MediaPipe-Pose-Estimation: Optimized for Mobile Deployment
Detect and track human face, hand, and torso in real-time images and video streams
The MediaPipe Pose Landmark Detector is a machine learning pipeline that predicts bounding boxes and pose skeletons of the face, hands, and torso in an image.
This model is an implementation of MediaPipe-Pose-Estimation found here.
This repository provides scripts to run MediaPipe-Pose-Estimation on Qualcomm® devices. More details on model performance across various devices, can be found here.
Model Details
- Model Type: Model_use_case.pose_estimation
- Model Stats:
- Input resolution: 256x256
- Number of parameters (PoseDetector): 815K
- Model size (PoseDetector) (float): 3.14 MB
- Number of parameters (PoseLandmarkDetector): 3.36M
- Model size (PoseLandmarkDetector) (float): 12.9 MB
| Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model |
|---|---|---|---|---|---|---|---|---|
| PoseDetector | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 5.816 ms | 0 - 22 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_DLC | 5.726 ms | 0 - 21 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 2.169 ms | 0 - 36 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_DLC | 2.179 ms | 0 - 36 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 0.901 ms | 0 - 29 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_DLC | 0.854 ms | 0 - 18 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | ONNX | 1.092 ms | 0 - 18 MB | NPU | MediaPipe-Pose-Estimation.onnx.zip |
| PoseDetector | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 1.671 ms | 0 - 22 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_DLC | 1.62 ms | 0 - 21 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 5.816 ms | 0 - 22 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | float | SA7255P ADP | Qualcomm® SA7255P | QNN_DLC | 5.726 ms | 0 - 21 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 0.902 ms | 0 - 29 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN_DLC | 0.851 ms | 0 - 19 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 2.641 ms | 0 - 26 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | float | SA8295P ADP | Qualcomm® SA8295P | QNN_DLC | 2.537 ms | 0 - 25 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 0.907 ms | 0 - 29 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN_DLC | 0.855 ms | 0 - 18 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 1.671 ms | 0 - 22 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | float | SA8775P ADP | Qualcomm® SA8775P | QNN_DLC | 1.62 ms | 0 - 21 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 0.647 ms | 0 - 41 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 0.623 ms | 0 - 40 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 0.782 ms | 0 - 37 MB | NPU | MediaPipe-Pose-Estimation.onnx.zip |
| PoseDetector | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | TFLITE | 0.53 ms | 0 - 26 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | QNN_DLC | 0.512 ms | 0 - 32 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | ONNX | 0.651 ms | 0 - 24 MB | NPU | MediaPipe-Pose-Estimation.onnx.zip |
| PoseDetector | float | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | TFLITE | 0.404 ms | 0 - 24 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | float | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | QNN_DLC | 0.394 ms | 0 - 25 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | float | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | ONNX | 0.565 ms | 0 - 25 MB | NPU | MediaPipe-Pose-Estimation.onnx.zip |
| PoseDetector | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 1.025 ms | 7 - 7 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 1.042 ms | 2 - 2 MB | NPU | MediaPipe-Pose-Estimation.onnx.zip |
| PoseLandmarkDetector | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 3.204 ms | 0 - 35 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_DLC | 3.163 ms | 0 - 27 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 1.014 ms | 0 - 51 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_DLC | 1.131 ms | 1 - 42 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 0.817 ms | 0 - 81 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_DLC | 0.802 ms | 0 - 45 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | ONNX | 1.197 ms | 0 - 26 MB | NPU | MediaPipe-Pose-Estimation.onnx.zip |
| PoseLandmarkDetector | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 1.453 ms | 0 - 34 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_DLC | 1.421 ms | 1 - 27 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 3.204 ms | 0 - 35 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | float | SA7255P ADP | Qualcomm® SA7255P | QNN_DLC | 3.163 ms | 0 - 27 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 0.801 ms | 0 - 79 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN_DLC | 0.81 ms | 0 - 46 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 1.435 ms | 0 - 36 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | float | SA8295P ADP | Qualcomm® SA8295P | QNN_DLC | 1.404 ms | 1 - 29 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 0.796 ms | 0 - 80 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN_DLC | 0.793 ms | 0 - 46 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 1.453 ms | 0 - 34 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | float | SA8775P ADP | Qualcomm® SA8775P | QNN_DLC | 1.421 ms | 1 - 27 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 0.608 ms | 0 - 58 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 0.601 ms | 1 - 50 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 0.794 ms | 0 - 53 MB | NPU | MediaPipe-Pose-Estimation.onnx.zip |
| PoseLandmarkDetector | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | TFLITE | 0.47 ms | 0 - 44 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | QNN_DLC | 0.496 ms | 1 - 37 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | ONNX | 0.702 ms | 0 - 33 MB | NPU | MediaPipe-Pose-Estimation.onnx.zip |
| PoseLandmarkDetector | float | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | TFLITE | 0.402 ms | 0 - 33 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | float | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | QNN_DLC | 0.425 ms | 1 - 35 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | float | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | ONNX | 0.663 ms | 1 - 35 MB | NPU | MediaPipe-Pose-Estimation.onnx.zip |
| PoseLandmarkDetector | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 1.06 ms | 32 - 32 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 1.162 ms | 7 - 7 MB | NPU | MediaPipe-Pose-Estimation.onnx.zip |
| PoseDetector | w8a8 | Dragonwing RB3 Gen 2 Vision Kit | Qualcomm® QCS6490 | TFLITE | 1.422 ms | 0 - 5 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | w8a8 | Dragonwing RB3 Gen 2 Vision Kit | Qualcomm® QCS6490 | QNN_DLC | 1.336 ms | 0 - 99 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | w8a8 | Dragonwing RB3 Gen 2 Vision Kit | Qualcomm® QCS6490 | ONNX | 13.826 ms | 9 - 14 MB | CPU | MediaPipe-Pose-Estimation.onnx.zip |
| PoseDetector | w8a8 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 1.067 ms | 0 - 21 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | w8a8 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_DLC | 1.052 ms | 0 - 22 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | w8a8 | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 0.529 ms | 0 - 29 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | w8a8 | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_DLC | 0.566 ms | 0 - 37 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | w8a8 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 0.337 ms | 0 - 11 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | w8a8 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_DLC | 0.314 ms | 0 - 22 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | w8a8 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | ONNX | 0.515 ms | 0 - 23 MB | NPU | MediaPipe-Pose-Estimation.onnx.zip |
| PoseDetector | w8a8 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 0.554 ms | 0 - 21 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | w8a8 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_DLC | 0.501 ms | 0 - 22 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | w8a8 | RB5 (Proxy) | Qualcomm® QCS8250 (Proxy) | TFLITE | 6.559 ms | 0 - 3 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | w8a8 | RB5 (Proxy) | Qualcomm® QCS8250 (Proxy) | ONNX | 8.422 ms | 8 - 12 MB | CPU | MediaPipe-Pose-Estimation.onnx.zip |
| PoseDetector | w8a8 | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 1.067 ms | 0 - 21 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | w8a8 | SA7255P ADP | Qualcomm® SA7255P | QNN_DLC | 1.052 ms | 0 - 22 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | w8a8 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 0.333 ms | 0 - 11 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | w8a8 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN_DLC | 0.315 ms | 0 - 22 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | w8a8 | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 0.955 ms | 0 - 27 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | w8a8 | SA8295P ADP | Qualcomm® SA8295P | QNN_DLC | 0.924 ms | 0 - 27 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | w8a8 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 0.331 ms | 0 - 11 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | w8a8 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN_DLC | 0.322 ms | 0 - 7 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | w8a8 | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 0.554 ms | 0 - 21 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | w8a8 | SA8775P ADP | Qualcomm® SA8775P | QNN_DLC | 0.501 ms | 0 - 22 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 0.24 ms | 0 - 31 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 0.232 ms | 0 - 31 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 0.351 ms | 0 - 34 MB | NPU | MediaPipe-Pose-Estimation.onnx.zip |
| PoseDetector | w8a8 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | TFLITE | 0.197 ms | 0 - 24 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | w8a8 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | QNN_DLC | 0.186 ms | 0 - 34 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | w8a8 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | ONNX | 0.301 ms | 0 - 26 MB | NPU | MediaPipe-Pose-Estimation.onnx.zip |
| PoseDetector | w8a8 | Snapdragon 7 Gen 4 QRD | Snapdragon® 7 Gen 4 Mobile | TFLITE | 0.425 ms | 0 - 28 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | w8a8 | Snapdragon 7 Gen 4 QRD | Snapdragon® 7 Gen 4 Mobile | QNN_DLC | 0.391 ms | 0 - 24 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | w8a8 | Snapdragon 7 Gen 4 QRD | Snapdragon® 7 Gen 4 Mobile | ONNX | 9.435 ms | 10 - 26 MB | CPU | MediaPipe-Pose-Estimation.onnx.zip |
| PoseDetector | w8a8 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | TFLITE | 0.169 ms | 0 - 23 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseDetector | w8a8 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | QNN_DLC | 0.158 ms | 0 - 25 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | w8a8 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | ONNX | 0.286 ms | 0 - 25 MB | NPU | MediaPipe-Pose-Estimation.onnx.zip |
| PoseDetector | w8a8 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 0.432 ms | 14 - 14 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseDetector | w8a8 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 0.454 ms | 0 - 0 MB | NPU | MediaPipe-Pose-Estimation.onnx.zip |
| PoseLandmarkDetector | w8a8 | Dragonwing RB3 Gen 2 Vision Kit | Qualcomm® QCS6490 | TFLITE | 1.031 ms | 0 - 9 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | w8a8 | Dragonwing RB3 Gen 2 Vision Kit | Qualcomm® QCS6490 | QNN_DLC | 0.849 ms | 0 - 102 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | w8a8 | Dragonwing RB3 Gen 2 Vision Kit | Qualcomm® QCS6490 | ONNX | 18.104 ms | 9 - 16 MB | CPU | MediaPipe-Pose-Estimation.onnx.zip |
| PoseLandmarkDetector | w8a8 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 0.891 ms | 0 - 28 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | w8a8 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_DLC | 0.791 ms | 0 - 30 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | w8a8 | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 0.415 ms | 0 - 38 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | w8a8 | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_DLC | 0.467 ms | 0 - 36 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | w8a8 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 0.337 ms | 0 - 33 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | w8a8 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_DLC | 0.312 ms | 0 - 31 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | w8a8 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | ONNX | 0.646 ms | 0 - 32 MB | NPU | MediaPipe-Pose-Estimation.onnx.zip |
| PoseLandmarkDetector | w8a8 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 0.581 ms | 0 - 28 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | w8a8 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_DLC | 0.534 ms | 0 - 30 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | w8a8 | RB5 (Proxy) | Qualcomm® QCS8250 (Proxy) | TFLITE | 7.167 ms | 0 - 2 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | w8a8 | RB5 (Proxy) | Qualcomm® QCS8250 (Proxy) | ONNX | 7.784 ms | 6 - 13 MB | CPU | MediaPipe-Pose-Estimation.onnx.zip |
| PoseLandmarkDetector | w8a8 | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 0.891 ms | 0 - 28 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | w8a8 | SA7255P ADP | Qualcomm® SA7255P | QNN_DLC | 0.791 ms | 0 - 30 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | w8a8 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 0.343 ms | 0 - 32 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | w8a8 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN_DLC | 0.308 ms | 0 - 31 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | w8a8 | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 0.755 ms | 0 - 34 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | w8a8 | SA8295P ADP | Qualcomm® SA8295P | QNN_DLC | 0.691 ms | 0 - 36 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | w8a8 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 0.34 ms | 0 - 33 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | w8a8 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN_DLC | 0.307 ms | 0 - 31 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | w8a8 | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 0.581 ms | 0 - 28 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | w8a8 | SA8775P ADP | Qualcomm® SA8775P | QNN_DLC | 0.534 ms | 0 - 30 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 0.232 ms | 0 - 38 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 0.214 ms | 0 - 41 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 0.366 ms | 0 - 40 MB | NPU | MediaPipe-Pose-Estimation.onnx.zip |
| PoseLandmarkDetector | w8a8 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | TFLITE | 0.199 ms | 0 - 33 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | w8a8 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | QNN_DLC | 0.192 ms | 0 - 42 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | w8a8 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | ONNX | 0.338 ms | 0 - 33 MB | NPU | MediaPipe-Pose-Estimation.onnx.zip |
| PoseLandmarkDetector | w8a8 | Snapdragon 7 Gen 4 QRD | Snapdragon® 7 Gen 4 Mobile | TFLITE | 0.35 ms | 0 - 33 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | w8a8 | Snapdragon 7 Gen 4 QRD | Snapdragon® 7 Gen 4 Mobile | QNN_DLC | 0.315 ms | 0 - 35 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | w8a8 | Snapdragon 7 Gen 4 QRD | Snapdragon® 7 Gen 4 Mobile | ONNX | 8.514 ms | 9 - 28 MB | CPU | MediaPipe-Pose-Estimation.onnx.zip |
| PoseLandmarkDetector | w8a8 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | TFLITE | 0.187 ms | 0 - 31 MB | NPU | MediaPipe-Pose-Estimation.tflite |
| PoseLandmarkDetector | w8a8 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | QNN_DLC | 0.167 ms | 0 - 32 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | w8a8 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | ONNX | 0.324 ms | 0 - 34 MB | NPU | MediaPipe-Pose-Estimation.onnx.zip |
| PoseLandmarkDetector | w8a8 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 0.425 ms | 27 - 27 MB | NPU | MediaPipe-Pose-Estimation.dlc |
| PoseLandmarkDetector | w8a8 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 0.474 ms | 4 - 4 MB | NPU | MediaPipe-Pose-Estimation.onnx.zip |
Installation
Install the package via pip:
pip install qai-hub-models
Configure Qualcomm® AI Hub Workbench to run this model on a cloud-hosted device
Sign-in to Qualcomm® AI Hub Workbench 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_pose.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_pose.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_pose.export
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_pose import Model
# Load the model
torch_model = Model.from_pretrained()
# Device
device = hub.Device("Samsung Galaxy S25")
# 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 Workbench. Sign up for access.
Deploying compiled model to Android
The models can be deployed using multiple runtimes:
TensorFlow Lite (
.tfliteexport): This tutorial provides a guide to deploy the .tflite model in an Android application.QNN (
.soexport ): This sample app provides instructions on how to use the.soshared library in an Android application.
View on Qualcomm® AI Hub
Get more details on MediaPipe-Pose-Estimation's performance across various devices here. Explore all available models on Qualcomm® AI Hub
License
- The license for the original implementation of MediaPipe-Pose-Estimation 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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