[Perf] Linux/x64: 1 Improvement on 6/16/2026 2:04:12 PM +00:00

### Run Information

Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | ViperUbuntu
Baseline | [3d40d73dd958fb9748f8f343c8081f47c2d7191f](https://github.com/dotnet/runtime/commit/3d40d73dd958fb9748f8f343c8081f47c2d7191f)
Compare | [581acb2f5497286af1c2554d68c04312591160ab](https://github.com/dotnet/runtime/commit/581acb2f5497286af1c2554d68c04312591160ab)
Diff | [Diff](https://github.com/dotnet/runtime/compare/3d40d73dd958fb9748f8f343c8081f47c2d7191f...581acb2f5497286af1c2554d68c04312591160ab)
Configs | AOT:true, CompilationMode:wasm, RunKind:micro

### Improvements in System.Numerics.Tests.Perf_Vector4

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

• [DistanceSquaredJitOptimizeCanaryBenchmark - 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.Numerics.Tests.Perf_Vector4*'
```

### System.Numerics.Tests.Perf_Vector4.DistanceSquaredJitOptimizeCanaryBenchmark

#### 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, src/benchmarks/micro/libraries/System.Numerics.Vectors/Perf_Vector4.cs, and run the benchmarks_ci.py command with the System.Numerics.Tests.Perf_Vector4 filter. Compare the baseline and test reports and the linked IR data for DistanceSquaredJitOptimizeCanaryBenchmark. Done requires identifying the cause of the reported improvement and documenting or addressing it, but the issue does not specify the expected change.

Written by the indexing model from the issue text.