[Perf] Linux/x64: 1 Improvement on 7/20/2026 2:22:01 PM +00:00

### Run Information

Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | ViperUbuntu
Baseline | [563abf220847ed66cab58f0d7d166cb264874f40](https://github.com/dotnet/runtime/commit/563abf220847ed66cab58f0d7d166cb264874f40)
Compare | [73a9e0a51ed85481b7f03ca3f2696e020365afd6](https://github.com/dotnet/runtime/commit/73a9e0a51ed85481b7f03ca3f2696e020365afd6)
Diff | [Diff](https://github.com/dotnet/runtime/compare/563abf220847ed66cab58f0d7d166cb264874f40...73a9e0a51ed85481b7f03ca3f2696e020365afd6)
Configs | AOT:true, CompilationMode:wasm, RunKind:micro

### Improvements in System.Memory.ReadOnlySequence

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

• [Slice_Repeat - 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.Memory.ReadOnlySequence*'
```

### System.Memory.ReadOnlySequence.Slice_Repeat(Segment: Multiple)

#### 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 src/benchmarks/micro/libraries/System.Memory/ReadOnlySequence.cs and review the performance report for the Slice_Repeat benchmark. Follow the benchmarking and profiling workflow documents, then compare the listed baseline and test commits. Done means the improvement is investigated and any resulting runtime action is clearly identified.

Written by the indexing model from the issue text.