1 - 279 MB | NPU |
| FCN-ResNet50 | ONNX | w8a8 | Qualcomm® QCS8750 | 8.757 ms | 0 - 204 MB | NPU |
| FCN-ResNet50 | ONNX | w8a8 | Qualcomm® QCS7181 | 13.768 ms | 153 - 153 MB | NPU |
| FCN-ResNet50 | QNN_DLC | float | Snapdragon® X2 Elite | 22.755 ms | 3 - 3 MB | NPU |
| FCN-ResNet50 | QNN_DLC | float | Snapdragon® X Elite | 44.686 ms | 3 - 3 MB | NPU |
| FCN-ResNet50 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 33.313 ms | 1 - 377 MB | NPU |
| FCN-ResNet50 | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 83.727 ms | 4 - 274 MB | NPU |
| FCN-ResNet50 | QNN_DLC | float | Qualcomm® QCS8275 | 273.613 ms | 1 - 309 MB | NPU |
| FCN-ResNet50 | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 44.404 ms | 3 - 6 MB | NPU |
| FCN-ResNet50 | QNN_DLC | float | Qualcomm® QCS8450 | 83.727 ms | 4 - 274 MB | NPU |
| FCN-ResNet50 | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 26.58 ms | 3 - 324 MB | NPU |
| FCN-ResNet50 | QNN_DLC | float | Qualcomm® SA8295P | 77.798 ms | 1 - 219 MB | NPU |
| FCN-ResNet50 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 21.314 ms | 3 - 337 MB | NPU |
| FCN-ResNet50 | QNN_DLC | float | Qualcomm® SA7255P | 273.613 ms | 1 - 309 MB | NPU |
| FCN-ResNet50 | QNN_DLC | float | Qualcomm® QCS9075 | 78.48 ms | 3 - 8 MB | NPU |
| FCN-ResNet50 | QNN_DLC | float | Qualcomm® QCS8750 | 26.58 ms | 3 - 324 MB | NPU |
| FCN-ResNet50 | QNN_DLC | float | Qualcomm® QCS7181 | 44.686 ms | 3 - 3 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 7.791 ms | 1 - 1 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Snapdragon® X Elite | 15.214 ms | 1 - 1 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 11.283 ms | 1 - 265 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 24.389 ms | 1 - 264 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 93.458 ms | 1 - 3 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS8275 | 39.493 ms | 1 - 207 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 14.868 ms | 1 - 153 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 24.389 ms | 1 - 264 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 7.446 ms | 1 - 248 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 26.055 ms | 1 - 280 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 418.038 ms | 1 - 385 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 17.531 ms | 3 - 5 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® SA7255P | 39.493 ms | 1 - 207 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 8.942 ms | 1 - 202 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® SA8295P | 21.902 ms | 1 - 210 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS7790 | 26.055 ms | 1 - 280 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS8750 | 8.942 ms | 1 - 202 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS7181 | 15.214 ms | 1 - 1 MB | NPU |
| FCN-ResNet50 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 32.916 ms | 0 - 426 MB | NPU |
| FCN-ResNet50 | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 84.005 ms | 1 - 321 MB | NPU |
| FCN-ResNet50 | TFLITE | float | Qualcomm® QCS8275 | 273.522 ms | 1 - 354 MB | NPU |
| FCN-ResNet50 | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 43.898 ms | 0 - 3 MB | NPU |
| FCN-ResNet50 | TFLITE | float | Qualcomm® SA8775P | 2273.537 ms | 20 - 41 MB | CPU |
| FCN-ResNet50 | TFLITE | float | Qualcomm® SA8650P | 2273.537 ms | 20 - 41 MB | CPU |
| FCN-ResNet50 | TFLITE | float | Qualcomm® SA8255P | 2273.537 ms | 20 - 41 MB | CPU |
| FCN-ResNet50 | TFLITE | float | Qualcomm® QCS8450 | 84.005 ms | 1 - 321 MB | NPU |
| FCN-ResNet50 | TFLITE | float | Snapdragon® 8 Elite Mobile | 26.944 ms | 0 - 356 MB | NPU |
| FCN-ResNet50 | TFLITE | float | Qualcomm® SA8295P | 77.801 ms | 0 - 267 MB | NPU |
| FCN-ResNet50 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 20.83 ms | 0 - 373 MB | NPU |
| FCN-ResNet50 | TFLITE | float | Qualcomm® SA7255P | 273.522 ms | 1 - 354 MB | NPU |
| FCN-ResNet50 | TFLITE | float | Qualcomm® QCS9075 | 77.883 ms | 0 - 71 MB | NPU |
| FCN-ResNet50 | TFLITE | float | Qualcomm® QCS8750 | 26.944 ms | 0 - 356 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 11.003 ms | 0 - 267 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 23.133 ms | 0 - 266 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCS6490 | 95.208 ms | 0 - 39 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCS8275 | 38.242 ms | 0 - 207 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 14.291 ms | 0 - 3 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® SA8775P | 550.194 ms | 6 - 30 MB | CPU |
| FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® SA8650P | 550.194 ms | 6 - 30 MB | CPU |
| FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® SA8255P | 550.194 ms | 6 - 30 MB | CPU |
| FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCS8450 | 23.133 ms | 0 - 266 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 7.385 ms | 0 - 246 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 28.01 ms | 0 - 297 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCM6690 | 442.766 ms | 0 - 389 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCS9075 | 15.251 ms | 0 - 35 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® SA7255P | 38.242 ms | 0 - 207 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 8.615 ms | 0 - 198 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® SA8295P | 21.28 ms | 0 - 210 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCS7790 | 28.01 ms | 0 - 297 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCS8750 | 8.615 ms | 0 - 198 MB | NPU |
License
- The license for the original implementation of FCN-ResNet50 can be found here.
References
Community
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- For questions or feedback please reach out to us.
