It depends. DL models have legitimately achieved superhuman accuracy on many tasks. Part of this is because deep learning is incredibly effective for a certain class of problems. But part of this is because humans are remarkably bad at some problems. Humans tend to be surprisingly bad at context-stripped tasks like "identify what object this blurry image is", and "what sequence of syllables is this short audio file?". But we have countermeasures to correct for our inaccuracy. Most importantly, we understand and use context to sanity-check the hell out of our imperfect senses, and nobody has any idea how we're going to get AI to do that.