Intel Xeon E E-2488 testing with a Supermicro Super Server X13SCL-F v0123456789 (1.1 BIOS) and llvmpipe on Ubuntu 22.04 via the Phoronix Test Suite.
a Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --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-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x11f - Thermald 2.4.9Python Notes: Python 3.10.12Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + 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
b c Processor: Intel Xeon E E-2488 @ 3.20GHz (8 Cores / 16 Threads), Motherboard: Supermicro Super Server X13SCL-F v0123456789 (1.1 BIOS), Chipset: Intel Device 7a27, Memory: 2 x 32GB DRAM-4400MT/s Micron MTC20C2085S1EC48BA1, Disk: 960GB Micron_7450_MTFDKBA960TFR + 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I210
OS: Ubuntu 22.04, Kernel: 6.2.0-26-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4, Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1080
df2888 OpenBenchmarking.org Phoronix Test Suite Intel Xeon E E-2488 @ 3.20GHz (8 Cores / 16 Threads) Supermicro Super Server X13SCL-F v0123456789 (1.1 BIOS) Intel Device 7a27 2 x 32GB DRAM-4400MT/s Micron MTC20C2085S1EC48BA1 960GB Micron_7450_MTFDKBA960TFR + 3201GB Micron_7450_MTFDKCC3T2TFS llvmpipe VE228 2 x Intel I210 Ubuntu 22.04 6.2.0-26-generic (x86_64) GNOME Shell 42.9 X Server 1.21.1.4 1.3.238 GCC 11.4.0 ext4 1920x1080 Processor Motherboard Chipset Memory Disk Graphics Monitor Network OS Kernel Desktop Display Server Vulkan Compiler File-System Screen Resolution Df2888 Benchmarks System Logs - Transparent Huge Pages: madvise - --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-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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 - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x11f - Thermald 2.4.9 - Python 3.10.12 - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + 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
a b c Result Overview Phoronix Test Suite 100% 101% 102% 104% 105% Timed FFmpeg Compilation x265 7-Zip Compression Neural Magic DeepSparse uvg266 SVT-VP9 SPECFEM3D SVT-HEVC NAMD ClickHouse GROMACS Timed LLVM Compilation SVT-AV1 BRL-CAD Timed Linux Kernel Compilation Timed GCC Compilation VVenC OpenVINO PostgreSQL Timed Godot Game Engine Compilation Timed Node.js Compilation Blender OpenFOAM x264
df2888 openfoam: drivaerFastback, Medium Mesh Size - Execution Time openfoam: drivaerFastback, Medium Mesh Size - Mesh Time build-linux-kernel: allmodconfig blender: Barbershop - CPU-Only build-gcc: Time To Compile build-llvm: Unix Makefiles build-llvm: Ninja pgbench: 1000 - 800 - Read Write - Average Latency pgbench: 1000 - 800 - Read Write pgbench: 1000 - 1000 - Read Write - Average Latency pgbench: 1000 - 1000 - Read Write build-nodejs: Time To Compile brl-cad: VGR Performance Metric blender: Pabellon Barcelona - CPU-Only pgbench: 1000 - 800 - Read Only - Average Latency pgbench: 1000 - 800 - Read Only pgbench: 1 - 1000 - Read Write - Average Latency pgbench: 1 - 1000 - Read Write blender: Classroom - CPU-Only build-godot: Time To Compile svt-hevc: 1 - Bosphorus 4K clickhouse: 100M Rows Hits Dataset, Third Run clickhouse: 100M Rows Hits Dataset, Second Run clickhouse: 100M Rows Hits Dataset, First Run / Cold Cache namd: STMV with 1,066,628 Atoms specfem3d: Homogeneous Halfspace openvino: Road Segmentation ADAS FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU pgbench: 1000 - 1000 - Read Only - Average Latency pgbench: 1000 - 1000 - Read Only gromacs: MPI CPU - water_GMX50_bare blender: Fishy Cat - CPU-Only openfoam: drivaerFastback, Small Mesh Size - Execution Time openfoam: drivaerFastback, Small Mesh Size - Mesh Time specfem3d: Layered Halfspace specfem3d: Water-layered Halfspace pgbench: 100 - 1000 - Read Only - Average Latency pgbench: 100 - 1000 - Read Only pgbench: 100 - 1000 - Read Write - Average Latency pgbench: 100 - 1000 - Read Write pgbench: 100 - 800 - Read Only - Average Latency pgbench: 100 - 800 - Read Only pgbench: 100 - 800 - Read Write - Average Latency pgbench: 100 - 800 - Read Write pgbench: 1 - 800 - Read Write - Average Latency pgbench: 1 - 800 - Read Write pgbench: 1 - 800 - Read Only - Average Latency pgbench: 1 - 800 - Read Only pgbench: 1 - 1000 - Read Only - Average Latency pgbench: 1 - 1000 - Read Only blender: BMW27 - CPU-Only vvenc: Bosphorus 4K - Fast uvg266: Bosphorus 4K - Slow build-linux-kernel: defconfig uvg266: Bosphorus 4K - Medium deepsparse: ResNet-50, Sparse INT8 - Synchronous Single-Stream deepsparse: ResNet-50, Sparse INT8 - Synchronous Single-Stream specfem3d: Mount St. Helens namd: ATPase with 327,506 Atoms openvino: Face Detection FP16 - CPU openvino: Face Detection FP16 - CPU svt-hevc: 1 - Bosphorus 1080p openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Person Detection FP32 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Noise Suppression Poconet-Like FP16 - CPU openvino: Noise Suppression Poconet-Like FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Re-Identification Retail FP16 - CPU openvino: Person Re-Identification Retail FP16 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU specfem3d: Tomographic Model vvenc: Bosphorus 4K - Faster vvenc: Bosphorus 1080p - Faster deepsparse: Llama2 Chat 7b Quantized - Asynchronous Multi-Stream deepsparse: Llama2 Chat 7b Quantized - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream deepsparse: Llama2 Chat 7b Quantized - Synchronous Single-Stream deepsparse: Llama2 Chat 7b Quantized - Synchronous Single-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Synchronous Single-Stream deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Synchronous Single-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Synchronous Single-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Synchronous Single-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream build-ffmpeg: Time To Compile deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Stream deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Stream vvenc: Bosphorus 1080p - Fast deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream svt-av1: Preset 4 - Bosphorus 4K deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Synchronous Single-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Synchronous Single-Stream deepsparse: ResNet-50, Baseline - Synchronous Single-Stream deepsparse: ResNet-50, Baseline - Synchronous Single-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream svt-av1: Preset 4 - Bosphorus 1080p uvg266: Bosphorus 4K - Very Fast x265: Bosphorus 4K uvg266: Bosphorus 4K - Super Fast svt-vp9: PSNR/SSIM Optimized - Bosphorus 4K uvg266: Bosphorus 4K - Ultra Fast x265: Bosphorus 1080p compress-7zip: Decompression Rating compress-7zip: Compression Rating uvg266: Bosphorus 1080p - Very Fast svt-av1: Preset 12 - Bosphorus 4K svt-av1: Preset 13 - Bosphorus 4K svt-hevc: 10 - Bosphorus 4K x264: Bosphorus 4K uvg266: Bosphorus 1080p - Slow svt-av1: Preset 8 - Bosphorus 4K uvg266: Bosphorus 1080p - Super Fast uvg266: Bosphorus 1080p - Medium x264: Bosphorus 1080p svt-hevc: 7 - Bosphorus 1080p svt-hevc: 7 - Bosphorus 4K svt-vp9: Visual Quality Optimized - Bosphorus 4K svt-vp9: VMAF Optimized - Bosphorus 4K uvg266: Bosphorus 1080p - Ultra Fast svt-av1: Preset 8 - Bosphorus 1080p svt-vp9: Visual Quality Optimized - Bosphorus 1080p svt-vp9: VMAF Optimized - Bosphorus 1080p svt-vp9: PSNR/SSIM Optimized - Bosphorus 1080p svt-hevc: 10 - Bosphorus 1080p svt-av1: Preset 12 - Bosphorus 1080p svt-av1: Preset 13 - Bosphorus 1080p a b c 2182.8387 221.90624 1311.874 1297.10 791.266 646.617 636.000 29.105 27541 39.725 25189 523.986 189384 414.01 1.292 619738 575.609 1743 336.83 307.115 2.38 243.23 234.71 226.10 0.20937 72.924666914 44.80 89.40 1.668 599514 1.387 165.95 226.48329 30.329564 150.981664264 139.210042618 1.411 708887 33.396 29945 0.952 840809 22.875 34974 341.052 2347 0.828 965813 1.164 859514 123.52 4.954 5.97 91.850 6.68 1.4926 667.9930 56.754686087 0.67208 1495.10 2.68 9.54 371.82 10.74 118.74 33.68 140.16 28.53 137.85 29.01 38.04 210.19 15.19 524.22 10.38 384.90 18.18 439.76 43.92 182.10 52.04 153.66 16.08 497.27 4.89 1634.31 29.22 273.62 16.60 240.78 9.88 808.93 7.68 1040.68 0.36 21990.19 0.93 8563.76 56.661658371 11.604 40.203 781.1195 5.0711 11.9383 334.7119 124.6195 8.0234 109.8318 9.1063 3.8825 257.3317 9.8776 101.1551 26.4927 150.8967 362.2743 11.0411 446.5887 8.9566 42.186 445.6402 8.9756 111.0630 9.0036 95.4447 10.4758 15.448 51.3204 77.9417 4.9727 802.0740 14.8283 67.4313 4.354 72.6309 55.0641 36.5726 109.3383 36.5959 109.2700 19.2342 51.9778 10.2695 97.3359 10.2713 97.3178 16.226 19.31 19.48 20.31 83.76 24.89 84.85 65180 95609 91.58 105.783 106.953 103.05 31.00 32.90 35.471 98.26 37.15 155.70 171.89 48.38 59.67 81.76 120.88 136.088 224.63 281.08 291.27 381.27 532.480 644.281 2184.3425 222.69332 1308.543 1298.17 790.868 639.853 629.47 30.795 25978 40.434 24732 522.107 187148 413.66 1.36 588199 541.625 1846 335.62 306.656 2.37 239.55 240.38 226.19 0.20927 72.258061548 39.65 100.83 1.721 581001 1.406 165.79 226.11103 30.018778 151.953370514 139.330302737 1.386 721517 33.509 29843 0.948 844015 23.268 34383 357.811 2236 0.742 1078377 1.108 902210 122.72 4.946 5.98 90.493 6.68 1.4802 673.153 57.06725562 0.66733 1502.55 2.66 9.59 374.64 10.67 118.68 33.7 137.62 29.06 135.48 29.5 37.5 213.22 15.09 527.54 10.42 383.45 18.17 439.93 43.88 182.21 51.83 154.28 16.01 499.46 4.88 1639.46 29.35 272.46 16.69 239.55 10.06 794.56 7.71 1036.69 0.36 21792.13 0.93 8538.59 56.610690744 11.696 40.747 775.7596 5.1063 11.7243 340.8214 124.4719 8.0329 106.197 9.416 3.8228 261.2692 9.7105 102.886 25.5887 156.2254 355.527 11.2502 419.6025 9.5325 40.222 442.9028 9.0311 106.5821 9.3819 93.8454 10.6542 15.566 50.2554 79.5793 4.9012 813.7336 14.5507 68.7072 4.336 71.699 55.779 35.5844 112.3758 35.3948 112.9777 18.5538 53.8839 10.021 99.7371 10.0601 99.3272 15.721 19.23 19.5 20.9 89.47 24.72 91.03 67934 96616 98.64 117.032 109.008 101.69 30.62 32.49 36.024 108.39 36.75 157.78 166.2 50.98 65.11 80.44 126.91 135.705 225.96 274.27 291.65 381.92 531.906 644.756 2183.0958 222.19301 1308.925 1294.72 789.594 643.708 630.041 27.889 28685 43.37 23058 523.423 188833 413.87 1.345 594778 551.009 1815 336.08 304.582 2.37 238.31 237.98 218.80 0.20601 71.570884588 45.87 87.16 1.734 576586 1.403 165.05 226.41739 30.039036 144.466011134 138.254375202 1.431 699050 33.156 30160 1.009 793236 23.546 33976 331.592 2413 0.756 1057878 1.171 853917 122.81 4.952 5.98 90.505 6.71 1.4665 679.2809 56.143192728 0.65683 1499.57 2.66 9.65 370.27 10.79 119.45 33.48 133.88 29.87 138.64 28.85 37.82 211.43 15.11 527.2 10.43 383.23 18.24 438.29 44.09 181.39 51.99 153.81 16 499.92 4.88 1636.64 29.37 272.25 16.57 241.22 9.78 817.16 7.6 1051.22 0.36 21757.77 0.94 8495.04 55.574675863 11.65 39.798 776.8313 5.0995 11.9559 334.2017 124.5537 8.0276 111.0589 9.0038 3.8275 260.9555 9.7892 102.0626 26.3635 151.6354 356.2134 11.2285 441.6892 9.0559 40.383 439.8417 9.0939 111.3107 8.9835 93.6568 10.6756 15.494 50.3829 79.3779 4.7965 831.5443 14.5577 68.672 4.367 72.7313 54.9875 36.1354 110.6628 36.6494 109.1097 18.6283 53.6674 10.0455 99.4907 10.0553 99.3939 15.815 19.27 19.63 20.26 88.88 24.6 89.72 67334 96892 96.72 110.569 113.63 105.17 31.63 32.94 36.156 104.61 36.9 152.15 185.24 49.07 66.15 80.61 122.28 124.188 224.72 274.48 292.25 382.17 532.511 644.695 OpenBenchmarking.org
OpenFOAM OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Execution Time a c b 500 1000 1500 2000 2500 2182.84 2183.10 2184.34 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Mesh Time a c b 50 100 150 200 250 221.91 222.19 222.69 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm
Blender Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Barbershop - Compute: CPU-Only c a b 300 600 900 1200 1500 SE +/- 0.90, N = 3 1294.72 1297.10 1298.17
PostgreSQL This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 1000 - Clients: 800 - Mode: Read Write - Average Latency c a b 7 14 21 28 35 SE +/- 0.39, N = 12 27.89 29.11 30.80 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata
OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 1000 - Clients: 800 - Mode: Read Write c a b 6K 12K 18K 24K 30K SE +/- 372.60, N = 12 28685 27541 25978 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 1000 - Clients: 1000 - Mode: Read Write - Average Latency a b c 10 20 30 40 50 SE +/- 0.30, N = 12 39.73 40.43 43.37 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata
OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 1000 - Clients: 1000 - Mode: Read Write a b c 5K 10K 15K 20K 25K SE +/- 190.45, N = 12 25189 24732 23058 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata
BRL-CAD BRL-CAD is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.38.2 VGR Performance Metric a c b 40K 80K 120K 160K 200K 189384 188833 187148 1. (CXX) g++ options: -std=c++17 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lnetpbm -lregex_brl -lz_brl -lassimp -ldl -lm -ltk8.6
Blender Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Pabellon Barcelona - Compute: CPU-Only b c a 90 180 270 360 450 SE +/- 0.40, N = 3 413.66 413.87 414.01
PostgreSQL This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 1000 - Clients: 800 - Mode: Read Only - Average Latency a c b 0.306 0.612 0.918 1.224 1.53 SE +/- 0.011, N = 9 1.292 1.345 1.360 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata
OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 1000 - Clients: 800 - Mode: Read Only a c b 130K 260K 390K 520K 650K SE +/- 5061.88, N = 9 619738 594778 588199 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 1 - Clients: 1000 - Mode: Read Write - Average Latency b c a 120 240 360 480 600 SE +/- 10.12, N = 12 541.63 551.01 575.61 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata
OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 1 - Clients: 1000 - Mode: Read Write b c a 400 800 1200 1600 2000 SE +/- 28.21, N = 12 1846 1815 1743 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata
Blender Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Classroom - Compute: CPU-Only b c a 70 140 210 280 350 SE +/- 0.33, N = 3 335.62 336.08 336.83
SVT-HEVC This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 4K a c b 0.5355 1.071 1.6065 2.142 2.6775 SE +/- 0.00, N = 3 2.38 2.37 2.37 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
ClickHouse ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, Third Run a b c 50 100 150 200 250 SE +/- 1.48, N = 3 243.23 239.55 238.31 MIN: 9.39 / MAX: 10000 MIN: 9.46 / MAX: 10000 MIN: 9.23 / MAX: 8571.43
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, Second Run b c a 50 100 150 200 250 SE +/- 0.63, N = 3 240.38 237.98 234.71 MIN: 9.44 / MAX: 12000 MIN: 9.26 / MAX: 8571.43 MIN: 9.36 / MAX: 10000
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, First Run / Cold Cache b a c 50 100 150 200 250 SE +/- 0.26, N = 3 226.19 226.10 218.80 MIN: 9.16 / MAX: 8571.43 MIN: 9.15 / MAX: 10000 MIN: 9.11 / MAX: 10000
NAMD NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ns/day, More Is Better NAMD 3.0b6 Input: STMV with 1,066,628 Atoms a b c 0.0471 0.0942 0.1413 0.1884 0.2355 SE +/- 0.00013, N = 3 0.20937 0.20927 0.20601
SPECFEM3D simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Homogeneous Halfspace c b a 16 32 48 64 80 SE +/- 1.31, N = 12 71.57 72.26 72.92 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Road Segmentation ADAS FP16 - Device: CPU b a c 10 20 30 40 50 SE +/- 0.49, N = 15 39.65 44.80 45.87 MIN: 31.4 / MAX: 49.78 MIN: 17.6 / MAX: 66.04 MIN: 28.97 / MAX: 51.94 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Road Segmentation ADAS FP16 - Device: CPU b a c 20 40 60 80 100 SE +/- 1.01, N = 15 100.83 89.40 87.16 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
PostgreSQL This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 1000 - Clients: 1000 - Mode: Read Only - Average Latency a b c 0.3902 0.7804 1.1706 1.5608 1.951 SE +/- 0.016, N = 3 1.668 1.721 1.734 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata
OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 1000 - Clients: 1000 - Mode: Read Only a b c 130K 260K 390K 520K 650K SE +/- 5543.80, N = 3 599514 581001 576586 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata
GROMACS The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2024 Implementation: MPI CPU - Input: water_GMX50_bare b c a 0.3164 0.6328 0.9492 1.2656 1.582 SE +/- 0.015, N = 5 1.406 1.403 1.387 1. (CXX) g++ options: -O3 -lm
Blender Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Fishy Cat - Compute: CPU-Only c b a 40 80 120 160 200 SE +/- 0.37, N = 3 165.05 165.79 165.95
OpenFOAM OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Execution Time b c a 50 100 150 200 250 226.11 226.42 226.48 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm
OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Mesh Time b c a 7 14 21 28 35 30.02 30.04 30.33 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm
SPECFEM3D simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Layered Halfspace c a b 30 60 90 120 150 SE +/- 1.25, N = 3 144.47 150.98 151.95 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Water-layered Halfspace c a b 30 60 90 120 150 SE +/- 0.57, N = 3 138.25 139.21 139.33 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
PostgreSQL This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency b a c 0.322 0.644 0.966 1.288 1.61 SE +/- 0.016, N = 3 1.386 1.411 1.431 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata
OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only b a c 150K 300K 450K 600K 750K SE +/- 8095.75, N = 3 721517 708887 699050 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency c a b 8 16 24 32 40 SE +/- 0.14, N = 3 33.16 33.40 33.51 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata
OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write c a b 6K 12K 18K 24K 30K SE +/- 122.20, N = 3 30160 29945 29843 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency b a c 0.227 0.454 0.681 0.908 1.135 SE +/- 0.010, N = 3 0.948 0.952 1.009 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata
OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Only b a c 200K 400K 600K 800K 1000K SE +/- 8610.85, N = 3 844015 840809 793236 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency a b c 6 12 18 24 30 SE +/- 0.06, N = 3 22.88 23.27 23.55 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata
OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 800 - Mode: Read Write a b c 7K 14K 21K 28K 35K SE +/- 96.04, N = 3 34974 34383 33976 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 1 - Clients: 800 - Mode: Read Write - Average Latency c a b 80 160 240 320 400 SE +/- 4.95, N = 3 331.59 341.05 357.81 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata
OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 1 - Clients: 800 - Mode: Read Write c a b 500 1000 1500 2000 2500 SE +/- 33.78, N = 3 2413 2347 2236 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 1 - Clients: 800 - Mode: Read Only - Average Latency b c a 0.1863 0.3726 0.5589 0.7452 0.9315 SE +/- 0.002, N = 3 0.742 0.756 0.828 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata
OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 1 - Clients: 800 - Mode: Read Only b c a 200K 400K 600K 800K 1000K SE +/- 2188.42, N = 3 1078377 1057878 965813 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL 16 Scaling Factor: 1 - Clients: 1000 - Mode: Read Only - Average Latency b a c 0.2635 0.527 0.7905 1.054 1.3175 SE +/- 0.010, N = 3 1.108 1.164 1.171 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata
OpenBenchmarking.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 1 - Clients: 1000 - Mode: Read Only b a c 200K 400K 600K 800K 1000K SE +/- 6896.35, N = 3 902210 859514 853917 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lm -licui18n -licuuc -licudata
Blender Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: BMW27 - Compute: CPU-Only b c a 30 60 90 120 150 SE +/- 0.23, N = 3 122.72 122.81 123.52
VVenC VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.11 Video Input: Bosphorus 4K - Video Preset: Fast a c b 1.1147 2.2294 3.3441 4.4588 5.5735 SE +/- 0.024, N = 3 4.954 4.952 4.946 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
SPECFEM3D simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Mount St. Helens c a b 13 26 39 52 65 SE +/- 0.60, N = 5 56.14 56.75 57.07 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
NAMD NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ns/day, More Is Better NAMD 3.0b6 Input: ATPase with 327,506 Atoms a b c 0.1512 0.3024 0.4536 0.6048 0.756 SE +/- 0.00274, N = 3 0.67208 0.66733 0.65683
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Face Detection FP16 - Device: CPU a c b 300 600 900 1200 1500 SE +/- 5.23, N = 3 1495.10 1499.57 1502.55 MIN: 1179.18 / MAX: 1678.08 MIN: 1217.27 / MAX: 1680.47 MIN: 1181.84 / MAX: 1684.45 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Face Detection FP16 - Device: CPU a c b 0.603 1.206 1.809 2.412 3.015 SE +/- 0.01, N = 3 2.68 2.66 2.66 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
SVT-HEVC This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 1080p c b a 3 6 9 12 15 SE +/- 0.03, N = 3 9.65 9.59 9.54 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Face Detection FP16-INT8 - Device: CPU c a b 80 160 240 320 400 SE +/- 1.42, N = 3 370.27 371.82 374.64 MIN: 284.02 / MAX: 518.25 MIN: 283.89 / MAX: 476.9 MIN: 283.87 / MAX: 471.9 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Face Detection FP16-INT8 - Device: CPU c a b 3 6 9 12 15 SE +/- 0.05, N = 3 10.79 10.74 10.67 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Machine Translation EN To DE FP16 - Device: CPU b a c 30 60 90 120 150 SE +/- 0.23, N = 3 118.68 118.74 119.45 MIN: 90.15 / MAX: 196.79 MIN: 92.44 / MAX: 207.3 MIN: 92.57 / MAX: 198.03 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Machine Translation EN To DE FP16 - Device: CPU b a c 8 16 24 32 40 SE +/- 0.06, N = 3 33.70 33.68 33.48 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Person Detection FP32 - Device: CPU c b a 30 60 90 120 150 SE +/- 0.35, N = 3 133.88 137.62 140.16 MIN: 115.87 / MAX: 217.54 MIN: 115.29 / MAX: 146.55 MIN: 114.55 / MAX: 222.64 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Person Detection FP32 - Device: CPU c b a 7 14 21 28 35 SE +/- 0.07, N = 3 29.87 29.06 28.53 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Person Detection FP16 - Device: CPU b a c 30 60 90 120 150 SE +/- 1.56, N = 3 135.48 137.85 138.64 MIN: 115.39 / MAX: 224.16 MIN: 112.51 / MAX: 221.34 MIN: 114.61 / MAX: 225.73 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Person Detection FP16 - Device: CPU b a c 7 14 21 28 35 SE +/- 0.32, N = 3 29.50 29.01 28.85 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU b c a 9 18 27 36 45 SE +/- 0.13, N = 3 37.50 37.82 38.04 MIN: 26.78 / MAX: 87.54 MIN: 21.82 / MAX: 84.8 MIN: 21.24 / MAX: 90.73 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU b c a 50 100 150 200 250 SE +/- 0.70, N = 3 213.22 211.43 210.19 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Noise Suppression Poconet-Like FP16 - Device: CPU b c a 4 8 12 16 20 SE +/- 0.03, N = 3 15.09 15.11 15.19 MIN: 9.56 / MAX: 53.46 MIN: 10.08 / MAX: 54.61 MIN: 9.31 / MAX: 55.49 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Noise Suppression Poconet-Like FP16 - Device: CPU b c a 110 220 330 440 550 SE +/- 0.86, N = 3 527.54 527.20 524.22 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Person Vehicle Bike Detection FP16 - Device: CPU a b c 3 6 9 12 15 SE +/- 0.01, N = 3 10.38 10.42 10.43 MIN: 6.09 / MAX: 31.65 MIN: 6.07 / MAX: 30.65 MIN: 7.42 / MAX: 34.61 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Person Vehicle Bike Detection FP16 - Device: CPU a b c 80 160 240 320 400 SE +/- 0.46, N = 3 384.90 383.45 383.23 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Person Re-Identification Retail FP16 - Device: CPU b a c 4 8 12 16 20 SE +/- 0.03, N = 3 18.17 18.18 18.24 MIN: 9.62 / MAX: 52.96 MIN: 9.82 / MAX: 46.59 MIN: 9.91 / MAX: 48.24 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Person Re-Identification Retail FP16 - Device: CPU b a c 100 200 300 400 500 SE +/- 0.80, N = 3 439.93 439.76 438.29 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Handwritten English Recognition FP16-INT8 - Device: CPU b a c 10 20 30 40 50 SE +/- 0.23, N = 3 43.88 43.92 44.09 MIN: 32.8 / MAX: 111.1 MIN: 32.41 / MAX: 102.38 MIN: 32.81 / MAX: 104.25 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Handwritten English Recognition FP16-INT8 - Device: CPU b a c 40 80 120 160 200 SE +/- 0.96, N = 3 182.21 182.10 181.39 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Handwritten English Recognition FP16 - Device: CPU b c a 12 24 36 48 60 SE +/- 0.22, N = 3 51.83 51.99 52.04 MIN: 39.59 / MAX: 122.23 MIN: 39.27 / MAX: 121.44 MIN: 38.84 / MAX: 116.68 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Handwritten English Recognition FP16 - Device: CPU b c a 30 60 90 120 150 SE +/- 0.64, N = 3 154.28 153.81 153.66 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Vehicle Detection FP16-INT8 - Device: CPU c b a 4 8 12 16 20 SE +/- 0.08, N = 3 16.00 16.01 16.08 MIN: 10.21 / MAX: 59.04 MIN: 10.53 / MAX: 53.92 MIN: 10.36 / MAX: 57.94 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Vehicle Detection FP16-INT8 - Device: CPU c b a 110 220 330 440 550 SE +/- 2.47, N = 3 499.92 499.46 497.27 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Face Detection Retail FP16-INT8 - Device: CPU b c a 1.1003 2.2006 3.3009 4.4012 5.5015 SE +/- 0.02, N = 3 4.88 4.88 4.89 MIN: 3.54 / MAX: 21.77 MIN: 3.52 / MAX: 27.88 MIN: 3.4 / MAX: 23.02 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Face Detection Retail FP16-INT8 - Device: CPU b c a 400 800 1200 1600 2000 SE +/- 5.93, N = 3 1639.46 1636.64 1634.31 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Weld Porosity Detection FP16 - Device: CPU a b c 7 14 21 28 35 SE +/- 0.09, N = 3 29.22 29.35 29.37 MIN: 15.45 / MAX: 72.82 MIN: 15.67 / MAX: 72.92 MIN: 15.64 / MAX: 69.57 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Weld Porosity Detection FP16 - Device: CPU a b c 60 120 180 240 300 SE +/- 0.87, N = 3 273.62 272.46 272.25 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Vehicle Detection FP16 - Device: CPU c a b 4 8 12 16 20 SE +/- 0.04, N = 3 16.57 16.60 16.69 MIN: 7.95 / MAX: 34.05 MIN: 8.7 / MAX: 42.87 MIN: 11.64 / MAX: 52.91 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Vehicle Detection FP16 - Device: CPU c a b 50 100 150 200 250 SE +/- 0.65, N = 3 241.22 240.78 239.55 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Face Detection Retail FP16 - Device: CPU c a b 3 6 9 12 15 SE +/- 0.11, N = 3 9.78 9.88 10.06 MIN: 6.25 / MAX: 37.55 MIN: 5.09 / MAX: 39.75 MIN: 4.92 / MAX: 36.16 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Face Detection Retail FP16 - Device: CPU c a b 200 400 600 800 1000 SE +/- 9.03, N = 3 817.16 808.93 794.56 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Weld Porosity Detection FP16-INT8 - Device: CPU c a b 2 4 6 8 10 SE +/- 0.03, N = 3 7.60 7.68 7.71 MIN: 5.3 / MAX: 31.74 MIN: 4.73 / MAX: 36.9 MIN: 4.97 / MAX: 32.25 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Weld Porosity Detection FP16-INT8 - Device: CPU c a b 200 400 600 800 1000 SE +/- 3.64, N = 3 1051.22 1040.68 1036.69 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU a b c 0.081 0.162 0.243 0.324 0.405 SE +/- 0.00, N = 3 0.36 0.36 0.36 MIN: 0.19 / MAX: 8.34 MIN: 0.21 / MAX: 7.95 MIN: 0.19 / MAX: 8.1 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU a b c 5K 10K 15K 20K 25K SE +/- 20.16, N = 3 21990.19 21792.13 21757.77 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU a b c 0.2115 0.423 0.6345 0.846 1.0575 SE +/- 0.00, N = 3 0.93 0.93 0.94 MIN: 0.5 / MAX: 10.02 MIN: 0.55 / MAX: 9.6 MIN: 0.57 / MAX: 17.21 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU a b c 2K 4K 6K 8K 10K SE +/- 16.19, N = 3 8563.76 8538.59 8495.04 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
SPECFEM3D simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Tomographic Model c b a 13 26 39 52 65 SE +/- 0.29, N = 3 55.57 56.61 56.66 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
VVenC VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.11 Video Input: Bosphorus 4K - Video Preset: Faster b c a 3 6 9 12 15 SE +/- 0.01, N = 3 11.70 11.65 11.60 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.11 Video Input: Bosphorus 1080p - Video Preset: Faster b a c 9 18 27 36 45 SE +/- 0.28, N = 15 40.75 40.20 39.80 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.7 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream b c a 0.8736 1.7472 2.6208 3.4944 4.368 SE +/- 0.0378, N = 3 3.8228 3.8275 3.8825
VVenC VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.11 Video Input: Bosphorus 1080p - Video Preset: Fast b c a 4 8 12 16 20 SE +/- 0.04, N = 3 15.57 15.49 15.45 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
SVT-AV1 This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.0 Encoder Mode: Preset 4 - Input: Bosphorus 4K c a b 0.9826 1.9652 2.9478 3.9304 4.913 SE +/- 0.009, N = 3 4.367 4.354 4.336 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.0 Encoder Mode: Preset 4 - Input: Bosphorus 1080p a c b 4 8 12 16 20 SE +/- 0.12, N = 15 16.23 15.82 15.72 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K b c a 20 40 60 80 100 SE +/- 0.78, N = 15 89.47 88.88 83.76 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
SVT-AV1 This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.0 Encoder Mode: Preset 12 - Input: Bosphorus 4K b c a 30 60 90 120 150 SE +/- 0.98, N = 15 117.03 110.57 105.78 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.0 Encoder Mode: Preset 13 - Input: Bosphorus 4K c b a 30 60 90 120 150 SE +/- 1.39, N = 15 113.63 109.01 106.95 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-HEVC This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 4K c a b 20 40 60 80 100 SE +/- 1.12, N = 14 105.17 103.05 101.69 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
SVT-AV1 This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.0 Encoder Mode: Preset 8 - Input: Bosphorus 4K c b a 8 16 24 32 40 SE +/- 0.15, N = 3 36.16 36.02 35.47 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Medium a c b 9 18 27 36 45 SE +/- 0.23, N = 3 37.15 36.90 36.75
SVT-HEVC This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 1080p c a b 40 80 120 160 200 SE +/- 3.25, N = 15 185.24 171.89 166.20 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 4K b c a 12 24 36 48 60 SE +/- 0.07, N = 3 50.98 49.07 48.38 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 4K c b a 15 30 45 60 75 SE +/- 0.69, N = 3 66.15 65.11 59.67 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 4K a c b 20 40 60 80 100 SE +/- 0.99, N = 4 81.76 80.61 80.44 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
SVT-AV1 This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.0 Encoder Mode: Preset 8 - Input: Bosphorus 1080p a b c 30 60 90 120 150 SE +/- 0.21, N = 3 136.09 135.71 124.19 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p b c a 50 100 150 200 250 SE +/- 0.62, N = 3 225.96 224.72 224.63 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 1080p a c b 60 120 180 240 300 SE +/- 4.04, N = 3 281.08 274.48 274.27 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p c b a 60 120 180 240 300 SE +/- 0.30, N = 3 292.25 291.65 291.27 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
SVT-HEVC This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 1080p c b a 80 160 240 320 400 SE +/- 0.21, N = 3 382.17 381.92 381.27 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
SVT-AV1 This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.0 Encoder Mode: Preset 12 - Input: Bosphorus 1080p c a b 120 240 360 480 600 SE +/- 1.61, N = 3 532.51 532.48 531.91 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.0 Encoder Mode: Preset 13 - Input: Bosphorus 1080p b c a 140 280 420 560 700 SE +/- 0.52, N = 3 644.76 644.70 644.28 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
a Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --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-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x11f - Thermald 2.4.9Python Notes: Python 3.10.12Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + 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
Testing initiated at 22 March 2024 18:52 by user phoronix.
b Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --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-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x11f - Thermald 2.4.9Python Notes: Python 3.10.12Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + 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
Testing initiated at 23 March 2024 13:22 by user phoronix.
c Processor: Intel Xeon E E-2488 @ 3.20GHz (8 Cores / 16 Threads), Motherboard: Supermicro Super Server X13SCL-F v0123456789 (1.1 BIOS), Chipset: Intel Device 7a27, Memory: 2 x 32GB DRAM-4400MT/s Micron MTC20C2085S1EC48BA1, Disk: 960GB Micron_7450_MTFDKBA960TFR + 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I210
OS: Ubuntu 22.04, Kernel: 6.2.0-26-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4, Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --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-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x11f - Thermald 2.4.9Python Notes: Python 3.10.12Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + 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
Testing initiated at 23 March 2024 18:25 by user phoronix.