However, despite being one of the fastest GPUs on the Geekbench 6 charts, the AMD GPU's score does not reflect its real performance and shows why it's a terrible idea to benchmark datacenter AI GPUs using consumer grade OpenCL applications (which is what Geekbench 6 is).
Don't use Geekbench 6 OpenCL as a measuring stick for enterprize-grade hardware, in other words.
First of all, no one said GB OpenCL is the perfect benchmark for testing server grade hardware.
And, obviously, the score also
won't reflect the card's real world performance, and is a terrible idea, but that was NOT the whole point of this benchmark which was done by an independent testing group. Nope. We all know this.
They just wanted to test the card's performance in Geekbench's OpenCL benchmark. Nobody in their sane mind would use this benchmark as a measuring stick to judge AMD MI300X accelerator's performance either. And that was also
not the motive for this test either.
No, this was just a test done to check the OpenCL score of this accelerator. That's all.
Also, comparing the MI300X with the RTX 4090 is obviously silly and unfair, and makes no sense since they both are totally different products,
differ vastly in hardware/compute specs, and target
entirely different markets as well.
FWIW, the benchmark already has few Nvidia Quadro and other server cards in the ranked listing. This isn't the first time a server-level GPU has been spotted though.
19% faster than RTX 4090, and only twelve times as expensive
Funny how you use the word "only" as if the MI300X is some cheap and an affordable consumer product. We are talking about 10-15K USD ballpark here. Poor choice of words for the article heading, btw.
And as I mentioned before, comparing the MI300X with the RTX 4090 is just downright silly.