[Perf] Linux/x64: 1 Improvement on 6/27/2026 8:53:28 AM +00:00

### Run Information

Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | ViperUbuntu
Baseline | [fb43ff15847a6821ac4f3cb5b2581076124a06df](https://github.com/dotnet/sdk/commit/fb43ff15847a6821ac4f3cb5b2581076124a06df)
Compare | [e8cf72e05e4866224daa6b959d1f44a810dc0606](https://github.com/dotnet/sdk/commit/e8cf72e05e4866224daa6b959d1f44a810dc0606)
Diff | [Diff](https://github.com/dotnet/sdk/compare/fb43ff15847a6821ac4f3cb5b2581076124a06df...e8cf72e05e4866224daa6b959d1f44a810dc0606)
Configs | CompilationMode:tiered, RunKind:imagesharp

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

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

• [TgaImageSharp - 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.DecodeTga*'
```

### SixLabors.ImageSharp.Benchmarks.Codecs.DecodeTga.TgaImageSharp(TestImage: "Tga/targa_24bit.tga")

#### 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 src/benchmarks/real-world/ImageSharp/Codecs/DecodeTga.cs and the benchmarking workflow linked in the issue, then run the provided benchmarks_ci.py command for the DecodeTga filter. Compare the reported baseline and test results; the issue does not define a code change or acceptance condition, so completion would require triage to establish whether follow-up is needed.

Written by the indexing model from the issue text.