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README.md

@@ -33,8 +33,8 @@ 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 | 9.217 ms | 0 - 18 MB | FP16 | NPU |  [YOLOv8-Detection.tflite](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 7.039 ms | 5 - 18 MB | FP16 | NPU |  [YOLOv8-Detection.so](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 6.113 ms | 0 - 9 MB | FP16 | NPU |  [YOLOv8-Detection.tflite](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 5.316 ms | 5 - 18 MB | FP16 | NPU |  [YOLOv8-Detection.so](https://huggingface.co/qualcomm/YOLOv8-Detection/blob/main/YOLOv8-Detection.so) 
 
 
 ## Installation
@@ -96,16 +96,16 @@ python -m qai_hub_models.models.yolov8_det.export
 Profile Job summary of YOLOv8-Detection
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 6.50 ms
-Estimated Peak Memory Range: 0.02-79.98 MB
+Estimated Inference Time: 4.32 ms
+Estimated Peak Memory Range: 0.07-84.61 MB
 Compute Units: NPU (300) | Total (300)
 
 Profile Job summary of YOLOv8-Detection
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 4.84 ms
-Estimated Peak Memory Range: 4.72-117.70 MB
-Compute Units: NPU (294) | Total (294)
+Estimated Inference Time: 3.68 ms
+Estimated Peak Memory Range: 4.70-105.62 MB
+Compute Units: NPU (293) | Total (293)
 
 
 ```