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README.md

@@ -37,8 +37,8 @@ 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 | 1.046 ms | 0 - 2 MB | FP16 | NPU |  [GoogLeNet.tflite](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.088 ms | 0 - 87 MB | FP16 | NPU |  [GoogLeNet.so](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.05 ms | 0 - 2 MB | FP16 | NPU |  [GoogLeNet.tflite](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.086 ms | 0 - 25 MB | FP16 | NPU |  [GoogLeNet.so](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.so) 
 
 
 
@@ -100,8 +100,8 @@ python -m qai_hub_models.models.googlenet.export
 Profile Job summary of GoogLeNet
 --------------------------------------------------
 Device: SA8255 (Proxy) (13)
-Estimated Inference Time: 1.09 ms
-Estimated Peak Memory Range: 0.02-15.25 MB
+Estimated Inference Time: 1.08 ms
+Estimated Peak Memory Range: 0.02-10.79 MB
 Compute Units: NPU (143) | Total (143)