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README.md

@@ -35,8 +35,8 @@ 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 | 0.997 ms | 0 - 2 MB | INT8 | NPU |  [QuickSRNetMedium-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium-Quantized/blob/main/QuickSRNetMedium-Quantized.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.804 ms | 0 - 3 MB | INT8 | NPU |  [QuickSRNetMedium-Quantized.so](https://huggingface.co/qualcomm/QuickSRNetMedium-Quantized/blob/main/QuickSRNetMedium-Quantized.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.157 ms | 0 - 3 MB | INT8 | NPU |  [QuickSRNetMedium-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium-Quantized/blob/main/QuickSRNetMedium-Quantized.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.811 ms | 0 - 10 MB | INT8 | NPU |  [QuickSRNetMedium-Quantized.so](https://huggingface.co/qualcomm/QuickSRNetMedium-Quantized/blob/main/QuickSRNetMedium-Quantized.so) 
 
 
 
@@ -100,7 +100,7 @@ Profile Job summary of QuickSRNetMedium-Quantized
 --------------------------------------------------
 Device: SA8255 (Proxy) (13)
 Estimated Inference Time: 0.80 ms
-Estimated Peak Memory Range: 0.02-13.96 MB
+Estimated Peak Memory Range: 0.07-9.63 MB
 Compute Units: NPU (11) | Total (11)