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README.md

@@ -38,7 +38,7 @@ 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 | 2.021 ms | 0 - 2 MB | FP16 | NPU |  [RegNet.tflite](https://huggingface.co/qualcomm/RegNet/blob/main/RegNet.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 2.07 ms | 0 - 5 MB | FP16 | NPU |  [RegNet.tflite](https://huggingface.co/qualcomm/RegNet/blob/main/RegNet.tflite) 
 | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 2.129 ms | 0 - 62 MB | FP16 | NPU |  [RegNet.so](https://huggingface.co/qualcomm/RegNet/blob/main/RegNet.so) 
 
 
@@ -101,8 +101,8 @@ python -m qai_hub_models.models.regnet.export
 Profile Job summary of RegNet
 --------------------------------------------------
 Device: Snapdragon X Elite CRD (11)
-Estimated Inference Time: 2.23 ms
-Estimated Peak Memory Range: 1.17-1.17 MB
+Estimated Inference Time: 2.18 ms
+Estimated Peak Memory Range: 0.57-0.57 MB
 Compute Units: NPU (188) | Total (188)