dotnet / dotnet/perf-autofiling-issues

[Perf] Linux/x64: 1 Improvement on 7/17/2026 9:07:37 AM +00:00

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arch-x64 branch-11.0 compilationmode-tiered kind-imagesharp Noise os-linux perf-improvement runkind-imagesharp runtime-coreclr untriaged
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Description

### Run Information

Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | ViperUbuntu
Baseline | [7e07d48faae88ae9068a6afc91e7524b2112c0e7](https://github.com/dotnet/sdk/commit/7e07d48faae88ae9068a6afc91e7524b2112c0e7)
Compare | [8c1bd18b8c65722ac42857e5bb2fe68d67f9f63d](https://github.com/dotnet/sdk/commit/8c1bd18b8c65722ac42857e5bb2fe68d67f9f63d)
Diff | [Diff](https://github.com/dotnet/sdk/compare/7e07d48faae88ae9068a6afc91e7524b2112c0e7...8c1bd18b8c65722ac42857e5bb2fe68d67f9f63d)
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
-- | -- | -- | -- | -- | -- | -- | -- | --
|

  • [JpegBaseline400 - Duration of single invocation]()
  • 📝 - [Benchmark Source]()
  • [ADX - Test Multi Config Graph]()
| 1.55 ms | 1.01 ms | 0.65 | 0.00 | True | | |

![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.JpegBaseline400

#### 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)

Contributor guide

No contributing guide indexed for this repository

Research direction

Start with src/benchmarks/real-world/ImageSharp/Codecs/Jpeg/DecodeJpeg.cs at the referenced benchmark and reproduce it with the provided benchmarks_ci.py command. Compare the baseline and test reports for JpegBaseline400, then identify whether the observed improvement needs follow-up; done means the performance change is understood and documented or an actionable fix is identified.

Written by the indexing model from the issue text.

Assessment

Tech stack
csharp
Domain
performance
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
35/100

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