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 | 1.385 ms | 0 - 1 MB | FP16 | NPU |  [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.998 ms | 0 - 7 MB | FP16 | NPU |  [QuickSRNetMedium.so](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.388 ms | 0 - 2 MB | FP16 | NPU |  [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.011 ms | 0 - 8 MB | FP16 | NPU |  [QuickSRNetMedium.so](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.so) 
 
 
 ## Installation
@@ -93,16 +93,9 @@ python -m qai_hub_models.models.quicksrnetmedium.export
 ```
 Profile Job summary of QuickSRNetMedium
 --------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 1.36 ms
-Estimated Peak Memory Range: 0.02-15.48 MB
-Compute Units: NPU (14),CPU (3) | Total (17)
-
-Profile Job summary of QuickSRNetMedium
---------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 1.00 ms
-Estimated Peak Memory Range: 0.21-5.79 MB
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 1.13 ms
+Estimated Peak Memory Range: 0.21-0.21 MB
 Compute Units: NPU (17) | Total (17)