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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 | 2.467 ms | 0 - 2 MB | FP16 | NPU |  [ResNeXt50.tflite](https://huggingface.co/qualcomm/ResNeXt50/blob/main/ResNeXt50.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 2.558 ms | 0 - 94 MB | FP16 | NPU |  [ResNeXt50.so](https://huggingface.co/qualcomm/ResNeXt50/blob/main/ResNeXt50.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 2.51 ms | 0 - 1 MB | FP16 | NPU |  [ResNeXt50.tflite](https://huggingface.co/qualcomm/ResNeXt50/blob/main/ResNeXt50.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 2.591 ms | 0 - 84 MB | FP16 | NPU |  [ResNeXt50.so](https://huggingface.co/qualcomm/ResNeXt50/blob/main/ResNeXt50.so) 
 
 
 
@@ -101,8 +101,8 @@ python -m qai_hub_models.models.resnext50.export
 Profile Job summary of ResNeXt50
 --------------------------------------------------
 Device: SA8255 (Proxy) (13)
-Estimated Inference Time: 2.55 ms
-Estimated Peak Memory Range: 0.59-84.29 MB
+Estimated Inference Time: 2.56 ms
+Estimated Peak Memory Range: 0.03-93.60 MB
 Compute Units: NPU (126) | Total (126)