Upload README.md with huggingface_hub

README.md

@@ -33,7 +33,8 @@ 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 | 0.987 ms | 0 - 2 MB | INT8 | NPU |  [QuickSRNetSmall-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall-Quantized/blob/main/QuickSRNetSmall-Quantized.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 0.957 ms | 1 - 3 MB | INT8 | NPU |  [QuickSRNetSmall-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetSmall-Quantized/blob/main/QuickSRNetSmall-Quantized.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.662 ms | 0 - 2 MB | INT8 | NPU |  [QuickSRNetSmall-Quantized.so](https://huggingface.co/qualcomm/QuickSRNetSmall-Quantized/blob/main/QuickSRNetSmall-Quantized.so) 
 
 
 ## Installation
@@ -93,10 +94,10 @@ python -m qai_hub_models.models.quicksrnetsmall_quantized.export
 ```
 Profile Job summary of QuickSRNetSmall-Quantized
 --------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 1.39 ms
-Estimated Peak Memory Range: 0.02-1.74 MB
-Compute Units: NPU (10),CPU (3) | Total (13)
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 0.76 ms
+Estimated Peak Memory Range: 0.05-0.05 MB
+Compute Units: NPU (8) | Total (8)
 
 
 ```