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 2.45 Download
QNN_DLC w8a8 Universal QAIRT 2.45 Download
TFLITE float Universal QAIRT 2.45 Download
TFLITE w8a8 Universal QAIRT 2.45 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 0 - 32 MB NPU
Shufflenet-v2 ONNX float Snapdragon® X2 Elite 0.425 ms 0 - 0 MB NPU
Shufflenet-v2 ONNX float Snapdragon® X Elite 0.966 ms 2 - 2 MB NPU
Shufflenet-v2 ONNX float Snapdragon® 8 Gen 3 Mobile 0.51 ms 0 - 41 MB NPU
Shufflenet-v2 ONNX float Qualcomm® QCS8550 (Proxy) 0.819 ms 0 - 5 MB NPU
Shufflenet-v2 ONNX float Qualcomm® QCS9075 0.995 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 0.34 ms 0 - 31 MB NPU
Shufflenet-v2 ONNX w8a8 Snapdragon® X2 Elite 0.332 ms 0 - 0 MB NPU
Shufflenet-v2 ONNX w8a8 Snapdragon® X Elite 0.709 ms 0 - 0 MB NPU
Shufflenet-v2 ONNX w8a8 Snapdragon® 8 Gen 3 Mobile 0.411 ms 0 - 37 MB NPU
Shufflenet-v2 ONNX w8a8 Qualcomm® QCS6490 3.231 ms 4 - 7 MB CPU
Shufflenet-v2 ONNX w8a8 Qualcomm® QCS8550 (Proxy) 0.576 ms 0 - 13 MB NPU
Shufflenet-v2 ONNX w8a8 Qualcomm® QCS9075 0.686 ms 0 - 3 MB NPU
Shufflenet-v2 ONNX w8a8 Qualcomm® QCM6690 2.196 ms 0 - 9 MB CPU
Shufflenet-v2 ONNX w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.356 ms 0 - 32 MB NPU
Shufflenet-v2 ONNX w8a8 Snapdragon® 7 Gen 4 Mobile 1.478 ms 0 - 9 MB CPU
Shufflenet-v2 QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 0.279 ms 1 - 31 MB NPU
Shufflenet-v2 QNN_DLC float Snapdragon® X2 Elite 0.393 ms 1 - 1 MB NPU
Shufflenet-v2 QNN_DLC float Snapdragon® X Elite 0.951 ms 1 - 1 MB NPU
Shufflenet-v2 QNN_DLC float Snapdragon® 8 Gen 3 Mobile 0.504 ms 0 - 39 MB NPU
Shufflenet-v2 QNN_DLC float Qualcomm® QCS8275 (Proxy) 1.728 ms 1 - 27 MB NPU
Shufflenet-v2 QNN_DLC float Qualcomm® QCS8550 (Proxy) 0.783 ms 1 - 2 MB NPU
Shufflenet-v2 QNN_DLC float Qualcomm® SA8775P 1.003 ms 0 - 28 MB NPU
Shufflenet-v2 QNN_DLC float Qualcomm® QCS9075 0.883 ms 1 - 3 MB NPU
Shufflenet-v2 QNN_DLC float Qualcomm® QCS8450 (Proxy) 1.36 ms 0 - 40 MB NPU
Shufflenet-v2 QNN_DLC float Qualcomm® SA7255P 1.728 ms 1 - 27 MB NPU
Shufflenet-v2 QNN_DLC float Qualcomm® SA8295P 1.247 ms 0 - 24 MB NPU
Shufflenet-v2 QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 0.361 ms 0 - 26 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.21 ms 0 - 26 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Snapdragon® X2 Elite 0.307 ms 0 - 0 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Snapdragon® X Elite 0.598 ms 0 - 0 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Snapdragon® 8 Gen 3 Mobile 0.338 ms 0 - 32 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Qualcomm® QCS6490 1.171 ms 0 - 2 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Qualcomm® QCS8275 (Proxy) 1.068 ms 0 - 23 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Qualcomm® QCS8550 (Proxy) 0.47 ms 0 - 28 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Qualcomm® SA8775P 0.641 ms 0 - 25 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Qualcomm® QCS9075 0.56 ms 0 - 2 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Qualcomm® QCM6690 1.333 ms 0 - 22 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Qualcomm® QCS8450 (Proxy) 0.541 ms 0 - 32 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Qualcomm® SA7255P 1.068 ms 0 - 23 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Qualcomm® SA8295P 0.826 ms 0 - 22 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.26 ms 0 - 27 MB NPU
Shufflenet-v2 QNN_DLC w8a8 Snapdragon® 7 Gen 4 Mobile 0.459 ms 0 - 22 MB NPU
Shufflenet-v2 TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 0.281 ms 0 - 30 MB NPU
Shufflenet-v2 TFLITE float Snapdragon® 8 Gen 3 Mobile 0.499 ms 0 - 39 MB NPU
Shufflenet-v2 TFLITE float Qualcomm® QCS8275 (Proxy) 1.736 ms 0 - 27 MB NPU
Shufflenet-v2 TFLITE float Qualcomm® QCS8550 (Proxy) 0.777 ms 0 - 18 MB NPU
Shufflenet-v2 TFLITE float Qualcomm® SA8775P 1.02 ms 0 - 29 MB NPU
Shufflenet-v2 TFLITE float Qualcomm® QCS9075 0.887 ms 0 - 6 MB NPU
Shufflenet-v2 TFLITE float Qualcomm® QCS8450 (Proxy) 1.367 ms 0 - 39 MB NPU
Shufflenet-v2 TFLITE float Qualcomm® SA7255P 1.736 ms 0 - 27 MB NPU
Shufflenet-v2 TFLITE float Qualcomm® SA8295P 1.255 ms 0 - 24 MB NPU
Shufflenet-v2 TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 0.367 ms 0 - 27 MB NPU
Shufflenet-v2 TFLITE w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.252 ms 0 - 27 MB NPU
Shufflenet-v2 TFLITE w8a8 Snapdragon® 8 Gen 3 Mobile 0.321 ms 0 - 32 MB NPU
Shufflenet-v2 TFLITE w8a8 Qualcomm® QCS6490 0.875 ms 0 - 4 MB NPU
Shufflenet-v2 TFLITE w8a8 Qualcomm® QCS8275 (Proxy) 1.038 ms 0 - 23 MB NPU
Shufflenet-v2 TFLITE w8a8 Qualcomm® QCS8550 (Proxy) 0.456 ms 0 - 1 MB NPU
Shufflenet-v2 TFLITE w8a8 Qualcomm® SA8775P 0.651 ms 0 - 26 MB NPU
Shufflenet-v2 TFLITE w8a8 Qualcomm® QCS9075 0.568 ms 0 - 3 MB NPU
Shufflenet-v2 TFLITE w8a8 Qualcomm® QCM6690 1.061 ms 0 - 23 MB NPU
Shufflenet-v2 TFLITE w8a8 Qualcomm® QCS8450 (Proxy) 0.512 ms 0 - 33 MB NPU
Shufflenet-v2 TFLITE w8a8 Qualcomm® SA7255P 1.038 ms 0 - 23 MB NPU
Shufflenet-v2 TFLITE w8a8 Qualcomm® SA8295P 0.821 ms 0 - 21 MB NPU
Shufflenet-v2 TFLITE w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.273 ms 0 - 24 MB NPU
Shufflenet-v2 TFLITE w8a8 Snapdragon® 7 Gen 4 Mobile 0.442 ms 0 - 23 MB NPU

License

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

References

Community

Downloads last month

-

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

Paper for qualcomm/Shufflenet-v2