[Perf] Linux/x64: 1 Improvement on 7/1/2026 8:54:39 AM +00:00

### Run Information

Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | ViperUbuntu
Baseline | [3e328deefbd3029c2f957050c508b4faeee3d71f](https://github.com/dotnet/sdk/commit/3e328deefbd3029c2f957050c508b4faeee3d71f)
Compare | [a9679a8de87742e170318ea39f7f0e2874bcd441](https://github.com/dotnet/sdk/commit/a9679a8de87742e170318ea39f7f0e2874bcd441)
Diff | [Diff](https://github.com/dotnet/sdk/compare/3e328deefbd3029c2f957050c508b4faeee3d71f...a9679a8de87742e170318ea39f7f0e2874bcd441)
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
-- | -- | -- | -- | -- | -- | -- | -- | --
|

• [JpegBaselineInterleaved420 - 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 'SixLabors.ImageSharp.Benchmarks.Codecs.Jpeg.DecodeJpeg*'
```

### SixLabors.ImageSharp.Benchmarks.Codecs.Jpeg.DecodeJpeg.JpegBaselineInterleaved420

#### 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 at src/benchmarks/real-world/ImageSharp/Codecs/Jpeg/DecodeJpeg.cs#L57-L58 and run the documented benchmarks_ci.py command for DecodeJpeg. Compare the reported baseline and test results, then determine whether the JPEG benchmark improvement is reproducible and what follow-up the issue requires.

Written by the indexing model from the issue text.