Inception-v3: Optimized for Qualcomm Devices

InceptionNetV3 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 Inception-v3 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 2.37, ONNX Runtime 1.23.0 Download
ONNX w8a8 Universal QAIRT 2.37, ONNX Runtime 1.23.0 Download
QNN_DLC float Universal QAIRT 2.42 Download
QNN_DLC w8a8 Universal QAIRT 2.42 Download
TFLITE float Universal QAIRT 2.42, TFLite 2.17.0 Download
TFLITE w8a8 Universal QAIRT 2.42, TFLite 2.17.0 Download

For more device-specific assets and performance metrics, visit Inception-v3 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 Inception-v3 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: 23.9M
  • Model size (float): 90.9 MB
  • Model size (w8a8): 23.3 MB

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
Inception-v3 ONNX float Snapdragon® X Elite 1.518 ms 46 - 46 MB NPU
Inception-v3 ONNX float Snapdragon® 8 Gen 3 Mobile 1.26 ms 0 - 122 MB NPU
Inception-v3 ONNX float Qualcomm® QCS8550 (Proxy) 1.66 ms 0 - 54 MB NPU
Inception-v3 ONNX float Qualcomm® QCS9075 2.373 ms 0 - 4 MB NPU
Inception-v3 ONNX float Snapdragon® 8 Elite For Galaxy Mobile 1.04 ms 0 - 102 MB NPU
Inception-v3 ONNX float Snapdragon® 8 Elite Gen 5 Mobile 0.917 ms 0 - 103 MB NPU
Inception-v3 ONNX w8a8 Snapdragon® X Elite 0.702 ms 24 - 24 MB NPU
Inception-v3 ONNX w8a8 Snapdragon® 8 Gen 3 Mobile 0.672 ms 0 - 162 MB NPU
Inception-v3 ONNX w8a8 Qualcomm® QCS6490 24.544 ms 8 - 41 MB CPU
Inception-v3 ONNX w8a8 Qualcomm® QCS8550 (Proxy) 0.86 ms 0 - 225 MB NPU
Inception-v3 ONNX w8a8 Qualcomm® QCS9075 0.947 ms 0 - 3 MB NPU
Inception-v3 ONNX w8a8 Qualcomm® QCM6690 17.95 ms 10 - 20 MB CPU
Inception-v3 ONNX w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.557 ms 0 - 123 MB NPU
Inception-v3 ONNX w8a8 Snapdragon® 7 Gen 4 Mobile 13.886 ms 10 - 20 MB CPU
Inception-v3 ONNX w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.521 ms 0 - 124 MB NPU
Inception-v3 QNN_DLC float Snapdragon® X Elite 1.426 ms 1 - 1 MB NPU
Inception-v3 QNN_DLC float Snapdragon® 8 Gen 3 Mobile 1.02 ms 0 - 56 MB NPU
Inception-v3 QNN_DLC float Qualcomm® QCS8275 (Proxy) 7.735 ms 1 - 32 MB NPU
Inception-v3 QNN_DLC float Qualcomm® QCS8550 (Proxy) 1.374 ms 1 - 192 MB NPU
Inception-v3 QNN_DLC float Qualcomm® SA8775P 2.203 ms 0 - 35 MB NPU
Inception-v3 QNN_DLC float Qualcomm® QCS9075 2.048 ms 1 - 3 MB NPU
Inception-v3 QNN_DLC float Qualcomm® QCS8450 (Proxy) 2.342 ms 0 - 55 MB NPU
Inception-v3 QNN_DLC float Qualcomm® SA7255P 7.735 ms 1 - 32 MB NPU
Inception-v3 QNN_DLC float Qualcomm® SA8295P 2.628 ms 0 - 31 MB NPU
Inception-v3 QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 0.849 ms 1 - 35 MB NPU
Inception-v3 QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 0.764 ms 1 - 37 MB NPU
Inception-v3 QNN_DLC w8a8 Snapdragon® X Elite 0.693 ms 0 - 0 MB NPU
Inception-v3 QNN_DLC w8a8 Snapdragon® 8 Gen 3 Mobile 0.48 ms 0 - 77 MB NPU
Inception-v3 QNN_DLC w8a8 Qualcomm® QCS6490 2.29 ms 0 - 2 MB NPU
Inception-v3 QNN_DLC w8a8 Qualcomm® QCS8275 (Proxy) 1.527 ms 0 - 47 MB NPU
Inception-v3 QNN_DLC w8a8 Qualcomm® QCS8550 (Proxy) 0.629 ms 0 - 2 MB NPU
Inception-v3 QNN_DLC w8a8 Qualcomm® SA8775P 0.779 ms 0 - 51 MB NPU
Inception-v3 QNN_DLC w8a8 Qualcomm® QCS9075 0.62 ms 2 - 4 MB NPU
Inception-v3 QNN_DLC w8a8 Qualcomm® QCM6690 5.798 ms 0 - 50 MB NPU
Inception-v3 QNN_DLC w8a8 Qualcomm® QCS8450 (Proxy) 0.896 ms 0 - 74 MB NPU
Inception-v3 QNN_DLC w8a8 Qualcomm® SA7255P 1.527 ms 0 - 47 MB NPU
Inception-v3 QNN_DLC w8a8 Qualcomm® SA8295P 1.134 ms 0 - 45 MB NPU
Inception-v3 QNN_DLC w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.404 ms 0 - 47 MB NPU
Inception-v3 QNN_DLC w8a8 Snapdragon® 7 Gen 4 Mobile 0.983 ms 0 - 50 MB NPU
Inception-v3 QNN_DLC w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.368 ms 0 - 51 MB NPU
Inception-v3 TFLITE float Snapdragon® 8 Gen 3 Mobile 1.026 ms 0 - 125 MB NPU
Inception-v3 TFLITE float Qualcomm® QCS8275 (Proxy) 7.782 ms 0 - 73 MB NPU
Inception-v3 TFLITE float Qualcomm® QCS8550 (Proxy) 1.375 ms 0 - 3 MB NPU
Inception-v3 TFLITE float Qualcomm® SA8775P 2.238 ms 0 - 75 MB NPU
Inception-v3 TFLITE float Qualcomm® QCS9075 2.047 ms 0 - 48 MB NPU
Inception-v3 TFLITE float Qualcomm® QCS8450 (Proxy) 2.344 ms 0 - 126 MB NPU
Inception-v3 TFLITE float Qualcomm® SA7255P 7.782 ms 0 - 73 MB NPU
Inception-v3 TFLITE float Qualcomm® SA8295P 2.64 ms 0 - 69 MB NPU
Inception-v3 TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 0.871 ms 0 - 77 MB NPU
Inception-v3 TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 0.772 ms 0 - 77 MB NPU
Inception-v3 TFLITE w8a8 Snapdragon® 8 Gen 3 Mobile 0.484 ms 0 - 73 MB NPU
Inception-v3 TFLITE w8a8 Qualcomm® QCS6490 2.265 ms 0 - 25 MB NPU
Inception-v3 TFLITE w8a8 Qualcomm® QCS8275 (Proxy) 1.616 ms 0 - 47 MB NPU
Inception-v3 TFLITE w8a8 Qualcomm® QCS8550 (Proxy) 0.644 ms 0 - 2 MB NPU
Inception-v3 TFLITE w8a8 Qualcomm® SA8775P 0.852 ms 0 - 50 MB NPU
Inception-v3 TFLITE w8a8 Qualcomm® QCS9075 0.699 ms 0 - 25 MB NPU
Inception-v3 TFLITE w8a8 Qualcomm® QCM6690 5.787 ms 0 - 49 MB NPU
Inception-v3 TFLITE w8a8 Qualcomm® QCS8450 (Proxy) 0.945 ms 0 - 75 MB NPU
Inception-v3 TFLITE w8a8 Qualcomm® SA7255P 1.616 ms 0 - 47 MB NPU
Inception-v3 TFLITE w8a8 Qualcomm® SA8295P 1.251 ms 0 - 45 MB NPU
Inception-v3 TFLITE w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.432 ms 0 - 50 MB NPU
Inception-v3 TFLITE w8a8 Snapdragon® 7 Gen 4 Mobile 1.007 ms 0 - 48 MB NPU
Inception-v3 TFLITE w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.379 ms 0 - 50 MB NPU

License

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

References

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Paper for qualcomm/Inception-v3

qualcomm/Inception-v3 · Hugging Face

Inception-v3: Optimized for Qualcomm Devices

InceptionNetV3 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 Inception-v3 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 2.37, ONNX Runtime 1.23.0 Download
ONNX w8a8 Universal QAIRT 2.37, ONNX Runtime 1.23.0 Download
QNN_DLC float Universal QAIRT 2.42 Download
QNN_DLC w8a8 Universal QAIRT 2.42 Download
TFLITE float Universal QAIRT 2.42, TFLite 2.17.0 Download
TFLITE w8a8 Universal QAIRT 2.42, TFLite 2.17.0 Download

For more device-specific assets and performance metrics, visit Inception-v3 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 Inception-v3 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: 23.9M
  • Model size (float): 90.9 MB
  • Model size (w8a8): 23.3 MB

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
Inception-v3 ONNX float Snapdragon® X Elite 1.518 ms 46 - 46 MB NPU
Inception-v3 ONNX float Snapdragon® 8 Gen 3 Mobile 1.26 ms 0 - 122 MB NPU
Inception-v3 ONNX float Qualcomm® QCS8550 (Proxy) 1.66 ms 0 - 54 MB NPU
Inception-v3 ONNX float Qualcomm® QCS9075 2.373 ms 0 - 4 MB NPU
Inception-v3 ONNX float Snapdragon® 8 Elite For Galaxy Mobile 1.04 ms 0 - 102 MB NPU
Inception-v3 ONNX float Snapdragon® 8 Elite Gen 5 Mobile 0.917 ms 0 - 103 MB NPU
Inception-v3 ONNX w8a8 Snapdragon® X Elite 0.702 ms 24 - 24 MB NPU
Inception-v3 ONNX w8a8 Snapdragon® 8 Gen 3 Mobile 0.672 ms 0 - 162 MB NPU
Inception-v3 ONNX w8a8 Qualcomm® QCS6490 24.544 ms 8 - 41 MB CPU
Inception-v3 ONNX w8a8 Qualcomm® QCS8550 (Proxy) 0.86 ms 0 - 225 MB NPU
Inception-v3 ONNX w8a8 Qualcomm® QCS9075 0.947 ms 0 - 3 MB NPU
Inception-v3 ONNX w8a8 Qualcomm® QCM6690 17.95 ms 10 - 20 MB CPU
Inception-v3 ONNX w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.557 ms 0 - 123 MB NPU
Inception-v3 ONNX w8a8 Snapdragon® 7 Gen 4 Mobile 13.886 ms 10 - 20 MB CPU
Inception-v3 ONNX w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.521 ms 0 - 124 MB NPU
Inception-v3 QNN_DLC float Snapdragon® X Elite 1.426 ms 1 - 1 MB NPU
Inception-v3 QNN_DLC float Snapdragon® 8 Gen 3 Mobile 1.02 ms 0 - 56 MB NPU
Inception-v3 QNN_DLC float Qualcomm® QCS8275 (Proxy) 7.735 ms 1 - 32 MB NPU
Inception-v3 QNN_DLC float Qualcomm® QCS8550 (Proxy) 1.374 ms 1 - 192 MB NPU
Inception-v3 QNN_DLC float Qualcomm® SA8775P 2.203 ms 0 - 35 MB NPU
Inception-v3 QNN_DLC float Qualcomm® QCS9075 2.048 ms 1 - 3 MB NPU
Inception-v3 QNN_DLC float Qualcomm® QCS8450 (Proxy) 2.342 ms 0 - 55 MB NPU
Inception-v3 QNN_DLC float Qualcomm® SA7255P 7.735 ms 1 - 32 MB NPU
Inception-v3 QNN_DLC float Qualcomm® SA8295P 2.628 ms 0 - 31 MB NPU
Inception-v3 QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 0.849 ms 1 - 35 MB NPU
Inception-v3 QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 0.764 ms 1 - 37 MB NPU
Inception-v3 QNN_DLC w8a8 Snapdragon® X Elite 0.693 ms 0 - 0 MB NPU
Inception-v3 QNN_DLC w8a8 Snapdragon® 8 Gen 3 Mobile 0.48 ms 0 - 77 MB NPU
Inception-v3 QNN_DLC w8a8 Qualcomm® QCS6490 2.29 ms 0 - 2 MB NPU
Inception-v3 QNN_DLC w8a8 Qualcomm® QCS8275 (Proxy) 1.527 ms 0 - 47 MB NPU
Inception-v3 QNN_DLC w8a8 Qualcomm® QCS8550 (Proxy) 0.629 ms 0 - 2 MB NPU
Inception-v3 QNN_DLC w8a8 Qualcomm® SA8775P 0.779 ms 0 - 51 MB NPU
Inception-v3 QNN_DLC w8a8 Qualcomm® QCS9075 0.62 ms 2 - 4 MB NPU
Inception-v3 QNN_DLC w8a8 Qualcomm® QCM6690 5.798 ms 0 - 50 MB NPU
Inception-v3 QNN_DLC w8a8 Qualcomm® QCS8450 (Proxy) 0.896 ms 0 - 74 MB NPU
Inception-v3 QNN_DLC w8a8 Qualcomm® SA7255P 1.527 ms 0 - 47 MB NPU
Inception-v3 QNN_DLC w8a8 Qualcomm® SA8295P 1.134 ms 0 - 45 MB NPU
Inception-v3 QNN_DLC w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.404 ms 0 - 47 MB NPU
Inception-v3 QNN_DLC w8a8 Snapdragon® 7 Gen 4 Mobile 0.983 ms 0 - 50 MB NPU
Inception-v3 QNN_DLC w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.368 ms 0 - 51 MB NPU
Inception-v3 TFLITE float Snapdragon® 8 Gen 3 Mobile 1.026 ms 0 - 125 MB NPU
Inception-v3 TFLITE float Qualcomm® QCS8275 (Proxy) 7.782 ms 0 - 73 MB NPU
Inception-v3 TFLITE float Qualcomm® QCS8550 (Proxy) 1.375 ms 0 - 3 MB NPU
Inception-v3 TFLITE float Qualcomm® SA8775P 2.238 ms 0 - 75 MB NPU
Inception-v3 TFLITE float Qualcomm® QCS9075 2.047 ms 0 - 48 MB NPU
Inception-v3 TFLITE float Qualcomm® QCS8450 (Proxy) 2.344 ms 0 - 126 MB NPU
Inception-v3 TFLITE float Qualcomm® SA7255P 7.782 ms 0 - 73 MB NPU
Inception-v3 TFLITE float Qualcomm® SA8295P 2.64 ms 0 - 69 MB NPU
Inception-v3 TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 0.871 ms 0 - 77 MB NPU
Inception-v3 TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 0.772 ms 0 - 77 MB NPU
Inception-v3 TFLITE w8a8 Snapdragon® 8 Gen 3 Mobile 0.484 ms 0 - 73 MB NPU
Inception-v3 TFLITE w8a8 Qualcomm® QCS6490 2.265 ms 0 - 25 MB NPU
Inception-v3 TFLITE w8a8 Qualcomm® QCS8275 (Proxy) 1.616 ms 0 - 47 MB NPU
Inception-v3 TFLITE w8a8 Qualcomm® QCS8550 (Proxy) 0.644 ms 0 - 2 MB NPU
Inception-v3 TFLITE w8a8 Qualcomm® SA8775P 0.852 ms 0 - 50 MB NPU
Inception-v3 TFLITE w8a8 Qualcomm® QCS9075 0.699 ms 0 - 25 MB NPU
Inception-v3 TFLITE w8a8 Qualcomm® QCM6690 5.787 ms 0 - 49 MB NPU
Inception-v3 TFLITE w8a8 Qualcomm® QCS8450 (Proxy) 0.945 ms 0 - 75 MB NPU
Inception-v3 TFLITE w8a8 Qualcomm® SA7255P 1.616 ms 0 - 47 MB NPU
Inception-v3 TFLITE w8a8 Qualcomm® SA8295P 1.251 ms 0 - 45 MB NPU
Inception-v3 TFLITE w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.432 ms 0 - 50 MB NPU
Inception-v3 TFLITE w8a8 Snapdragon® 7 Gen 4 Mobile 1.007 ms 0 - 48 MB NPU
Inception-v3 TFLITE w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.379 ms 0 - 50 MB NPU

License

  • The license for the original implementation of Inception-v3 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/Inception-v3