[Perf] Linux/x64: 1 Improvement on 6/19/2026 6:38:08 AM +00:00

### Run Information

Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | ViperUbuntu
Baseline | [ee2a8a9df2f6fc43c85e2aec1c8cae2e22d97e12](https://github.com/dotnet/runtime/commit/ee2a8a9df2f6fc43c85e2aec1c8cae2e22d97e12)
Compare | [18696adecd2e6e6528ba3d543c97b0013b961aa6](https://github.com/dotnet/runtime/commit/18696adecd2e6e6528ba3d543c97b0013b961aa6)
Diff | [Diff](https://github.com/dotnet/runtime/compare/ee2a8a9df2f6fc43c85e2aec1c8cae2e22d97e12...18696adecd2e6e6528ba3d543c97b0013b961aa6)
Configs | AOT:true, CompilationMode:wasm, RunKind:micro

### Improvements in System.Runtime.Intrinsics.Tests.Perf_Vector128Of<UInt64>

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

• [SquareRootBenchmark - 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.Runtime.Intrinsics.Tests.Perf_Vector128Of*'
```

### System.Runtime.Intrinsics.Tests.Perf_Vector128Of<UInt64>.SquareRootBenchmark

#### 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/micro/libraries/System.Runtime.Intrinsics/Perf_Vector128OfT.cs at lines 160-161 and run the provided benchmarks_ci.py command for the Vector128Of filter. Compare the reported baseline and test results using the linked report and profiling workflow; done means determining whether the measured improvement is expected and documenting any actionable finding.

Written by the indexing model from the issue text.