Upload README.md with huggingface_hub

README.md

@@ -32,8 +32,8 @@ More details on model performance across various devices, can be found
 
 | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
 | ---|---|---|---|---|---|---|---|
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 2.519 ms | 0 - 3 MB | FP16 | NPU |  [HRNetPose.tflite](https://huggingface.co/qualcomm/HRNetPose/blob/main/HRNetPose.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 2.608 ms | 0 - 55 MB | FP16 | NPU |  [HRNetPose.so](https://huggingface.co/qualcomm/HRNetPose/blob/main/HRNetPose.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 2.297 ms | 0 - 3 MB | FP16 | NPU |  [HRNetPose.tflite](https://huggingface.co/qualcomm/HRNetPose/blob/main/HRNetPose.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 2.295 ms | 0 - 56 MB | FP16 | NPU |  [HRNetPose.so](https://huggingface.co/qualcomm/HRNetPose/blob/main/HRNetPose.so) 
 
 
 ## Installation
@@ -95,16 +95,16 @@ python -m qai_hub_models.models.hrnet_pose.export
 Profile Job summary of HRNetPose
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 1.88 ms
-Estimated Peak Memory Range: 0.02-98.61 MB
-Compute Units: NPU (515) | Total (515)
+Estimated Inference Time: 1.72 ms
+Estimated Peak Memory Range: 0.02-101.37 MB
+Compute Units: NPU (514) | Total (514)
 
 Profile Job summary of HRNetPose
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 1.92 ms
-Estimated Peak Memory Range: 0.58-169.97 MB
-Compute Units: NPU (747) | Total (747)
+Estimated Inference Time: 1.72 ms
+Estimated Peak Memory Range: 0.58-169.46 MB
+Compute Units: NPU (745) | Total (745)
 
 
 ```