dotnet / dotnet/perf-autofiling-issues

[Perf] Linux/x64: 1 Improvement on 7/21/2026 2:43:33 PM +00:00

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arch-x64 branch-11.0 compilationmode-tiered kind-imagesharp Look Again 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 | [d2b524965e50619e8db62ed35943981830e1008d](https://github.com/dotnet/sdk/commit/d2b524965e50619e8db62ed35943981830e1008d)
Diff | [Diff](https://github.com/dotnet/sdk/compare/7e07d48faae88ae9068a6afc91e7524b2112c0e7...d2b524965e50619e8db62ed35943981830e1008d)
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 the linked benchmark source at src/benchmarks/real-world/ImageSharp/Codecs/Jpeg/DecodeJpeg.cs and read the benchmarking workflow documentation. Run the provided benchmarks_ci.py command, then inspect the linked test report and baseline/compare data to determine whether the measured improvement reflects a change that needs follow-up.

Written by the indexing model from the issue text.

Assessment

Tech stack
csharp, python, ubuntu
Domain
performance, testing
Issue type
Bug
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
25/100

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