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 | 1.316 ms | 0 - 8 MB | FP16 | NPU |  [QuickSRNetSmall.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.01 ms | 0 - 49 MB | FP16 | NPU |  [QuickSRNetSmall.so](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.315 ms | 0 - 8 MB | FP16 | NPU |  [QuickSRNetSmall.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.999 ms | 0 - 61 MB | FP16 | NPU |  [QuickSRNetSmall.so](https://huggingface.co/qualcomm/QuickSRNetSmall/blob/main/QuickSRNetSmall.so) 
 
 
 ## Installation
@@ -93,16 +93,9 @@ python -m qai_hub_models.models.quicksrnetsmall.export
 ```
 Profile Job summary of QuickSRNetSmall
 --------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 1.33 ms
-Estimated Peak Memory Range: 0.03-7.76 MB
-Compute Units: NPU (8),CPU (3) | Total (11)
-
-Profile Job summary of QuickSRNetSmall
---------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 1.02 ms
-Estimated Peak Memory Range: 0.24-7.58 MB
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 1.09 ms
+Estimated Peak Memory Range: 0.23-0.23 MB
 Compute Units: NPU (11) | Total (11)