onednn1

fbsd

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2405092-NE-ONEDNN19342
Jump To Table - Results

Statistics

Remove Outliers Before Calculating Averages

Graph Settings

Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
fbsd
May 09
  13 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


onednn1 - Phoronix Test Suite

onednn1

fbsd

HTML result view exported from: https://openbenchmarking.org/result/2405092-NE-ONEDNN19342&grs.

onednn1ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionfbsdAMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores)X570S PG RiptideAMD [AMD] Starship/Matisse Root Complex64GB2 x Generic NVMe DeviceNVIDIA RTX A2000 6GBNVIDIA (0x228e) HDAArt MFreeBSD14.1-STABLE (x86_64)KDE Plasma 5.27.11X Server 1.21.1.13NVIDIA 550.54.144.6.0Clang 18.1.5zfs9216x2880OpenBenchmarking.org- RUSTFLAGS="-C target-cpu=native" CGO_LDFLAGS="-s -w"

onednn1onednn: Recurrent Neural Network Inference - CPUonednn: Recurrent Neural Network Training - CPUonednn: Deconvolution Batch shapes_3d - CPUonednn: Deconvolution Batch shapes_1d - CPUonednn: Convolution Batch Shapes Auto - CPUonednn: IP Shapes 1D - CPUonednn: IP Shapes 3D - CPUfbsd994.0601927.414.459553.784549.549072.716009.62256OpenBenchmarking.org

oneDNN

Harness: Recurrent Neural Network Inference - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Recurrent Neural Network Inference - Engine: CPUfbsd2004006008001000SE +/- 0.61, N = 3994.06MIN: 985.421. (CXX) clang++ options: -O3 -march=native -fopenmp=libomp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Recurrent Neural Network Training - Engine: CPUfbsd400800120016002000SE +/- 0.58, N = 31927.41MIN: 1917.141. (CXX) clang++ options: -O3 -march=native -fopenmp=libomp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_3d - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Deconvolution Batch shapes_3d - Engine: CPUfbsd1.00342.00683.01024.01365.017SE +/- 0.00338, N = 34.45955MIN: 4.441. (CXX) clang++ options: -O3 -march=native -fopenmp=libomp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_1d - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Deconvolution Batch shapes_1d - Engine: CPUfbsd0.85151.7032.55453.4064.2575SE +/- 0.00197, N = 33.78454MIN: 3.511. (CXX) clang++ options: -O3 -march=native -fopenmp=libomp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Convolution Batch Shapes Auto - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Convolution Batch Shapes Auto - Engine: CPUfbsd3691215SE +/- 0.01383, N = 39.54907MIN: 9.181. (CXX) clang++ options: -O3 -march=native -fopenmp=libomp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 1D - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: IP Shapes 1D - Engine: CPUfbsd0.61111.22221.83332.44443.0555SE +/- 0.00032, N = 32.71600MIN: 2.541. (CXX) clang++ options: -O3 -march=native -fopenmp=libomp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 3D - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: IP Shapes 3D - Engine: CPUfbsd3691215SE +/- 0.14910, N = 159.62256MIN: 8.821. (CXX) clang++ options: -O3 -march=native -fopenmp=libomp -msse4.1 -fPIC -pie -lpthread


Phoronix Test Suite v10.8.4