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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 | 2.596 ms | 0 - 2 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 - 11 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 | 2.482 ms | 0 - 2 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 | 1.346 ms | 0 - 5 MB | FP16 | NPU |  [XLSR.so](https://huggingface.co/qualcomm/XLSR/blob/main/XLSR.so) 
 
 
 ## Installation
@@ -93,16 +93,9 @@ python -m qai_hub_models.models.xlsr.export
 ```
 Profile Job summary of XLSR
 --------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 2.71 ms
-Estimated Peak Memory Range: 6.32-7.73 MB
-Compute Units: NPU (13),CPU (3) | Total (16)
-
-Profile Job summary of XLSR
---------------------------------------------------
-Device: QCS8550 (Proxy) (12)
-Estimated Inference Time: 0.96 ms
-Estimated Peak Memory Range: 0.20-31.53 MB
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 3.99 ms
+Estimated Peak Memory Range: 0.23-0.23 MB
 Compute Units: NPU (21) | Total (21)