[Perf] Linux/x64: 1 Improvement on 8/21/2026 7:14:37 AM +00:00

### Run Information

Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | ViperUbuntu
Baseline | [be1c680101458a735200e68a74460919be249315](https://github.com/dotnet/runtime/commit/be1c680101458a735200e68a74460919be249315)
Compare | [129ada6e62fb997068c4151f69ecb3e39fb6f4be](https://github.com/dotnet/runtime/commit/129ada6e62fb997068c4151f69ecb3e39fb6f4be)
Diff | [Diff](https://github.com/dotnet/runtime/compare/be1c680101458a735200e68a74460919be249315...129ada6e62fb997068c4151f69ecb3e39fb6f4be)
Configs | AOT:true, CompilationMode:wasm, RunKind:micro

### Improvements in System.ComponentModel.Tests.Perf_TypeDescriptorTests

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

• [GetConverter - 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.ComponentModel.Tests.Perf_TypeDescriptorTests*'
```

### System.ComponentModel.Tests.Perf_TypeDescriptorTests.GetConverter(typeToConvert: typeof(System.ComponentModel.Tests.DerivedClass))

#### 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 src/benchmarks/micro/libraries/System.ComponentModel.TypeConverter/Perf.TypeDescriptorTests.cs, focusing on Perf_TypeDescriptorTests.GetConverter. Run the provided benchmarks_ci.py command with the filter, then compare the reported results and profiling data. Done would require determining an actionable cause or fix for the measured behavior and verifying it with a rerun.

Written by the indexing model from the issue text.