[Perf] Windows/x64: 1 Improvement on 8/24/2026 9:00:58 AM +00:00

### Run Information

Name | Value
-- | --
Architecture | x64
OS | Windows 10.0.22631
Queue | ViperWindows
Baseline | [64a29867c5c5c8e0babc9e31313cf3b6e50f0193](https://github.com/dotnet/sdk/commit/64a29867c5c5c8e0babc9e31313cf3b6e50f0193)
Compare | [c545c4e3f9e2ebc10c6b3e2626187e18569adcf2](https://github.com/dotnet/sdk/commit/c545c4e3f9e2ebc10c6b3e2626187e18569adcf2)
Diff | [Diff](https://github.com/dotnet/sdk/compare/64a29867c5c5c8e0babc9e31313cf3b6e50f0193...c545c4e3f9e2ebc10c6b3e2626187e18569adcf2)
Configs | CompilationMode:tiered, RunKind:bepuphysics

### Improvements in DemoBenchmarks.TwoBodyConstraintBenchmarks

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

• [LinearAxisServo - 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 'DemoBenchmarks.TwoBodyConstraintBenchmarks*'
```

### DemoBenchmarks.TwoBodyConstraintBenchmarks.LinearAxisServo

#### 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/bepuphysics2/TwoBodyConstraintBenchmarks.cs, especially LinearAxisServo, and run the provided benchmarks_ci.py command with the DemoBenchmarks.TwoBodyConstraintBenchmarks filter. Compare the reported result with the linked baseline and test data; done means the improvement is reproduced and its cause or required follow-up is identified.

Written by the indexing model from the issue text.