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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 | 1.222 ms | 0 - 1 MB | INT8 | NPU |  [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.07 ms | 0 - 9 MB | INT8 | NPU |  [SESR-M5-Quantized.so](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.383 ms | 3 - 5 MB | INT8 | NPU |  [SESR-M5-Quantized.tflite](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.048 ms | 0 - 10 MB | INT8 | NPU |  [SESR-M5-Quantized.so](https://huggingface.co/qualcomm/SESR-M5-Quantized/blob/main/SESR-M5-Quantized.so) 
 
 
 
@@ -98,9 +98,9 @@ python -m qai_hub_models.models.sesr_m5_quantized.export
 ```
 Profile Job summary of SESR-M5-Quantized
 --------------------------------------------------
-Device: Snapdragon X Elite CRD (11)
-Estimated Inference Time: 1.05 ms
-Estimated Peak Memory Range: 0.05-0.05 MB
+Device: SA8255 (Proxy) (13)
+Estimated Inference Time: 1.04 ms
+Estimated Peak Memory Range: 0.03-8.62 MB
 Compute Units: NPU (26) | Total (26)