Upload README.md with huggingface_hub

README.md

@@ -36,8 +36,8 @@ 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 | 1.898 ms | 0 - 2 MB | FP16 | NPU |  [ResNet50.tflite](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.79 ms | 1 - 178 MB | FP16 | NPU |  [ResNet50.so](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.893 ms | 0 - 2 MB | FP16 | NPU |  [ResNet50.tflite](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.782 ms | 1 - 178 MB | FP16 | NPU |  [ResNet50.so](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.so) 
 
 
 ## Installation
@@ -98,16 +98,16 @@ python -m qai_hub_models.models.resnet50.export
 Profile Job summary of ResNet50
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 1.39 ms
-Estimated Peak Memory Range: 0.02-65.55 MB
+Estimated Inference Time: 1.41 ms
+Estimated Peak Memory Range: 0.00-65.18 MB
 Compute Units: NPU (77) | Total (77)
 
 Profile Job summary of ResNet50
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 1.31 ms
-Estimated Peak Memory Range: 0.00-43.86 MB
-Compute Units: NPU (125) | Total (125)
+Estimated Inference Time: 1.30 ms
+Estimated Peak Memory Range: 0.59-47.29 MB
+Compute Units: NPU (124) | Total (124)
 
 
 ```