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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 | 1.717 ms | 0 - 131 MB | INT8 | NPU |  [ConvNext-Tiny-w8a8-Quantized.so](https://huggingface.co/qualcomm/ConvNext-Tiny-w8a8-Quantized/blob/main/ConvNext-Tiny-w8a8-Quantized.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.727 ms | 0 - 101 MB | INT8 | NPU |  [ConvNext-Tiny-w8a8-Quantized.so](https://huggingface.co/qualcomm/ConvNext-Tiny-w8a8-Quantized/blob/main/ConvNext-Tiny-w8a8-Quantized.so) 
 
 
 
@@ -101,9 +101,9 @@ python -m qai_hub_models.models.convnext_tiny_w8a8_quantized.export
 ```
 Profile Job summary of ConvNext-Tiny-w8a8-Quantized
 --------------------------------------------------
-Device: SA8255 (Proxy) (13)
-Estimated Inference Time: 1.72 ms
-Estimated Peak Memory Range: 0.02-130.98 MB
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 1.80 ms
+Estimated Peak Memory Range: 0.44-0.44 MB
 Compute Units: NPU (215) | Total (215)