Stop posting tok/s screenshots: 5 metrics a credible local AI benchmark needs
EAccelerate_42 · x · 2026-10-17
Arguing that local AI comparisons need more than a tok/s screenshot, EAccelerator42 lists what a useful benchmark should show: model + quantization, hardware + context length, time-to-first-token, decode speed, and the actual task completed. Fast output is nice; getting the task done is the point.
More from Infra
- Broadcom's Ultra and Jericho Are the Underrated Half of the AI Ethernet Story — BenBajarin · 2026-10-17
- Analyst rebuts 'China floods HBM by 2028' claim, citing 5-7 year DRAM gap — JOBhakdi · 2026-10-17
- Bitter lesson for local LLMs: below 100 TPS, you won't actually use it — TheZachMueller · 2026-10-17
- AI is pulling quantum timelines forward, but hardware is at the vacuum-tube stage — robleclerc · 2026-10-17
- SentryWard: 32 of 85 sampled GPU kernels harbor race and sync bugs, formal verification for AI-generated code — JiaZhihao · 2026-10-17
- llama.cpp merges IBM Granite switch support in PR #30676 — jacek2023 · 2026-10-17