Image Classification
PyTorch
backbone
android
RepViT / README.md
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metadata
library_name: pytorch
license: apache-2.0
tags:
  - backbone
  - android
pipeline_tag: image-classification

RepViT: Optimized for Qualcomm Devices

RepViT is a lightweight pure CNN model for mobile devices, incorporating efficient architectural designs from Vision Transformers into CNNs. It achieves over 80% top-1 accuracy on ImageNet with 1ms latency on an iPhone 12.

This is based on the implementation of RepViT 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 1.30.0 Download
QNN_DLC float Universal QAIRT 2.50 Download
TFLITE float Universal QAIRT 2.50 Download

For more device-specific assets and performance metrics, visit RepViT 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 RepViT 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): 91 MB
  • Number of parameters: 22.9M

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
RepViT ONNX float Snapdragon® 8 Elite Gen 5 For Galaxy Mobile 1.427 ms 0 - 114 MB NPU
RepViT ONNX float Snapdragon® 8 Elite For Galaxy Mobile 1.775 ms 0 - 113 MB NPU
RepViT ONNX float Snapdragon® X2 Elite 1.68 ms 2 - 2 MB NPU
RepViT ONNX float Snapdragon® X Elite 3.34 ms 48 - 48 MB NPU
RepViT ONNX float Snapdragon® 8 Gen 3 Mobile 2.357 ms 0 - 195 MB NPU
RepViT ONNX float Snapdragon® 8 Gen 1 Mobile 11.094 ms 0 - 190 MB NPU
RepViT ONNX float Qualcomm® Dragonwing™ IQ-8275 4.604 ms 0 - 5 MB NPU
RepViT ONNX float Qualcomm® Dragonwing™ QCS8550 (Proxy) 3.173 ms 0 - 50 MB NPU
RepViT ONNX float Qualcomm® QCS8450 11.094 ms 0 - 190 MB NPU
RepViT ONNX float Qualcomm® Dragonwing™ IQ-9075 4.341 ms 0 - 4 MB NPU
RepViT ONNX float Qualcomm® Dragonwing™ IQ-X7181 3.34 ms 48 - 48 MB NPU
RepViT ONNX float Qualcomm® Dragonwing™ Q-8750 1.775 ms 0 - 113 MB NPU
RepViT QNN_DLC float Snapdragon® 8 Elite Gen 5 For Galaxy Mobile 1.512 ms 1 - 105 MB NPU
RepViT QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 1.886 ms 1 - 102 MB NPU
RepViT QNN_DLC float Snapdragon® X2 Elite 2.022 ms 1 - 1 MB NPU
RepViT QNN_DLC float Snapdragon® X Elite 3.834 ms 1 - 1 MB NPU
RepViT QNN_DLC float Snapdragon® 8 Gen 3 Mobile 2.517 ms 0 - 180 MB NPU
RepViT QNN_DLC float Snapdragon® 8 Gen 1 Mobile 11.873 ms 1 - 174 MB NPU
RepViT QNN_DLC float Qualcomm® Dragonwing™ IQ-8275 4.738 ms 1 - 4 MB NPU
RepViT QNN_DLC float Qualcomm® Dragonwing™ QCS8550 (Proxy) 3.477 ms 1 - 154 MB NPU
RepViT QNN_DLC float Qualcomm® SA8775P 4.719 ms 1 - 103 MB NPU
RepViT QNN_DLC float Qualcomm® SA8650P 4.719 ms 1 - 103 MB NPU
RepViT QNN_DLC float Qualcomm® SA8255P 4.719 ms 1 - 103 MB NPU
RepViT QNN_DLC float Qualcomm® QCS8450 11.873 ms 1 - 174 MB NPU
RepViT QNN_DLC float Qualcomm® Dragonwing™ IQ-9075 4.557 ms 3 - 5 MB NPU
RepViT QNN_DLC float Qualcomm® Dragonwing™ IQ-X7181 3.834 ms 1 - 1 MB NPU
RepViT QNN_DLC float Qualcomm® Dragonwing™ Q-8750 1.886 ms 1 - 102 MB NPU
RepViT QNN_DLC float Qualcomm® SA7255P 14.337 ms 1 - 101 MB NPU
RepViT QNN_DLC float Qualcomm® SA8295P 9.547 ms 1 - 103 MB NPU
RepViT TFLITE float Snapdragon® 8 Elite Gen 5 For Galaxy Mobile 1.519 ms 0 - 171 MB NPU
RepViT TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 1.873 ms 0 - 160 MB NPU
RepViT TFLITE float Snapdragon® 8 Gen 3 Mobile 2.535 ms 0 - 231 MB NPU
RepViT TFLITE float Snapdragon® 8 Gen 1 Mobile 11.918 ms 0 - 223 MB NPU
RepViT TFLITE float Qualcomm® Dragonwing™ IQ-8275 4.751 ms 0 - 51 MB NPU
RepViT TFLITE float Qualcomm® Dragonwing™ QCS8550 (Proxy) 3.425 ms 0 - 9 MB NPU
RepViT TFLITE float Qualcomm® SA8775P 4.739 ms 0 - 163 MB NPU
RepViT TFLITE float Qualcomm® SA8650P 4.739 ms 0 - 163 MB NPU
RepViT TFLITE float Qualcomm® SA8255P 4.739 ms 0 - 163 MB NPU
RepViT TFLITE float Qualcomm® QCS8450 11.918 ms 0 - 223 MB NPU
RepViT TFLITE float Qualcomm® Dragonwing™ IQ-9075 4.561 ms 0 - 51 MB NPU
RepViT TFLITE float Qualcomm® Dragonwing™ Q-8750 1.873 ms 0 - 160 MB NPU
RepViT TFLITE float Qualcomm® SA8295P 9.493 ms 0 - 160 MB NPU

License

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

References

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