[Perf] Windows/x64: 1 Regression on 6/29/2026 9:05:19 AM +00:00

### Run Information

Name | Value
-- | --
Architecture | x64
OS | Windows 10.0.22631
Queue | ViperWindows
Baseline | [b97dd2f4b6aec05e98c71ec9830fa19de920af8b](https://github.com/dotnet/sdk/commit/b97dd2f4b6aec05e98c71ec9830fa19de920af8b)
Compare | [7c528f6e19c5245206de3dc561eb8a110bf9f746](https://github.com/dotnet/sdk/commit/7c528f6e19c5245206de3dc561eb8a110bf9f746)
Diff | [Diff](https://github.com/dotnet/sdk/compare/b97dd2f4b6aec05e98c71ec9830fa19de920af8b...7c528f6e19c5245206de3dc561eb8a110bf9f746)
Configs | CompilationMode:tiered, RunKind:akadeindexedset

### Regressions in Akade.IndexedSet.Benchmarks.ConcurrentSetBenchmarks

Benchmark | Baseline | Test | Test/Base | Test Quality | Edge Detector | Baseline IR | Compare IR | IR Ratio
-- | -- | -- | -- | -- | -- | -- | -- | --
|

• [ConcurrentFullTextLookup - Duration of single invocation]()
• 📝 - [Benchmark Source]()
• [ADX - Test Multi Config Graph]()

![graph]()
[Test Report]()

### Repro
General Docs link: https://github.com/dotnet/performance/blob/main/docs/benchmarking-workflow-dotnet-runtime.md

```cmd
git clone https://github.com/dotnet/performance.git
py .\performance\scripts\benchmarks_ci.py -f net8.0 --filter 'Akade.IndexedSet.Benchmarks.ConcurrentSetBenchmarks*'
```

### Akade.IndexedSet.Benchmarks.ConcurrentSetBenchmarks.ConcurrentFullTextLookup

#### ETL Files

#### Histogram

#### JIT Disasms

### Docs

[Profiling workflow for dotnet/runtime repository](https://github.com/dotnet/performance/blob/master/docs/profiling-workflow-dotnet-runtime.md)
[Benchmarking workflow for dotnet/runtime repository](https://github.com/dotnet/performance/blob/master/docs/benchmarking-workflow-dotnet-runtime.md)

Start with src/benchmarks/real-world/Akade.IndexedSet.Benchmarks/ConcurrentSetBenchmarks.cs at the ConcurrentFullTextLookup benchmark, then run the provided benchmarks_ci.py command. Compare the baseline and test commits and inspect the linked test report and graph. Done means the 12% regression is reproduced, its cause is identified, and the result is fixed or clearly triaged.

Written by the indexing model from the issue text.