dotnet / dotnet/perf-autofiling-issues

[Perf] Linux/x64: 1 Improvement on 9/5/2026 11:13:18 AM +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 | [f8a811758057986566da27d06d8f03a7e5e226bf](https://github.com/dotnet/sdk/commit/f8a811758057986566da27d06d8f03a7e5e226bf)
Compare | [c9b72963eb22ce3f8eb2ad8ebedf9ecef57615da](https://github.com/dotnet/sdk/commit/c9b72963eb22ce3f8eb2ad8ebedf9ecef57615da)
Diff | [Diff](https://github.com/dotnet/sdk/compare/f8a811758057986566da27d06d8f03a7e5e226bf...c9b72963eb22ce3f8eb2ad8ebedf9ecef57615da)
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]()
| 7.92 μs | 7.06 μs | 0.89 | 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.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)

Contributor guide

No contributing guide indexed for this repository

Research direction

Read src/benchmarks/real-world/ImageSharp/Codecs/DecodeTga.cs and the benchmarking workflow documentation, then run the provided benchmarks_ci.py command with the DecodeTga filter. Compare the reported baseline and test results and investigate the benchmark entry point. Done requires triage to identify a concrete, reproducible performance change; this report does not specify one.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
performance
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Active
Clarity
Needs clarification
Newbie friendliness
30/100

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