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README.md

@@ -34,8 +34,8 @@ 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 | 135.457 ms | 1 - 4 MB | FP16 | NPU |  [DETR-ResNet50-DC5.tflite](https://huggingface.co/qualcomm/DETR-ResNet50-DC5/blob/main/DETR-ResNet50-DC5.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 121.332 ms | 0 - 53 MB | FP16 | NPU |  [DETR-ResNet50-DC5.so](https://huggingface.co/qualcomm/DETR-ResNet50-DC5/blob/main/DETR-ResNet50-DC5.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 134.142 ms | 1 - 4 MB | FP16 | NPU |  [DETR-ResNet50-DC5.tflite](https://huggingface.co/qualcomm/DETR-ResNet50-DC5/blob/main/DETR-ResNet50-DC5.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 132.937 ms | 0 - 52 MB | FP16 | NPU |  [DETR-ResNet50-DC5.so](https://huggingface.co/qualcomm/DETR-ResNet50-DC5/blob/main/DETR-ResNet50-DC5.so) 
 
 
 ## Installation
@@ -97,7 +97,7 @@ python -m qai_hub_models.models.detr_resnet50_dc5.export
 Profile Job summary of DETR-ResNet50-DC5
 --------------------------------------------------
 Device: Snapdragon X Elite CRD (11)
-Estimated Inference Time: 165.86 ms
+Estimated Inference Time: 165.65 ms
 Estimated Peak Memory Range: 2.64-2.64 MB
 Compute Units: NPU (863) | Total (863)