🤖 Update Benchmark Results

[thomhurst]

Automated Benchmark Update

This PR updates the benchmark documentation with the latest results from the Speed Comparison workflow.

Benchmarks Produced

Individual benchmark artifacts are available for download:

• benchmark-DataDrivenTests
• benchmark-AsyncTests
• benchmark-ScaleTests
• benchmark-MatrixTests
• benchmark-MassiveParallelTests
• benchmark-SetupTeardownTests
• benchmark-BuildTime
• benchmark-summary (aggregated overview)

Runtime Benchmarks

• AsyncTests
• DataDrivenTests
• MassiveParallelTests
• MatrixTests
• ScaleTests
• SetupTeardownTests

Build Benchmarks

• BuildTime
• 2026-03-24
• Ubuntu Latest • .NET SDK 10.0.201

Changes

• Updated benchmark data in docs/static/benchmarks/latest.json
• Updated historical trends in docs/static/benchmarks/historical.json
• Regenerated benchmark documentation in docs/docs/benchmarks/index.md
• Updated benchmark summary in docs/static/benchmarks/summary.json

Workflow Run

• Run ID: 23467017979
• Triggered: schedule
• Date:

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🤖 This PR was automatically created and will be merged automatically once CI checks pass.

[claude]

Benchmark Update Review

This is a routine automated benchmark update from 2026-03-24, bumping TUnit from v1.21.0 to v1.21.6. The changes are purely documentation/data — no source code is affected.

Performance Highlights (v1.21.0 → v1.21.6)

Wins:

• MassiveParallelTests: TUnit improved from 658.0ms → 625.3ms (~5% faster); AOT: 228.9ms → 227.0ms
• BuildTime: TUnit improved from 2.621s → 2.580s (~1.6% faster)
• ScaleTests: TUnit improved from 610.8ms → 600.2ms (~1.7% faster)

Regressions to note:

• SetupTeardownTests: TUnit regressed from 489.33ms → 510.39ms (~4.3% slower). Competitors also slowed, but TUnit dropped from faster than MSTest to slower than it — worth keeping an eye on across future runs.
• AsyncTests: Marginal regression (537.6ms → 538.8ms, within noise), but competitors improved significantly, so TUnit's relative advantage narrowed.
• DataDrivenTests: Effectively flat (472.94ms → 474.05ms), within normal run-to-run variance.

Data Integrity

• JSON data files, Markdown docs, and chart axis scales all appear consistently updated.
• The historical.json and summary.json updates look correct.
• No structural changes to the benchmark format; this is a clean data-only update.

No Issues Found

The PR is well-structured as an automated update and the data appears consistent across all files. The SetupTeardownTests regression is worth a follow-up investigation but is not a blocker for merging documentation updates.