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 onednn1 - Phoronix Test Suite onednn1 fbsd
HTML result view exported from: https://openbenchmarking.org/result/2405092-NE-ONEDNN19342&grs .
onednn1 Processor Motherboard Chipset Memory Disk Graphics Audio Monitor OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution fbsd AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores) X570S PG Riptide AMD [AMD] Starship/Matisse Root Complex 64GB 2 x Generic NVMe Device NVIDIA RTX A2000 6GB NVIDIA (0x228e) HDA Art M FreeBSD 14.1-STABLE (x86_64) KDE Plasma 5.27.11 X Server 1.21.1.13 NVIDIA 550.54.14 4.6.0 Clang 18.1.5 zfs 9216x2880 OpenBenchmarking.org - RUSTFLAGS="-C target-cpu=native" CGO_LDFLAGS="-s -w"
onednn1 onednn: Recurrent Neural Network Inference - CPU onednn: Recurrent Neural Network Training - CPU onednn: Deconvolution Batch shapes_3d - CPU onednn: Deconvolution Batch shapes_1d - CPU onednn: Convolution Batch Shapes Auto - CPU onednn: IP Shapes 1D - CPU onednn: IP Shapes 3D - CPU fbsd 994.060 1927.41 4.45955 3.78454 9.54907 2.71600 9.62256 OpenBenchmarking.org
oneDNN Harness: Recurrent Neural Network Inference - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.4 Harness: Recurrent Neural Network Inference - Engine: CPU fbsd 200 400 600 800 1000 SE +/- 0.61, N = 3 994.06 MIN: 985.42 1. (CXX) clang++ options: -O3 -march=native -fopenmp=libomp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Training - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.4 Harness: Recurrent Neural Network Training - Engine: CPU fbsd 400 800 1200 1600 2000 SE +/- 0.58, N = 3 1927.41 MIN: 1917.14 1. (CXX) clang++ options: -O3 -march=native -fopenmp=libomp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Deconvolution Batch shapes_3d - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.4 Harness: Deconvolution Batch shapes_3d - Engine: CPU fbsd 1.0034 2.0068 3.0102 4.0136 5.017 SE +/- 0.00338, N = 3 4.45955 MIN: 4.44 1. (CXX) clang++ options: -O3 -march=native -fopenmp=libomp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Deconvolution Batch shapes_1d - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.4 Harness: Deconvolution Batch shapes_1d - Engine: CPU fbsd 0.8515 1.703 2.5545 3.406 4.2575 SE +/- 0.00197, N = 3 3.78454 MIN: 3.51 1. (CXX) clang++ options: -O3 -march=native -fopenmp=libomp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Convolution Batch Shapes Auto - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.4 Harness: Convolution Batch Shapes Auto - Engine: CPU fbsd 3 6 9 12 15 SE +/- 0.01383, N = 3 9.54907 MIN: 9.18 1. (CXX) clang++ options: -O3 -march=native -fopenmp=libomp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: IP Shapes 1D - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.4 Harness: IP Shapes 1D - Engine: CPU fbsd 0.6111 1.2222 1.8333 2.4444 3.0555 SE +/- 0.00032, N = 3 2.71600 MIN: 2.54 1. (CXX) clang++ options: -O3 -march=native -fopenmp=libomp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: IP Shapes 3D - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.4 Harness: IP Shapes 3D - Engine: CPU fbsd 3 6 9 12 15 SE +/- 0.14910, N = 15 9.62256 MIN: 8.82 1. (CXX) clang++ options: -O3 -march=native -fopenmp=libomp -msse4.1 -fPIC -pie -lpthread
Phoronix Test Suite v10.8.4