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HRNetPose

Keypoint Detection
PyTorch
bu_auto
android
Model card Files
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HRNetPose
File size: 17,020 Bytes
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---
library_name: pytorch
license: other
tags:
- bu_auto
- android
pipeline_tag: keypoint-detection

---

![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/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/blob/v0.60.0/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.com) 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://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/hrnet_pose/releases/v0.60.0/hrnet_pose-onnx-float.zip)
| ONNX | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/hrnet_pose/releases/v0.60.0/hrnet_pose-onnx-w8a16.zip)
| ONNX | w8a8 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/hrnet_pose/releases/v0.60.0/hrnet_pose-onnx-w8a8.zip)
| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/hrnet_pose/releases/v0.60.0/hrnet_pose-qnn_dlc-float.zip)
| QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/hrnet_pose/releases/v0.60.0/hrnet_pose-qnn_dlc-w8a16.zip)
| QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/hrnet_pose/releases/v0.60.0/hrnet_pose-qnn_dlc-w8a8.zip)
| TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/hrnet_pose/releases/v0.60.0/hrnet_pose-tflite-float.zip)
| TFLITE | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/hrnet_pose/releases/v0.60.0/hrnet_pose-tflite-w8a8.zip)

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


### Option 2: Export with Custom Configurations

Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.60.0/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/blob/v0.60.0/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 | 1.329 ms | 2 - 2 MB | NPU
| HRNetPose | ONNX | float | Snapdragon® X Elite | 2.412 ms | 55 - 55 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 | 4.326 ms | 0 - 131 MB | NPU
| HRNetPose | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 4.31 ms | 0 - 5 MB | NPU
| HRNetPose | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.438 ms | 0 - 73 MB | NPU
| HRNetPose | ONNX | float | Qualcomm® QCS8450 | 4.326 ms | 0 - 131 MB | NPU
| HRNetPose | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 3.886 ms | 0 - 4 MB | NPU
| HRNetPose | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 2.412 ms | 55 - 55 MB | NPU
| HRNetPose | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 1.451 ms | 0 - 89 MB | NPU
| HRNetPose | ONNX | float | Snapdragon® 8 Elite Mobile | 1.451 ms | 0 - 89 MB | NPU
| HRNetPose | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.243 ms | 0 - 91 MB | NPU
| HRNetPose | ONNX | w8a16 | Snapdragon® X2 Elite | 1.004 ms | 1 - 1 MB | NPU
| HRNetPose | ONNX | w8a16 | Snapdragon® X Elite | 1.749 ms | 29 - 29 MB | NPU
| HRNetPose | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.228 ms | 0 - 198 MB | NPU
| HRNetPose | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 2.459 ms | 0 - 200 MB | NPU
| HRNetPose | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 8.217 ms | 0 - 3 MB | NPU
| HRNetPose | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 1.937 ms | 0 - 4 MB | NPU
| HRNetPose | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.712 ms | 0 - 35 MB | NPU
| HRNetPose | ONNX | w8a16 | Qualcomm® QCS8450 | 2.459 ms | 0 - 200 MB | NPU
| HRNetPose | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 1.922 ms | 0 - 3 MB | NPU
| HRNetPose | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.749 ms | 29 - 29 MB | NPU
| HRNetPose | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 20.858 ms | 3 - 252 MB | NPU
| HRNetPose | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 2.322 ms | 0 - 135 MB | NPU
| HRNetPose | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.971 ms | 0 - 133 MB | NPU
| HRNetPose | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 0.971 ms | 0 - 133 MB | NPU
| HRNetPose | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.811 ms | 0 - 132 MB | NPU
| HRNetPose | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 2.322 ms | 0 - 135 MB | NPU
| HRNetPose | ONNX | w8a8 | Snapdragon® X2 Elite | 0.568 ms | 1 - 1 MB | NPU
| HRNetPose | ONNX | w8a8 | Snapdragon® X Elite | 1.11 ms | 28 - 28 MB | NPU
| HRNetPose | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.858 ms | 0 - 185 MB | NPU
| HRNetPose | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.759 ms | 0 - 188 MB | NPU
| HRNetPose | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 4.844 ms | 0 - 3 MB | NPU
| HRNetPose | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 1.359 ms | 0 - 4 MB | NPU
| HRNetPose | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.139 ms | 0 - 30 MB | NPU
| HRNetPose | ONNX | w8a8 | Qualcomm® QCS8450 | 1.759 ms | 0 - 188 MB | NPU
| HRNetPose | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 1.373 ms | 0 - 3 MB | NPU
| HRNetPose | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 1.11 ms | 28 - 28 MB | NPU
| HRNetPose | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 10.41 ms | 0 - 238 MB | NPU
| HRNetPose | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 1.502 ms | 0 - 124 MB | NPU
| HRNetPose | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.72 ms | 0 - 123 MB | NPU
| HRNetPose | ONNX | w8a8 | Snapdragon® 8 Elite Mobile | 0.72 ms | 0 - 123 MB | NPU
| HRNetPose | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.646 ms | 0 - 126 MB | NPU
| HRNetPose | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.502 ms | 0 - 124 MB | NPU
| HRNetPose | QNN_DLC | float | Snapdragon® X2 Elite | 1.665 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 | 1.978 ms | 0 - 113 MB | NPU
| HRNetPose | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 5.046 ms | 1 - 106 MB | NPU
| HRNetPose | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 4.377 ms | 1 - 4 MB | NPU
| HRNetPose | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 14.171 ms | 1 - 73 MB | NPU
| HRNetPose | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.73 ms | 1 - 114 MB | NPU
| HRNetPose | QNN_DLC | float | Qualcomm® SA8775P | 4.302 ms | 1 - 75 MB | NPU
| HRNetPose | QNN_DLC | float | Qualcomm® SA8650P | 4.302 ms | 1 - 75 MB | NPU
| HRNetPose | QNN_DLC | float | Qualcomm® SA8255P | 4.302 ms | 1 - 75 MB | NPU
| HRNetPose | QNN_DLC | float | Qualcomm® QCS8450 | 5.046 ms | 1 - 106 MB | NPU
| HRNetPose | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 4.063 ms | 3 - 5 MB | NPU
| HRNetPose | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 2.954 ms | 1 - 1 MB | NPU
| HRNetPose | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 1.568 ms | 1 - 73 MB | NPU
| HRNetPose | QNN_DLC | float | Qualcomm® SA7255P | 14.171 ms | 1 - 73 MB | NPU
| HRNetPose | QNN_DLC | float | Qualcomm® SA8295P | 4.591 ms | 0 - 65 MB | NPU
| HRNetPose | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 1.568 ms | 1 - 73 MB | NPU
| HRNetPose | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.294 ms | 1 - 76 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 1.324 ms | 0 - 0 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® X Elite | 2.122 ms | 0 - 0 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.384 ms | 0 - 144 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 2.696 ms | 0 - 148 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 8.5 ms | 0 - 2 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 2.078 ms | 0 - 3 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 5.128 ms | 0 - 100 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.89 ms | 0 - 2 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA8775P | 2.258 ms | 0 - 102 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA8650P | 2.258 ms | 0 - 102 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA8255P | 2.258 ms | 0 - 102 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 2.696 ms | 0 - 148 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 2.164 ms | 0 - 2 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 2.122 ms | 0 - 0 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 21.718 ms | 0 - 217 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 2.559 ms | 0 - 100 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 1.014 ms | 0 - 101 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA7255P | 5.128 ms | 0 - 100 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA8295P | 3.08 ms | 0 - 98 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 1.014 ms | 0 - 101 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.836 ms | 0 - 102 MB | NPU
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 2.559 ms | 0 - 100 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.686 ms | 0 - 0 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® X Elite | 1.266 ms | 0 - 0 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.85 ms | 0 - 136 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.734 ms | 0 - 135 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 5.465 ms | 2 - 4 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 1.276 ms | 0 - 3 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 2.858 ms | 0 - 90 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.126 ms | 0 - 2 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA8775P | 1.481 ms | 0 - 90 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA8650P | 1.481 ms | 0 - 90 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA8255P | 1.481 ms | 0 - 90 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 1.734 ms | 0 - 135 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 1.33 ms | 2 - 4 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 1.266 ms | 0 - 0 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 10.462 ms | 0 - 214 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 1.507 ms | 0 - 89 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.635 ms | 0 - 92 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA7255P | 2.858 ms | 0 - 90 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA8295P | 1.947 ms | 0 - 88 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 0.635 ms | 0 - 92 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.561 ms | 0 - 94 MB | NPU
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.507 ms | 0 - 89 MB | NPU
| HRNetPose | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.996 ms | 0 - 182 MB | NPU
| HRNetPose | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 5.015 ms | 0 - 173 MB | NPU
| HRNetPose | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 4.371 ms | 0 - 59 MB | NPU
| HRNetPose | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 14.154 ms | 0 - 112 MB | NPU
| HRNetPose | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.778 ms | 0 - 2 MB | NPU
| HRNetPose | TFLITE | float | Qualcomm® SA8775P | 4.36 ms | 0 - 114 MB | NPU
| HRNetPose | TFLITE | float | Qualcomm® SA8650P | 4.36 ms | 0 - 114 MB | NPU
| HRNetPose | TFLITE | float | Qualcomm® SA8255P | 4.36 ms | 0 - 114 MB | NPU
| HRNetPose | TFLITE | float | Qualcomm® QCS8450 | 5.015 ms | 0 - 173 MB | NPU
| HRNetPose | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 4.097 ms | 0 - 58 MB | NPU
| HRNetPose | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 1.552 ms | 0 - 114 MB | NPU
| HRNetPose | TFLITE | float | Qualcomm® SA7255P | 14.154 ms | 0 - 112 MB | NPU
| HRNetPose | TFLITE | float | Qualcomm® SA8295P | 4.641 ms | 0 - 102 MB | NPU
| HRNetPose | TFLITE | float | Snapdragon® 8 Elite Mobile | 1.552 ms | 0 - 114 MB | NPU
| HRNetPose | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.299 ms | 0 - 115 MB | NPU
| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.718 ms | 0 - 139 MB | NPU
| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.528 ms | 0 - 143 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 5.234 ms | 0 - 30 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 1.137 ms | 0 - 31 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 2.586 ms | 0 - 86 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.953 ms | 0 - 3 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA8775P | 1.339 ms | 0 - 89 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA8650P | 1.339 ms | 0 - 89 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA8255P | 1.339 ms | 0 - 89 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS8450 | 1.528 ms | 0 - 143 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 1.173 ms | 0 - 30 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 9.622 ms | 0 - 204 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 1.361 ms | 0 - 85 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.591 ms | 0 - 89 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA7255P | 2.586 ms | 0 - 86 MB | NPU
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA8295P | 1.792 ms | 0 - 85 MB | NPU
| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 0.591 ms | 0 - 89 MB | NPU
| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.516 ms | 0 - 91 MB | NPU
| HRNetPose | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.361 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
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