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README.md

@@ -36,7 +36,7 @@ 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 | 2.332 ms | 0 - 3 MB | INT8 | NPU |  [YOLOv8-Detection-Quantized.tflite](https://huggingface.co/qualcomm/YOLOv8-Detection-Quantized/blob/main/YOLOv8-Detection-Quantized.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 2.346 ms | 0 - 2 MB | INT8 | NPU |  [YOLOv8-Detection-Quantized.tflite](https://huggingface.co/qualcomm/YOLOv8-Detection-Quantized/blob/main/YOLOv8-Detection-Quantized.tflite) 
 
 
 
@@ -99,8 +99,8 @@ python -m qai_hub_models.models.yolov8_det_quantized.export
 Profile Job summary of YOLOv8-Detection-Quantized
 --------------------------------------------------
 Device: RB5 (Proxy) (12)
-Estimated Inference Time: 46.34 ms
-Estimated Peak Memory Range: 1.72-10.34 MB
+Estimated Inference Time: 46.99 ms
+Estimated Peak Memory Range: 2.71-17.99 MB
 Compute Units: NPU (274),GPU (2),CPU (1) | Total (277)