[Perf] Windows/x64: 1 Regression on 6/23/2026 11:09:33 AM +00:00

### Run Information

Name | Value
-- | --
Architecture | x64
OS | Windows 10.0.22631
Queue | ViperWindows
Baseline | [ae899ea0758628a22feb37a1401ae397cc5fc8d1](https://github.com/dotnet/sdk/commit/ae899ea0758628a22feb37a1401ae397cc5fc8d1)
Compare | [4f6d02131fae05b5de421f33e38dc73906ef5aca](https://github.com/dotnet/sdk/commit/4f6d02131fae05b5de421f33e38dc73906ef5aca)
Diff | [Diff](https://github.com/dotnet/sdk/compare/ae899ea0758628a22feb37a1401ae397cc5fc8d1...4f6d02131fae05b5de421f33e38dc73906ef5aca)
Configs | CompilationMode:tiered, RunKind:mlnet

### Regressions in Microsoft.ML.Benchmarks.HashBench

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

• [HashVectorKey - 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 'Microsoft.ML.Benchmarks.HashBench*'
```

### Microsoft.ML.Benchmarks.HashBench.HashVectorKey

#### 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/Microsoft.ML.Benchmarks/HashBench.cs at lines 186-187 and reproduce using the provided benchmarks_ci.py command. Compare the listed baseline and test commits on Windows x64, then investigate the HashVectorKey duration regression. Done means identifying and addressing the cause so the benchmark no longer shows the reported slowdown.

Written by the indexing model from the issue text.