SeedKernelBench
Only in system cards
Models write or optimize CUDA style kernels for operator tasks mined from FlashInfer, SGLang, FlashAttention, DeepGEMM, CUTLASS and cuDNN. Scored as average speedup over reference code.
In-house ByteDance Seed evaluation. The tasks are not public.
Made by ByteDance Seed Released Jun 2026 GPU kernels Tasks kept private Last in a system card Jun 2026
Last model added Jun 2026
- Level
- Expert Specialists with years of training, often over hours of work
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Code A program or patch run against tests.
1
System card reports it, from 1 lab
No scores here yet
No lab, leaderboard or Epoch AI run has reported a score for SeedKernelBench yet.
Labs report it only in system cards
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 23 Jun 2026 |  Seed2.1 Pro model card | 9.21 | SeedKernelBench, average speedup 9.21x (Table 5) | AI R&D risk |
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