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README.md

@@ -36,8 +36,8 @@ 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 | 1.974 ms | 0 - 2 MB | FP16 | NPU |  [RegNet.tflite](https://huggingface.co/qualcomm/RegNet/blob/main/RegNet.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.675 ms | 0 - 57 MB | FP16 | NPU |  [RegNet.so](https://huggingface.co/qualcomm/RegNet/blob/main/RegNet.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.895 ms | 0 - 43 MB | FP16 | NPU |  [RegNet.tflite](https://huggingface.co/qualcomm/RegNet/blob/main/RegNet.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.662 ms | 1 - 58 MB | FP16 | NPU |  [RegNet.so](https://huggingface.co/qualcomm/RegNet/blob/main/RegNet.so) 
 
 
 ## Installation
@@ -98,16 +98,16 @@ python -m qai_hub_models.models.regnet.export
 Profile Job summary of RegNet
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 1.36 ms
-Estimated Peak Memory Range: 0.02-125.82 MB
+Estimated Inference Time: 1.35 ms
+Estimated Peak Memory Range: 0.01-128.45 MB
 Compute Units: NPU (112) | Total (112)
 
 Profile Job summary of RegNet
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 1.20 ms
-Estimated Peak Memory Range: 0.59-65.35 MB
-Compute Units: NPU (187) | Total (187)
+Estimated Inference Time: 1.19 ms
+Estimated Peak Memory Range: 0.59-68.55 MB
+Compute Units: NPU (186) | Total (186)
 
 
 ```