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ConvNext-Tiny

Image Classification
PyTorch
bu_auto
android
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xet
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ConvNext-Tiny: Optimized for Qualcomm Devices

ConvNextTiny 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 ConvNext-Tiny 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
QNN_DLC float Universal QAIRT 2.45 Download
QNN_DLC w8a16 Universal QAIRT 2.45 Download
TFLITE float Universal QAIRT 2.45 Download

For more device-specific assets and performance metrics, visit ConvNext-Tiny 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 ConvNext-Tiny 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: 28.6M
  • Model size (float): 109 MB
  • Model size (w8a16): 28.9 MB

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
ConvNext-Tiny ONNX float Snapdragon® 8 Elite Gen 5 Mobile 1.278 ms 0 - 126 MB NPU
ConvNext-Tiny ONNX float Snapdragon® 8 Elite Mobile 1.567 ms 0 - 127 MB NPU
ConvNext-Tiny ONNX float Snapdragon® X2 Elite 1.334 ms 57 - 57 MB NPU
ConvNext-Tiny ONNX float Snapdragon® X Elite 2.899 ms 56 - 56 MB NPU
ConvNext-Tiny ONNX float Snapdragon® X Elite 2.899 ms 56 - 56 MB NPU
ConvNext-Tiny ONNX float Snapdragon® 8 Gen 3 Mobile 2.038 ms 0 - 169 MB NPU
ConvNext-Tiny ONNX float Qualcomm® QCS8550 (Proxy) 2.748 ms 0 - 34 MB NPU
ConvNext-Tiny ONNX float Snapdragon® 8 Elite For Galaxy Mobile 1.567 ms 0 - 127 MB NPU
ConvNext-Tiny ONNX float Qualcomm® QCS9075 3.939 ms 0 - 4 MB NPU
ConvNext-Tiny ONNX w8a16 Snapdragon® 8 Elite Gen 5 Mobile 1.103 ms 0 - 115 MB NPU
ConvNext-Tiny ONNX w8a16 Snapdragon® 8 Elite Mobile 1.386 ms 0 - 117 MB NPU
ConvNext-Tiny ONNX w8a16 Snapdragon® X2 Elite 1.202 ms 29 - 29 MB NPU
ConvNext-Tiny ONNX w8a16 Snapdragon® X Elite 2.817 ms 29 - 29 MB NPU
ConvNext-Tiny ONNX w8a16 Snapdragon® X Elite 2.817 ms 29 - 29 MB NPU
ConvNext-Tiny ONNX w8a16 Snapdragon® 8 Gen 3 Mobile 1.815 ms 0 - 141 MB NPU
ConvNext-Tiny ONNX w8a16 Qualcomm® QCS6490 383.929 ms 50 - 64 MB CPU
ConvNext-Tiny ONNX w8a16 Qualcomm® QCS8550 (Proxy) 2.523 ms 0 - 35 MB NPU
ConvNext-Tiny ONNX w8a16 Snapdragon® 8 Elite For Galaxy Mobile 1.386 ms 0 - 117 MB NPU
ConvNext-Tiny ONNX w8a16 Snapdragon® 7 Gen 4 Mobile 200.28 ms 59 - 73 MB CPU
ConvNext-Tiny ONNX w8a16 Qualcomm® QCM6690 208.813 ms 59 - 72 MB CPU
ConvNext-Tiny ONNX w8a16 Qualcomm® QCS9075 2.686 ms 0 - 3 MB NPU
ConvNext-Tiny ONNX w8a16 Snapdragon® 7 Gen 4 Mobile 200.28 ms 59 - 73 MB CPU
ConvNext-Tiny QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 1.538 ms 0 - 80 MB NPU
ConvNext-Tiny QNN_DLC float Snapdragon® 8 Elite Mobile 1.91 ms 0 - 76 MB NPU
ConvNext-Tiny QNN_DLC float Snapdragon® X2 Elite 1.885 ms 1 - 1 MB NPU
ConvNext-Tiny QNN_DLC float Snapdragon® X Elite 3.689 ms 1 - 1 MB NPU
ConvNext-Tiny QNN_DLC float Snapdragon® X Elite 3.689 ms 1 - 1 MB NPU
ConvNext-Tiny QNN_DLC float Snapdragon® 8 Gen 3 Mobile 2.461 ms 0 - 127 MB NPU
ConvNext-Tiny QNN_DLC float Qualcomm® QCS8550 (Proxy) 3.433 ms 1 - 162 MB NPU
ConvNext-Tiny QNN_DLC float Qualcomm® SA8775P 4.773 ms 1 - 77 MB NPU
ConvNext-Tiny QNN_DLC float Qualcomm® SA8775P 4.773 ms 1 - 77 MB NPU
ConvNext-Tiny QNN_DLC float Qualcomm® SA8775P 4.773 ms 1 - 77 MB NPU
ConvNext-Tiny QNN_DLC float Qualcomm® SA7255P 14.836 ms 1 - 76 MB NPU
ConvNext-Tiny QNN_DLC float Qualcomm® QCS8450 (Proxy) 9.503 ms 0 - 129 MB NPU
ConvNext-Tiny QNN_DLC float Qualcomm® SA8295P 8.748 ms 1 - 77 MB NPU
ConvNext-Tiny QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 1.91 ms 0 - 76 MB NPU
ConvNext-Tiny QNN_DLC float Qualcomm® QCS9075 4.66 ms 3 - 5 MB NPU
ConvNext-Tiny QNN_DLC w8a16 Snapdragon® 8 Elite Gen 5 Mobile 1.276 ms 0 - 101 MB NPU
ConvNext-Tiny QNN_DLC w8a16 Snapdragon® 8 Elite Mobile 1.586 ms 0 - 100 MB NPU
ConvNext-Tiny QNN_DLC w8a16 Snapdragon® X2 Elite 1.594 ms 0 - 0 MB NPU
ConvNext-Tiny QNN_DLC w8a16 Snapdragon® X Elite 3.36 ms 0 - 0 MB NPU
ConvNext-Tiny QNN_DLC w8a16 Snapdragon® X Elite 3.36 ms 0 - 0 MB NPU
ConvNext-Tiny QNN_DLC w8a16 Snapdragon® 8 Gen 3 Mobile 2.179 ms 0 - 122 MB NPU
ConvNext-Tiny QNN_DLC w8a16 Qualcomm® QCS6490 9.17 ms 2 - 4 MB NPU
ConvNext-Tiny QNN_DLC w8a16 Qualcomm® QCS8550 (Proxy) 3.143 ms 0 - 2 MB NPU
ConvNext-Tiny QNN_DLC w8a16 Qualcomm® SA8775P 3.508 ms 0 - 98 MB NPU
ConvNext-Tiny QNN_DLC w8a16 Qualcomm® SA8775P 3.508 ms 0 - 98 MB NPU
ConvNext-Tiny QNN_DLC w8a16 Qualcomm® SA8775P 3.508 ms 0 - 98 MB NPU
ConvNext-Tiny QNN_DLC w8a16 Qualcomm® SA7255P 6.818 ms 0 - 96 MB NPU
ConvNext-Tiny QNN_DLC w8a16 Snapdragon® 8 Elite For Galaxy Mobile 1.586 ms 0 - 100 MB NPU
ConvNext-Tiny QNN_DLC w8a16 Snapdragon® 7 Gen 4 Mobile 3.418 ms 0 - 110 MB NPU
ConvNext-Tiny QNN_DLC w8a16 Qualcomm® QCM6690 21.946 ms 0 - 250 MB NPU
ConvNext-Tiny QNN_DLC w8a16 Qualcomm® SA8295P 4.734 ms 0 - 93 MB NPU
ConvNext-Tiny QNN_DLC w8a16 Qualcomm® QCS9075 3.316 ms 0 - 2 MB NPU
ConvNext-Tiny QNN_DLC w8a16 Qualcomm® QCS8450 (Proxy) 4.245 ms 0 - 120 MB NPU
ConvNext-Tiny QNN_DLC w8a16 Snapdragon® 7 Gen 4 Mobile 3.418 ms 0 - 110 MB NPU
ConvNext-Tiny TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 1.308 ms 0 - 77 MB NPU
ConvNext-Tiny TFLITE float Snapdragon® 8 Elite Mobile 1.594 ms 0 - 78 MB NPU
ConvNext-Tiny TFLITE float Snapdragon® 8 Gen 3 Mobile 2.13 ms 0 - 127 MB NPU
ConvNext-Tiny TFLITE float Qualcomm® QCS8550 (Proxy) 2.836 ms 0 - 8 MB NPU
ConvNext-Tiny TFLITE float Qualcomm® SA8775P 4.269 ms 0 - 74 MB NPU
ConvNext-Tiny TFLITE float Qualcomm® SA8775P 4.269 ms 0 - 74 MB NPU
ConvNext-Tiny TFLITE float Qualcomm® SA8775P 4.269 ms 0 - 74 MB NPU
ConvNext-Tiny TFLITE float Qualcomm® SA7255P 14.014 ms 0 - 73 MB NPU
ConvNext-Tiny TFLITE float Qualcomm® QCS8450 (Proxy) 8.891 ms 0 - 122 MB NPU
ConvNext-Tiny TFLITE float Qualcomm® SA8295P 7.876 ms 0 - 71 MB NPU
ConvNext-Tiny TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 1.594 ms 0 - 78 MB NPU
ConvNext-Tiny TFLITE float Qualcomm® QCS9075 4.066 ms 0 - 59 MB NPU

License

  • The license for the original implementation of ConvNext-Tiny can be found here.

References

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Paper for qualcomm/ConvNext-Tiny