RegNet / README.md
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v0.48.0
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metadata
library_name: pytorch
license: other
tags:
  - backbone
  - android
pipeline_tag: image-classification

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 2.42, ONNX Runtime 1.24.1 Download
ONNX w8a8 Universal QAIRT 2.42, ONNX Runtime 1.24.1 Download
QNN_DLC float Universal QAIRT 2.43 Download
QNN_DLC w8a8 Universal QAIRT 2.43 Download
TFLITE float Universal QAIRT 2.43, TFLite 2.17.0 Download
TFLITE w8a8 Universal QAIRT 2.43, TFLite 2.17.0 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 0.906 ms 39 - 39 MB NPU
RegNet ONNX float Snapdragon® X Elite 1.958 ms 39 - 39 MB NPU
RegNet ONNX float Snapdragon® 8 Gen 3 Mobile 1.24 ms 0 - 141 MB NPU
RegNet ONNX float Qualcomm® QCS8550 (Proxy) 1.751 ms 0 - 54 MB NPU
RegNet ONNX float Qualcomm® QCS9075 2.856 ms 0 - 4 MB NPU
RegNet ONNX float Snapdragon® 8 Elite For Galaxy Mobile 1.013 ms 0 - 88 MB NPU
RegNet ONNX float Snapdragon® 8 Elite Gen 5 Mobile 0.836 ms 1 - 88 MB NPU
RegNet ONNX w8a8 Snapdragon® X2 Elite 0.518 ms 20 - 20 MB NPU
RegNet ONNX w8a8 Snapdragon® X Elite 1.103 ms 20 - 20 MB NPU
RegNet ONNX w8a8 Snapdragon® 8 Gen 3 Mobile 0.652 ms 0 - 133 MB NPU
RegNet ONNX w8a8 Qualcomm® QCS6490 28.232 ms 8 - 20 MB CPU
RegNet ONNX w8a8 Qualcomm® QCS8550 (Proxy) 0.895 ms 0 - 30 MB NPU
RegNet ONNX w8a8 Qualcomm® QCS9075 1.077 ms 0 - 3 MB NPU
RegNet ONNX w8a8 Qualcomm® QCM6690 18.271 ms 7 - 16 MB CPU
RegNet ONNX w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.545 ms 0 - 79 MB NPU
RegNet ONNX w8a8 Snapdragon® 7 Gen 4 Mobile 13.94 ms 8 - 17 MB CPU
RegNet ONNX w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.511 ms 0 - 89 MB NPU
RegNet QNN_DLC float Snapdragon® X2 Elite 1.227 ms 1 - 1 MB NPU
RegNet QNN_DLC float Snapdragon® X Elite 2.327 ms 1 - 1 MB NPU
RegNet QNN_DLC float Snapdragon® 8 Gen 3 Mobile 1.399 ms 0 - 127 MB NPU
RegNet QNN_DLC float Qualcomm® QCS8275 (Proxy) 9.918 ms 1 - 77 MB NPU
RegNet QNN_DLC float Qualcomm® QCS8550 (Proxy) 2.079 ms 1 - 2 MB NPU
RegNet QNN_DLC float Qualcomm® SA8775P 3.286 ms 1 - 79 MB NPU
RegNet QNN_DLC float Qualcomm® QCS9075 3.068 ms 1 - 3 MB NPU
RegNet QNN_DLC float Qualcomm® QCS8450 (Proxy) 3.483 ms 0 - 117 MB NPU
RegNet QNN_DLC float Qualcomm® SA7255P 9.918 ms 1 - 77 MB NPU
RegNet QNN_DLC float Qualcomm® SA8295P 3.528 ms 0 - 65 MB NPU
RegNet QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 1.121 ms 1 - 78 MB NPU
RegNet QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 0.9 ms 1 - 81 MB NPU
RegNet QNN_DLC w8a8 Snapdragon® X2 Elite 0.598 ms 0 - 0 MB NPU
RegNet QNN_DLC w8a8 Snapdragon® X Elite 1.073 ms 0 - 0 MB NPU
RegNet QNN_DLC w8a8 Snapdragon® 8 Gen 3 Mobile 0.643 ms 0 - 110 MB NPU
RegNet QNN_DLC w8a8 Qualcomm® QCS6490 2.693 ms 0 - 2 MB NPU
RegNet QNN_DLC w8a8 Qualcomm® QCS8275 (Proxy) 2.288 ms 0 - 76 MB NPU
RegNet QNN_DLC w8a8 Qualcomm® QCS8550 (Proxy) 0.888 ms 0 - 2 MB NPU
RegNet QNN_DLC w8a8 Qualcomm® SA8775P 4.983 ms 0 - 76 MB NPU
RegNet QNN_DLC w8a8 Qualcomm® QCS9075 1.081 ms 2 - 4 MB NPU
RegNet QNN_DLC w8a8 Qualcomm® QCM6690 7.096 ms 0 - 197 MB NPU
RegNet QNN_DLC w8a8 Qualcomm® QCS8450 (Proxy) 1.366 ms 0 - 110 MB NPU
RegNet QNN_DLC w8a8 Qualcomm® SA7255P 2.288 ms 0 - 76 MB NPU
RegNet QNN_DLC w8a8 Qualcomm® SA8295P 1.636 ms 0 - 75 MB NPU
RegNet QNN_DLC w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.487 ms 0 - 76 MB NPU
RegNet QNN_DLC w8a8 Snapdragon® 7 Gen 4 Mobile 1.148 ms 0 - 77 MB NPU
RegNet QNN_DLC w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.441 ms 0 - 80 MB NPU
RegNet TFLITE float Snapdragon® 8 Gen 3 Mobile 1.408 ms 0 - 160 MB NPU
RegNet TFLITE float Qualcomm® QCS8275 (Proxy) 9.901 ms 0 - 101 MB NPU
RegNet TFLITE float Qualcomm® QCS8550 (Proxy) 2.047 ms 0 - 2 MB NPU
RegNet TFLITE float Qualcomm® SA8775P 14.216 ms 0 - 100 MB NPU
RegNet TFLITE float Qualcomm® QCS9075 3.056 ms 0 - 42 MB NPU
RegNet TFLITE float Qualcomm® QCS8450 (Proxy) 3.448 ms 0 - 142 MB NPU
RegNet TFLITE float Qualcomm® SA7255P 9.901 ms 0 - 101 MB NPU
RegNet TFLITE float Qualcomm® SA8295P 3.497 ms 0 - 83 MB NPU
RegNet TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 1.109 ms 0 - 104 MB NPU
RegNet TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 0.895 ms 0 - 104 MB NPU
RegNet TFLITE w8a8 Snapdragon® 8 Gen 3 Mobile 0.54 ms 0 - 119 MB NPU
RegNet TFLITE w8a8 Qualcomm® QCS6490 2.257 ms 0 - 21 MB NPU
RegNet TFLITE w8a8 Qualcomm® QCS8275 (Proxy) 1.984 ms 0 - 74 MB NPU
RegNet TFLITE w8a8 Qualcomm® QCS8550 (Proxy) 0.731 ms 0 - 3 MB NPU
RegNet TFLITE w8a8 Qualcomm® SA8775P 1.14 ms 0 - 76 MB NPU
RegNet TFLITE w8a8 Qualcomm® QCS9075 0.89 ms 0 - 22 MB NPU
RegNet TFLITE w8a8 Qualcomm® QCM6690 6.644 ms 0 - 190 MB NPU
RegNet TFLITE w8a8 Qualcomm® QCS8450 (Proxy) 1.099 ms 0 - 117 MB NPU
RegNet TFLITE w8a8 Qualcomm® SA7255P 1.984 ms 0 - 74 MB NPU
RegNet TFLITE w8a8 Qualcomm® SA8295P 1.412 ms 0 - 71 MB NPU
RegNet TFLITE w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.423 ms 0 - 79 MB NPU
RegNet TFLITE w8a8 Snapdragon® 7 Gen 4 Mobile 0.988 ms 0 - 71 MB NPU
RegNet TFLITE w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.392 ms 0 - 78 MB NPU

License

  • The license for the original implementation of RegNet can be found here.

References

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