---
title: HRNetPose
canonical_url: "https://www.modelscope.cn/models/Qualcomm-AI-Hub/HRNetPose"
md_url: "https://www.modelscope.cn/models/Qualcomm-AI-Hub/HRNetPose.md"
repository: Qualcomm-AI-Hub/HRNetPose
last_updated: 2026-10-16
license: mit
downloads: 0
stars: 0
tags:
  - bu_auto
  - android
---

# HRNetPose

> HRNetPose - Qualcomm-AI-Hub 在 ModelScope 开源的模型。HRNetPose: Optimized for Qualcomm Devices

Qualcomm-AI-Hub/HRNetPose 是 ModelScope 魔搭社区上的机器学习模型，采用 mit 许可。

- **Repository**: Qualcomm-AI-Hub/HRNetPose
- **License**: mit
- **Tags**: bu_auto, android
- **Downloads**: 0
- **Stars**: 0
- **Last updated**: 2026-10-16

Source: https://www.modelscope.cn/models/Qualcomm-AI-Hub/HRNetPose

---

![](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/hrnet_pose/web-assets/model_demo.png)

# HRNetPose: Optimized for Qualcomm Devices

HRNet performs pose estimation in high-resolution representations.

This is based on the implementation of HRNetPose found [here](https://github.com/leoxiaobin/deep-high-resolution-net.pytorch).
This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models-cn/blob/main/src/qai_hub_models/models/hrnet_pose) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).

Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.cn) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) 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 2.45, ONNX Runtime 1.27.1 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/hrnet_pose/releases/v0.62.1/hrnet_pose-onnx-float.zip)
| ONNX | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/hrnet_pose/releases/v0.62.1/hrnet_pose-onnx-w8a16.zip)
| ONNX | w8a8 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/hrnet_pose/releases/v0.62.1/hrnet_pose-onnx-w8a8.zip)
| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/hrnet_pose/releases/v0.62.1/hrnet_pose-qnn_dlc-float.zip)
| QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/hrnet_pose/releases/v0.62.1/hrnet_pose-qnn_dlc-w8a16.zip)
| QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/hrnet_pose/releases/v0.62.1/hrnet_pose-qnn_dlc-w8a8.zip)
| TFLITE | float | Universal | QAIRT 2.45 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/hrnet_pose/releases/v0.62.1/hrnet_pose-tflite-float.zip)
| TFLITE | w8a8 | Universal | QAIRT 2.45 | [Download](https://china-qaihub-public-assets.s3.cn-northwest-1.amazonaws.com.cn/qai-hub-models/models/hrnet_pose/releases/v0.62.1/hrnet_pose-tflite-w8a8.zip)

For more device-specific assets and performance metrics, visit **[HRNetPose on Qualcomm® AI Hub](https://aihub.qualcomm.cn/models/hrnet_pose)**.


### Option 2: Export with Custom Configurations

Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models-cn/blob/main/src/qai_hub_models/models/hrnet_pose) 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](https://github.com/qualcomm/ai-hub-models-cn/blob/main/src/qai_hub_models/models/hrnet_pose) for usage instructions.

## Model Details

**Model Type:** Model_use_case.pose_estimation

**Model Stats:**
- Input resolution: 256x192
- Model checkpoint: hrnet_posenet_FP32_state_dict
- Model size (float): 109 MB
- Model size (w8a8): 28.1 MB
- Number of parameters: 28.5M

## Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|---|---|---|---|---|---|---
| HRNetPose | ONNX | float | Snapdragon® X2 Elite | 1.318 ms | 2 - 2 MB | NPU
| HRNetPose | ONNX | float | Snapdragon® X Elite | 2.431 ms | 56 - 56 MB | NPU
| HRNetPose | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.855 ms | 0 - 143 MB | NPU
| HRNetPose | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 4.303 ms | 1 - 133 MB | NPU
| HRNetPose | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 4.308 ms | 0 - 5 MB | NPU
| HRNetPose | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.436 ms | 0 - 58 MB | NPU
| HRNetPose | ONNX | float | Qualcomm® QCS8450 | 4.303 ms | 1 - 133 MB | NPU
| HRNetPose | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 3.883 ms | 0 - 4 MB | NPU
| HRNetPose | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 2.431 ms | 56 - 56 MB | NPU
| HRNetPose | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 1.456 ms | 0 - 90 MB | NPU
| HRNetPose | ONNX | float | Snapdragon® 8 Elite Mobile | 1.456 ms | 0 - 90 MB | NPU
| HRNetPose | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.248 ms | 0 - 92 MB | NPU
| HRNetPose | ONNX | w8a16 | Snapdragon® X2 Elite | 1.01 ms | 1 - 1 MB | NPU
| HRNetPose | ONNX | w8a16 | Snapdragon® X Elite | 1.753 ms | 28 - 28 MB | NPU
| HRNetPose | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.23 ms | 0 - 198 MB | NPU
| HRNetPose | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 2.458 ms | 0 - 200 MB | NPU
| HRNetPose | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 8.065 ms | 0 - 3 MB | NPU
| HRNetPose | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 1.928 ms | 0 - 4 MB | NPU
| HRNetPose | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.723 ms | 0 - 34 MB | NPU
| HRNetPose | ONNX | w8a16 | Qualcomm® QCS8450 | 2.458 ms | 0 - 200 MB | NPU
| HRNetPose | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 1.915 ms | 0 - 3 MB | NPU
| HRNetPose | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.753 ms | 28 - 28 MB | NPU
| HRNetPose | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 23.103 ms | 0 - 250 MB | NPU
| HRNetPose | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 2.33 ms | 0 - 135 MB | NPU
| HRNetPose | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.973 ms | 0 - 133 MB | NPU
| HRNetPose | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 0.973 ms | 0 - 133 MB | NPU
| HRNetPose | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.814 ms | 0 - 135 MB | NPU
| HRNetPose | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 2.33 ms | 0 - 135 MB | NPU
| HRNetPose | ONNX | w8a8 | Snapdragon® X2 Elite | 0.562 ms | 1 - 1 MB | NPU
| HRNetPose | ONNX | w8a8 | Snapdragon® X Elite | 1.112 ms | 28 - 28 MB | NPU
| HRNetPose | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.857 ms | 0 - 186 MB | NPU
| HRNetPose | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.73 ms | 0 - 186 MB | NPU
| HRNetPose | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 4.903 ms | 0 - 3 MB | NPU
| HRNetPose | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 1.356 ms | 0 - 4 MB | NPU
| HRNetPose | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.144 ms | 0 - 42 MB | NPU
| HRNetPose | ONNX | w8a8 | Qualcomm® QCS8450 | 1.73 ms | 0 - 186 MB | NPU
| HRNetPose | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 1.381 ms | 0 - 3 MB | NPU
| HRNetPose | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 1.112 ms | 28 - 28 MB | NPU
| HRNetPose | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 10.449 ms | 0 - 238 MB | NPU
| HRNetPose | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 1.506 ms | 0 - 125 MB | NPU
| HRNetPose | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.722 ms | 0 - 126 MB | NPU
| HRNetPose | ONNX | w8a8 | Snapdragon® 8 Elite Mobile | 0.722 ms | 0 - 126 MB | NPU
| HRNetPose | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.65 ms | 0 - 125 MB | NPU
| HRNetPose | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.506 ms | 0 - 125 MB | NPU
| HRNetPose | QNN_DLC | float | Snapdragon® X2 Elite | 1.634 ms | 1 - 1 MB | NPU
| HRNetPose | QNN_DLC | float | Snapdragon® X Elite | 2.929 ms | 1 - 1 MB | NPU
| HRNetPose | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 2.014 ms | 0 - 114 MB | NPU
| HRNetPose | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 5.032 ms | 0 - 103 MB | NPU
| HRNetPose | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 4.388 ms | 1 - 4 MB | NPU
| HRNetPose | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.73 ms | 1 - 2 MB | NPU
| HRNetPose | QNN_DLC | float | Qualcomm® SA8775P | 4.289 ms | 0 - 75 MB | NPU
| HRNetPose | QNN_DLC | float | Qualcomm® SA8650P | 4.289 ms | 0 - 75 MB | NPU
| HRNetPose | QNN_DLC | float | Qualcomm® SA8255P | 4.289 ms | 0 - 75 MB | NPU
| HRNetPose | QNN_DLC | float | Qualcomm® QCS8450 | 5.032 ms | 0 - 103 MB | NPU
| HRNetPose | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 4.063 ms | 1 - 3 MB | NPU
| HRNetPose | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 2.929 ms | 1 - 1 MB | NPU
| HRNetPose | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 1.566 ms | 0 - 73 MB | NPU
| HRNetPose | QNN_DLC | float | Qualcomm® SA8295P | 4.6 ms | 1 - 67 MB | NPU
| HRNetPose | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 1.566 ms | 0 - 73 MB | NPU
| HRNetPose | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.297 ms | 0 - 77 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 1.376 ms | 0 - 0 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® X Elite | 2.093 ms | 0 - 0 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.386 ms | 0 - 147 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 2.694 ms | 0 - 148 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 8.193 ms | 0 - 2 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 2.071 ms | 0 - 3 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.871 ms | 0 - 135 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA8775P | 2.239 ms | 0 - 103 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA8650P | 2.239 ms | 0 - 103 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA8255P | 2.239 ms | 0 - 103 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 2.694 ms | 0 - 148 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 2.077 ms | 0 - 2 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 2.093 ms | 0 - 0 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 22.459 ms | 0 - 217 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 2.553 ms | 0 - 100 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.999 ms | 0 - 101 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA7255P | 5.138 ms | 0 - 100 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA8295P | 3.076 ms | 0 - 98 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 0.999 ms | 0 - 101 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.835 ms | 0 - 100 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 2.553 ms | 0 - 100 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.687 ms | 0 - 0 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® X Elite | 1.243 ms | 0 - 0 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.828 ms | 0 - 136 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.736 ms | 0 - 137 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 5.581 ms | 2 - 4 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 1.274 ms | 0 - 3 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.125 ms | 0 - 6 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA8775P | 1.494 ms | 0 - 92 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA8650P | 1.494 ms | 0 - 92 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA8255P | 1.494 ms | 0 - 92 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 1.736 ms | 0 - 137 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 1.326 ms | 2 - 4 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 1.243 ms | 0 - 0 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 10.434 ms | 0 - 213 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 1.51 ms | 0 - 89 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.64 ms | 0 - 94 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA7255P | 2.829 ms | 0 - 90 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA8295P | 1.953 ms | 0 - 88 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 0.64 ms | 0 - 94 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.572 ms | 0 - 93 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.51 ms | 0 - 89 MB | NPU
| HRNetPose | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2.0 ms | 0 - 184 MB | NPU
| HRNetPose | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 5.024 ms | 0 - 173 MB | NPU
| HRNetPose | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 4.365 ms | 0 - 59 MB | NPU
| HRNetPose | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.735 ms | 0 - 3 MB | NPU
| HRNetPose | TFLITE | float | Qualcomm® SA8775P | 4.352 ms | 0 - 114 MB | NPU
| HRNetPose | TFLITE | float | Qualcomm® SA8650P | 4.352 ms | 0 - 114 MB | NPU
| HRNetPose | TFLITE | float | Qualcomm® SA8255P | 4.352 ms | 0 - 114 MB | NPU
| HRNetPose | TFLITE | float | Qualcomm® QCS8450 | 5.024 ms | 0 - 173 MB | NPU
| HRNetPose | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 4.11 ms | 0 - 58 MB | NPU
| HRNetPose | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 1.553 ms | 0 - 113 MB | NPU
| HRNetPose | TFLITE | float | Qualcomm® SA7255P | 14.136 ms | 0 - 112 MB | NPU
| HRNetPose | TFLITE | float | Qualcomm® SA8295P | 4.64 ms | 0 - 103 MB | NPU
| HRNetPose | TFLITE | float | Snapdragon® 8 Elite Mobile | 1.553 ms | 0 - 113 MB | NPU
| HRNetPose | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.302 ms | 0 - 115 MB | NPU
| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.709 ms | 0 - 139 MB | NPU
| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.516 ms | 0 - 142 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 4.894 ms | 0 - 30 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 1.137 ms | 0 - 31 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.938 ms | 0 - 2 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA8775P | 1.357 ms | 0 - 90 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA8650P | 1.357 ms | 0 - 90 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA8255P | 1.357 ms | 0 - 90 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS8450 | 1.516 ms | 0 - 142 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 1.172 ms | 0 - 30 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 9.619 ms | 0 - 207 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 1.357 ms | 0 - 85 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.59 ms | 0 - 88 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA7255P | 2.592 ms | 0 - 87 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA8295P | 1.772 ms | 0 - 85 MB | NPU
| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 0.59 ms | 0 - 88 MB | NPU
| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.516 ms | 0 - 90 MB | NPU
| HRNetPose | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.357 ms | 0 - 85 MB | NPU

## License
* The license for the original implementation of HRNetPose can be found
  [here](https://github.com/leoxiaobin/deep-high-resolution-net.pytorch/blob/master/LICENSE).

## References
* [Deep High-Resolution Representation Learning for Human Pose Estimation](https://arxiv.org/abs/1902.09212)
* [Source Model Implementation](https://github.com/leoxiaobin/deep-high-resolution-net.pytorch)

## Community
* For questions or feedback, chat with our engineers in [Qualcomm® AI Hub Workbench](https://workbench.aihub.qualcomm.cn).