6 comments

  • bozdemir 52 minutes ago
    Model list is a bit limited, and whole harness affects the speed, so the libs used in harness and their versions might be useful to show for each individual model setup.
    • albinstman 24 minutes ago
      I’ll look into adding harnesses. The benchmark sources usually don’t contain harness so the problem is limited data. What models would you like to see?
      • cyanydeez 9 minutes ago
        He's exagerating, I hope. The only bottleneck a harness attachs is pre-context fill and whatever tooling is installed. A proper harness reduces these to negligable startup costs.

        Unless of course he's driving some weird lambo that dumps 200k of context into their chats. Who knows, I feel like we're on a yellow submarine.

  • hbogert 44 minutes ago
    Shame they are not including old crap like my RX580 which is doing some impressive stuff with Qwen 9B Models.
  • pil0u 51 minutes ago
    I don't know what basis these numbers are estimated on, but my M2 Ultra 128GB runs almost twice as fast as what's reported for the M3 Ultra 512GB.

    I wished there was such a tool before picking my hardware, it's useful. But the estimates needs to be somewhat correct.

    • albinstman 29 minutes ago
      Thank you for the feedback. What model/quant did you test so I can look in it?
  • friendly_chap 13 minutes ago
    This is a great idea but I'm far less concerned about output token speed and way more about the ability to parallelize prefill - for agentic coding that's pretty much way more important than output speed.
  • etiennelescot 25 minutes ago
    [dead]
  • PIYUSHMSONI98 1 hour ago
    [dead]