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 | 2.492 ms | 0 - 8 MB | FP16 | NPU |  [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 2.101 ms | 0 - 5 MB | FP16 | NPU |  [QuickSRNetLarge.so](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 2.434 ms | 0 - 1 MB | FP16 | NPU |  [QuickSRNetLarge.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 2.102 ms | 0 - 6 MB | FP16 | NPU |  [QuickSRNetLarge.so](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.so) 
 
 
 ## Installation
@@ -93,16 +93,9 @@ python -m qai_hub_models.models.quicksrnetlarge.export
 ```
 Profile Job summary of QuickSRNetLarge
 --------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 2.48 ms
-Estimated Peak Memory Range: 0.03-1.67 MB
-Compute Units: NPU (28),CPU (3) | Total (31)
-
-Profile Job summary of QuickSRNetLarge
---------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 2.10 ms
-Estimated Peak Memory Range: 0.21-12.43 MB
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 2.96 ms
+Estimated Peak Memory Range: 0.21-0.21 MB
 Compute Units: NPU (31) | Total (31)