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README.md

@@ -34,8 +34,8 @@ 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 | 2.335 ms | 12 - 13 MB | FP16 | NPU |  [SESR-M5.tflite](https://huggingface.co/qualcomm/SESR-M5/blob/main/SESR-M5.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 2.13 ms | 0 - 5 MB | FP16 | NPU |  [SESR-M5.so](https://huggingface.co/qualcomm/SESR-M5/blob/main/SESR-M5.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 2.184 ms | 0 - 11 MB | FP16 | NPU |  [SESR-M5.tflite](https://huggingface.co/qualcomm/SESR-M5/blob/main/SESR-M5.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 2.154 ms | 0 - 4 MB | FP16 | NPU |  [SESR-M5.so](https://huggingface.co/qualcomm/SESR-M5/blob/main/SESR-M5.so) 
 
 
 
@@ -97,7 +97,7 @@ python -m qai_hub_models.models.sesr_m5.export
 Profile Job summary of SESR-M5
 --------------------------------------------------
 Device: Snapdragon X Elite CRD (11)
-Estimated Inference Time: 2.33 ms
+Estimated Inference Time: 2.34 ms
 Estimated Peak Memory Range: 0.20-0.20 MB
 Compute Units: NPU (31) | Total (31)