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README.md

@@ -38,8 +38,8 @@ 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 | 13.269 ms | 5 - 302 MB | INT8 | NPU |  [FCN-ResNet50-Quantized.tflite](https://huggingface.co/qualcomm/FCN-ResNet50-Quantized/blob/main/FCN-ResNet50-Quantized.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 14.742 ms | 0 - 44 MB | INT8 | NPU |  [FCN-ResNet50-Quantized.so](https://huggingface.co/qualcomm/FCN-ResNet50-Quantized/blob/main/FCN-ResNet50-Quantized.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 12.976 ms | 6 - 7 MB | INT8 | NPU |  [FCN-ResNet50-Quantized.tflite](https://huggingface.co/qualcomm/FCN-ResNet50-Quantized/blob/main/FCN-ResNet50-Quantized.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 14.822 ms | 0 - 16 MB | INT8 | NPU |  [FCN-ResNet50-Quantized.so](https://huggingface.co/qualcomm/FCN-ResNet50-Quantized/blob/main/FCN-ResNet50-Quantized.so) 
 
 
 
@@ -102,7 +102,7 @@ python -m qai_hub_models.models.fcn_resnet50_quantized.export
 Profile Job summary of FCN-ResNet50-Quantized
 --------------------------------------------------
 Device: Snapdragon X Elite CRD (11)
-Estimated Inference Time: 13.01 ms
+Estimated Inference Time: 12.99 ms
 Estimated Peak Memory Range: 0.76-0.76 MB
 Compute Units: NPU (78) | Total (78)