[Perf] Linux/x64: 2 Regressions on 7/15/2026 9:21:10 AM +00:00

### Run Information

Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | ViperUbuntu
Baseline | [9b4d3b99c89873c850b8ec1f7fd4b66d9eb6e3e2](https://github.com/dotnet/sdk/commit/9b4d3b99c89873c850b8ec1f7fd4b66d9eb6e3e2)
Compare | [ecc427bc7d7b4ee32b943f71196ab377f67c1105](https://github.com/dotnet/sdk/commit/ecc427bc7d7b4ee32b943f71196ab377f67c1105)
Diff | [Diff](https://github.com/dotnet/sdk/compare/9b4d3b99c89873c850b8ec1f7fd4b66d9eb6e3e2...ecc427bc7d7b4ee32b943f71196ab377f67c1105)
Configs | CompilationMode:tiered, RunKind:imagesharp

### Regressions in SixLabors.ImageSharp.Benchmarks.Codecs.Jpeg.DecodeJpeg

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

• [JpegProgressiveNonInterleaved420 - Duration of single invocation]()
• 📝 - [Benchmark Source]()
• [ADX - Test Multi Config Graph]()

| 9.93 ms | 11.96 ms | 1.20 | 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.JpegProgressiveNonInterleaved420

#### 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)

---

### Run Information

Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | ViperUbuntu
Baseline | [9b4d3b99c89873c850b8ec1f7fd4b66d9eb6e3e2](https://github.com/dotnet/sdk/commit/9b4d3b99c89873c850b8ec1f7fd4b66d9eb6e3e2)
Compare | [ecc427bc7d7b4ee32b943f71196ab377f67c1105](https://github.com/dotnet/sdk/commit/ecc427bc7d7b4ee32b943f71196ab377f67c1105)
Diff | [Diff](https://github.com/dotnet/sdk/compare/9b4d3b99c89873c850b8ec1f7fd4b66d9eb6e3e2...ecc427bc7d7b4ee32b943f71196ab377f67c1105)
Configs | CompilationMode:tiered, RunKind:imagesharp

### Regressions 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]()

| 7.12 μs | 7.88 μs | 1.11 | 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)

Start with the benchmark sources at src/benchmarks/real-world/ImageSharp/Codecs/Jpeg/DecodeJpeg.cs and DecodeTga.cs, then run the provided benchmarks_ci.py commands for the named filters. Compare the reported results with the linked baseline and test commits; done means the two Linux/x64 regressions are investigated and the benchmark results no longer show the regression.

Written by the indexing model from the issue text.