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 openvino: Face Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Noise Suppression Poconet-Like FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Person Re-Identification Retail FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU svt-av1: Preset 4 - Bosphorus 4K svt-av1: Preset 8 - Bosphorus 4K svt-av1: Preset 12 - Bosphorus 4K svt-av1: Preset 13 - Bosphorus 4K svt-av1: Preset 4 - Bosphorus 1080p svt-av1: Preset 8 - Bosphorus 1080p svt-av1: Preset 12 - Bosphorus 1080p svt-av1: Preset 13 - Bosphorus 1080p svt-hevc: 1 - Bosphorus 4K svt-hevc: 7 - Bosphorus 4K svt-hevc: 10 - Bosphorus 4K svt-hevc: 1 - Bosphorus 1080p svt-hevc: 7 - Bosphorus 1080p svt-hevc: 10 - Bosphorus 1080p svt-vp9: VMAF Optimized - Bosphorus 4K svt-vp9: VMAF Optimized - Bosphorus 1080p svt-vp9: PSNR/SSIM Optimized - Bosphorus 4K svt-vp9: PSNR/SSIM Optimized - Bosphorus 1080p svt-vp9: Visual Quality Optimized - Bosphorus 4K svt-vp9: Visual Quality Optimized - Bosphorus 1080p uvg266: Bosphorus 4K - Slow uvg266: Bosphorus 4K - Medium uvg266: Bosphorus 1080p - Slow uvg266: Bosphorus 1080p - Medium uvg266: Bosphorus 4K - Very Fast uvg266: Bosphorus 4K - Super Fast uvg266: Bosphorus 4K - Ultra Fast uvg266: Bosphorus 1080p - Very Fast uvg266: Bosphorus 1080p - Super Fast uvg266: Bosphorus 1080p - Ultra Fast vvenc: Bosphorus 4K - Fast vvenc: Bosphorus 4K - Faster vvenc: Bosphorus 1080p - Fast vvenc: Bosphorus 1080p - Faster x264: Bosphorus 4K x264: Bosphorus 1080p x265: Bosphorus 4K x265: Bosphorus 1080p deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Stream deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Synchronous Single-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Synchronous Single-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Synchronous Single-Stream deepsparse: Llama2 Chat 7b Quantized - Asynchronous Multi-Stream deepsparse: Llama2 Chat 7b Quantized - Synchronous Single-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Synchronous Single-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Synchronous Single-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream compress-7zip: Compression Rating compress-7zip: Decompression Rating gromacs: MPI CPU - water_GMX50_bare namd: ATPase with 327,506 Atoms namd: STMV with 1,066,628 Atoms clickhouse: 100M Rows Hits Dataset, First Run / Cold Cache clickhouse: 100M Rows Hits Dataset, Second Run clickhouse: 100M Rows Hits Dataset, Third Run pgbench: 1 - 800 - Read Only pgbench: 1 - 1000 - Read Only pgbench: 1 - 800 - Read Write pgbench: 1 - 1000 - Read Write pgbench: 100 - 800 - Read Only pgbench: 100 - 1000 - Read Only pgbench: 100 - 800 - Read Write pgbench: 1000 - 800 - Read Only pgbench: 100 - 1000 - Read Write pgbench: 1000 - 1000 - Read Only pgbench: 1000 - 800 - Read Write pgbench: 1000 - 1000 - Read Write brl-cad: VGR Performance Metric pgbench: 1 - 800 - Read Only - Average Latency pgbench: 1 - 1000 - Read Only - Average Latency pgbench: 1 - 800 - Read Write - Average Latency pgbench: 1 - 1000 - Read Write - Average Latency pgbench: 100 - 800 - Read Only - Average Latency pgbench: 100 - 1000 - Read Only - Average Latency pgbench: 100 - 800 - Read Write - Average Latency pgbench: 1000 - 800 - Read Only - Average Latency pgbench: 100 - 1000 - Read Write - Average Latency pgbench: 1000 - 1000 - Read Only - Average Latency pgbench: 1000 - 800 - Read Write - Average Latency pgbench: 1000 - 1000 - Read Write - Average Latency openvino: Face Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Noise Suppression Poconet-Like FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Person Re-Identification Retail FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Stream deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Synchronous Single-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Synchronous Single-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Synchronous Single-Stream deepsparse: Llama2 Chat 7b Quantized - Asynchronous Multi-Stream deepsparse: Llama2 Chat 7b Quantized - Synchronous Single-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Synchronous Single-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Synchronous Single-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream openfoam: drivaerFastback, Small Mesh Size - Mesh Time openfoam: drivaerFastback, Small Mesh Size - Execution Time openfoam: drivaerFastback, Medium Mesh Size - Mesh Time openfoam: drivaerFastback, Medium Mesh Size - Execution Time specfem3d: Mount St. Helens specfem3d: Layered Halfspace specfem3d: Tomographic Model specfem3d: Homogeneous Halfspace specfem3d: Water-layered Halfspace build-ffmpeg: Time To Compile build-gcc: Time To Compile build-godot: Time To Compile build-linux-kernel: defconfig build-linux-kernel: allmodconfig build-llvm: Ninja build-llvm: Unix Makefiles build-nodejs: Time To Compile blender: BMW27 - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Barbershop - CPU-Only blender: Pabellon Barcelona - CPU-Only a b c 2.68 29.01 28.53 240.78 10.74 808.93 89.40 497.27 273.62 1634.31 210.19 33.68 1040.68 384.90 524.22 153.66 439.76 8563.76 182.10 21990.19 4.354 35.471 105.783 106.953 16.226 136.088 532.480 644.281 2.38 48.38 103.05 9.54 171.89 381.27 81.76 281.08 83.76 291.27 59.67 224.63 5.97 6.68 32.90 37.15 19.31 20.31 24.89 91.58 98.26 120.88 4.954 11.604 15.448 40.203 31.00 155.70 19.48 84.85 8.9566 9.0036 334.7119 257.3317 109.3383 97.3359 802.0740 667.9930 5.0711 8.0234 109.2700 97.3178 55.0641 51.9778 77.9417 67.4313 11.0411 10.4758 150.8967 101.1551 8.9756 9.1063 95609 65180 1.387 0.67208 0.20937 226.10 234.71 243.23 965813 859514 2347 1743 840809 708887 34974 619738 29945 599514 27541 25189 189384 0.828 1.164 341.052 575.609 0.952 1.411 22.875 1.292 33.396 1.668 29.105 39.725 1495.10 137.85 140.16 16.60 371.82 9.88 44.80 16.08 29.22 4.89 38.04 118.74 7.68 10.38 15.19 52.04 18.18 0.93 43.92 0.36 446.5887 111.0630 11.9383 3.8825 36.5726 10.2695 4.9727 1.4926 781.1195 124.6195 36.5959 10.2713 72.6309 19.2342 51.3204 14.8283 362.2743 95.4447 26.4927 9.8776 445.6402 109.8318 30.329564 226.48329 221.90624 2182.8387 56.754686087 150.981664264 56.661658371 72.924666914 139.210042618 42.186 791.266 307.115 91.850 1311.874 636.000 646.617 523.986 123.52 336.83 165.95 1297.10 414.01 2.66 29.5 29.06 239.55 10.67 794.56 100.83 499.46 272.46 1639.46 213.22 33.7 1036.69 383.45 527.54 154.28 439.93 8538.59 182.21 21792.13 4.336 36.024 117.032 109.008 15.721 135.705 531.906 644.756 2.37 50.98 101.69 9.59 166.2 381.92 80.44 274.27 89.47 291.65 65.11 225.96 5.98 6.68 32.49 36.75 19.23 20.9 24.72 98.64 108.39 126.91 4.946 11.696 15.566 40.747 30.62 157.78 19.5 91.03 9.5325 9.3819 340.8214 261.2692 112.3758 99.7371 813.7336 673.153 5.1063 8.0329 112.9777 99.3272 55.779 53.8839 79.5793 68.7072 11.2502 10.6542 156.2254 102.886 9.0311 9.416 96616 67934 1.406 0.66733 0.20927 226.19 240.38 239.55 1078377 902210 2236 1846 844015 721517 34383 588199 29843 581001 25978 24732 187148 0.742 1.108 357.811 541.625 0.948 1.386 23.268 1.36 33.509 1.721 30.795 40.434 1502.55 135.48 137.62 16.69 374.64 10.06 39.65 16.01 29.35 4.88 37.5 118.68 7.71 10.42 15.09 51.83 18.17 0.93 43.88 0.36 419.6025 106.5821 11.7243 3.8228 35.5844 10.021 4.9012 1.4802 775.7596 124.4719 35.3948 10.0601 71.699 18.5538 50.2554 14.5507 355.527 93.8454 25.5887 9.7105 442.9028 106.197 30.018778 226.11103 222.69332 2184.3425 57.06725562 151.953370514 56.610690744 72.258061548 139.330302737 40.222 790.868 306.656 90.493 1308.543 629.47 639.853 522.107 122.72 335.62 165.79 1298.17 413.66 2.66 28.85 29.87 241.22 10.79 817.16 87.16 499.92 272.25 1636.64 211.43 33.48 1051.22 383.23 527.2 153.81 438.29 8495.04 181.39 21757.77 4.367 36.156 110.569 113.63 15.815 124.188 532.511 644.695 2.37 49.07 105.17 9.65 185.24 382.17 80.61 274.48 88.88 292.25 66.15 224.72 5.98 6.71 32.94 36.9 19.27 20.26 24.6 96.72 104.61 122.28 4.952 11.65 15.494 39.798 31.63 152.15 19.63 89.72 9.0559 8.9835 334.2017 260.9555 110.6628 99.4907 831.5443 679.2809 5.0995 8.0276 109.1097 99.3939 54.9875 53.6674 79.3779 68.672 11.2285 10.6756 151.6354 102.0626 9.0939 9.0038 96892 67334 1.403 0.65683 0.20601 218.80 237.98 238.31 1057878 853917 2413 1815 793236 699050 33976 594778 30160 576586 28685 23058 188833 0.756 1.171 331.592 551.009 1.009 1.431 23.546 1.345 33.156 1.734 27.889 43.37 1499.57 138.64 133.88 16.57 370.27 9.78 45.87 16 29.37 4.88 37.82 119.45 7.6 10.43 15.11 51.99 18.24 0.94 44.09 0.36 441.6892 111.3107 11.9559 3.8275 36.1354 10.0455 4.7965 1.4665 776.8313 124.5537 36.6494 10.0553 72.7313 18.6283 50.3829 14.5577 356.2134 93.6568 26.3635 9.7892 439.8417 111.0589 30.039036 226.41739 222.19301 2183.0958 56.143192728 144.466011134 55.574675863 71.570884588 138.254375202 40.383 789.594 304.582 90.505 1308.925 630.041 643.708 523.423 122.81 336.08 165.05 1294.72 413.87 OpenBenchmarking.org
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 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
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 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 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 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 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 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
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 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 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 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 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 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 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 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 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 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 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
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 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
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
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 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
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
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
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
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
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
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
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
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: 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-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: 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
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 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
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
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: 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 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
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Very Fast a c b 5 10 15 20 25 SE +/- 0.12, N = 3 19.31 19.27 19.23
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Super Fast b a c 5 10 15 20 25 SE +/- 0.02, N = 3 20.90 20.31 20.26
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Ultra Fast a b c 6 12 18 24 30 SE +/- 0.14, N = 3 24.89 24.72 24.60
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Very Fast b c a 20 40 60 80 100 SE +/- 1.03, N = 15 98.64 96.72 91.58
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Super Fast b c a 20 40 60 80 100 SE +/- 1.28, N = 12 108.39 104.61 98.26
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast b c a 30 60 90 120 150 SE +/- 0.11, N = 3 126.91 122.28 120.88
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
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: 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
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 Frames Per Second, More Is Better x264 2022-02-22 Video Input: Bosphorus 1080p b a c 30 60 90 120 150 SE +/- 2.82, N = 15 157.78 155.70 152.15 1. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 1080p b c a 20 40 60 80 100 SE +/- 0.71, N = 15 91.03 89.72 84.85 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
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
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
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
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, 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
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, 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
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 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 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
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 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
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 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 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 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 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 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
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 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
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: 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 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 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 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 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 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 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 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 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 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 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 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
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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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
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 - 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
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, 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
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
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
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: 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
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
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
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
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
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
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.