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Shufflenet-v2

Image Classification
PyTorch
android
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Shufflenet-v2: Optimized for Qualcomm Devices

ShufflenetV2 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 Shufflenet-v2 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 1.24.3 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 Shufflenet-v2 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 Shufflenet-v2 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: 1.37M
  • Model size (float): 5.24 MB
  • Model size (w8a8): 1.47 MB

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
Shufflenet-v2 ONNX float Snapdragon® 8 Elite Gen 5 Mobile 0.426 ms 1 - 32 MB NPU
Shufflenet-v2 ONNX float Snapdragon® X2 Elite 0.428 ms 0 - 0 MB NPU
Shufflenet-v2 ONNX float Snapdragon® X Elite 0.948 ms 2 - 2 MB NPU
Shufflenet-v2 ONNX float Snapdragon® 8 Gen 3 Mobile 0.513 ms 0 - 41 MB NPU
Shufflenet-v2 ONNX float Qualcomm® QCS8550 (Proxy) 0.806 ms 1 - 9 MB NPU
Shufflenet-v2 ONNX float Qualcomm® QCS9075 0.991 ms 1 - 3 MB NPU
Shufflenet-v2 ONNX float Snapdragon® 8 Elite For Galaxy Mobile 0.434 ms 0 - 33 MB NPU
Shufflenet-v2 ONNX w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.342 ms 0 - 31 MB NPU
Shufflenet-v2 ONNX w8a8 Snapdragon® X2 Elite 0.352 ms 0 - 0 MB NPU
Shufflenet-v2 ONNX w8a8 Snapdragon® X Elite 0.707 ms 0 - 0 MB NPU
Shufflenet-v2 ONNX w8a8 Snapdragon® 8 Gen 3 Mobile 0.401 ms 0 - 37 MB NPU
Shufflenet-v2 ONNX w8a8 Qualcomm® QCS6490 3.716 ms 4 - 7 MB CPU
Shufflenet-v2 ONNX w8a8 Qualcomm® QCS8550 (Proxy) 0.573 ms 0 - 13 MB NPU
Shufflenet-v2 ONNX w8a8 Qualcomm® QCS9075 0.69 ms 0 - 3 MB NPU
Shufflenet-v2 ONNX w8a8 Qualcomm® QCM6690 2.312 ms 0 - 9 MB CPU
Shufflenet-v2 ONNX w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.353 ms 0 - 26 MB NPU
Shufflenet-v2 ONNX w8a8 Snapdragon® 7 Gen 4 Mobile 1.477 ms 0 - 9 MB CPU
Shufflenet-v2 QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 0.287 ms 1 - 32 MB NPU
Shufflenet-v2 QNN_DLC float Snapdragon® X2 Elite 0.423 ms 1 - 1 MB NPU
Shufflenet-v2 QNN_DLC float Snapdragon® X Elite 0.94 ms 1 - 1 MB NPU
Shufflenet-v2 QNN_DLC float Snapdragon® 8 Gen 3 Mobile 0.507 ms 0 - 39 MB NPU
Shufflenet-v2 QNN_DLC float Qualcomm® QCS8275 (Proxy) 1.726 ms 1 - 28 MB NPU
Shufflenet-v2 QNN_DLC float Qualcomm® QCS8550 (Proxy) 0.793 ms 1 - 26 MB NPU
Shufflenet-v2 QNN_DLC float Qualcomm® SA8775P 1.047 ms 1 - 30 MB NPU
Shufflenet-v2 QNN_DLC float Qualcomm® QCS9075 0.884 ms 1 - 3 MB NPU
Shufflenet-v2 QNN_DLC float Qualcomm® QCS8450 (Proxy) 1.363 ms 0 - 40 MB NPU
Shufflenet-v2 QNN_DLC float Qualcomm® SA7255P 1.726 ms 1 - 28 MB NPU
Shufflenet-v2 QNN_DLC float Qualcomm® SA8295P 1.23 ms 1 - 26 MB NPU
Shufflenet-v2 QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 0.368 ms 1 - 28 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.214 ms 0 - 26 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Snapdragon® X2 Elite 0.316 ms 0 - 0 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Snapdragon® X Elite 0.622 ms 0 - 0 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Snapdragon® 8 Gen 3 Mobile 0.343 ms 0 - 32 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Qualcomm® QCS6490 1.173 ms 2 - 4 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Qualcomm® QCS8275 (Proxy) 1.065 ms 0 - 24 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Qualcomm® QCS8550 (Proxy) 0.483 ms 0 - 1 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Qualcomm® SA8775P 0.662 ms 0 - 24 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Qualcomm® QCS9075 0.57 ms 0 - 2 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Qualcomm® QCM6690 1.341 ms 0 - 21 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Qualcomm® QCS8450 (Proxy) 0.546 ms 0 - 32 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Qualcomm® SA7255P 1.065 ms 0 - 24 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Qualcomm® SA8295P 0.841 ms 0 - 20 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.266 ms 0 - 26 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Snapdragon® 7 Gen 4 Mobile 0.475 ms 0 - 21 MB NPU
Shufflenet-v2 TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 0.29 ms 0 - 32 MB NPU
Shufflenet-v2 TFLITE float Snapdragon® 8 Gen 3 Mobile 0.51 ms 0 - 40 MB NPU
Shufflenet-v2 TFLITE float Qualcomm® QCS8275 (Proxy) 1.759 ms 0 - 28 MB NPU
Shufflenet-v2 TFLITE float Qualcomm® QCS8550 (Proxy) 0.792 ms 0 - 15 MB NPU
Shufflenet-v2 TFLITE float Qualcomm® SA8775P 1.048 ms 0 - 30 MB NPU
Shufflenet-v2 TFLITE float Qualcomm® QCS9075 0.896 ms 0 - 6 MB NPU
Shufflenet-v2 TFLITE float Qualcomm® QCS8450 (Proxy) 1.369 ms 0 - 40 MB NPU
Shufflenet-v2 TFLITE float Qualcomm® SA7255P 1.759 ms 0 - 28 MB NPU
Shufflenet-v2 TFLITE float Qualcomm® SA8295P 1.258 ms 0 - 25 MB NPU
Shufflenet-v2 TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 0.373 ms 0 - 28 MB NPU
Shufflenet-v2 TFLITE w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.255 ms 0 - 26 MB NPU
Shufflenet-v2 TFLITE w8a8 Snapdragon® 8 Gen 3 Mobile 0.316 ms 0 - 33 MB NPU
Shufflenet-v2 TFLITE w8a8 Qualcomm® QCS6490 0.888 ms 0 - 4 MB NPU
Shufflenet-v2 TFLITE w8a8 Qualcomm® QCS8275 (Proxy) 1.031 ms 0 - 24 MB NPU
Shufflenet-v2 TFLITE w8a8 Qualcomm® QCS8550 (Proxy) 0.451 ms 0 - 2 MB NPU
Shufflenet-v2 TFLITE w8a8 Qualcomm® SA8775P 0.649 ms 0 - 25 MB NPU
Shufflenet-v2 TFLITE w8a8 Qualcomm® QCS9075 0.561 ms 0 - 4 MB NPU
Shufflenet-v2 TFLITE w8a8 Qualcomm® QCM6690 1.093 ms 12 - 34 MB NPU
Shufflenet-v2 TFLITE w8a8 Qualcomm® QCS8450 (Proxy) 0.516 ms 0 - 33 MB NPU
Shufflenet-v2 TFLITE w8a8 Qualcomm® SA7255P 1.031 ms 0 - 24 MB NPU
Shufflenet-v2 TFLITE w8a8 Qualcomm® SA8295P 0.808 ms 0 - 22 MB NPU
Shufflenet-v2 TFLITE w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.27 ms 0 - 27 MB NPU
Shufflenet-v2 TFLITE w8a8 Snapdragon® 7 Gen 4 Mobile 0.445 ms 0 - 22 MB NPU

License

  • The license for the original implementation of Shufflenet-v2 can be found here.

References

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Paper for qualcomm/Shufflenet-v2