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 1.24.3 | Download |
| ONNX | w8a16 | Universal | QAIRT 2.42, ONNX Runtime 1.24.3 | Download |
| ONNX | w8a8 | Universal | QAIRT 2.42, ONNX Runtime 1.24.3 | Download |
| QNN_DLC | float | Universal | QAIRT 2.45 | Download |
| QNN_DLC | w8a16 | Universal | QAIRT 2.45 | Download |
| QNN_DLC | w8a8 | Universal | QAIRT 2.45 | Download |
| TFLITE | float | Universal | QAIRT 2.45 | Download |
| TFLITE | w8a8 | Universal | QAIRT 2.45 | 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® 8 Elite Gen 5 Mobile | 1.217 ms | 1 - 91 MB | NPU |
| HRNetPose | ONNX | float | Snapdragon® X2 Elite | 1.328 ms | 55 - 55 MB | NPU |
| HRNetPose | ONNX | float | Snapdragon® X Elite | 2.625 ms | 55 - 55 MB | NPU |
| HRNetPose | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.848 ms | 0 - 148 MB | NPU |
| HRNetPose | ONNX | float | Qualcomm® QCS8550 (Proxy) | 2.466 ms | 0 - 58 MB | NPU |
| HRNetPose | ONNX | float | Qualcomm® QCS9075 | 3.912 ms | 0 - 4 MB | NPU |
| HRNetPose | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.503 ms | 0 - 93 MB | NPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.788 ms | 0 - 129 MB | NPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® X2 Elite | 1.013 ms | 28 - 28 MB | NPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® X Elite | 1.987 ms | 28 - 28 MB | NPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.255 ms | 0 - 199 MB | NPU |
| HRNetPose | ONNX | w8a16 | Qualcomm® QCS6490 | 480.354 ms | 30 - 34 MB | CPU |
| HRNetPose | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 1.761 ms | 0 - 38 MB | NPU |
| HRNetPose | ONNX | w8a16 | Qualcomm® QCS9075 | 1.989 ms | 0 - 3 MB | NPU |
| HRNetPose | ONNX | w8a16 | Qualcomm® QCM6690 | 223.1 ms | 30 - 48 MB | CPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.972 ms | 0 - 124 MB | NPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 214.16 ms | 26 - 41 MB | CPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.806 ms | 0 - 122 MB | NPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® X2 Elite | 0.77 ms | 30 - 30 MB | NPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® X Elite | 1.632 ms | 28 - 28 MB | NPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.046 ms | 0 - 186 MB | NPU |
| HRNetPose | ONNX | w8a8 | Qualcomm® QCS6490 | 89.757 ms | 8 - 68 MB | CPU |
| HRNetPose | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.513 ms | 0 - 33 MB | NPU |
| HRNetPose | ONNX | w8a8 | Qualcomm® QCS9075 | 1.542 ms | 0 - 3 MB | NPU |
| HRNetPose | ONNX | w8a8 | Qualcomm® QCM6690 | 60.819 ms | 9 - 30 MB | CPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.912 ms | 0 - 114 MB | NPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 58.162 ms | 10 - 30 MB | CPU |
| HRNetPose | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.273 ms | 1 - 78 MB | NPU |
| HRNetPose | QNN_DLC | float | Snapdragon® X2 Elite | 1.6 ms | 1 - 1 MB | NPU |
| HRNetPose | QNN_DLC | float | Snapdragon® X Elite | 2.954 ms | 1 - 1 MB | NPU |
| HRNetPose | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.997 ms | 0 - 115 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 14.164 ms | 1 - 73 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 2.733 ms | 1 - 3 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® SA8775P | 4.274 ms | 1 - 74 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® QCS9075 | 4.103 ms | 1 - 3 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 5.013 ms | 0 - 102 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® SA7255P | 14.164 ms | 1 - 73 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® SA8295P | 4.601 ms | 1 - 61 MB | NPU |
| HRNetPose | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.564 ms | 0 - 73 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.809 ms | 0 - 102 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 1.288 ms | 0 - 0 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® X Elite | 2.112 ms | 0 - 0 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.388 ms | 0 - 146 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 6.543 ms | 0 - 2 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 5.154 ms | 0 - 100 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 1.891 ms | 0 - 37 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA8775P | 2.259 ms | 0 - 101 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 2.184 ms | 0 - 2 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 21.662 ms | 0 - 217 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 2.737 ms | 0 - 149 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA7255P | 5.154 ms | 0 - 100 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA8295P | 3.067 ms | 0 - 99 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.994 ms | 0 - 101 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 2.539 ms | 0 - 100 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.57 ms | 0 - 94 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.691 ms | 0 - 0 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® X Elite | 1.264 ms | 0 - 0 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.818 ms | 0 - 134 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 3.825 ms | 0 - 2 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 2.854 ms | 0 - 89 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.144 ms | 0 - 128 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA8775P | 1.486 ms | 0 - 91 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 1.272 ms | 0 - 2 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 10.445 ms | 0 - 213 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 1.743 ms | 0 - 136 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA7255P | 2.854 ms | 0 - 89 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA8295P | 1.971 ms | 0 - 88 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.639 ms | 0 - 94 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.51 ms | 0 - 90 MB | NPU |
| HRNetPose | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.277 ms | 0 - 113 MB | NPU |
| HRNetPose | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.988 ms | 0 - 184 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 14.166 ms | 0 - 111 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 2.766 ms | 0 - 2 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® SA8775P | 4.338 ms | 0 - 111 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® QCS9075 | 4.147 ms | 0 - 58 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 5.029 ms | 0 - 174 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® SA7255P | 14.166 ms | 0 - 111 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® SA8295P | 4.624 ms | 0 - 103 MB | NPU |
| HRNetPose | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.548 ms | 0 - 112 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.513 ms | 0 - 91 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.712 ms | 0 - 140 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS6490 | 3.444 ms | 0 - 30 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 2.547 ms | 0 - 87 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.952 ms | 0 - 3 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA8775P | 1.355 ms | 0 - 89 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS9075 | 1.081 ms | 0 - 30 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCM6690 | 9.629 ms | 0 - 207 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 1.523 ms | 0 - 142 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA7255P | 2.547 ms | 0 - 87 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA8295P | 1.792 ms | 0 - 85 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.586 ms | 0 - 88 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.355 ms | 0 - 85 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.
