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® 8 Elite Gen 5 Mobile 0.211 ms 0 - 23 MB NPU
Facial-Landmark-Detection ONNX float Snapdragon® X2 Elite 0.163 ms 10 - 10 MB NPU
Facial-Landmark-Detection ONNX float Snapdragon® X Elite 0.395 ms 10 - 10 MB NPU
Facial-Landmark-Detection ONNX float Snapdragon® 8 Gen 3 Mobile 0.246 ms 0 - 29 MB NPU
Facial-Landmark-Detection ONNX float Qualcomm® QCS8550 (Proxy) 0.322 ms 0 - 37 MB NPU
Facial-Landmark-Detection ONNX float Qualcomm® QCS9075 0.427 ms 0 - 3 MB NPU
Facial-Landmark-Detection ONNX float Snapdragon® 8 Elite For Galaxy Mobile 0.229 ms 0 - 18 MB NPU
Facial-Landmark-Detection ONNX w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.118 ms 0 - 23 MB NPU
Facial-Landmark-Detection ONNX w8a8 Snapdragon® X2 Elite 0.077 ms 5 - 5 MB NPU
Facial-Landmark-Detection ONNX w8a8 Snapdragon® X Elite 0.249 ms 5 - 5 MB NPU
Facial-Landmark-Detection ONNX w8a8 Snapdragon® 8 Gen 3 Mobile 0.134 ms 0 - 37 MB NPU
Facial-Landmark-Detection ONNX w8a8 Qualcomm® QCS6490 2.872 ms 1 - 8 MB CPU
Facial-Landmark-Detection ONNX w8a8 Qualcomm® QCS8550 (Proxy) 0.174 ms 0 - 2 MB NPU
Facial-Landmark-Detection ONNX w8a8 Qualcomm® QCS9075 0.258 ms 0 - 3 MB NPU
Facial-Landmark-Detection ONNX w8a8 Qualcomm® QCM6690 1.723 ms 0 - 6 MB CPU
Facial-Landmark-Detection ONNX w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.116 ms 0 - 20 MB NPU
Facial-Landmark-Detection ONNX w8a8 Snapdragon® 7 Gen 4 Mobile 1.276 ms 0 - 7 MB CPU
Facial-Landmark-Detection QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 0.188 ms 0 - 24 MB NPU
Facial-Landmark-Detection QNN_DLC float Snapdragon® X2 Elite 0.245 ms 0 - 0 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 0.224 ms 0 - 29 MB NPU
Facial-Landmark-Detection QNN_DLC float Qualcomm® QCS8275 (Proxy) 1.118 ms 0 - 20 MB NPU
Facial-Landmark-Detection QNN_DLC float Qualcomm® QCS8550 (Proxy) 0.293 ms 0 - 59 MB NPU
Facial-Landmark-Detection QNN_DLC float Qualcomm® SA8775P 0.502 ms 0 - 22 MB NPU
Facial-Landmark-Detection QNN_DLC float Qualcomm® QCS9075 0.394 ms 2 - 4 MB NPU
Facial-Landmark-Detection QNN_DLC float Qualcomm® QCS8450 (Proxy) 0.55 ms 0 - 30 MB NPU
Facial-Landmark-Detection QNN_DLC float Qualcomm® SA7255P 1.118 ms 0 - 20 MB NPU
Facial-Landmark-Detection QNN_DLC float Qualcomm® SA8295P 0.673 ms 0 - 17 MB NPU
Facial-Landmark-Detection QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 0.202 ms 0 - 20 MB NPU
Facial-Landmark-Detection QNN_DLC w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.12 ms 0 - 22 MB NPU
Facial-Landmark-Detection QNN_DLC w8a8 Snapdragon® X2 Elite 0.164 ms 0 - 0 MB NPU
Facial-Landmark-Detection QNN_DLC w8a8 Snapdragon® X Elite 0.235 ms 0 - 0 MB NPU
Facial-Landmark-Detection QNN_DLC w8a8 Snapdragon® 8 Gen 3 Mobile 0.136 ms 0 - 35 MB NPU
Facial-Landmark-Detection QNN_DLC w8a8 Qualcomm® QCS6490 0.699 ms 0 - 2 MB NPU
Facial-Landmark-Detection QNN_DLC w8a8 Qualcomm® QCS8275 (Proxy) 0.46 ms 0 - 21 MB NPU
Facial-Landmark-Detection QNN_DLC w8a8 Qualcomm® QCS8550 (Proxy) 0.168 ms 0 - 1 MB NPU
Facial-Landmark-Detection QNN_DLC w8a8 Qualcomm® SA8775P 0.936 ms 0 - 21 MB NPU
Facial-Landmark-Detection QNN_DLC w8a8 Qualcomm® QCS9075 0.236 ms 0 - 2 MB NPU
Facial-Landmark-Detection QNN_DLC w8a8 Qualcomm® QCM6690 0.598 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 0.46 ms 0 - 21 MB NPU
Facial-Landmark-Detection QNN_DLC w8a8 Qualcomm® SA8295P 0.469 ms 0 - 17 MB NPU
Facial-Landmark-Detection QNN_DLC w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.122 ms 0 - 23 MB NPU
Facial-Landmark-Detection QNN_DLC w8a8 Snapdragon® 7 Gen 4 Mobile 0.22 ms 0 - 23 MB NPU
Facial-Landmark-Detection TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 0.19 ms 0 - 24 MB NPU
Facial-Landmark-Detection TFLITE float Snapdragon® 8 Gen 3 Mobile 0.222 ms 0 - 41 MB NPU
Facial-Landmark-Detection TFLITE float Qualcomm® QCS8275 (Proxy) 1.147 ms 0 - 23 MB NPU
Facial-Landmark-Detection TFLITE float Qualcomm® QCS8550 (Proxy) 0.283 ms 0 - 113 MB NPU
Facial-Landmark-Detection TFLITE float Qualcomm® SA8775P 0.493 ms 0 - 24 MB NPU
Facial-Landmark-Detection TFLITE float Qualcomm® QCS9075 0.384 ms 0 - 12 MB NPU
Facial-Landmark-Detection TFLITE float Qualcomm® QCS8450 (Proxy) 0.485 ms 0 - 41 MB NPU
Facial-Landmark-Detection TFLITE float Qualcomm® SA7255P 1.147 ms 0 - 23 MB NPU
Facial-Landmark-Detection TFLITE float Qualcomm® SA8295P 0.678 ms 0 - 19 MB NPU
Facial-Landmark-Detection TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 0.198 ms 0 - 21 MB NPU
Facial-Landmark-Detection TFLITE w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.12 ms 0 - 22 MB NPU
Facial-Landmark-Detection TFLITE w8a8 Snapdragon® 8 Gen 3 Mobile 0.139 ms 0 - 36 MB NPU
Facial-Landmark-Detection TFLITE w8a8 Qualcomm® QCS6490 0.572 ms 0 - 7 MB NPU
Facial-Landmark-Detection TFLITE w8a8 Qualcomm® QCS8275 (Proxy) 0.477 ms 0 - 20 MB NPU
Facial-Landmark-Detection TFLITE w8a8 Qualcomm® QCS8550 (Proxy) 0.171 ms 0 - 1 MB NPU
Facial-Landmark-Detection TFLITE w8a8 Qualcomm® SA8775P 0.331 ms 0 - 21 MB NPU
Facial-Landmark-Detection TFLITE w8a8 Qualcomm® QCS9075 0.228 ms 0 - 7 MB NPU
Facial-Landmark-Detection TFLITE w8a8 Qualcomm® QCM6690 0.593 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 0.477 ms 0 - 20 MB NPU
Facial-Landmark-Detection TFLITE w8a8 Qualcomm® SA8295P 0.468 ms 0 - 17 MB NPU
Facial-Landmark-Detection TFLITE w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.124 ms 0 - 23 MB NPU
Facial-Landmark-Detection TFLITE w8a8 Snapdragon® 7 Gen 4 Mobile 0.217 ms 0 - 23 MB NPU

License

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

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