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README.md

@@ -32,8 +32,8 @@ 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 | 2.508 ms | 0 - 9 MB | FP16 | NPU |  [XLSR.tflite](https://huggingface.co/qualcomm/XLSR/blob/main/XLSR.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.987 ms | 2 - 10 MB | FP16 | NPU |  [XLSR.so](https://huggingface.co/qualcomm/XLSR/blob/main/XLSR.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 2.52 ms | 0 - 1 MB | FP16 | NPU |  [XLSR.tflite](https://huggingface.co/qualcomm/XLSR/blob/main/XLSR.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.971 ms | 0 - 65 MB | FP16 | NPU |  [XLSR.so](https://huggingface.co/qualcomm/XLSR/blob/main/XLSR.so) 
 
 
 ## Installation
@@ -94,16 +94,16 @@ python -m qai_hub_models.models.xlsr.export
 Profile Job summary of XLSR
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 2.00 ms
-Estimated Peak Memory Range: 0.02-18.96 MB
+Estimated Inference Time: 1.80 ms
+Estimated Peak Memory Range: 0.02-18.79 MB
 Compute Units: NPU (13),CPU (3) | Total (16)
 
 Profile Job summary of XLSR
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
 Estimated Inference Time: 0.63 ms
-Estimated Peak Memory Range: 0.21-17.21 MB
-Compute Units: NPU (22) | Total (22)
+Estimated Peak Memory Range: 0.20-17.23 MB
+Compute Units: NPU (21) | Total (21)
 
 
 ```