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 2.43 | Download |
| QNN_DLC | w8a16 | Universal | QAIRT 2.43 | Download |
| QNN_DLC | w8a8 | Universal | QAIRT 2.43 | Download |
| TFLITE | float | Universal | QAIRT 2.43, TFLite 2.19.1 | Download |
| TFLITE | w8a8 | Universal | QAIRT 2.43, TFLite 2.19.1 | 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 | 1.218 ms | 1 - 92 MB | NPU |
| HRNetPose | ONNX | float | Snapdragon® X2 Elite | 1.335 ms | 55 - 55 MB | NPU |
| HRNetPose | ONNX | float | Snapdragon® X Elite | 2.618 ms | 55 - 55 MB | NPU |
| HRNetPose | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.861 ms | 0 - 147 MB | NPU |
| HRNetPose | ONNX | float | Qualcomm® QCS8550 (Proxy) | 2.462 ms | 0 - 58 MB | NPU |
| HRNetPose | ONNX | float | Qualcomm® QCS9075 | 3.913 ms | 0 - 4 MB | NPU |
| HRNetPose | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.5 ms | 0 - 90 MB | NPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.789 ms | 0 - 128 MB | NPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® X2 Elite | 1.008 ms | 28 - 28 MB | NPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® X Elite | 2.009 ms | 28 - 28 MB | NPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.255 ms | 0 - 202 MB | NPU |
| HRNetPose | ONNX | w8a16 | Qualcomm® QCS6490 | 487.565 ms | 29 - 33 MB | CPU |
| HRNetPose | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 1.722 ms | 0 - 37 MB | NPU |
| HRNetPose | ONNX | w8a16 | Qualcomm® QCS9075 | 2.019 ms | 0 - 3 MB | NPU |
| HRNetPose | ONNX | w8a16 | Qualcomm® QCM6690 | 220.384 ms | 31 - 49 MB | CPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.971 ms | 0 - 122 MB | NPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 212.873 ms | 26 - 41 MB | CPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.804 ms | 0 - 123 MB | NPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® X2 Elite | 0.772 ms | 30 - 30 MB | NPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® X Elite | 1.634 ms | 28 - 28 MB | NPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.049 ms | 0 - 187 MB | NPU |
| HRNetPose | ONNX | w8a8 | Qualcomm® QCS6490 | 90.444 ms | 8 - 68 MB | CPU |
| HRNetPose | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.47 ms | 0 - 5 MB | NPU |
| HRNetPose | ONNX | w8a8 | Qualcomm® QCS9075 | 1.53 ms | 0 - 3 MB | NPU |
| HRNetPose | ONNX | w8a8 | Qualcomm® QCM6690 | 61.642 ms | 9 - 33 MB | CPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.909 ms | 0 - 118 MB | NPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 59.026 ms | 8 - 28 MB | CPU |
| HRNetPose | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.244 ms | 1 - 78 MB | NPU |
| HRNetPose | QNN_DLC | float | Snapdragon® X2 Elite | 1.659 ms | 1 - 1 MB | NPU |
| HRNetPose | QNN_DLC | float | Snapdragon® X Elite | 2.944 ms | 1 - 1 MB | NPU |
| HRNetPose | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.976 ms | 0 - 118 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 14.164 ms | 1 - 75 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 2.726 ms | 1 - 2 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® SA8775P | 4.307 ms | 1 - 76 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® QCS9075 | 4.134 ms | 3 - 5 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 4.953 ms | 0 - 107 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® SA7255P | 14.164 ms | 1 - 75 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® SA8295P | 4.592 ms | 1 - 68 MB | NPU |
| HRNetPose | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.55 ms | 0 - 73 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.805 ms | 0 - 100 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 1.277 ms | 0 - 0 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® X Elite | 2.151 ms | 0 - 0 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.4 ms | 0 - 152 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 6.756 ms | 0 - 2 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 5.171 ms | 0 - 98 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 1.91 ms | 0 - 2 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA8775P | 2.294 ms | 0 - 101 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 2.208 ms | 0 - 2 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 21.69 ms | 0 - 217 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 2.712 ms | 0 - 151 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA7255P | 5.171 ms | 0 - 98 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA8295P | 3.151 ms | 0 - 97 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 1.012 ms | 0 - 101 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 2.544 ms | 0 - 99 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.571 ms | 0 - 93 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.738 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 | 0.835 ms | 0 - 133 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 3.736 ms | 0 - 2 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 2.83 ms | 0 - 88 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.145 ms | 0 - 43 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA8775P | 1.519 ms | 0 - 91 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 1.326 ms | 0 - 2 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 10.249 ms | 0 - 212 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 1.771 ms | 0 - 136 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA7255P | 2.83 ms | 0 - 88 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA8295P | 2.004 ms | 0 - 87 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.645 ms | 0 - 92 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.519 ms | 0 - 88 MB | NPU |
| HRNetPose | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.286 ms | 0 - 118 MB | NPU |
| HRNetPose | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.976 ms | 0 - 186 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 14.212 ms | 0 - 114 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 2.772 ms | 0 - 3 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® SA8775P | 4.34 ms | 0 - 117 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® QCS9075 | 4.152 ms | 0 - 58 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 5.027 ms | 0 - 178 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® SA7255P | 14.212 ms | 0 - 114 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® SA8295P | 4.625 ms | 0 - 106 MB | NPU |
| HRNetPose | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.571 ms | 0 - 118 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.515 ms | 0 - 90 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.724 ms | 0 - 143 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS6490 | 3.339 ms | 0 - 30 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 2.597 ms | 0 - 86 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.951 ms | 0 - 20 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA8775P | 1.376 ms | 0 - 89 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS9075 | 1.113 ms | 0 - 30 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCM6690 | 9.595 ms | 0 - 207 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 1.551 ms | 0 - 142 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA7255P | 2.597 ms | 0 - 86 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA8295P | 1.812 ms | 0 - 85 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.581 ms | 0 - 90 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.354 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.
