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® X Elite 0.988 ms 22 - 22 MB NPU
Facial-Attribute-Detection ONNX float Snapdragon® 8 Gen 3 Mobile 0.645 ms 0 - 90 MB NPU
Facial-Attribute-Detection ONNX float Qualcomm® QCS8550 (Proxy) 0.86 ms 0 - 3 MB NPU
Facial-Attribute-Detection ONNX float Qualcomm® QCS9075 1.234 ms 0 - 3 MB NPU
Facial-Attribute-Detection ONNX float Snapdragon® 8 Elite For Galaxy Mobile 0.51 ms 0 - 66 MB NPU
Facial-Attribute-Detection ONNX float Snapdragon® 8 Elite Gen 5 Mobile 0.431 ms 0 - 66 MB NPU
Facial-Attribute-Detection ONNX float Snapdragon® X2 Elite 0.415 ms 22 - 22 MB NPU
Facial-Attribute-Detection ONNX w8a8 Snapdragon® X Elite 0.532 ms 11 - 11 MB NPU
Facial-Attribute-Detection ONNX w8a8 Snapdragon® 8 Gen 3 Mobile 0.295 ms 0 - 84 MB NPU
Facial-Attribute-Detection ONNX w8a8 Qualcomm® QCS6490 35.378 ms 20 - 26 MB CPU
Facial-Attribute-Detection ONNX w8a8 Qualcomm® QCS8550 (Proxy) 0.4 ms 0 - 15 MB NPU
Facial-Attribute-Detection ONNX w8a8 Qualcomm® QCS9075 0.511 ms 0 - 3 MB NPU
Facial-Attribute-Detection ONNX w8a8 Qualcomm® QCM6690 17.154 ms 18 - 27 MB CPU
Facial-Attribute-Detection ONNX w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.249 ms 0 - 62 MB NPU
Facial-Attribute-Detection ONNX w8a8 Snapdragon® 7 Gen 4 Mobile 13.251 ms 20 - 30 MB CPU
Facial-Attribute-Detection ONNX w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.217 ms 0 - 60 MB NPU
Facial-Attribute-Detection ONNX w8a8 Snapdragon® X2 Elite 0.195 ms 11 - 11 MB NPU
Facial-Attribute-Detection QNN_DLC float Snapdragon® X Elite 0.979 ms 0 - 0 MB NPU
Facial-Attribute-Detection QNN_DLC float Snapdragon® 8 Gen 3 Mobile 0.636 ms 0 - 81 MB NPU
Facial-Attribute-Detection QNN_DLC float Qualcomm® QCS8275 (Proxy) 4.254 ms 0 - 54 MB NPU
Facial-Attribute-Detection QNN_DLC float Qualcomm® QCS8550 (Proxy) 0.846 ms 0 - 105 MB NPU
Facial-Attribute-Detection QNN_DLC float Qualcomm® SA8775P 5.813 ms 0 - 54 MB NPU
Facial-Attribute-Detection QNN_DLC float Qualcomm® QCS9075 1.23 ms 0 - 2 MB NPU
Facial-Attribute-Detection QNN_DLC float Qualcomm® QCS8450 (Proxy) 1.335 ms 0 - 77 MB NPU
Facial-Attribute-Detection QNN_DLC float Qualcomm® SA7255P 4.254 ms 0 - 54 MB NPU
Facial-Attribute-Detection QNN_DLC float Qualcomm® SA8295P 1.565 ms 0 - 48 MB NPU
Facial-Attribute-Detection QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 0.498 ms 0 - 55 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 float Snapdragon® X2 Elite 0.56 ms 0 - 0 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Snapdragon® X Elite 0.525 ms 0 - 0 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Snapdragon® 8 Gen 3 Mobile 0.289 ms 0 - 63 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® QCS6490 1.303 ms 2 - 4 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® QCS8275 (Proxy) 1.085 ms 0 - 47 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® QCS8550 (Proxy) 0.383 ms 0 - 2 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® SA8775P 0.582 ms 0 - 50 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® QCS9075 0.477 ms 0 - 2 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® QCM6690 2.877 ms 0 - 48 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® QCS8450 (Proxy) 0.623 ms 0 - 64 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Qualcomm® SA7255P 1.085 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 0.234 ms 0 - 50 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Snapdragon® 7 Gen 4 Mobile 0.489 ms 0 - 46 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.213 ms 0 - 49 MB NPU
Facial-Attribute-Detection QNN_DLC w8a8 Snapdragon® X2 Elite 0.319 ms 0 - 0 MB NPU
Facial-Attribute-Detection TFLITE float Snapdragon® 8 Gen 3 Mobile 0.622 ms 0 - 103 MB NPU
Facial-Attribute-Detection TFLITE float Qualcomm® QCS8275 (Proxy) 4.226 ms 0 - 72 MB NPU
Facial-Attribute-Detection TFLITE float Qualcomm® QCS8550 (Proxy) 0.82 ms 0 - 6 MB NPU
Facial-Attribute-Detection TFLITE float Qualcomm® SA8775P 1.446 ms 0 - 73 MB NPU
Facial-Attribute-Detection TFLITE float Qualcomm® QCS9075 1.197 ms 0 - 24 MB NPU
Facial-Attribute-Detection TFLITE float Qualcomm® QCS8450 (Proxy) 1.324 ms 0 - 95 MB NPU
Facial-Attribute-Detection TFLITE float Qualcomm® SA7255P 4.226 ms 0 - 72 MB NPU
Facial-Attribute-Detection TFLITE float Qualcomm® SA8295P 1.551 ms 0 - 63 MB NPU
Facial-Attribute-Detection TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 0.489 ms 0 - 65 MB NPU
Facial-Attribute-Detection TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 0.406 ms 0 - 75 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Snapdragon® 8 Gen 3 Mobile 0.279 ms 0 - 64 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® QCS6490 1.201 ms 0 - 13 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® QCS8275 (Proxy) 1.089 ms 0 - 47 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® QCS8550 (Proxy) 0.381 ms 0 - 2 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® SA8775P 2.287 ms 0 - 47 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® QCS9075 0.478 ms 0 - 13 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® QCM6690 2.917 ms 0 - 43 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® QCS8450 (Proxy) 0.615 ms 0 - 67 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® SA7255P 1.089 ms 0 - 47 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Qualcomm® SA8295P 0.826 ms 0 - 43 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.244 ms 0 - 41 MB NPU
Facial-Attribute-Detection TFLITE w8a8 Snapdragon® 7 Gen 4 Mobile 0.497 ms 0 - 43 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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