Does it? It shows the accelerated performance vs Metal performance on a generic GPU vs performance on a GPU with dedicated ML units on it. It's not a performance improvement "over Intel", it's a performance improvement "over hardware without dedicated ML acceleration in the new version". There's a similar massive performance gain with the Mac Pro example, showing that the new version being tested is able to leverage GPU power much more effectively.

Comparing the dedicated ML hardware to the generic just-decode-video-and-animate-windows-at-decent-speeds Intel Iris doesn't really prove any performance gain. There's no apples to apples comparison to be made here. If Apple and Nvidia would finally get over themselves, you might be able to make a fair comparison between the M1 and Intel + CUDA. The Intel "pro" laptop they're comparing against only comes with a 1.7GHz Intel CPU and only Intel's mediocre integrated graphics, so I don't see why you would use that version for anything professional related to ML anyway; at best you'd use it to test your pipelines.

All you can conclude from this is that the new M1 chips perform better at TensorFlow than the Intel chips + GPUs in the previous models of Macbook after Apple made a Mac-optimised version that better leverages GPU power.