Overfitting, as well as the specific instances I've seen of the word benchmaxxing, involve knowing the answers and training to those answers. That did not happen here. The model is limited in scope, which means it's not being scored on generic intelligence, but neither is it defective and terrible at solving new problems inside its scope, like you get with overfitting.