Tests for a future article. AMD EPYC 9124 16-Core testing with a Supermicro H13SSW (1.1 BIOS) and astdrmfb on AlmaLinux 9.2 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2310228-NE-EXTRATEST37 extra tests2 - Phoronix Test Suite extra tests2 Tests for a future article. AMD EPYC 9124 16-Core testing with a Supermicro H13SSW (1.1 BIOS) and astdrmfb on AlmaLinux 9.2 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2310228-NE-EXTRATEST37&sor .
extra tests2 Processor Motherboard Memory Disk Graphics OS Kernel Compiler File-System Screen Resolution a b c d e f g 2 x AMD EPYC 9254 24-Core @ 2.90GHz (48 Cores / 96 Threads) Supermicro H13DSH (1.5 BIOS) 24 x 32 GB DDR5-4800MT/s Samsung M321R4GA3BB6-CQKET 2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07 astdrmfb AlmaLinux 9.2 5.14.0-284.25.1.el9_2.x86_64 (x86_64) GCC 11.3.1 20221121 ext4 1024x768 AMD EPYC 9124 16-Core @ 3.00GHz (16 Cores / 32 Threads) Supermicro H13SSW (1.1 BIOS) 12 x 64 GB DDR5-4800MT/s HMCG94MEBRA123N OpenBenchmarking.org Kernel Details - Transparent Huge Pages: always Compiler Details - --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-host-bind-now --enable-host-pie --enable-initfini-array --enable-languages=c,c++,fortran,lto --enable-link-serialization=1 --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=x86-64 --with-arch_64=x86-64-v2 --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver --without-isl Processor Details - a: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa10113e - b: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa10113e - c: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa10113e - d: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa101111 - e: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa101111 - f: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa101111 - g: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa101111 Java Details - OpenJDK Runtime Environment (Red_Hat-11.0.20.0.8-1) (build 11.0.20+8-LTS) Python Details - Python 3.9.16 Security Details - 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
extra tests2 remhos: Sample Remap Example specfem3d: Mount St. Helens specfem3d: Layered Halfspace specfem3d: Tomographic Model specfem3d: Homogeneous Halfspace specfem3d: Water-layered Halfspace nekrs: Kershaw nekrs: TurboPipe Periodic embree: Pathtracer - Crown embree: Pathtracer ISPC - Crown embree: Pathtracer - Asian Dragon embree: Pathtracer - Asian Dragon Obj embree: Pathtracer ISPC - Asian Dragon embree: Pathtracer ISPC - Asian Dragon Obj 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 oidn: RT.hdr_alb_nrm.3840x2160 - CPU-Only oidn: RT.ldr_alb_nrm.3840x2160 - CPU-Only oidn: RTLightmap.hdr.4096x4096 - CPU-Only ospray: particle_volume/ao/real_time ospray: particle_volume/scivis/real_time ospray: particle_volume/pathtracer/real_time ospray: gravity_spheres_volume/dim_512/ao/real_time ospray: gravity_spheres_volume/dim_512/scivis/real_time ospray: gravity_spheres_volume/dim_512/pathtracer/real_time build-linux-kernel: defconfig liquid-dsp: 1 - 256 - 32 liquid-dsp: 1 - 256 - 57 liquid-dsp: 2 - 256 - 32 liquid-dsp: 2 - 256 - 57 liquid-dsp: 4 - 256 - 32 liquid-dsp: 4 - 256 - 57 liquid-dsp: 8 - 256 - 32 liquid-dsp: 8 - 256 - 57 liquid-dsp: 1 - 256 - 512 liquid-dsp: 16 - 256 - 32 liquid-dsp: 16 - 256 - 57 liquid-dsp: 2 - 256 - 512 liquid-dsp: 32 - 256 - 32 liquid-dsp: 32 - 256 - 57 liquid-dsp: 4 - 256 - 512 liquid-dsp: 64 - 256 - 32 liquid-dsp: 64 - 256 - 57 liquid-dsp: 8 - 256 - 512 liquid-dsp: 96 - 256 - 32 liquid-dsp: 96 - 256 - 57 liquid-dsp: 16 - 256 - 512 liquid-dsp: 32 - 256 - 512 liquid-dsp: 64 - 256 - 512 liquid-dsp: 96 - 256 - 512 tidb: oltp_read_write - 1 tidb: oltp_read_write - 16 tidb: oltp_read_write - 32 tidb: oltp_read_write - 64 tidb: oltp_point_select - 1 tidb: oltp_read_write - 128 tidb: oltp_update_index - 1 tidb: oltp_point_select - 16 tidb: oltp_point_select - 32 tidb: oltp_point_select - 64 tidb: oltp_update_index - 16 tidb: oltp_update_index - 32 tidb: oltp_update_index - 64 tidb: oltp_point_select - 128 tidb: oltp_update_index - 128 tidb: oltp_update_non_index - 1 tidb: oltp_update_non_index - 16 tidb: oltp_update_non_index - 32 tidb: oltp_update_non_index - 64 tidb: oltp_update_non_index - 128 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 Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream deepsparse: 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 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: 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 deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2 - 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 blender: BMW27 - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Barbershop - CPU-Only blender: Pabellon Barcelona - CPU-Only openvino: Face Detection FP16 - CPU openvino: Face Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Person Detection FP32 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU cassandra: Writes hadoop: Open - 50 - 100000 hadoop: Open - 100 - 100000 hadoop: Open - 50 - 1000000 hadoop: Create - 50 - 100000 hadoop: Delete - 50 - 100000 hadoop: Open - 100 - 1000000 hadoop: Rename - 50 - 100000 hadoop: Create - 100 - 100000 hadoop: Create - 50 - 1000000 hadoop: Delete - 100 - 100000 hadoop: Delete - 50 - 1000000 hadoop: Rename - 100 - 100000 hadoop: Rename - 50 - 1000000 hadoop: Create - 100 - 1000000 hadoop: Delete - 100 - 1000000 hadoop: Rename - 100 - 1000000 hadoop: File Status - 50 - 100000 hadoop: File Status - 100 - 100000 hadoop: File Status - 50 - 1000000 hadoop: File Status - 100 - 1000000 kripke: brl-cad: VGR Performance Metric easywave: e2Asean Grid + BengkuluSept2007 Source - 240 easywave: e2Asean Grid + BengkuluSept2007 Source - 1200 easywave: e2Asean Grid + BengkuluSept2007 Source - 2400 embree: Pathtracer - Asian Dragon embree: Pathtracer - Asian Dragon Obj embree: Pathtracer - Crown embree: Pathtracer ISPC - Asian Dragon embree: Pathtracer ISPC - Asian Dragon Obj embree: Pathtracer ISPC - Crown openvkl: vklBenchmarkCPU Scalar openvkl: vklBenchmarkCPU ISPC onednn: Convolution Batch Shapes Auto - f32 - CPU onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU onednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPU onednn: Deconvolution Batch shapes_1d - f32 - CPU onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU onednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU onednn: Deconvolution Batch shapes_3d - f32 - CPU onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU onednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU onednn: IP Shapes 1D - f32 - CPU onednn: IP Shapes 1D - u8s8f32 - CPU onednn: IP Shapes 1D - bf16bf16bf16 - CPU onednn: IP Shapes 3D - f32 - CPU onednn: IP Shapes 3D - u8s8f32 - CPU onednn: IP Shapes 3D - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Training - f32 - CPU onednn: Recurrent Neural Network Training - u8s8f32 - CPU onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU onednn: Recurrent Neural Network Inference - u8s8f32 - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU oidn: RT.hdr_alb_nrm.3840x2160 - 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1643.97 849.712 851.659 841.078 0.72 0.72 0.34 30.725 26.873168455 70.542255905 26.973757395 35.535073001 61.281769124 9976450000 7955790000 21.5913 22.6566 24.7047 22.149 28.3237 23.9354 4.138 67.393 161.847 160.798 10.736 118.486 521.518 585.368 0.72 0.72 0.34 5.5732 5.55581 151.78 5.61454 5.45227 6.59563 55.148 35271000 52879000 68861000 105740000 138580000 189880000 276390000 350450000 12681000 545020000 693340000 25199000 1041900000 1024600000 49977000 1057100000 1094600000 99441000 1065300000 1120500000 194500000 273390000 283030000 285920000 3218 36125 47141 54956 5954 60310 1483 70105 97368 119092 12692 21067 130389 24830 1697 26695 34470 41424 13.0853 607.8171 508.2088 15.721 257.5046 31.0292 71.044 112.413 162.9294 49.0712 1600.5275 4.9877 71.9401 110.8852 16.1307 494.2211 162.8976 49.0714 72.5736 110.0001 109.09 73.2163 24.5238 324.9568 240.1642 33.2751 55.5428 143.6922 13.0934 606.7852 71.96 181.7 90.26 667.87 223.95 10.48 760.57 107.39 74.43 106.76 74.87 791.74 10.09 20.01 399.24 2539.97 3.14 343.49 23.28 1180.85 6.76 1038.47 15.38 3548.78 4.5 369.26 21.65 124.3 64.31 2004.76 7.97 1041.87 7.67 533.74 29.95 31951.64 0.49 431.94 37.01 44968.43 0.35 196287 578035 523560 1221001 58343 96993 1303781 81633 59382 69920 99404 111198 79491 82501 70537 110803 85815 709220 478469 1795332 1964637 236591000 295603 1.657 38.015 97.987 24.887 22.2676 21.7746 27.826 23.5042 22.4407 191 488 2.13062 1.57282 1.34183 3.81823 0.630325 3.05674 3.37956 0.850691 1.91422 2.49714 0.653182 1.00136 1.20653 0.600834 1.06144 1636.76 1636.44 1642.35 851.494 849.344 845.308 0.72 0.72 0.34 30.75 27.696631371 69.955609165 27.746475162 35.378600021 62.810924376 10500600000 7964910000 21.5847 22.7745 24.8193 22.1901 28.4793 23.8796 4.143 67.811 160.322 161.324 11.016 118.481 528.533 586.748 0.72 0.72 0.34 5.57553 5.56539 151.681 5.62278 5.47725 6.60085 55.172 35236000 52854000 68678000 104800000 138460000 190750000 277410000 357810000 12256000 543050000 682070000 22727000 1047100000 1033400000 49556000 1056200000 1099300000 100170000 1065700000 1118200000 194670000 274070000 281730000 286530000 3195 36088 46993 55301 59944 1481 69923 96840 118549 12627 17135 24574 1705 18735 34107 41695 13.073 607.1628 509.139 15.6892 257.2808 31.0574 70.9275 112.4779 162.9937 49.0259 1602.5221 4.9787 71.9003 110.9759 16.0672 495.6033 163.2282 48.9837 72.6879 109.9037 109.2191 73.1867 24.4607 325.5075 239.5176 33.3674 55.4264 144.1053 13.0596 608.7163 72.01 183.29 90.63 669.09 224.12 10.48 759.92 107.04 74.71 107.24 74.58 793.9 10.06 20.05 398.13 2557.66 3.12 341.36 23.42 1175.58 6.79 1039.37 15.37 3533.64 4.52 372.26 21.47 123.41 64.77 2006.09 7.96 1031.6 7.74 538.01 29.72 32008.03 0.49 432.2 36.98 45097.99 0.35 197092 546448 460829 654022 60680 103950 1107420 82237 58928 72706 102564 110828 80386 84810 70922 113895 85763 561798 487805 2036660 2049180 237175700 295522 1.648 37.95 97.529 24.9619 22.2559 21.8305 27.91 23.7091 22.4215 191 489 2.11813 1.55118 1.33564 3.82381 0.629108 3.05458 3.38156 0.843492 1.91274 2.51441 0.6477 1.12723 1.27918 0.61232 1.04567 1637.37 1631.99 1641.4 848.032 837.595 847.417 0.72 0.72 0.34 OpenBenchmarking.org
Remhos Test: Sample Remap Example OpenBenchmarking.org Seconds, Fewer Is Better Remhos 1.0 Test: Sample Remap Example c a b f g d e 7 14 21 28 35 16.24 16.35 16.79 30.73 30.75 30.76 30.85 1. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
SPECFEM3D Model: Mount St. Helens OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Mount St. Helens a b c d e f g 7 14 21 28 35 11.02 11.32 11.33 26.74 26.80 26.87 27.70 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi
SPECFEM3D Model: Layered Halfspace OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Layered Halfspace a c b g e f d 16 32 48 64 80 26.89 27.49 28.65 69.96 70.19 70.54 71.61 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi
SPECFEM3D Model: Tomographic Model OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Tomographic Model c b a f d e g 7 14 21 28 35 12.04 12.10 12.31 26.97 27.33 27.46 27.75 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi
SPECFEM3D Model: Homogeneous Halfspace OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Homogeneous Halfspace b c a e g f d 8 16 24 32 40 14.46 14.81 15.11 35.03 35.38 35.54 35.57 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi
SPECFEM3D Model: Water-layered Halfspace OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Water-layered Halfspace a c b f e d g 14 28 42 56 70 26.99 27.06 29.46 61.28 62.33 62.44 62.81 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi
nekRS Input: Kershaw OpenBenchmarking.org flops/rank, More Is Better nekRS 23.0 Input: Kershaw b a c g d e f 2000M 4000M 6000M 8000M 10000M 11240300000 11106900000 10826700000 10500600000 10318900000 10264000000 9976450000 1. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
nekRS Input: TurboPipe Periodic OpenBenchmarking.org flops/rank, More Is Better nekRS 23.0 Input: TurboPipe Periodic g f d e a b c 2000M 4000M 6000M 8000M 10000M 7964910000 7955790000 7934570000 7931010000 6767710000 6757360000 6754170000 1. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
Embree Binary: Pathtracer - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.1 Binary: Pathtracer - Model: Crown c b a f g d e 12 24 36 48 60 55.40 55.39 54.90 21.59 21.58 21.48 21.44 MIN: 53.71 / MAX: 58.99 MIN: 54.02 / MAX: 57.64 MIN: 53.27 / MAX: 57.28 MIN: 21.45 / MAX: 21.84 MIN: 21.43 / MAX: 21.89 MIN: 21.32 / MAX: 21.8 MIN: 21.3 / MAX: 21.78
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.1 Binary: Pathtracer ISPC - Model: Crown c b a g f d e 13 26 39 52 65 56.81 56.46 56.09 22.77 22.66 22.59 22.57 MIN: 55.27 / MAX: 59.91 MIN: 54.53 / MAX: 59.89 MIN: 54.05 / MAX: 59.82 MIN: 22.57 / MAX: 23.16 MIN: 22.45 / MAX: 22.99 MIN: 22.39 / MAX: 22.98 MIN: 22.39 / MAX: 22.93
Embree Binary: Pathtracer - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.1 Binary: Pathtracer - Model: Asian Dragon a b c g e f d 13 26 39 52 65 60.14 59.91 59.79 24.82 24.73 24.70 24.69 MIN: 58.97 / MAX: 62 MIN: 58.66 / MAX: 61.96 MIN: 58.46 / MAX: 62.03 MIN: 24.74 / MAX: 25 MIN: 24.67 / MAX: 24.86 MIN: 24.63 / MAX: 24.84 MIN: 24.62 / MAX: 24.84
Embree Binary: Pathtracer - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.1 Binary: Pathtracer - Model: Asian Dragon Obj b c a d g e f 12 24 36 48 60 53.81 53.69 53.57 22.26 22.19 22.16 22.15 MIN: 52.72 / MAX: 55.86 MIN: 52.63 / MAX: 55.24 MIN: 52.17 / MAX: 55.38 MIN: 22.18 / MAX: 22.42 MIN: 22.12 / MAX: 22.33 MIN: 22.08 / MAX: 22.35 MIN: 22.07 / MAX: 22.32
Embree Binary: Pathtracer ISPC - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.1 Binary: Pathtracer ISPC - Model: Asian Dragon c a b g d f e 15 30 45 60 75 67.50 67.34 67.20 28.48 28.36 28.32 28.31 MIN: 65.64 / MAX: 71.17 MIN: 65.61 / MAX: 70.54 MIN: 65.48 / MAX: 70.41 MIN: 28.37 / MAX: 28.69 MIN: 28.26 / MAX: 28.59 MIN: 28.23 / MAX: 28.55 MIN: 28.21 / MAX: 28.56
Embree Binary: Pathtracer ISPC - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.1 Binary: Pathtracer ISPC - Model: Asian Dragon Obj c b a e f g d 13 26 39 52 65 56.93 56.69 56.49 23.94 23.94 23.88 23.87 MIN: 55.56 / MAX: 59.67 MIN: 55.42 / MAX: 58.97 MIN: 55.29 / MAX: 58.38 MIN: 23.84 / MAX: 24.18 MIN: 23.84 / MAX: 24.16 MIN: 23.79 / MAX: 24.08 MIN: 23.78 / MAX: 24.08
SVT-AV1 Encoder Mode: Preset 4 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.7 Encoder Mode: Preset 4 - Input: Bosphorus 4K a b c g f e d 1.1707 2.3414 3.5121 4.6828 5.8535 5.203 5.149 5.049 4.143 4.138 4.114 4.107 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.7 Encoder Mode: Preset 8 - Input: Bosphorus 4K b a c g e f d 20 40 60 80 100 91.32 90.81 90.42 67.81 67.72 67.39 66.99 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 12 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.7 Encoder Mode: Preset 12 - Input: Bosphorus 4K b a d c e f g 40 80 120 160 200 166.38 163.46 163.19 163.06 162.61 161.85 160.32 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 1.7 Encoder Mode: Preset 13 - Input: Bosphorus 4K b a e d c g f 40 80 120 160 200 166.69 163.01 162.05 161.85 161.50 161.32 160.80 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 4 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.7 Encoder Mode: Preset 4 - Input: Bosphorus 1080p c b a g e d f 3 6 9 12 15 12.62 12.59 12.48 11.02 10.98 10.91 10.74 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.7 Encoder Mode: Preset 8 - Input: Bosphorus 1080p c a b e d f g 30 60 90 120 150 143.55 141.22 138.34 119.31 118.95 118.49 118.48 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 12 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.7 Encoder Mode: Preset 12 - Input: Bosphorus 1080p g d e f c b a 110 220 330 440 550 528.53 526.22 525.17 521.52 431.90 427.69 422.99 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 13 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.7 Encoder Mode: Preset 13 - Input: Bosphorus 1080p d e g f b c a 130 260 390 520 650 604.99 597.01 586.75 585.37 542.61 516.91 510.36 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
Intel Open Image Denoise Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.0 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only c b a g f e d 0.4118 0.8236 1.2354 1.6472 2.059 1.83 1.83 1.83 0.72 0.72 0.72 0.72
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 b a c g f e d 0.414 0.828 1.242 1.656 2.07 1.84 1.84 1.82 0.72 0.72 0.72 0.72
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 c b a g f e d 0.1958 0.3916 0.5874 0.7832 0.979 0.87 0.86 0.86 0.34 0.34 0.34 0.34
OSPRay Benchmark: particle_volume/ao/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/ao/real_time c a b g d f e 4 8 12 16 20 15.98720 15.98600 15.97850 5.57553 5.57469 5.57320 5.54107
OSPRay Benchmark: particle_volume/scivis/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/scivis/real_time b c a d g e f 4 8 12 16 20 15.98880 15.97780 15.95280 5.57001 5.56539 5.56353 5.55581
OSPRay Benchmark: particle_volume/pathtracer/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/pathtracer/real_time a c b d f g e 50 100 150 200 250 215.10 214.14 214.07 151.91 151.78 151.68 151.51
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 a b c g e f d 4 8 12 16 20 14.23690 14.17830 14.13990 5.62278 5.62040 5.61454 5.60747
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 a c b g e d f 4 8 12 16 20 13.87390 13.83170 13.76660 5.47725 5.46153 5.45329 5.45227
OSPRay Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time c b a g f d e 4 8 12 16 20 16.53500 16.43650 16.34680 6.60085 6.59563 6.58745 6.58270
Timed Linux Kernel Compilation Build: defconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: defconfig b a c e f g d 12 24 36 48 60 27.24 27.35 27.41 55.09 55.15 55.17 55.17
Liquid-DSP Threads: 1 - Buffer Length: 256 - Filter Length: 32 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 1 - Buffer Length: 256 - Filter Length: 32 a b c e f g d 8M 16M 24M 32M 40M 39499000 39486000 39453000 35315000 35271000 35236000 35228000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 1 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 1 - Buffer Length: 256 - Filter Length: 57 a b c f g e d 13M 26M 39M 52M 65M 59401000 59296000 57519000 52879000 52854000 52827000 52665000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 2 - Buffer Length: 256 - Filter Length: 32 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 2 - Buffer Length: 256 - Filter Length: 32 a b c f e g d 17M 34M 51M 68M 85M 77181000 77019000 76924000 68861000 68846000 68678000 67054000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 2 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 2 - Buffer Length: 256 - Filter Length: 57 c a b f d e g 30M 60M 90M 120M 150M 118550000 117490000 114010000 105740000 105650000 105480000 104800000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 4 - Buffer Length: 256 - Filter Length: 32 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 4 - Buffer Length: 256 - Filter Length: 32 a b c e d f g 30M 60M 90M 120M 150M 153850000 153690000 153670000 138620000 138600000 138580000 138460000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 4 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 4 - Buffer Length: 256 - Filter Length: 57 b a c e g f d 40M 80M 120M 160M 200M 196590000 196220000 194510000 191230000 190750000 189880000 188930000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 8 - Buffer Length: 256 - Filter Length: 32 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 8 - Buffer Length: 256 - Filter Length: 32 a c b d e g f 70M 140M 210M 280M 350M 307540000 306760000 305110000 278030000 277780000 277410000 276390000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 8 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 8 - Buffer Length: 256 - Filter Length: 57 a c b d e g f 80M 160M 240M 320M 400M 369430000 366990000 366930000 363310000 357990000 357810000 350450000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 1 - Buffer Length: 256 - Filter Length: 512 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 1 - Buffer Length: 256 - Filter Length: 512 c b a d f e g 3M 6M 9M 12M 15M 14225000 14021000 13909000 12683000 12681000 12366000 12256000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 16 - Buffer Length: 256 - Filter Length: 32 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 16 - Buffer Length: 256 - Filter Length: 32 c b a d e f g 130M 260M 390M 520M 650M 603650000 602470000 594230000 545360000 545140000 545020000 543050000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 16 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 16 - Buffer Length: 256 - Filter Length: 57 a f e b d g c 150M 300M 450M 600M 750M 699740000 693340000 692920000 692760000 689150000 682070000 674930000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 2 - Buffer Length: 256 - Filter Length: 512 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 2 - Buffer Length: 256 - Filter Length: 512 c a b e f d g 6M 12M 18M 24M 30M 28227000 27901000 27736000 25207000 25199000 24627000 22727000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 32 - Buffer Length: 256 - Filter Length: 32 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 32 - Buffer Length: 256 - Filter Length: 32 b c a g d e f 300M 600M 900M 1200M 1500M 1190300000 1184800000 1183500000 1047100000 1047100000 1046600000 1041900000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 32 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 32 - Buffer Length: 256 - Filter Length: 57 c b a d g e f 300M 600M 900M 1200M 1500M 1254800000 1214200000 1192100000 1035000000 1033400000 1032000000 1024600000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 4 - Buffer Length: 256 - Filter Length: 512 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 4 - Buffer Length: 256 - Filter Length: 512 b c a e d f g 12M 24M 36M 48M 60M 55588000 55165000 52911000 50380000 50258000 49977000 49556000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 64 - Buffer Length: 256 - Filter Length: 32 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 64 - Buffer Length: 256 - Filter Length: 32 b a c d e f g 500M 1000M 1500M 2000M 2500M 2212100000 2207700000 2206800000 1059500000 1057500000 1057100000 1056200000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 64 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 64 - Buffer Length: 256 - Filter Length: 57 c b a g e f d 400M 800M 1200M 1600M 2000M 2010300000 2001900000 1994400000 1099300000 1095400000 1094600000 1093300000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 8 - Buffer Length: 256 - Filter Length: 512 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 8 - Buffer Length: 256 - Filter Length: 512 a c b g d f e 20M 40M 60M 80M 100M 109870000 109140000 108080000 100170000 99594000 99441000 97005000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 96 - Buffer Length: 256 - Filter Length: 32 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 96 - Buffer Length: 256 - Filter Length: 32 a c b g f d e 600M 1200M 1800M 2400M 3000M 3005800000 2999800000 2995400000 1065700000 1065300000 1065200000 1065100000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 96 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 96 - Buffer Length: 256 - Filter Length: 57 b c a d f g e 600M 1200M 1800M 2400M 3000M 2571100000 2564900000 2559800000 1120800000 1120500000 1118200000 1117800000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 16 - Buffer Length: 256 - Filter Length: 512 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 16 - Buffer Length: 256 - Filter Length: 512 b a c e g f d 50M 100M 150M 200M 250M 216150000 216080000 214910000 196040000 194670000 194500000 193850000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 32 - Buffer Length: 256 - Filter Length: 512 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 32 - Buffer Length: 256 - Filter Length: 512 b a c g d e f 90M 180M 270M 360M 450M 429620000 425810000 424400000 274070000 273760000 273480000 273390000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 64 - Buffer Length: 256 - Filter Length: 512 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 64 - Buffer Length: 256 - Filter Length: 512 c a b f d e g 130M 260M 390M 520M 650M 622630000 622560000 610950000 283030000 282920000 281830000 281730000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 96 - Buffer Length: 256 - Filter Length: 512 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 1.6 Threads: 96 - Buffer Length: 256 - Filter Length: 512 b c a g d f e 150M 300M 450M 600M 750M 718140000 715030000 711640000 286530000 286250000 285920000 285880000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
TiDB Community Server Test: oltp_read_write - Threads: 1 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_read_write - Threads: 1 f e g a b c 700 1400 2100 2800 3500 3218 3209 3195 2540 2510 2485
TiDB Community Server Test: oltp_read_write - Threads: 16 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_read_write - Threads: 16 a c b e d f g 8K 16K 24K 32K 40K 38331 37368 36950 36784 36480 36125 36088
TiDB Community Server Test: oltp_read_write - Threads: 32 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_read_write - Threads: 32 b c a f g d e 13K 26K 39K 52K 65K 61520 59630 58974 47141 46993 46977 46737
TiDB Community Server Test: oltp_read_write - Threads: 64 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_read_write - Threads: 64 b a c d g f e 20K 40K 60K 80K 100K 80183 79090 78469 55334 55301 54956 53893
TiDB Community Server Test: oltp_point_select - Threads: 1 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_point_select - Threads: 1 e f d c b a 1300 2600 3900 5200 6500 5976 5954 5898 4471 4405 4331
TiDB Community Server Test: oltp_read_write - Threads: 128 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_read_write - Threads: 128 b a f e g d 20K 40K 60K 80K 100K 89099 85757 60310 60145 59944 59727
TiDB Community Server Test: oltp_update_index - Threads: 1 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_update_index - Threads: 1 e f g d a c 300 600 900 1200 1500 1490 1483 1481 1479 1212 1189
TiDB Community Server Test: oltp_point_select - Threads: 16 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_point_select - Threads: 16 e f g b c 15K 30K 45K 60K 75K 70250 70105 69923 67515 65406
TiDB Community Server Test: oltp_point_select - Threads: 32 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_point_select - Threads: 32 b a d f e g 20K 40K 60K 80K 100K 106180 104627 98149 97368 96907 96840
TiDB Community Server Test: oltp_point_select - Threads: 64 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_point_select - Threads: 64 b a f e g d 30K 60K 90K 120K 150K 130802 127567 119092 118657 118549 115675
TiDB Community Server Test: oltp_update_index - Threads: 16 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_update_index - Threads: 16 f c g d e a 3K 6K 9K 12K 15K 12692 12681 12627 12622 12567 12558
TiDB Community Server Test: oltp_update_index - Threads: 32 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_update_index - Threads: 32 a b d c g e 4K 8K 12K 16K 20K 18361 17817 17612 17565 17135 17117
TiDB Community Server Test: oltp_update_index - Threads: 64 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_update_index - Threads: 64 b c e d f 5K 10K 15K 20K 25K 24371 23324 21271 21108 21067
TiDB Community Server Test: oltp_point_select - Threads: 128 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_point_select - Threads: 128 b a c f e d 30K 60K 90K 120K 150K 159728 159242 149962 130389 129904 129492
TiDB Community Server Test: oltp_update_index - Threads: 128 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_update_index - Threads: 128 b a c f e g 6K 12K 18K 24K 30K 27464 27087 26546 24830 24611 24574
TiDB Community Server Test: oltp_update_non_index - Threads: 1 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_update_non_index - Threads: 1 e g f d c a b 400 800 1200 1600 2000 1708 1705 1697 1693 1381 1328 1312
TiDB Community Server Test: oltp_update_non_index - Threads: 16 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_update_non_index - Threads: 16 g d e a b 4K 8K 12K 16K 20K 18735 18563 18557 18095 18068
TiDB Community Server Test: oltp_update_non_index - Threads: 32 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_update_non_index - Threads: 32 b a f e d 6K 12K 18K 24K 30K 28914 28735 26695 26285 26273
TiDB Community Server Test: oltp_update_non_index - Threads: 64 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_update_non_index - Threads: 64 a b c f d g e 9K 18K 27K 36K 45K 41281 39759 39106 34470 34224 34107 33881
TiDB Community Server Test: oltp_update_non_index - Threads: 128 OpenBenchmarking.org Queries Per Second, More Is Better TiDB Community Server 7.3 Test: oltp_update_non_index - Threads: 128 c a e g f 11K 22K 33K 44K 55K 52865 51105 42138 41695 41424
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 a b c f g d e 9 18 27 36 45 39.50 39.47 39.45 13.09 13.07 13.07 12.94
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 a b c d g f e 130 260 390 520 650 605.04 605.73 605.92 606.10 607.16 607.82 607.91
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 c a b e g f d 300 600 900 1200 1500 1418.90 1417.07 1403.07 511.41 509.14 508.21 508.09
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 e g f d c a b 4 8 12 16 20 15.62 15.69 15.72 15.72 16.89 16.91 17.07
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 a b c e f g d 150 300 450 600 750 672.46 672.37 671.26 257.89 257.50 257.28 257.27
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 e f d g a b c 8 16 24 32 40 30.99 31.03 31.05 31.06 35.63 35.64 35.68
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 c a b e d f g 40 80 120 160 200 201.54 201.39 201.25 71.27 71.14 71.04 70.93
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 e d f g a c b 30 60 90 120 150 112.06 112.25 112.41 112.48 118.75 118.78 118.95
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 c b a e g f d 110 220 330 440 550 489.11 488.13 485.67 163.14 162.99 162.93 162.85
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 e c g f d b a 11 22 33 44 55 49.01 49.02 49.03 49.07 49.09 49.11 49.37
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 c b a g f d e 1100 2200 3300 4400 5500 5153.66 5138.83 5137.01 1602.52 1600.53 1599.21 1599.15
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 c b a g e f d 1.1241 2.2482 3.3723 4.4964 5.6205 4.6348 4.6476 4.6508 4.9787 4.9859 4.9877 4.9960
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 b c a f d e g 50 100 150 200 250 215.93 215.65 215.64 71.94 71.92 71.91 71.90
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 f b g a c e d 20 40 60 80 100 110.89 110.92 110.98 111.01 111.03 111.09 111.11
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 a b c d e f g 11 22 33 44 55 49.33 49.17 47.15 16.16 16.14 16.13 16.07
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 a b d f e g c 110 220 330 440 550 485.72 487.36 493.60 494.22 494.26 495.60 507.48
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 b a c d g e f 110 220 330 440 550 489.45 489.12 487.05 163.56 163.23 162.93 162.90
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 d b g a e f c 11 22 33 44 55 48.87 48.97 48.98 49.01 49.06 49.07 49.21
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 b c a g e f d 50 100 150 200 250 219.53 218.52 218.15 72.69 72.66 72.57 72.46
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 b c a g e f d 20 40 60 80 100 109.23 109.58 109.80 109.90 109.97 110.00 110.11
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 a c b g e f d 70 140 210 280 350 322.25 321.51 321.18 109.22 109.09 109.09 108.91
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 g f e d a c b 20 40 60 80 100 73.19 73.22 73.26 73.31 74.32 74.50 74.56
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 b c a f d e g 15 30 45 60 75 68.66 68.63 68.60 24.52 24.48 24.47 24.46
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 f g e d b c a 80 160 240 320 400 324.96 325.51 325.74 325.88 347.22 347.37 347.66
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 a b c d e f g 160 320 480 640 800 718.92 717.97 716.14 240.55 240.23 240.16 239.52
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 d e f a g b c 8 16 24 32 40 33.22 33.26 33.28 33.34 33.37 33.38 33.46
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 c b a d f e g 40 80 120 160 200 164.61 159.06 158.92 55.61 55.54 55.46 55.43
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 f d e g c a b 30 60 90 120 150 143.69 143.76 144.10 144.11 145.26 150.59 150.61
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 b a c d e f g 9 18 27 36 45 39.45 39.44 39.42 13.13 13.12 13.09 13.06
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 a c d b e f g 130 260 390 520 650 605.76 605.88 606.58 606.67 606.76 606.79 608.72
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: BMW27 - Compute: CPU-Only c a b e f d g 16 32 48 64 80 26.12 26.20 26.24 71.44 71.96 72.00 72.01
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Classroom - Compute: CPU-Only a b c f e d g 40 80 120 160 200 66.42 66.64 66.72 181.70 182.56 182.99 183.29
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Fishy Cat - Compute: CPU-Only c b a d f e g 20 40 60 80 100 33.03 33.17 33.22 90.03 90.26 90.31 90.63
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Barbershop - Compute: CPU-Only c a b f g e d 140 280 420 560 700 254.72 254.88 255.30 667.87 669.09 670.64 670.87
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Pabellon Barcelona - Compute: CPU-Only c a b f e g d 50 100 150 200 250 80.41 80.54 80.76 223.95 224.10 224.12 224.15
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Face Detection FP16 - Device: CPU b c a g f e d 7 14 21 28 35 30.44 30.43 30.41 10.48 10.48 10.47 10.47 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection FP16 - Device: CPU b c a g f e d 160 320 480 640 800 393.23 393.37 393.60 759.92 760.57 761.16 761.59 MIN: 360.87 / MAX: 433.13 MIN: 362.57 / MAX: 433.51 MIN: 363.29 / MAX: 431.61 MIN: 737.63 / MAX: 771.07 MIN: 741.4 / MAX: 770.88 MIN: 741.99 / MAX: 776.56 MIN: 738.34 / MAX: 772.36 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Person Detection FP16 - Device: CPU b c a f e g d 60 120 180 240 300 284.22 282.67 282.55 107.39 107.27 107.04 107.02 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Person Detection FP16 - Device: CPU b c a f e d g 20 40 60 80 100 42.20 42.43 42.44 74.43 74.50 74.71 74.71 MIN: 36.84 / MAX: 61.97 MIN: 36.31 / MAX: 62.36 MIN: 36.14 / MAX: 61.98 MIN: 65.68 / MAX: 83.49 MIN: 66.5 / MAX: 80.32 MIN: 66.12 / MAX: 81.09 MIN: 66.29 / MAX: 79.68 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Person Detection FP32 - Device: CPU b c a g e d f 60 120 180 240 300 284.99 284.31 283.97 107.24 107.24 106.90 106.76 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Person Detection FP32 - Device: CPU b c a e g d f 20 40 60 80 100 42.09 42.19 42.24 74.54 74.58 74.81 74.87 MIN: 37.13 / MAX: 58.71 MIN: 36.21 / MAX: 65.64 MIN: 36.59 / MAX: 61.56 MIN: 65.97 / MAX: 82.9 MIN: 67.63 / MAX: 78.73 MIN: 66.88 / MAX: 80.7 MIN: 66.72 / MAX: 80.96 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16 - Device: CPU a c b d g e f 400 800 1200 1600 2000 2033.17 2029.79 2028.01 797.64 793.90 793.75 791.74 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16 - Device: CPU a c b d e g f 3 6 9 12 15 5.89 5.90 5.91 10.01 10.06 10.06 10.09 MIN: 4.67 / MAX: 18.4 MIN: 4.83 / MAX: 13.4 MIN: 4.84 / MAX: 12.9 MIN: 5.7 / MAX: 19.52 MIN: 5.29 / MAX: 19.07 MIN: 5.2 / MAX: 19.38 MIN: 5.4 / MAX: 19.17 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Face Detection FP16-INT8 - Device: CPU b c a g d f e 13 26 39 52 65 56.06 56.02 56.01 20.05 20.03 20.01 20.00 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection FP16-INT8 - Device: CPU b c a g d e f 90 180 270 360 450 213.62 213.79 213.94 398.13 398.52 398.91 399.24 MIN: 197.2 / MAX: 235.23 MIN: 197.29 / MAX: 236.32 MIN: 201.64 / MAX: 242.71 MIN: 379.09 / MAX: 404.71 MIN: 382.1 / MAX: 404.98 MIN: 386.2 / MAX: 407.29 MIN: 387.9 / MAX: 408.93 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Face Detection Retail FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Face Detection Retail FP16 - Device: CPU a c b d e g f 1300 2600 3900 5200 6500 5882.91 5840.53 5836.27 2564.78 2562.54 2557.66 2539.97 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Face Detection Retail FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection Retail FP16 - Device: CPU a b c d e g f 0.7065 1.413 2.1195 2.826 3.5325 2.03 2.05 2.05 3.11 3.11 3.12 3.14 MIN: 1.66 / MAX: 7.51 MIN: 1.6 / MAX: 7 MIN: 1.62 / MAX: 6.96 MIN: 1.94 / MAX: 11.57 MIN: 1.93 / MAX: 9.72 MIN: 1.88 / MAX: 11.92 MIN: 1.93 / MAX: 11.65 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Road Segmentation ADAS FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Road Segmentation ADAS FP16 - Device: CPU c b a d f e g 160 320 480 640 800 757.38 750.49 748.44 344.67 343.49 342.81 341.36 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Road Segmentation ADAS FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Road Segmentation ADAS FP16 - Device: CPU c b a d f e g 6 12 18 24 30 15.83 15.98 16.02 23.20 23.28 23.32 23.42 MIN: 12.38 / MAX: 32.97 MIN: 12.74 / MAX: 33.34 MIN: 12.5 / MAX: 33.94 MIN: 15.1 / MAX: 31.6 MIN: 15.73 / MAX: 30.77 MIN: 19.49 / MAX: 30.99 MIN: 20.46 / MAX: 32.43 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16-INT8 - Device: CPU c b a f d g e 600 1200 1800 2400 3000 2881.14 2880.58 2873.24 1180.85 1175.67 1175.58 1174.60 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Vehicle Detection FP16-INT8 - Device: CPU b c a f d g e 2 4 6 8 10 4.16 4.16 4.17 6.76 6.79 6.79 6.80 MIN: 3.42 / MAX: 11.2 MIN: 3.43 / MAX: 10.26 MIN: 3.39 / MAX: 10.07 MIN: 4.04 / MAX: 15.47 MIN: 3.8 / MAX: 15.48 MIN: 3.79 / MAX: 15.41 MIN: 4.04 / MAX: 15.37 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16 - Device: CPU c b a e d g f 600 1200 1800 2400 3000 2987.33 2986.46 2945.26 1039.82 1039.61 1039.37 1038.47 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16 - Device: CPU d e g f b c a 4 8 12 16 20 15.36 15.36 15.37 15.38 16.02 16.02 16.26 MIN: 8.08 / MAX: 24.34 MIN: 8.02 / MAX: 23.81 MIN: 7.99 / MAX: 23.98 MIN: 7.99 / MAX: 24 MIN: 14.41 / MAX: 30.55 MIN: 14.63 / MAX: 33.79 MIN: 14.71 / MAX: 28.14 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Face Detection Retail FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Face Detection Retail FP16-INT8 - Device: CPU b c a f e d g 2K 4K 6K 8K 10K 9849.07 9845.27 9837.58 3548.78 3544.18 3540.88 3533.64 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Face Detection Retail FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection Retail FP16-INT8 - Device: CPU f d e g b a c 1.0935 2.187 3.2805 4.374 5.4675 4.50 4.51 4.51 4.52 4.85 4.86 4.86 MIN: 2.98 / MAX: 13.86 MIN: 2.98 / MAX: 13.05 MIN: 2.96 / MAX: 16.06 MIN: 2.77 / MAX: 13.57 MIN: 4.25 / MAX: 12.86 MIN: 4.23 / MAX: 12.81 MIN: 4.34 / MAX: 12.27 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Road Segmentation ADAS FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU b c a e g d f 200 400 600 800 1000 854.51 849.30 842.91 373.64 372.26 370.57 369.26 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Road Segmentation ADAS FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU b c a e g d f 5 10 15 20 25 14.03 14.12 14.23 21.40 21.47 21.57 21.65 MIN: 11.59 / MAX: 26.04 MIN: 11.51 / MAX: 26.04 MIN: 11.51 / MAX: 25.86 MIN: 19.07 / MAX: 25.3 MIN: 17.62 / MAX: 28.13 MIN: 19.5 / MAX: 24.76 MIN: 19.48 / MAX: 24.27 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Machine Translation EN To DE FP16 - Device: CPU c b a f d e g 70 140 210 280 350 317.33 317.28 317.22 124.30 124.12 123.61 123.41 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Machine Translation EN To DE FP16 - Device: CPU b c a f d e g 14 28 42 56 70 37.79 37.79 37.80 64.31 64.41 64.68 64.77 MIN: 32.97 / MAX: 53.7 MIN: 33.29 / MAX: 54.88 MIN: 33.35 / MAX: 56.45 MIN: 50.85 / MAX: 70.77 MIN: 37.44 / MAX: 73.04 MIN: 38.02 / MAX: 72.52 MIN: 55.8 / MAX: 69.46 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16-INT8 - Device: CPU c b a d e g f 1200 2400 3600 4800 6000 5802.65 5780.44 5776.94 2013.77 2007.53 2006.09 2004.76 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Weld Porosity Detection FP16-INT8 - Device: CPU d e g f c b a 2 4 6 8 10 7.93 7.96 7.96 7.97 8.24 8.27 8.28 MIN: 4.2 / MAX: 16.92 MIN: 4.19 / MAX: 16.59 MIN: 4.19 / MAX: 14.2 MIN: 4.37 / MAX: 16.86 MIN: 7.62 / MAX: 23.32 MIN: 7.37 / MAX: 25.18 MIN: 7.44 / MAX: 23.35 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Person Vehicle Bike Detection FP16 - Device: CPU c a b f d g e 500 1000 1500 2000 2500 2455.51 2454.09 2450.26 1041.87 1036.99 1031.60 1028.64 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Person Vehicle Bike Detection FP16 - Device: CPU a c b f d g e 2 4 6 8 10 4.88 4.88 4.89 7.67 7.70 7.74 7.77 MIN: 3.95 / MAX: 16.05 MIN: 3.9 / MAX: 14.94 MIN: 3.93 / MAX: 13.44 MIN: 5.32 / MAX: 16.6 MIN: 5.51 / MAX: 16.06 MIN: 6.06 / MAX: 12.66 MIN: 5.42 / MAX: 16.35 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Handwritten English Recognition FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16 - Device: CPU a c b g f d e 300 600 900 1200 1500 1560.03 1551.63 1546.02 538.01 533.74 532.59 530.99 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Handwritten English Recognition FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16 - Device: CPU g f d e a c b 7 14 21 28 35 29.72 29.95 30.02 30.10 30.72 30.89 31.00 MIN: 19.46 / MAX: 38.99 MIN: 19.01 / MAX: 38.08 MIN: 18.78 / MAX: 38.72 MIN: 22.61 / MAX: 39.15 MIN: 29.51 / MAX: 35.07 MIN: 29.48 / MAX: 36.29 MIN: 29.59 / MAX: 36.33 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU b a c e g d f 20K 40K 60K 80K 100K 87359.23 86884.64 86789.80 32032.06 32008.03 32002.62 31951.64 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU d e f g a b c 0.1215 0.243 0.3645 0.486 0.6075 0.49 0.49 0.49 0.49 0.54 0.54 0.54 MIN: 0.3 / MAX: 9.28 MIN: 0.3 / MAX: 9.07 MIN: 0.3 / MAX: 8.2 MIN: 0.3 / MAX: 8.84 MIN: 0.45 / MAX: 7.64 MIN: 0.45 / MAX: 7.81 MIN: 0.45 / MAX: 5.03 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Handwritten English Recognition FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16-INT8 - Device: CPU a b c e g f d 300 600 900 1200 1500 1244.69 1239.67 1237.29 432.32 432.20 431.94 395.66 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Handwritten English Recognition FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Handwritten English Recognition FP16-INT8 - Device: CPU e g f a b c d 9 18 27 36 45 36.98 36.98 37.01 38.50 38.66 38.75 40.40 MIN: 32.02 / MAX: 44.78 MIN: 32.61 / MAX: 41.91 MIN: 32.25 / MAX: 43.6 MIN: 36.77 / MAX: 44.23 MIN: 37.22 / MAX: 43.52 MIN: 37.46 / MAX: 43.52 MIN: 26.93 / MAX: 74.83 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU c b a g f d e 30K 60K 90K 120K 150K 123484.28 120728.22 120606.38 45097.99 44968.43 44958.07 44933.27 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU a b c d e f g 0.0788 0.1576 0.2364 0.3152 0.394 0.34 0.34 0.34 0.35 0.35 0.35 0.35 MIN: 0.29 / MAX: 7.33 MIN: 0.29 / MAX: 10.87 MIN: 0.29 / MAX: 7.09 MIN: 0.23 / MAX: 9.09 MIN: 0.23 / MAX: 8.84 MIN: 0.23 / MAX: 9.15 MIN: 0.23 / MAX: 8.63 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
Apache Cassandra Test: Writes OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 4.1.3 Test: Writes c b a d g f e 60K 120K 180K 240K 300K 270480 256661 248095 197866 197092 196287 195798
Apache Hadoop Operation: Open - Threads: 50 - Files: 100000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Open - Threads: 50 - Files: 100000 f d e g b a c 120K 240K 360K 480K 600K 578035 578035 552486 546448 469484 460829 401606
Apache Hadoop Operation: Open - Threads: 100 - Files: 100000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Open - Threads: 100 - Files: 100000 d f g a b c e 110K 220K 330K 440K 550K 529101 523560 460829 420168 404858 403226 294985
Apache Hadoop Operation: Open - Threads: 50 - Files: 1000000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Open - Threads: 50 - Files: 1000000 f a b c g d e 300K 600K 900K 1200K 1500K 1221001 1126126 1020408 683995 654022 278319 251004
Apache Hadoop Operation: Create - Threads: 50 - Files: 100000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Create - Threads: 50 - Files: 100000 g e d f c a b 13K 26K 39K 52K 65K 60680 58617 58617 58343 43937 43649 41288
Apache Hadoop Operation: Delete - Threads: 50 - Files: 100000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Delete - Threads: 50 - Files: 100000 g d e f a c b 20K 40K 60K 80K 100K 103950 101010 100604 96993 91075 90580 73801
Apache Hadoop Operation: Open - Threads: 100 - Files: 1000000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Open - Threads: 100 - Files: 1000000 f d e g a c b 300K 600K 900K 1200K 1500K 1303781 1248439 1204819 1107420 215332 185874 173822
Apache Hadoop Operation: Rename - Threads: 50 - Files: 100000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Rename - Threads: 50 - Files: 100000 d g e f c b a 20K 40K 60K 80K 100K 82372 82237 82237 81633 77101 73046 70522
Apache Hadoop Operation: Create - Threads: 100 - Files: 100000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Create - Threads: 100 - Files: 100000 f g e d a b c 13K 26K 39K 52K 65K 59382 58928 58824 57971 40733 37425 35075
Apache Hadoop Operation: Create - Threads: 50 - Files: 1000000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Create - Threads: 50 - Files: 1000000 g d e f a c b 16K 32K 48K 64K 80K 72706 72134 70897 69920 53665 52260 52119
Apache Hadoop Operation: Delete - Threads: 100 - Files: 100000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Delete - Threads: 100 - Files: 100000 d g f e b a c 20K 40K 60K 80K 100K 105708 102564 99404 98039 90827 87566 73475
Apache Hadoop Operation: Delete - Threads: 50 - Files: 1000000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Delete - Threads: 50 - Files: 1000000 e f d g a b c 20K 40K 60K 80K 100K 113327 111198 111012 110828 98932 97314 90147
Apache Hadoop Operation: Rename - Threads: 100 - Files: 100000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Rename - Threads: 100 - Files: 100000 e d g f a b c 20K 40K 60K 80K 100K 83822 82102 80386 79491 75529 69348 67159
Apache Hadoop Operation: Rename - Threads: 50 - Files: 1000000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Rename - Threads: 50 - Files: 1000000 g e d f c a b 20K 40K 60K 80K 100K 84810 84041 83921 82501 74638 73239 71679
Apache Hadoop Operation: Create - Threads: 100 - Files: 1000000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Create - Threads: 100 - Files: 1000000 d g f e a b c 15K 30K 45K 60K 75K 71296 70922 70537 70057 46145 44437 44001
Apache Hadoop Operation: Delete - Threads: 100 - Files: 1000000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Delete - Threads: 100 - Files: 1000000 g e d f c a b 20K 40K 60K 80K 100K 113895 113225 112613 110803 97031 90114 86715
Apache Hadoop Operation: Rename - Threads: 100 - Files: 1000000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: Rename - Threads: 100 - Files: 1000000 f g e d a b c 20K 40K 60K 80K 100K 85815 85763 84360 81208 73078 72129 66827
Apache Hadoop Operation: File Status - Threads: 50 - Files: 100000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: File Status - Threads: 50 - Files: 100000 b f c d g a e 200K 400K 600K 800K 1000K 862069 709220 657895 632911 561798 529101 389105
Apache Hadoop Operation: File Status - Threads: 100 - Files: 100000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: File Status - Threads: 100 - Files: 100000 c e d a g f b 160K 320K 480K 640K 800K 729927 613497 591716 515464 487805 478469 458716
Apache Hadoop Operation: File Status - Threads: 50 - Files: 1000000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: File Status - Threads: 50 - Files: 1000000 a g b d f e c 500K 1000K 1500K 2000K 2500K 2173913 2036660 1941748 1818182 1795332 320924 284252
Apache Hadoop Operation: File Status - Threads: 100 - Files: 1000000 OpenBenchmarking.org Ops per sec, More Is Better Apache Hadoop 3.3.6 Operation: File Status - Threads: 100 - Files: 1000000 g f c a d e b 400K 800K 1200K 1600K 2000K 2049180 1964637 1893939 1886792 600601 235627 161970
Kripke OpenBenchmarking.org Throughput FoM, More Is Better Kripke 1.2.6 d g f e 50M 100M 150M 200M 250M 240994500 237175700 236591000 236243900 1. (CXX) g++ options: -O3 -fopenmp -ldl
BRL-CAD VGR Performance Metric OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.36 VGR Performance Metric a b c d e f g 170K 340K 510K 680K 850K 772162 768517 762529 298064 296125 295603 295522 1. (CXX) g++ options: -std=c++14 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lregex_brl -lz_brl -lnetpbm -ldl -lm -ltk8.6
easyWave Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 OpenBenchmarking.org Seconds, Fewer Is Better easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 g e d f 0.3728 0.7456 1.1184 1.4912 1.864 1.648 1.654 1.657 1.657 1. (CXX) g++ options: -O3 -fopenmp
easyWave Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 OpenBenchmarking.org Seconds, Fewer Is Better easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 g f e d 9 18 27 36 45 37.95 38.02 38.07 38.11 1. (CXX) g++ options: -O3 -fopenmp
easyWave Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 OpenBenchmarking.org Seconds, Fewer Is Better easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 g f d e 20 40 60 80 100 97.53 97.99 98.98 99.42 1. (CXX) g++ options: -O3 -fopenmp
Embree Binary: Pathtracer - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer - Model: Asian Dragon g f d e 6 12 18 24 30 24.96 24.89 24.85 24.83 MIN: 24.9 / MAX: 25.13 MIN: 24.81 / MAX: 25.06 MIN: 24.78 / MAX: 25 MIN: 24.76 / MAX: 24.96
Embree Binary: Pathtracer - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Obj d e f g 5 10 15 20 25 22.35 22.29 22.27 22.26 MIN: 22.28 / MAX: 22.5 MIN: 22.22 / MAX: 22.46 MIN: 22.2 / MAX: 22.44 MIN: 22.18 / MAX: 22.43
Embree Binary: Pathtracer - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer - Model: Crown e d g f 5 10 15 20 25 21.99 21.89 21.83 21.77 MIN: 21.84 / MAX: 22.32 MIN: 21.74 / MAX: 22.23 MIN: 21.69 / MAX: 22.17 MIN: 21.63 / MAX: 22.18
Embree Binary: Pathtracer ISPC - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon g e f d 7 14 21 28 35 27.91 27.83 27.83 27.74 MIN: 27.81 / MAX: 28.17 MIN: 27.72 / MAX: 28.1 MIN: 27.73 / MAX: 28.13 MIN: 27.64 / MAX: 27.98
Embree Binary: Pathtracer ISPC - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Obj g e f d 6 12 18 24 30 23.71 23.53 23.50 23.35 MIN: 23.61 / MAX: 23.93 MIN: 23.43 / MAX: 23.73 MIN: 23.4 / MAX: 23.74 MIN: 23.26 / MAX: 23.57
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Crown f g d e 5 10 15 20 25 22.44 22.42 22.39 22.34 MIN: 22.25 / MAX: 22.78 MIN: 22.22 / MAX: 22.85 MIN: 22.2 / MAX: 22.85 MIN: 22.15 / MAX: 22.75
OpenVKL Benchmark: vklBenchmarkCPU Scalar OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU Scalar g f d e 40 80 120 160 200 191 191 191 190 MIN: 13 / MAX: 3483 MIN: 13 / MAX: 3484 MIN: 13 / MAX: 3471 MIN: 13 / MAX: 3484
OpenVKL Benchmark: vklBenchmarkCPU ISPC OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU ISPC g f e d 110 220 330 440 550 489 488 487 487 MIN: 36 / MAX: 6969 MIN: 36 / MAX: 6952 MIN: 36 / MAX: 6956 MIN: 36 / MAX: 6949
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU g e f d 0.48 0.96 1.44 1.92 2.4 2.11813 2.12570 2.13062 2.13332 MIN: 1.99 MIN: 2.01 MIN: 1.97 MIN: 2 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU e g d f 0.3539 0.7078 1.0617 1.4156 1.7695 1.54911 1.55118 1.55824 1.57282 MIN: 1.51 MIN: 1.52 MIN: 1.51 MIN: 1.53 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU g d e f 0.3019 0.6038 0.9057 1.2076 1.5095 1.33564 1.33789 1.33861 1.34183 MIN: 1.31 MIN: 1.31 MIN: 1.31 MIN: 1.31 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU d f g e 0.8649 1.7298 2.5947 3.4596 4.3245 3.81576 3.81823 3.82381 3.84421 MIN: 3.26 MIN: 3.25 MIN: 3.29 MIN: 3.27 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU d g f e 0.1426 0.2852 0.4278 0.5704 0.713 0.628236 0.629108 0.630325 0.633975 MIN: 0.6 MIN: 0.6 MIN: 0.6 MIN: 0.6 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU g f d e 0.6893 1.3786 2.0679 2.7572 3.4465 3.05458 3.05674 3.05991 3.06370 MIN: 2.97 MIN: 2.97 MIN: 2.96 MIN: 2.97 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU d f g e 0.7615 1.523 2.2845 3.046 3.8075 3.37782 3.37956 3.38156 3.38436 MIN: 3.33 MIN: 3.33 MIN: 3.33 MIN: 3.33 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU g e d f 0.1914 0.3828 0.5742 0.7656 0.957 0.843492 0.844434 0.847805 0.850691 MIN: 0.83 MIN: 0.83 MIN: 0.83 MIN: 0.83 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU g d f e 0.4315 0.863 1.2945 1.726 2.1575 1.91274 1.91374 1.91422 1.91781 MIN: 1.88 MIN: 1.88 MIN: 1.88 MIN: 1.88 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU d f g e 0.5772 1.1544 1.7316 2.3088 2.886 2.49408 2.49714 2.51441 2.56522 MIN: 2.3 MIN: 2.26 MIN: 2.3 MIN: 2.32 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU g d f e 0.148 0.296 0.444 0.592 0.74 0.647700 0.652259 0.653182 0.657610 MIN: 0.57 MIN: 0.57 MIN: 0.57 MIN: 0.57 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU f d g e 0.2575 0.515 0.7725 1.03 1.2875 1.00136 1.03749 1.12723 1.14432 MIN: 0.92 MIN: 0.92 MIN: 0.93 MIN: 1.07 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU f d g e 0.2881 0.5762 0.8643 1.1524 1.4405 1.20653 1.25758 1.27918 1.28043 MIN: 1.18 MIN: 1.21 MIN: 1.24 MIN: 1.24 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU e f d g 0.1378 0.2756 0.4134 0.5512 0.689 0.575794 0.600834 0.603950 0.612320 MIN: 0.52 MIN: 0.53 MIN: 0.53 MIN: 0.53 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU d g e f 0.2388 0.4776 0.7164 0.9552 1.194 1.02875 1.04567 1.05425 1.06144 MIN: 0.96 MIN: 0.98 MIN: 0.97 MIN: 0.98 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU f g e d 400 800 1200 1600 2000 1636.76 1637.37 1641.00 1641.92 MIN: 1585.98 MIN: 1584.58 MIN: 1595.55 MIN: 1584.81 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU g f e d 400 800 1200 1600 2000 1631.99 1636.44 1639.36 1642.51 MIN: 1581.62 MIN: 1585.81 MIN: 1581.93 MIN: 1593.16 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU g f e d 400 800 1200 1600 2000 1641.40 1642.35 1643.97 1643.99 MIN: 1589.91 MIN: 1586.17 MIN: 1590.89 MIN: 1588.03 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU d g e f 200 400 600 800 1000 838.52 848.03 849.71 851.49 MIN: 796.3 MIN: 807.34 MIN: 805.98 MIN: 807.97 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU g d f e 200 400 600 800 1000 837.60 849.16 849.34 851.66 MIN: 796.61 MIN: 806.44 MIN: 805.8 MIN: 809.45 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU e f d g 200 400 600 800 1000 841.08 845.31 847.38 847.42 MIN: 798.46 MIN: 803.78 MIN: 806.33 MIN: 806.72 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
Intel Open Image Denoise Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.1 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only g f e d 0.162 0.324 0.486 0.648 0.81 0.72 0.72 0.72 0.72
Intel Open Image Denoise Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.1 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only g f e d 0.162 0.324 0.486 0.648 0.81 0.72 0.72 0.72 0.72
Intel Open Image Denoise Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.1 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only g f e d 0.0765 0.153 0.2295 0.306 0.3825 0.34 0.34 0.34 0.34
Phoronix Test Suite v10.8.4