There are a lot of tasks related to computer vision, such as object detection, semantic segmentation, image classification, etc. Each task has a set of datasets used to evaluate the accuracy of a model. Therefore, different models can achieve state-of-art performance on a different dataset. For instance, the best model for real-time object detection on the COCO dataset is YOLOR. In short, there is no one the best model for computer vision, but there are best models for certain CV tasks.