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

NASNet: Optimized for Qualcomm Devices

NASNet is a vision transformer model that can classify images from the Imagenet dataset.

This is based on the implementation of NASNet 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_mixed_fp16 Universal QAIRT 2.42, ONNX Runtime 1.24.1 Download
QNN_DLC float Universal QAIRT 2.43 Download
QNN_DLC w8a8_mixed_fp16 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 NASNet 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 NASNet on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.image_classification

Model Stats:

  • Model checkpoint: nasnetalarge.tf_in1k
  • Input resolution: 224x224
  • GMACs: 5.9
  • Activations (M): 19.4
  • Number of parameters: 88.7M
  • Model size (float): 338 MB

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
NASNet ONNX float Snapdragon® X2 Elite 8.215 ms 189 - 189 MB NPU
NASNet ONNX float Snapdragon® X Elite 17.826 ms 188 - 188 MB NPU
NASNet ONNX float Snapdragon® 8 Gen 3 Mobile 12.748 ms 0 - 831 MB NPU
NASNet ONNX float Qualcomm® QCS8550 (Proxy) 17.461 ms 0 - 196 MB NPU
NASNet ONNX float Qualcomm® QCS9075 28.336 ms 0 - 4 MB NPU
NASNet ONNX float Snapdragon® 8 Elite For Galaxy Mobile 10.601 ms 1 - 676 MB NPU
NASNet ONNX float Snapdragon® 8 Elite Gen 5 Mobile 8.389 ms 1 - 673 MB NPU
NASNet ONNX w8a8_mixed_fp16 Snapdragon® X2 Elite 4.546 ms 100 - 100 MB NPU
NASNet ONNX w8a8_mixed_fp16 Snapdragon® X Elite 11.742 ms 98 - 98 MB NPU
NASNet ONNX w8a8_mixed_fp16 Snapdragon® 8 Gen 3 Mobile 6.989 ms 5 - 481 MB NPU
NASNet ONNX w8a8_mixed_fp16 Qualcomm® QCS8550 (Proxy) 9.916 ms 5 - 11 MB NPU
NASNet ONNX w8a8_mixed_fp16 Qualcomm® QCS9075 11.712 ms 5 - 8 MB NPU
NASNet ONNX w8a8_mixed_fp16 Snapdragon® 8 Elite For Galaxy Mobile 5.62 ms 0 - 346 MB NPU
NASNet ONNX w8a8_mixed_fp16 Snapdragon® 8 Elite Gen 5 Mobile 4.568 ms 5 - 359 MB NPU
NASNet QNN_DLC float Snapdragon® X2 Elite 9.24 ms 1 - 1 MB NPU
NASNet QNN_DLC float Snapdragon® X Elite 19.234 ms 1 - 1 MB NPU
NASNet QNN_DLC float Snapdragon® 8 Gen 3 Mobile 12.326 ms 0 - 814 MB NPU
NASNet QNN_DLC float Qualcomm® QCS8275 (Proxy) 54.016 ms 1 - 659 MB NPU
NASNet QNN_DLC float Qualcomm® QCS8550 (Proxy) 19.0 ms 1 - 3 MB NPU
NASNet QNN_DLC float Qualcomm® QCS9075 28.724 ms 1 - 3 MB NPU
NASNet QNN_DLC float Qualcomm® QCS8450 (Proxy) 35.267 ms 0 - 792 MB NPU
NASNet QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 11.072 ms 1 - 652 MB NPU
NASNet QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 8.904 ms 1 - 654 MB NPU
NASNet QNN_DLC w8a8_mixed_fp16 Snapdragon® X2 Elite 4.134 ms 0 - 0 MB NPU
NASNet QNN_DLC w8a8_mixed_fp16 Snapdragon® X Elite 9.236 ms 0 - 0 MB NPU
NASNet QNN_DLC w8a8_mixed_fp16 Snapdragon® 8 Gen 3 Mobile 5.992 ms 0 - 495 MB NPU
NASNet QNN_DLC w8a8_mixed_fp16 Qualcomm® QCS8275 (Proxy) 16.472 ms 0 - 378 MB NPU
NASNet QNN_DLC w8a8_mixed_fp16 Qualcomm® QCS8550 (Proxy) 8.936 ms 0 - 2 MB NPU
NASNet QNN_DLC w8a8_mixed_fp16 Qualcomm® QCS9075 9.454 ms 0 - 2 MB NPU
NASNet QNN_DLC w8a8_mixed_fp16 Qualcomm® QCS8450 (Proxy) 11.194 ms 0 - 507 MB NPU
NASNet QNN_DLC w8a8_mixed_fp16 Snapdragon® 8 Elite For Galaxy Mobile 4.926 ms 0 - 377 MB NPU
NASNet QNN_DLC w8a8_mixed_fp16 Snapdragon® 8 Elite Gen 5 Mobile 3.895 ms 0 - 378 MB NPU
NASNet TFLITE float Snapdragon® 8 Gen 3 Mobile 8.796 ms 0 - 783 MB NPU
NASNet TFLITE float Qualcomm® QCS8275 (Proxy) 44.427 ms 0 - 628 MB NPU
NASNet TFLITE float Qualcomm® QCS8550 (Proxy) 12.456 ms 0 - 3 MB NPU
NASNet TFLITE float Qualcomm® QCS9075 15.469 ms 0 - 192 MB NPU
NASNet TFLITE float Qualcomm® QCS8450 (Proxy) 28.855 ms 0 - 762 MB NPU
NASNet TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 6.956 ms 0 - 623 MB NPU
NASNet TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 5.632 ms 0 - 625 MB NPU

License

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

References

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