[Perf] Linux/x64: 1 Regression on 8/1/2026 12:21:46 AM +00:00

### Run Information

Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | ViperUbuntu
Baseline | [44687f2d763be239ff562b137360ab572f47066e](https://github.com/dotnet/runtime/commit/44687f2d763be239ff562b137360ab572f47066e)
Compare | [0eb5481340ea675857c7a7abf18f68a60b52a686](https://github.com/dotnet/runtime/commit/0eb5481340ea675857c7a7abf18f68a60b52a686)
Diff | [Diff](https://github.com/dotnet/runtime/compare/44687f2d763be239ff562b137360ab572f47066e...0eb5481340ea675857c7a7abf18f68a60b52a686)
Configs | CompilationMode:wasm, RunKind:micro

### Regressions in System.Numerics.Tests.Perf_VectorOf<UInt16>

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

• [GreaterThanOrEqualAllBenchmark - 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_VectorOf*'
```

### System.Numerics.Tests.Perf_VectorOf<UInt16>.GreaterThanOrEqualAllBenchmark

#### 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 by running the documented benchmarks_ci.py command with the System.Numerics.Tests.Perf_VectorOf* filter. Compare the baseline and compare commits, inspect the benchmark source at dotnet/performance/src/benchmarks/micro/libraries/System.Numerics.Vectors/Perf_VectorOfT.cs#L125-L126, and review the linked test report and IR data. Done means the WASM benchmark regression is explained and resolved without introducing a new performance loss.

Written by the indexing model from the issue text.