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GoogLeNet

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metadata 
library_name: pytorch
license: other
tags:
  - android
pipeline_tag: image-classification

GoogLeNet: Optimized for Qualcomm Devices

GoogLeNet 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 GoogLeNet 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 w8a8 Universal QAIRT 2.42, ONNX Runtime 1.24.1 Download
QNN_DLC float Universal QAIRT 2.43 Download
QNN_DLC w8a8 Universal QAIRT 2.43 Download
TFLITE float Universal QAIRT 2.43, TFLite 2.17.0 Download
TFLITE w8a8 Universal QAIRT 2.43, TFLite 2.17.0 Download

For more device-specific assets and performance metrics, visit GoogLeNet 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 GoogLeNet 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: 6.62M
  • Model size (float): 25.3 MB
  • Model size (w8a8): 6.54 MB

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
GoogLeNet ONNX float Snapdragon® X2 Elite 0.442 ms 13 - 13 MB NPU
GoogLeNet ONNX float Snapdragon® X Elite 1.002 ms 13 - 13 MB NPU
GoogLeNet ONNX float Snapdragon® 8 Gen 3 Mobile 0.562 ms 0 - 46 MB NPU
GoogLeNet ONNX float Qualcomm® QCS8550 (Proxy) 0.843 ms 0 - 2 MB NPU
GoogLeNet ONNX float Qualcomm® QCS9075 1.545 ms 1 - 3 MB NPU
GoogLeNet ONNX float Snapdragon® 8 Elite For Galaxy Mobile 0.479 ms 0 - 31 MB NPU
GoogLeNet ONNX float Snapdragon® 8 Elite Gen 5 Mobile 0.398 ms 0 - 31 MB NPU
GoogLeNet ONNX w8a8 Snapdragon® X2 Elite 0.177 ms 7 - 7 MB NPU
GoogLeNet ONNX w8a8 Snapdragon® X Elite 0.405 ms 7 - 7 MB NPU
GoogLeNet ONNX w8a8 Snapdragon® 8 Gen 3 Mobile 0.231 ms 0 - 54 MB NPU
GoogLeNet ONNX w8a8 Qualcomm® QCS6490 13.691 ms 8 - 18 MB CPU
GoogLeNet ONNX w8a8 Qualcomm® QCS8550 (Proxy) 0.303 ms 0 - 9 MB NPU
GoogLeNet ONNX w8a8 Qualcomm® QCS9075 0.435 ms 0 - 3 MB NPU
GoogLeNet ONNX w8a8 Qualcomm® QCM6690 9.199 ms 7 - 16 MB CPU
GoogLeNet ONNX w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.19 ms 0 - 30 MB NPU
GoogLeNet ONNX w8a8 Snapdragon® 7 Gen 4 Mobile 7.061 ms 7 - 16 MB CPU
GoogLeNet ONNX w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.186 ms 0 - 34 MB NPU
GoogLeNet QNN_DLC float Snapdragon® X2 Elite 0.502 ms 1 - 1 MB NPU
GoogLeNet QNN_DLC float Snapdragon® X Elite 0.96 ms 1 - 1 MB NPU
GoogLeNet QNN_DLC float Snapdragon® 8 Gen 3 Mobile 0.552 ms 0 - 45 MB NPU
GoogLeNet QNN_DLC float Qualcomm® QCS8275 (Proxy) 4.975 ms 1 - 28 MB NPU
GoogLeNet QNN_DLC float Qualcomm® QCS8550 (Proxy) 0.809 ms 1 - 80 MB NPU
GoogLeNet QNN_DLC float Qualcomm® SA8775P 1.542 ms 1 - 29 MB NPU
GoogLeNet QNN_DLC float Qualcomm® QCS9075 1.517 ms 3 - 5 MB NPU
GoogLeNet QNN_DLC float Qualcomm® QCS8450 (Proxy) 1.764 ms 0 - 45 MB NPU
GoogLeNet QNN_DLC float Qualcomm® SA7255P 4.975 ms 1 - 28 MB NPU
GoogLeNet QNN_DLC float Qualcomm® SA8295P 1.783 ms 0 - 25 MB NPU
GoogLeNet QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 0.452 ms 0 - 31 MB NPU
GoogLeNet QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 0.381 ms 1 - 32 MB NPU
GoogLeNet QNN_DLC w8a8 Snapdragon® X2 Elite 0.231 ms 0 - 0 MB NPU
GoogLeNet QNN_DLC w8a8 Snapdragon® X Elite 0.352 ms 0 - 0 MB NPU
GoogLeNet QNN_DLC w8a8 Snapdragon® 8 Gen 3 Mobile 0.181 ms 0 - 42 MB NPU
GoogLeNet QNN_DLC w8a8 Qualcomm® QCS6490 1.049 ms 2 - 4 MB NPU
GoogLeNet QNN_DLC w8a8 Qualcomm® QCS8275 (Proxy) 0.817 ms 0 - 27 MB NPU
GoogLeNet QNN_DLC w8a8 Qualcomm® QCS8550 (Proxy) 0.249 ms 0 - 2 MB NPU
GoogLeNet QNN_DLC w8a8 Qualcomm® SA8775P 0.413 ms 0 - 29 MB NPU
GoogLeNet QNN_DLC w8a8 Qualcomm® QCS9075 0.334 ms 2 - 4 MB NPU
GoogLeNet QNN_DLC w8a8 Qualcomm® QCM6690 2.259 ms 0 - 29 MB NPU
GoogLeNet QNN_DLC w8a8 Qualcomm® QCS8450 (Proxy) 0.413 ms 0 - 43 MB NPU
GoogLeNet QNN_DLC w8a8 Qualcomm® SA7255P 0.817 ms 0 - 27 MB NPU
GoogLeNet QNN_DLC w8a8 Qualcomm® SA8295P 0.601 ms 0 - 25 MB NPU
GoogLeNet QNN_DLC w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.151 ms 0 - 27 MB NPU
GoogLeNet QNN_DLC w8a8 Snapdragon® 7 Gen 4 Mobile 0.328 ms 0 - 28 MB NPU
GoogLeNet QNN_DLC w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.143 ms 0 - 30 MB NPU
GoogLeNet TFLITE float Snapdragon® 8 Gen 3 Mobile 0.549 ms 0 - 59 MB NPU
GoogLeNet TFLITE float Qualcomm® QCS8275 (Proxy) 4.981 ms 0 - 34 MB NPU
GoogLeNet TFLITE float Qualcomm® QCS8550 (Proxy) 0.809 ms 0 - 2 MB NPU
GoogLeNet TFLITE float Qualcomm® SA8775P 1.547 ms 0 - 37 MB NPU
GoogLeNet TFLITE float Qualcomm® QCS9075 1.527 ms 0 - 16 MB NPU
GoogLeNet TFLITE float Qualcomm® QCS8450 (Proxy) 1.758 ms 0 - 57 MB NPU
GoogLeNet TFLITE float Qualcomm® SA7255P 4.981 ms 0 - 34 MB NPU
GoogLeNet TFLITE float Qualcomm® SA8295P 1.789 ms 0 - 32 MB NPU
GoogLeNet TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 0.455 ms 0 - 38 MB NPU
GoogLeNet TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 0.384 ms 0 - 38 MB NPU
GoogLeNet TFLITE w8a8 Snapdragon® 8 Gen 3 Mobile 0.189 ms 0 - 41 MB NPU
GoogLeNet TFLITE w8a8 Qualcomm® QCS6490 1.033 ms 0 - 8 MB NPU
GoogLeNet TFLITE w8a8 Qualcomm® QCS8275 (Proxy) 0.828 ms 0 - 27 MB NPU
GoogLeNet TFLITE w8a8 Qualcomm® QCS8550 (Proxy) 0.241 ms 0 - 2 MB NPU
GoogLeNet TFLITE w8a8 Qualcomm® SA8775P 0.436 ms 0 - 28 MB NPU
GoogLeNet TFLITE w8a8 Qualcomm® QCS9075 0.347 ms 0 - 9 MB NPU
GoogLeNet TFLITE w8a8 Qualcomm® QCM6690 2.241 ms 0 - 28 MB NPU
GoogLeNet TFLITE w8a8 Qualcomm® QCS8450 (Proxy) 0.422 ms 0 - 42 MB NPU
GoogLeNet TFLITE w8a8 Qualcomm® SA7255P 0.828 ms 0 - 27 MB NPU
GoogLeNet TFLITE w8a8 Qualcomm® SA8295P 0.632 ms 0 - 24 MB NPU
GoogLeNet TFLITE w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.151 ms 0 - 27 MB NPU
GoogLeNet TFLITE w8a8 Snapdragon® 7 Gen 4 Mobile 0.332 ms 0 - 28 MB NPU
GoogLeNet TFLITE w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.139 ms 0 - 30 MB NPU

License

  • The license for the original implementation of GoogLeNet can be found here.

References

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