[talldayo]

From Geekbench: https://browser.geekbench.com/opencl-benchmarks

Apple M3: 29685

RTX 4090: 320220

When you line it up like that it's kinda surprising the 4090 is just $1800. They could sell it for $5,000 a pop and it would still be better value than the highest end Apple Silicon.

[haswell]

Comparing these directly like this is problematic.

The 4090 is highly specialized and not usable for general purpose computing.

Whether or not it's a better value than Apple Silicon will highly depend on what you intend to do with it. Especially if your goal is to have a device you can put in your backpack.

[talldayo]

I'm not the one making the comparison, I'm just providing the compute numbers to the people who did. Decide for yourself what that means, the only conclusion I made on was compute-per-dollar.

[nicce]

A bit off-topic since not applicable for iPad:

Adding also M3 MAX: 86072

I wonder the results if the test would be done on Asahi Linux some day. Apple implementation is fairly unoptimized AFAK.

[trvz]

That's for OpenCL, Apple gets higher scores through Metal.

[talldayo]

And Nvidia annihilates those scores with CUBlas. I'm going to play nice and post the OpenCL scores since both sides get a fair opportunity to optimize for it.

[trvz]

Actually, I'd like to see Nvidia's highest Geekbench scores. Feel free to link them.

It's stupid to look at OpenCL when that's not what's used in real use.

[pulse7]

This is true, but... RTX 4090 has only 24GB RAM and M3 can run with 192GB RAM... A game changer for largest/best models...

[talldayo]

CUDA features unified memory that is only limited by the bandwidth of your PCIe connector: https://developer.nvidia.com/blog/unified-memory-cuda-beginn...

People have been tiling 24gb+ models on a single (or several) 3090/4090s for a while now.

[seec]

Shhh, don't correct the believers, they might learn something.

[aurareturn]

I think it would be simpler to compare cost/transistor.