MobileNet-v3-Large: Optimized for Qualcomm Devices

MobileNet-v3-Large 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 MobileNet-v3-Large 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 1.24.1 Download
ONNX w8a16 Universal QAIRT 2.42, ONNX Runtime 1.24.1 Download
QNN_DLC float Universal QAIRT 2.43 Download
QNN_DLC w8a16 Universal QAIRT 2.43 Download
TFLITE float Universal QAIRT 2.43, TFLite 2.17.0 Download

For more device-specific assets and performance metrics, visit MobileNet-v3-Large 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 MobileNet-v3-Large 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: 5.47M
  • Model size (float): 20.9 MB
  • Model size (w8a16): 6.35 MB

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
MobileNet-v3-Large ONNX float Snapdragon® X Elite 0.864 ms 12 - 12 MB NPU
MobileNet-v3-Large ONNX float Snapdragon® 8 Gen 3 Mobile 0.497 ms 0 - 58 MB NPU
MobileNet-v3-Large ONNX float Qualcomm® QCS8550 (Proxy) 0.711 ms 1 - 2 MB NPU
MobileNet-v3-Large ONNX float Qualcomm® QCS9075 1.004 ms 1 - 3 MB NPU
MobileNet-v3-Large ONNX float Snapdragon® 8 Elite For Galaxy Mobile 0.401 ms 0 - 34 MB NPU
MobileNet-v3-Large ONNX float Snapdragon® 8 Elite Gen 5 Mobile 0.357 ms 0 - 37 MB NPU
MobileNet-v3-Large ONNX float Snapdragon® X2 Elite 0.336 ms 13 - 13 MB NPU
MobileNet-v3-Large ONNX w8a16 Snapdragon® X Elite 0.849 ms 6 - 6 MB NPU
MobileNet-v3-Large ONNX w8a16 Snapdragon® 8 Gen 3 Mobile 0.476 ms 0 - 57 MB NPU
MobileNet-v3-Large ONNX w8a16 Qualcomm® QCS6490 54.676 ms 27 - 31 MB CPU
MobileNet-v3-Large ONNX w8a16 Qualcomm® QCS8550 (Proxy) 0.682 ms 0 - 36 MB NPU
MobileNet-v3-Large ONNX w8a16 Qualcomm® QCS9075 0.862 ms 0 - 3 MB NPU
MobileNet-v3-Large ONNX w8a16 Qualcomm® QCM6690 20.309 ms 23 - 32 MB CPU
MobileNet-v3-Large ONNX w8a16 Snapdragon® 8 Elite For Galaxy Mobile 0.368 ms 0 - 36 MB NPU
MobileNet-v3-Large ONNX w8a16 Snapdragon® 7 Gen 4 Mobile 14.503 ms 24 - 33 MB CPU
MobileNet-v3-Large ONNX w8a16 Snapdragon® 8 Elite Gen 5 Mobile 0.292 ms 0 - 41 MB NPU
MobileNet-v3-Large ONNX w8a16 Snapdragon® X2 Elite 0.319 ms 6 - 6 MB NPU
MobileNet-v3-Large QNN_DLC float Snapdragon® X Elite 1.215 ms 1 - 1 MB NPU
MobileNet-v3-Large QNN_DLC float Snapdragon® 8 Gen 3 Mobile 0.686 ms 0 - 54 MB NPU
MobileNet-v3-Large QNN_DLC float Qualcomm® QCS8275 (Proxy) 2.985 ms 0 - 35 MB NPU
MobileNet-v3-Large QNN_DLC float Qualcomm® QCS8550 (Proxy) 1.045 ms 1 - 2 MB NPU
MobileNet-v3-Large QNN_DLC float Qualcomm® SA8775P 1.39 ms 0 - 37 MB NPU
MobileNet-v3-Large QNN_DLC float Qualcomm® QCS9075 1.224 ms 1 - 3 MB NPU
MobileNet-v3-Large QNN_DLC float Qualcomm® QCS8450 (Proxy) 1.906 ms 0 - 58 MB NPU
MobileNet-v3-Large QNN_DLC float Qualcomm® SA7255P 2.985 ms 0 - 35 MB NPU
MobileNet-v3-Large QNN_DLC float Qualcomm® SA8295P 1.869 ms 0 - 35 MB NPU
MobileNet-v3-Large QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 0.527 ms 1 - 40 MB NPU
MobileNet-v3-Large QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 0.443 ms 1 - 40 MB NPU
MobileNet-v3-Large QNN_DLC float Snapdragon® X2 Elite 0.598 ms 1 - 1 MB NPU
MobileNet-v3-Large QNN_DLC w8a16 Snapdragon® X Elite 1.098 ms 0 - 0 MB NPU
MobileNet-v3-Large QNN_DLC w8a16 Snapdragon® 8 Gen 3 Mobile 0.655 ms 0 - 48 MB NPU
MobileNet-v3-Large QNN_DLC w8a16 Qualcomm® QCS6490 2.675 ms 0 - 2 MB NPU
MobileNet-v3-Large QNN_DLC w8a16 Qualcomm® QCS8275 (Proxy) 2.084 ms 0 - 32 MB NPU
MobileNet-v3-Large QNN_DLC w8a16 Qualcomm® QCS8550 (Proxy) 0.929 ms 0 - 2 MB NPU
MobileNet-v3-Large QNN_DLC w8a16 Qualcomm® SA8775P 1.161 ms 0 - 36 MB NPU
MobileNet-v3-Large QNN_DLC w8a16 Qualcomm® QCS9075 1.165 ms 0 - 2 MB NPU
MobileNet-v3-Large QNN_DLC w8a16 Qualcomm® QCM6690 4.047 ms 0 - 147 MB NPU
MobileNet-v3-Large QNN_DLC w8a16 Qualcomm® QCS8450 (Proxy) 1.231 ms 0 - 51 MB NPU
MobileNet-v3-Large QNN_DLC w8a16 Qualcomm® SA7255P 2.084 ms 0 - 32 MB NPU
MobileNet-v3-Large QNN_DLC w8a16 Qualcomm® SA8295P 1.647 ms 0 - 32 MB NPU
MobileNet-v3-Large QNN_DLC w8a16 Snapdragon® 8 Elite For Galaxy Mobile 0.46 ms 0 - 35 MB NPU
MobileNet-v3-Large QNN_DLC w8a16 Snapdragon® 7 Gen 4 Mobile 0.988 ms 0 - 32 MB NPU
MobileNet-v3-Large QNN_DLC w8a16 Snapdragon® 8 Elite Gen 5 Mobile 0.371 ms 0 - 35 MB NPU
MobileNet-v3-Large QNN_DLC w8a16 Snapdragon® X2 Elite 0.531 ms 0 - 0 MB NPU
MobileNet-v3-Large TFLITE float Snapdragon® 8 Gen 3 Mobile 0.703 ms 0 - 61 MB NPU
MobileNet-v3-Large TFLITE float Qualcomm® QCS8275 (Proxy) 3.052 ms 0 - 40 MB NPU
MobileNet-v3-Large TFLITE float Qualcomm® QCS8550 (Proxy) 1.061 ms 0 - 7 MB NPU
MobileNet-v3-Large TFLITE float Qualcomm® SA8775P 1.424 ms 0 - 43 MB NPU
MobileNet-v3-Large TFLITE float Qualcomm® QCS9075 1.273 ms 0 - 15 MB NPU
MobileNet-v3-Large TFLITE float Qualcomm® QCS8450 (Proxy) 1.935 ms 0 - 64 MB NPU
MobileNet-v3-Large TFLITE float Qualcomm® SA7255P 3.052 ms 0 - 40 MB NPU
MobileNet-v3-Large TFLITE float Qualcomm® SA8295P 1.881 ms 0 - 41 MB NPU
MobileNet-v3-Large TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 0.534 ms 0 - 45 MB NPU
MobileNet-v3-Large TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 0.443 ms 0 - 45 MB NPU

License

  • The license for the original implementation of MobileNet-v3-Large can be found here.

References

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Paper for qualcomm/MobileNet-v3-Large