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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 | QNN Model Library | 8.026 ms | 4 - 21 MB | FP16 | NPU |  [FastSam-S.so](https://huggingface.co/qualcomm/FastSam-S/blob/main/FastSam-S.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 8.062 ms | 6 - 22 MB | FP16 | NPU |  [FastSam-S.so](https://huggingface.co/qualcomm/FastSam-S/blob/main/FastSam-S.so) 
 
 
 
@@ -98,7 +98,7 @@ python -m qai_hub_models.models.fastsam_s.export
 Profile Job summary of FastSam-S
 --------------------------------------------------
 Device: Snapdragon X Elite CRD (11)
-Estimated Inference Time: 8.31 ms
+Estimated Inference Time: 8.38 ms
 Estimated Peak Memory Range: 4.70-4.70 MB
 Compute Units: NPU (286) | Total (286)