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README.md

@@ -35,7 +35,7 @@ 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 | 290.843 ms | 0 - 142 MB | FP16 | GPU |  [DeepLabV3-ResNet50.tflite](https://huggingface.co/qualcomm/DeepLabV3-ResNet50/blob/main/DeepLabV3-ResNet50.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 291.699 ms | 0 - 142 MB | FP16 | GPU |  [DeepLabV3-ResNet50.tflite](https://huggingface.co/qualcomm/DeepLabV3-ResNet50/blob/main/DeepLabV3-ResNet50.tflite) 
 
 
 
@@ -97,8 +97,8 @@ python -m qai_hub_models.models.deeplabv3_resnet50.export
 Profile Job summary of DeepLabV3-ResNet50
 --------------------------------------------------
 Device: SA8255 (Proxy) (13)
-Estimated Inference Time: 291.05 ms
-Estimated Peak Memory Range: 0.00-266.71 MB
+Estimated Inference Time: 290.54 ms
+Estimated Peak Memory Range: 0.02-290.81 MB
 Compute Units: GPU (95) | Total (95)