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README.md

@@ -34,8 +34,8 @@ 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 | 2.439 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 | 2.109 ms | 0 - 63 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 | 2.442 ms | 0 - 3 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 | 2.116 ms | 0 - 5 MB | FP16 | NPU |  [QuickSRNetLarge.so](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.so) 
 
 
 
@@ -97,8 +97,8 @@ python -m qai_hub_models.models.quicksrnetlarge.export
 Profile Job summary of QuickSRNetLarge
 --------------------------------------------------
 Device: SA8255 (Proxy) (13)
-Estimated Inference Time: 2.10 ms
-Estimated Peak Memory Range: 0.04-16.41 MB
+Estimated Inference Time: 2.13 ms
+Estimated Peak Memory Range: 0.21-73.84 MB
 Compute Units: NPU (31) | Total (31)