[Perf] Windows/x64: 1 Improvement on 9/8/2026 5:06:28 PM +00:00

### Run Information

Name | Value
-- | --
Architecture | x64
OS | Windows 10.0.22621
Queue | Galaxy
Baseline | [3c8aafcb84d524fa331e238350bd0ba287a78ed8](https://github.com/dotnet/sdk/commit/3c8aafcb84d524fa331e238350bd0ba287a78ed8)
Compare | [b12fcac0dd6a8b40d74536c858139acfcca60e89](https://github.com/dotnet/sdk/commit/b12fcac0dd6a8b40d74536c858139acfcca60e89)
Diff | [Diff](https://github.com/dotnet/sdk/compare/3c8aafcb84d524fa331e238350bd0ba287a78ed8...b12fcac0dd6a8b40d74536c858139acfcca60e89)
Configs | CodeGenType:R2R, CompilationMode:tiered, RunKind:maui_scenarios_android, RuntimeType:coreclr

### Improvements in Device Startup - .NET Android Default Template NoAnimation

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

• [NET Android Default Template NoAnimation - Generic Startup]()
• [ADX - Test Multi Config 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 'Device Startup - .NET Android Default Template NoAnimation*'
```

### Device Startup - .NET Android Default Template NoAnimation

#### 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)

The issue names no source file or failing test. Start with the linked Test Report and commit Diff, then run the provided benchmarks_ci.py command for the Device Startup - .NET Android Default Template NoAnimation scenario. Done means establishing whether the reported improvement is reproducible and identifying the relevant performance change or follow-up.

Written by the indexing model from the issue text.