Also, besides memory speed which certainly will be an important factor, it might depend on the model architecture, fp32/fp16 etc. Much like you cannot say CPU 1 is faster than CPU. 2 - it totally depends on the type of workload - same goes for deep learning benchmarks.
From Geekbench it also looks like the m1 gpu is about 1/4-1/3 as powerful as a 1080.
The m1 may benefit from faster ram and shared memory though.
Apple states that the neural engine is able to do about 11 trillion operations per second (but oddly enough, they don’t report tflops).