Upload README.md with huggingface_hub

README.md

@@ -34,8 +34,8 @@ 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 | 42.451 ms | 21 - 24 MB | FP16 | NPU |  [FCN-ResNet50.tflite](https://huggingface.co/qualcomm/FCN-ResNet50/blob/main/FCN-ResNet50.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 42.16 ms | 3 - 20 MB | FP16 | NPU |  [FCN-ResNet50.so](https://huggingface.co/qualcomm/FCN-ResNet50/blob/main/FCN-ResNet50.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 42.516 ms | 21 - 24 MB | FP16 | NPU |  [FCN-ResNet50.tflite](https://huggingface.co/qualcomm/FCN-ResNet50/blob/main/FCN-ResNet50.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 42.169 ms | 3 - 20 MB | FP16 | NPU |  [FCN-ResNet50.so](https://huggingface.co/qualcomm/FCN-ResNet50/blob/main/FCN-ResNet50.so) 
 
 
 ## Installation
@@ -96,7 +96,7 @@ python -m qai_hub_models.models.fcn_resnet50.export
 Profile Job summary of FCN-ResNet50
 --------------------------------------------------
 Device: Snapdragon X Elite CRD (11)
-Estimated Inference Time: 68.58 ms
+Estimated Inference Time: 68.53 ms
 Estimated Peak Memory Range: 3.01-3.01 MB
 Compute Units: NPU (127) | Total (127)