[Perf] Linux/x64: 1 Improvement on 8/19/2026 6:14:14 AM +00:00

### Run Information

Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | ViperUbuntu
Baseline | [1f22605f08368b251c9ff73b935a8d7c1df4d174](https://github.com/dotnet/runtime/commit/1f22605f08368b251c9ff73b935a8d7c1df4d174)
Compare | [7aac3c7ad953aaa23bad1d7867e7a0ec2c4a629c](https://github.com/dotnet/runtime/commit/7aac3c7ad953aaa23bad1d7867e7a0ec2c4a629c)
Diff | [Diff](https://github.com/dotnet/runtime/compare/1f22605f08368b251c9ff73b935a8d7c1df4d174...7aac3c7ad953aaa23bad1d7867e7a0ec2c4a629c)
Configs | AOT:true, CompilationMode:wasm, RunKind:micro

### Improvements in System.IO.Tests.BinaryReaderTests

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

• [ReadUInt32 - 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.IO.Tests.BinaryReaderTests*'
```

### System.IO.Tests.BinaryReaderTests.ReadUInt32

#### 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 System.IO.Tests.BinaryReaderTests.ReadUInt32 benchmark source linked at BinaryReaderTests.cs lines 67-68, then follow the benchmarking workflow docs and reproduce it with benchmarks_ci.py using the supplied filter. Compare the reported baseline and test results, and consider the issue done when the improvement is validated and its cause or triage outcome is recorded.

Written by the indexing model from the issue text.