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README.md

@@ -35,8 +35,8 @@ 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 | 1.157 ms | 0 - 9 MB | INT8 | NPU |  [Midas-V2-Quantized.tflite](https://huggingface.co/qualcomm/Midas-V2-Quantized/blob/main/Midas-V2-Quantized.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.494 ms | 0 - 64 MB | INT8 | NPU |  [Midas-V2-Quantized.so](https://huggingface.co/qualcomm/Midas-V2-Quantized/blob/main/Midas-V2-Quantized.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.074 ms | 0 - 237 MB | INT8 | NPU |  [Midas-V2-Quantized.tflite](https://huggingface.co/qualcomm/Midas-V2-Quantized/blob/main/Midas-V2-Quantized.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.422 ms | 0 - 8 MB | INT8 | NPU |  [Midas-V2-Quantized.so](https://huggingface.co/qualcomm/Midas-V2-Quantized/blob/main/Midas-V2-Quantized.so) 
 
 
 
@@ -99,9 +99,9 @@ python -m qai_hub_models.models.midas_quantized.export
 Profile Job summary of Midas-V2-Quantized
 --------------------------------------------------
 Device: Snapdragon X Elite CRD (11)
-Estimated Inference Time: 1.59 ms
-Estimated Peak Memory Range: 0.37-0.37 MB
-Compute Units: NPU (147) | Total (147)
+Estimated Inference Time: 1.46 ms
+Estimated Peak Memory Range: 0.41-0.41 MB
+Compute Units: NPU (146) | Total (146)
 
 
 ```