v0.49.1
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.49.1 for changelog.
README.md
CHANGED
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@@ -15,7 +15,7 @@ pipeline_tag: keypoint-detection
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HRNet performs pose estimation in high-resolution representations.
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This is based on the implementation of HRNetPose found [here](https://github.com/leoxiaobin/deep-high-resolution-net.pytorch).
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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/
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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.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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|---|---|---|---|---|
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| ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/hrnet_pose/releases/v0.
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| ONNX | w8a16 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/hrnet_pose/releases/v0.
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| ONNX | w8a8 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/hrnet_pose/releases/v0.
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| QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/hrnet_pose/releases/v0.
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| QNN_DLC | w8a16 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/hrnet_pose/releases/v0.
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| QNN_DLC | w8a8 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/hrnet_pose/releases/v0.
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| TFLITE | float | Universal | QAIRT 2.43, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/hrnet_pose/releases/v0.
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| TFLITE | w8a8 | Universal | QAIRT 2.43, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/hrnet_pose/releases/v0.
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For more device-specific assets and performance metrics, visit **[HRNetPose on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/hrnet_pose)**.
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### Option 2: Export with Custom Configurations
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Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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This option is ideal if you need to customize the model beyond the default configuration provided here.
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See our repository for [HRNetPose on GitHub](https://github.com/qualcomm/ai-hub-models/
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## Model Details
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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|---|---|---|---|---|---|---
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| HRNetPose | ONNX | float | Snapdragon®
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| HRNetPose | ONNX | float | Snapdragon®
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| HRNetPose | ONNX | float | Snapdragon®
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| HRNetPose | ONNX | float |
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| HRNetPose | ONNX | float | Qualcomm®
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| HRNetPose | ONNX | float |
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| HRNetPose | ONNX | float | Snapdragon® 8 Elite
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| HRNetPose | ONNX | w8a16 | Snapdragon®
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| HRNetPose | ONNX | w8a16 | Snapdragon®
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| HRNetPose | ONNX | w8a16 | Snapdragon®
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| HRNetPose | ONNX | w8a16 |
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| HRNetPose | ONNX | w8a16 | Qualcomm®
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| HRNetPose | ONNX | w8a16 | Qualcomm®
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| HRNetPose | ONNX | w8a16 | Qualcomm®
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| HRNetPose | ONNX | w8a16 |
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| HRNetPose | ONNX | w8a16 | Snapdragon®
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| HRNetPose | ONNX | w8a16 | Snapdragon®
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| HRNetPose | ONNX | w8a8 | Snapdragon®
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| HRNetPose | ONNX | w8a8 | Snapdragon®
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| HRNetPose | ONNX | w8a8 | Snapdragon®
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| HRNetPose | ONNX | w8a8 |
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| HRNetPose | ONNX | w8a8 | Qualcomm®
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| HRNetPose | ONNX | w8a8 | Qualcomm®
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| HRNetPose | ONNX | w8a8 | Qualcomm®
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| HRNetPose | ONNX | w8a8 |
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| HRNetPose | ONNX | w8a8 | Snapdragon®
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| HRNetPose | ONNX | w8a8 | Snapdragon®
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| HRNetPose | QNN_DLC | float | Snapdragon®
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| HRNetPose | QNN_DLC | float | Snapdragon®
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| HRNetPose | QNN_DLC | float | Snapdragon®
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| HRNetPose | QNN_DLC | float |
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| HRNetPose | QNN_DLC | float | Qualcomm®
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| HRNetPose | QNN_DLC | float | Qualcomm®
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| HRNetPose | QNN_DLC | float | Qualcomm®
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| HRNetPose | QNN_DLC | float | Qualcomm®
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| HRNetPose | QNN_DLC | float | Qualcomm®
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| HRNetPose | QNN_DLC | float | Qualcomm®
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| HRNetPose | QNN_DLC | float |
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| HRNetPose | QNN_DLC | float | Snapdragon® 8 Elite
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| HRNetPose | QNN_DLC | w8a16 | Snapdragon®
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| HRNetPose | QNN_DLC | w8a16 | Snapdragon®
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| HRNetPose | QNN_DLC | w8a16 | Snapdragon®
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| HRNetPose | QNN_DLC | w8a16 |
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| HRNetPose | QNN_DLC | w8a16 | Qualcomm®
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| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 1.89 ms | 0 - 2 MB | NPU
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| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA8775P | 2.
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| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 2.
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| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 20.
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| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 2.
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| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA7255P | 5.
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| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA8295P | 3.
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| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 1.
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| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 2.
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| HRNetPose | QNN_DLC |
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| HRNetPose | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.
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| HRNetPose | QNN_DLC | w8a8 | Snapdragon® X Elite | 1.
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| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.
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| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 3.
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| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 2.
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| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.
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| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA8775P | 1.
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| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 1.
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| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 10.
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| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 1.
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| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA7255P | 2.
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| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA8295P | 1.
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| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.
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| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.
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| HRNetPose |
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| HRNetPose | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.
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| HRNetPose | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 14.
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| HRNetPose | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 2.
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| HRNetPose | TFLITE | float | Qualcomm® SA8775P | 18.
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| HRNetPose | TFLITE | float | Qualcomm® QCS9075 | 4.
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| HRNetPose | TFLITE | float | Qualcomm® QCS8450 (Proxy) |
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| HRNetPose | TFLITE | float | Qualcomm® SA7255P | 14.
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| HRNetPose | TFLITE | float | Qualcomm® SA8295P | 4.
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| HRNetPose | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.
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| HRNetPose | TFLITE |
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| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.
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| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS6490 | 3.
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| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 2.
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| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.
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| HRNetPose | TFLITE | w8a8 | Qualcomm® SA8775P | 1.
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| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS9075 | 1.
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| HRNetPose | TFLITE | w8a8 | Qualcomm® QCM6690 | 9.
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| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 1.
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| HRNetPose | TFLITE | w8a8 | Qualcomm® SA7255P | 2.
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| HRNetPose | TFLITE | w8a8 | Qualcomm® SA8295P | 1.
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| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.
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| HRNetPose | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.
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| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.517 ms | 0 - 91 MB | NPU
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## License
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* The license for the original implementation of HRNetPose can be found
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HRNet performs pose estimation in high-resolution representations.
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This is based on the implementation of HRNetPose found [here](https://github.com/leoxiaobin/deep-high-resolution-net.pytorch).
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+
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/tree/v0.49.1/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).
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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.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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|---|---|---|---|---|
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| ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/hrnet_pose/releases/v0.49.1/hrnet_pose-onnx-float.zip)
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| ONNX | w8a16 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/hrnet_pose/releases/v0.49.1/hrnet_pose-onnx-w8a16.zip)
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| ONNX | w8a8 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/hrnet_pose/releases/v0.49.1/hrnet_pose-onnx-w8a8.zip)
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| QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/hrnet_pose/releases/v0.49.1/hrnet_pose-qnn_dlc-float.zip)
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| QNN_DLC | w8a16 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/hrnet_pose/releases/v0.49.1/hrnet_pose-qnn_dlc-w8a16.zip)
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| QNN_DLC | w8a8 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/hrnet_pose/releases/v0.49.1/hrnet_pose-qnn_dlc-w8a8.zip)
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| TFLITE | float | Universal | QAIRT 2.43, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/hrnet_pose/releases/v0.49.1/hrnet_pose-tflite-float.zip)
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| TFLITE | w8a8 | Universal | QAIRT 2.43, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/hrnet_pose/releases/v0.49.1/hrnet_pose-tflite-w8a8.zip)
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For more device-specific assets and performance metrics, visit **[HRNetPose on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/hrnet_pose)**.
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### Option 2: Export with Custom Configurations
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Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/tree/v0.49.1/qai_hub_models/models/hrnet_pose) Python library to compile and export the model with your own:
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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This option is ideal if you need to customize the model beyond the default configuration provided here.
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+
See our repository for [HRNetPose on GitHub](https://github.com/qualcomm/ai-hub-models/tree/v0.49.1/qai_hub_models/models/hrnet_pose) for usage instructions.
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## Model Details
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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|---|---|---|---|---|---|---
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| HRNetPose | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.221 ms | 1 - 91 MB | NPU
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| HRNetPose | ONNX | float | Snapdragon® X2 Elite | 1.327 ms | 55 - 55 MB | NPU
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| HRNetPose | ONNX | float | Snapdragon® X Elite | 2.609 ms | 55 - 55 MB | NPU
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| HRNetPose | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.83 ms | 0 - 139 MB | NPU
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| HRNetPose | ONNX | float | Qualcomm® QCS8550 (Proxy) | 2.429 ms | 0 - 58 MB | NPU
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| HRNetPose | ONNX | float | Qualcomm® QCS9075 | 3.901 ms | 0 - 4 MB | NPU
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| HRNetPose | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.5 ms | 0 - 90 MB | NPU
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| HRNetPose | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.786 ms | 0 - 129 MB | NPU
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| HRNetPose | ONNX | w8a16 | Snapdragon® X2 Elite | 1.007 ms | 28 - 28 MB | NPU
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| HRNetPose | ONNX | w8a16 | Snapdragon® X Elite | 1.983 ms | 28 - 28 MB | NPU
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| HRNetPose | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.318 ms | 0 - 201 MB | NPU
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| HRNetPose | ONNX | w8a16 | Qualcomm® QCS6490 | 492.514 ms | 29 - 34 MB | CPU
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| HRNetPose | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 1.725 ms | 0 - 37 MB | NPU
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| HRNetPose | ONNX | w8a16 | Qualcomm® QCS9075 | 1.999 ms | 0 - 3 MB | NPU
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| HRNetPose | ONNX | w8a16 | Qualcomm® QCM6690 | 221.695 ms | 30 - 49 MB | CPU
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| HRNetPose | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.981 ms | 0 - 131 MB | NPU
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| HRNetPose | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 213.886 ms | 27 - 41 MB | CPU
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| HRNetPose | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.8 ms | 0 - 122 MB | NPU
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| HRNetPose | ONNX | w8a8 | Snapdragon® X2 Elite | 0.768 ms | 30 - 30 MB | NPU
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| HRNetPose | ONNX | w8a8 | Snapdragon® X Elite | 1.63 ms | 28 - 28 MB | NPU
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| HRNetPose | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.046 ms | 0 - 186 MB | NPU
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| HRNetPose | ONNX | w8a8 | Qualcomm® QCS6490 | 90.653 ms | 8 - 68 MB | CPU
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| HRNetPose | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.494 ms | 0 - 6 MB | NPU
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| HRNetPose | ONNX | w8a8 | Qualcomm® QCS9075 | 1.544 ms | 0 - 3 MB | NPU
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| HRNetPose | ONNX | w8a8 | Qualcomm® QCM6690 | 61.059 ms | 10 - 35 MB | CPU
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| HRNetPose | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.928 ms | 0 - 122 MB | NPU
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| HRNetPose | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 58.317 ms | 9 - 29 MB | CPU
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| HRNetPose | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.24 ms | 1 - 78 MB | NPU
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| HRNetPose | QNN_DLC | float | Snapdragon® X2 Elite | 1.644 ms | 1 - 1 MB | NPU
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| HRNetPose | QNN_DLC | float | Snapdragon® X Elite | 2.937 ms | 1 - 1 MB | NPU
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| HRNetPose | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.944 ms | 0 - 118 MB | NPU
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| HRNetPose | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 14.164 ms | 1 - 75 MB | NPU
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| HRNetPose | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 2.723 ms | 0 - 10 MB | NPU
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| HRNetPose | QNN_DLC | float | Qualcomm® SA8775P | 4.302 ms | 1 - 76 MB | NPU
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| HRNetPose | QNN_DLC | float | Qualcomm® QCS9075 | 4.139 ms | 1 - 3 MB | NPU
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| HRNetPose | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 4.968 ms | 0 - 108 MB | NPU
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| HRNetPose | QNN_DLC | float | Qualcomm® SA7255P | 14.164 ms | 1 - 75 MB | NPU
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| 105 |
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| HRNetPose | QNN_DLC | float | Qualcomm® SA8295P | 4.58 ms | 1 - 67 MB | NPU
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| 106 |
+
| HRNetPose | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.546 ms | 0 - 74 MB | NPU
|
| 107 |
+
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.802 ms | 0 - 100 MB | NPU
|
| 108 |
+
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 1.297 ms | 0 - 0 MB | NPU
|
| 109 |
+
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® X Elite | 2.155 ms | 0 - 0 MB | NPU
|
| 110 |
+
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.393 ms | 0 - 149 MB | NPU
|
| 111 |
+
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 6.79 ms | 0 - 2 MB | NPU
|
| 112 |
+
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 5.175 ms | 0 - 98 MB | NPU
|
| 113 |
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 1.89 ms | 0 - 2 MB | NPU
|
| 114 |
+
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA8775P | 2.275 ms | 0 - 101 MB | NPU
|
| 115 |
+
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 2.2 ms | 0 - 2 MB | NPU
|
| 116 |
+
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 20.341 ms | 0 - 217 MB | NPU
|
| 117 |
+
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 2.623 ms | 0 - 150 MB | NPU
|
| 118 |
+
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA7255P | 5.175 ms | 0 - 98 MB | NPU
|
| 119 |
+
| HRNetPose | QNN_DLC | w8a16 | Qualcomm® SA8295P | 3.166 ms | 0 - 97 MB | NPU
|
| 120 |
+
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 1.013 ms | 0 - 100 MB | NPU
|
| 121 |
+
| HRNetPose | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 2.535 ms | 0 - 99 MB | NPU
|
| 122 |
+
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.567 ms | 0 - 92 MB | NPU
|
| 123 |
+
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.773 ms | 0 - 0 MB | NPU
|
| 124 |
+
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® X Elite | 1.297 ms | 0 - 0 MB | NPU
|
| 125 |
+
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.83 ms | 0 - 133 MB | NPU
|
| 126 |
+
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 3.835 ms | 0 - 2 MB | NPU
|
| 127 |
+
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 2.833 ms | 0 - 88 MB | NPU
|
| 128 |
+
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 1.143 ms | 0 - 2 MB | NPU
|
| 129 |
+
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA8775P | 1.5 ms | 0 - 91 MB | NPU
|
| 130 |
+
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 1.321 ms | 0 - 2 MB | NPU
|
| 131 |
+
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 10.308 ms | 0 - 212 MB | NPU
|
| 132 |
+
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 1.756 ms | 0 - 135 MB | NPU
|
| 133 |
+
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA7255P | 2.833 ms | 0 - 88 MB | NPU
|
| 134 |
+
| HRNetPose | QNN_DLC | w8a8 | Qualcomm® SA8295P | 1.989 ms | 0 - 87 MB | NPU
|
| 135 |
+
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.648 ms | 0 - 92 MB | NPU
|
| 136 |
+
| HRNetPose | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.524 ms | 0 - 88 MB | NPU
|
| 137 |
+
| HRNetPose | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.285 ms | 0 - 118 MB | NPU
|
| 138 |
+
| HRNetPose | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.98 ms | 0 - 187 MB | NPU
|
| 139 |
+
| HRNetPose | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 14.189 ms | 0 - 114 MB | NPU
|
| 140 |
+
| HRNetPose | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 2.714 ms | 0 - 2 MB | NPU
|
| 141 |
+
| HRNetPose | TFLITE | float | Qualcomm® SA8775P | 18.703 ms | 0 - 116 MB | NPU
|
| 142 |
+
| HRNetPose | TFLITE | float | Qualcomm® QCS9075 | 4.168 ms | 0 - 58 MB | NPU
|
| 143 |
+
| HRNetPose | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 5.033 ms | 0 - 179 MB | NPU
|
| 144 |
+
| HRNetPose | TFLITE | float | Qualcomm® SA7255P | 14.189 ms | 0 - 114 MB | NPU
|
| 145 |
+
| HRNetPose | TFLITE | float | Qualcomm® SA8295P | 4.602 ms | 0 - 105 MB | NPU
|
| 146 |
+
| HRNetPose | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.562 ms | 0 - 109 MB | NPU
|
| 147 |
+
| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.515 ms | 0 - 90 MB | NPU
|
| 148 |
+
| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.726 ms | 0 - 143 MB | NPU
|
| 149 |
+
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS6490 | 3.244 ms | 0 - 30 MB | NPU
|
| 150 |
+
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 2.556 ms | 0 - 86 MB | NPU
|
| 151 |
+
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.954 ms | 0 - 2 MB | NPU
|
| 152 |
+
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA8775P | 1.371 ms | 0 - 89 MB | NPU
|
| 153 |
+
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS9075 | 1.126 ms | 0 - 30 MB | NPU
|
| 154 |
+
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCM6690 | 9.62 ms | 0 - 207 MB | NPU
|
| 155 |
+
| HRNetPose | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 1.562 ms | 0 - 145 MB | NPU
|
| 156 |
+
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA7255P | 2.556 ms | 0 - 86 MB | NPU
|
| 157 |
+
| HRNetPose | TFLITE | w8a8 | Qualcomm® SA8295P | 1.793 ms | 0 - 85 MB | NPU
|
| 158 |
+
| HRNetPose | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.579 ms | 0 - 89 MB | NPU
|
| 159 |
+
| HRNetPose | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.358 ms | 0 - 85 MB | NPU
|
|
|
|
| 160 |
|
| 161 |
## License
|
| 162 |
* The license for the original implementation of HRNetPose can be found
|