Great question. I believe that someone has already performed this measurement on a variety of could APIs (Google, Amazon. MS. etc.). I remember seeing it on GitHub while ago. I can't find it right now with a simple Google search. But I will spend more time later in the evening and comment here when I have it.

The comments are absolutely correct. Could services (can) do better simply because they have access to more compute resources and also data (what is sent to them can be/is used for training later). There are situations where on-device is preferred due to privacy reasons, latency, cost, or lack of internet connection.

Commercial APIs from leading companies generally achieve better performance, but besides obvious price and network latency, they are complete black boxes so you can't diagnose and fix problems.

The cloud options almost certainly have better accuracy and use less memory but it's at the cost of latency, network dependency and usually price.