[Perf] Windows/x86: 1 Regression on 8/5/2026 1:23:13 AM +00:00

### Run Information

Name | Value
-- | --
Architecture | x86
OS | Windows 10.0.22631
Queue | ViperWindows
Baseline | [ac85c6849c56dcb47e036b2a729c1e99dc413bab](https://github.com/dotnet/runtime/commit/ac85c6849c56dcb47e036b2a729c1e99dc413bab)
Compare | [c8f97975ab0d8ff84aebf176829e17f7c7052f03](https://github.com/dotnet/runtime/commit/c8f97975ab0d8ff84aebf176829e17f7c7052f03)
Diff | [Diff](https://github.com/dotnet/runtime/compare/ac85c6849c56dcb47e036b2a729c1e99dc413bab...c8f97975ab0d8ff84aebf176829e17f7c7052f03)
Configs | CompilationMode:tiered, RunKind:micro

### Regressions in System.Collections.IterateForEachNonGeneric<Int32>

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

• [ArrayList - 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 'System.Collections.IterateForEachNonGeneric*'
```

### System.Collections.IterateForEachNonGeneric<Int32>.ArrayList(Size: 512)

#### 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 the linked benchmark source, the baseline and comparison commits, and the provided benchmarks_ci.py command for System.Collections.IterateForEachNonGeneric. Run the benchmark and review the linked test report and regression data to compare the two results. Done means the regression is explained and either corrected or clearly triaged.

Written by the indexing model from the issue text.