RegNet: Optimized for Qualcomm Devices
RegNet 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 RegNet 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 RegNet 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 RegNet 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: 15.3M
- Model size (float): 58.3 MB
- Model size (w8a8): 15.4 MB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| RegNet | ONNX | float | Snapdragon® X2 Elite | 0.915 ms | 2 - 2 MB | NPU |
| RegNet | ONNX | float | Snapdragon® X Elite | 1.768 ms | 39 - 39 MB | NPU |
| RegNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.235 ms | 0 - 126 MB | NPU |
| RegNet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 2.726 ms | 0 - 116 MB | NPU |
| RegNet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.738 ms | 0 - 68 MB | NPU |
| RegNet | ONNX | float | Qualcomm® QCS8450 | 2.726 ms | 0 - 116 MB | NPU |
| RegNet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 2.803 ms | 0 - 4 MB | NPU |
| RegNet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.835 ms | 0 - 77 MB | NPU |
| RegNet | ONNX | float | Snapdragon® 8 Elite Mobile | 0.996 ms | 0 - 76 MB | NPU |
| RegNet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.996 ms | 0 - 76 MB | NPU |
| RegNet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.768 ms | 39 - 39 MB | NPU |
| RegNet | ONNX | w8a8 | Snapdragon® X2 Elite | 0.473 ms | 1 - 1 MB | NPU |
| RegNet | ONNX | w8a8 | Snapdragon® X Elite | 0.931 ms | 20 - 20 MB | NPU |
| RegNet | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.633 ms | 0 - 134 MB | NPU |
| RegNet | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.3 ms | 0 - 134 MB | NPU |
| RegNet | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 3.792 ms | 0 - 3 MB | NPU |
| RegNet | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.904 ms | 0 - 26 MB | NPU |
| RegNet | ONNX | w8a8 | Qualcomm® QCS8450 | 1.3 ms | 0 - 134 MB | NPU |
| RegNet | ONNX | w8a8 | Snapdragon® 8 Elite Mobile | 0.547 ms | 0 - 91 MB | NPU |
| RegNet | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.166 ms | 0 - 87 MB | NPU |
| RegNet | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.508 ms | 0 - 89 MB | NPU |
| RegNet | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 1.162 ms | 0 - 3 MB | NPU |
| RegNet | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 7.239 ms | 0 - 206 MB | NPU |
| RegNet | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 1.166 ms | 0 - 87 MB | NPU |
| RegNet | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.547 ms | 0 - 91 MB | NPU |
| RegNet | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 0.931 ms | 20 - 20 MB | NPU |
| RegNet | QNN_DLC | float | Snapdragon® X2 Elite | 1.211 ms | 1 - 1 MB | NPU |
| RegNet | QNN_DLC | float | Snapdragon® X Elite | 2.254 ms | 1 - 1 MB | NPU |
| RegNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.406 ms | 0 - 126 MB | NPU |
| RegNet | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 3.481 ms | 0 - 115 MB | NPU |
| RegNet | QNN_DLC | float | Qualcomm® QCS8275 | 9.847 ms | 1 - 72 MB | NPU |
| RegNet | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.053 ms | 1 - 33 MB | NPU |
| RegNet | QNN_DLC | float | Qualcomm® SA8775P | 3.264 ms | 1 - 74 MB | NPU |
| RegNet | QNN_DLC | float | Qualcomm® SA8650P | 3.264 ms | 1 - 74 MB | NPU |
| RegNet | QNN_DLC | float | Qualcomm® SA8255P | 3.264 ms | 1 - 74 MB | NPU |
| RegNet | QNN_DLC | float | Qualcomm® QCS8450 | 3.481 ms | 0 - 115 MB | NPU |
| RegNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 3.041 ms | 1 - 3 MB | NPU |
| RegNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.893 ms | 1 - 76 MB | NPU |
| RegNet | QNN_DLC | float | Qualcomm® SA7255P | 9.847 ms | 1 - 72 MB | NPU |
| RegNet | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 1.106 ms | 1 - 74 MB | NPU |
| RegNet | QNN_DLC | float | Qualcomm® SA8295P | 3.464 ms | 0 - 61 MB | NPU |
| RegNet | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 1.106 ms | 1 - 74 MB | NPU |
| RegNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 2.254 ms | 1 - 1 MB | NPU |
| RegNet | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.576 ms | 0 - 0 MB | NPU |
| RegNet | QNN_DLC | w8a8 | Snapdragon® X Elite | 1.054 ms | 0 - 0 MB | NPU |
| RegNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.637 ms | 0 - 111 MB | NPU |
| RegNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.313 ms | 0 - 112 MB | NPU |
| RegNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 4.13 ms | 0 - 2 MB | NPU |
| RegNet | QNN_DLC | w8a8 | Qualcomm® QCS8275 | 2.312 ms | 0 - 80 MB | NPU |
| RegNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.884 ms | 0 - 8 MB | NPU |
| RegNet | QNN_DLC | w8a8 | Qualcomm® SA8775P | 1.301 ms | 0 - 82 MB | NPU |
| RegNet | QNN_DLC | w8a8 | Qualcomm® SA8650P | 1.301 ms | 0 - 82 MB | NPU |
| RegNet | QNN_DLC | w8a8 | Qualcomm® SA8255P | 1.301 ms | 0 - 82 MB | NPU |
| RegNet | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 1.313 ms | 0 - 112 MB | NPU |
| RegNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 0.481 ms | 0 - 78 MB | NPU |
| RegNet | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.178 ms | 0 - 80 MB | NPU |
| RegNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.443 ms | 0 - 82 MB | NPU |
| RegNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 1.119 ms | 0 - 2 MB | NPU |
| RegNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 7.109 ms | 0 - 199 MB | NPU |
| RegNet | QNN_DLC | w8a8 | Qualcomm® SA7255P | 2.312 ms | 0 - 80 MB | NPU |
| RegNet | QNN_DLC | w8a8 | Qualcomm® SA8295P | 1.601 ms | 0 - 78 MB | NPU |
| RegNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 1.178 ms | 0 - 80 MB | NPU |
| RegNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.481 ms | 0 - 78 MB | NPU |
| RegNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 1.054 ms | 0 - 0 MB | NPU |
| RegNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.397 ms | 0 - 148 MB | NPU |
| RegNet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 3.47 ms | 0 - 137 MB | NPU |
| RegNet | TFLITE | float | Qualcomm® QCS8275 | 9.882 ms | 0 - 89 MB | NPU |
| RegNet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.037 ms | 0 - 7 MB | NPU |
| RegNet | TFLITE | float | Qualcomm® SA8775P | 3.315 ms | 0 - 92 MB | NPU |
| RegNet | TFLITE | float | Qualcomm® SA8650P | 3.315 ms | 0 - 92 MB | NPU |
| RegNet | TFLITE | float | Qualcomm® SA8255P | 3.315 ms | 0 - 92 MB | NPU |
| RegNet | TFLITE | float | Qualcomm® QCS8450 | 3.47 ms | 0 - 137 MB | NPU |
| RegNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 3.036 ms | 0 - 42 MB | NPU |
| RegNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.901 ms | 0 - 86 MB | NPU |
| RegNet | TFLITE | float | Qualcomm® SA7255P | 9.882 ms | 0 - 89 MB | NPU |
| RegNet | TFLITE | float | Snapdragon® 8 Elite Mobile | 1.105 ms | 0 - 92 MB | NPU |
| RegNet | TFLITE | float | Qualcomm® SA8295P | 3.461 ms | 0 - 72 MB | NPU |
| RegNet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 1.105 ms | 0 - 92 MB | NPU |
| RegNet | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.548 ms | 0 - 118 MB | NPU |
| RegNet | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.111 ms | 0 - 119 MB | NPU |
| RegNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 3.918 ms | 0 - 22 MB | NPU |
| RegNet | TFLITE | w8a8 | Qualcomm® QCS8275 | 1.976 ms | 0 - 75 MB | NPU |
| RegNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.708 ms | 0 - 2 MB | NPU |
| RegNet | TFLITE | w8a8 | Qualcomm® SA8775P | 1.119 ms | 0 - 79 MB | NPU |
| RegNet | TFLITE | w8a8 | Qualcomm® SA8650P | 1.119 ms | 0 - 79 MB | NPU |
| RegNet | TFLITE | w8a8 | Qualcomm® SA8255P | 1.119 ms | 0 - 79 MB | NPU |
| RegNet | TFLITE | w8a8 | Qualcomm® QCS8450 | 1.111 ms | 0 - 119 MB | NPU |
| RegNet | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 0.442 ms | 0 - 79 MB | NPU |
| RegNet | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.988 ms | 0 - 73 MB | NPU |
| RegNet | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.394 ms | 0 - 77 MB | NPU |
| RegNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 0.958 ms | 0 - 22 MB | NPU |
| RegNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 6.627 ms | 0 - 193 MB | NPU |
| RegNet | TFLITE | w8a8 | Qualcomm® SA7255P | 1.976 ms | 0 - 75 MB | NPU |
| RegNet | TFLITE | w8a8 | Qualcomm® SA8295P | 1.418 ms | 0 - 72 MB | NPU |
| RegNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 0.988 ms | 0 - 73 MB | NPU |
| RegNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.442 ms | 0 - 79 MB | NPU |
License
- The license for the original implementation of RegNet 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.
