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 | 2.302 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 | 2.34 ms | 0 - 177 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 | 2.272 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 | 2.382 ms | 1 - 178 MB | FP16 | NPU |  [ResNet50.so](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.so) 
 
 
 ## Installation
@@ -97,16 +97,9 @@ python -m qai_hub_models.models.resnet50.export
 ```
 Profile Job summary of ResNet50
 --------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 2.30 ms
-Estimated Peak Memory Range: 0.02-2.06 MB
-Compute Units: NPU (79) | Total (79)
-
-Profile Job summary of ResNet50
---------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 2.34 ms
-Estimated Peak Memory Range: 0.60-177.60 MB
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 2.69 ms
+Estimated Peak Memory Range: 0.57-0.57 MB
 Compute Units: NPU (126) | Total (126)