Upload README.md with huggingface_hub

README.md

@@ -33,7 +33,7 @@ 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 | 10.665 ms | 4 - 7 MB | FP16 | NPU |  [YOLOv8-Segmentation.tflite](https://huggingface.co/qualcomm/YOLOv8-Segmentation/blob/main/YOLOv8-Segmentation.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 7.056 ms | 4 - 14 MB | FP16 | NPU |  [YOLOv8-Segmentation.tflite](https://huggingface.co/qualcomm/YOLOv8-Segmentation/blob/main/YOLOv8-Segmentation.tflite) 
 
 
 ## Installation
@@ -95,8 +95,8 @@ python -m qai_hub_models.models.yolov8_seg.export
 Profile Job summary of YOLOv8-Segmentation
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 7.42 ms
-Estimated Peak Memory Range: 0.05-87.37 MB
+Estimated Inference Time: 5.15 ms
+Estimated Peak Memory Range: 0.02-93.93 MB
 Compute Units: NPU (337) | Total (337)