8380 sun

2 x Intel Xeon Platinum 8380 testing with a Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) and ASPEED on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2204037-NE-8380SUN3435
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April 03 2022
  22 Minutes
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April 03 2022
  22 Minutes
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April 03 2022
  57 Minutes
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April 03 2022
  56 Minutes
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8380 sunOpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads)Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS)Intel Device 0998512GB3841GB Micron_9300_MTFDHAL3T8TDPASPEEDVE2282 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFPUbuntu 20.045.15.11-051511-generic (x86_64)GNOME Shell 3.36.9X Server 1.20.131.0.2GCC 9.3.0 + Clang 10.0.0-4ubuntu1ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen Resolution8380 Sun BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0xd0002a0 - OpenJDK Runtime Environment (build 11.0.13+8-Ubuntu-0ubuntu1.20.04)- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

ABCDResult OverviewPhoronix Test Suite100%101%102%103%perf-benchJava JMHoneDNN

8380 sunperf-bench: Epoll Waitperf-bench: Futex Hashperf-bench: Memcpy 1MBperf-bench: Memset 1MBperf-bench: Sched Pipeperf-bench: Futex Lock-Piperf-bench: Syscall Basiconednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUonednn: IP Shapes 3D - bf16bf16bf16 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUjava-jmh: ThroughputABCD3190299093816.84611758.85090515748447139554400.8743691.277511.304840.4448062.983151.813351.384727.247380.8841681.138240.3722740.194293627.389379.171618.6762.123093.785753.62162378.8550.230657636.287378.9590.1779392.08241117974431957.743376299035615.9343453.17192615964144139850080.8580121.28131.297610.4387983.000611.810131.392727.237010.8886751.129150.36910.196251625.616379.589626.9822.117863.790393.61967383.2080.234187621.88386.1790.1701092.09074117397403601.043518298584316.26780158.44890615906449139760560.8634191.290491.283100.4437442.993631.820231.388297.269690.8882881.145030.3644780.194502621.734379.634618.1432.104923.762453.60012379.2060.232623618.823379.5850.1723502.05510117539633814.563345298485315.95404459.78867315889650139255170.8552131.289791.275390.4453762.994081.820821.381837.296530.8845721.152700.3726930.191428622.500378.233617.7922.117353.774493.60258378.6410.232562617.729377.2340.1721822.08466117793385377.77OpenBenchmarking.org

perf-bench

This test profile is used for running Linux perf-bench, the benchmark support within the Linux kernel's perf tool. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Epoll WaitABCD8001600240032004000SE +/- 26.58, N = 3SE +/- 25.11, N = 331903376351833451. (CC) gcc options: -pthread -shared -lunwind-x86_64 -lunwind -llzma -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma
OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Epoll WaitABCD6001200180024003000Min: 3465 / Avg: 3518 / Max: 3548Min: 3316 / Avg: 3345 / Max: 33951. (CC) gcc options: -pthread -shared -lunwind-x86_64 -lunwind -llzma -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma

OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Futex HashABCD600K1200K1800K2400K3000KSE +/- 2180.19, N = 3SE +/- 4824.86, N = 329909382990356298584329848531. (CC) gcc options: -pthread -shared -lunwind-x86_64 -lunwind -llzma -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma
OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Futex HashABCD500K1000K1500K2000K2500KMin: 2981510 / Avg: 2985843 / Max: 2988432Min: 2977576 / Avg: 2984853.33 / Max: 29939801. (CC) gcc options: -pthread -shared -lunwind-x86_64 -lunwind -llzma -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma

OpenBenchmarking.orgGB/sec, More Is Betterperf-benchBenchmark: Memcpy 1MBABCD48121620SE +/- 0.16, N = 3SE +/- 0.18, N = 316.8515.9316.2715.951. (CC) gcc options: -pthread -shared -lunwind-x86_64 -lunwind -llzma -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma
OpenBenchmarking.orgGB/sec, More Is Betterperf-benchBenchmark: Memcpy 1MBABCD48121620Min: 15.97 / Avg: 16.27 / Max: 16.5Min: 15.59 / Avg: 15.95 / Max: 16.131. (CC) gcc options: -pthread -shared -lunwind-x86_64 -lunwind -llzma -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma

OpenBenchmarking.orgGB/sec, More Is Betterperf-benchBenchmark: Memset 1MBABCD1326395265SE +/- 0.55, N = 15SE +/- 1.02, N = 358.8553.1758.4559.791. (CC) gcc options: -pthread -shared -lunwind-x86_64 -lunwind -llzma -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma
OpenBenchmarking.orgGB/sec, More Is Betterperf-benchBenchmark: Memset 1MBABCD1224364860Min: 54.77 / Avg: 58.45 / Max: 61.76Min: 58.43 / Avg: 59.79 / Max: 61.781. (CC) gcc options: -pthread -shared -lunwind-x86_64 -lunwind -llzma -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma

OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Sched PipeABCD30K60K90K120K150KSE +/- 545.51, N = 3SE +/- 451.65, N = 31574841596411590641588961. (CC) gcc options: -pthread -shared -lunwind-x86_64 -lunwind -llzma -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma
OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Sched PipeABCD30K60K90K120K150KMin: 158287 / Avg: 159064.33 / Max: 160116Min: 157994 / Avg: 158896 / Max: 1593891. (CC) gcc options: -pthread -shared -lunwind-x86_64 -lunwind -llzma -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma

OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Futex Lock-PiABCD1122334455SE +/- 1.92, N = 15SE +/- 2.63, N = 15474449501. (CC) gcc options: -pthread -shared -lunwind-x86_64 -lunwind -llzma -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma
OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Futex Lock-PiABCD1020304050Min: 39 / Avg: 48.67 / Max: 64Min: 40 / Avg: 50.47 / Max: 801. (CC) gcc options: -pthread -shared -lunwind-x86_64 -lunwind -llzma -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma

OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Syscall BasicABCD3M6M9M12M15MSE +/- 4397.07, N = 3SE +/- 37556.12, N = 3139554401398500813976056139255171. (CC) gcc options: -pthread -shared -lunwind-x86_64 -lunwind -llzma -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma
OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Syscall BasicABCD2M4M6M8M10MMin: 13967410 / Avg: 13976056.33 / Max: 13981770Min: 13850958 / Avg: 13925517 / Max: 139706771. (CC) gcc options: -pthread -shared -lunwind-x86_64 -lunwind -llzma -Xlinker -export-dynamic -O6 -ggdb3 -funwind-tables -std=gnu99 -fPIC -lnuma

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUABCD0.19670.39340.59010.78680.9835SE +/- 0.001707, N = 3SE +/- 0.002275, N = 30.8743690.8580120.8634190.855213MIN: 0.81MIN: 0.8MIN: 0.8MIN: 0.81. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUABCD246810Min: 0.86 / Avg: 0.86 / Max: 0.87Min: 0.85 / Avg: 0.86 / Max: 0.861. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUABCD0.29040.58080.87121.16161.452SE +/- 0.00528, N = 3SE +/- 0.00317, N = 31.277511.281301.290491.28979MIN: 1.24MIN: 1.25MIN: 1.25MIN: 1.251. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUABCD246810Min: 1.28 / Avg: 1.29 / Max: 1.3Min: 1.28 / Avg: 1.29 / Max: 1.291. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUABCD0.29360.58720.88081.17441.468SE +/- 0.02105, N = 3SE +/- 0.01852, N = 31.304841.297611.283101.27539MIN: 0.94MIN: 1.02MIN: 0.93MIN: 0.891. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUABCD246810Min: 1.24 / Avg: 1.28 / Max: 1.31Min: 1.24 / Avg: 1.28 / Max: 1.31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUABCD0.10020.20040.30060.40080.501SE +/- 0.001544, N = 3SE +/- 0.000362, N = 30.4448060.4387980.4437440.445376MIN: 0.41MIN: 0.41MIN: 0.41MIN: 0.411. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUABCD12345Min: 0.44 / Avg: 0.44 / Max: 0.45Min: 0.44 / Avg: 0.45 / Max: 0.451. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUABCD0.67511.35022.02532.70043.3755SE +/- 0.00300, N = 3SE +/- 0.00450, N = 32.983153.000612.993632.99408MIN: 2.86MIN: 2.87MIN: 2.86MIN: 2.851. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUABCD246810Min: 2.99 / Avg: 2.99 / Max: 3Min: 2.99 / Avg: 2.99 / Max: 31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPUABCD0.40970.81941.22911.63882.0485SE +/- 0.00151, N = 3SE +/- 0.00600, N = 31.813351.810131.820231.82082MIN: 1.68MIN: 1.68MIN: 1.68MIN: 1.681. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPUABCD246810Min: 1.82 / Avg: 1.82 / Max: 1.82Min: 1.81 / Avg: 1.82 / Max: 1.831. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUABCD0.31340.62680.94021.25361.567SE +/- 0.00571, N = 3SE +/- 0.00232, N = 31.384721.392721.388291.38183MIN: 1.28MIN: 1.24MIN: 1.26MIN: 1.261. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUABCD246810Min: 1.38 / Avg: 1.39 / Max: 1.39Min: 1.38 / Avg: 1.38 / Max: 1.381. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUABCD246810SE +/- 0.00587, N = 3SE +/- 0.00979, N = 37.247387.237017.269697.29653MIN: 6.76MIN: 6.73MIN: 6.69MIN: 6.671. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUABCD3691215Min: 7.26 / Avg: 7.27 / Max: 7.28Min: 7.28 / Avg: 7.3 / Max: 7.311. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUABCD0.20.40.60.81SE +/- 0.002781, N = 3SE +/- 0.001577, N = 30.8841680.8886750.8882880.884572MIN: 0.84MIN: 0.84MIN: 0.84MIN: 0.841. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUABCD246810Min: 0.88 / Avg: 0.89 / Max: 0.89Min: 0.88 / Avg: 0.88 / Max: 0.891. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUABCD0.25940.51880.77821.03761.297SE +/- 0.00239, N = 3SE +/- 0.00521, N = 31.138241.129151.145031.15270MIN: 0.95MIN: 0.96MIN: 0.97MIN: 0.971. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUABCD246810Min: 1.14 / Avg: 1.15 / Max: 1.15Min: 1.14 / Avg: 1.15 / Max: 1.161. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUABCD0.08390.16780.25170.33560.4195SE +/- 0.000878, N = 3SE +/- 0.003422, N = 30.3722740.3691000.3644780.372693MIN: 0.33MIN: 0.33MIN: 0.33MIN: 0.331. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUABCD12345Min: 0.36 / Avg: 0.36 / Max: 0.37Min: 0.37 / Avg: 0.37 / Max: 0.381. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUABCD0.04420.08840.13260.17680.221SE +/- 0.001404, N = 3SE +/- 0.000487, N = 30.1942930.1962510.1945020.191428MIN: 0.18MIN: 0.18MIN: 0.18MIN: 0.181. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUABCD12345Min: 0.19 / Avg: 0.19 / Max: 0.2Min: 0.19 / Avg: 0.19 / Max: 0.191. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUABCD140280420560700SE +/- 1.66, N = 3SE +/- 1.46, N = 3627.39625.62621.73622.50MIN: 596.88MIN: 597.43MIN: 594.79MIN: 596.581. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUABCD110220330440550Min: 618.98 / Avg: 621.73 / Max: 624.73Min: 619.59 / Avg: 622.5 / Max: 624.021. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUABCD80160240320400SE +/- 1.29, N = 3SE +/- 0.51, N = 3379.17379.59379.63378.23MIN: 363.09MIN: 361.95MIN: 361.75MIN: 360.81. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUABCD70140210280350Min: 377.13 / Avg: 379.63 / Max: 381.43Min: 377.61 / Avg: 378.23 / Max: 379.241. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUABCD140280420560700SE +/- 1.17, N = 3SE +/- 0.39, N = 3618.68626.98618.14617.79MIN: 594.98MIN: 598.45MIN: 592.21MIN: 594.211. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUABCD110220330440550Min: 615.86 / Avg: 618.14 / Max: 619.74Min: 617.13 / Avg: 617.79 / Max: 618.491. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUABCD0.47770.95541.43311.91082.3885SE +/- 0.00132, N = 3SE +/- 0.00242, N = 32.123092.117862.104922.11735MIN: 2.03MIN: 2.03MIN: 2.03MIN: 2.031. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUABCD246810Min: 2.1 / Avg: 2.1 / Max: 2.11Min: 2.11 / Avg: 2.12 / Max: 2.121. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPUABCD0.85281.70562.55843.41124.264SE +/- 0.00243, N = 3SE +/- 0.00723, N = 33.785753.790393.762453.77449MIN: 3.54MIN: 3.53MIN: 3.52MIN: 3.531. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPUABCD246810Min: 3.76 / Avg: 3.76 / Max: 3.77Min: 3.76 / Avg: 3.77 / Max: 3.791. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPUABCD0.81491.62982.44473.25964.0745SE +/- 0.00386, N = 3SE +/- 0.00989, N = 33.621623.619673.600123.60258MIN: 3.51MIN: 3.51MIN: 3.51MIN: 3.511. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPUABCD246810Min: 3.6 / Avg: 3.6 / Max: 3.61Min: 3.59 / Avg: 3.6 / Max: 3.621. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUABCD80160240320400SE +/- 2.30, N = 3SE +/- 0.30, N = 3378.86383.21379.21378.64MIN: 362.36MIN: 366.5MIN: 358.89MIN: 362.011. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUABCD70140210280350Min: 376.2 / Avg: 379.21 / Max: 383.72Min: 378.04 / Avg: 378.64 / Max: 378.981. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUABCD0.05270.10540.15810.21080.2635SE +/- 0.001971, N = 3SE +/- 0.000626, N = 30.2306570.2341870.2326230.232562MIN: 0.21MIN: 0.22MIN: 0.21MIN: 0.221. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUABCD12345Min: 0.23 / Avg: 0.23 / Max: 0.24Min: 0.23 / Avg: 0.23 / Max: 0.231. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUABCD140280420560700SE +/- 0.48, N = 3SE +/- 0.57, N = 3636.29621.88618.82617.73MIN: 595.54MIN: 595.66MIN: 594.97MIN: 594.741. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUABCD110220330440550Min: 617.89 / Avg: 618.82 / Max: 619.51Min: 616.76 / Avg: 617.73 / Max: 618.751. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUABCD80160240320400SE +/- 1.61, N = 3SE +/- 1.09, N = 3378.96386.18379.59377.23MIN: 363.09MIN: 363.76MIN: 358.8MIN: 359.791. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUABCD70140210280350Min: 377.34 / Avg: 379.58 / Max: 382.71Min: 375.95 / Avg: 377.23 / Max: 379.41. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUABCD0.040.080.120.160.2SE +/- 0.000739, N = 3SE +/- 0.001576, N = 30.1779390.1701090.1723500.172182MIN: 0.16MIN: 0.15MIN: 0.16MIN: 0.151. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUABCD12345Min: 0.17 / Avg: 0.17 / Max: 0.17Min: 0.17 / Avg: 0.17 / Max: 0.171. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPUABCD0.47040.94081.41121.88162.352SE +/- 0.01164, N = 3SE +/- 0.03558, N = 32.082412.090742.055102.08466MIN: 1.86MIN: 1.85MIN: 1.81MIN: 1.81. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPUABCD246810Min: 2.03 / Avg: 2.06 / Max: 2.07Min: 2.01 / Avg: 2.08 / Max: 2.131. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

Java JMH

This very basic test profile runs the stock benchmark of the Java JMH benchmark via Maven. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/s, More Is BetterJava JMHThroughputABCD30000M60000M90000M120000M150000M117974431957.74117397403601.04117539633814.56117793385377.77