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 | 1.216 ms | 1 - 91 MB | NPU |
| HRNetPose | ONNX | float | Snapdragon® 8 Elite Mobile | 1.5 ms | 0 - 93 MB | NPU |
| HRNetPose | ONNX | float | Snapdragon® X2 Elite | 1.328 ms | 55 - 55 MB | NPU |
| HRNetPose | ONNX | float | Snapdragon® X Elite | 2.62 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 | 1.865 ms | 0 - 148 MB | NPU |
| HRNetPose | ONNX | float | Qualcomm® QCS8550 (Proxy) | 2.423 ms | 0 - 58 MB | NPU |
| HRNetPose | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.5 ms | 0 - 93 MB | NPU |
| HRNetPose | ONNX | float | Qualcomm® QCS9075 | 3.932 ms | 0 - 4 MB | NPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.78 ms | 0 - 129 MB | NPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 0.969 ms | 0 - 132 MB | NPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® X2 Elite | 1.012 ms | 28 - 28 MB | NPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® X Elite | 1.973 ms | 28 - 28 MB | NPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® X Elite | 1.973 ms | 28 - 28 MB | NPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.285 ms | 0 - 200 MB | NPU |
| HRNetPose | ONNX | w8a16 | Qualcomm® QCS6490 | 485.217 ms | 30 - 34 MB | CPU |
| HRNetPose | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 1.731 ms | 0 - 37 MB | NPU |
| HRNetPose | ONNX | w8a16 | Qualcomm® QCM6690 | 220.032 ms | 31 - 50 MB | CPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 214.581 ms | 25 - 39 MB | CPU |
| HRNetPose | ONNX | w8a16 | Qualcomm® QCS9075 | 1.998 ms | 0 - 3 MB | NPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.969 ms | 0 - 132 MB | NPU |
| HRNetPose | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 214.581 ms | 25 - 39 MB | CPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.8 ms | 0 - 123 MB | NPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® 8 Elite Mobile | 0.912 ms | 0 - 124 MB | NPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® X2 Elite | 0.766 ms | 30 - 30 MB | NPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® X Elite | 1.634 ms | 28 - 28 MB | NPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® X Elite | 1.634 ms | 28 - 28 MB | NPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.047 ms | 0 - 185 MB | NPU |
| HRNetPose | ONNX | w8a8 | Qualcomm® QCS6490 | 89.943 ms | 8 - 69 MB | CPU |
| HRNetPose | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.49 ms | 0 - 5 MB | NPU |
| HRNetPose | ONNX | w8a8 | Qualcomm® QCS9075 | 1.539 ms | 0 - 3 MB | NPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 58.739 ms | 9 - 31 MB | CPU |
| HRNetPose | ONNX | w8a8 | Qualcomm® QCM6690 | 60.899 ms | 9 - 35 MB | CPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.912 ms | 0 - 124 MB | NPU |
| HRNetPose | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 58.739 ms | 9 - 31 MB | CPU |
| HRNetPose | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.267 ms | 0 - 77 MB | NPU |
| HRNetPose | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 1.567 ms | 0 - 73 MB | NPU |
| HRNetPose | QNN_DLC | float | Snapdragon® X2 Elite | 1.657 ms | 1 - 1 MB | NPU |
| HRNetPose | QNN_DLC | float | Snapdragon® X Elite | 2.922 ms | 1 - 1 MB | NPU |
| HRNetPose | QNN_DLC | float | Snapdragon® X Elite | 2.922 ms | 1 - 1 MB | NPU |
| HRNetPose | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.992 ms | 0 - 116 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 2.735 ms | 1 - 3 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® SA8775P | 4.312 ms | 1 - 74 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® SA8775P | 4.312 ms | 1 - 74 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® SA8775P | 4.312 ms | 1 - 74 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 5.013 ms | 0 - 103 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® SA7255P | 14.169 ms | 1 - 73 MB | NPU |
| HRNetPose | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.567 ms | 0 - 73 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® SA8295P | 4.59 ms | 1 - 61 MB | NPU |
| HRNetPose | QNN_DLC | float | Qualcomm® QCS9075 | 4.107 ms | 1 - 3 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.809 ms | 0 - 101 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 0.997 ms | 0 - 101 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 1.303 ms | 0 - 0 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® X Elite | 2.105 ms | 0 - 0 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® X Elite | 2.105 ms | 0 - 0 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.397 ms | 0 - 146 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 6.677 ms | 0 - 2 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 1.884 ms | 0 - 9 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA8775P | 2.255 ms | 0 - 102 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA8775P | 2.255 ms | 0 - 102 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA8775P | 2.255 ms | 0 - 102 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 21.183 ms | 0 - 217 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 2.745 ms | 0 - 150 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 2.55 ms | 0 - 101 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 2.185 ms | 0 - 2 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA7255P | 5.164 ms | 0 - 100 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.997 ms | 0 - 101 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA8295P | 3.069 ms | 0 - 99 MB | NPU |
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 2.55 ms | 0 - 101 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.567 ms | 0 - 94 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 0.638 ms | 0 - 95 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.711 ms | 0 - 0 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® X Elite | 1.267 ms | 0 - 0 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® X Elite | 1.267 ms | 0 - 0 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.819 ms | 0 - 133 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 3.719 ms | 0 - 2 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.13 ms | 0 - 2 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA8775P | 1.496 ms | 0 - 91 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA8775P | 1.496 ms | 0 - 91 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA8775P | 1.496 ms | 0 - 91 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 1.284 ms | 0 - 2 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 1.736 ms | 0 - 137 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.509 ms | 0 - 89 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 10.435 ms | 0 - 213 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.638 ms | 0 - 95 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA7255P | 2.839 ms | 0 - 90 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA8295P | 1.964 ms | 0 - 88 MB | NPU |
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.509 ms | 0 - 89 MB | NPU |
| HRNetPose | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.28 ms | 0 - 113 MB | NPU |
| HRNetPose | TFLITE | float | Snapdragon® 8 Elite Mobile | 1.55 ms | 0 - 115 MB | NPU |
| HRNetPose | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.986 ms | 0 - 185 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 2.781 ms | 0 - 2 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® SA8775P | 4.33 ms | 0 - 112 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® SA8775P | 4.33 ms | 0 - 112 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® SA8775P | 4.33 ms | 0 - 112 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 5.035 ms | 0 - 172 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® SA7255P | 14.142 ms | 0 - 111 MB | NPU |
| HRNetPose | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.55 ms | 0 - 115 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® SA8295P | 4.638 ms | 0 - 103 MB | NPU |
| HRNetPose | TFLITE | float | Qualcomm® QCS9075 | 4.133 ms | 0 - 58 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.502 ms | 0 - 91 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 0.596 ms | 0 - 88 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.715 ms | 0 - 138 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS6490 | 3.475 ms | 0 - 30 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.954 ms | 0 - 2 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA8775P | 1.364 ms | 0 - 89 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA8775P | 1.364 ms | 0 - 89 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA8775P | 1.364 ms | 0 - 89 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS9075 | 1.082 ms | 0 - 30 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 1.522 ms | 0 - 140 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.359 ms | 0 - 86 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCM6690 | 9.614 ms | 0 - 204 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.596 ms | 0 - 88 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA7255P | 2.579 ms | 0 - 86 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA8295P | 1.767 ms | 0 - 85 MB | NPU |
| HRNetPose | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.359 ms | 0 - 86 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.
