WideResNet50: Optimized for Qualcomm Devices
WideResNet50 is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in building more complex models for specific use cases.
This is based on the implementation of WideResNet50 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 2.42, ONNX Runtime 1.24.3 | Download |
| ONNX | w8a8 | Universal | QAIRT 2.42, ONNX Runtime 1.24.3 | Download |
| QNN_DLC | float | Universal | QAIRT 2.43 | Download |
| QNN_DLC | w8a8 | Universal | QAIRT 2.43 | Download |
| TFLITE | float | Universal | QAIRT 2.43, TFLite 2.19.1 | Download |
| TFLITE | w8a8 | Universal | QAIRT 2.43, TFLite 2.19.1 | Download |
For more device-specific assets and performance metrics, visit WideResNet50 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 WideResNet50 on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.image_classification
Model Stats:
- Model checkpoint: Imagenet
- Input resolution: 224x224
- Number of parameters: 68.9M
- Model size (float): 263 MB
- Model size (w8a8): 66.6 MB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| WideResNet50 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.639 ms | 1 - 189 MB | NPU |
| WideResNet50 | ONNX | float | Snapdragon® X2 Elite | 2.207 ms | 132 - 132 MB | NPU |
| WideResNet50 | ONNX | float | Snapdragon® X Elite | 4.434 ms | 132 - 132 MB | NPU |
| WideResNet50 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 3.471 ms | 0 - 227 MB | NPU |
| WideResNet50 | ONNX | float | Qualcomm® QCS8550 (Proxy) | 4.577 ms | 0 - 41 MB | NPU |
| WideResNet50 | ONNX | float | Qualcomm® QCS9075 | 6.781 ms | 0 - 4 MB | NPU |
| WideResNet50 | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.814 ms | 0 - 168 MB | NPU |
| WideResNet50 | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 1.153 ms | 0 - 52 MB | NPU |
| WideResNet50 | ONNX | w8a8 | Snapdragon® X2 Elite | 0.839 ms | 66 - 66 MB | NPU |
| WideResNet50 | ONNX | w8a8 | Snapdragon® X Elite | 1.801 ms | 66 - 66 MB | NPU |
| WideResNet50 | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.401 ms | 0 - 129 MB | NPU |
| WideResNet50 | ONNX | w8a8 | Qualcomm® QCS6490 | 78.276 ms | 10 - 109 MB | CPU |
| WideResNet50 | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.85 ms | 0 - 83 MB | NPU |
| WideResNet50 | ONNX | w8a8 | Qualcomm® QCS9075 | 1.922 ms | 0 - 3 MB | NPU |
| WideResNet50 | ONNX | w8a8 | Qualcomm® QCM6690 | 61.406 ms | 8 - 17 MB | CPU |
| WideResNet50 | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 1.228 ms | 0 - 52 MB | NPU |
| WideResNet50 | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 57.337 ms | 8 - 17 MB | CPU |
| WideResNet50 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.54 ms | 0 - 172 MB | NPU |
| WideResNet50 | QNN_DLC | float | Snapdragon® X2 Elite | 2.528 ms | 1 - 1 MB | NPU |
| WideResNet50 | QNN_DLC | float | Snapdragon® X Elite | 4.743 ms | 1 - 1 MB | NPU |
| WideResNet50 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 3.655 ms | 0 - 228 MB | NPU |
| WideResNet50 | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 24.583 ms | 1 - 175 MB | NPU |
| WideResNet50 | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 4.857 ms | 1 - 3 MB | NPU |
| WideResNet50 | QNN_DLC | float | Qualcomm® SA8775P | 7.183 ms | 1 - 170 MB | NPU |
| WideResNet50 | QNN_DLC | float | Qualcomm® QCS9075 | 7.084 ms | 1 - 3 MB | NPU |
| WideResNet50 | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 9.194 ms | 0 - 199 MB | NPU |
| WideResNet50 | QNN_DLC | float | Qualcomm® SA7255P | 24.583 ms | 1 - 175 MB | NPU |
| WideResNet50 | QNN_DLC | float | Qualcomm® SA8295P | 7.914 ms | 1 - 153 MB | NPU |
| WideResNet50 | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 3.018 ms | 0 - 175 MB | NPU |
| WideResNet50 | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 1.088 ms | 0 - 53 MB | NPU |
| WideResNet50 | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.898 ms | 0 - 0 MB | NPU |
| WideResNet50 | QNN_DLC | w8a8 | Snapdragon® X Elite | 1.785 ms | 0 - 0 MB | NPU |
| WideResNet50 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.43 ms | 0 - 127 MB | NPU |
| WideResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 7.731 ms | 0 - 2 MB | NPU |
| WideResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 3.973 ms | 0 - 51 MB | NPU |
| WideResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.86 ms | 0 - 2 MB | NPU |
| WideResNet50 | QNN_DLC | w8a8 | Qualcomm® SA8775P | 2.014 ms | 0 - 52 MB | NPU |
| WideResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 1.906 ms | 0 - 2 MB | NPU |
| WideResNet50 | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 17.897 ms | 0 - 212 MB | NPU |
| WideResNet50 | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 2.525 ms | 0 - 127 MB | NPU |
| WideResNet50 | QNN_DLC | w8a8 | Qualcomm® SA7255P | 3.973 ms | 0 - 51 MB | NPU |
| WideResNet50 | QNN_DLC | w8a8 | Qualcomm® SA8295P | 2.746 ms | 0 - 54 MB | NPU |
| WideResNet50 | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 1.146 ms | 0 - 50 MB | NPU |
| WideResNet50 | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 2.868 ms | 0 - 207 MB | NPU |
| WideResNet50 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.504 ms | 0 - 118 MB | NPU |
| WideResNet50 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 3.547 ms | 0 - 253 MB | NPU |
| WideResNet50 | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 23.655 ms | 0 - 115 MB | NPU |
| WideResNet50 | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 4.766 ms | 0 - 2 MB | NPU |
| WideResNet50 | TFLITE | float | Qualcomm® SA8775P | 7.036 ms | 0 - 115 MB | NPU |
| WideResNet50 | TFLITE | float | Qualcomm® QCS9075 | 7.063 ms | 0 - 134 MB | NPU |
| WideResNet50 | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 8.207 ms | 0 - 231 MB | NPU |
| WideResNet50 | TFLITE | float | Qualcomm® SA7255P | 23.655 ms | 0 - 115 MB | NPU |
| WideResNet50 | TFLITE | float | Qualcomm® SA8295P | 7.679 ms | 0 - 104 MB | NPU |
| WideResNet50 | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.851 ms | 0 - 119 MB | NPU |
| WideResNet50 | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 1.047 ms | 0 - 55 MB | NPU |
| WideResNet50 | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.306 ms | 0 - 130 MB | NPU |
| WideResNet50 | TFLITE | w8a8 | Qualcomm® QCS6490 | 6.767 ms | 0 - 68 MB | NPU |
| WideResNet50 | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 3.726 ms | 0 - 52 MB | NPU |
| WideResNet50 | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.723 ms | 0 - 2 MB | NPU |
| WideResNet50 | TFLITE | w8a8 | Qualcomm® SA8775P | 1.906 ms | 0 - 52 MB | NPU |
| WideResNet50 | TFLITE | w8a8 | Qualcomm® QCS9075 | 1.741 ms | 0 - 68 MB | NPU |
| WideResNet50 | TFLITE | w8a8 | Qualcomm® QCM6690 | 18.699 ms | 0 - 212 MB | NPU |
| WideResNet50 | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 2.396 ms | 0 - 133 MB | NPU |
| WideResNet50 | TFLITE | w8a8 | Qualcomm® SA7255P | 3.726 ms | 0 - 52 MB | NPU |
| WideResNet50 | TFLITE | w8a8 | Qualcomm® SA8295P | 2.588 ms | 0 - 50 MB | NPU |
| WideResNet50 | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 1.115 ms | 0 - 55 MB | NPU |
| WideResNet50 | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 2.74 ms | 0 - 211 MB | NPU |
License
- The license for the original implementation of WideResNet50 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.
