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Facial-Attribute-Detection

Object Detection
PyTorch
real_time
bu_iot
android
Model card Files
xet
Community
1

Facial-Attribute-Detection: Optimized for Qualcomm Devices

Detects attributes (eye closeness, mask presence, eyeglasses presence, sunglasses presence) that apply to a given face. This model's architecture was developed by Qualcomm. The model was trained by Qualcomm on a proprietary dataset of faces, but can be used on any image.

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 Facial-Attribute-Detection 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 Facial-Attribute-Detection on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.object_detection

Model Stats:

  • Model checkpoint: multitask_FR_state_dict.pt
  • Input resolution: 128x128
  • Number of parameters: 12.1M
  • Model size (float): 46.3 MB
  • Model size (w8a8): 12.3 MB

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
Facial-Attribute-Detection ONNX float Snapdragon® X Elite 0.986 ms 22 - 22 MB NPU
Facial-Attribute-Detection ONNX float Snapdragon® 8 Gen 3 Mobile 0.859 ms 0 - 145 MB NPU
Facial-Attribute-Detection ONNX float Qualcomm® QCS8550 (Proxy) 1.096 ms 0 - 29 MB NPU
Facial-Attribute-Detection ONNX float Qualcomm® QCS9075 1.503 ms 0 - 3 MB NPU
Facial-Attribute-Detection ONNX float Snapdragon® 8 Elite For Galaxy Mobile 0.623 ms 0 - 120 MB NPU
Facial-Attribute-Detection ONNX float Snapdragon® 8 Elite Gen 5 Mobile 0.554 ms 0 - 120 MB NPU
Facial-Attribute-Detection ONNX w8a8 Snapdragon® X Elite 0.514 ms 11 - 11 MB NPU
Facial-Attribute-Detection ONNX w8a8 Snapdragon® 8 Gen 3 Mobile 0.475 ms 0 - 151 MB NPU
Facial-Attribute-Detection ONNX w8a8 Qualcomm® QCS6490 35.118 ms 21 - 28 MB CPU
Facial-Attribute-Detection ONNX w8a8 Qualcomm® QCS8550 (Proxy) 0.615 ms 0 - 128 MB NPU
Facial-Attribute-Detection ONNX w8a8 Qualcomm® QCS9075 0.72 ms 0 - 3 MB NPU
Facial-Attribute-Detection ONNX w8a8 Qualcomm® QCM6690 16.742 ms 20 - 30 MB CPU
Facial-Attribute-Detection ONNX w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.358 ms 0 - 124 MB NPU
Facial-Attribute-Detection ONNX w8a8 Snapdragon® 7 Gen 4 Mobile 12.327 ms 19 - 28 MB CPU
Facial-Attribute-Detection ONNX w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.339 ms 0 - 127 MB NPU
Facial-Attribute-Detection QNN_DLC float Snapdragon® X Elite 0.999 ms 0 - 0 MB NPU
Facial-Attribute-Detection QNN_DLC float Snapdragon® 8 Gen 3 Mobile 0.652 ms 0 - 81 MB NPU
Facial-Attribute-Detection QNN_DLC float Qualcomm® QCS8275 (Proxy) 4.312 ms 0 - 53 MB NPU
Facial-Attribute-Detection QNN_DLC float Qualcomm® QCS8550 (Proxy) 0.867 ms 0 - 2 MB NPU
Facial-Attribute-Detection QNN_DLC float Qualcomm® SA8775P 1.375 ms 0 - 57 MB NPU
Facial-Attribute-Detection QNN_DLC float Qualcomm® QCS9075 1.209 ms 2 - 4 MB NPU
Facial-Attribute-Detection QNN_DLC float Qualcomm® QCS8450 (Proxy) 1.339 ms 0 - 77 MB NPU
Facial-Attribute-Detection QNN_DLC float Qualcomm® SA7255P 4.312 ms 0 - 53 MB NPU
Facial-Attribute-Detection QNN_DLC float Qualcomm® SA8295P 1.521 ms 0 - 48 MB NPU
Facial-Attribute-Detection QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 0.517 ms 0 - 58 MB NPU
Facial-Attribute-Detection QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 0.421 ms 0 - 58 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Snapdragon® X Elite 0.507 ms 0 - 0 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Snapdragon® 8 Gen 3 Mobile 0.28 ms 0 - 63 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® QCS6490 1.301 ms 0 - 2 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® QCS8275 (Proxy) 1.069 ms 0 - 47 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® QCS8550 (Proxy) 0.389 ms 0 - 1 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® SA8775P 0.564 ms 0 - 50 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® QCS9075 0.466 ms 0 - 2 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® QCM6690 2.948 ms 0 - 49 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® QCS8450 (Proxy) 0.633 ms 0 - 65 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® SA7255P 1.069 ms 0 - 47 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® SA8295P 0.802 ms 0 - 45 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.237 ms 0 - 50 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Snapdragon® 7 Gen 4 Mobile 0.484 ms 0 - 46 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.211 ms 0 - 49 MB NPU
Facial-Attribute-Detection TFLITE float Snapdragon® 8 Gen 3 Mobile 0.63 ms 0 - 105 MB NPU
Facial-Attribute-Detection TFLITE float Qualcomm® QCS8275 (Proxy) 4.258 ms 0 - 75 MB NPU
Facial-Attribute-Detection TFLITE float Qualcomm® QCS8550 (Proxy) 0.813 ms 0 - 9 MB NPU
Facial-Attribute-Detection TFLITE float Qualcomm® SA8775P 1.372 ms 0 - 77 MB NPU
Facial-Attribute-Detection TFLITE float Qualcomm® QCS9075 1.194 ms 0 - 24 MB NPU
Facial-Attribute-Detection TFLITE float Qualcomm® QCS8450 (Proxy) 1.327 ms 0 - 99 MB NPU
Facial-Attribute-Detection TFLITE float Qualcomm® SA7255P 4.258 ms 0 - 75 MB NPU
Facial-Attribute-Detection TFLITE float Qualcomm® SA8295P 1.507 ms 0 - 63 MB NPU
Facial-Attribute-Detection TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 0.493 ms 0 - 65 MB NPU
Facial-Attribute-Detection TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 0.417 ms 0 - 79 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Snapdragon® 8 Gen 3 Mobile 0.284 ms 0 - 63 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® QCS6490 1.296 ms 0 - 13 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® QCS8275 (Proxy) 1.102 ms 0 - 49 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® QCS8550 (Proxy) 0.376 ms 0 - 2 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® SA8775P 0.586 ms 0 - 51 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® QCS9075 0.487 ms 0 - 13 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® QCM6690 2.962 ms 0 - 42 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® QCS8450 (Proxy) 0.63 ms 0 - 65 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® SA7255P 1.102 ms 0 - 49 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® SA8295P 0.836 ms 0 - 43 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.241 ms 0 - 42 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Snapdragon® 7 Gen 4 Mobile 0.496 ms 0 - 43 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.212 ms 0 - 53 MB NPU

License

  • The license for the original implementation of Facial-Attribute-Detection can be found here.

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