HRNetFace: Optimized for Qualcomm Devices

Detects attributes (liveness, eye closeness, mask presence, glasses presence, sunglasses presence) that apply to a given face.

This is based on the implementation of HRNetFace 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 2.37, 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 HRNetFace 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 HRNetFace on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.object_detection

Model Stats:

• Model checkpoint: HR18-COFW.pth
• Input resolution: 256x256
• Number of parameters: 9.68M
• Model size (float): 36.87MB
• Model size (w8a8): 17.7 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
HRNetFace	ONNX	float	Snapdragon® X Elite	3.233 ms	30 - 30 MB	NPU
HRNetFace	ONNX	float	Snapdragon® 8 Gen 3 Mobile	2.296 ms	0 - 203 MB	NPU
HRNetFace	ONNX	float	Qualcomm® QCS8550 (Proxy)	3.221 ms	1 - 3 MB	NPU
HRNetFace	ONNX	float	Qualcomm® QCS9075	4.954 ms	2 - 4 MB	NPU
HRNetFace	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	1.917 ms	0 - 146 MB	NPU
HRNetFace	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	1.551 ms	0 - 146 MB	NPU
HRNetFace	ONNX	w8a8	Snapdragon® X Elite	1.545 ms	15 - 15 MB	NPU
HRNetFace	ONNX	w8a8	Snapdragon® 8 Gen 3 Mobile	1.166 ms	0 - 213 MB	NPU
HRNetFace	ONNX	w8a8	Qualcomm® QCS6490	91.814 ms	18 - 37 MB	CPU
HRNetFace	ONNX	w8a8	Qualcomm® QCS8550 (Proxy)	1.612 ms	0 - 30 MB	NPU
HRNetFace	ONNX	w8a8	Qualcomm® QCS9075	1.791 ms	0 - 3 MB	NPU
HRNetFace	ONNX	w8a8	Qualcomm® QCM6690	49.183 ms	18 - 35 MB	CPU
HRNetFace	ONNX	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.913 ms	0 - 163 MB	NPU
HRNetFace	ONNX	w8a8	Snapdragon® 7 Gen 4 Mobile	45.82 ms	19 - 37 MB	CPU
HRNetFace	ONNX	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.774 ms	0 - 165 MB	NPU
HRNetFace	QNN_DLC	float	Snapdragon® X Elite	3.707 ms	1 - 1 MB	NPU
HRNetFace	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	2.379 ms	1 - 125 MB	NPU
HRNetFace	QNN_DLC	float	Qualcomm® QCS8275 (Proxy)	15.608 ms	1 - 76 MB	NPU
HRNetFace	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	3.313 ms	1 - 34 MB	NPU
HRNetFace	QNN_DLC	float	Qualcomm® SA8775P	5.144 ms	1 - 80 MB	NPU
HRNetFace	QNN_DLC	float	Qualcomm® QCS9075	5.092 ms	3 - 6 MB	NPU
HRNetFace	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	4.973 ms	0 - 105 MB	NPU
HRNetFace	QNN_DLC	float	Qualcomm® SA7255P	15.608 ms	1 - 76 MB	NPU
HRNetFace	QNN_DLC	float	Qualcomm® SA8295P	5.681 ms	1 - 62 MB	NPU
HRNetFace	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	1.795 ms	0 - 78 MB	NPU
HRNetFace	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	1.416 ms	1 - 81 MB	NPU
HRNetFace	QNN_DLC	w8a8	Snapdragon® X Elite	1.605 ms	0 - 0 MB	NPU
HRNetFace	QNN_DLC	w8a8	Snapdragon® 8 Gen 3 Mobile	0.957 ms	0 - 109 MB	NPU
HRNetFace	QNN_DLC	w8a8	Qualcomm® QCS6490	3.864 ms	0 - 2 MB	NPU
HRNetFace	QNN_DLC	w8a8	Qualcomm® QCS8275 (Proxy)	3.373 ms	0 - 71 MB	NPU
HRNetFace	QNN_DLC	w8a8	Qualcomm® QCS8550 (Proxy)	1.387 ms	0 - 6 MB	NPU
HRNetFace	QNN_DLC	w8a8	Qualcomm® SA8775P	1.761 ms	0 - 72 MB	NPU
HRNetFace	QNN_DLC	w8a8	Qualcomm® QCS9075	1.631 ms	2 - 4 MB	NPU
HRNetFace	QNN_DLC	w8a8	Qualcomm® QCM6690	10.678 ms	0 - 195 MB	NPU
HRNetFace	QNN_DLC	w8a8	Qualcomm® QCS8450 (Proxy)	1.88 ms	0 - 107 MB	NPU
HRNetFace	QNN_DLC	w8a8	Qualcomm® SA7255P	3.373 ms	0 - 71 MB	NPU
HRNetFace	QNN_DLC	w8a8	Qualcomm® SA8295P	2.286 ms	0 - 68 MB	NPU
HRNetFace	QNN_DLC	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.688 ms	0 - 72 MB	NPU
HRNetFace	QNN_DLC	w8a8	Snapdragon® 7 Gen 4 Mobile	1.659 ms	0 - 78 MB	NPU
HRNetFace	QNN_DLC	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.553 ms	0 - 72 MB	NPU
HRNetFace	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	2.172 ms	0 - 144 MB	NPU
HRNetFace	TFLITE	float	Qualcomm® QCS8275 (Proxy)	15.341 ms	0 - 96 MB	NPU
HRNetFace	TFLITE	float	Qualcomm® QCS8550 (Proxy)	2.976 ms	0 - 3 MB	NPU
HRNetFace	TFLITE	float	Qualcomm® SA8775P	4.875 ms	0 - 97 MB	NPU
HRNetFace	TFLITE	float	Qualcomm® QCS9075	4.725 ms	0 - 35 MB	NPU
HRNetFace	TFLITE	float	Qualcomm® QCS8450 (Proxy)	4.511 ms	0 - 127 MB	NPU
HRNetFace	TFLITE	float	Qualcomm® SA7255P	15.341 ms	0 - 96 MB	NPU
HRNetFace	TFLITE	float	Qualcomm® SA8295P	5.359 ms	0 - 75 MB	NPU
HRNetFace	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	1.667 ms	0 - 96 MB	NPU
HRNetFace	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	1.332 ms	0 - 99 MB	NPU
HRNetFace	TFLITE	w8a8	Snapdragon® 8 Gen 3 Mobile	0.868 ms	0 - 117 MB	NPU
HRNetFace	TFLITE	w8a8	Qualcomm® QCS6490	3.487 ms	0 - 18 MB	NPU
HRNetFace	TFLITE	w8a8	Qualcomm® QCS8275 (Proxy)	3.214 ms	0 - 73 MB	NPU
HRNetFace	TFLITE	w8a8	Qualcomm® QCS8550 (Proxy)	1.268 ms	0 - 5 MB	NPU
HRNetFace	TFLITE	w8a8	Qualcomm® SA8775P	6.374 ms	0 - 75 MB	NPU
HRNetFace	TFLITE	w8a8	Qualcomm® QCS9075	1.475 ms	0 - 18 MB	NPU
HRNetFace	TFLITE	w8a8	Qualcomm® QCM6690	10.058 ms	0 - 190 MB	NPU
HRNetFace	TFLITE	w8a8	Qualcomm® QCS8450 (Proxy)	1.73 ms	0 - 108 MB	NPU
HRNetFace	TFLITE	w8a8	Qualcomm® SA7255P	3.214 ms	0 - 73 MB	NPU
HRNetFace	TFLITE	w8a8	Qualcomm® SA8295P	2.18 ms	0 - 68 MB	NPU
HRNetFace	TFLITE	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.671 ms	0 - 73 MB	NPU
HRNetFace	TFLITE	w8a8	Snapdragon® 7 Gen 4 Mobile	1.563 ms	0 - 72 MB	NPU
HRNetFace	TFLITE	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.567 ms	0 - 75 MB	NPU

License

• The license for the original implementation of HRNetFace can be found here.

References

• Deep High-Resolution Representation Learning for Visual Recognition
• Source Model Implementation

Community

• Join our AI Hub Slack community to collaborate, post questions and learn more about on-device AI.
• For questions or feedback please reach out to us.