[Perf] Windows/x64: 2 Regressions on 10/30/2024 11:37:11 PM

[performanceautofiler]

Run Information

Name	Value
Architecture	x64
OS	Windows 10.0.22631
Queue	ViperWindows
Baseline	7d548ce3c63a7712212d6be86a2439e57cef701c
Compare	d2a2a79b2eaf66d68a02f35917907bd9fbe97ea7
Diff	Diff
Configs	CompilationMode:tiered, RunKind:micro

Regressions in System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>

Benchmark	Baseline	Test	Test/Base	Test Quality	Edge Detector	Baseline IR	Compare IR	IR Ratio
AddMultiply_ScalarAddend - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	16.21 ns	17.91 ns	1.10	0.11	False
Add_Vector - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	16.94 ns	18.68 ns	1.10	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_NumberTensorPrimitives<Single>*'

System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.AddMultiply_ScalarAddend(BufferLength: 128)

ETL Files

Histogram

JIT Disasms

System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Single>.Add_Vector(BufferLength: 128)

ETL Files

Histogram

JIT Disasms

Docs

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