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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 | 2.5 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 - 5 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 | 2.479 ms | 0 - 2 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 | 2.103 ms | 0 - 67 MB | FP16 | NPU |  [QuickSRNetLarge.so](https://huggingface.co/qualcomm/QuickSRNetLarge/blob/main/QuickSRNetLarge.so) 
 
 
 ## Installation
@@ -94,16 +94,16 @@ python -m qai_hub_models.models.quicksrnetlarge.export
 Profile Job summary of QuickSRNetLarge
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 1.78 ms
-Estimated Peak Memory Range: 0.02-26.35 MB
+Estimated Inference Time: 1.72 ms
+Estimated Peak Memory Range: 0.02-26.78 MB
 Compute Units: NPU (28),CPU (3) | Total (31)
 
 Profile Job summary of QuickSRNetLarge
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 1.51 ms
-Estimated Peak Memory Range: 0.20-17.69 MB
-Compute Units: NPU (32) | Total (32)
+Estimated Inference Time: 1.49 ms
+Estimated Peak Memory Range: 0.20-17.20 MB
+Compute Units: NPU (31) | Total (31)
 
 
 ```