VLMbench Performance B
AI benchmark · Efficiency
- Publisher
- Vlmbench Readme Leaderboard
- Domains
- Efficiency
- Tier
- B why
- Snapshot
What is VLMbench Performance?
Vision-language model throughput benchmark reporting peak tokens/sec, TTFT, TPOT, and worker count on an RTX PRO 6000 Blackwell vLLM setup.
Tier B
B
Established: 15 or more models scored, or curated RL directories rate it.
How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.
- 5 models scored
- built by Turing
- in curated RL directories (4 pts)
How we got to tier B
- Adoption: 5 models scored; built by Turing. Tier C.
- Not yet read on X.
- In curated RL directories: 4 points, a floor of B. Raised to B.
- Not yet confirmed by a line from its own site or paper.
A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.
Not on the map yet: no line from its own site or paper places it in a domain.
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-11 snapshot.