Not necessarily. They are just data formats that encode the different weights and layers of the neurel net. (That is an oversimplification, but enough to give y

Not necessarily. They are just data formats that encode the different weights and layers of the neurel net. (That is an oversimplification, but enough to give you a basic grasp of what is happening under the covers.) Apple is obviously investing a lot into CoreML, so expect some speed ups just due to effort but I would not expect factors of magnituite difference in performance. (This might be wrong as Tensorflow Lite is still quite immature, but as it matures I believe it will be comparable in performance.)