Hugging Face's logo

qualcomm
/
GPUNet

Image Classification
PyTorch
backbone
bu_auto
android
Model card Files
xet
 Community

GPUNet: Optimized for Qualcomm Devices

GPUNet 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 GPUNet 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 w8a16 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 w8a16 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 GPUNet 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 GPUNet 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: 10.49M
  • Model size (float): 45.28MB
  • Model size (w8a8): 21.3MB

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
GPUNet ONNX float Snapdragon® 8 Elite Gen 5 Mobile 0.503 ms 0 - 36 MB NPU
GPUNet ONNX float Snapdragon® 8 Elite Mobile 0.605 ms 0 - 36 MB NPU
GPUNet ONNX float Snapdragon® X2 Elite 0.483 ms 24 - 24 MB NPU
GPUNet ONNX float Snapdragon® X Elite 1.149 ms 24 - 24 MB NPU
GPUNet ONNX float Snapdragon® X Elite 1.149 ms 24 - 24 MB NPU
GPUNet ONNX float Snapdragon® 8 Gen 3 Mobile 0.778 ms 0 - 62 MB NPU
GPUNet ONNX float Qualcomm® QCS8550 (Proxy) 1.039 ms 0 - 2 MB NPU
GPUNet ONNX float Qualcomm® QCS9075 1.353 ms 1 - 3 MB NPU
GPUNet ONNX float Snapdragon® 8 Elite For Galaxy Mobile 0.605 ms 0 - 36 MB NPU
GPUNet ONNX w8a16 Snapdragon® 8 Elite Gen 5 Mobile 0.355 ms 0 - 48 MB NPU
GPUNet ONNX w8a16 Snapdragon® 8 Elite Mobile 0.433 ms 0 - 42 MB NPU
GPUNet ONNX w8a16 Snapdragon® X2 Elite 0.384 ms 12 - 12 MB NPU
GPUNet ONNX w8a16 Snapdragon® X Elite 0.974 ms 12 - 12 MB NPU
GPUNet ONNX w8a16 Snapdragon® X Elite 0.974 ms 12 - 12 MB NPU
GPUNet ONNX w8a16 Snapdragon® 8 Gen 3 Mobile 0.6 ms 0 - 61 MB NPU
GPUNet ONNX w8a16 Qualcomm® QCS6490 98.025 ms 25 - 33 MB CPU
GPUNet ONNX w8a16 Qualcomm® QCS8550 (Proxy) 0.825 ms 0 - 16 MB NPU
GPUNet ONNX w8a16 Qualcomm® QCS9075 0.98 ms 0 - 3 MB NPU
GPUNet ONNX w8a16 Qualcomm® QCM6690 49.714 ms 29 - 37 MB CPU
GPUNet ONNX w8a16 Snapdragon® 8 Elite For Galaxy Mobile 0.433 ms 0 - 42 MB NPU
GPUNet ONNX w8a16 Snapdragon® 7 Gen 4 Mobile 38.185 ms 29 - 37 MB CPU
GPUNet ONNX w8a16 Snapdragon® 7 Gen 4 Mobile 38.185 ms 29 - 37 MB CPU
GPUNet ONNX w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.358 ms 0 - 48 MB NPU
GPUNet ONNX w8a8 Snapdragon® 8 Elite Mobile 0.395 ms 0 - 44 MB NPU
GPUNet ONNX w8a8 Snapdragon® X2 Elite 0.308 ms 12 - 12 MB NPU
GPUNet ONNX w8a8 Snapdragon® X Elite 0.722 ms 12 - 12 MB NPU
GPUNet ONNX w8a8 Snapdragon® X Elite 0.722 ms 12 - 12 MB NPU
GPUNet ONNX w8a8 Snapdragon® 8 Gen 3 Mobile 0.462 ms 0 - 62 MB NPU
GPUNet ONNX w8a8 Qualcomm® QCS6490 16.619 ms 1 - 14 MB CPU
GPUNet ONNX w8a8 Qualcomm® QCS8550 (Proxy) 0.616 ms 0 - 22 MB NPU
GPUNet ONNX w8a8 Qualcomm® QCS9075 0.723 ms 0 - 3 MB NPU
GPUNet ONNX w8a8 Qualcomm® QCM6690 10.202 ms 7 - 15 MB CPU
GPUNet ONNX w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.395 ms 0 - 44 MB NPU
GPUNet ONNX w8a8 Snapdragon® 7 Gen 4 Mobile 7.765 ms 7 - 16 MB CPU
GPUNet ONNX w8a8 Snapdragon® 7 Gen 4 Mobile 7.765 ms 7 - 16 MB CPU
GPUNet QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 0.567 ms 1 - 35 MB NPU
GPUNet QNN_DLC float Snapdragon® 8 Elite Mobile 0.711 ms 0 - 30 MB NPU
GPUNet QNN_DLC float Snapdragon® X2 Elite 0.648 ms 1 - 1 MB NPU
GPUNet QNN_DLC float Snapdragon® X Elite 1.4 ms 1 - 1 MB NPU
GPUNet QNN_DLC float Snapdragon® X Elite 1.4 ms 1 - 1 MB NPU
GPUNet QNN_DLC float Snapdragon® 8 Gen 3 Mobile 0.917 ms 0 - 56 MB NPU
GPUNet QNN_DLC float Qualcomm® QCS8275 (Proxy) 4.684 ms 0 - 30 MB NPU
GPUNet QNN_DLC float Qualcomm® QCS8550 (Proxy) 1.271 ms 0 - 6 MB NPU
GPUNet QNN_DLC float Qualcomm® SA8775P 1.718 ms 1 - 33 MB NPU
GPUNet QNN_DLC float Qualcomm® SA8775P 1.718 ms 1 - 33 MB NPU
GPUNet QNN_DLC float Qualcomm® SA8775P 1.718 ms 1 - 33 MB NPU
GPUNet QNN_DLC float Qualcomm® QCS9075 1.572 ms 1 - 3 MB NPU
GPUNet QNN_DLC float Qualcomm® QCS8450 (Proxy) 2.416 ms 0 - 62 MB NPU
GPUNet QNN_DLC float Qualcomm® SA7255P 4.684 ms 0 - 30 MB NPU
GPUNet QNN_DLC float Qualcomm® SA8295P 2.286 ms 0 - 32 MB NPU
GPUNet QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 0.711 ms 0 - 30 MB NPU
GPUNet QNN_DLC w8a16 Snapdragon® 8 Elite Gen 5 Mobile 0.432 ms 0 - 44 MB NPU
GPUNet QNN_DLC w8a16 Snapdragon® 8 Elite Mobile 0.522 ms 0 - 41 MB NPU
GPUNet QNN_DLC w8a16 Snapdragon® X2 Elite 0.558 ms 0 - 0 MB NPU
GPUNet QNN_DLC w8a16 Snapdragon® X Elite 1.239 ms 0 - 0 MB NPU
GPUNet QNN_DLC w8a16 Snapdragon® X Elite 1.239 ms 0 - 0 MB NPU
GPUNet QNN_DLC w8a16 Snapdragon® 8 Gen 3 Mobile 0.765 ms 0 - 58 MB NPU
GPUNet QNN_DLC w8a16 Qualcomm® QCS6490 3.256 ms 0 - 2 MB NPU
GPUNet QNN_DLC w8a16 Qualcomm® QCS8275 (Proxy) 2.452 ms 0 - 42 MB NPU
GPUNet QNN_DLC w8a16 Qualcomm® QCS8550 (Proxy) 1.069 ms 0 - 2 MB NPU
GPUNet QNN_DLC w8a16 Qualcomm® SA8775P 1.272 ms 0 - 44 MB NPU
GPUNet QNN_DLC w8a16 Qualcomm® SA8775P 1.272 ms 0 - 44 MB NPU
GPUNet QNN_DLC w8a16 Qualcomm® SA8775P 1.272 ms 0 - 44 MB NPU
GPUNet QNN_DLC w8a16 Qualcomm® QCS9075 1.228 ms 2 - 4 MB NPU
GPUNet QNN_DLC w8a16 Qualcomm® QCM6690 6.511 ms 0 - 165 MB NPU
GPUNet QNN_DLC w8a16 Qualcomm® QCS8450 (Proxy) 1.431 ms 0 - 61 MB NPU
GPUNet QNN_DLC w8a16 Qualcomm® SA7255P 2.452 ms 0 - 42 MB NPU
GPUNet QNN_DLC w8a16 Qualcomm® SA8295P 1.678 ms 0 - 39 MB NPU
GPUNet QNN_DLC w8a16 Snapdragon® 8 Elite For Galaxy Mobile 0.522 ms 0 - 41 MB NPU
GPUNet QNN_DLC w8a16 Snapdragon® 7 Gen 4 Mobile 1.287 ms 0 - 43 MB NPU
GPUNet QNN_DLC w8a16 Snapdragon® 7 Gen 4 Mobile 1.287 ms 0 - 43 MB NPU
GPUNet QNN_DLC w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.295 ms 0 - 44 MB NPU
GPUNet QNN_DLC w8a8 Snapdragon® 8 Elite Mobile 0.339 ms 0 - 37 MB NPU
GPUNet QNN_DLC w8a8 Snapdragon® X2 Elite 0.347 ms 0 - 0 MB NPU
GPUNet QNN_DLC w8a8 Snapdragon® X Elite 0.712 ms 0 - 0 MB NPU
GPUNet QNN_DLC w8a8 Snapdragon® X Elite 0.712 ms 0 - 0 MB NPU
GPUNet QNN_DLC w8a8 Snapdragon® 8 Gen 3 Mobile 0.462 ms 0 - 55 MB NPU
GPUNet QNN_DLC w8a8 Qualcomm® QCS6490 2.005 ms 2 - 4 MB NPU
GPUNet QNN_DLC w8a8 Qualcomm® QCS8275 (Proxy) 1.415 ms 0 - 38 MB NPU
GPUNet QNN_DLC w8a8 Qualcomm® QCS8550 (Proxy) 0.611 ms 0 - 2 MB NPU
GPUNet QNN_DLC w8a8 Qualcomm® SA8775P 0.798 ms 0 - 40 MB NPU
GPUNet QNN_DLC w8a8 Qualcomm® SA8775P 0.798 ms 0 - 40 MB NPU
GPUNet QNN_DLC w8a8 Qualcomm® SA8775P 0.798 ms 0 - 40 MB NPU
GPUNet QNN_DLC w8a8 Qualcomm® QCS9075 0.691 ms 2 - 4 MB NPU
GPUNet QNN_DLC w8a8 Qualcomm® QCM6690 3.502 ms 0 - 42 MB NPU
GPUNet QNN_DLC w8a8 Qualcomm® QCS8450 (Proxy) 0.857 ms 0 - 58 MB NPU
GPUNet QNN_DLC w8a8 Qualcomm® SA7255P 1.415 ms 0 - 38 MB NPU
GPUNet QNN_DLC w8a8 Qualcomm® SA8295P 1.123 ms 0 - 37 MB NPU
GPUNet QNN_DLC w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.339 ms 0 - 37 MB NPU
GPUNet QNN_DLC w8a8 Snapdragon® 7 Gen 4 Mobile 0.783 ms 0 - 40 MB NPU
GPUNet QNN_DLC w8a8 Snapdragon® 7 Gen 4 Mobile 0.783 ms 0 - 40 MB NPU
GPUNet TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 0.559 ms 0 - 47 MB NPU
GPUNet TFLITE float Snapdragon® 8 Elite Mobile 0.698 ms 0 - 42 MB NPU
GPUNet TFLITE float Snapdragon® 8 Gen 3 Mobile 0.903 ms 0 - 74 MB NPU
GPUNet TFLITE float Qualcomm® QCS8275 (Proxy) 4.739 ms 0 - 43 MB NPU
GPUNet TFLITE float Qualcomm® QCS8550 (Proxy) 1.263 ms 0 - 31 MB NPU
GPUNet TFLITE float Qualcomm® SA8775P 1.754 ms 0 - 46 MB NPU
GPUNet TFLITE float Qualcomm® SA8775P 1.754 ms 0 - 46 MB NPU
GPUNet TFLITE float Qualcomm® SA8775P 1.754 ms 0 - 46 MB NPU
GPUNet TFLITE float Qualcomm® QCS9075 1.576 ms 0 - 27 MB NPU
GPUNet TFLITE float Qualcomm® QCS8450 (Proxy) 2.41 ms 0 - 79 MB NPU
GPUNet TFLITE float Qualcomm® SA7255P 4.739 ms 0 - 43 MB NPU
GPUNet TFLITE float Qualcomm® SA8295P 2.264 ms 0 - 44 MB NPU
GPUNet TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 0.698 ms 0 - 42 MB NPU
GPUNet TFLITE w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.237 ms 0 - 45 MB NPU
GPUNet TFLITE w8a8 Snapdragon® 8 Elite Mobile 0.274 ms 0 - 39 MB NPU
GPUNet TFLITE w8a8 Snapdragon® 8 Gen 3 Mobile 0.344 ms 0 - 55 MB NPU
GPUNet TFLITE w8a8 Qualcomm® QCS6490 1.583 ms 0 - 15 MB NPU
GPUNet TFLITE w8a8 Qualcomm® QCS8275 (Proxy) 1.119 ms 0 - 39 MB NPU
GPUNet TFLITE w8a8 Qualcomm® QCS8550 (Proxy) 0.43 ms 0 - 2 MB NPU
GPUNet TFLITE w8a8 Qualcomm® SA8775P 0.63 ms 0 - 42 MB NPU
GPUNet TFLITE w8a8 Qualcomm® SA8775P 0.63 ms 0 - 42 MB NPU
GPUNet TFLITE w8a8 Qualcomm® SA8775P 0.63 ms 0 - 42 MB NPU
GPUNet TFLITE w8a8 Qualcomm® QCS9075 0.529 ms 0 - 14 MB NPU
GPUNet TFLITE w8a8 Qualcomm® QCM6690 3.051 ms 0 - 41 MB NPU
GPUNet TFLITE w8a8 Qualcomm® QCS8450 (Proxy) 0.687 ms 0 - 57 MB NPU
GPUNet TFLITE w8a8 Qualcomm® SA7255P 1.119 ms 0 - 39 MB NPU
GPUNet TFLITE w8a8 Qualcomm® SA8295P 0.917 ms 0 - 36 MB NPU
GPUNet TFLITE w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.274 ms 0 - 39 MB NPU
GPUNet TFLITE w8a8 Snapdragon® 7 Gen 4 Mobile 0.616 ms 0 - 39 MB NPU
GPUNet TFLITE w8a8 Snapdragon® 7 Gen 4 Mobile 0.616 ms 0 - 39 MB NPU

License

  • The license for the original implementation of GPUNet 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/GPUNet