[Perf] Linux/x64: 1 Improvement on 8/6/2026 5:12:07 PM +00:00

### Run Information

Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | ViperUbuntu
Baseline | [322f5005d6589845edf1d69d55820a7d1ab9a09c](https://github.com/dotnet/sdk/commit/322f5005d6589845edf1d69d55820a7d1ab9a09c)
Compare | [8a6d49a3ce3bd6d5fcbac911e446b9cce5767ae4](https://github.com/dotnet/sdk/commit/8a6d49a3ce3bd6d5fcbac911e446b9cce5767ae4)
Diff | [Diff](https://github.com/dotnet/sdk/compare/322f5005d6589845edf1d69d55820a7d1ab9a09c...8a6d49a3ce3bd6d5fcbac911e446b9cce5767ae4)
Configs | CompilationMode:tiered, RunKind:imagesharp

### Improvements in SixLabors.ImageSharp.Benchmarks.Codecs.DecodeGif

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

• [GifImageSharp - 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.DecodeGif*'
```

### SixLabors.ImageSharp.Benchmarks.Codecs.DecodeGif.GifImageSharp(TestImage: "Gif/rings.gif")

#### 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/DecodeGif.cs#L31-L37 and run the provided benchmarks_ci.py command using the SixLabors.ImageSharp.Benchmarks.Codecs.DecodeGif filter. Review the linked Test Report and comparison data. Done means determining whether this recorded GIF-decoding improvement needs follow-up and documenting the result.

Written by the indexing model from the issue text.