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README.md

@@ -36,7 +36,7 @@ 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 | 66.948 ms | 0 - 6 MB | FP16 | NPU |  [Swin-Base.tflite](https://huggingface.co/qualcomm/Swin-Base/blob/main/Swin-Base.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 66.984 ms | 0 - 4 MB | FP16 | NPU |  [Swin-Base.tflite](https://huggingface.co/qualcomm/Swin-Base/blob/main/Swin-Base.tflite) 
 
 
 ## Installation
@@ -97,8 +97,8 @@ python -m qai_hub_models.models.swin_base.export
 Profile Job summary of Swin-Base
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 43.46 ms
-Estimated Peak Memory Range: 0.07-450.77 MB
+Estimated Inference Time: 43.26 ms
+Estimated Peak Memory Range: 0.09-488.79 MB
 Compute Units: NPU (1614) | Total (1614)