[Perf] Linux/x64: 1 Improvement on 8/4/2026 2:36:28 AM +00:00

### Run Information

Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | ViperUbuntu
Baseline | [efb85c9570c78809ef53978a7efc820614e26a73](https://github.com/dotnet/runtime/commit/efb85c9570c78809ef53978a7efc820614e26a73)
Compare | [80aa3f8c5a2d33664fbedafd2f2bb18fdeb8002f](https://github.com/dotnet/runtime/commit/80aa3f8c5a2d33664fbedafd2f2bb18fdeb8002f)
Diff | [Diff](https://github.com/dotnet/runtime/compare/efb85c9570c78809ef53978a7efc820614e26a73...80aa3f8c5a2d33664fbedafd2f2bb18fdeb8002f)
Configs | CompilationMode:tiered, RunKind:micro

### Improvements in System.Collections.ContainsFalse<Int32>

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

• [Queue - 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.ContainsFalse*'
```

### System.Collections.ContainsFalse<Int32>.Queue(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/Contains/ContainsFalse.cs#L125-L134 and the linked test report. Run the provided benchmarks_ci.py command using the benchmarking workflow documentation, then compare the baseline and test results to establish whether the ContainsFalse improvement is reproducible and actionable.

Written by the indexing model from the issue text.