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README.md

@@ -36,8 +36,8 @@ 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 | 3.366 ms | 0 - 2 MB | FP16 | NPU |  [ResNet101.tflite](https://huggingface.co/qualcomm/ResNet101/blob/main/ResNet101.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 3.453 ms | 1 - 166 MB | FP16 | NPU |  [ResNet101.so](https://huggingface.co/qualcomm/ResNet101/blob/main/ResNet101.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 3.398 ms | 0 - 2 MB | FP16 | NPU |  [ResNet101.tflite](https://huggingface.co/qualcomm/ResNet101/blob/main/ResNet101.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 3.467 ms | 1 - 166 MB | FP16 | NPU |  [ResNet101.so](https://huggingface.co/qualcomm/ResNet101/blob/main/ResNet101.so) 
 
 
 ## Installation
@@ -98,7 +98,7 @@ python -m qai_hub_models.models.resnet101.export
 Profile Job summary of ResNet101
 --------------------------------------------------
 Device: Snapdragon X Elite CRD (11)
-Estimated Inference Time: 3.99 ms
+Estimated Inference Time: 4.03 ms
 Estimated Peak Memory Range: 0.57-0.57 MB
 Compute Units: NPU (245) | Total (245)