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/2212105-NE-NEWTESTS543&sor .
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 rav1e: 1 rav1e: 5 rav1e: 6 rav1e: 10 svt-av1: Preset 4 - Bosphorus 4K svt-av1: Preset 8 - Bosphorus 4K svt-av1: Preset 12 - Bosphorus 4K svt-av1: Preset 13 - Bosphorus 4K svt-av1: Preset 4 - Bosphorus 1080p svt-av1: Preset 8 - Bosphorus 1080p svt-av1: Preset 12 - Bosphorus 1080p svt-av1: Preset 13 - Bosphorus 1080p blender: BMW27 - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Barbershop - CPU-Only blender: Pabellon Barcelona - CPU-Only scikit-learn: MNIST Dataset scikit-learn: TSNE MNIST Dataset scikit-learn: Sparse Rand Projections, 100 Iterations 6346 2P 6346 a 6346 b 6346 c 8380 a 8380 b 8380 2p a 8380 2p b 0.718 2.9 4.576 10.77 3.792 66.017 201.643 200.672 9.613 151.818 605.262 591.927 46.79 127.57 62.75 501.89 154.82 118.058 25.46 144.487 0.702 2.781 4.211 9.895 3.133 44.337 164.337 160.363 8.933 120.205 538.061 550.004 92.35 252.33 122.74 986.85 306.51 117.481 24.45 149.303 0.7 2.732 4.2 9.945 3.109 45.038 167.554 161.324 8.904 118.12 543.091 549.112 93.57 252.54 120.93 969.29 306.09 117.535 24.594 151.608 0.705 2.762 4.188 10.103 3.106 44.724 165.822 161.064 8.807 119.959 539.355 548.641 92.31 251.78 121.45 0.686 2.853 4.546 11.006 3.82 65.099 221.34 202.852 9.539 148.928 604.969 567.444 45.61 124.36 59.77 464.47 149.28 118.61 25.991 146.358 0.687 2.855 4.492 10.89 3.794 65.454 222.374 203.967 9.514 150.499 607.394 570.186 45.78 124.07 59.92 464.27 150.09 118.024 25.491 146.911 0.678 2.805 4.386 10.455 3.943 72.684 226.237 203.550 9.568 154.246 605.862 565.958 23.03 62.01 31.09 237.94 74.64 119.981 27.647 142.380 0.679 2.792 4.402 10.593 3.974 73.267 228.187 205.944 9.697 153.606 615.118 560.728 22.75 61.53 30.69 238.21 74.15 120.008 26.893 141.808 OpenBenchmarking.org
rav1e Speed: 1 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.6.1 Speed: 1 6346 2P 6346 c 6346 a 6346 b 8380 b 8380 a 8380 2p b 8380 2p a 0.1616 0.3232 0.4848 0.6464 0.808 SE +/- 0.002, N = 3 0.718 0.705 0.702 0.700 0.687 0.686 0.679 0.678
rav1e Speed: 5 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.6.1 Speed: 5 6346 2P 8380 b 8380 a 8380 2p a 8380 2p b 6346 a 6346 c 6346 b 0.6525 1.305 1.9575 2.61 3.2625 SE +/- 0.002, N = 3 2.900 2.855 2.853 2.805 2.792 2.781 2.762 2.732
rav1e Speed: 6 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.6.1 Speed: 6 6346 2P 8380 a 8380 b 8380 2p b 8380 2p a 6346 a 6346 b 6346 c 1.0296 2.0592 3.0888 4.1184 5.148 SE +/- 0.022, N = 3 4.576 4.546 4.492 4.402 4.386 4.211 4.200 4.188
rav1e Speed: 10 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.6.1 Speed: 10 8380 a 8380 b 6346 2P 8380 2p b 8380 2p a 6346 c 6346 b 6346 a 3 6 9 12 15 SE +/- 0.033, N = 3 11.006 10.890 10.770 10.593 10.455 10.103 9.945 9.895
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 8380 2p b 8380 2p a 8380 a 8380 b 6346 2P 6346 a 6346 b 6346 c 0.8942 1.7884 2.6826 3.5768 4.471 SE +/- 0.011, N = 3 3.974 3.943 3.820 3.794 3.792 3.133 3.109 3.106 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 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 8 - Input: Bosphorus 4K 8380 2p b 8380 2p a 6346 2P 8380 b 8380 a 6346 b 6346 c 6346 a 16 32 48 64 80 SE +/- 0.41, N = 3 73.27 72.68 66.02 65.45 65.10 45.04 44.72 44.34 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 8380 2p b 8380 2p a 8380 b 8380 a 6346 2P 6346 b 6346 c 6346 a 50 100 150 200 250 SE +/- 0.80, N = 3 228.19 226.24 222.37 221.34 201.64 167.55 165.82 164.34 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 8380 2p b 8380 b 8380 2p a 8380 a 6346 2P 6346 b 6346 c 6346 a 50 100 150 200 250 SE +/- 1.15, N = 3 205.94 203.97 203.55 202.85 200.67 161.32 161.06 160.36 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 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 4 - Input: Bosphorus 1080p 8380 2p b 6346 2P 8380 2p a 8380 a 8380 b 6346 a 6346 b 6346 c 3 6 9 12 15 SE +/- 0.053, N = 3 9.697 9.613 9.568 9.539 9.514 8.933 8.904 8.807 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 8380 2p a 8380 2p b 6346 2P 8380 b 8380 a 6346 a 6346 c 6346 b 30 60 90 120 150 SE +/- 1.53, N = 3 154.25 153.61 151.82 150.50 148.93 120.21 119.96 118.12 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
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 8380 2p b 8380 b 8380 2p a 6346 2P 8380 a 6346 b 6346 c 6346 a 130 260 390 520 650 SE +/- 5.19, N = 3 615.12 607.39 605.86 605.26 604.97 543.09 539.36 538.06 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 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 13 - Input: Bosphorus 1080p 6346 2P 8380 b 8380 a 8380 2p a 8380 2p b 6346 a 6346 b 6346 c 130 260 390 520 650 SE +/- 1.14, N = 3 591.93 570.19 567.44 565.96 560.73 550.00 549.11 548.64 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
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: BMW27 - Compute: CPU-Only 8380 2p b 8380 2p a 8380 a 8380 b 6346 2P 6346 c 6346 a 6346 b 20 40 60 80 100 SE +/- 0.07, N = 3 22.75 23.03 45.61 45.78 46.79 92.31 92.35 93.57
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Classroom - Compute: CPU-Only 8380 2p b 8380 2p a 8380 b 8380 a 6346 2P 6346 c 6346 a 6346 b 60 120 180 240 300 SE +/- 0.16, N = 3 61.53 62.01 124.07 124.36 127.57 251.78 252.33 252.54
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Fishy Cat - Compute: CPU-Only 8380 2p b 8380 2p a 8380 a 8380 b 6346 2P 6346 b 6346 c 6346 a 30 60 90 120 150 SE +/- 0.21, N = 3 30.69 31.09 59.77 59.92 62.75 120.93 121.45 122.74
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Barbershop - Compute: CPU-Only 8380 2p a 8380 2p b 8380 b 8380 a 6346 2P 6346 b 6346 a 200 400 600 800 1000 SE +/- 0.47, N = 3 237.94 238.21 464.27 464.47 501.89 969.29 986.85
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Pabellon Barcelona - Compute: CPU-Only 8380 2p b 8380 2p a 8380 a 8380 b 6346 2P 6346 b 6346 a 70 140 210 280 350 SE +/- 0.04, N = 3 74.15 74.64 149.28 150.09 154.82 306.09 306.51
Scikit-Learn Benchmark: MNIST Dataset OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.1.3 Benchmark: MNIST Dataset 6346 a 6346 b 8380 b 6346 2P 8380 a 8380 2p a 8380 2p b 30 60 90 120 150 SE +/- 0.25, N = 3 117.48 117.54 118.02 118.06 118.61 119.98 120.01
Scikit-Learn Benchmark: TSNE MNIST Dataset OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.1.3 Benchmark: TSNE MNIST Dataset 6346 a 6346 b 6346 2P 8380 b 8380 a 8380 2p b 8380 2p a 7 14 21 28 35 SE +/- 0.11, N = 2 24.45 24.59 25.46 25.49 25.99 26.89 27.65
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 8380 2p b 8380 2p a 6346 2P 8380 a 8380 b 6346 a 6346 b 30 60 90 120 150 SE +/- 0.57, N = 3 141.81 142.38 144.49 146.36 146.91 149.30 151.61
Phoronix Test Suite v10.8.5