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README.md

@@ -40,8 +40,8 @@ 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 | 0.371 ms | 0 - 1 MB | INT8 | NPU |  [MobileNet-v3-Large-Quantized.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Large-Quantized/blob/main/MobileNet-v3-Large-Quantized.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.622 ms | 0 - 12 MB | INT8 | NPU |  [MobileNet-v3-Large-Quantized.so](https://huggingface.co/qualcomm/MobileNet-v3-Large-Quantized/blob/main/MobileNet-v3-Large-Quantized.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 0.359 ms | 0 - 1 MB | INT8 | NPU |  [MobileNet-v3-Large-Quantized.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Large-Quantized/blob/main/MobileNet-v3-Large-Quantized.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.622 ms | 0 - 61 MB | INT8 | NPU |  [MobileNet-v3-Large-Quantized.so](https://huggingface.co/qualcomm/MobileNet-v3-Large-Quantized/blob/main/MobileNet-v3-Large-Quantized.so) 
 
 
 
@@ -104,8 +104,8 @@ python -m qai_hub_models.models.mobilenet_v3_large_quantized.export
 Profile Job summary of MobileNet-v3-Large-Quantized
 --------------------------------------------------
 Device: Snapdragon X Elite CRD (11)
-Estimated Inference Time: 0.72 ms
-Estimated Peak Memory Range: 0.61-0.61 MB
+Estimated Inference Time: 0.71 ms
+Estimated Peak Memory Range: 0.57-0.57 MB
 Compute Units: NPU (126) | Total (126)