[Perf] Linux/x64: 1 Improvement on 6/18/2026 9:53:01 PM +00:00

### Run Information

Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | ViperUbuntu
Baseline | [a17debec450d73f9d84e68ca44f63b217f5db49f](https://github.com/dotnet/runtime/commit/a17debec450d73f9d84e68ca44f63b217f5db49f)
Compare | [482f9baca29117c07eb4f9ab5404990746986ce0](https://github.com/dotnet/runtime/commit/482f9baca29117c07eb4f9ab5404990746986ce0)
Diff | [Diff](https://github.com/dotnet/runtime/compare/a17debec450d73f9d84e68ca44f63b217f5db49f...482f9baca29117c07eb4f9ab5404990746986ce0)
Configs | AOT:true, CompilationMode:wasm, RunKind:micro

### Improvements in System.Runtime.Intrinsics.Tests.Perf_Vector128

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

• [ConvertUIntToFloatBenchmark - 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_Vector128*'
```

### System.Runtime.Intrinsics.Tests.Perf_Vector128.ConvertUIntToFloatBenchmark

#### 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 in dotnet/performance/src/benchmarks/micro/libraries/System.Runtime.Intrinsics/Perf_Vector128.cs at lines 48-49, then review the linked history and test report for ConvertUIntToFloatBenchmark. Reproduce it with the provided benchmarks_ci.py command. Done would require identifying a concrete issue or follow-up change behind the reported performance difference.

Written by the indexing model from the issue text.