Thread

Apple M6 Pro achieves the highest single-core CPU score in Geekbench 7

118 points · 145 comments · gainsurier

GeekyBear · 1789810607 · focus · HN ↗
There are also leaks for the M5 Ultra & Base M6.
M5 Ultra CPU:
<a href="https://browser.geekbench.com/search?k=parkdale_cpu&q=mac17%2C15" rel="nofollow">https://browser.geekbench.com/search?k=parkdale_cpu&q=mac17%...
M5 Ultra GPU:
<a href="https://browser.geekbench.com/search?k=grand_gpu&q=mac17%2C15" rel="nofollow">https://browser.geekbench.com/search?k=grand_gpu&q=mac17%2C1...
Base M6 CPU:
<a href="https://browser.geekbench.com/search?k=parkdale_cpu&q=mac18%2C5" rel="nofollow">https://browser.geekbench.com/search?k=parkdale_cpu&q=mac18%...
Base M6 GPU:
<a href="https://browser.geekbench.com/search?k=grand_gpu&q=mac18%2C5" rel="nofollow">https://browser.geekbench.com/search?k=grand_gpu&q=mac18%2C5
The Base M6 CPU single core is averaging a bit over 4000 on Geekbench 7.
For comparison, the AMD Ryzen 9 9950X3D2 averages 3161 on the same test.
<a href="https://browser.geekbench.com/processors/amd-ryzen-9-9950x3d2" rel="nofollow">https://browser.geekbench.com/processors/amd-ryzen-9-9950x3d...
The Intel Core Ultra 7 270K Plus averages 2940 on the same test.
<a href="https://browser.geekbench.com/processors/intel-core-ultra-7-270k-plus" rel="nofollow">https://browser.geekbench.com/processors/intel-core-ultra-7-...
1. revolvingthrow · 1789816318 · focus · HN ↗
  I don’t understand those benchmarks.
  According to geekbench 7800x3d is 2400 single core, 15500 multicore. M4 pro is 3350 single core and 24750 multicore. Yet when I convert video using libsvtav1 with ffmpeg I’m getting noticeably faster performance on the desktop. And that’s with mbp, which doesn’t thermally throttle within 15 seconds.
  Is it the 96mb cache? Avx-512? Are benchmarks bullshit when comparing different architectures?
  1. snek_case · 1789817433 · focus · HN ↗
    Probably AVX-512. AFAIK Apple CPUs are still using ARM NEON instructions with 128-wide SIMD registers. I guess they are banking on you using the GPU if you want to parallelize those kinds of workload.

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