Hugging Face's logo

qualcomm
/
DenseNet-121

Image Classification
PyTorch
backbone
bu_auto
android
Model card Files
xet
 Community
DenseNet-121 / README.md
qaihm-bot's picture
qaihm-bot
v0.51.0
025da05 verified
preview code
|
raw
history blame contribute delete
7.67 kB
metadata 
library_name: pytorch
license: other
tags:
  - backbone
  - bu_auto
  - android
pipeline_tag: image-classification

DenseNet-121: Optimized for Qualcomm Devices

Densenet 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 DenseNet-121 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
QNN_DLC float Universal QAIRT 2.45 Download
QNN_DLC w8a8_mixed_int16 Universal QAIRT 2.45 Download
TFLITE float Universal QAIRT 2.45 Download

For more device-specific assets and performance metrics, visit DenseNet-121 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 DenseNet-121 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: 7.99M
  • Model size (float): 30.5 MB
  • Model size (w8a16): 8.72 MB
  • Model size (w8a8): 8.30 MB

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
DenseNet-121 ONNX float Snapdragon® 8 Elite Gen 5 Mobile 0.675 ms 0 - 46 MB NPU
DenseNet-121 ONNX float Snapdragon® X2 Elite 0.741 ms 16 - 16 MB NPU
DenseNet-121 ONNX float Snapdragon® X Elite 1.744 ms 15 - 15 MB NPU
DenseNet-121 ONNX float Snapdragon® 8 Gen 3 Mobile 1.077 ms 0 - 88 MB NPU
DenseNet-121 ONNX float Qualcomm® QCS8550 (Proxy) 1.519 ms 0 - 17 MB NPU
DenseNet-121 ONNX float Qualcomm® QCS9075 2.61 ms 1 - 3 MB NPU
DenseNet-121 ONNX float Snapdragon® 8 Elite For Galaxy Mobile 0.787 ms 0 - 46 MB NPU
DenseNet-121 QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 0.722 ms 1 - 42 MB NPU
DenseNet-121 QNN_DLC float Snapdragon® X2 Elite 0.955 ms 1 - 1 MB NPU
DenseNet-121 QNN_DLC float Snapdragon® X Elite 2.038 ms 1 - 1 MB NPU
DenseNet-121 QNN_DLC float Snapdragon® 8 Gen 3 Mobile 1.212 ms 0 - 76 MB NPU
DenseNet-121 QNN_DLC float Qualcomm® QCS8275 (Proxy) 7.883 ms 1 - 38 MB NPU
DenseNet-121 QNN_DLC float Qualcomm® QCS8550 (Proxy) 1.816 ms 1 - 2 MB NPU
DenseNet-121 QNN_DLC float Qualcomm® SA8775P 2.683 ms 1 - 40 MB NPU
DenseNet-121 QNN_DLC float Qualcomm® QCS9075 2.782 ms 3 - 5 MB NPU
DenseNet-121 QNN_DLC float Qualcomm® QCS8450 (Proxy) 3.294 ms 0 - 75 MB NPU
DenseNet-121 QNN_DLC float Qualcomm® SA7255P 7.883 ms 1 - 38 MB NPU
DenseNet-121 QNN_DLC float Qualcomm® SA8295P 3.081 ms 0 - 35 MB NPU
DenseNet-121 QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 0.881 ms 0 - 38 MB NPU
DenseNet-121 QNN_DLC w8a8_mixed_int16 Snapdragon® 8 Elite Gen 5 Mobile 1.162 ms 0 - 69 MB NPU
DenseNet-121 QNN_DLC w8a8_mixed_int16 Snapdragon® X2 Elite 1.493 ms 0 - 0 MB NPU
DenseNet-121 QNN_DLC w8a8_mixed_int16 Snapdragon® X Elite 3.218 ms 0 - 0 MB NPU
DenseNet-121 QNN_DLC w8a8_mixed_int16 Snapdragon® 8 Gen 3 Mobile 2.089 ms 0 - 84 MB NPU
DenseNet-121 QNN_DLC w8a8_mixed_int16 Qualcomm® QCS8275 (Proxy) 5.945 ms 0 - 61 MB NPU
DenseNet-121 QNN_DLC w8a8_mixed_int16 Qualcomm® QCS8550 (Proxy) 2.965 ms 0 - 29 MB NPU
DenseNet-121 QNN_DLC w8a8_mixed_int16 Qualcomm® SA8775P 3.271 ms 0 - 63 MB NPU
DenseNet-121 QNN_DLC w8a8_mixed_int16 Qualcomm® QCS9075 3.255 ms 0 - 2 MB NPU
DenseNet-121 QNN_DLC w8a8_mixed_int16 Qualcomm® SA7255P 5.945 ms 0 - 61 MB NPU
DenseNet-121 QNN_DLC w8a8_mixed_int16 Snapdragon® 8 Elite For Galaxy Mobile 1.555 ms 0 - 61 MB NPU
DenseNet-121 TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 0.721 ms 0 - 56 MB NPU
DenseNet-121 TFLITE float Snapdragon® 8 Gen 3 Mobile 1.208 ms 0 - 89 MB NPU
DenseNet-121 TFLITE float Qualcomm® QCS8275 (Proxy) 7.939 ms 0 - 52 MB NPU
DenseNet-121 TFLITE float Qualcomm® QCS8550 (Proxy) 1.828 ms 0 - 3 MB NPU
DenseNet-121 TFLITE float Qualcomm® SA8775P 2.713 ms 0 - 56 MB NPU
DenseNet-121 TFLITE float Qualcomm® QCS9075 2.81 ms 0 - 18 MB NPU
DenseNet-121 TFLITE float Qualcomm® QCS8450 (Proxy) 3.304 ms 0 - 87 MB NPU
DenseNet-121 TFLITE float Qualcomm® SA7255P 7.939 ms 0 - 52 MB NPU
DenseNet-121 TFLITE float Qualcomm® SA8295P 3.062 ms 0 - 49 MB NPU
DenseNet-121 TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 0.881 ms 0 - 50 MB NPU

License

  • The license for the original implementation of DenseNet-121 can be found here.

References

Community