language benchmark
CoVoST2 en-zh
CoVoST 2 English-to-Chinese subset is part of the large-scale multilingual speech translation corpus derived from Common Voice. This subset focuses specifically on English to Chinese speech translation tasks within the broader CoVoST 2 dataset.
Updated Aug 11, 2026
Models1
Model coverage1
MetricScore
EvidenceB
CoVoST2 en-zh Ranking
Higher score ranks better on this benchmark.
| 01 | AC | 0.414 points | 100.0% | 1 | C |
CoVoST2 en-zh Highlights
The leading models and scores on this benchmark.
What is CoVoST2 en-zh?
What CoVoST2 en-zh measures and how its scores work.
CoVoST 2 English-to-Chinese subset is part of the large-scale multilingual speech translation corpus derived from Common Voice. This subset focuses specifically on English to Chinese speech translation tasks within the broader CoVoST 2 dataset.
Scores are shown in points. This benchmark is not independently verified and has an evidence level of B.
- Family
- CoVoST2 en-zh
- Modality
- audio
- Primary category
- language
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- covost2-en-zh|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about CoVoST2 en-zh.
Which model scores highest on CoVoST2 en-zh?
Qwen2.5-Omni-7B is currently ranked first with 0.414 points.
What does CoVoST2 en-zh measure?
CoVoST 2 English-to-Chinese subset is part of the large-scale multilingual speech translation corpus derived from Common Voice. This subset focuses specifically on English to Chinese speech translation tasks within the broader CoVoST 2 dataset.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
1 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.