After merging your PR, Conbench analyzed the 4 benchmarking runs that have been run so far on merge-commit 0f6dd60.

Benchmarks with performance regressions

There were 0 possible performance regressions, according to the lookback z-score method.

All benchmark runs analyzed:

• Commit Run on amd64-c6a-4xlarge-linux at 2026-07-02 11:31:19Z
• Commit Run on test-mac-arm at 2026-07-02 23:21:16Z
• Commit Run on amd64-m5-4xlarge-linux at 2026-07-02 12:29:09Z
• Commit Run on arm64-t4g-2xlarge-linux at 2026-07-02 12:29:44Z

Unstable benchmarks with performance regressions

The following benchmark results indicate a possible performance regression, but are known to sometimes produce false positives when applying the lookback z-score analysis.

• Commit Run on amd64-c6a-4xlarge-linux at 2026-07-02 11:31:19Z
  • TableToTensorSimple (C++) with params=<Int8Type, true>/size:524288/num_columns:30, source=cpp-micro, suite=arrow-tensor-benchmark
  • ArrayArrayKernel (C++) with params=<Divide, UInt8Type>/size:524288/inverse_null_proportion:100, source=cpp-micro, suite=arrow-compute-scalar-arithmetic-benchmark
  • TableToTensorSimple (C++) with params=<Int8Type, false>/size:524288/num_columns:3, source=cpp-micro, suite=arrow-tensor-benchmark
  • TableToTensorSimple (C++) with params=<Int16Type, false>/size:524288/num_columns:3, source=cpp-micro, suite=arrow-tensor-benchmark
  • BenchmarkTemporalRounding (C++) with params=<CeilTemporal, non_zoned, round_10_week>/524288/100, source=cpp-micro, suite=arrow-compute-scalar-temporal-benchmark
  • TableToTensorSimple (C++) with params=<Int16Type, false>/size:32768/num_columns:30, source=cpp-micro, suite=arrow-tensor-benchmark
  • TableToTensorSimple (C++) with params=<Int32Type, false>/size:524288/num_columns:3, source=cpp-micro, suite=arrow-tensor-benchmark
  • TableToTensorSimple (C++) with params=<Int64Type, false>/size:524288/num_columns:30, source=cpp-micro, suite=arrow-tensor-benchmark