I actually have experience that looping over all Erlang processes and running a GC on each of them is definitely human-clock-time orders of magnitude slower than a Go garbage collection across a similar set of data. But who cares? First of all, that was a bit of a desperation play on my part anyhow, run for diagnostic purposes in the REPL, not an operation you do all the time, and secondly, only one process at time was frozen then anyhow, so I didn't care that it took about 10 seconds. It didn't take my service down.
Which was my point in the first place, that "faster" and "slower" don't really apply here, because what they're doing is so different from each other. There's too many different possible definitions of faster. And you have to be careful to use one that matters to your code, not just an artificial benchmark that shows your preferred choice in the better light.
(For those who may be curious, the problem that led me to that play was some now long-fixed issues with large binaries.)
When people talk about Go's GC freezes, they're talking about the spinup/spindown time before the async GC kicks in. That part is incomparable to Erlang, but its a part which has gotten much faster recently, specifically through virtue of becoming smaller.
They resemble generational GC more than anything. Generational GC has some of the advantages of Erlang (though I think the traditional HotSpot generational GC will end up working better than the one Go is going with) in the minor collections, but not in the major collections.