MediaPipe-Face-Detection: Optimized for Mobile Deployment
Detect faces and locate facial features in real-time video and image streams
Designed for sub-millisecond processing, this model predicts bounding boxes and pose skeletons (left eye, right eye, nose tip, mouth, left eye tragion, and right eye tragion) of faces in an image.
This model is an implementation of MediaPipe-Face-Detection found here.
This repository provides scripts to run MediaPipe-Face-Detection on Qualcomm® devices. More details on model performance across various devices, can be found here.
Model Details
- Model Type: Model_use_case.object_detection
- Model Stats:
- Input resolution: 256x256
- Number of parameters (MediaPipeFaceDetector): 135K
- Model size (MediaPipeFaceDetector): 565 KB
- Number of parameters (MediaPipeFaceLandmarkDetector): 603K
- Model size (MediaPipeFaceLandmarkDetector): 2.34 MB
- Number of output classes: 6
Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model |
---|---|---|---|---|---|---|---|---|
FaceDetector | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 18.759 ms | 0 - 14 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 18.64 ms | 1 - 10 MB | NPU | Use Export Script |
FaceDetector | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 0.817 ms | 0 - 23 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN | 0.808 ms | 1 - 26 MB | NPU | Use Export Script |
FaceDetector | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 0.548 ms | 0 - 6 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 0.537 ms | 1 - 3 MB | NPU | Use Export Script |
FaceDetector | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 1.081 ms | 0 - 17 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 1.009 ms | 1 - 15 MB | NPU | Use Export Script |
FaceDetector | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 18.759 ms | 0 - 14 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | float | SA7255P ADP | Qualcomm® SA7255P | QNN | 18.64 ms | 1 - 10 MB | NPU | Use Export Script |
FaceDetector | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 0.553 ms | 0 - 6 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN | 0.536 ms | 1 - 3 MB | NPU | Use Export Script |
FaceDetector | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 1.138 ms | 0 - 19 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | float | SA8295P ADP | Qualcomm® SA8295P | QNN | 1.064 ms | 0 - 18 MB | NPU | Use Export Script |
FaceDetector | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 0.549 ms | 0 - 7 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN | 0.536 ms | 1 - 3 MB | NPU | Use Export Script |
FaceDetector | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 1.081 ms | 0 - 17 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | float | SA8775P ADP | Qualcomm® SA8775P | QNN | 1.009 ms | 1 - 15 MB | NPU | Use Export Script |
FaceDetector | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 0.554 ms | 0 - 6 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 0.541 ms | 2 - 8 MB | NPU | Use Export Script |
FaceDetector | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 0.835 ms | 2 - 9 MB | NPU | MediaPipe-Face-Detection.onnx |
FaceDetector | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 0.396 ms | 0 - 27 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 0.39 ms | 0 - 27 MB | NPU | Use Export Script |
FaceDetector | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 0.574 ms | 0 - 21 MB | NPU | MediaPipe-Face-Detection.onnx |
FaceDetector | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 0.414 ms | 0 - 25 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 0.327 ms | 0 - 21 MB | NPU | Use Export Script |
FaceDetector | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 0.495 ms | 1 - 24 MB | NPU | MediaPipe-Face-Detection.onnx |
FaceDetector | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 0.682 ms | 1 - 1 MB | NPU | Use Export Script |
FaceDetector | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 0.891 ms | 2 - 2 MB | NPU | MediaPipe-Face-Detection.onnx |
FaceLandmarkDetector | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 0.861 ms | 0 - 12 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 0.877 ms | 0 - 10 MB | NPU | Use Export Script |
FaceLandmarkDetector | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 0.338 ms | 0 - 24 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN | 0.407 ms | 0 - 27 MB | NPU | Use Export Script |
FaceLandmarkDetector | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 0.199 ms | 0 - 5 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 0.214 ms | 0 - 4 MB | NPU | Use Export Script |
FaceLandmarkDetector | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 0.456 ms | 0 - 16 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 0.447 ms | 0 - 15 MB | NPU | Use Export Script |
FaceLandmarkDetector | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 0.861 ms | 0 - 12 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | float | SA7255P ADP | Qualcomm® SA7255P | QNN | 0.877 ms | 0 - 10 MB | NPU | Use Export Script |
FaceLandmarkDetector | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 0.194 ms | 0 - 8 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN | 0.22 ms | 0 - 3 MB | NPU | Use Export Script |
FaceLandmarkDetector | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 0.543 ms | 0 - 14 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | float | SA8295P ADP | Qualcomm® SA8295P | QNN | 0.579 ms | 0 - 18 MB | NPU | Use Export Script |
FaceLandmarkDetector | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 0.198 ms | 0 - 7 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN | 0.215 ms | 0 - 3 MB | NPU | Use Export Script |
FaceLandmarkDetector | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 0.456 ms | 0 - 16 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | float | SA8775P ADP | Qualcomm® SA8775P | QNN | 0.447 ms | 0 - 15 MB | NPU | Use Export Script |
FaceLandmarkDetector | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 0.197 ms | 0 - 8 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 0.223 ms | 0 - 8 MB | NPU | Use Export Script |
FaceLandmarkDetector | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 0.369 ms | 0 - 7 MB | NPU | MediaPipe-Face-Detection.onnx |
FaceLandmarkDetector | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 0.142 ms | 0 - 19 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 0.165 ms | 0 - 25 MB | NPU | Use Export Script |
FaceLandmarkDetector | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 0.287 ms | 0 - 27 MB | NPU | MediaPipe-Face-Detection.onnx |
FaceLandmarkDetector | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 0.15 ms | 0 - 19 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 0.16 ms | 0 - 17 MB | NPU | Use Export Script |
FaceLandmarkDetector | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 0.248 ms | 0 - 19 MB | NPU | MediaPipe-Face-Detection.onnx |
FaceLandmarkDetector | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 0.297 ms | 0 - 0 MB | NPU | Use Export Script |
FaceLandmarkDetector | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 0.378 ms | 0 - 0 MB | NPU | MediaPipe-Face-Detection.onnx |
FaceDetector | w8a8 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 0.667 ms | 0 - 17 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | w8a8 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 0.665 ms | 0 - 10 MB | NPU | Use Export Script |
FaceDetector | w8a8 | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 0.36 ms | 0 - 26 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | w8a8 | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN | 0.35 ms | 0 - 26 MB | NPU | Use Export Script |
FaceDetector | w8a8 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 0.224 ms | 0 - 12 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | w8a8 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 0.233 ms | 0 - 3 MB | NPU | Use Export Script |
FaceDetector | w8a8 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 0.449 ms | 0 - 19 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | w8a8 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 0.423 ms | 0 - 15 MB | NPU | Use Export Script |
FaceDetector | w8a8 | RB3 Gen 2 (Proxy) | Qualcomm® QCS6490 (Proxy) | TFLITE | 0.608 ms | 0 - 26 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | w8a8 | RB3 Gen 2 (Proxy) | Qualcomm® QCS6490 (Proxy) | QNN | 0.654 ms | 0 - 12 MB | NPU | Use Export Script |
FaceDetector | w8a8 | RB5 (Proxy) | Qualcomm® QCS8250 (Proxy) | TFLITE | 5.175 ms | 0 - 3 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | w8a8 | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 0.667 ms | 0 - 17 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | w8a8 | SA7255P ADP | Qualcomm® SA7255P | QNN | 0.665 ms | 0 - 10 MB | NPU | Use Export Script |
FaceDetector | w8a8 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 0.234 ms | 0 - 12 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | w8a8 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN | 0.239 ms | 0 - 3 MB | NPU | Use Export Script |
FaceDetector | w8a8 | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 0.59 ms | 0 - 22 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | w8a8 | SA8295P ADP | Qualcomm® SA8295P | QNN | 0.556 ms | 0 - 20 MB | NPU | Use Export Script |
FaceDetector | w8a8 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 0.237 ms | 0 - 12 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | w8a8 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN | 0.224 ms | 0 - 3 MB | NPU | Use Export Script |
FaceDetector | w8a8 | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 0.449 ms | 0 - 19 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | w8a8 | SA8775P ADP | Qualcomm® SA8775P | QNN | 0.423 ms | 0 - 15 MB | NPU | Use Export Script |
FaceDetector | w8a8 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 0.237 ms | 0 - 13 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | w8a8 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 0.227 ms | 0 - 12 MB | NPU | Use Export Script |
FaceDetector | w8a8 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 0.381 ms | 0 - 12 MB | NPU | MediaPipe-Face-Detection.onnx |
FaceDetector | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 0.155 ms | 0 - 31 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 0.145 ms | 0 - 28 MB | NPU | Use Export Script |
FaceDetector | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 0.241 ms | 0 - 35 MB | NPU | MediaPipe-Face-Detection.onnx |
FaceDetector | w8a8 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 0.189 ms | 0 - 23 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceDetector | w8a8 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 0.132 ms | 0 - 23 MB | NPU | Use Export Script |
FaceDetector | w8a8 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 0.283 ms | 0 - 26 MB | NPU | MediaPipe-Face-Detection.onnx |
FaceDetector | w8a8 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 0.324 ms | 0 - 0 MB | NPU | Use Export Script |
FaceDetector | w8a8 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 0.374 ms | 1 - 1 MB | NPU | MediaPipe-Face-Detection.onnx |
FaceLandmarkDetector | w8a8 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 0.808 ms | 0 - 13 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | w8a8 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 0.479 ms | 0 - 10 MB | NPU | Use Export Script |
FaceLandmarkDetector | w8a8 | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 0.261 ms | 0 - 22 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | w8a8 | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN | 0.269 ms | 0 - 22 MB | NPU | Use Export Script |
FaceLandmarkDetector | w8a8 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 0.159 ms | 0 - 10 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | w8a8 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 0.152 ms | 0 - 3 MB | NPU | Use Export Script |
FaceLandmarkDetector | w8a8 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 0.346 ms | 0 - 15 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | w8a8 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 0.332 ms | 0 - 15 MB | NPU | Use Export Script |
FaceLandmarkDetector | w8a8 | RB3 Gen 2 (Proxy) | Qualcomm® QCS6490 (Proxy) | TFLITE | 0.374 ms | 0 - 17 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | w8a8 | RB3 Gen 2 (Proxy) | Qualcomm® QCS6490 (Proxy) | QNN | 0.424 ms | 0 - 12 MB | NPU | Use Export Script |
FaceLandmarkDetector | w8a8 | RB5 (Proxy) | Qualcomm® QCS8250 (Proxy) | TFLITE | 2.559 ms | 0 - 3 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | w8a8 | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 0.808 ms | 0 - 13 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | w8a8 | SA7255P ADP | Qualcomm® SA7255P | QNN | 0.479 ms | 0 - 10 MB | NPU | Use Export Script |
FaceLandmarkDetector | w8a8 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 0.161 ms | 0 - 11 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | w8a8 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN | 0.151 ms | 0 - 2 MB | NPU | Use Export Script |
FaceLandmarkDetector | w8a8 | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 0.455 ms | 0 - 18 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | w8a8 | SA8295P ADP | Qualcomm® SA8295P | QNN | 0.461 ms | 0 - 18 MB | NPU | Use Export Script |
FaceLandmarkDetector | w8a8 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 0.156 ms | 0 - 11 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | w8a8 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN | 0.144 ms | 0 - 3 MB | NPU | Use Export Script |
FaceLandmarkDetector | w8a8 | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 0.346 ms | 0 - 15 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | w8a8 | SA8775P ADP | Qualcomm® SA8775P | QNN | 0.332 ms | 0 - 15 MB | NPU | Use Export Script |
FaceLandmarkDetector | w8a8 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 0.164 ms | 0 - 5 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | w8a8 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 0.149 ms | 0 - 10 MB | NPU | Use Export Script |
FaceLandmarkDetector | w8a8 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 0.303 ms | 0 - 12 MB | NPU | MediaPipe-Face-Detection.onnx |
FaceLandmarkDetector | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 0.121 ms | 0 - 23 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 0.12 ms | 0 - 21 MB | NPU | Use Export Script |
FaceLandmarkDetector | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 0.213 ms | 0 - 24 MB | NPU | MediaPipe-Face-Detection.onnx |
FaceLandmarkDetector | w8a8 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 0.124 ms | 0 - 18 MB | NPU | MediaPipe-Face-Detection.tflite |
FaceLandmarkDetector | w8a8 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 0.119 ms | 0 - 19 MB | NPU | Use Export Script |
FaceLandmarkDetector | w8a8 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 0.248 ms | 0 - 21 MB | NPU | MediaPipe-Face-Detection.onnx |
FaceLandmarkDetector | w8a8 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 0.241 ms | 0 - 0 MB | NPU | Use Export Script |
FaceLandmarkDetector | w8a8 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 0.301 ms | 0 - 0 MB | NPU | MediaPipe-Face-Detection.onnx |
Installation
Install the package via pip:
pip install qai-hub-models
Configure Qualcomm® AI Hub to run this model on a cloud-hosted device
Sign-in to Qualcomm® AI Hub with your
Qualcomm® ID. Once signed in navigate to Account -> Settings -> API Token
.
With this API token, you can configure your client to run models on the cloud hosted devices.
qai-hub configure --api_token API_TOKEN
Navigate to docs for more information.
Demo off target
The package contains a simple end-to-end demo that downloads pre-trained weights and runs this model on a sample input.
python -m qai_hub_models.models.mediapipe_face.demo
The above demo runs a reference implementation of pre-processing, model inference, and post processing.
NOTE: If you want running in a Jupyter Notebook or Google Colab like environment, please add the following to your cell (instead of the above).
%run -m qai_hub_models.models.mediapipe_face.demo
Run model on a cloud-hosted device
In addition to the demo, you can also run the model on a cloud-hosted Qualcomm® device. This script does the following:
- Performance check on-device on a cloud-hosted device
- Downloads compiled assets that can be deployed on-device for Android.
- Accuracy check between PyTorch and on-device outputs.
python -m qai_hub_models.models.mediapipe_face.export
Profiling Results
------------------------------------------------------------
FaceDetector
Device : cs_8275 (ANDROID 14)
Runtime : TFLITE
Estimated inference time (ms) : 0.7
Estimated peak memory usage (MB): [0, 17]
Total # Ops : 114
Compute Unit(s) : npu (114 ops) gpu (0 ops) cpu (0 ops)
------------------------------------------------------------
FaceLandmarkDetector
Device : cs_8275 (ANDROID 14)
Runtime : TFLITE
Estimated inference time (ms) : 0.8
Estimated peak memory usage (MB): [0, 13]
Total # Ops : 108
Compute Unit(s) : npu (108 ops) gpu (0 ops) cpu (0 ops)
How does this work?
This export script leverages Qualcomm® AI Hub to optimize, validate, and deploy this model on-device. Lets go through each step below in detail:
Step 1: Compile model for on-device deployment
To compile a PyTorch model for on-device deployment, we first trace the model
in memory using the jit.trace
and then call the submit_compile_job
API.
import torch
import qai_hub as hub
from qai_hub_models.models.mediapipe_face import Model
# Load the model
torch_model = Model.from_pretrained()
# Device
device = hub.Device("Samsung Galaxy S24")
# Trace model
input_shape = torch_model.get_input_spec()
sample_inputs = torch_model.sample_inputs()
pt_model = torch.jit.trace(torch_model, [torch.tensor(data[0]) for _, data in sample_inputs.items()])
# Compile model on a specific device
compile_job = hub.submit_compile_job(
model=pt_model,
device=device,
input_specs=torch_model.get_input_spec(),
)
# Get target model to run on-device
target_model = compile_job.get_target_model()
Step 2: Performance profiling on cloud-hosted device
After compiling models from step 1. Models can be profiled model on-device using the
target_model
. Note that this scripts runs the model on a device automatically
provisioned in the cloud. Once the job is submitted, you can navigate to a
provided job URL to view a variety of on-device performance metrics.
profile_job = hub.submit_profile_job(
model=target_model,
device=device,
)
Step 3: Verify on-device accuracy
To verify the accuracy of the model on-device, you can run on-device inference on sample input data on the same cloud hosted device.
input_data = torch_model.sample_inputs()
inference_job = hub.submit_inference_job(
model=target_model,
device=device,
inputs=input_data,
)
on_device_output = inference_job.download_output_data()
With the output of the model, you can compute like PSNR, relative errors or spot check the output with expected output.
Note: This on-device profiling and inference requires access to Qualcomm® AI Hub. Sign up for access.
Deploying compiled model to Android
The models can be deployed using multiple runtimes:
TensorFlow Lite (
.tflite
export): This tutorial provides a guide to deploy the .tflite model in an Android application.QNN (
.so
export ): This sample app provides instructions on how to use the.so
shared library in an Android application.
View on Qualcomm® AI Hub
Get more details on MediaPipe-Face-Detection's performance across various devices here. Explore all available models on Qualcomm® AI Hub
License
- The license for the original implementation of MediaPipe-Face-Detection can be found here.
- The license for the compiled assets for on-device deployment can be found here
References
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.
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