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README.md

@@ -39,7 +39,7 @@ 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 | 3.44 ms | 0 - 19 MB | INT8 | NPU |  [ConvNext-Tiny-w8a16-Quantized.so](https://huggingface.co/qualcomm/ConvNext-Tiny-w8a16-Quantized/blob/main/ConvNext-Tiny-w8a16-Quantized.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 3.447 ms | 0 - 12 MB | INT8 | NPU |  [ConvNext-Tiny-w8a16-Quantized.so](https://huggingface.co/qualcomm/ConvNext-Tiny-w8a16-Quantized/blob/main/ConvNext-Tiny-w8a16-Quantized.so) 
 
 
 
@@ -102,8 +102,8 @@ python -m qai_hub_models.models.convnext_tiny_w8a16_quantized.export
 Profile Job summary of ConvNext-Tiny-w8a16-Quantized
 --------------------------------------------------
 Device: Snapdragon X Elite CRD (11)
-Estimated Inference Time: 3.49 ms
-Estimated Peak Memory Range: 1.43-1.43 MB
+Estimated Inference Time: 3.35 ms
+Estimated Peak Memory Range: 0.29-0.29 MB
 Compute Units: NPU (215) | Total (215)