CaReCoS - ICBHI: leaderboard

CaReCoS (Centific, 2026) questions on ICBHI 2017 respiratory-cycle recordings, such as crackles, wheezes, chest location and diagnosis, answered from a mel-spectrogram image. An LLM judge scores each answer against the reference; the score is accuracy in percent, higher is better.

Metric: Accuracy (%) of one-to-two-sentence answers to clinically grounded questions about a mel-spectrogram image of the recording, judged by an LLM against the reference (strict factual matching for explicit questions, relaxed semantic matching for inferred ones); the 672 ICBHI 2017 respiratory-sound questions; higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 9 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.151.2#229
2Gemini 2.5 Pro39.3#266
3Gemini 2.5 Flash32#453
4Qwen2.5-Omni-7B20.8#1789

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=carecos-icbhi · How It Works · Data refreshed daily, snapshot 2026-11-13.