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.
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.
