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 2.37, ONNX Runtime 1.23.0 | Download |
| ONNX | w8a8 | Universal | QAIRT 2.37, ONNX Runtime 1.23.0 | Download |
| QNN_DLC | float | Universal | QAIRT 2.42 | Download |
| QNN_DLC | w8a8 | Universal | QAIRT 2.42 | Download |
| TFLITE | float | Universal | QAIRT 2.42, TFLite 2.17.0 | Download |
| TFLITE | w8a8 | Universal | QAIRT 2.42, TFLite 2.17.0 | 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® X Elite | 43.753 ms | 63 - 63 MB | NPU |
| FCN-ResNet50 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 32.391 ms | 2 - 314 MB | NPU |
| FCN-ResNet50 | ONNX | float | Qualcomm® QCS8550 (Proxy) | 43.223 ms | 0 - 81 MB | NPU |
| FCN-ResNet50 | ONNX | float | Qualcomm® QCS9075 | 74.573 ms | 3 - 9 MB | NPU |
| FCN-ResNet50 | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 26.542 ms | 1 - 239 MB | NPU |
| FCN-ResNet50 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 20.443 ms | 2 - 255 MB | NPU |
| FCN-ResNet50 | ONNX | w8a8 | Snapdragon® X Elite | 13.859 ms | 32 - 32 MB | NPU |
| FCN-ResNet50 | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 9.935 ms | 0 - 231 MB | NPU |
| FCN-ResNet50 | ONNX | w8a8 | Qualcomm® QCS6490 | 921.792 ms | 67 - 115 MB | CPU |
| FCN-ResNet50 | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 13.896 ms | 0 - 220 MB | NPU |
| FCN-ResNet50 | ONNX | w8a8 | Qualcomm® QCS9075 | 15.973 ms | 1 - 4 MB | NPU |
| FCN-ResNet50 | ONNX | w8a8 | Qualcomm® QCM6690 | 824.792 ms | 76 - 85 MB | CPU |
| FCN-ResNet50 | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 8.414 ms | 1 - 156 MB | NPU |
| FCN-ResNet50 | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 700.625 ms | 71 - 79 MB | CPU |
| FCN-ResNet50 | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 6.998 ms | 1 - 197 MB | NPU |
| FCN-ResNet50 | QNN_DLC | float | Snapdragon® X Elite | 44.072 ms | 3 - 3 MB | NPU |
| FCN-ResNet50 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 33.401 ms | 0 - 382 MB | NPU |
| FCN-ResNet50 | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 272.088 ms | 1 - 305 MB | NPU |
| FCN-ResNet50 | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 44.864 ms | 3 - 6 MB | NPU |
| FCN-ResNet50 | QNN_DLC | float | Qualcomm® SA8775P | 72.053 ms | 1 - 304 MB | NPU |
| FCN-ResNet50 | QNN_DLC | float | Qualcomm® QCS9075 | 78.033 ms | 3 - 8 MB | NPU |
| FCN-ResNet50 | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 84.665 ms | 1 - 276 MB | NPU |
| FCN-ResNet50 | QNN_DLC | float | Qualcomm® SA7255P | 272.088 ms | 1 - 305 MB | NPU |
| FCN-ResNet50 | QNN_DLC | float | Qualcomm® SA8295P | 77.345 ms | 0 - 217 MB | NPU |
| FCN-ResNet50 | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 25.991 ms | 3 - 323 MB | NPU |
| FCN-ResNet50 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 23.219 ms | 3 - 330 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Snapdragon® X Elite | 15.207 ms | 1 - 1 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 11.408 ms | 0 - 266 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 92.892 ms | 1 - 3 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 39.344 ms | 1 - 205 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 15.051 ms | 1 - 3 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® SA8775P | 14.56 ms | 1 - 214 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 16.824 ms | 3 - 5 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 407.762 ms | 1 - 347 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 23.958 ms | 1 - 263 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® SA7255P | 39.344 ms | 1 - 205 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Qualcomm® SA8295P | 21.86 ms | 1 - 209 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 8.765 ms | 1 - 198 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 25.963 ms | 1 - 280 MB | NPU |
| FCN-ResNet50 | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 7.52 ms | 1 - 245 MB | NPU |
| FCN-ResNet50 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 33.035 ms | 0 - 427 MB | NPU |
| FCN-ResNet50 | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 272.13 ms | 0 - 331 MB | NPU |
| FCN-ResNet50 | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 44.874 ms | 0 - 410 MB | NPU |
| FCN-ResNet50 | TFLITE | float | Qualcomm® SA8775P | 72.05 ms | 0 - 333 MB | NPU |
| FCN-ResNet50 | TFLITE | float | Qualcomm® QCS9075 | 77.817 ms | 0 - 71 MB | NPU |
| FCN-ResNet50 | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 84.565 ms | 1 - 319 MB | NPU |
| FCN-ResNet50 | TFLITE | float | Qualcomm® SA7255P | 272.13 ms | 0 - 331 MB | NPU |
| FCN-ResNet50 | TFLITE | float | Qualcomm® SA8295P | 77.444 ms | 0 - 247 MB | NPU |
| FCN-ResNet50 | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 27.043 ms | 0 - 348 MB | NPU |
| FCN-ResNet50 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 20.946 ms | 0 - 356 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 10.969 ms | 0 - 270 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCS6490 | 94.9 ms | 0 - 39 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 38.12 ms | 0 - 204 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 14.445 ms | 0 - 4 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® SA8775P | 14.511 ms | 0 - 207 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCS9075 | 15.341 ms | 0 - 35 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCM6690 | 433.506 ms | 2 - 353 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 23.285 ms | 0 - 269 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® SA7255P | 38.12 ms | 0 - 204 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Qualcomm® SA8295P | 21.104 ms | 0 - 209 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 8.433 ms | 0 - 200 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 26.062 ms | 0 - 281 MB | NPU |
| FCN-ResNet50 | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 7.007 ms | 0 - 244 MB | NPU |
License
- The license for the original implementation of FCN-ResNet50 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.
