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README.md

@@ -36,7 +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 | 2.101 ms | 0 - 90 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 | 1.913 ms | 0 - 103 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 | QNN Model Library | 2.242 ms | 2 - 12 MB | INT8 | NPU | YOLOv8-Detection-Quantized 
 
 
 
@@ -98,10 +99,10 @@ python -m qai_hub_models.models.yolov8_det_quantized.export
 ```
 Profile Job summary of YOLOv8-Detection-Quantized
 --------------------------------------------------
-Device: RB5 (Proxy) (12)
-Estimated Inference Time: 47.46 ms
-Estimated Peak Memory Range: 2.76-12.01 MB
-Compute Units: NPU (277),GPU (2),CPU (1) | Total (280)
+Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 2.22 ms
+Estimated Peak Memory Range: 1.18-1.18 MB
+Compute Units: NPU (273) | Total (273)
 
 
 ```