HRNetPose: Optimized for Qualcomm Devices
HRNet performs pose estimation in high-resolution representations.
This is based on the implementation of HRNetPose 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
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 | w8a16 | 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 | w8a16 | 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 HRNetPose 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 HRNetPose on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.pose_estimation
Model Stats:
- Model checkpoint: hrnet_posenet_FP32_state_dict
- Input resolution: 256x192
- Number of parameters: 28.5M
- Model size (float): 109 MB
- Model size (w8a8): 28.1 MB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| HRNetPose | ONNX | float | Snapdragon® X2 Elite | 2.382 ms | 55 - 55 MB | NPU |
| HRNetPose | ONNX | float | Snapdragon® X Elite | 2.62 ms | 55 - 55 MB | NPU |
| HRNetPose | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.86 ms | 0 - 145 MB | NPU |
| HRNetPose | ONNX | float | Qualcomm® QCS8550 (Proxy) | 2.432 ms | 0 - 58 MB | NPU |
| HRNetPose | ONNX | float | Qualcomm® QCS9075 | 3.904 ms | 0 - 4 MB | NPU |
| HRNetPose | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.503 ms | 0 - 93 MB | NPU |
| HRNetPose | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.217 ms | 1 - 91 MB | NPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® X2 Elite | 1.012 ms | 28 - 28 MB | NPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® X Elite | 1.985 ms | 28 - 28 MB | NPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.278 ms | 0 - 202 MB | NPU |
| HRNetPose | ONNX | w8a16 | Qualcomm® QCS6490 | 476.311 ms | 29 - 33 MB | CPU |
| HRNetPose | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 1.721 ms | 0 - 37 MB | NPU |
| HRNetPose | ONNX | w8a16 | Qualcomm® QCS9075 | 2.0 ms | 0 - 3 MB | NPU |
| HRNetPose | ONNX | w8a16 | Qualcomm® QCM6690 | 222.648 ms | 30 - 49 MB | CPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.976 ms | 0 - 131 MB | NPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 216.257 ms | 26 - 40 MB | CPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.787 ms | 0 - 128 MB | NPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® X2 Elite | 0.781 ms | 30 - 30 MB | NPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® X Elite | 1.647 ms | 28 - 28 MB | NPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.05 ms | 0 - 186 MB | NPU |
| HRNetPose | ONNX | w8a8 | Qualcomm® QCS6490 | 91.319 ms | 9 - 68 MB | CPU |
| HRNetPose | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.476 ms | 0 - 33 MB | NPU |
| HRNetPose | ONNX | w8a8 | Qualcomm® QCS9075 | 1.542 ms | 0 - 3 MB | NPU |
| HRNetPose | ONNX | w8a8 | Qualcomm® QCM6690 | 60.963 ms | 9 - 35 MB | CPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.927 ms | 0 - 124 MB | NPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 58.834 ms | 9 - 30 MB | CPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.808 ms | 0 - 122 MB | NPU |
| HRNetPose | QNN_DLC | float | Snapdragon® X2 Elite | 1.638 ms | 1 - 1 MB | NPU |
| HRNetPose | QNN_DLC | float | Snapdragon® X Elite | 2.964 ms | 1 - 1 MB | NPU |
| HRNetPose | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.971 ms | 0 - 119 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 14.16 ms | 1 - 75 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 2.735 ms | 1 - 2 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® SA8775P | 4.311 ms | 0 - 76 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® QCS9075 | 4.136 ms | 3 - 5 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 4.963 ms | 0 - 106 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® SA7255P | 14.16 ms | 1 - 75 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® SA8295P | 4.571 ms | 1 - 68 MB | NPU |
| HRNetPose | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.55 ms | 0 - 75 MB | NPU |
| HRNetPose | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.245 ms | 1 - 78 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 1.281 ms | 0 - 0 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® X Elite | 2.156 ms | 0 - 0 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.391 ms | 0 - 150 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 6.791 ms | 0 - 2 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 5.146 ms | 0 - 98 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 1.89 ms | 0 - 2 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA8775P | 2.283 ms | 0 - 101 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 2.202 ms | 0 - 2 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 20.146 ms | 0 - 217 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 2.614 ms | 0 - 150 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA7255P | 5.146 ms | 0 - 98 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA8295P | 3.142 ms | 0 - 97 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 1.028 ms | 0 - 99 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 2.538 ms | 0 - 103 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.797 ms | 0 - 100 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.7 ms | 0 - 0 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® X Elite | 1.288 ms | 0 - 0 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.841 ms | 0 - 133 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 3.782 ms | 2 - 4 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 2.836 ms | 0 - 88 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.157 ms | 0 - 4 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA8775P | 1.505 ms | 0 - 90 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 1.32 ms | 0 - 2 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 10.307 ms | 0 - 212 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 1.678 ms | 0 - 136 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA7255P | 2.836 ms | 0 - 88 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA8295P | 1.982 ms | 0 - 87 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.662 ms | 0 - 92 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.515 ms | 0 - 88 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.568 ms | 0 - 93 MB | NPU |
| HRNetPose | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.975 ms | 0 - 191 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 14.187 ms | 0 - 114 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 2.727 ms | 0 - 3 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® SA8775P | 18.722 ms | 0 - 116 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® QCS9075 | 4.156 ms | 0 - 58 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 4.945 ms | 0 - 177 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® SA7255P | 14.187 ms | 0 - 114 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® SA8295P | 4.603 ms | 0 - 105 MB | NPU |
| HRNetPose | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.558 ms | 0 - 116 MB | NPU |
| HRNetPose | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.278 ms | 0 - 118 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.73 ms | 0 - 143 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS6490 | 3.379 ms | 0 - 30 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 2.564 ms | 0 - 86 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.955 ms | 0 - 2 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA8775P | 1.374 ms | 0 - 89 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS9075 | 1.11 ms | 0 - 30 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCM6690 | 9.588 ms | 0 - 208 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 1.499 ms | 0 - 142 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA7255P | 2.564 ms | 0 - 86 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA8295P | 1.79 ms | 0 - 85 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.582 ms | 0 - 88 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.356 ms | 0 - 86 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.517 ms | 0 - 91 MB | NPU |
License
- The license for the original implementation of HRNetPose 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.
