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 | 8.55 ms | 4 - 6 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 | 7.881 ms | 0 - 13 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 | 8.557 ms | 0 - 7 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 | 7.883 ms | 0 - 10 MB | FP16 | NPU |  [FCN_ResNet50.so](https://huggingface.co/qualcomm/FCN_ResNet50/blob/main/FCN_ResNet50.so) 
 
 
 ## Installation
@@ -94,16 +94,16 @@ python -m qai_hub_models.models.fcn_resnet50.export
 Profile Job summary of FCN_ResNet50
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 6.41 ms
-Estimated Peak Memory Range: 4.05-72.84 MB
+Estimated Inference Time: 6.32 ms
+Estimated Peak Memory Range: 2.09-74.82 MB
 Compute Units: NPU (84) | Total (84)
 
 Profile Job summary of FCN_ResNet50
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 5.85 ms
-Estimated Peak Memory Range: 0.61-53.34 MB
-Compute Units: NPU (126) | Total (126)
+Estimated Inference Time: 5.82 ms
+Estimated Peak Memory Range: 0.59-56.95 MB
+Compute Units: NPU (125) | Total (125)
 
 
 ```