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README.md
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- **Model Type:** Pose estimation
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- **Model Stats:**
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- Model checkpoint: hrnet_posenet_FP32_state_dict
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- Input resolution:
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- Number of parameters: 28.5M
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- Model size: 109 MB
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| Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 2.
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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 2.
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## Installation
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```
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Profile Job summary of HRNetPose
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Device:
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Estimated Inference Time:
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Estimated Peak Memory Range: 0.
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Compute Units: NPU (
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Profile Job summary of HRNetPose
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Device: QCS8550 (Proxy) (12)
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Estimated Inference Time: 2.29 ms
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Estimated Peak Memory Range: 0.58-56.72 MB
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Compute Units: NPU (745) | Total (745)
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```
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- **Model Type:** Pose estimation
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- **Model Stats:**
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- Model checkpoint: hrnet_posenet_FP32_state_dict
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- Input resolution: 256x192
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- Number of parameters: 28.5M
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- Model size: 109 MB
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| Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 2.818 ms | 0 - 3 MB | FP16 | NPU | [HRNetPose.tflite](https://huggingface.co/qualcomm/HRNetPose/blob/main/HRNetPose.tflite)
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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 2.886 ms | 0 - 20 MB | FP16 | NPU | [HRNetPose.so](https://huggingface.co/qualcomm/HRNetPose/blob/main/HRNetPose.so)
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## Installation
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```
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Profile Job summary of HRNetPose
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--------------------------------------------------
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Device: Snapdragon X Elite CRD (11)
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Estimated Inference Time: 3.16 ms
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Estimated Peak Memory Range: 0.56-0.56 MB
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Compute Units: NPU (747) | Total (747)
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```
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