dotnet / dotnet/perf-autofiling-issues

[Perf] Windows/x64: 1 Improvement on 9/13/2026 9:28:00 AM +00:00

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arch-x64 branch-11.0 compilationmode-tiered kind-mlnet Look Again os-windows perf-improvement runkind-mlnet runtime-coreclr untriaged
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Description

### Run Information

Name | Value
-- | --
Architecture | x64
OS | Windows 10.0.22631
Queue | ViperWindows
Baseline | [1fee94ef34a9c6e2e4cf4199d9a546ef8a2a927d](https://github.com/dotnet/sdk/commit/1fee94ef34a9c6e2e4cf4199d9a546ef8a2a927d)
Compare | [fb92951eceabe91c5015b35e49acdbc9c867aaf8](https://github.com/dotnet/sdk/commit/fb92951eceabe91c5015b35e49acdbc9c867aaf8)
Diff | [Diff](https://github.com/dotnet/sdk/compare/1fee94ef34a9c6e2e4cf4199d9a546ef8a2a927d...fb92951eceabe91c5015b35e49acdbc9c867aaf8)
Configs | CompilationMode:tiered, RunKind:mlnet

### Improvements in Microsoft.ML.Benchmarks.HashBench

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

  • [HashVectorFloat - Duration of single invocation]()
  • 📝 - [Benchmark Source]()
  • [ADX - Test Multi Config Graph]()
| 5.78 ms | 3.70 ms | 0.64 | 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 'Microsoft.ML.Benchmarks.HashBench*'
```

### Microsoft.ML.Benchmarks.HashBench.HashVectorFloat

#### 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

The report points to src/benchmarks/real-world/Microsoft.ML.Benchmarks/HashBench.cs at lines 173-174 and the HashVectorFloat benchmark. Start by following the benchmarking workflow and running the provided benchmarks_ci.py command, then compare the reported Windows/x64 result with the linked baseline and test commits. The report does not define a code change or completion criteria.

Written by the indexing model from the issue text.

Assessment

Tech stack
csharp, python
Domain
performance
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Active
Clarity
Needs clarification
Newbie friendliness
25/100

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