RegNet-Y-800MF: Optimized for Qualcomm Devices
RegNet_Y_800MF is part of the RegNet family of models designed for efficient and scalable image classification. It uses a simple yet effective design space to balance performance and computational cost, making it suitable for mobile and edge devices.
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 RegNet-Y-800MF 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-Y-800MF on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.image_classification
Model Stats:
- Model checkpoint: regnet_y_800mf-1b27b58c.pth
- Input resolution: 1x3x224
- Model size: ~6.3 MB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| RegNet-Y-800MF | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.534 ms | 0 - 61 MB | NPU |
| RegNet-Y-800MF | ONNX | float | Snapdragon® X2 Elite | 0.55 ms | 15 - 15 MB | NPU |
| RegNet-Y-800MF | ONNX | float | Snapdragon® X Elite | 1.288 ms | 14 - 14 MB | NPU |
| RegNet-Y-800MF | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.719 ms | 0 - 83 MB | NPU |
| RegNet-Y-800MF | ONNX | float | Qualcomm® QCS8550 (Proxy) | 1.101 ms | 0 - 18 MB | NPU |
| RegNet-Y-800MF | ONNX | float | Qualcomm® QCS9075 | 1.486 ms | 1 - 3 MB | NPU |
| RegNet-Y-800MF | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.554 ms | 0 - 60 MB | NPU |
| RegNet-Y-800MF | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.383 ms | 0 - 60 MB | NPU |
| RegNet-Y-800MF | ONNX | w8a8 | Snapdragon® X2 Elite | 0.387 ms | 7 - 7 MB | NPU |
| RegNet-Y-800MF | ONNX | w8a8 | Snapdragon® X Elite | 0.886 ms | 7 - 7 MB | NPU |
| RegNet-Y-800MF | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.508 ms | 0 - 87 MB | NPU |
| RegNet-Y-800MF | ONNX | w8a8 | Qualcomm® QCS6490 | 14.413 ms | 5 - 11 MB | CPU |
| RegNet-Y-800MF | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.703 ms | 0 - 11 MB | NPU |
| RegNet-Y-800MF | ONNX | w8a8 | Qualcomm® QCS9075 | 0.879 ms | 0 - 3 MB | NPU |
| RegNet-Y-800MF | ONNX | w8a8 | Qualcomm® QCM6690 | 8.535 ms | 6 - 14 MB | CPU |
| RegNet-Y-800MF | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.435 ms | 0 - 48 MB | NPU |
| RegNet-Y-800MF | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 6.378 ms | 5 - 14 MB | CPU |
| RegNet-Y-800MF | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.624 ms | 1 - 57 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | float | Snapdragon® X2 Elite | 0.855 ms | 1 - 1 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | float | Snapdragon® X Elite | 1.653 ms | 1 - 1 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.909 ms | 0 - 79 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 4.075 ms | 1 - 53 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 1.43 ms | 1 - 2 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | float | Qualcomm® SA8775P | 1.926 ms | 1 - 56 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | float | Qualcomm® QCS9075 | 1.738 ms | 1 - 3 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 2.224 ms | 0 - 76 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | float | Qualcomm® SA7255P | 4.075 ms | 1 - 53 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | float | Qualcomm® SA8295P | 2.168 ms | 0 - 47 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.701 ms | 1 - 55 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.317 ms | 0 - 49 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.484 ms | 0 - 0 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.857 ms | 0 - 0 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.498 ms | 0 - 65 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 1.718 ms | 0 - 2 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 1.588 ms | 0 - 46 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.7 ms | 0 - 74 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.964 ms | 0 - 50 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 0.855 ms | 0 - 2 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 2.881 ms | 0 - 47 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.881 ms | 0 - 66 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | w8a8 | Qualcomm® SA7255P | 1.588 ms | 0 - 46 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | w8a8 | Qualcomm® SA8295P | 1.131 ms | 0 - 45 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.38 ms | 0 - 45 MB | NPU |
| RegNet-Y-800MF | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.732 ms | 0 - 46 MB | NPU |
| RegNet-Y-800MF | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.612 ms | 0 - 67 MB | NPU |
| RegNet-Y-800MF | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.919 ms | 0 - 93 MB | NPU |
| RegNet-Y-800MF | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 4.074 ms | 0 - 63 MB | NPU |
| RegNet-Y-800MF | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 1.412 ms | 0 - 2 MB | NPU |
| RegNet-Y-800MF | TFLITE | float | Qualcomm® SA8775P | 1.945 ms | 0 - 65 MB | NPU |
| RegNet-Y-800MF | TFLITE | float | Qualcomm® QCS9075 | 1.737 ms | 0 - 17 MB | NPU |
| RegNet-Y-800MF | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 2.215 ms | 0 - 79 MB | NPU |
| RegNet-Y-800MF | TFLITE | float | Qualcomm® SA7255P | 4.074 ms | 0 - 63 MB | NPU |
| RegNet-Y-800MF | TFLITE | float | Qualcomm® SA8295P | 2.179 ms | 0 - 55 MB | NPU |
| RegNet-Y-800MF | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.696 ms | 0 - 58 MB | NPU |
| RegNet-Y-800MF | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.259 ms | 0 - 50 MB | NPU |
| RegNet-Y-800MF | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.365 ms | 0 - 65 MB | NPU |
| RegNet-Y-800MF | TFLITE | w8a8 | Qualcomm® QCS6490 | 1.37 ms | 0 - 9 MB | NPU |
| RegNet-Y-800MF | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 1.264 ms | 0 - 48 MB | NPU |
| RegNet-Y-800MF | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.516 ms | 0 - 2 MB | NPU |
| RegNet-Y-800MF | TFLITE | w8a8 | Qualcomm® SA8775P | 0.771 ms | 0 - 51 MB | NPU |
| RegNet-Y-800MF | TFLITE | w8a8 | Qualcomm® QCS9075 | 0.688 ms | 0 - 9 MB | NPU |
| RegNet-Y-800MF | TFLITE | w8a8 | Qualcomm® QCM6690 | 2.334 ms | 0 - 43 MB | NPU |
| RegNet-Y-800MF | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.682 ms | 0 - 66 MB | NPU |
| RegNet-Y-800MF | TFLITE | w8a8 | Qualcomm® SA7255P | 1.264 ms | 0 - 48 MB | NPU |
| RegNet-Y-800MF | TFLITE | w8a8 | Qualcomm® SA8295P | 0.918 ms | 0 - 43 MB | NPU |
| RegNet-Y-800MF | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.302 ms | 0 - 51 MB | NPU |
| RegNet-Y-800MF | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.546 ms | 0 - 43 MB | NPU |
License
- The license for the original implementation of RegNet-Y-800MF can be found here.
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.
