TensorBench - Scheduler: leaderboard

Metric: Pass rate (%) on the 37 scheduler tasks (cost-model-driven optimization passes such as loop transformations); each coding agent (a published CLI scaffold with its model) edits the open-source Scorch compiler-based tensor framework inside a per-task container, one run per task; a task passes when every test of the post-patch suite (pre-existing randomized regression tests plus the tests the agent adds) succeeds; higher is better. Source: arxiv.org. Saturation forecast: Around June 2028. 7 models tracked.

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