[Perf] Windows/x64: 1 Improvement on 7/19/2026 9:49:55 PM +00:00

### Run Information

Name | Value
-- | --
Architecture | x64
OS | Windows 10.0.22631
Queue | ViperWindows
Baseline | [2515f972d25ec6ab5868f696273bd02a6275e273](https://github.com/dotnet/runtime/commit/2515f972d25ec6ab5868f696273bd02a6275e273)
Compare | [563abf220847ed66cab58f0d7d166cb264874f40](https://github.com/dotnet/runtime/commit/563abf220847ed66cab58f0d7d166cb264874f40)
Diff | [Diff](https://github.com/dotnet/runtime/compare/2515f972d25ec6ab5868f696273bd02a6275e273...563abf220847ed66cab58f0d7d166cb264874f40)
Configs | CompilationMode:tiered, RunKind:micro

### Improvements in System.Memory.Span<Byte>

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

• [Clear - 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
py .\performance\scripts\benchmarks_ci.py -f net8.0 --filter 'System.Memory.Span*'
```

### System.Memory.Span<Byte>.Clear(Size: 512)

#### 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.Memory/Span.cs at lines 41-42 and reproduce the System.Memory.Span.Clear(Size: 512) benchmark using the provided benchmarks_ci.py command. Compare the reported Windows/x64 improvement with the linked baseline and test commits and use the profiling or benchmarking workflow docs. Done means the improvement is confirmed and characterized.

Written by the indexing model from the issue text.