CaReCoS - ICBHI: leaderboard

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 December 2026. 9 models tracked.

Top models

#ModelScore
1GPT-5.151.2
2Gemini 2.5 Pro39.3
3Gemini 2.5 Flash32
4Qwen2.5-Omni-7B20.8

Interactive version: theaggregate.ai/benchmark?slug=carecos-icbhi · How It Works · Data refreshed daily, snapshot 2026-09-29.