tr 3970X OKtoberfest AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (1603 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2210099-NE-TR3970XOK74&grs&sro .
tr 3970X OKtoberfest Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server OpenGL Vulkan Compiler File-System Screen Resolution A B C AMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads) ASUS ROG ZENITH II EXTREME (1603 BIOS) AMD Starship/Matisse 64GB Samsung SSD 980 PRO 500GB AMD Radeon RX 5700 8GB (1750/875MHz) AMD Navi 10 HDMI Audio ASUS VP28U Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200 Ubuntu 22.04 5.19.0-051900rc7-generic (x86_64) GNOME Shell 42.2 X Server + Wayland 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47) 1.2.204 GCC 11.2.0 ext4 3840x2160 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler Details - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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 Processor Details - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x830104d Graphics Details - BAR1 / Visible vRAM Size: 256 MB - vBIOS Version: 113-D1820201-101 Python Details - Python 3.10.4 Security Details - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
tr 3970X OKtoberfest spacy: en_core_web_trf quadray: 1 - 1080p quadray: 2 - 1080p onednn: Matrix Multiply Batch Shapes Transformer - f32 - CPU webp2: Default aom-av1: Speed 6 Realtime - Bosphorus 1080p onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU onednn: IP Shapes 3D - u8s8f32 - CPU aom-av1: Speed 9 Realtime - Bosphorus 1080p aom-av1: Speed 10 Realtime - Bosphorus 1080p quadray: 3 - 4K quadray: 3 - 1080p onednn: Recurrent Neural Network Training - f32 - CPU onednn: IP Shapes 1D - u8s8f32 - CPU onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Training - u8s8f32 - CPU aom-av1: Speed 9 Realtime - Bosphorus 4K webp: Quality 100, Highest Compression aom-av1: Speed 8 Realtime - Bosphorus 1080p onednn: IP Shapes 3D - f32 - CPU aom-av1: Speed 10 Realtime - Bosphorus 4K onednn: Recurrent Neural Network Inference - u8s8f32 - CPU onednn: IP Shapes 1D - f32 - CPU aom-av1: Speed 6 Two-Pass - Bosphorus 1080p aom-av1: Speed 0 Two-Pass - Bosphorus 4K aom-av1: Speed 6 Two-Pass - Bosphorus 4K smhasher: FarmHash32 x86_64 AVX blender: Pabellon Barcelona - CPU-Only smhasher: SHA3-256 quadray: 5 - 1080p aom-av1: Speed 8 Realtime - Bosphorus 4K blender: Fishy Cat - CPU-Only openfoam: motorBike - Execution Time webp: Quality 100 tensorflow: CPU - 512 - ResNet-50 webp: Quality 100, Lossless, Highest Compression onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU tensorflow: CPU - 16 - AlexNet tensorflow: CPU - 16 - ResNet-50 onednn: Convolution Batch Shapes Auto - f32 - CPU aom-av1: Speed 6 Realtime - Bosphorus 4K y-cruncher: 500M spacy: en_core_web_lg blender: BMW27 - CPU-Only webp2: Quality 100, Compression Effort 5 onednn: Recurrent Neural Network Inference - f32 - CPU openfoam: drivaerFastback, Medium Mesh Size - Execution Time openfoam: drivaerFastback, Small Mesh Size - Execution Time onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU webp: Quality 100, Lossless quadray: 5 - 4K smhasher: MeowHash x86_64 AES-NI aom-av1: Speed 4 Two-Pass - Bosphorus 4K onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU blender: Classroom - CPU-Only tensorflow: CPU - 16 - GoogLeNet quadray: 2 - 4K blender: Barbershop - CPU-Only y-cruncher: 1B quadray: 1 - 4K tensorflow: CPU - 512 - GoogLeNet onednn: Deconvolution Batch shapes_3d - f32 - CPU openfoam: drivaerFastback, Small Mesh Size - Mesh Time webp: Default openfoam: drivaerFastback, Medium Mesh Size - Mesh Time openfoam: motorBike - Mesh Time encode-flac: WAV To FLAC smhasher: wyhash smhasher: fasthash32 smhasher: t1ha0_aes_avx2 x86_64 smhasher: t1ha2_atonce gravitymark: 3840 x 2160 - Vulkan tensorflow: CPU - 512 - AlexNet aom-av1: Speed 4 Two-Pass - Bosphorus 1080p smhasher: FarmHash128 onednn: Deconvolution Batch shapes_1d - f32 - CPU smhasher: Spooky32 onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU gravitymark: 1920 x 1080 - Vulkan aom-av1: Speed 0 Two-Pass - Bosphorus 1080p webp2: Quality 100, Lossless Compression webp2: Quality 95, Compression Effort 7 webp2: Quality 75, Compression Effort 7 smhasher: MeowHash x86_64 AES-NI smhasher: t1ha0_aes_avx2 x86_64 smhasher: FarmHash32 x86_64 AVX smhasher: t1ha2_atonce smhasher: FarmHash128 smhasher: fasthash32 smhasher: Spooky32 smhasher: SHA3-256 smhasher: wyhash A B C 1681 50.9 25.89 4.09764 10.10 48.85 9.6893 0.883551 77.25 76.85 5.76 21.46 4146.32 1.20598 4138.11 4128.92 40.15 3.32 65.42 4.24964 39.7 1246.71 1.3905 34.96 0.37 15.07 27816.28 135.75 149.17 6.3 31.24 53.73 65.6246 11.15 18.26 0.61 1279.1 64.34 13.25 5.37699 23.36 8.731 12553 41.71 9.97 1253.43 1462.1151 93.877611 1.57136 1.53 1.61 38291.59 8.52 5.95631 112.24 45.69 7 448.16 17.987 14.58 54.95 2.69613 24.239027 17.54 166.20987 39.2973 18.037 23742.58 6723.98 67943.08 15842.58 65 143.36 14.82 16150.42 5.84631 14597.62 1.45583 101.4 1.03 0.04 0.18 0.36 56.316 34.027 42.252 34.269 62.432 36.378 50.323 2577.964 25.401 1680 87.6 16.13 6.06747 9.94 45.31 9.85821 0.931572 74.4 74.59 6 22.79 4163.94 1.22206 4174.41 4152.91 38.82 3.40 64.38 4.31731 38.96 1268.83 1.43182 35.72 0.36 14.68 28529.22 139.13 147.68 6.41 30.8 54.93 66.8493 10.96 18.32 0.60 1283.2 64.99 13.39 5.29634 23.02 8.799 12523 42.3 9.91 1271.04 1458.7591 94.650432 1.56973 1.51 1.63 37941.04 8.42 5.96424 112.92 45.51 6.99 450.87 17.982 14.64 54.53 2.68442 24.419377 17.56 166.93109 39.409 18.019 23847.94 6757.98 68034.95 15915.97 65 143.11 14.85 16177.7 5.85962 14627.75 1.45333 101.3 1.03 0.04 0.18 0.36 56.31 34.047 41.189 34.237 62.168 36.283 50.275 2624.496 25.387 767 50.75 25.3 6.16202 10.80 46.44 10.4372 0.866963 79.81 79.7 5.64 21.64 3938.47 1.2734 3982.55 3967.53 40.22 3.43 66.49 4.18101 40.13 1284.02 1.40862 35.95 0.37 15.07 27847.64 135.83 151.21 6.45 31.51 53.78 65.8498 11.00 18.57 0.61 1262.45 65.38 13.46 5.37177 23.09 8.671 12703 42.17 10.05 1261.02 1442.5129 93.399105 1.55066 1.52 1.61 38406.12 8.45 5.8945 111.67 45.98 6.93 446.75 17.823 14.51 55 2.67326 24.240409 17.67 165.70883 39.1521 17.923 23863 6745.64 68278.48 15909.23 64.8 143.5 14.86 16188.25 5.84923 14626.61 1.45554 101.3 1.03 0.04 0.18 0.36 56.106 34.019 42.235 34.239 62.231 36.274 50.355 2560.273 25.387 OpenBenchmarking.org
spaCy Model: en_core_web_trf OpenBenchmarking.org tokens/sec, More Is Better spaCy 3.4.1 Model: en_core_web_trf A B C 400 800 1200 1600 2000 1681 1680 767
QuadRay Scene: 1 - Resolution: 1080p OpenBenchmarking.org FPS, More Is Better QuadRay 2022.05.25 Scene: 1 - Resolution: 1080p A B C 20 40 60 80 100 50.90 87.60 50.75 1. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread
QuadRay Scene: 2 - Resolution: 1080p OpenBenchmarking.org FPS, More Is Better QuadRay 2022.05.25 Scene: 2 - Resolution: 1080p A B C 6 12 18 24 30 25.89 16.13 25.30 1. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread
oneDNN Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU A B C 2 4 6 8 10 4.09764 6.06747 6.16202 MIN: 3.93 MIN: 5.88 MIN: 5.96 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
WebP2 Image Encode Encode Settings: Default OpenBenchmarking.org MP/s, More Is Better WebP2 Image Encode 20220823 Encode Settings: Default A B C 3 6 9 12 15 10.10 9.94 10.80 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
AOM AV1 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p A B C 11 22 33 44 55 48.85 45.31 46.44 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
oneDNN Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU A B C 3 6 9 12 15 9.68930 9.85821 10.43720 MIN: 8.49 MIN: 8.86 MIN: 9.17 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
oneDNN Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU A B C 0.2096 0.4192 0.6288 0.8384 1.048 0.883551 0.931572 0.866963 MIN: 0.79 MIN: 0.84 MIN: 0.78 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
AOM AV1 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p A B C 20 40 60 80 100 77.25 74.40 79.81 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p A B C 20 40 60 80 100 76.85 74.59 79.70 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
QuadRay Scene: 3 - Resolution: 4K OpenBenchmarking.org FPS, More Is Better QuadRay 2022.05.25 Scene: 3 - Resolution: 4K A B C 2 4 6 8 10 5.76 6.00 5.64 1. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread
QuadRay Scene: 3 - Resolution: 1080p OpenBenchmarking.org FPS, More Is Better QuadRay 2022.05.25 Scene: 3 - Resolution: 1080p A B C 5 10 15 20 25 21.46 22.79 21.64 1. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread
oneDNN Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU A B C 900 1800 2700 3600 4500 4146.32 4163.94 3938.47 MIN: 4119.91 MIN: 4145.12 MIN: 3919.84 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
oneDNN Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU A B C 0.2865 0.573 0.8595 1.146 1.4325 1.20598 1.22206 1.27340 MIN: 1.06 MIN: 1.07 MIN: 1.1 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
oneDNN Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU A B C 900 1800 2700 3600 4500 4138.11 4174.41 3982.55 MIN: 4108.69 MIN: 4158.57 MIN: 3964.87 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
oneDNN Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU A B C 900 1800 2700 3600 4500 4128.92 4152.91 3967.53 MIN: 4110.4 MIN: 4138.67 MIN: 3948.17 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
AOM AV1 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K A B C 9 18 27 36 45 40.15 38.82 40.22 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
WebP Image Encode Encode Settings: Quality 100, Highest Compression OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Highest Compression A B C 0.7718 1.5436 2.3154 3.0872 3.859 3.32 3.40 3.43 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
AOM AV1 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p A B C 15 30 45 60 75 65.42 64.38 66.49 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
oneDNN Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU A B C 0.9714 1.9428 2.9142 3.8856 4.857 4.24964 4.31731 4.18101 MIN: 4.15 MIN: 4.2 MIN: 4.06 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
AOM AV1 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K A B C 9 18 27 36 45 39.70 38.96 40.13 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
oneDNN Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU A B C 300 600 900 1200 1500 1246.71 1268.83 1284.02 MIN: 1225 MIN: 1249.59 MIN: 1264.3 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
oneDNN Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU A B C 0.3222 0.6444 0.9666 1.2888 1.611 1.39050 1.43182 1.40862 MIN: 1.24 MIN: 1.27 MIN: 1.25 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
AOM AV1 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p A B C 8 16 24 32 40 34.96 35.72 35.95 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K A B C 0.0833 0.1666 0.2499 0.3332 0.4165 0.37 0.36 0.37 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
AOM AV1 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K A B C 4 8 12 16 20 15.07 14.68 15.07 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
SMHasher Hash: FarmHash32 x86_64 AVX OpenBenchmarking.org MiB/sec, More Is Better SMHasher 2022-08-22 Hash: FarmHash32 x86_64 AVX A B C 6K 12K 18K 24K 30K 27816.28 28529.22 27847.64 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.3 Blend File: Pabellon Barcelona - Compute: CPU-Only A B C 30 60 90 120 150 135.75 139.13 135.83
SMHasher Hash: SHA3-256 OpenBenchmarking.org MiB/sec, More Is Better SMHasher 2022-08-22 Hash: SHA3-256 A B C 30 60 90 120 150 149.17 147.68 151.21 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
QuadRay Scene: 5 - Resolution: 1080p OpenBenchmarking.org FPS, More Is Better QuadRay 2022.05.25 Scene: 5 - Resolution: 1080p A B C 2 4 6 8 10 6.30 6.41 6.45 1. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread
AOM AV1 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K A B C 7 14 21 28 35 31.24 30.80 31.51 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.3 Blend File: Fishy Cat - Compute: CPU-Only A B C 12 24 36 48 60 53.73 54.93 53.78
OpenFOAM Input: motorBike - Execution Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: motorBike - Execution Time A B C 15 30 45 60 75 65.62 66.85 65.85 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
WebP Image Encode Encode Settings: Quality 100 OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100 A B C 3 6 9 12 15 11.15 10.96 11.00 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
TensorFlow Device: CPU - Batch Size: 512 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: ResNet-50 A B C 5 10 15 20 25 18.26 18.32 18.57
WebP Image Encode Encode Settings: Quality 100, Lossless, Highest Compression OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless, Highest Compression A B C 0.1373 0.2746 0.4119 0.5492 0.6865 0.61 0.60 0.61 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
oneDNN Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU A B C 300 600 900 1200 1500 1279.10 1283.20 1262.45 MIN: 1260.35 MIN: 1265.49 MIN: 1239.3 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
TensorFlow Device: CPU - Batch Size: 16 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: AlexNet A B C 15 30 45 60 75 64.34 64.99 65.38
TensorFlow Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: ResNet-50 A B C 3 6 9 12 15 13.25 13.39 13.46
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU A B C 1.2098 2.4196 3.6294 4.8392 6.049 5.37699 5.29634 5.37177 MIN: 5.3 MIN: 5.23 MIN: 5.29 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
AOM AV1 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K A B C 6 12 18 24 30 23.36 23.02 23.09 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
Y-Cruncher Pi Digits To Calculate: 500M OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.7.10.9513 Pi Digits To Calculate: 500M A B C 2 4 6 8 10 8.731 8.799 8.671
spaCy Model: en_core_web_lg OpenBenchmarking.org tokens/sec, More Is Better spaCy 3.4.1 Model: en_core_web_lg A B C 3K 6K 9K 12K 15K 12553 12523 12703
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.3 Blend File: BMW27 - Compute: CPU-Only A B C 10 20 30 40 50 41.71 42.30 42.17
WebP2 Image Encode Encode Settings: Quality 100, Compression Effort 5 OpenBenchmarking.org MP/s, More Is Better WebP2 Image Encode 20220823 Encode Settings: Quality 100, Compression Effort 5 A B C 3 6 9 12 15 9.97 9.91 10.05 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
oneDNN Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU A B C 300 600 900 1200 1500 1253.43 1271.04 1261.02 MIN: 1234.88 MIN: 1251.41 MIN: 1240.75 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenFOAM Input: drivaerFastback, Medium Mesh Size - Execution Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Execution Time A B C 300 600 900 1200 1500 1462.12 1458.76 1442.51 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
OpenFOAM Input: drivaerFastback, Small Mesh Size - Execution Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Execution Time A B C 20 40 60 80 100 93.88 94.65 93.40 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU A B C 0.3536 0.7072 1.0608 1.4144 1.768 1.57136 1.56973 1.55066 MIN: 1.5 MIN: 1.49 MIN: 1.48 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
WebP Image Encode Encode Settings: Quality 100, Lossless OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless A B C 0.3443 0.6886 1.0329 1.3772 1.7215 1.53 1.51 1.52 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
QuadRay Scene: 5 - Resolution: 4K OpenBenchmarking.org FPS, More Is Better QuadRay 2022.05.25 Scene: 5 - Resolution: 4K A B C 0.3668 0.7336 1.1004 1.4672 1.834 1.61 1.63 1.61 1. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread
SMHasher Hash: MeowHash x86_64 AES-NI OpenBenchmarking.org MiB/sec, More Is Better SMHasher 2022-08-22 Hash: MeowHash x86_64 AES-NI A B C 8K 16K 24K 32K 40K 38291.59 37941.04 38406.12 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
AOM AV1 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K A B C 2 4 6 8 10 8.52 8.42 8.45 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU A B C 1.342 2.684 4.026 5.368 6.71 5.95631 5.96424 5.89450 MIN: 5.79 MIN: 5.84 MIN: 5.74 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.3 Blend File: Classroom - Compute: CPU-Only A B C 30 60 90 120 150 112.24 112.92 111.67
TensorFlow Device: CPU - Batch Size: 16 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: GoogLeNet A B C 10 20 30 40 50 45.69 45.51 45.98
QuadRay Scene: 2 - Resolution: 4K OpenBenchmarking.org FPS, More Is Better QuadRay 2022.05.25 Scene: 2 - Resolution: 4K A B C 2 4 6 8 10 7.00 6.99 6.93 1. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.3 Blend File: Barbershop - Compute: CPU-Only A B C 100 200 300 400 500 448.16 450.87 446.75
Y-Cruncher Pi Digits To Calculate: 1B OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.7.10.9513 Pi Digits To Calculate: 1B A B C 4 8 12 16 20 17.99 17.98 17.82
QuadRay Scene: 1 - Resolution: 4K OpenBenchmarking.org FPS, More Is Better QuadRay 2022.05.25 Scene: 1 - Resolution: 4K A B C 4 8 12 16 20 14.58 14.64 14.51 1. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread
TensorFlow Device: CPU - Batch Size: 512 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: GoogLeNet A B C 12 24 36 48 60 54.95 54.53 55.00
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU A B C 0.6066 1.2132 1.8198 2.4264 3.033 2.69613 2.68442 2.67326 MIN: 2.63 MIN: 2.63 MIN: 2.61 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenFOAM Input: drivaerFastback, Small Mesh Size - Mesh Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Mesh Time A B C 6 12 18 24 30 24.24 24.42 24.24 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
WebP Image Encode Encode Settings: Default OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Default A B C 4 8 12 16 20 17.54 17.56 17.67 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenFOAM Input: drivaerFastback, Medium Mesh Size - Mesh Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Mesh Time A B C 40 80 120 160 200 166.21 166.93 165.71 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
OpenFOAM Input: motorBike - Mesh Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: motorBike - Mesh Time A B C 9 18 27 36 45 39.30 39.41 39.15 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
FLAC Audio Encoding WAV To FLAC OpenBenchmarking.org Seconds, Fewer Is Better FLAC Audio Encoding 1.4 WAV To FLAC A B C 4 8 12 16 20 18.04 18.02 17.92 1. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm
SMHasher Hash: wyhash OpenBenchmarking.org MiB/sec, More Is Better SMHasher 2022-08-22 Hash: wyhash A B C 5K 10K 15K 20K 25K 23742.58 23847.94 23863.00 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: fasthash32 OpenBenchmarking.org MiB/sec, More Is Better SMHasher 2022-08-22 Hash: fasthash32 A B C 1400 2800 4200 5600 7000 6723.98 6757.98 6745.64 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: t1ha0_aes_avx2 x86_64 OpenBenchmarking.org MiB/sec, More Is Better SMHasher 2022-08-22 Hash: t1ha0_aes_avx2 x86_64 A B C 15K 30K 45K 60K 75K 67943.08 68034.95 68278.48 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: t1ha2_atonce OpenBenchmarking.org MiB/sec, More Is Better SMHasher 2022-08-22 Hash: t1ha2_atonce A B C 3K 6K 9K 12K 15K 15842.58 15915.97 15909.23 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
GravityMark Resolution: 3840 x 2160 - Renderer: Vulkan OpenBenchmarking.org Frames Per Second, More Is Better GravityMark 1.72 Resolution: 3840 x 2160 - Renderer: Vulkan A B C 15 30 45 60 75 65.0 65.0 64.8
TensorFlow Device: CPU - Batch Size: 512 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: AlexNet A B C 30 60 90 120 150 143.36 143.11 143.50
AOM AV1 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p A B C 4 8 12 16 20 14.82 14.85 14.86 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
SMHasher Hash: FarmHash128 OpenBenchmarking.org MiB/sec, More Is Better SMHasher 2022-08-22 Hash: FarmHash128 A B C 3K 6K 9K 12K 15K 16150.42 16177.70 16188.25 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU A B C 1.3184 2.6368 3.9552 5.2736 6.592 5.84631 5.85962 5.84923 MIN: 4.12 MIN: 4.25 MIN: 4.37 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
SMHasher Hash: Spooky32 OpenBenchmarking.org MiB/sec, More Is Better SMHasher 2022-08-22 Hash: Spooky32 A B C 3K 6K 9K 12K 15K 14597.62 14627.75 14626.61 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU A B C 0.3276 0.6552 0.9828 1.3104 1.638 1.45583 1.45333 1.45554 MIN: 1.38 MIN: 1.38 MIN: 1.38 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
GravityMark Resolution: 1920 x 1080 - Renderer: Vulkan OpenBenchmarking.org Frames Per Second, More Is Better GravityMark 1.72 Resolution: 1920 x 1080 - Renderer: Vulkan A B C 20 40 60 80 100 101.4 101.3 101.3
AOM AV1 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.5 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p A B C 0.2318 0.4636 0.6954 0.9272 1.159 1.03 1.03 1.03 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
WebP2 Image Encode Encode Settings: Quality 100, Lossless Compression OpenBenchmarking.org MP/s, More Is Better WebP2 Image Encode 20220823 Encode Settings: Quality 100, Lossless Compression A B C 0.009 0.018 0.027 0.036 0.045 0.04 0.04 0.04 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
WebP2 Image Encode Encode Settings: Quality 95, Compression Effort 7 OpenBenchmarking.org MP/s, More Is Better WebP2 Image Encode 20220823 Encode Settings: Quality 95, Compression Effort 7 A B C 0.0405 0.081 0.1215 0.162 0.2025 0.18 0.18 0.18 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
WebP2 Image Encode Encode Settings: Quality 75, Compression Effort 7 OpenBenchmarking.org MP/s, More Is Better WebP2 Image Encode 20220823 Encode Settings: Quality 75, Compression Effort 7 A B C 0.081 0.162 0.243 0.324 0.405 0.36 0.36 0.36 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
SMHasher Hash: MeowHash x86_64 AES-NI OpenBenchmarking.org cycles/hash, Fewer Is Better SMHasher 2022-08-22 Hash: MeowHash x86_64 AES-NI A B C 13 26 39 52 65 56.32 56.31 56.11 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: t1ha0_aes_avx2 x86_64 OpenBenchmarking.org cycles/hash, Fewer Is Better SMHasher 2022-08-22 Hash: t1ha0_aes_avx2 x86_64 A B C 8 16 24 32 40 34.03 34.05 34.02 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: FarmHash32 x86_64 AVX OpenBenchmarking.org cycles/hash, Fewer Is Better SMHasher 2022-08-22 Hash: FarmHash32 x86_64 AVX A B C 10 20 30 40 50 42.25 41.19 42.24 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: t1ha2_atonce OpenBenchmarking.org cycles/hash, Fewer Is Better SMHasher 2022-08-22 Hash: t1ha2_atonce A B C 8 16 24 32 40 34.27 34.24 34.24 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: FarmHash128 OpenBenchmarking.org cycles/hash, Fewer Is Better SMHasher 2022-08-22 Hash: FarmHash128 A B C 14 28 42 56 70 62.43 62.17 62.23 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: fasthash32 OpenBenchmarking.org cycles/hash, Fewer Is Better SMHasher 2022-08-22 Hash: fasthash32 A B C 8 16 24 32 40 36.38 36.28 36.27 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: Spooky32 OpenBenchmarking.org cycles/hash, Fewer Is Better SMHasher 2022-08-22 Hash: Spooky32 A B C 11 22 33 44 55 50.32 50.28 50.36 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: SHA3-256 OpenBenchmarking.org cycles/hash, Fewer Is Better SMHasher 2022-08-22 Hash: SHA3-256 A B C 600 1200 1800 2400 3000 2577.96 2624.50 2560.27 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
SMHasher Hash: wyhash OpenBenchmarking.org cycles/hash, Fewer Is Better SMHasher 2022-08-22 Hash: wyhash A B C 6 12 18 24 30 25.40 25.39 25.39 1. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects
Phoronix Test Suite v10.8.4