Using pretrained model on large datasets, e.g. imagenet, has been proven numerous times very effective in new classification tasks, often outperforming models without initialization of pretrained network.
Many things can happen in terms of training a deep network. To name a few, pseudorandom numbers, precision issues, bug fixes, different data augmentation, different data processing in test time.