[Perf] Linux/x64: 1 Regression on 6/22/2026 5:32:56 PM +00:00

### Run Information

Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | ViperUbuntu
Baseline | [b4ca93f1d026919b29a1000cf520db442cabf61b](https://github.com/dotnet/runtime/commit/b4ca93f1d026919b29a1000cf520db442cabf61b)
Compare | [2fb056790aea48d9d94e221309c506b2a2506849](https://github.com/dotnet/runtime/commit/2fb056790aea48d9d94e221309c506b2a2506849)
Diff | [Diff](https://github.com/dotnet/runtime/compare/b4ca93f1d026919b29a1000cf520db442cabf61b...2fb056790aea48d9d94e221309c506b2a2506849)
Configs | AOT:true, CompilationMode:wasm, RunKind:micro

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

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

• [Dictionary - 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
python3 .\performance\scripts\benchmarks_ci.py -f net8.0 --filter 'System.Collections.CtorGivenSize*'
```

### System.Collections.CtorGivenSize<Int32>.Dictionary(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 benchmark source at src/benchmarks/micro/libraries/System.Collections/Create/CtorGivenSize.cs and the linked regression and test reports. Run the documented benchmarks_ci.py command using the benchmarking workflow docs, then compare the reported baseline and test results. Done means the regression is understood and its cause is resolved or clearly reported.

Written by the indexing model from the issue text.