[Perf] Linux/x64: 1 Improvement on 6/18/2026 3:29:39 AM +00:00

### Run Information

Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | ViperUbuntu
Baseline | [631b884e3bad9c76b667005ff7fb3bd39864c3b1](https://github.com/dotnet/runtime/commit/631b884e3bad9c76b667005ff7fb3bd39864c3b1)
Compare | [50bc3b3e1fe96d95e7f04bd3189d9eb2c7a40b59](https://github.com/dotnet/runtime/commit/50bc3b3e1fe96d95e7f04bd3189d9eb2c7a40b59)
Diff | [Diff](https://github.com/dotnet/runtime/compare/631b884e3bad9c76b667005ff7fb3bd39864c3b1...50bc3b3e1fe96d95e7f04bd3189d9eb2c7a40b59)
Configs | AOT:true, CompilationMode:wasm, RunKind:micro

### Improvements in System.Runtime.Intrinsics.Tests.Perf_Vector128Of<Int16>

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<Int16>.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 the linked benchmark source in performance/src/benchmarks/micro/libraries/System.Runtime.Intrinsics/Perf_Vector128OfT.cs and the benchmarking workflow documentation. Run the provided benchmarks_ci.py command, then compare the baseline and test reports for SquareRootBenchmark. Done means the reported improvement is understood and the relevant performance result is addressed.

Written by the indexing model from the issue text.