YOLOv11-Pose: Optimized for Qualcomm Devices
Ultralytics YOLOv11-Pose is a machine learning model that predicts human body keypoints and bounding boxes in an image.
This is based on the implementation of YOLOv11-Pose found here. 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
Due to licensing restrictions, we cannot distribute pre-exported model assets for this model. 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
See our repository for YOLOv11-Pose on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.pose_estimation
Model Stats:
- Model checkpoint: YOLO11-N-Pose
- Input resolution: 640x640
- Number of parameters: 2.9M
- Model size (float): 11.1 MB
- Model size (w8a8_mixed_int16): 5.85 MB
- Model size (w8a16): 3.63 MB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| YOLOv11-Pose | ONNX | float | Snapdragon® X2 Elite | 3.319 ms | 208 - 208 MB | NPU |
| YOLOv11-Pose | ONNX | float | Snapdragon® X Elite | 7.586 ms | 176 - 176 MB | NPU |
| YOLOv11-Pose | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 6.137 ms | 10 - 236 MB | NPU |
| YOLOv11-Pose | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 12.699 ms | 9 - 214 MB | NPU |
| YOLOv11-Pose | ONNX | float | Qualcomm® QCS8550 (Proxy) | 7.982 ms | 6 - 10 MB | NPU |
| YOLOv11-Pose | ONNX | float | Qualcomm® QCS8450 | 12.699 ms | 9 - 214 MB | NPU |
| YOLOv11-Pose | ONNX | float | Snapdragon® 8 Elite Mobile | 4.729 ms | 5 - 209 MB | NPU |
| YOLOv11-Pose | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.03 ms | 3 - 223 MB | NPU |
| YOLOv11-Pose | ONNX | float | Qualcomm® QCS9075 | 8.3 ms | 4 - 53 MB | NPU |
| YOLOv11-Pose | ONNX | float | Qualcomm® QCS8750 | 4.729 ms | 5 - 209 MB | NPU |
| YOLOv11-Pose | ONNX | float | Qualcomm® QCS7181 | 7.586 ms | 176 - 176 MB | NPU |
| YOLOv11-Pose | ONNX | w8a16 | Snapdragon® X2 Elite | 2.772 ms | 210 - 210 MB | NPU |
| YOLOv11-Pose | ONNX | w8a16 | Snapdragon® X Elite | 6.168 ms | 147 - 147 MB | NPU |
| YOLOv11-Pose | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 3.671 ms | 2 - 216 MB | NPU |
| YOLOv11-Pose | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 9.558 ms | 4 - 219 MB | NPU |
| YOLOv11-Pose | ONNX | w8a16 | Qualcomm® QCS6490 | 13.791 ms | 2 - 48 MB | NPU |
| YOLOv11-Pose | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 5.929 ms | 3 - 7 MB | NPU |
| YOLOv11-Pose | ONNX | w8a16 | Qualcomm® QCS8450 | 9.558 ms | 4 - 219 MB | NPU |
| YOLOv11-Pose | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 2.446 ms | 0 - 88 MB | NPU |
| YOLOv11-Pose | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 2.77 ms | 0 - 90 MB | NPU |
| YOLOv11-Pose | ONNX | w8a16 | Qualcomm® QCS9075 | 6.718 ms | 2 - 48 MB | NPU |
| YOLOv11-Pose | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 7.529 ms | 4 - 199 MB | NPU |
| YOLOv11-Pose | ONNX | w8a16 | Qualcomm® QCM6690 | 27.844 ms | 4 - 201 MB | NPU |
| YOLOv11-Pose | ONNX | w8a16 | Qualcomm® QCS7790 | 7.529 ms | 4 - 199 MB | NPU |
| YOLOv11-Pose | ONNX | w8a16 | Qualcomm® QCS8750 | 2.77 ms | 0 - 90 MB | NPU |
| YOLOv11-Pose | ONNX | w8a16 | Qualcomm® QCS7181 | 6.168 ms | 147 - 147 MB | NPU |
| YOLOv11-Pose | ONNX | w8a8_mixed_int16 | Snapdragon® 8 Gen 3 Mobile | 8.556 ms | 17 - 258 MB | NPU |
| YOLOv11-Pose | ONNX | w8a8_mixed_int16 | Qualcomm® QCS8550 (Proxy) | 12.112 ms | 11 - 28 MB | NPU |
| YOLOv11-Pose | ONNX | w8a8_mixed_int16 | Snapdragon® 8 Elite Mobile | 6.83 ms | 2 - 223 MB | NPU |
| YOLOv11-Pose | ONNX | w8a8_mixed_int16 | Snapdragon® 8 Elite Gen 5 Mobile | 6.51 ms | 13 - 243 MB | NPU |
| YOLOv11-Pose | ONNX | w8a8_mixed_int16 | Qualcomm® QCS9075 | 17.556 ms | 13 - 60 MB | NPU |
| YOLOv11-Pose | ONNX | w8a8_mixed_int16 | Qualcomm® QCS8750 | 6.83 ms | 2 - 223 MB | NPU |
| YOLOv11-Pose | QNN_DLC | float | Snapdragon® X2 Elite | 3.081 ms | 5 - 5 MB | NPU |
| YOLOv11-Pose | QNN_DLC | float | Snapdragon® X Elite | 5.829 ms | 5 - 5 MB | NPU |
| YOLOv11-Pose | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 3.732 ms | 0 - 228 MB | NPU |
| YOLOv11-Pose | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 9.466 ms | 5 - 213 MB | NPU |
| YOLOv11-Pose | QNN_DLC | float | Qualcomm® QCS8275 | 15.44 ms | 2 - 205 MB | NPU |
| YOLOv11-Pose | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 5.271 ms | 5 - 6 MB | NPU |
| YOLOv11-Pose | QNN_DLC | float | Qualcomm® QCS8450 | 9.466 ms | 5 - 213 MB | NPU |
| YOLOv11-Pose | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 2.784 ms | 5 - 192 MB | NPU |
| YOLOv11-Pose | QNN_DLC | float | Qualcomm® SA7255P | 15.44 ms | 2 - 205 MB | NPU |
| YOLOv11-Pose | QNN_DLC | float | Qualcomm® SA8295P | 9.689 ms | 1 - 185 MB | NPU |
| YOLOv11-Pose | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.346 ms | 1 - 210 MB | NPU |
| YOLOv11-Pose | QNN_DLC | float | Qualcomm® QCS9075 | 6.328 ms | 5 - 13 MB | NPU |
| YOLOv11-Pose | QNN_DLC | float | Qualcomm® QCS8750 | 2.784 ms | 5 - 192 MB | NPU |
| YOLOv11-Pose | QNN_DLC | float | Qualcomm® QCS7181 | 5.829 ms | 5 - 5 MB | NPU |
| YOLOv11-Pose | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 2.385 ms | 2 - 2 MB | NPU |
| YOLOv11-Pose | QNN_DLC | w8a16 | Snapdragon® X Elite | 5.153 ms | 2 - 2 MB | NPU |
| YOLOv11-Pose | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 3.057 ms | 2 - 209 MB | NPU |
| YOLOv11-Pose | QNN_DLC | w8a16 | Qualcomm® QCS8275 | 8.806 ms | 2 - 183 MB | NPU |
| YOLOv11-Pose | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 4.673 ms | 2 - 4 MB | NPU |
| YOLOv11-Pose | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 1.972 ms | 2 - 198 MB | NPU |
| YOLOv11-Pose | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 2.238 ms | 2 - 187 MB | NPU |
| YOLOv11-Pose | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 5.312 ms | 2 - 7 MB | NPU |
| YOLOv11-Pose | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 5.072 ms | 2 - 186 MB | NPU |
| YOLOv11-Pose | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 21.539 ms | 2 - 188 MB | NPU |
| YOLOv11-Pose | QNN_DLC | w8a16 | Qualcomm® SA7255P | 8.806 ms | 2 - 183 MB | NPU |
| YOLOv11-Pose | QNN_DLC | w8a16 | Qualcomm® QCS7790 | 5.072 ms | 2 - 186 MB | NPU |
| YOLOv11-Pose | QNN_DLC | w8a16 | Qualcomm® QCS8750 | 2.238 ms | 2 - 187 MB | NPU |
| YOLOv11-Pose | QNN_DLC | w8a16 | Qualcomm® QCS7181 | 5.153 ms | 2 - 2 MB | NPU |
| YOLOv11-Pose | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 3.578 ms | 1 - 140 MB | NPU |
| YOLOv11-Pose | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 9.381 ms | 2 - 106 MB | NPU |
| YOLOv11-Pose | TFLITE | float | Qualcomm® QCS8275 | 15.33 ms | 2 - 114 MB | NPU |
| YOLOv11-Pose | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 5.068 ms | 2 - 4 MB | NPU |
| YOLOv11-Pose | TFLITE | float | Qualcomm® SA8775P | 23.907 ms | 0 - 31 MB | GPU |
| YOLOv11-Pose | TFLITE | float | Qualcomm® SA8650P | 23.907 ms | 0 - 31 MB | GPU |
| YOLOv11-Pose | TFLITE | float | Qualcomm® SA8255P | 23.907 ms | 0 - 31 MB | GPU |
| YOLOv11-Pose | TFLITE | float | Qualcomm® QCS8450 | 9.381 ms | 2 - 106 MB | NPU |
| YOLOv11-Pose | TFLITE | float | Snapdragon® 8 Elite Mobile | 2.615 ms | 0 - 102 MB | NPU |
| YOLOv11-Pose | TFLITE | float | Qualcomm® SA7255P | 15.33 ms | 2 - 114 MB | NPU |
| YOLOv11-Pose | TFLITE | float | Qualcomm® SA8295P | 9.43 ms | 2 - 73 MB | NPU |
| YOLOv11-Pose | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.112 ms | 0 - 117 MB | NPU |
| YOLOv11-Pose | TFLITE | float | Qualcomm® QCS9075 | 6.553 ms | 2 - 17 MB | NPU |
| YOLOv11-Pose | TFLITE | float | Qualcomm® QCS8750 | 2.615 ms | 0 - 102 MB | NPU |
License
- The license for the original implementation of YOLOv11-Pose 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.
