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README.md
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| Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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Install the package via pip:
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```bash
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pip install "qai-hub-models[hrnet-pose-quantized]"
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```
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```
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Profiling Results
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------------------------------------------------------------
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Device : Samsung Galaxy S23 (13)
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Runtime : TFLITE
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Estimated inference time (ms) : 1.0
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Estimated peak memory usage (MB): [0,
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Total # Ops : 518
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Compute Unit(s) : NPU (518 ops)
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```
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## Run demo on a cloud-hosted device
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You can also run the demo on-device.
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```bash
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python -m qai_hub_models.models.hrnet_pose_quantized.demo --on-device
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```
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**NOTE**: If you want running in a Jupyter Notebook or Google Colab like
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environment, please add the following to your cell (instead of the above).
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```
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%run -m qai_hub_models.models.hrnet_pose_quantized.demo -- --on-device
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```
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## Deploying compiled model to Android
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| Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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| HRNetPose | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 0.988 ms | 0 - 131 MB | INT8 | NPU | [HRNetPoseQuantized.tflite](https://huggingface.co/qualcomm/HRNetPoseQuantized/blob/main/HRNetPose.tflite) |
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| HRNetPose | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 1.131 ms | 0 - 3 MB | INT8 | NPU | [HRNetPoseQuantized.so](https://huggingface.co/qualcomm/HRNetPoseQuantized/blob/main/HRNetPose.so) |
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| HRNetPose | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 4.587 ms | 0 - 108 MB | INT8 | NPU | [HRNetPoseQuantized.onnx](https://huggingface.co/qualcomm/HRNetPoseQuantized/blob/main/HRNetPose.onnx) |
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| HRNetPose | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 0.715 ms | 0 - 90 MB | INT8 | NPU | [HRNetPoseQuantized.tflite](https://huggingface.co/qualcomm/HRNetPoseQuantized/blob/main/HRNetPose.tflite) |
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| HRNetPose | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.833 ms | 0 - 18 MB | INT8 | NPU | [HRNetPoseQuantized.so](https://huggingface.co/qualcomm/HRNetPoseQuantized/blob/main/HRNetPose.so) |
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| HRNetPose | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 3.383 ms | 0 - 163 MB | INT8 | NPU | [HRNetPoseQuantized.onnx](https://huggingface.co/qualcomm/HRNetPoseQuantized/blob/main/HRNetPose.onnx) |
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| HRNetPose | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 0.586 ms | 0 - 49 MB | INT8 | NPU | [HRNetPoseQuantized.tflite](https://huggingface.co/qualcomm/HRNetPoseQuantized/blob/main/HRNetPose.tflite) |
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| HRNetPose | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.693 ms | 0 - 52 MB | INT8 | NPU | Use Export Script |
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| HRNetPose | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 3.935 ms | 0 - 120 MB | INT8 | NPU | [HRNetPoseQuantized.onnx](https://huggingface.co/qualcomm/HRNetPoseQuantized/blob/main/HRNetPose.onnx) |
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| HRNetPose | SA7255P ADP | SA7255P | TFLITE | 13.956 ms | 0 - 48 MB | INT8 | NPU | [HRNetPoseQuantized.tflite](https://huggingface.co/qualcomm/HRNetPoseQuantized/blob/main/HRNetPose.tflite) |
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| HRNetPose | SA7255P ADP | SA7255P | QNN | 14.2 ms | 0 - 10 MB | INT8 | NPU | Use Export Script |
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| HRNetPose | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 0.98 ms | 0 - 131 MB | INT8 | NPU | [HRNetPoseQuantized.tflite](https://huggingface.co/qualcomm/HRNetPoseQuantized/blob/main/HRNetPose.tflite) |
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| HRNetPose | SA8255 (Proxy) | SA8255P Proxy | QNN | 1.14 ms | 0 - 2 MB | INT8 | NPU | Use Export Script |
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| HRNetPose | SA8295P ADP | SA8295P | TFLITE | 1.714 ms | 0 - 50 MB | INT8 | NPU | [HRNetPoseQuantized.tflite](https://huggingface.co/qualcomm/HRNetPoseQuantized/blob/main/HRNetPose.tflite) |
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| HRNetPose | SA8295P ADP | SA8295P | QNN | 1.871 ms | 0 - 18 MB | INT8 | NPU | Use Export Script |
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| HRNetPose | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 0.978 ms | 0 - 134 MB | INT8 | NPU | [HRNetPoseQuantized.tflite](https://huggingface.co/qualcomm/HRNetPoseQuantized/blob/main/HRNetPose.tflite) |
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| HRNetPose | SA8650 (Proxy) | SA8650P Proxy | QNN | 1.149 ms | 0 - 2 MB | INT8 | NPU | Use Export Script |
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| HRNetPose | SA8775P ADP | SA8775P | TFLITE | 1.44 ms | 0 - 48 MB | INT8 | NPU | [HRNetPoseQuantized.tflite](https://huggingface.co/qualcomm/HRNetPoseQuantized/blob/main/HRNetPose.tflite) |
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| HRNetPose | SA8775P ADP | SA8775P | QNN | 1.585 ms | 0 - 10 MB | INT8 | NPU | Use Export Script |
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| HRNetPose | RB3 Gen 2 (Proxy) | QCS6490 Proxy | TFLITE | 3.842 ms | 0 - 75 MB | INT8 | NPU | [HRNetPoseQuantized.tflite](https://huggingface.co/qualcomm/HRNetPoseQuantized/blob/main/HRNetPose.tflite) |
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| HRNetPose | RB3 Gen 2 (Proxy) | QCS6490 Proxy | QNN | 5.281 ms | 0 - 14 MB | INT8 | NPU | Use Export Script |
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| HRNetPose | RB5 (Proxy) | QCS8250 Proxy | TFLITE | 17.054 ms | 0 - 2 MB | INT8 | NPU | [HRNetPoseQuantized.tflite](https://huggingface.co/qualcomm/HRNetPoseQuantized/blob/main/HRNetPose.tflite) |
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| HRNetPose | QCS8275 (Proxy) | QCS8275 Proxy | TFLITE | 13.956 ms | 0 - 48 MB | INT8 | NPU | [HRNetPoseQuantized.tflite](https://huggingface.co/qualcomm/HRNetPoseQuantized/blob/main/HRNetPose.tflite) |
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| HRNetPose | QCS8275 (Proxy) | QCS8275 Proxy | QNN | 14.2 ms | 0 - 10 MB | INT8 | NPU | Use Export Script |
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| HRNetPose | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 0.963 ms | 0 - 132 MB | INT8 | NPU | [HRNetPoseQuantized.tflite](https://huggingface.co/qualcomm/HRNetPoseQuantized/blob/main/HRNetPose.tflite) |
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| HRNetPose | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 1.134 ms | 0 - 4 MB | INT8 | NPU | Use Export Script |
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| HRNetPose | QCS9075 (Proxy) | QCS9075 Proxy | TFLITE | 1.44 ms | 0 - 48 MB | INT8 | NPU | [HRNetPoseQuantized.tflite](https://huggingface.co/qualcomm/HRNetPoseQuantized/blob/main/HRNetPose.tflite) |
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| HRNetPose | QCS9075 (Proxy) | QCS9075 Proxy | QNN | 1.585 ms | 0 - 10 MB | INT8 | NPU | Use Export Script |
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| HRNetPose | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 1.366 ms | 0 - 94 MB | INT8 | NPU | [HRNetPoseQuantized.tflite](https://huggingface.co/qualcomm/HRNetPoseQuantized/blob/main/HRNetPose.tflite) |
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| HRNetPose | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 1.506 ms | 0 - 82 MB | INT8 | NPU | Use Export Script |
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| HRNetPose | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 1.303 ms | 0 - 0 MB | INT8 | NPU | Use Export Script |
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| HRNetPose | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 5.826 ms | 26 - 26 MB | INT8 | NPU | [HRNetPoseQuantized.onnx](https://huggingface.co/qualcomm/HRNetPoseQuantized/blob/main/HRNetPose.onnx) |
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Install the package via pip:
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```bash
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pip install "qai-hub-models[hrnet-pose-quantized]"
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```
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```
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Profiling Results
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------------------------------------------------------------
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HRNetPose
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Device : Samsung Galaxy S23 (13)
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Runtime : TFLITE
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Estimated inference time (ms) : 1.0
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Estimated peak memory usage (MB): [0, 131]
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Total # Ops : 518
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Compute Unit(s) : NPU (518 ops)
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```
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## Deploying compiled model to Android
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