July 20, 2026
Core values, comment chaos
85.3 GFlops: Optimizing FP32 Matrix Multiplication on a Single AMD Zen 3 Core
One tiny chip core did the impossible — and the comments instantly turned chaotic
TLDR: A developer squeezed stunning speed out of a single AMD chip core, making it perform on par with major optimized software after tons of careful tuning. In the comments, fans cheered the feat, skeptics compared it to vastly faster graphics cards, and others derailed into browser confusion and sci-fi hardware debates.
A lone AMD processor core just pulled off a shockingly fast math stunt, hitting 85.3 billion calculations per second in a test that’s basically the Olympics of computer number-crunching. The creator tried 28 different tuning setups and found one sweet spot that was 56 times faster than the basic version, putting this homemade effort in the same league as big-name optimized software. For performance nerds, that’s catnip. For everyone else, the simple version is: one brain cell of the chip got absurdly efficient.
But the real popcorn moment was in the comments, where the crowd immediately split into classic internet tribes. One person came in like a movie trailer narrator — “Pushing the Limits of AMD Zen 3” — fully basking in the triumph. Another instantly punctured the victory balloon with a brutal reality check: today’s top graphics cards can do way, way more, topping 100 trillion similar operations a second. Translation: impressive in its lane, but don’t start challenging GPUs to a street race just yet.
Then the thread got delightfully messy. One confused reader asked what language the article was even written in, because their browser apparently gave up and guessed wrong. Another took the conversation into full sci-fi mode, wondering whether ternary, quaternary, or even analog computers might be better at this sort of task. And amid all that, a calmer voice reminded everyone that the real story is the method: this wasn’t just flexing, it was a careful hunt for the best possible recipe on this chip. In other words, half the crowd saw a breakthrough, half saw perspective, and the rest showed up for browser bugs and futuristic brain-melting detours. Peak tech comments.
Key Points
- •The study tested 28 single-core FP32 GEMM implementations on AMD Zen 3 and found MX24 to be the best configuration at 85.30 GFLOPS.
- •The top result corresponds to 63.5% of the article’s stated 134.4 GFLOPS theoretical peak for a Ryzen 5 5500 core.
- •MX24 used 4-row register blocking, chain4 FMA scheduling, and on-the-fly B-packing with BK=256.
- •The article reports that aligned memory access improved performance by about 5%, while software prefetching reduced it by about 8%.
- •Non-temporal stores with `_mm256_stream_ps` were reported as highly detrimental, dropping performance to 1.24 GFLOPS for this workload.