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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 | 1.053 ms | 0 - 2 MB | FP16 | NPU |  [ResNet18.tflite](https://huggingface.co/qualcomm/ResNet18/blob/main/ResNet18.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.989 ms | 0 - 81 MB | FP16 | NPU |  [ResNet18.so](https://huggingface.co/qualcomm/ResNet18/blob/main/ResNet18.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.038 ms | 0 - 2 MB | FP16 | NPU |  [ResNet18.tflite](https://huggingface.co/qualcomm/ResNet18/blob/main/ResNet18.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.985 ms | 0 - 91 MB | FP16 | NPU |  [ResNet18.so](https://huggingface.co/qualcomm/ResNet18/blob/main/ResNet18.so) 
 
 
 ## Installation
@@ -99,15 +99,15 @@ Profile Job summary of ResNet18
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
 Estimated Inference Time: 0.77 ms
-Estimated Peak Memory Range: 0.01-22.53 MB
+Estimated Peak Memory Range: 0.01-22.55 MB
 Compute Units: NPU (36) | Total (36)
 
 Profile Job summary of ResNet18
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
 Estimated Inference Time: 0.72 ms
-Estimated Peak Memory Range: 0.60-24.10 MB
-Compute Units: NPU (52) | Total (52)
+Estimated Peak Memory Range: 0.59-25.44 MB
+Compute Units: NPU (51) | Total (51)
 
 
 ```