[Perf] Linux/x64: 2 Regressions on 7/11/2026 9:09:52 AM +00:00

### Run Information

Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | ViperUbuntu
Baseline | [4a6c691f97cd93b08ef0794d297de622e4409e66](https://github.com/dotnet/sdk/commit/4a6c691f97cd93b08ef0794d297de622e4409e66)
Compare | [50dbab4de210e882172b07934e9666313b7065f1](https://github.com/dotnet/sdk/commit/50dbab4de210e882172b07934e9666313b7065f1)
Diff | [Diff](https://github.com/dotnet/sdk/compare/4a6c691f97cd93b08ef0794d297de622e4409e66...50dbab4de210e882172b07934e9666313b7065f1)
Configs | CompilationMode:tiered, RunKind:mlnet

### Regressions in Microsoft.ML.Benchmarks.StochasticDualCoordinateAscentClassifierBench

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

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

| 163.80 ns | 187.63 ns | 1.15 | 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 'Microsoft.ML.Benchmarks.StochasticDualCoordinateAscentClassifierBench*'
```

### Microsoft.ML.Benchmarks.StochasticDualCoordinateAscentClassifierBench.PredictIris

#### 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 | [4a6c691f97cd93b08ef0794d297de622e4409e66](https://github.com/dotnet/sdk/commit/4a6c691f97cd93b08ef0794d297de622e4409e66)
Compare | [50dbab4de210e882172b07934e9666313b7065f1](https://github.com/dotnet/sdk/commit/50dbab4de210e882172b07934e9666313b7065f1)
Diff | [Diff](https://github.com/dotnet/sdk/compare/4a6c691f97cd93b08ef0794d297de622e4409e66...50dbab4de210e882172b07934e9666313b7065f1)
Configs | CompilationMode:tiered, RunKind:mlnet

### Regressions in Microsoft.ML.Benchmarks.HashBench

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

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

| 560.42 μs | 638.74 μs | 1.14 | 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 'Microsoft.ML.Benchmarks.HashBench*'
```

### Microsoft.ML.Benchmarks.HashBench.HashScalarDouble

#### 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 by running scripts/benchmarks_ci.py with the two filters for StochasticDualCoordinateAscentClassifierBench and HashBench on Ubuntu 22.04. Read the benchmark sources at src/benchmarks/real-world/Microsoft.ML.Benchmarks/StochasticDualCoordinateAscentClassifierBench.cs and HashBench.cs, then follow the benchmarking and profiling workflow docs. Done means identifying the regression cause and restoring performance without breaking the benchmark results.

Written by the indexing model from the issue text.