A normal human brain has thirteen thousand times as many synapses as AMD's Epyc has transistors, each capable of far more complex behavior than a single transistor. It's going to be a while.

I was thinking of Hans Moravec's calculations based on being able to perform the same function such as visual recognition at the same rate and resolution as the brain. He figured about 100 terraflops. https://jetpress.org/volume1/moravec.htm

Which you can now kind of get in a $7k Nvidia GPU (the Tesla v100). Not saying that has all you need for AGI but the hardware is getting there.

The brain doesn’t even do visual recognition though. It does vision-directed action.

I was a bit unclear - I was thinking of the bit in his essay discussing the image processing done by the retina.

What clock speed do the human synapses run at though?

Humans don't have a central clock therefore this is a meaningless question. Even if your neurons only fire 100 times per second they can be interleaved. Therefore two neurons firing at that speed could be offset by half a clock cycle and therefore the global clock rate is 200Hz. As you add more neurons the global clock rate rises. Therefore the clockrate is anywhere between 100Hz to 10THz depending on how you count it.