AI & Agents
HIPPO/EVAL
Last updated 2026-09-04 · benchmark measured 2026-09-04 — deterministic & reproducible
HIPPO/EVAL is an SVG generation benchmark for local open-source language models.
65/100
Top 85% of 11,113 measured · #22 of 30 in ai model benchmark leaderboard
Legit Benchmark — the simple average of 7 measured frames. Frames we could not measure are left out of the average, never counted as zero. Every frame is shown below with its evidence.
Checked 2026-09-04 · scores move as sites change
Is HIPPO/EVAL production-ready?
Legit.Show scores HIPPO/EVAL 65 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on HIPPO/EVAL (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Performance; its weakest is Privacy. Every frame it averages is published with its evidence on the Legit.Show listing.
The 7 Frames
- Performance — 99/100
- Accessibility — 96/100
- Security — 25/100
- Privacy — 25/100
- Reliability — 92/100
- Standards — 85/100
- Discoverability — 35/100
What we measured
- No Content-Security-Policy and no HSTS.
- Served over HTTPS with a valid certificate.
- Real Lighthouse performance run — 260 ms to first byte.
- Returns a proper 404 for unknown routes.
- 0 of 0 sampled routes reachable.
- No privacy policy found.
- Sets cookies / loads scripts with no consent prompt.
Who it's for
AI researchers · Model developers · Open source AI communities · Benchmark evaluators
Visit HIPPO/EVAL → · Alternatives to HIPPO/EVAL → · How this was measured →