Hugging Face's logo

qualcomm
/
RegNet

Image Classification
PyTorch
backbone
android
Model card Files
xet
 Community

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 2.50, ONNX Runtime 1.27.1 Download
ONNX w8a8 Universal QAIRT 2.50, ONNX Runtime 1.27.1 Download
QNN_DLC float Universal QAIRT 2.50 Download
QNN_DLC w8a8 Universal QAIRT 2.50 Download
TFLITE float Universal QAIRT 2.50 Download
TFLITE w8a8 Universal QAIRT 2.50 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:

  • Input resolution: 224x224
  • Model checkpoint: Imagenet
  • Model size (float): 58.3 MB
  • Model size (w8a8): 15.4 MB
  • Number of parameters: 15.3M

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
RegNet ONNX float Snapdragon® 8 Elite Gen 5 For Galaxy Mobile 0.832 ms 0 - 80 MB NPU
RegNet ONNX float Snapdragon® 8 Elite For Galaxy Mobile 0.989 ms 0 - 80 MB NPU
RegNet ONNX float Snapdragon® X2 Elite 0.891 ms 2 - 2 MB NPU
RegNet ONNX float Snapdragon® X Elite 1.763 ms 39 - 39 MB NPU
RegNet ONNX float Snapdragon® 8 Gen 3 Mobile 1.202 ms 0 - 131 MB NPU
RegNet ONNX float Snapdragon® 8 Gen 1 Mobile 2.576 ms 0 - 121 MB NPU
RegNet ONNX float Qualcomm® Dragonwing™ IQ-8275 3.026 ms 0 - 5 MB NPU
RegNet ONNX float Qualcomm® Dragonwing™ QCS8550 (Proxy) 1.736 ms 0 - 41 MB NPU
RegNet ONNX float Qualcomm® QCS8450 2.576 ms 0 - 121 MB NPU
RegNet ONNX float Qualcomm® Dragonwing™ IQ-9075 2.81 ms 0 - 4 MB NPU
RegNet ONNX float Qualcomm® Dragonwing™ IQ-X7181 1.763 ms 39 - 39 MB NPU
RegNet ONNX float Qualcomm® Dragonwing™ Q-8750 0.989 ms 0 - 80 MB NPU
RegNet ONNX w8a8 Snapdragon® 8 Elite Gen 5 For Galaxy Mobile 0.517 ms 0 - 94 MB NPU
RegNet ONNX w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.553 ms 0 - 93 MB NPU
RegNet ONNX w8a8 Snapdragon® X2 Elite 0.435 ms 1 - 1 MB NPU
RegNet ONNX w8a8 Snapdragon® X Elite 0.923 ms 21 - 21 MB NPU
RegNet ONNX w8a8 Snapdragon® 8 Gen 3 Mobile 0.652 ms 0 - 142 MB NPU
RegNet ONNX w8a8 Snapdragon® 8 Gen 1 Mobile 1.117 ms 0 - 138 MB NPU
RegNet ONNX w8a8 Qualcomm® Dragonwing™ QCS6490 2.629 ms 0 - 3 MB NPU
RegNet ONNX w8a8 Qualcomm® Dragonwing™ IQ-8275 1.021 ms 0 - 4 MB NPU
RegNet ONNX w8a8 Qualcomm® Dragonwing™ QCS8550 (Proxy) 0.893 ms 0 - 26 MB NPU
RegNet ONNX w8a8 Qualcomm® QCS8450 1.117 ms 0 - 138 MB NPU
RegNet ONNX w8a8 Qualcomm® Dragonwing™ IQ-9075 1.154 ms 0 - 3 MB NPU
RegNet ONNX w8a8 Qualcomm® Dragonwing™ IQ-X7181 0.923 ms 21 - 21 MB NPU
RegNet ONNX w8a8 Qualcomm® Dragonwing™ Q-6690 7.129 ms 0 - 201 MB NPU
RegNet ONNX w8a8 Qualcomm® Dragonwing™ Q-7790 1.094 ms 0 - 90 MB NPU
RegNet ONNX w8a8 Qualcomm® Dragonwing™ Q-8750 0.553 ms 0 - 93 MB NPU
RegNet ONNX w8a8 Snapdragon® 7 Gen 4 Mobile 1.094 ms 0 - 90 MB NPU
RegNet QNN_DLC float Snapdragon® 8 Elite Gen 5 For Galaxy Mobile 0.906 ms 1 - 81 MB NPU
RegNet QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 1.101 ms 0 - 77 MB NPU
RegNet QNN_DLC float Snapdragon® X2 Elite 1.234 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 1.404 ms 0 - 128 MB NPU
RegNet QNN_DLC float Snapdragon® 8 Gen 1 Mobile 3.352 ms 0 - 122 MB NPU
RegNet QNN_DLC float Qualcomm® Dragonwing™ IQ-8275 3.178 ms 1 - 4 MB NPU
RegNet QNN_DLC float Qualcomm® Dragonwing™ QCS8550 (Proxy) 2.043 ms 1 - 2 MB NPU
RegNet QNN_DLC float Qualcomm® QCS8450 3.352 ms 0 - 122 MB NPU
RegNet QNN_DLC float Qualcomm® Dragonwing™ IQ-9075 3.024 ms 1 - 3 MB NPU
RegNet QNN_DLC float Qualcomm® Dragonwing™ IQ-X7181 2.254 ms 1 - 1 MB NPU
RegNet QNN_DLC float Qualcomm® Dragonwing™ Q-8750 1.101 ms 0 - 77 MB NPU
RegNet QNN_DLC float Qualcomm® SA8295P 3.336 ms 0 - 65 MB NPU
RegNet QNN_DLC w8a8 Snapdragon® 8 Elite Gen 5 For Galaxy Mobile 0.444 ms 0 - 85 MB NPU
RegNet QNN_DLC w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.479 ms 0 - 87 MB NPU
RegNet QNN_DLC w8a8 Snapdragon® X2 Elite 0.537 ms 0 - 0 MB NPU
RegNet QNN_DLC w8a8 Snapdragon® X Elite 1.044 ms 0 - 0 MB NPU
RegNet QNN_DLC w8a8 Snapdragon® 8 Gen 3 Mobile 0.625 ms 0 - 116 MB NPU
RegNet QNN_DLC w8a8 Snapdragon® 8 Gen 1 Mobile 1.099 ms 0 - 115 MB NPU
RegNet QNN_DLC w8a8 Qualcomm® Dragonwing™ QCS6490 2.679 ms 2 - 4 MB NPU
RegNet QNN_DLC w8a8 Qualcomm® Dragonwing™ IQ-8275 0.948 ms 0 - 3 MB NPU
RegNet QNN_DLC w8a8 Qualcomm® Dragonwing™ QCS8550 (Proxy) 0.87 ms 0 - 2 MB NPU
RegNet QNN_DLC w8a8 Qualcomm® QCS8450 1.099 ms 0 - 115 MB NPU
RegNet QNN_DLC w8a8 Qualcomm® Dragonwing™ IQ-9075 1.107 ms 0 - 2 MB NPU
RegNet QNN_DLC w8a8 Qualcomm® Dragonwing™ IQ-X7181 1.044 ms 0 - 0 MB NPU
RegNet QNN_DLC w8a8 Qualcomm® Dragonwing™ Q-6690 7.436 ms 0 - 195 MB NPU
RegNet QNN_DLC w8a8 Qualcomm® Dragonwing™ Q-7790 1.166 ms 0 - 83 MB NPU
RegNet QNN_DLC w8a8 Qualcomm® Dragonwing™ Q-8750 0.479 ms 0 - 87 MB NPU
RegNet QNN_DLC w8a8 Qualcomm® SA7255P 2.221 ms 0 - 84 MB NPU
RegNet QNN_DLC w8a8 Qualcomm® SA8295P 1.463 ms 0 - 82 MB NPU
RegNet QNN_DLC w8a8 Snapdragon® 7 Gen 4 Mobile 1.166 ms 0 - 83 MB NPU
RegNet TFLITE float Snapdragon® 8 Elite Gen 5 For Galaxy Mobile 0.901 ms 0 - 99 MB NPU
RegNet TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 1.094 ms 0 - 99 MB NPU
RegNet TFLITE float Snapdragon® 8 Gen 3 Mobile 1.39 ms 4 - 158 MB NPU
RegNet TFLITE float Snapdragon® 8 Gen 1 Mobile 3.294 ms 0 - 144 MB NPU
RegNet TFLITE float Qualcomm® Dragonwing™ IQ-8275 3.17 ms 0 - 43 MB NPU
RegNet TFLITE float Qualcomm® Dragonwing™ QCS8550 (Proxy) 2.018 ms 0 - 2 MB NPU
RegNet TFLITE float Qualcomm® SA8775P 14.662 ms 0 - 28 MB GPU
RegNet TFLITE float Qualcomm® SA8650P 14.662 ms 0 - 28 MB GPU
RegNet TFLITE float Qualcomm® SA8255P 14.662 ms 0 - 28 MB GPU
RegNet TFLITE float Qualcomm® QCS8450 3.294 ms 0 - 144 MB NPU
RegNet TFLITE float Qualcomm® Dragonwing™ IQ-9075 3.031 ms 0 - 42 MB NPU
RegNet TFLITE float Qualcomm® Dragonwing™ Q-8750 1.094 ms 0 - 99 MB NPU
RegNet TFLITE float Qualcomm® SA7255P 9.849 ms 0 - 93 MB NPU
RegNet TFLITE float Qualcomm® SA8295P 3.324 ms 0 - 77 MB NPU
RegNet TFLITE w8a8 Snapdragon® 8 Elite Gen 5 For Galaxy Mobile 0.392 ms 0 - 76 MB NPU
RegNet TFLITE w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.432 ms 0 - 83 MB NPU
RegNet TFLITE w8a8 Snapdragon® 8 Gen 3 Mobile 0.507 ms 0 - 114 MB NPU
RegNet TFLITE w8a8 Snapdragon® 8 Gen 1 Mobile 0.922 ms 0 - 120 MB NPU
RegNet TFLITE w8a8 Qualcomm® Dragonwing™ QCS6490 2.43 ms 0 - 22 MB NPU
RegNet TFLITE w8a8 Qualcomm® Dragonwing™ IQ-8275 0.809 ms 0 - 23 MB NPU
RegNet TFLITE w8a8 Qualcomm® Dragonwing™ QCS8550 (Proxy) 0.703 ms 0 - 2 MB NPU
RegNet TFLITE w8a8 Qualcomm® SA8775P 1.068 ms 0 - 82 MB NPU
RegNet TFLITE w8a8 Qualcomm® SA8650P 1.068 ms 0 - 82 MB NPU
RegNet TFLITE w8a8 Qualcomm® SA8255P 1.068 ms 0 - 82 MB NPU
RegNet TFLITE w8a8 Qualcomm® QCS8450 0.922 ms 0 - 120 MB NPU
RegNet TFLITE w8a8 Qualcomm® Dragonwing™ IQ-9075 0.916 ms 0 - 22 MB NPU
RegNet TFLITE w8a8 Qualcomm® Dragonwing™ Q-6690 6.533 ms 0 - 188 MB NPU
RegNet TFLITE w8a8 Qualcomm® Dragonwing™ Q-7790 0.979 ms 0 - 77 MB NPU
RegNet TFLITE w8a8 Qualcomm® Dragonwing™ Q-8750 0.432 ms 0 - 83 MB NPU
RegNet TFLITE w8a8 Qualcomm® SA7255P 1.92 ms 0 - 79 MB NPU
RegNet TFLITE w8a8 Qualcomm® SA8295P 1.275 ms 0 - 75 MB NPU
RegNet TFLITE w8a8 Snapdragon® 7 Gen 4 Mobile 0.979 ms 0 - 77 MB NPU

License

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

References

Community

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
Image Classification
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Paper for qualcomm/RegNet