dotnet / dotnet/perf-autofiling-issues

[Perf] Windows/x64: 1 Improvement on 9/1/2026 4:58:26 PM +00:00

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

### Run Information

Name | Value
-- | --
Architecture | x64
OS | Windows 10.0.22631
Queue | ViperWindows
Baseline | [a1d60271d589de52ba513a8265a9038da9eaba5c](https://github.com/dotnet/sdk/commit/a1d60271d589de52ba513a8265a9038da9eaba5c)
Compare | [f8a811758057986566da27d06d8f03a7e5e226bf](https://github.com/dotnet/sdk/commit/f8a811758057986566da27d06d8f03a7e5e226bf)
Diff | [Diff](https://github.com/dotnet/sdk/compare/a1d60271d589de52ba513a8265a9038da9eaba5c...f8a811758057986566da27d06d8f03a7e5e226bf)
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
-- | -- | -- | -- | -- | -- | -- | -- | --
|

  • [JpegBaselineInterleaved444 - Duration of single invocation]()
  • 📝 - [Benchmark Source]()
  • [ADX - Test Multi Config Graph]()
| 14.21 ms | 8.28 ms | 0.58 | 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
py .\performance\scripts\benchmarks_ci.py -f net8.0 --filter 'SixLabors.ImageSharp.Benchmarks.Codecs.Jpeg.DecodeJpeg*'
```

### 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)

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 lines, then run the supplied benchmarks_ci.py command with the DecodeJpeg filter. Compare the reported baseline and test results and use the linked test report or profiling workflow to investigate; done means the improvement is understood and validated by the benchmark.

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
Active
Clarity
Needs clarification
Newbie friendliness
35/100

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