Facial-Landmark-Detection: Optimized for Qualcomm Devices

Detects facial landmarks (eg, nose, mouth, etc.). 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-Landmark-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-Landmark-Detection on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.pose_estimation

Model Stats:

• Input resolution: 128x128
• Number of parameters: 5.42M
• Model size (float): 20.7 MB
• Model size (w8a8): 5.27 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
Facial-Landmark-Detection	ONNX	float	Snapdragon® X Elite	0.394 ms	10 - 10 MB	NPU
Facial-Landmark-Detection	ONNX	float	Snapdragon® 8 Gen 3 Mobile	0.241 ms	0 - 29 MB	NPU
Facial-Landmark-Detection	ONNX	float	Qualcomm® QCS8550 (Proxy)	0.32 ms	0 - 32 MB	NPU
Facial-Landmark-Detection	ONNX	float	Qualcomm® QCS9075	0.436 ms	0 - 3 MB	NPU
Facial-Landmark-Detection	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	0.225 ms	0 - 24 MB	NPU
Facial-Landmark-Detection	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	0.208 ms	0 - 23 MB	NPU
Facial-Landmark-Detection	ONNX	float	Snapdragon® X2 Elite	0.168 ms	10 - 10 MB	NPU
Facial-Landmark-Detection	ONNX	w8a8	Snapdragon® X Elite	0.237 ms	5 - 5 MB	NPU
Facial-Landmark-Detection	ONNX	w8a8	Snapdragon® 8 Gen 3 Mobile	0.139 ms	0 - 38 MB	NPU
Facial-Landmark-Detection	ONNX	w8a8	Qualcomm® QCS6490	3.099 ms	1 - 8 MB	CPU
Facial-Landmark-Detection	ONNX	w8a8	Qualcomm® QCS8550 (Proxy)	0.173 ms	0 - 8 MB	NPU
Facial-Landmark-Detection	ONNX	w8a8	Qualcomm® QCS9075	0.247 ms	0 - 3 MB	NPU
Facial-Landmark-Detection	ONNX	w8a8	Qualcomm® QCM6690	1.684 ms	0 - 6 MB	CPU
Facial-Landmark-Detection	ONNX	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.12 ms	0 - 20 MB	NPU
Facial-Landmark-Detection	ONNX	w8a8	Snapdragon® 7 Gen 4 Mobile	1.271 ms	0 - 7 MB	CPU
Facial-Landmark-Detection	ONNX	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.111 ms	0 - 23 MB	NPU
Facial-Landmark-Detection	ONNX	w8a8	Snapdragon® X2 Elite	0.077 ms	5 - 5 MB	NPU
Facial-Landmark-Detection	QNN_DLC	float	Snapdragon® X Elite	0.374 ms	0 - 0 MB	NPU
Facial-Landmark-Detection	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	0.223 ms	0 - 30 MB	NPU
Facial-Landmark-Detection	QNN_DLC	float	Qualcomm® QCS8275 (Proxy)	1.123 ms	0 - 21 MB	NPU
Facial-Landmark-Detection	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	0.294 ms	0 - 2 MB	NPU
Facial-Landmark-Detection	QNN_DLC	float	Qualcomm® SA8775P	0.5 ms	0 - 22 MB	NPU
Facial-Landmark-Detection	QNN_DLC	float	Qualcomm® QCS9075	0.391 ms	0 - 2 MB	NPU
Facial-Landmark-Detection	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	0.549 ms	0 - 30 MB	NPU
Facial-Landmark-Detection	QNN_DLC	float	Qualcomm® SA7255P	1.123 ms	0 - 21 MB	NPU
Facial-Landmark-Detection	QNN_DLC	float	Qualcomm® SA8295P	0.688 ms	0 - 17 MB	NPU
Facial-Landmark-Detection	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	0.197 ms	0 - 20 MB	NPU
Facial-Landmark-Detection	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	0.189 ms	0 - 23 MB	NPU
Facial-Landmark-Detection	QNN_DLC	float	Snapdragon® X2 Elite	0.246 ms	0 - 0 MB	NPU
Facial-Landmark-Detection	QNN_DLC	w8a8	Snapdragon® X Elite	0.237 ms	0 - 0 MB	NPU
Facial-Landmark-Detection	QNN_DLC	w8a8	Snapdragon® 8 Gen 3 Mobile	0.14 ms	0 - 36 MB	NPU
Facial-Landmark-Detection	QNN_DLC	w8a8	Qualcomm® QCS6490	0.708 ms	0 - 2 MB	NPU
Facial-Landmark-Detection	QNN_DLC	w8a8	Qualcomm® QCS8275 (Proxy)	0.453 ms	0 - 20 MB	NPU
Facial-Landmark-Detection	QNN_DLC	w8a8	Qualcomm® QCS8550 (Proxy)	0.163 ms	0 - 1 MB	NPU
Facial-Landmark-Detection	QNN_DLC	w8a8	Qualcomm® SA8775P	0.323 ms	0 - 21 MB	NPU
Facial-Landmark-Detection	QNN_DLC	w8a8	Qualcomm® QCS9075	0.225 ms	0 - 2 MB	NPU
Facial-Landmark-Detection	QNN_DLC	w8a8	Qualcomm® QCM6690	0.595 ms	0 - 23 MB	NPU
Facial-Landmark-Detection	QNN_DLC	w8a8	Qualcomm® QCS8450 (Proxy)	0.238 ms	0 - 37 MB	NPU
Facial-Landmark-Detection	QNN_DLC	w8a8	Qualcomm® SA7255P	0.453 ms	0 - 20 MB	NPU
Facial-Landmark-Detection	QNN_DLC	w8a8	Qualcomm® SA8295P	0.457 ms	0 - 17 MB	NPU
Facial-Landmark-Detection	QNN_DLC	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.113 ms	0 - 19 MB	NPU
Facial-Landmark-Detection	QNN_DLC	w8a8	Snapdragon® 7 Gen 4 Mobile	0.214 ms	2 - 25 MB	NPU
Facial-Landmark-Detection	QNN_DLC	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.11 ms	0 - 22 MB	NPU
Facial-Landmark-Detection	QNN_DLC	w8a8	Snapdragon® X2 Elite	0.166 ms	0 - 0 MB	NPU
Facial-Landmark-Detection	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	0.224 ms	0 - 41 MB	NPU
Facial-Landmark-Detection	TFLITE	float	Qualcomm® QCS8275 (Proxy)	1.156 ms	0 - 22 MB	NPU
Facial-Landmark-Detection	TFLITE	float	Qualcomm® QCS8550 (Proxy)	0.282 ms	0 - 2 MB	NPU
Facial-Landmark-Detection	TFLITE	float	Qualcomm® SA8775P	0.498 ms	0 - 24 MB	NPU
Facial-Landmark-Detection	TFLITE	float	Qualcomm® QCS9075	0.382 ms	0 - 12 MB	NPU
Facial-Landmark-Detection	TFLITE	float	Qualcomm® QCS8450 (Proxy)	0.474 ms	0 - 41 MB	NPU
Facial-Landmark-Detection	TFLITE	float	Qualcomm® SA7255P	1.156 ms	0 - 22 MB	NPU
Facial-Landmark-Detection	TFLITE	float	Qualcomm® SA8295P	0.682 ms	0 - 18 MB	NPU
Facial-Landmark-Detection	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	0.195 ms	0 - 21 MB	NPU
Facial-Landmark-Detection	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	0.192 ms	0 - 24 MB	NPU
Facial-Landmark-Detection	TFLITE	w8a8	Snapdragon® 8 Gen 3 Mobile	0.136 ms	0 - 36 MB	NPU
Facial-Landmark-Detection	TFLITE	w8a8	Qualcomm® QCS6490	0.59 ms	0 - 7 MB	NPU
Facial-Landmark-Detection	TFLITE	w8a8	Qualcomm® QCS8275 (Proxy)	0.483 ms	0 - 20 MB	NPU
Facial-Landmark-Detection	TFLITE	w8a8	Qualcomm® QCS8550 (Proxy)	0.169 ms	0 - 1 MB	NPU
Facial-Landmark-Detection	TFLITE	w8a8	Qualcomm® SA8775P	0.335 ms	0 - 21 MB	NPU
Facial-Landmark-Detection	TFLITE	w8a8	Qualcomm® QCS9075	0.227 ms	0 - 7 MB	NPU
Facial-Landmark-Detection	TFLITE	w8a8	Qualcomm® QCM6690	0.599 ms	0 - 22 MB	NPU
Facial-Landmark-Detection	TFLITE	w8a8	Qualcomm® QCS8450 (Proxy)	0.239 ms	0 - 37 MB	NPU
Facial-Landmark-Detection	TFLITE	w8a8	Qualcomm® SA7255P	0.483 ms	0 - 20 MB	NPU
Facial-Landmark-Detection	TFLITE	w8a8	Qualcomm® SA8295P	0.485 ms	0 - 17 MB	NPU
Facial-Landmark-Detection	TFLITE	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.123 ms	0 - 18 MB	NPU
Facial-Landmark-Detection	TFLITE	w8a8	Snapdragon® 7 Gen 4 Mobile	0.219 ms	0 - 23 MB	NPU
Facial-Landmark-Detection	TFLITE	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.118 ms	0 - 22 MB	NPU

License

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

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.