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README.md

@@ -38,8 +38,8 @@ 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 | 2.286 ms | 0 - 3 MB | FP16 | NPU |  [ResNet50.tflite](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 2.4 ms | 1 - 177 MB | FP16 | NPU |  [ResNet50.so](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 2.273 ms | 0 - 2 MB | FP16 | NPU |  [ResNet50.tflite](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 2.393 ms | 1 - 178 MB | FP16 | NPU |  [ResNet50.so](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.so) 
 
 
 
@@ -101,8 +101,8 @@ python -m qai_hub_models.models.resnet50.export
 Profile Job summary of ResNet50
 --------------------------------------------------
 Device: SA8255 (Proxy) (13)
-Estimated Inference Time: 2.38 ms
-Estimated Peak Memory Range: 0.59-177.22 MB
+Estimated Inference Time: 2.41 ms
+Estimated Peak Memory Range: 0.60-177.69 MB
 Compute Units: NPU (126) | Total (126)