Xeon Platinum 8380 AVX-512 Workloads Benchmarks for a future article. 2 x Intel Xeon Platinum 8380 testing with a Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) and ASPEED on Ubuntu 22.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2308099-NE-XEONPLATI49&grr&sro&rro .
Xeon Platinum 8380 AVX-512 Workloads Processor Motherboard Chipset Memory Disk Graphics Monitor Network OS Kernel Desktop Display Server Vulkan Compiler File-System Screen Resolution 0xd000390 0xd0003a5 2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads) Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) Intel Ice Lake IEH 512GB 7682GB INTEL SSDPF2KX076TZ ASPEED VE228 2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP Ubuntu 22.10 6.5.0-060500rc4daily20230804-generic (x86_64) GNOME Shell 43.0 X Server 1.21.1.3 1.3.224 GCC 12.2.0 ext4 1920x1080 6.5.0-rc5-phx-tues (x86_64) OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler Details - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-U8K4Qv/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-U8K4Qv/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details - 0xd000390: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0xd000390 - 0xd0003a5: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0xd0003a5 Python Details - Python 3.10.7 Security Details - 0xd000390: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected - 0xd0003a5: gather_data_sampling: Mitigation of Microcode + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Not affected + spec_rstack_overflow: 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 / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
Xeon Platinum 8380 AVX-512 Workloads tensorflow: CPU - 512 - ResNet-50 tensorflow: CPU - 256 - ResNet-50 libxsmm: 128 onnx: fcn-resnet101-11 - CPU - Standard onnx: fcn-resnet101-11 - CPU - Standard openvkl: vklBenchmark ISPC onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU onnx: yolov4 - CPU - Standard onnx: yolov4 - CPU - Standard onnx: GPT-2 - CPU - Standard onnx: GPT-2 - CPU - Standard onnx: ArcFace ResNet-100 - CPU - Standard onnx: ArcFace ResNet-100 - CPU - Standard onnx: CaffeNet 12-int8 - CPU - Standard onnx: CaffeNet 12-int8 - CPU - Standard onnx: super-resolution-10 - CPU - Standard onnx: super-resolution-10 - CPU - Standard qmcpack: FeCO6_b3lyp_gms onnx: bertsquad-12 - CPU - Standard onnx: bertsquad-12 - CPU - Standard libxsmm: 256 tensorflow: CPU - 512 - GoogLeNet ospray: particle_volume/pathtracer/real_time mrbayes: Primate Phylogeny Analysis onnx: ResNet50 v1-12-int8 - CPU - Standard onnx: ResNet50 v1-12-int8 - CPU - Standard qmcpack: FeCO6_b3lyp_gms palabos: 100 cpuminer-opt: Garlicoin ospray: particle_volume/scivis/real_time deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream palabos: 400 qmcpack: Li2_STO_ae palabos: 500 ncnn: CPU - FastestDet ncnn: CPU - vision_transformer ncnn: CPU - regnety_400m ncnn: CPU - squeezenet_ssd ncnn: CPU - yolov4-tiny ncnn: CPU - resnet50 ncnn: CPU - alexnet ncnn: CPU - resnet18 ncnn: CPU - vgg16 ncnn: CPU - googlenet ncnn: CPU - blazeface ncnn: CPU - efficientnet-b0 ncnn: CPU - mnasnet ncnn: CPU - shufflenet-v2 ncnn: CPU-v3-v3 - mobilenet-v3 ncnn: CPU-v2-v2 - mobilenet-v2 ncnn: CPU - mobilenet vvenc: Bosphorus 4K - Fast ospray: particle_volume/ao/real_time tensorflow: CPU - 256 - GoogLeNet cpuminer-opt: Myriad-Groestl laghos: Sedov Blast Wave, ube_922_hex.mesh onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU simdjson: PartialTweets simdjson: DistinctUserID simdjson: TopTweet tensorflow: CPU - 512 - AlexNet deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Person Detection FP32 - CPU openvino: Face Detection FP16 - CPU openvino: Face Detection FP16 - CPU 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 Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU vvenc: Bosphorus 4K - Faster openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU svt-hevc: 1 - Bosphorus 4K simdjson: Kostya deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - 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 ospray: gravity_spheres_volume/dim_512/scivis/real_time ospray: gravity_spheres_volume/dim_512/ao/real_time deepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2 - 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 deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream simdjson: LargeRand vpxenc: Speed 5 - Bosphorus 4K minibude: OpenMP - BM2 minibude: OpenMP - BM2 specfem3d: Water-layered Halfspace onednn: IP Shapes 3D - bf16bf16bf16 - CPU deepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream deepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream deepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream deepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream laghos: Triple Point Problem deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream qmcpack: simple-H2O tensorflow: CPU - 256 - AlexNet deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream libxsmm: 64 specfem3d: Layered Halfspace blender: Fishy Cat - CPU-Only libxsmm: 32 cpuminer-opt: LBC, LBRY Credits cpuminer-opt: scrypt cpuminer-opt: Skeincoin cpuminer-opt: Blake-2 S cpuminer-opt: Magi cpuminer-opt: Deepcoin cpuminer-opt: Triple SHA-256, Onecoin cpuminer-opt: x25x cpuminer-opt: Quad SHA-256, Pyrite gromacs: MPI CPU - water_GMX50_bare blender: BMW27 - CPU-Only onednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU specfem3d: Homogeneous Halfspace dav1d: Chimera 1080p specfem3d: Tomographic Model specfem3d: Mount St. Helens oidn: RTLightmap.hdr.4096x4096 - CPU-Only dav1d: Summer Nature 4K svt-av1: Preset 8 - Bosphorus 4K remhos: Sample Remap Example cloverleaf: Lagrangian-Eulerian Hydrodynamics incompact3d: input.i3d 193 Cells Per Direction minibude: OpenMP - BM1 minibude: OpenMP - BM1 embree: Pathtracer ISPC - Crown oidn: RT.ldr_alb_nrm.3840x2160 - CPU-Only embree: Pathtracer ISPC - Asian Dragon svt-hevc: 7 - Bosphorus 4K onednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPU svt-hevc: 10 - Bosphorus 4K svt-av1: Preset 12 - Bosphorus 4K svt-av1: Preset 13 - Bosphorus 4K heffte: c2c - FFTW - double - 256 onednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU heffte: r2c - FFTW - double - 256 heffte: c2c - FFTW - float - 256 heffte: r2c - FFTW - float - 256 heffte: c2c - FFTW - float - 128 heffte: r2c - FFTW - double - 128 heffte: c2c - FFTW - double - 128 heffte: r2c - FFTW - float - 128 0xd000390 0xd0003a5 85.97 83.89 1941.1 110.323 9.08067 912 832.452 85.7987 11.6605 5.54783 180.163 25.5687 39.1157 1.43407 696.725 6.31428 158.355 268.56 59.8415 16.7110 594.6 317.27 150.281 166.528 4.52403 221.020 147.51 312.195 29203 24.9506 405.9662 98.3394 388.476 124.23 413.207 10.20 46.92 45.54 15.34 23.71 17.15 5.39 8.97 23.86 15.36 4.35 11.62 7.57 9.89 8.88 8.03 15.46 5.722 24.7473 309.63 43127 385.89 524.381 4.62 5.52 5.60 760.15 93.5399 426.9495 1490.76 13.29 1517.69 13.03 827.51 24.04 209.31 95.42 79.47 251.00 9.77 2039.63 10.364 33.89 2344.97 1.16 67604.00 37.9943 1051.7868 8.50 9396.52 1.33 59274.06 4.51 4419.17 17.80 1121.56 10.46 2.61 474.6917 84.0181 17.3504 2301.1554 20.5780 21.0761 129.8095 307.8729 551.1195 72.0674 551.8180 72.1788 0.85 12.63 101.076 2526.887 31.146951238 2.59271 173.7945 230.0525 43.3033 922.9302 256.27 62.0099 644.4430 39.555 723.27 94.6126 422.1167 39.7308 1005.5843 39.6954 1006.3407 5.2210 7633.2598 1098.8 29.497987898 30.74 604.7 421660 2319.31 613333 4462327 2309.47 64677 1332237 2659.17 921730 9.234 23.83 3.90360 18.022236470 515.81 14.574192022 13.148692362 1.46 281.36 67.170 12.245 12.04 11.0240278 94.136 2353.389 88.1941 3.03 104.6844 138.75 2.06936 184.38 180.967 175.102 46.3516 3.62526 93.7474 101.977 224.417 154.731 144.942 93.0906 195.199 84.84 86.93 1978.9 117.545 8.59908 856 816.508 89.8299 11.1539 5.28095 190.570 25.8601 38.7185 1.51029 664.537 6.71968 158.014 263.23 61.5091 16.3098 600.2 323.79 136.853 165.419 4.62085 216.481 178.19 312.530 22086.25 16.3849 421.7544 94.2573 393.844 123.26 417.483 9.71 45.23 38.85 16.10 24.10 18.51 5.46 9.42 25.71 16.58 4.54 11.71 7.41 9.76 8.76 7.96 15.66 5.705 16.4611 321.72 43450 386.08 521.742 4.77 5.71 5.75 839.41 100.1856 398.7153 1496.19 13.25 1519.84 13.04 823.09 24.18 209.02 95.54 78.18 255.09 9.63 2070.72 10.415 33.63 2362.84 1.16 67754.34 45.9597 869.0393 8.48 9419.77 1.33 59377.96 4.49 4442.98 17.87 1117.09 10.45 2.87 478.8510 83.2041 19.3090 2068.3047 18.4626 18.8862 136.1780 293.1241 553.2682 71.8868 555.0876 71.5436 0.96 12.33 104.048 2601.212 31.381798528 2.57437 172.5579 231.4277 42.9405 930.7506 256.87 64.4439 620.2548 41.246 781.25 96.9429 412.0531 40.4508 987.5452 39.4131 1013.8215 5.6210 7092.5030 1177.1 29.373606551 30.90 609.2 423130 2321.74 617130 4466653 2308.66 64897 1333117 2659.55 926277 9.094 23.72 3.91322 17.751628972 514.58 14.145999546 12.948759795 1.46 280.84 66.460 12.401 11.98 11.0041968 94.897 2372.418 83.4621 3.03 101.0959 138.49 2.06967 182.74 177.721 177.203 46.9833 3.62266 94.8614 102.920 226.783 159.100 153.790 93.9207 198.869 OpenBenchmarking.org
TensorFlow Device: CPU - Batch Size: 512 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: ResNet-50 0xd0003a5 0xd000390 20 40 60 80 100 SE +/- 1.17, N = 3 SE +/- 1.13, N = 3 84.84 85.97
TensorFlow Device: CPU - Batch Size: 256 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: ResNet-50 0xd0003a5 0xd000390 20 40 60 80 100 SE +/- 0.80, N = 9 SE +/- 0.37, N = 3 86.93 83.89
libxsmm M N K: 128 OpenBenchmarking.org GFLOPS/s, More Is Better libxsmm 2-1.17-3645 M N K: 128 0xd0003a5 0xd000390 400 800 1200 1600 2000 SE +/- 20.92, N = 3 SE +/- 32.53, N = 7 1978.9 1941.1 1. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2
ONNX Runtime Model: fcn-resnet101-11 - Device: CPU - Executor: Standard OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard 0xd0003a5 0xd000390 30 60 90 120 150 SE +/- 3.29, N = 15 SE +/- 1.29, N = 15 117.55 110.32 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
ONNX Runtime Model: fcn-resnet101-11 - Device: CPU - Executor: Standard OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.14 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard 0xd0003a5 0xd000390 3 6 9 12 15 SE +/- 0.23491, N = 15 SE +/- 0.10283, N = 15 8.59908 9.08067 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OpenVKL Benchmark: vklBenchmark ISPC OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 1.3.1 Benchmark: vklBenchmark ISPC 0xd0003a5 0xd000390 200 400 600 800 1000 SE +/- 0.88, N = 3 SE +/- 1.53, N = 3 856 912 MIN: 137 / MAX: 7211 MIN: 140 / MAX: 7236
oneDNN Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU 0xd0003a5 0xd000390 200 400 600 800 1000 SE +/- 14.20, N = 12 SE +/- 16.59, N = 15 816.51 832.45 MIN: 723.44 MIN: 714.88 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
ONNX Runtime Model: yolov4 - Device: CPU - Executor: Standard OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: yolov4 - Device: CPU - Executor: Standard 0xd0003a5 0xd000390 20 40 60 80 100 SE +/- 1.07, N = 15 SE +/- 0.79, N = 7 89.83 85.80 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
ONNX Runtime Model: yolov4 - Device: CPU - Executor: Standard OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.14 Model: yolov4 - Device: CPU - Executor: Standard 0xd0003a5 0xd000390 3 6 9 12 15 SE +/- 0.13, N = 15 SE +/- 0.11, N = 7 11.15 11.66 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
ONNX Runtime Model: GPT-2 - Device: CPU - Executor: Standard OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: GPT-2 - Device: CPU - Executor: Standard 0xd0003a5 0xd000390 1.2483 2.4966 3.7449 4.9932 6.2415 SE +/- 0.11956, N = 15 SE +/- 0.00245, N = 3 5.28095 5.54783 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
ONNX Runtime Model: GPT-2 - Device: CPU - Executor: Standard OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.14 Model: GPT-2 - Device: CPU - Executor: Standard 0xd0003a5 0xd000390 40 80 120 160 200 SE +/- 4.37, N = 15 SE +/- 0.08, N = 3 190.57 180.16 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
ONNX Runtime Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard 0xd0003a5 0xd000390 6 12 18 24 30 SE +/- 0.26, N = 15 SE +/- 0.30, N = 3 25.86 25.57 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
ONNX Runtime Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.14 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard 0xd0003a5 0xd000390 9 18 27 36 45 SE +/- 0.38, N = 15 SE +/- 0.46, N = 3 38.72 39.12 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
ONNX Runtime Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard 0xd0003a5 0xd000390 0.3398 0.6796 1.0194 1.3592 1.699 SE +/- 0.02722, N = 15 SE +/- 0.00633, N = 3 1.51029 1.43407 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
ONNX Runtime Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.14 Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard 0xd0003a5 0xd000390 150 300 450 600 750 SE +/- 12.01, N = 15 SE +/- 3.08, N = 3 664.54 696.73 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
ONNX Runtime Model: super-resolution-10 - Device: CPU - Executor: Standard OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: super-resolution-10 - Device: CPU - Executor: Standard 0xd0003a5 0xd000390 2 4 6 8 10 SE +/- 0.43315, N = 15 SE +/- 0.00502, N = 3 6.71968 6.31428 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
ONNX Runtime Model: super-resolution-10 - Device: CPU - Executor: Standard OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.14 Model: super-resolution-10 - Device: CPU - Executor: Standard 0xd0003a5 0xd000390 30 60 90 120 150 SE +/- 10.25, N = 15 SE +/- 0.13, N = 3 158.01 158.36 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
QMCPACK Input: FeCO6_b3lyp_gms OpenBenchmarking.org Total Execution Time - Seconds, Fewer Is Better QMCPACK 3.16 Input: FeCO6_b3lyp_gms 0xd0003a5 0xd000390 60 120 180 240 300 SE +/- 2.19, N = 3 SE +/- 3.60, N = 3 263.23 268.56 1. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
ONNX Runtime Model: bertsquad-12 - Device: CPU - Executor: Standard OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: bertsquad-12 - Device: CPU - Executor: Standard 0xd0003a5 0xd000390 14 28 42 56 70 SE +/- 1.14, N = 12 SE +/- 0.28, N = 3 61.51 59.84 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
ONNX Runtime Model: bertsquad-12 - Device: CPU - Executor: Standard OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.14 Model: bertsquad-12 - Device: CPU - Executor: Standard 0xd0003a5 0xd000390 4 8 12 16 20 SE +/- 0.26, N = 12 SE +/- 0.08, N = 3 16.31 16.71 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
libxsmm M N K: 256 OpenBenchmarking.org GFLOPS/s, More Is Better libxsmm 2-1.17-3645 M N K: 256 0xd0003a5 0xd000390 130 260 390 520 650 SE +/- 2.54, N = 3 SE +/- 2.33, N = 3 600.2 594.6 1. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2
TensorFlow Device: CPU - Batch Size: 512 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: GoogLeNet 0xd0003a5 0xd000390 70 140 210 280 350 SE +/- 0.43, N = 3 SE +/- 0.87, N = 3 323.79 317.27
OSPRay Benchmark: particle_volume/pathtracer/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/pathtracer/real_time 0xd0003a5 0xd000390 30 60 90 120 150 SE +/- 0.45, N = 3 SE +/- 0.54, N = 3 136.85 150.28
Timed MrBayes Analysis Primate Phylogeny Analysis OpenBenchmarking.org Seconds, Fewer Is Better Timed MrBayes Analysis 3.2.7 Primate Phylogeny Analysis 0xd0003a5 0xd000390 40 80 120 160 200 SE +/- 0.98, N = 3 SE +/- 1.36, N = 3 165.42 166.53 1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msha -maes -mavx -mfma -mavx2 -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm -lreadline
ONNX Runtime Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard OpenBenchmarking.org Inference Time Cost (ms), Fewer Is Better ONNX Runtime 1.14 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard 0xd0003a5 0xd000390 1.0397 2.0794 3.1191 4.1588 5.1985 SE +/- 0.04028, N = 8 SE +/- 0.02854, N = 3 4.62085 4.52403 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
ONNX Runtime Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard OpenBenchmarking.org Inferences Per Second, More Is Better ONNX Runtime 1.14 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard 0xd0003a5 0xd000390 50 100 150 200 250 SE +/- 1.91, N = 8 SE +/- 1.39, N = 3 216.48 221.02 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
QMCPACK Input: FeCO6_b3lyp_gms OpenBenchmarking.org Total Execution Time - Seconds, Fewer Is Better QMCPACK 3.16 Input: FeCO6_b3lyp_gms 0xd0003a5 0xd000390 40 80 120 160 200 SE +/- 0.31, N = 3 SE +/- 0.12, N = 3 178.19 147.51 1. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
Palabos Grid Size: 100 OpenBenchmarking.org Mega Site Updates Per Second, More Is Better Palabos 2.3 Grid Size: 100 0xd0003a5 0xd000390 70 140 210 280 350 SE +/- 0.20, N = 3 SE +/- 0.89, N = 3 312.53 312.20 1. (CXX) g++ options: -std=c++17 -pedantic -O3 -rdynamic -lcrypto -lcurl -lsz -lz -ldl -lm
Cpuminer-Opt Algorithm: Garlicoin OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Garlicoin 0xd0003a5 0xd000390 6K 12K 18K 24K 30K SE +/- 3833.17, N = 12 SE +/- 330.17, N = 3 22086.25 29203.00 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OSPRay Benchmark: particle_volume/scivis/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/scivis/real_time 0xd0003a5 0xd000390 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 16.38 24.95
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 90 180 270 360 450 SE +/- 2.15, N = 3 SE +/- 0.42, N = 3 421.75 405.97
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 20 40 60 80 100 SE +/- 0.51, N = 3 SE +/- 0.12, N = 3 94.26 98.34
Palabos Grid Size: 400 OpenBenchmarking.org Mega Site Updates Per Second, More Is Better Palabos 2.3 Grid Size: 400 0xd0003a5 0xd000390 90 180 270 360 450 SE +/- 0.06, N = 3 SE +/- 0.94, N = 3 393.84 388.48 1. (CXX) g++ options: -std=c++17 -pedantic -O3 -rdynamic -lcrypto -lcurl -lsz -lz -ldl -lm
QMCPACK Input: Li2_STO_ae OpenBenchmarking.org Total Execution Time - Seconds, Fewer Is Better QMCPACK 3.16 Input: Li2_STO_ae 0xd0003a5 0xd000390 30 60 90 120 150 SE +/- 1.03, N = 3 SE +/- 1.55, N = 3 123.26 124.23 1. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
Palabos Grid Size: 500 OpenBenchmarking.org Mega Site Updates Per Second, More Is Better Palabos 2.3 Grid Size: 500 0xd0003a5 0xd000390 90 180 270 360 450 SE +/- 0.72, N = 3 SE +/- 0.42, N = 3 417.48 413.21 1. (CXX) g++ options: -std=c++17 -pedantic -O3 -rdynamic -lcrypto -lcurl -lsz -lz -ldl -lm
NCNN Target: CPU - Model: FastestDet OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: FastestDet 0xd0003a5 0xd000390 3 6 9 12 15 SE +/- 0.07, N = 3 SE +/- 0.64, N = 3 9.71 10.20 MIN: 9.22 / MAX: 27.29 MIN: 9.01 / MAX: 500.17 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: vision_transformer OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: vision_transformer 0xd0003a5 0xd000390 11 22 33 44 55 SE +/- 0.31, N = 3 SE +/- 1.17, N = 3 45.23 46.92 MIN: 43.43 / MAX: 73.39 MIN: 43.11 / MAX: 881.49 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: regnety_400m OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: regnety_400m 0xd0003a5 0xd000390 10 20 30 40 50 SE +/- 0.50, N = 3 SE +/- 7.69, N = 3 38.85 45.54 MIN: 37.13 / MAX: 233.44 MIN: 36.01 / MAX: 3343.68 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: squeezenet_ssd OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: squeezenet_ssd 0xd0003a5 0xd000390 4 8 12 16 20 SE +/- 0.25, N = 3 SE +/- 0.12, N = 3 16.10 15.34 MIN: 15.43 / MAX: 48.02 MIN: 14.63 / MAX: 39.65 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: yolov4-tiny OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: yolov4-tiny 0xd0003a5 0xd000390 6 12 18 24 30 SE +/- 0.17, N = 3 SE +/- 0.22, N = 3 24.10 23.71 MIN: 23.25 / MAX: 51.47 MIN: 22.57 / MAX: 46.11 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: resnet50 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: resnet50 0xd0003a5 0xd000390 5 10 15 20 25 SE +/- 0.69, N = 3 SE +/- 0.52, N = 3 18.51 17.15 MIN: 17.32 / MAX: 299.93 MIN: 16.19 / MAX: 41.83 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: alexnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: alexnet 0xd0003a5 0xd000390 1.2285 2.457 3.6855 4.914 6.1425 SE +/- 0.15, N = 3 SE +/- 0.16, N = 3 5.46 5.39 MIN: 5.01 / MAX: 29.14 MIN: 4.83 / MAX: 151.52 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: resnet18 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: resnet18 0xd0003a5 0xd000390 3 6 9 12 15 SE +/- 0.09, N = 2 SE +/- 0.14, N = 3 9.42 8.97 MIN: 9.21 / MAX: 32.8 MIN: 8.63 / MAX: 27.27 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: vgg16 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: vgg16 0xd0003a5 0xd000390 6 12 18 24 30 SE +/- 0.19, N = 3 SE +/- 0.25, N = 3 25.71 23.86 MIN: 24.88 / MAX: 62.96 MIN: 23.05 / MAX: 47.41 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: googlenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: googlenet 0xd0003a5 0xd000390 4 8 12 16 20 SE +/- 0.48, N = 3 SE +/- 0.17, N = 3 16.58 15.36 MIN: 15.29 / MAX: 39.63 MIN: 14.6 / MAX: 182.22 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: blazeface OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: blazeface 0xd0003a5 0xd000390 1.0215 2.043 3.0645 4.086 5.1075 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 4.54 4.35 MIN: 4.37 / MAX: 5.17 MIN: 4.16 / MAX: 4.97 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: efficientnet-b0 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: efficientnet-b0 0xd0003a5 0xd000390 3 6 9 12 15 SE +/- 0.11, N = 3 SE +/- 0.38, N = 3 11.71 11.62 MIN: 11.15 / MAX: 19.87 MIN: 10.82 / MAX: 21.03 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: mnasnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: mnasnet 0xd0003a5 0xd000390 2 4 6 8 10 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 7.41 7.57 MIN: 7.15 / MAX: 31.17 MIN: 7.28 / MAX: 30.26 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: shufflenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: shufflenet-v2 0xd0003a5 0xd000390 3 6 9 12 15 SE +/- 0.13, N = 3 SE +/- 0.10, N = 3 9.76 9.89 MIN: 9.32 / MAX: 33.4 MIN: 9.61 / MAX: 33.59 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU-v3-v3 - Model: mobilenet-v3 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU-v3-v3 - Model: mobilenet-v3 0xd0003a5 0xd000390 2 4 6 8 10 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 8.76 8.88 MIN: 8.3 / MAX: 32.6 MIN: 8.69 / MAX: 32.33 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU-v2-v2 - Model: mobilenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU-v2-v2 - Model: mobilenet-v2 0xd0003a5 0xd000390 2 4 6 8 10 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 7.96 8.03 MIN: 7.75 / MAX: 31.75 MIN: 7.8 / MAX: 31.34 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: mobilenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: mobilenet 0xd0003a5 0xd000390 4 8 12 16 20 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 15.66 15.46 MIN: 15.24 / MAX: 38.75 MIN: 14.85 / MAX: 106.56 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
VVenC Video Input: Bosphorus 4K - Video Preset: Fast OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Fast 0xd0003a5 0xd000390 1.2875 2.575 3.8625 5.15 6.4375 SE +/- 0.029, N = 3 SE +/- 0.033, N = 3 5.705 5.722 1. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
OSPRay Benchmark: particle_volume/ao/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/ao/real_time 0xd0003a5 0xd000390 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.11, N = 3 16.46 24.75
TensorFlow Device: CPU - Batch Size: 256 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: GoogLeNet 0xd0003a5 0xd000390 70 140 210 280 350 SE +/- 2.10, N = 3 SE +/- 1.89, N = 3 321.72 309.63
Cpuminer-Opt Algorithm: Myriad-Groestl OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Myriad-Groestl 0xd0003a5 0xd000390 9K 18K 27K 36K 45K SE +/- 406.32, N = 3 SE +/- 386.00, N = 15 43450 43127 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Laghos Test: Sedov Blast Wave, ube_922_hex.mesh OpenBenchmarking.org Major Kernels Total Rate, More Is Better Laghos 3.1 Test: Sedov Blast Wave, ube_922_hex.mesh 0xd0003a5 0xd000390 80 160 240 320 400 SE +/- 0.80, N = 3 SE +/- 0.23, N = 3 386.08 385.89 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
oneDNN Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU 0xd0003a5 0xd000390 110 220 330 440 550 SE +/- 2.82, N = 3 SE +/- 7.19, N = 3 521.74 524.38 MIN: 505.72 MIN: 499.75 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
simdjson Throughput Test: PartialTweets OpenBenchmarking.org GB/s, More Is Better simdjson 2.0 Throughput Test: PartialTweets 0xd0003a5 0xd000390 1.0733 2.1466 3.2199 4.2932 5.3665 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 4.77 4.62 1. (CXX) g++ options: -O3
simdjson Throughput Test: DistinctUserID OpenBenchmarking.org GB/s, More Is Better simdjson 2.0 Throughput Test: DistinctUserID 0xd0003a5 0xd000390 1.2848 2.5696 3.8544 5.1392 6.424 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 5.71 5.52 1. (CXX) g++ options: -O3
simdjson Throughput Test: TopTweet OpenBenchmarking.org GB/s, More Is Better simdjson 2.0 Throughput Test: TopTweet 0xd0003a5 0xd000390 1.2938 2.5876 3.8814 5.1752 6.469 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 5.75 5.60 1. (CXX) g++ options: -O3
TensorFlow Device: CPU - Batch Size: 512 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: AlexNet 0xd0003a5 0xd000390 200 400 600 800 1000 SE +/- 2.61, N = 3 SE +/- 3.77, N = 3 839.41 760.15
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 20 40 60 80 100 SE +/- 1.28, N = 4 SE +/- 0.07, N = 3 100.19 93.54
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 90 180 270 360 450 SE +/- 4.97, N = 4 SE +/- 0.21, N = 3 398.72 426.95
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU 0xd0003a5 0xd000390 300 600 900 1200 1500 SE +/- 0.81, N = 3 SE +/- 2.35, N = 3 1496.19 1490.76 MIN: 1043.7 / MAX: 1711.44 MIN: 1074.22 / MAX: 1692.48 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU 0xd0003a5 0xd000390 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 13.25 13.29 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU 0xd0003a5 0xd000390 300 600 900 1200 1500 SE +/- 0.84, N = 3 SE +/- 0.52, N = 3 1519.84 1517.69 MIN: 1074.08 / MAX: 1721.59 MIN: 1081.6 / MAX: 1690.6 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU 0xd0003a5 0xd000390 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 13.04 13.03 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU 0xd0003a5 0xd000390 200 400 600 800 1000 SE +/- 0.71, N = 3 SE +/- 0.42, N = 3 823.09 827.51 MIN: 550.41 / MAX: 926.21 MIN: 628.21 / MAX: 980.48 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU 0xd0003a5 0xd000390 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 24.18 24.04 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU 0xd0003a5 0xd000390 50 100 150 200 250 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 209.02 209.31 MIN: 152.83 / MAX: 234.28 MIN: 160.46 / MAX: 249.09 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU 0xd0003a5 0xd000390 20 40 60 80 100 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 95.54 95.42 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU 0xd0003a5 0xd000390 20 40 60 80 100 SE +/- 0.19, N = 3 SE +/- 0.22, N = 3 78.18 79.47 MIN: 66.08 / MAX: 194.38 MIN: 62.57 / MAX: 232.01 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU 0xd0003a5 0xd000390 60 120 180 240 300 SE +/- 0.63, N = 3 SE +/- 0.68, N = 3 255.09 251.00 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU 0xd0003a5 0xd000390 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 9.63 9.77 MIN: 8.33 / MAX: 19.33 MIN: 7.83 / MAX: 20.01 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU 0xd0003a5 0xd000390 400 800 1200 1600 2000 SE +/- 3.75, N = 3 SE +/- 1.77, N = 3 2070.72 2039.63 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
VVenC Video Input: Bosphorus 4K - Video Preset: Faster OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Faster 0xd0003a5 0xd000390 3 6 9 12 15 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 10.42 10.36 1. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU 0xd0003a5 0xd000390 8 16 24 32 40 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 33.63 33.89 MIN: 29.54 / MAX: 113.55 MIN: 29.83 / MAX: 113.13 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU 0xd0003a5 0xd000390 500 1000 1500 2000 2500 SE +/- 3.91, N = 3 SE +/- 3.01, N = 3 2362.84 2344.97 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU 0xd0003a5 0xd000390 0.261 0.522 0.783 1.044 1.305 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.16 1.16 MIN: 0.86 / MAX: 17.98 MIN: 0.88 / MAX: 12.61 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU 0xd0003a5 0xd000390 15K 30K 45K 60K 75K SE +/- 29.72, N = 3 SE +/- 17.48, N = 3 67754.34 67604.00 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 10 20 30 40 50 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 45.96 37.99
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 200 400 600 800 1000 SE +/- 1.83, N = 3 SE +/- 1.88, N = 3 869.04 1051.79
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU 0xd0003a5 0xd000390 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 8.48 8.50 MIN: 7.15 / MAX: 22.53 MIN: 7.17 / MAX: 18.39 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU 0xd0003a5 0xd000390 2K 4K 6K 8K 10K SE +/- 2.19, N = 3 SE +/- 3.74, N = 3 9419.77 9396.52 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU 0xd0003a5 0xd000390 0.2993 0.5986 0.8979 1.1972 1.4965 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.33 1.33 MIN: 0.97 / MAX: 13.43 MIN: 0.97 / MAX: 13 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU 0xd0003a5 0xd000390 13K 26K 39K 52K 65K SE +/- 18.68, N = 3 SE +/- 17.38, N = 3 59377.96 59274.06 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU 0xd0003a5 0xd000390 1.0148 2.0296 3.0444 4.0592 5.074 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 4.49 4.51 MIN: 4.04 / MAX: 15.85 MIN: 4.02 / MAX: 13.95 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU 0xd0003a5 0xd000390 1000 2000 3000 4000 5000 SE +/- 2.64, N = 3 SE +/- 3.29, N = 3 4442.98 4419.17 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU 0xd0003a5 0xd000390 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 17.87 17.80 MIN: 12.24 / MAX: 38.45 MIN: 12.83 / MAX: 32.64 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU 0xd0003a5 0xd000390 200 400 600 800 1000 SE +/- 1.14, N = 3 SE +/- 0.88, N = 3 1117.09 1121.56 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
SVT-HEVC Tuning: 1 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 4K 0xd0003a5 0xd000390 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 10.45 10.46 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
simdjson Throughput Test: Kostya OpenBenchmarking.org GB/s, More Is Better simdjson 2.0 Throughput Test: Kostya 0xd0003a5 0xd000390 0.6458 1.2916 1.9374 2.5832 3.229 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 2.87 2.61 1. (CXX) g++ options: -O3
Neural Magic DeepSparse Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 100 200 300 400 500 SE +/- 1.39, N = 3 SE +/- 1.00, N = 3 478.85 474.69
Neural Magic DeepSparse Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 20 40 60 80 100 SE +/- 0.18, N = 3 SE +/- 0.32, N = 3 83.20 84.02
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 19.31 17.35
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 500 1000 1500 2000 2500 SE +/- 3.15, N = 3 SE +/- 1.14, N = 3 2068.30 2301.16
OSPRay Benchmark: gravity_spheres_volume/dim_512/scivis/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time 0xd0003a5 0xd000390 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 18.46 20.58
OSPRay Benchmark: gravity_spheres_volume/dim_512/ao/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/ao/real_time 0xd0003a5 0xd000390 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 18.89 21.08
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 30 60 90 120 150 SE +/- 0.60, N = 3 SE +/- 0.25, N = 3 136.18 129.81
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 70 140 210 280 350 SE +/- 1.05, N = 3 SE +/- 0.57, N = 3 293.12 307.87
Neural Magic DeepSparse Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 120 240 360 480 600 SE +/- 1.19, N = 3 SE +/- 0.77, N = 3 553.27 551.12
Neural Magic DeepSparse Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 16 32 48 64 80 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 71.89 72.07
Neural Magic DeepSparse Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 120 240 360 480 600 SE +/- 1.12, N = 3 SE +/- 0.62, N = 3 555.09 551.82
Neural Magic DeepSparse Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 16 32 48 64 80 SE +/- 0.12, N = 3 SE +/- 0.15, N = 3 71.54 72.18
simdjson Throughput Test: LargeRandom OpenBenchmarking.org GB/s, More Is Better simdjson 2.0 Throughput Test: LargeRandom 0xd0003a5 0xd000390 0.216 0.432 0.648 0.864 1.08 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.96 0.85 1. (CXX) g++ options: -O3
VP9 libvpx Encoding Speed: Speed 5 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.13 Speed: Speed 5 - Input: Bosphorus 4K 0xd0003a5 0xd000390 3 6 9 12 15 SE +/- 0.13, N = 3 SE +/- 0.12, N = 3 12.33 12.63 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
miniBUDE Implementation: OpenMP - Input Deck: BM2 OpenBenchmarking.org Billion Interactions/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 0xd0003a5 0xd000390 20 40 60 80 100 SE +/- 0.38, N = 3 SE +/- 0.39, N = 3 104.05 101.08 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
miniBUDE Implementation: OpenMP - Input Deck: BM2 OpenBenchmarking.org GFInst/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 0xd0003a5 0xd000390 600 1200 1800 2400 3000 SE +/- 9.53, N = 3 SE +/- 9.78, N = 3 2601.21 2526.89 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
SPECFEM3D Model: Water-layered Halfspace OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Water-layered Halfspace 0xd0003a5 0xd000390 7 14 21 28 35 SE +/- 0.31, N = 5 SE +/- 0.24, N = 3 31.38 31.15 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
oneDNN Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU 0xd0003a5 0xd000390 0.5834 1.1668 1.7502 2.3336 2.917 SE +/- 0.02489, N = 15 SE +/- 0.03265, N = 15 2.57437 2.59271 MIN: 1.99 MIN: 1.91 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
Neural Magic DeepSparse Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 40 80 120 160 200 SE +/- 1.64, N = 3 SE +/- 0.34, N = 3 172.56 173.79
Neural Magic DeepSparse Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 50 100 150 200 250 SE +/- 2.37, N = 3 SE +/- 0.46, N = 3 231.43 230.05
Neural Magic DeepSparse Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 10 20 30 40 50 SE +/- 0.06, N = 3 SE +/- 0.53, N = 3 42.94 43.30
Neural Magic DeepSparse Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 200 400 600 800 1000 SE +/- 1.22, N = 3 SE +/- 11.47, N = 3 930.75 922.93
Laghos Test: Triple Point Problem OpenBenchmarking.org Major Kernels Total Rate, More Is Better Laghos 3.1 Test: Triple Point Problem 0xd0003a5 0xd000390 60 120 180 240 300 SE +/- 0.94, N = 3 SE +/- 0.32, N = 3 256.87 256.27 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
Neural Magic DeepSparse Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 14 28 42 56 70 SE +/- 0.78, N = 3 SE +/- 0.23, N = 3 64.44 62.01
Neural Magic DeepSparse Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 140 280 420 560 700 SE +/- 7.47, N = 3 SE +/- 2.45, N = 3 620.25 644.44
QMCPACK Input: simple-H2O OpenBenchmarking.org Total Execution Time - Seconds, Fewer Is Better QMCPACK 3.16 Input: simple-H2O 0xd0003a5 0xd000390 9 18 27 36 45 SE +/- 0.02, N = 3 SE +/- 0.12, N = 3 41.25 39.56 1. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
TensorFlow Device: CPU - Batch Size: 256 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: AlexNet 0xd0003a5 0xd000390 200 400 600 800 1000 SE +/- 4.27, N = 3 SE +/- 2.99, N = 3 781.25 723.27
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 20 40 60 80 100 SE +/- 0.29, N = 3 SE +/- 0.07, N = 3 96.94 94.61
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 90 180 270 360 450 SE +/- 1.24, N = 3 SE +/- 0.36, N = 3 412.05 422.12
Neural Magic DeepSparse Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 9 18 27 36 45 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 40.45 39.73
Neural Magic DeepSparse Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 200 400 600 800 1000 SE +/- 2.17, N = 3 SE +/- 1.41, N = 3 987.55 1005.58
Neural Magic DeepSparse Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 39.41 39.70
Neural Magic DeepSparse Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 200 400 600 800 1000 SE +/- 0.31, N = 3 SE +/- 0.56, N = 3 1013.82 1006.34
Neural Magic DeepSparse Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 1.2647 2.5294 3.7941 5.0588 6.3235 SE +/- 0.0018, N = 3 SE +/- 0.0056, N = 3 5.6210 5.2210
Neural Magic DeepSparse Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream 0xd0003a5 0xd000390 1600 3200 4800 6400 8000 SE +/- 2.44, N = 3 SE +/- 8.14, N = 3 7092.50 7633.26
libxsmm M N K: 64 OpenBenchmarking.org GFLOPS/s, More Is Better libxsmm 2-1.17-3645 M N K: 64 0xd0003a5 0xd000390 300 600 900 1200 1500 SE +/- 13.09, N = 15 SE +/- 8.60, N = 3 1177.1 1098.8 1. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2
SPECFEM3D Model: Layered Halfspace OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Layered Halfspace 0xd0003a5 0xd000390 7 14 21 28 35 SE +/- 0.18, N = 3 SE +/- 0.05, N = 3 29.37 29.50 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 Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Fishy Cat - Compute: CPU-Only 0xd0003a5 0xd000390 7 14 21 28 35 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 30.90 30.74
libxsmm M N K: 32 OpenBenchmarking.org GFLOPS/s, More Is Better libxsmm 2-1.17-3645 M N K: 32 0xd0003a5 0xd000390 130 260 390 520 650 SE +/- 4.92, N = 3 SE +/- 8.71, N = 15 609.2 604.7 1. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2
Cpuminer-Opt Algorithm: LBC, LBRY Credits OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: LBC, LBRY Credits 0xd0003a5 0xd000390 90K 180K 270K 360K 450K SE +/- 860.95, N = 3 SE +/- 313.42, N = 3 423130 421660 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: scrypt OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: scrypt 0xd0003a5 0xd000390 500 1000 1500 2000 2500 SE +/- 8.35, N = 3 SE +/- 1.08, N = 3 2321.74 2319.31 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: Skeincoin OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Skeincoin 0xd0003a5 0xd000390 130K 260K 390K 520K 650K SE +/- 3788.20, N = 3 SE +/- 1652.89, N = 3 617130 613333 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: Blake-2 S OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Blake-2 S 0xd0003a5 0xd000390 1000K 2000K 3000K 4000K 5000K SE +/- 8676.85, N = 3 SE +/- 8325.80, N = 3 4466653 4462327 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: Magi OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Magi 0xd0003a5 0xd000390 500 1000 1500 2000 2500 SE +/- 1.08, N = 3 SE +/- 3.91, N = 3 2308.66 2309.47 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: Deepcoin OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Deepcoin 0xd0003a5 0xd000390 14K 28K 42K 56K 70K SE +/- 187.02, N = 3 SE +/- 89.69, N = 3 64897 64677 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: Triple SHA-256, Onecoin OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Triple SHA-256, Onecoin 0xd0003a5 0xd000390 300K 600K 900K 1200K 1500K SE +/- 7235.75, N = 3 SE +/- 7105.40, N = 3 1333117 1332237 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: x25x OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: x25x 0xd0003a5 0xd000390 600 1200 1800 2400 3000 SE +/- 5.54, N = 3 SE +/- 4.75, N = 3 2659.55 2659.17 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: Quad SHA-256, Pyrite OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.20.3 Algorithm: Quad SHA-256, Pyrite 0xd0003a5 0xd000390 200K 400K 600K 800K 1000K SE +/- 1690.96, N = 3 SE +/- 3352.41, N = 3 926277 921730 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
GROMACS Implementation: MPI CPU - Input: water_GMX50_bare OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2023 Implementation: MPI CPU - Input: water_GMX50_bare 0xd0003a5 0xd000390 3 6 9 12 15 SE +/- 0.026, N = 3 SE +/- 0.021, N = 3 9.094 9.234 1. (CXX) g++ options: -O3
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: BMW27 - Compute: CPU-Only 0xd0003a5 0xd000390 6 12 18 24 30 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 23.72 23.83
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU 0xd0003a5 0xd000390 0.8805 1.761 2.6415 3.522 4.4025 SE +/- 0.00080, N = 3 SE +/- 0.00202, N = 3 3.91322 3.90360 MIN: 3.69 MIN: 3.68 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
SPECFEM3D Model: Homogeneous Halfspace OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Homogeneous Halfspace 0xd0003a5 0xd000390 4 8 12 16 20 SE +/- 0.16, N = 3 SE +/- 0.15, N = 3 17.75 18.02 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
dav1d Video Input: Chimera 1080p OpenBenchmarking.org FPS, More Is Better dav1d 1.2.1 Video Input: Chimera 1080p 0xd0003a5 0xd000390 110 220 330 440 550 SE +/- 0.51, N = 3 SE +/- 0.80, N = 3 514.58 515.81 1. (CC) gcc options: -pthread -lm
SPECFEM3D Model: Tomographic Model OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Tomographic Model 0xd0003a5 0xd000390 4 8 12 16 20 SE +/- 0.15, N = 3 SE +/- 0.02, N = 3 14.15 14.57 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
SPECFEM3D Model: Mount St. Helens OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Mount St. Helens 0xd0003a5 0xd000390 3 6 9 12 15 SE +/- 0.12, N = 3 SE +/- 0.18, N = 3 12.95 13.15 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
Intel Open Image Denoise Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.0 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only 0xd0003a5 0xd000390 0.3285 0.657 0.9855 1.314 1.6425 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.46 1.46
dav1d Video Input: Summer Nature 4K OpenBenchmarking.org FPS, More Is Better dav1d 1.2.1 Video Input: Summer Nature 4K 0xd0003a5 0xd000390 60 120 180 240 300 SE +/- 0.81, N = 3 SE +/- 1.06, N = 3 280.84 281.36 1. (CC) gcc options: -pthread -lm
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.6 Encoder Mode: Preset 8 - Input: Bosphorus 4K 0xd0003a5 0xd000390 15 30 45 60 75 SE +/- 0.46, N = 3 SE +/- 0.47, N = 3 66.46 67.17 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
Remhos Test: Sample Remap Example OpenBenchmarking.org Seconds, Fewer Is Better Remhos 1.0 Test: Sample Remap Example 0xd0003a5 0xd000390 3 6 9 12 15 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 12.40 12.25 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
CloverLeaf Lagrangian-Eulerian Hydrodynamics OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf Lagrangian-Eulerian Hydrodynamics 0xd0003a5 0xd000390 3 6 9 12 15 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 11.98 12.04 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
Xcompact3d Incompact3d Input: input.i3d 193 Cells Per Direction OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 193 Cells Per Direction 0xd0003a5 0xd000390 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 11.00 11.02 1. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
miniBUDE Implementation: OpenMP - Input Deck: BM1 OpenBenchmarking.org Billion Interactions/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 0xd0003a5 0xd000390 20 40 60 80 100 SE +/- 0.44, N = 3 SE +/- 0.14, N = 3 94.90 94.14 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
miniBUDE Implementation: OpenMP - Input Deck: BM1 OpenBenchmarking.org GFInst/s, More Is Better miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 0xd0003a5 0xd000390 500 1000 1500 2000 2500 SE +/- 10.90, N = 3 SE +/- 3.60, N = 3 2372.42 2353.39 1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.1 Binary: Pathtracer ISPC - Model: Crown 0xd0003a5 0xd000390 20 40 60 80 100 SE +/- 0.32, N = 3 SE +/- 0.07, N = 3 83.46 88.19 MIN: 80.27 / MAX: 87.69 MIN: 85.24 / MAX: 92.72
Intel Open Image Denoise Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.0 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only 0xd0003a5 0xd000390 0.6818 1.3636 2.0454 2.7272 3.409 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 3.03 3.03
Embree Binary: Pathtracer ISPC - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.1 Binary: Pathtracer ISPC - Model: Asian Dragon 0xd0003a5 0xd000390 20 40 60 80 100 SE +/- 0.19, N = 3 SE +/- 0.43, N = 3 101.10 104.68 MIN: 98.59 / MAX: 105.53 MIN: 101.9 / MAX: 109.48
SVT-HEVC Tuning: 7 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 4K 0xd0003a5 0xd000390 30 60 90 120 150 SE +/- 0.44, N = 3 SE +/- 0.60, N = 3 138.49 138.75 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU 0xd0003a5 0xd000390 0.4657 0.9314 1.3971 1.8628 2.3285 SE +/- 0.00191, N = 3 SE +/- 0.00038, N = 3 2.06967 2.06936 MIN: 2.03 MIN: 2.03 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
SVT-HEVC Tuning: 10 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 4K 0xd0003a5 0xd000390 40 80 120 160 200 SE +/- 0.38, N = 3 SE +/- 2.03, N = 3 182.74 184.38 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
SVT-AV1 Encoder Mode: Preset 12 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.6 Encoder Mode: Preset 12 - Input: Bosphorus 4K 0xd0003a5 0xd000390 40 80 120 160 200 SE +/- 1.20, N = 3 SE +/- 1.29, N = 3 177.72 180.97 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 13 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.6 Encoder Mode: Preset 13 - Input: Bosphorus 4K 0xd0003a5 0xd000390 40 80 120 160 200 SE +/- 2.02, N = 3 SE +/- 0.79, N = 3 177.20 175.10 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256 0xd0003a5 0xd000390 11 22 33 44 55 SE +/- 0.61, N = 3 SE +/- 0.25, N = 3 46.98 46.35 1. (CXX) g++ options: -O3
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU 0xd0003a5 0xd000390 0.8157 1.6314 2.4471 3.2628 4.0785 SE +/- 0.00622, N = 3 SE +/- 0.00896, N = 3 3.62266 3.62526 MIN: 3.53 MIN: 3.54 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256 0xd0003a5 0xd000390 20 40 60 80 100 SE +/- 1.13, N = 3 SE +/- 1.09, N = 3 94.86 93.75 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256 0xd0003a5 0xd000390 20 40 60 80 100 SE +/- 0.20, N = 3 SE +/- 0.27, N = 3 102.92 101.98 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256 0xd0003a5 0xd000390 50 100 150 200 250 SE +/- 2.85, N = 3 SE +/- 2.25, N = 3 226.78 224.42 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 0xd0003a5 0xd000390 40 80 120 160 200 SE +/- 1.01, N = 3 SE +/- 1.53, N = 5 159.10 154.73 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 0xd0003a5 0xd000390 30 60 90 120 150 SE +/- 1.71, N = 3 SE +/- 1.81, N = 4 153.79 144.94 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 0xd0003a5 0xd000390 20 40 60 80 100 SE +/- 0.28, N = 3 SE +/- 0.15, N = 3 93.92 93.09 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 0xd0003a5 0xd000390 40 80 120 160 200 SE +/- 1.08, N = 3 SE +/- 0.92, N = 3 198.87 195.20 1. (CXX) g++ options: -O3
Phoronix Test Suite v10.8.5