With advancements in saved/pretrained models I think answer is or will be a raspberry pi. I think a more interesting question is “what is the smallest computer that can learn chess”
It would be interesting to try to do it with the minimum possible power consumption. Would a small power-optimized ARM microcontroller such as an STM32L4 with some bulk storage be sufficient, for example? Could a device pulling < 100 mW beat a human grand master? 10 mW?
The one that beat Kasparov in 1997 could evaluate 200 million positions per second which is quite a lot. On the other hand beating me could probably be done with a modified pocket calculator.
There has been a lot of progress in computer chess software since 1997, the current version of Stockfish is very probably superhuman on a low-end smartphone