new tests 2 x Intel Xeon Platinum 8380 testing with a Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) and ASPEED on Clear Linux OS 37730 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2212100-NE-NEWTESTS573&grs .
new tests Processor Motherboard Chipset Memory Disk Graphics Network OS Kernel Display Server Compiler File-System Screen Resolution 6346 2P 6346 a 6346 b 6346 c 8380 a 8380 b 8380 2p a 8380 2p b 2 x Intel Xeon Gold 6346 @ 3.60GHz (32 Cores / 64 Threads) Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) Intel Device 0998 512GB 800GB INTEL SSDPF21Q800GB ASPEED 2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP Clear Linux OS 37730 6.0.11-1216.native (x86_64) X Server GCC 12.2.1 20221130 releases/gcc-12.2.0-251-g24b8b44ea3 + Clang 15.0.4 + LLVM 15.0.4 ext4 1024x768 Intel Xeon Gold 6346 @ 3.60GHz (16 Cores / 32 Threads) 256GB Intel Xeon Platinum 8380 @ 3.40GHz (40 Cores / 80 Threads) 2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads) 512GB OpenBenchmarking.org Kernel Details - Transparent Huge Pages: always Environment Details - FFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z,now -Wl,-z,relro -malign-data=abi -fno-semantic-interposition -ftree-vectorize -ftree-loop-vectorize -Wl,--enable-new-dtags" CXXFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -Wformat -Wformat-security -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z,now -Wl,-z,relro -fno-semantic-interposition -ffat-lto-objects -fno-trapping-math -Wl,-sort-common -Wl,--enable-new-dtags -mtune=skylake -mrelax-cmpxchg-loop -fvisibility-inlines-hidden -Wl,--enable-new-dtags -std=gnu++17" FCFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z,now -Wl,-z,relro -malign-data=abi -fno-semantic-interposition -ftree-vectorize -ftree-loop-vectorize -Wl,-sort-common -Wl,--enable-new-dtags" CFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -Wformat -Wformat-security -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z,now -Wl,-z,relro -fno-semantic-interposition -ffat-lto-objects -fno-trapping-math -Wl,-sort-common -Wl,--enable-new-dtags -mtune=skylake -mrelax-cmpxchg-loop" THEANO_FLAGS="floatX=float32,openmp=true,gcc.cxxflags="-ftree-vectorize -mavx"" Compiler Details - --build=x86_64-generic-linux --disable-libmpx --disable-libunwind-exceptions --disable-multiarch --disable-vtable-verify --disable-werror --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-clocale=gnu --enable-default-pie --enable-gnu-indirect-function --enable-gnu-indirect-function --enable-host-shared --enable-languages=c,c++,fortran,go,jit --enable-ld=default --enable-libstdcxx-pch --enable-linux-futex --enable-lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --exec-prefix=/usr --includedir=/usr/include --target=x86_64-generic-linux --with-arch=x86-64-v3 --with-gcc-major-version-only --with-glibc-version=2.35 --with-gnu-ld --with-isl --with-pic --with-ppl=yes --with-tune=skylake-avx512 --with-zstd Processor Details - Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0xd000375 Python Details - Python 3.11.0 Security Details - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
new tests blender: Barbershop - CPU-Only blender: Pabellon Barcelona - CPU-Only blender: BMW27 - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only svt-av1: Preset 8 - Bosphorus 4K svt-av1: Preset 12 - Bosphorus 4K svt-av1: Preset 8 - Bosphorus 1080p svt-av1: Preset 13 - Bosphorus 4K svt-av1: Preset 4 - Bosphorus 4K svt-av1: Preset 12 - Bosphorus 1080p scikit-learn: TSNE MNIST Dataset rav1e: 10 svt-av1: Preset 4 - Bosphorus 1080p rav1e: 6 svt-av1: Preset 13 - Bosphorus 1080p scikit-learn: Sparse Rand Projections, 100 Iterations rav1e: 5 rav1e: 1 scikit-learn: MNIST Dataset 6346 2P 6346 a 6346 b 6346 c 8380 a 8380 b 8380 2p a 8380 2p b 501.89 154.82 46.79 127.57 62.75 66.017 201.643 151.818 200.672 3.792 605.262 25.46 10.77 9.613 4.576 591.927 144.487 2.9 0.718 118.058 986.85 306.51 92.35 252.33 122.74 44.337 164.337 120.205 160.363 3.133 538.061 24.45 9.895 8.933 4.211 550.004 149.303 2.781 0.702 117.481 969.29 306.09 93.57 252.54 120.93 45.038 167.554 118.12 161.324 3.109 543.091 24.594 9.945 8.904 4.2 549.112 151.608 2.732 0.7 117.535 92.31 251.78 121.45 44.724 165.822 119.959 161.064 3.106 539.355 10.103 8.807 4.188 548.641 2.762 0.705 464.47 149.28 45.61 124.36 59.77 65.099 221.34 148.928 202.852 3.82 604.969 25.991 11.006 9.539 4.546 567.444 146.358 2.853 0.686 118.61 464.27 150.09 45.78 124.07 59.92 65.454 222.374 150.499 203.967 3.794 607.394 25.491 10.89 9.514 4.492 570.186 146.911 2.855 0.687 118.024 237.94 74.64 23.03 62.01 31.09 72.684 226.237 154.246 203.550 3.943 605.862 27.647 10.455 9.568 4.386 565.958 142.380 2.805 0.678 119.981 238.21 74.15 22.75 61.53 30.69 73.267 228.187 153.606 205.944 3.974 615.118 26.893 10.593 9.697 4.402 560.728 141.808 2.792 0.679 120.008 OpenBenchmarking.org
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Barbershop - Compute: CPU-Only 6346 2P 6346 a 6346 b 8380 a 8380 b 8380 2p a 8380 2p b 200 400 600 800 1000 SE +/- 0.47, N = 3 501.89 986.85 969.29 464.47 464.27 237.94 238.21
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Pabellon Barcelona - Compute: CPU-Only 6346 2P 6346 a 6346 b 8380 a 8380 b 8380 2p a 8380 2p b 70 140 210 280 350 SE +/- 0.04, N = 3 154.82 306.51 306.09 149.28 150.09 74.64 74.15
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: BMW27 - Compute: CPU-Only 6346 2P 6346 a 6346 b 6346 c 8380 a 8380 b 8380 2p a 8380 2p b 20 40 60 80 100 SE +/- 0.07, N = 3 46.79 92.35 93.57 92.31 45.61 45.78 23.03 22.75
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Classroom - Compute: CPU-Only 6346 2P 6346 a 6346 b 6346 c 8380 a 8380 b 8380 2p a 8380 2p b 60 120 180 240 300 SE +/- 0.16, N = 3 127.57 252.33 252.54 251.78 124.36 124.07 62.01 61.53
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Fishy Cat - Compute: CPU-Only 6346 2P 6346 a 6346 b 6346 c 8380 a 8380 b 8380 2p a 8380 2p b 30 60 90 120 150 SE +/- 0.21, N = 3 62.75 122.74 120.93 121.45 59.77 59.92 31.09 30.69
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 8 - Input: Bosphorus 4K 6346 2P 6346 a 6346 b 6346 c 8380 a 8380 b 8380 2p a 8380 2p b 16 32 48 64 80 SE +/- 0.41, N = 3 66.02 44.34 45.04 44.72 65.10 65.45 72.68 73.27 1. (CXX) g++ options: -O3 -pipe -fexceptions -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -mrelax-cmpxchg-loop -std=gnu++17 -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 12 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 12 - Input: Bosphorus 4K 6346 2P 6346 a 6346 b 6346 c 8380 a 8380 b 8380 2p a 8380 2p b 50 100 150 200 250 SE +/- 0.80, N = 3 201.64 164.34 167.55 165.82 221.34 222.37 226.24 228.19 1. (CXX) g++ options: -O3 -pipe -fexceptions -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -mrelax-cmpxchg-loop -std=gnu++17 -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 8 - Input: Bosphorus 1080p 6346 2P 6346 a 6346 b 6346 c 8380 a 8380 b 8380 2p a 8380 2p b 30 60 90 120 150 SE +/- 1.53, N = 3 151.82 120.21 118.12 119.96 148.93 150.50 154.25 153.61 1. (CXX) g++ options: -O3 -pipe -fexceptions -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -mrelax-cmpxchg-loop -std=gnu++17 -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 13 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 13 - Input: Bosphorus 4K 6346 2P 6346 a 6346 b 6346 c 8380 a 8380 b 8380 2p a 8380 2p b 50 100 150 200 250 SE +/- 1.15, N = 3 200.67 160.36 161.32 161.06 202.85 203.97 203.55 205.94 1. (CXX) g++ options: -O3 -pipe -fexceptions -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -mrelax-cmpxchg-loop -std=gnu++17 -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 4 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 4 - Input: Bosphorus 4K 6346 2P 6346 a 6346 b 6346 c 8380 a 8380 b 8380 2p a 8380 2p b 0.8942 1.7884 2.6826 3.5768 4.471 SE +/- 0.011, N = 3 3.792 3.133 3.109 3.106 3.820 3.794 3.943 3.974 1. (CXX) g++ options: -O3 -pipe -fexceptions -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -mrelax-cmpxchg-loop -std=gnu++17 -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 12 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 12 - Input: Bosphorus 1080p 6346 2P 6346 a 6346 b 6346 c 8380 a 8380 b 8380 2p a 8380 2p b 130 260 390 520 650 SE +/- 5.19, N = 3 605.26 538.06 543.09 539.36 604.97 607.39 605.86 615.12 1. (CXX) g++ options: -O3 -pipe -fexceptions -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -mrelax-cmpxchg-loop -std=gnu++17 -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
Scikit-Learn Benchmark: TSNE MNIST Dataset OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.1.3 Benchmark: TSNE MNIST Dataset 6346 2P 6346 a 6346 b 8380 a 8380 b 8380 2p a 8380 2p b 7 14 21 28 35 SE +/- 0.11, N = 2 25.46 24.45 24.59 25.99 25.49 27.65 26.89
rav1e Speed: 10 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.6.1 Speed: 10 6346 2P 6346 a 6346 b 6346 c 8380 a 8380 b 8380 2p a 8380 2p b 3 6 9 12 15 SE +/- 0.033, N = 3 10.770 9.895 9.945 10.103 11.006 10.890 10.455 10.593
SVT-AV1 Encoder Mode: Preset 4 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 4 - Input: Bosphorus 1080p 6346 2P 6346 a 6346 b 6346 c 8380 a 8380 b 8380 2p a 8380 2p b 3 6 9 12 15 SE +/- 0.053, N = 3 9.613 8.933 8.904 8.807 9.539 9.514 9.568 9.697 1. (CXX) g++ options: -O3 -pipe -fexceptions -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -mrelax-cmpxchg-loop -std=gnu++17 -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
rav1e Speed: 6 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.6.1 Speed: 6 6346 2P 6346 a 6346 b 6346 c 8380 a 8380 b 8380 2p a 8380 2p b 1.0296 2.0592 3.0888 4.1184 5.148 SE +/- 0.022, N = 3 4.576 4.211 4.200 4.188 4.546 4.492 4.386 4.402
SVT-AV1 Encoder Mode: Preset 13 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 13 - Input: Bosphorus 1080p 6346 2P 6346 a 6346 b 6346 c 8380 a 8380 b 8380 2p a 8380 2p b 130 260 390 520 650 SE +/- 1.14, N = 3 591.93 550.00 549.11 548.64 567.44 570.19 565.96 560.73 1. (CXX) g++ options: -O3 -pipe -fexceptions -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -mrelax-cmpxchg-loop -std=gnu++17 -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
Scikit-Learn Benchmark: Sparse Random Projections, 100 Iterations OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.1.3 Benchmark: Sparse Random Projections, 100 Iterations 6346 2P 6346 a 6346 b 8380 a 8380 b 8380 2p a 8380 2p b 30 60 90 120 150 SE +/- 0.57, N = 3 144.49 149.30 151.61 146.36 146.91 142.38 141.81
rav1e Speed: 5 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.6.1 Speed: 5 6346 2P 6346 a 6346 b 6346 c 8380 a 8380 b 8380 2p a 8380 2p b 0.6525 1.305 1.9575 2.61 3.2625 SE +/- 0.002, N = 3 2.900 2.781 2.732 2.762 2.853 2.855 2.805 2.792
rav1e Speed: 1 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.6.1 Speed: 1 6346 2P 6346 a 6346 b 6346 c 8380 a 8380 b 8380 2p a 8380 2p b 0.1616 0.3232 0.4848 0.6464 0.808 SE +/- 0.002, N = 3 0.718 0.702 0.700 0.705 0.686 0.687 0.678 0.679
Scikit-Learn Benchmark: MNIST Dataset OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.1.3 Benchmark: MNIST Dataset 6346 2P 6346 a 6346 b 8380 a 8380 b 8380 2p a 8380 2p b 30 60 90 120 150 SE +/- 0.25, N = 3 118.06 117.48 117.54 118.61 118.02 119.98 120.01
Phoronix Test Suite v10.8.5