[Perf] Windows/x64: 2 Improvements on 6/25/2026 10:53:31 AM +00:00

### Run Information

Name | Value
-- | --
Architecture | x64
OS | Windows 10.0.22631
Queue | ViperWindows
Baseline | [93304cdf8a80ce5f1ce0b3201820ab374bab019c](https://github.com/dotnet/sdk/commit/93304cdf8a80ce5f1ce0b3201820ab374bab019c)
Compare | [1d4910780fe728cf5affade170fe51fc8f96f9fb](https://github.com/dotnet/sdk/commit/1d4910780fe728cf5affade170fe51fc8f96f9fb)
Diff | [Diff](https://github.com/dotnet/sdk/compare/93304cdf8a80ce5f1ce0b3201820ab374bab019c...1d4910780fe728cf5affade170fe51fc8f96f9fb)
Configs | CompilationMode:tiered, RunKind:imagesharp

### Improvements in SixLabors.ImageSharp.Benchmarks.Codecs.Jpeg.DecodeJpeg

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

• [JpegProgressiveNonInterleaved420 - Duration of single invocation]()
• 📝 - [Benchmark Source]()
• [ADX - Test Multi Config Graph]()

| 12.56 ms | 9.80 ms | 0.78 | 0.00 | True | | |
|

• [JpegBaselineInterleaved444 - Duration of single invocation]()
• 📝 - [Benchmark Source]()
• [ADX - Test Multi Config Graph]()

| 9.57 ms | 8.36 ms | 0.87 | 0.00 | True | | |

![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 'SixLabors.ImageSharp.Benchmarks.Codecs.Jpeg.DecodeJpeg*'
```

### SixLabors.ImageSharp.Benchmarks.Codecs.Jpeg.DecodeJpeg.JpegProgressiveNonInterleaved420

#### ETL Files

#### Histogram

#### JIT Disasms

### SixLabors.ImageSharp.Benchmarks.Codecs.Jpeg.DecodeJpeg.JpegBaselineInterleaved444

#### 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 DecodeJpeg benchmark source at src/benchmarks/real-world/ImageSharp/Codecs/Jpeg/DecodeJpeg.cs and reproduce it using the provided benchmarks_ci.py command. Compare the reported baseline and test results for the two JPEG cases, then determine whether the changes are reproducible and what follow-up is warranted.

Written by the indexing model from the issue text.