What is the highest accuracy for classifying cats and dogs from CIFAR-10?
Google's AutoML for large scale image classification has come up with    NASnet which now by far produces the best results(96.2% accuracy    on the top5) on ImageNet image classification (Nasnet implementation).

Imagenet has both cats and dogs as pre-trained classes but they are further divided into many sub categories of cats and dogs.