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 2.42, 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 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® X2 Elite 0.422 ms 22 - 22 MB NPU
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 0.623 ms 0 - 82 MB NPU
Facial-Attribute-Detection ONNX float Qualcomm® QCS8550 (Proxy) 0.862 ms 0 - 29 MB NPU
Facial-Attribute-Detection ONNX float Qualcomm® QCS9075 1.236 ms 0 - 3 MB NPU
Facial-Attribute-Detection ONNX float Snapdragon® 8 Elite For Galaxy Mobile 0.51 ms 0 - 65 MB NPU
Facial-Attribute-Detection ONNX float Snapdragon® 8 Elite Gen 5 Mobile 0.429 ms 0 - 66 MB NPU
Facial-Attribute-Detection ONNX w8a8 Snapdragon® X2 Elite 0.186 ms 11 - 11 MB NPU
Facial-Attribute-Detection ONNX w8a8 Snapdragon® X Elite 0.537 ms 11 - 11 MB NPU
Facial-Attribute-Detection ONNX w8a8 Snapdragon® 8 Gen 3 Mobile 0.3 ms 0 - 76 MB NPU
Facial-Attribute-Detection ONNX w8a8 Qualcomm® QCS6490 35.264 ms 20 - 27 MB CPU
Facial-Attribute-Detection ONNX w8a8 Qualcomm® QCS8550 (Proxy) 0.405 ms 0 - 14 MB NPU
Facial-Attribute-Detection ONNX w8a8 Qualcomm® QCS9075 0.517 ms 0 - 3 MB NPU
Facial-Attribute-Detection ONNX w8a8 Qualcomm® QCM6690 17.102 ms 18 - 27 MB CPU
Facial-Attribute-Detection ONNX w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.243 ms 0 - 61 MB NPU
Facial-Attribute-Detection ONNX w8a8 Snapdragon® 7 Gen 4 Mobile 12.531 ms 19 - 28 MB CPU
Facial-Attribute-Detection ONNX w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.222 ms 0 - 60 MB NPU
Facial-Attribute-Detection QNN_DLC float Snapdragon® X2 Elite 0.572 ms 0 - 0 MB NPU
Facial-Attribute-Detection QNN_DLC float Snapdragon® X Elite 0.968 ms 0 - 0 MB NPU
Facial-Attribute-Detection QNN_DLC float Snapdragon® 8 Gen 3 Mobile 0.624 ms 0 - 82 MB NPU
Facial-Attribute-Detection QNN_DLC float Qualcomm® QCS8275 (Proxy) 4.268 ms 0 - 54 MB NPU
Facial-Attribute-Detection QNN_DLC float Qualcomm® QCS8550 (Proxy) 0.851 ms 0 - 2 MB NPU
Facial-Attribute-Detection QNN_DLC float Qualcomm® SA8775P 1.385 ms 0 - 56 MB NPU
Facial-Attribute-Detection QNN_DLC float Qualcomm® QCS9075 1.234 ms 2 - 4 MB NPU
Facial-Attribute-Detection QNN_DLC float Qualcomm® QCS8450 (Proxy) 1.336 ms 0 - 77 MB NPU
Facial-Attribute-Detection QNN_DLC float Qualcomm® SA7255P 4.268 ms 0 - 54 MB NPU
Facial-Attribute-Detection QNN_DLC float Qualcomm® SA8295P 1.56 ms 0 - 48 MB NPU
Facial-Attribute-Detection QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 0.5 ms 0 - 58 MB NPU
Facial-Attribute-Detection QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 0.42 ms 0 - 58 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Snapdragon® X2 Elite 0.313 ms 0 - 0 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Snapdragon® X Elite 0.522 ms 0 - 0 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Snapdragon® 8 Gen 3 Mobile 0.279 ms 0 - 63 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® QCS6490 1.294 ms 0 - 2 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® QCS8275 (Proxy) 1.062 ms 0 - 47 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® QCS8550 (Proxy) 0.375 ms 0 - 10 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® SA8775P 2.286 ms 0 - 47 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® QCS9075 0.476 ms 2 - 4 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® QCM6690 2.885 ms 0 - 47 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® QCS8450 (Proxy) 0.606 ms 0 - 65 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® SA7255P 1.062 ms 0 - 47 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® SA8295P 0.815 ms 0 - 45 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.238 ms 0 - 46 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Snapdragon® 7 Gen 4 Mobile 0.497 ms 0 - 46 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.209 ms 0 - 49 MB NPU
Facial-Attribute-Detection TFLITE float Snapdragon® 8 Gen 3 Mobile 0.624 ms 0 - 105 MB NPU
Facial-Attribute-Detection TFLITE float Qualcomm® QCS8275 (Proxy) 4.234 ms 0 - 71 MB NPU
Facial-Attribute-Detection TFLITE float Qualcomm® QCS8550 (Proxy) 0.819 ms 0 - 7 MB NPU
Facial-Attribute-Detection TFLITE float Qualcomm® SA8775P 1.388 ms 0 - 73 MB NPU
Facial-Attribute-Detection TFLITE float Qualcomm® QCS9075 1.203 ms 0 - 24 MB NPU
Facial-Attribute-Detection TFLITE float Qualcomm® QCS8450 (Proxy) 1.302 ms 0 - 97 MB NPU
Facial-Attribute-Detection TFLITE float Qualcomm® SA7255P 4.234 ms 0 - 71 MB NPU
Facial-Attribute-Detection TFLITE float Qualcomm® SA8295P 1.564 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 0.405 ms 0 - 76 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Snapdragon® 8 Gen 3 Mobile 0.282 ms 0 - 64 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® QCS6490 1.258 ms 0 - 13 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® QCS8275 (Proxy) 1.111 ms 0 - 47 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® QCS8550 (Proxy) 0.383 ms 0 - 1 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® SA8775P 2.29 ms 0 - 47 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® QCS9075 0.479 ms 0 - 13 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® QCM6690 2.969 ms 0 - 43 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® QCS8450 (Proxy) 0.61 ms 0 - 65 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® SA7255P 1.111 ms 0 - 47 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® SA8295P 0.819 ms 0 - 43 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.241 ms 0 - 52 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Snapdragon® 7 Gen 4 Mobile 0.497 ms 0 - 42 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.206 ms 0 - 50 MB NPU

License

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

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