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README.md

@@ -26,7 +26,7 @@ More details on model performance across various devices, can be found
 - **Model Type:** Super resolution
 - **Model Stats:**
   - Model checkpoint: xlsr_3x_checkpoint
-  - Input resolution: 640x360
+  - Input resolution: 128x128
   - Number of parameters: 22.0K
   - Model size: 39.0 KB
 
@@ -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 | 1.141 ms | 0 - 5 MB | INT8 | NPU |  [XLSR-Quantized.tflite](https://huggingface.co/qualcomm/XLSR-Quantized/blob/main/XLSR-Quantized.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.799 ms | 0 - 12 MB | INT8 | NPU |  [XLSR-Quantized.so](https://huggingface.co/qualcomm/XLSR-Quantized/blob/main/XLSR-Quantized.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.129 ms | 0 - 2 MB | INT8 | NPU |  [XLSR-Quantized.tflite](https://huggingface.co/qualcomm/XLSR-Quantized/blob/main/XLSR-Quantized.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.807 ms | 0 - 69 MB | INT8 | NPU |  [XLSR-Quantized.so](https://huggingface.co/qualcomm/XLSR-Quantized/blob/main/XLSR-Quantized.so) 
 
 
 
@@ -99,7 +99,7 @@ python -m qai_hub_models.models.xlsr_quantized.export
 Profile Job summary of XLSR-Quantized
 --------------------------------------------------
 Device: Snapdragon X Elite CRD (11)
-Estimated Inference Time: 0.96 ms
+Estimated Inference Time: 0.86 ms
 Estimated Peak Memory Range: 0.05-0.05 MB
 Compute Units: NPU (17) | Total (17)