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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 | 7.246 ms | 6 - 8 MB | FP16 | NPU |  [Real-ESRGAN-General-x4v3.tflite](https://huggingface.co/qualcomm/Real-ESRGAN-General-x4v3/blob/main/Real-ESRGAN-General-x4v3.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 6.271 ms | 0 - 20 MB | FP16 | NPU |  [Real-ESRGAN-General-x4v3.so](https://huggingface.co/qualcomm/Real-ESRGAN-General-x4v3/blob/main/Real-ESRGAN-General-x4v3.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 7.505 ms | 15 - 23 MB | FP16 | NPU |  [Real-ESRGAN-General-x4v3.tflite](https://huggingface.co/qualcomm/Real-ESRGAN-General-x4v3/blob/main/Real-ESRGAN-General-x4v3.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 6.287 ms | 0 - 6 MB | FP16 | NPU |  [Real-ESRGAN-General-x4v3.so](https://huggingface.co/qualcomm/Real-ESRGAN-General-x4v3/blob/main/Real-ESRGAN-General-x4v3.so) 
 
 
 
@@ -98,8 +98,8 @@ python -m qai_hub_models.models.real_esrgan_general_x4v3.export
 Profile Job summary of Real-ESRGAN-General-x4v3
 --------------------------------------------------
 Device: SA8255 (Proxy) (13)
-Estimated Inference Time: 6.29 ms
-Estimated Peak Memory Range: 0.05-8.99 MB
+Estimated Inference Time: 6.27 ms
+Estimated Peak Memory Range: 0.01-8.62 MB
 Compute Units: NPU (72) | Total (72)