[Perf] Windows/x64: 2 Regressions on 10/16/2025 6:30:56 PM +00:00

[performanceautofiler]

Run Information

Name	Value
Architecture	x64
OS	Windows 10.0.22631
Queue	ViperWindows
Baseline	ccf1a58314126e3858120f63f37380b706cdbabe
Compare	8f0e8abd5c5a315de2fb7e8327f1c61d5b8f3dbd
Diff	Diff
Configs	CompilationMode:tiered, RunKind:micro

Regressions in System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Double>

Benchmark	Baseline	Test	Test/Base	Test Quality	Edge Detector	Baseline IR	Compare IR	IR Ratio
Pow_ScalarExponent - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	15.86 μs	16.69 μs	1.05	0.09	False
Pow_ScalarBase - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	15.86 μs	16.69 μs	1.05	0.09	False

Test Report

Repro

General Docs link: https://github.com/dotnet/performance/blob/main/docs/benchmarking-workflow-dotnet-runtime.md

git clone https://github.com/dotnet/performance.git
py .\performance\scripts\benchmarks_ci.py -f net8.0 --filter 'System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Double>*'

System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Double>.Pow_ScalarExponent(BufferLength: 3079)

ETL Files

Histogram

JIT Disasms

System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Double>.Pow_ScalarBase(BufferLength: 3079)

ETL Files

Histogram

JIT Disasms

Docs

Profiling workflow for dotnet/runtime repository
Benchmarking workflow for dotnet/runtime repository

[LoopedBard3]

Nothing in range: 0327b0d...8f0e8ab seems likely and these tests are slightly noisy, did see a minor jump but worth waiting to see if we have more data.

[LoopedBard3]

Looking again, it may be related to #120802. Does that seem possible @tannergooding?

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