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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 | 1.428 ms | 0 - 2 MB | INT8 | NPU |  [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.908 ms | 0 - 8 MB | INT8 | NPU |  [QuickSRNetLarge-Quantized.so](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.501 ms | 0 - 6 MB | INT8 | NPU |  [QuickSRNetLarge-Quantized.tflite](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.907 ms | 0 - 8 MB | INT8 | NPU |  [QuickSRNetLarge-Quantized.so](https://huggingface.co/qualcomm/QuickSRNetLarge-Quantized/blob/main/QuickSRNetLarge-Quantized.so) 
 
 
 
@@ -99,8 +99,8 @@ python -m qai_hub_models.models.quicksrnetlarge_quantized.export
 Profile Job summary of QuickSRNetLarge-Quantized
 --------------------------------------------------
 Device: Snapdragon X Elite CRD (11)
-Estimated Inference Time: 0.99 ms
-Estimated Peak Memory Range: 1.00-1.00 MB
+Estimated Inference Time: 0.79 ms
+Estimated Peak Memory Range: 0.06-0.06 MB
 Compute Units: NPU (18) | Total (18)