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README.md

@@ -31,7 +31,7 @@ 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 | 15.866 ms | 6 - 10 MB | FP16 | NPU |  [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 15.544 ms | 6 - 20 MB | FP16 | NPU |  [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) 
 
 
 ## Installation
@@ -93,8 +93,8 @@ python -m qai_hub_models.models.litehrnet.export
 Profile Job summary of LiteHRNet
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 10.70 ms
-Estimated Peak Memory Range: 0.02-68.35 MB
+Estimated Inference Time: 10.37 ms
+Estimated Peak Memory Range: 0.02-69.57 MB
 Compute Units: NPU (1226),CPU (10) | Total (1236)