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&gru&sro&rro .
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 nekrs: Kershaw nekrs: TurboPipe Periodic openvino: Face Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU 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 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 oidn: RT.hdr_alb_nrm.3840x2160 - CPU-Only oidn: RT.ldr_alb_nrm.3840x2160 - CPU-Only oidn: RTLightmap.hdr.4096x4096 - CPU-Only oidn: RT.hdr_alb_nrm.3840x2160 - CPU-Only oidn: RT.ldr_alb_nrm.3840x2160 - CPU-Only oidn: RTLightmap.hdr.4096x4096 - CPU-Only openvkl: vklBenchmarkCPU Scalar openvkl: vklBenchmarkCPU ISPC 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 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 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: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - 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: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream 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 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 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 kripke: brl-cad: VGR Performance Metric openvino: Face Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU 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 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 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: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - 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: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream remhos: Sample Remap Example specfem3d: Mount St. Helens specfem3d: Layered Halfspace specfem3d: Tomographic Model specfem3d: Homogeneous Halfspace specfem3d: Water-layered Halfspace build-linux-kernel: defconfig blender: BMW27 - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Barbershop - CPU-Only blender: Pabellon Barcelona - CPU-Only easywave: e2Asean Grid + BengkuluSept2007 Source - 240 easywave: e2Asean Grid + BengkuluSept2007 Source - 1200 easywave: e2Asean Grid + BengkuluSept2007 Source - 2400 a b c d e f g 11106900000 6767710000 30.41 282.55 283.97 2033.17 56.01 5882.91 748.44 2873.24 2945.26 9837.58 842.91 317.22 5776.94 2454.09 1560.03 86884.64 1244.69 120606.38 54.9017 56.0871 60.1449 53.5733 67.3378 56.4853 5.203 90.811 163.459 163.013 12.477 141.219 422.994 510.361 1.83 1.84 0.86 15.986 15.9528 215.096 14.2369 13.8739 16.3468 39.4951 1417.0706 672.4635 201.3925 485.6725 5137.0114 215.6383 49.3258 489.1203 218.1464 322.2505 68.5988 718.9189 158.924 39.4391 248095 460829 420168 1126126 43649 91075 215332 70522 40733 53665 87566 98932 75529 73239 46145 90114 73078 529101 515464 2173913 1886792 2540 38331 58974 79090 4331 85757 1212 104627 127567 12558 18361 159242 27087 1328 18095 28735 41281 51105 39499000 59401000 77181000 117490000 153850000 196220000 307540000 369430000 13909000 594230000 699740000 27901000 1183500000 1192100000 52911000 2207700000 1994400000 109870000 3005800000 2559800000 216080000 425810000 622560000 711640000 772162 393.6 42.44 42.24 5.89 213.94 2.03 16.02 4.17 16.26 4.86 14.23 37.8 8.28 4.88 30.72 0.54 38.5 0.34 605.0388 16.9074 35.628 118.7509 49.3653 4.6508 111.0131 485.7175 49.0092 109.8027 74.3211 347.6612 33.3412 150.5897 605.758 16.346 11.024765775 26.885983804 12.312946652 15.10511773 26.985020908 27.354 26.2 66.42 33.22 254.88 80.54 11240300000 6757360000 30.44 284.22 284.99 2028.01 56.06 5836.27 750.49 2880.58 2986.46 9849.07 854.51 317.28 5780.44 2450.26 1546.02 87359.23 1239.67 120728.22 55.3925 56.4551 59.9124 53.8135 67.1951 56.6902 5.149 91.322 166.378 166.692 12.591 138.338 427.686 542.611 1.83 1.84 0.86 15.9785 15.9888 214.074 14.1783 13.7666 16.4365 39.4681 1403.065 672.3734 201.2528 488.1264 5138.8341 215.9254 49.1666 489.4464 219.5263 321.1829 68.6617 717.9693 159.0596 39.4539 256661 469484 404858 1020408 41288 73801 173822 73046 37425 52119 90827 97314 69348 71679 44437 86715 72129 862069 458716 1941748 161970 2510 36950 61520 80183 4405 89099 67515 106180 130802 17817 24371 159728 27464 1312 18068 28914 39759 39486000 59296000 77019000 114010000 153690000 196590000 305110000 366930000 14021000 602470000 692760000 27736000 1190300000 1214200000 55588000 2212100000 2001900000 108080000 2995400000 2571100000 216150000 429620000 610950000 718140000 768517 393.23 42.2 42.09 5.91 213.62 2.05 15.98 4.16 16.02 4.85 14.03 37.79 8.27 4.89 31 0.54 38.66 0.34 605.7307 17.0669 35.6422 118.9482 49.1082 4.6476 110.9152 487.3599 48.9703 109.2332 74.5553 347.2189 33.3798 150.6055 606.6693 16.791 11.318495709 28.65210863 12.100595947 14.46058698 29.460761197 27.241 26.24 66.64 33.17 255.3 80.76 10826700000 6754170000 30.43 282.67 284.31 2029.79 56.02 5840.53 757.38 2881.14 2987.33 9845.27 849.3 317.33 5802.65 2455.51 1551.63 86789.8 1237.29 123484.28 55.4037 56.8078 59.7929 53.6927 67.5038 56.9327 5.049 90.417 163.055 161.495 12.617 143.545 431.895 516.906 1.83 1.82 0.87 15.9872 15.9778 214.136 14.1399 13.8317 16.535 39.4464 1418.9041 671.2554 201.5402 489.1106 5153.6644 215.647 47.1535 487.0522 218.5162 321.5082 68.6287 716.1404 164.6131 39.4183 270480 401606 403226 683995 43937 90580 185874 77101 35075 52260 73475 90147 67159 74638 44001 97031 66827 657895 729927 284252 1893939 2485 37368 59630 78469 4471 1189 65406 12681 17565 23324 149962 26546 1381 39106 52865 39453000 57519000 76924000 118550000 153670000 194510000 306760000 366990000 14225000 603650000 674930000 28227000 1184800000 1254800000 55165000 2206800000 2010300000 109140000 2999800000 2564900000 214910000 424400000 622630000 715030000 762529 393.37 42.43 42.19 5.9 213.79 2.05 15.83 4.16 16.02 4.86 14.12 37.79 8.24 4.88 30.89 0.54 38.75 0.34 605.9183 16.8863 35.6825 118.7801 49.0173 4.6348 111.025 507.4786 49.2055 109.5847 74.5031 347.3728 33.4637 145.2562 605.8765 16.243 11.32735977 27.490850157 12.040917877 14.808273365 27.060235079 27.408 26.12 66.72 33.03 254.72 80.41 10318900000 7934570000 10.47 107.02 106.9 797.64 20.03 2564.78 344.67 1175.67 1039.61 3540.88 370.57 124.12 2013.77 1036.99 532.59 32002.62 395.66 44958.07 21.4811 22.585 24.6872 22.2614 28.3643 23.8733 4.107 66.988 163.189 161.854 10.91 118.946 526.216 604.986 24.845 22.3517 21.8943 27.7438 23.3531 22.3922 0.72 0.72 0.34 0.72 0.72 0.34 191 487 5.57469 5.57001 151.905 5.60747 5.45329 6.58745 13.0694 508.087 257.2728 71.137 162.8502 1599.2079 71.9189 16.1648 163.5559 72.455 108.909 24.4833 240.5529 55.6132 13.1312 197866 578035 529101 278319 58617 101010 1248439 82372 57971 72134 105708 111012 82102 83921 71296 112613 81208 632911 591716 1818182 600601 36480 46977 55334 5898 59727 1479 98149 115675 12622 17612 21108 129492 1693 18563 26273 34224 35228000 52665000 67054000 105650000 138600000 188930000 278030000 363310000 12683000 545360000 689150000 24627000 1047100000 1035000000 50258000 1059500000 1093300000 99594000 1065200000 1120800000 193850000 273760000 282920000 286250000 240994500 298064 761.59 74.71 74.81 10.01 398.52 3.11 23.2 6.79 15.36 4.51 21.57 64.41 7.93 7.7 30.02 0.49 40.4 0.35 2.13332 1.55824 1.33789 3.81576 0.628236 3.05991 3.37782 0.847805 1.91374 2.49408 0.652259 1.03749 1.25758 0.60395 1.02875 1641.92 1642.51 1643.99 838.516 849.163 847.38 606.101 15.7246 31.0525 112.2499 49.0863 4.996 111.1081 493.596 48.8729 110.1114 73.3058 325.8763 33.2242 143.7643 606.5773 30.761 26.736414118 71.614294327 27.330985588 35.571684908 62.441749585 55.173 72 182.99 90.03 670.87 224.15 1.657 38.105 98.98 10264000000 7931010000 10.47 107.27 107.24 793.75 20 2562.54 342.81 1174.6 1039.82 3544.18 373.64 123.61 2007.53 1028.64 530.99 32032.06 432.32 44933.27 21.4357 22.5694 24.7343 22.1577 28.3141 23.9393 4.114 67.721 162.608 162.051 10.984 119.307 525.173 597.011 24.8282 22.2911 21.9909 27.8293 23.5283 22.3422 0.72 0.72 0.34 0.72 0.72 0.34 190 487 5.54107 5.56353 151.506 5.6204 5.46153 6.5827 12.9433 511.4098 257.894 71.2727 163.1361 1599.1543 71.9146 16.1392 162.9298 72.6571 109.0938 24.4725 240.2349 55.4634 13.1187 195798 552486 294985 251004 58617 100604 1204819 82237 58824 70897 98039 113327 83822 84041 70057 113225 84360 389105 613497 320924 235627 3209 36784 46737 53893 5976 60145 1490 70250 96907 118657 12567 17117 21271 129904 24611 1708 18557 26285 33881 42138 35315000 52827000 68846000 105480000 138620000 191230000 277780000 357990000 12366000 545140000 692920000 25207000 1046600000 1032000000 50380000 1057500000 1095400000 97005000 1065100000 1117800000 196040000 273480000 281830000 285880000 236243900 296125 761.16 74.5 74.54 10.06 398.91 3.11 23.32 6.8 15.36 4.51 21.4 64.68 7.96 7.77 30.1 0.49 36.98 0.35 2.1257 1.54911 1.33861 3.84421 0.633975 3.0637 3.38436 0.844434 1.91781 2.56522 0.65761 1.14432 1.28043 0.575794 1.05425 1641 1639.36 1643.97 849.712 851.659 841.078 607.913 15.6245 30.9867 112.0574 49.0094 4.9859 111.0888 494.2575 49.0598 109.9654 73.2609 325.7416 33.2625 144.1013 606.755 30.845 26.799143446 70.189028506 27.459821308 35.030134889 62.325146828 55.093 71.44 182.56 90.31 670.64 224.1 1.654 38.067 99.415 9976450000 7955790000 10.48 107.39 106.76 791.74 20.01 2539.97 343.49 1180.85 1038.47 3548.78 369.26 124.3 2004.76 1041.87 533.74 31951.64 431.94 44968.43 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 24.887 22.2676 21.7746 27.826 23.5042 22.4407 0.72 0.72 0.34 0.72 0.72 0.34 191 488 5.5732 5.55581 151.78 5.61454 5.45227 6.59563 13.0853 508.2088 257.5046 71.044 162.9294 1600.5275 71.9401 16.1307 162.8976 72.5736 109.09 24.5238 240.1642 55.5428 13.0934 196287 578035 523560 1221001 58343 96993 1303781 81633 59382 69920 99404 111198 79491 82501 70537 110803 85815 709220 478469 1795332 1964637 3218 36125 47141 54956 5954 60310 1483 70105 97368 119092 12692 21067 130389 24830 1697 26695 34470 41424 35271000 52879000 68861000 105740000 138580000 189880000 276390000 350450000 12681000 545020000 693340000 25199000 1041900000 1024600000 49977000 1057100000 1094600000 99441000 1065300000 1120500000 194500000 273390000 283030000 285920000 236591000 295603 760.57 74.43 74.87 10.09 399.24 3.14 23.28 6.76 15.38 4.5 21.65 64.31 7.97 7.67 29.95 0.49 37.01 0.35 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 1642.35 851.494 849.344 845.308 607.8171 15.721 31.0292 112.413 49.0712 4.9877 110.8852 494.2211 49.0714 110.0001 73.2163 324.9568 33.2751 143.6922 606.7852 30.725 26.873168455 70.542255905 26.973757395 35.535073001 61.281769124 55.148 71.96 181.7 90.26 667.87 223.95 1.657 38.015 97.987 10500600000 7964910000 10.48 107.04 107.24 793.9 20.05 2557.66 341.36 1175.58 1039.37 3533.64 372.26 123.41 2006.09 1031.6 538.01 32008.03 432.2 45097.99 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 24.9619 22.2559 21.8305 27.91 23.7091 22.4215 0.72 0.72 0.34 0.72 0.72 0.34 191 489 5.57553 5.56539 151.681 5.62278 5.47725 6.60085 13.073 509.139 257.2808 70.9275 162.9937 1602.5221 71.9003 16.0672 163.2282 72.6879 109.2191 24.4607 239.5176 55.4264 13.0596 197092 546448 460829 654022 60680 103950 1107420 82237 58928 72706 102564 110828 80386 84810 70922 113895 85763 561798 487805 2036660 2049180 3195 36088 46993 55301 59944 1481 69923 96840 118549 12627 17135 24574 1705 18735 34107 41695 35236000 52854000 68678000 104800000 138460000 190750000 277410000 357810000 12256000 543050000 682070000 22727000 1047100000 1033400000 49556000 1056200000 1099300000 100170000 1065700000 1118200000 194670000 274070000 281730000 286530000 237175700 295522 759.92 74.71 74.58 10.06 398.13 3.12 23.42 6.79 15.37 4.52 21.47 64.77 7.96 7.74 29.72 0.49 36.98 0.35 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 1641.4 848.032 837.595 847.417 607.1628 15.6892 31.0574 112.4779 49.0259 4.9787 110.9759 495.6033 48.9837 109.9037 73.1867 325.5075 33.3674 144.1053 608.7163 30.75 27.696631371 69.955609165 27.746475162 35.378600021 62.810924376 55.172 72.01 183.29 90.63 669.09 224.12 1.648 37.95 97.529 OpenBenchmarking.org
nekRS Input: Kershaw OpenBenchmarking.org flops/rank, More Is Better nekRS 23.0 Input: Kershaw g f e d c b a 2000M 4000M 6000M 8000M 10000M 10500600000 9976450000 10264000000 10318900000 10826700000 11240300000 11106900000 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 e d c b a 2000M 4000M 6000M 8000M 10000M 7964910000 7955790000 7931010000 7934570000 6754170000 6757360000 6767710000 1. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.1 Model: Face Detection FP16 - Device: CPU g f e d c b a 7 14 21 28 35 10.48 10.48 10.47 10.47 30.43 30.44 30.41 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 g f e d c b a 60 120 180 240 300 107.04 107.39 107.27 107.02 282.67 284.22 282.55 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 g f e d c b a 60 120 180 240 300 107.24 106.76 107.24 106.90 284.31 284.99 283.97 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 g f e d c b a 400 800 1200 1600 2000 793.90 791.74 793.75 797.64 2029.79 2028.01 2033.17 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 g f e d c b a 13 26 39 52 65 20.05 20.01 20.00 20.03 56.02 56.06 56.01 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 g f e d c b a 1300 2600 3900 5200 6500 2557.66 2539.97 2562.54 2564.78 5840.53 5836.27 5882.91 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 g f e d c b a 160 320 480 640 800 341.36 343.49 342.81 344.67 757.38 750.49 748.44 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 g f e d c b a 600 1200 1800 2400 3000 1175.58 1180.85 1174.60 1175.67 2881.14 2880.58 2873.24 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 g f e d c b a 600 1200 1800 2400 3000 1039.37 1038.47 1039.82 1039.61 2987.33 2986.46 2945.26 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 g f e d c b a 2K 4K 6K 8K 10K 3533.64 3548.78 3544.18 3540.88 9845.27 9849.07 9837.58 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 g f e d c b a 200 400 600 800 1000 372.26 369.26 373.64 370.57 849.30 854.51 842.91 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 g f e d c b a 70 140 210 280 350 123.41 124.30 123.61 124.12 317.33 317.28 317.22 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 g f e d c b a 1200 2400 3600 4800 6000 2006.09 2004.76 2007.53 2013.77 5802.65 5780.44 5776.94 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 g f e d c b a 500 1000 1500 2000 2500 1031.60 1041.87 1028.64 1036.99 2455.51 2450.26 2454.09 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 g f e d c b a 300 600 900 1200 1500 538.01 533.74 530.99 532.59 1551.63 1546.02 1560.03 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 g f e d c b a 20K 40K 60K 80K 100K 32008.03 31951.64 32032.06 32002.62 86789.80 87359.23 86884.64 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 g f e d c b a 300 600 900 1200 1500 432.20 431.94 432.32 395.66 1237.29 1239.67 1244.69 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 g f e d c b a 30K 60K 90K 120K 150K 45097.99 44968.43 44933.27 44958.07 123484.28 120728.22 120606.38 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
Embree Binary: Pathtracer - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.1 Binary: Pathtracer - Model: Crown g f e d c b a 12 24 36 48 60 21.58 21.59 21.44 21.48 55.40 55.39 54.90 MIN: 21.43 / MAX: 21.89 MIN: 21.45 / MAX: 21.84 MIN: 21.3 / MAX: 21.78 MIN: 21.32 / MAX: 21.8 MIN: 53.71 / MAX: 58.99 MIN: 54.02 / MAX: 57.64 MIN: 53.27 / MAX: 57.28
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.1 Binary: Pathtracer ISPC - Model: Crown g f e d c b a 13 26 39 52 65 22.77 22.66 22.57 22.59 56.81 56.46 56.09 MIN: 22.57 / MAX: 23.16 MIN: 22.45 / MAX: 22.99 MIN: 22.39 / MAX: 22.93 MIN: 22.39 / MAX: 22.98 MIN: 55.27 / MAX: 59.91 MIN: 54.53 / MAX: 59.89 MIN: 54.05 / MAX: 59.82
Embree Binary: Pathtracer - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.1 Binary: Pathtracer - Model: Asian Dragon g f e d c b a 13 26 39 52 65 24.82 24.70 24.73 24.69 59.79 59.91 60.14 MIN: 24.74 / MAX: 25 MIN: 24.63 / MAX: 24.84 MIN: 24.67 / MAX: 24.86 MIN: 24.62 / MAX: 24.84 MIN: 58.46 / MAX: 62.03 MIN: 58.66 / MAX: 61.96 MIN: 58.97 / MAX: 62
Embree Binary: Pathtracer - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.1 Binary: Pathtracer - Model: Asian Dragon Obj g f e d c b a 12 24 36 48 60 22.19 22.15 22.16 22.26 53.69 53.81 53.57 MIN: 22.12 / MAX: 22.33 MIN: 22.07 / MAX: 22.32 MIN: 22.08 / MAX: 22.35 MIN: 22.18 / MAX: 22.42 MIN: 52.63 / MAX: 55.24 MIN: 52.72 / MAX: 55.86 MIN: 52.17 / MAX: 55.38
Embree Binary: Pathtracer ISPC - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.1 Binary: Pathtracer ISPC - Model: Asian Dragon g f e d c b a 15 30 45 60 75 28.48 28.32 28.31 28.36 67.50 67.20 67.34 MIN: 28.37 / MAX: 28.69 MIN: 28.23 / MAX: 28.55 MIN: 28.21 / MAX: 28.56 MIN: 28.26 / MAX: 28.59 MIN: 65.64 / MAX: 71.17 MIN: 65.48 / MAX: 70.41 MIN: 65.61 / MAX: 70.54
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 g f e d c b a 13 26 39 52 65 23.88 23.94 23.94 23.87 56.93 56.69 56.49 MIN: 23.79 / MAX: 24.08 MIN: 23.84 / MAX: 24.16 MIN: 23.84 / MAX: 24.18 MIN: 23.78 / MAX: 24.08 MIN: 55.56 / MAX: 59.67 MIN: 55.42 / MAX: 58.97 MIN: 55.29 / MAX: 58.38
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 g f e d c b a 1.1707 2.3414 3.5121 4.6828 5.8535 4.143 4.138 4.114 4.107 5.049 5.149 5.203 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 g f e d c b a 20 40 60 80 100 67.81 67.39 67.72 66.99 90.42 91.32 90.81 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 g f e d c b a 40 80 120 160 200 160.32 161.85 162.61 163.19 163.06 166.38 163.46 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 g f e d c b a 40 80 120 160 200 161.32 160.80 162.05 161.85 161.50 166.69 163.01 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 g f e d c b a 3 6 9 12 15 11.02 10.74 10.98 10.91 12.62 12.59 12.48 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 g f e d c b a 30 60 90 120 150 118.48 118.49 119.31 118.95 143.55 138.34 141.22 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 f e d c b a 110 220 330 440 550 528.53 521.52 525.17 526.22 431.90 427.69 422.99 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 g f e d c b a 130 260 390 520 650 586.75 585.37 597.01 604.99 516.91 542.61 510.36 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
Embree Binary: Pathtracer - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer - Model: Asian Dragon g f e d 6 12 18 24 30 24.96 24.89 24.83 24.85 MIN: 24.9 / MAX: 25.13 MIN: 24.81 / MAX: 25.06 MIN: 24.76 / MAX: 24.96 MIN: 24.78 / MAX: 25
Embree Binary: Pathtracer - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Obj g f e d 5 10 15 20 25 22.26 22.27 22.29 22.35 MIN: 22.18 / MAX: 22.43 MIN: 22.2 / MAX: 22.44 MIN: 22.22 / MAX: 22.46 MIN: 22.28 / MAX: 22.5
Embree Binary: Pathtracer - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer - Model: Crown g f e d 5 10 15 20 25 21.83 21.77 21.99 21.89 MIN: 21.69 / MAX: 22.17 MIN: 21.63 / MAX: 22.18 MIN: 21.84 / MAX: 22.32 MIN: 21.74 / MAX: 22.23
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 f e d 7 14 21 28 35 27.91 27.83 27.83 27.74 MIN: 27.81 / MAX: 28.17 MIN: 27.73 / MAX: 28.13 MIN: 27.72 / MAX: 28.1 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 f e d 6 12 18 24 30 23.71 23.50 23.53 23.35 MIN: 23.61 / MAX: 23.93 MIN: 23.4 / MAX: 23.74 MIN: 23.43 / MAX: 23.73 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 g f e d 5 10 15 20 25 22.42 22.44 22.34 22.39 MIN: 22.22 / MAX: 22.85 MIN: 22.25 / MAX: 22.78 MIN: 22.15 / MAX: 22.75 MIN: 22.2 / MAX: 22.85
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 g f e d c b a 0.4118 0.8236 1.2354 1.6472 2.059 0.72 0.72 0.72 0.72 1.83 1.83 1.83
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 g f e d c b a 0.414 0.828 1.242 1.656 2.07 0.72 0.72 0.72 0.72 1.82 1.84 1.84
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 g f e d c b a 0.1958 0.3916 0.5874 0.7832 0.979 0.34 0.34 0.34 0.34 0.87 0.86 0.86
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
OpenVKL Benchmark: vklBenchmarkCPU Scalar OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU Scalar g f e d 40 80 120 160 200 191 191 190 191 MIN: 13 / MAX: 3483 MIN: 13 / MAX: 3484 MIN: 13 / MAX: 3484 MIN: 13 / MAX: 3471
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
OSPRay Benchmark: particle_volume/ao/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/ao/real_time g f e d c b a 4 8 12 16 20 5.57553 5.57320 5.54107 5.57469 15.98720 15.97850 15.98600
OSPRay Benchmark: particle_volume/scivis/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/scivis/real_time g f e d c b a 4 8 12 16 20 5.56539 5.55581 5.56353 5.57001 15.97780 15.98880 15.95280
OSPRay Benchmark: particle_volume/pathtracer/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.12 Benchmark: particle_volume/pathtracer/real_time g f e d c b a 50 100 150 200 250 151.68 151.78 151.51 151.91 214.14 214.07 215.10
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 g f e d c b a 4 8 12 16 20 5.62278 5.61454 5.62040 5.60747 14.13990 14.17830 14.23690
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 g f e d c b a 4 8 12 16 20 5.47725 5.45227 5.46153 5.45329 13.83170 13.76660 13.87390
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 g f e d c b a 4 8 12 16 20 6.60085 6.59563 6.58270 6.58745 16.53500 16.43650 16.34680
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 g f e d c b a 9 18 27 36 45 13.07 13.09 12.94 13.07 39.45 39.47 39.50
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 g f e d c b a 300 600 900 1200 1500 509.14 508.21 511.41 508.09 1418.90 1403.07 1417.07
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 g f e d c b a 150 300 450 600 750 257.28 257.50 257.89 257.27 671.26 672.37 672.46
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 g f e d c b a 40 80 120 160 200 70.93 71.04 71.27 71.14 201.54 201.25 201.39
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 g f e d c b a 110 220 330 440 550 162.99 162.93 163.14 162.85 489.11 488.13 485.67
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 g f e d c b a 1100 2200 3300 4400 5500 1602.52 1600.53 1599.15 1599.21 5153.66 5138.83 5137.01
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 g f e d c b a 50 100 150 200 250 71.90 71.94 71.91 71.92 215.65 215.93 215.64
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 g f e d c b a 11 22 33 44 55 16.07 16.13 16.14 16.16 47.15 49.17 49.33
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 g f e d c b a 110 220 330 440 550 163.23 162.90 162.93 163.56 487.05 489.45 489.12
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 g f e d c b a 50 100 150 200 250 72.69 72.57 72.66 72.46 218.52 219.53 218.15
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 g f e d c b a 70 140 210 280 350 109.22 109.09 109.09 108.91 321.51 321.18 322.25
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 g f e d c b a 15 30 45 60 75 24.46 24.52 24.47 24.48 68.63 68.66 68.60
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 g f e d c b a 160 320 480 640 800 239.52 240.16 240.23 240.55 716.14 717.97 718.92
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 g f e d c b a 40 80 120 160 200 55.43 55.54 55.46 55.61 164.61 159.06 158.92
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 g f e d c b a 9 18 27 36 45 13.06 13.09 13.12 13.13 39.42 39.45 39.44
Apache Cassandra Test: Writes OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 4.1.3 Test: Writes g f e d c b a 60K 120K 180K 240K 300K 197092 196287 195798 197866 270480 256661 248095
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 g f e d c b a 120K 240K 360K 480K 600K 546448 578035 552486 578035 401606 469484 460829
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 g f e d c b a 110K 220K 330K 440K 550K 460829 523560 294985 529101 403226 404858 420168
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 g f e d c b a 300K 600K 900K 1200K 1500K 654022 1221001 251004 278319 683995 1020408 1126126
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 f e d c b a 13K 26K 39K 52K 65K 60680 58343 58617 58617 43937 41288 43649
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 f e d c b a 20K 40K 60K 80K 100K 103950 96993 100604 101010 90580 73801 91075
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 g f e d c b a 300K 600K 900K 1200K 1500K 1107420 1303781 1204819 1248439 185874 173822 215332
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 g f e d c b a 20K 40K 60K 80K 100K 82237 81633 82237 82372 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 g f e d c b a 13K 26K 39K 52K 65K 58928 59382 58824 57971 35075 37425 40733
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 f e d c b a 16K 32K 48K 64K 80K 72706 69920 70897 72134 52260 52119 53665
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 g f e d c b a 20K 40K 60K 80K 100K 102564 99404 98039 105708 73475 90827 87566
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 g f e d c b a 20K 40K 60K 80K 100K 110828 111198 113327 111012 90147 97314 98932
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 g f e d c b a 20K 40K 60K 80K 100K 80386 79491 83822 82102 67159 69348 75529
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 f e d c b a 20K 40K 60K 80K 100K 84810 82501 84041 83921 74638 71679 73239
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 g f e d c b a 15K 30K 45K 60K 75K 70922 70537 70057 71296 44001 44437 46145
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 f e d c b a 20K 40K 60K 80K 100K 113895 110803 113225 112613 97031 86715 90114
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 g f e d c b a 20K 40K 60K 80K 100K 85763 85815 84360 81208 66827 72129 73078
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 g f e d c b a 200K 400K 600K 800K 1000K 561798 709220 389105 632911 657895 862069 529101
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 g f e d c b a 160K 320K 480K 640K 800K 487805 478469 613497 591716 729927 458716 515464
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 g f e d c b a 500K 1000K 1500K 2000K 2500K 2036660 1795332 320924 1818182 284252 1941748 2173913
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 e d c b a 400K 800K 1200K 1600K 2000K 2049180 1964637 235627 600601 1893939 161970 1886792
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 g f e c b a 700 1400 2100 2800 3500 3195 3218 3209 2485 2510 2540
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 g f e d c b a 8K 16K 24K 32K 40K 36088 36125 36784 36480 37368 36950 38331
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 g f e d c b a 13K 26K 39K 52K 65K 46993 47141 46737 46977 59630 61520 58974
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 g f e d c b a 20K 40K 60K 80K 100K 55301 54956 53893 55334 78469 80183 79090
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 f e d c b a 1300 2600 3900 5200 6500 5954 5976 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 g f e d b a 20K 40K 60K 80K 100K 59944 60310 60145 59727 89099 85757
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 g f e d c a 300 600 900 1200 1500 1481 1483 1490 1479 1189 1212
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 g f e c b 15K 30K 45K 60K 75K 69923 70105 70250 65406 67515
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 g f e d b a 20K 40K 60K 80K 100K 96840 97368 96907 98149 106180 104627
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 g f e d b a 30K 60K 90K 120K 150K 118549 119092 118657 115675 130802 127567
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 g f e d c a 3K 6K 9K 12K 15K 12627 12692 12567 12622 12681 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 g e d c b a 4K 8K 12K 16K 20K 17135 17117 17612 17565 17817 18361
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 f e d c b 5K 10K 15K 20K 25K 21067 21271 21108 23324 24371
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 f e d c b a 30K 60K 90K 120K 150K 130389 129904 129492 149962 159728 159242
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 g f e c b a 6K 12K 18K 24K 30K 24574 24830 24611 26546 27464 27087
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 g f e d c b a 400 800 1200 1600 2000 1705 1697 1708 1693 1381 1312 1328
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 e d b a 4K 8K 12K 16K 20K 18735 18557 18563 18068 18095
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 f e d b a 6K 12K 18K 24K 30K 26695 26285 26273 28914 28735
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 g f e d c b a 9K 18K 27K 36K 45K 34107 34470 33881 34224 39106 39759 41281
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 g f e c a 11K 22K 33K 44K 55K 41695 41424 42138 52865 51105
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 g f e d c b a 8M 16M 24M 32M 40M 35236000 35271000 35315000 35228000 39453000 39486000 39499000 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 g f e d c b a 13M 26M 39M 52M 65M 52854000 52879000 52827000 52665000 57519000 59296000 59401000 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 g f e d c b a 17M 34M 51M 68M 85M 68678000 68861000 68846000 67054000 76924000 77019000 77181000 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 g f e d c b a 30M 60M 90M 120M 150M 104800000 105740000 105480000 105650000 118550000 114010000 117490000 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 g f e d c b a 30M 60M 90M 120M 150M 138460000 138580000 138620000 138600000 153670000 153690000 153850000 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 g f e d c b a 40M 80M 120M 160M 200M 190750000 189880000 191230000 188930000 194510000 196590000 196220000 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 g f e d c b a 70M 140M 210M 280M 350M 277410000 276390000 277780000 278030000 306760000 305110000 307540000 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 g f e d c b a 80M 160M 240M 320M 400M 357810000 350450000 357990000 363310000 366990000 366930000 369430000 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 g f e d c b a 3M 6M 9M 12M 15M 12256000 12681000 12366000 12683000 14225000 14021000 13909000 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 g f e d c b a 130M 260M 390M 520M 650M 543050000 545020000 545140000 545360000 603650000 602470000 594230000 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 g f e d c b a 150M 300M 450M 600M 750M 682070000 693340000 692920000 689150000 674930000 692760000 699740000 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 g f e d c b a 6M 12M 18M 24M 30M 22727000 25199000 25207000 24627000 28227000 27736000 27901000 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 g f e d c b a 300M 600M 900M 1200M 1500M 1047100000 1041900000 1046600000 1047100000 1184800000 1190300000 1183500000 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 g f e d c b a 300M 600M 900M 1200M 1500M 1033400000 1024600000 1032000000 1035000000 1254800000 1214200000 1192100000 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 g f e d c b a 12M 24M 36M 48M 60M 49556000 49977000 50380000 50258000 55165000 55588000 52911000 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 g f e d c b a 500M 1000M 1500M 2000M 2500M 1056200000 1057100000 1057500000 1059500000 2206800000 2212100000 2207700000 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 g f e d c b a 400M 800M 1200M 1600M 2000M 1099300000 1094600000 1095400000 1093300000 2010300000 2001900000 1994400000 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 g f e d c b a 20M 40M 60M 80M 100M 100170000 99441000 97005000 99594000 109140000 108080000 109870000 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 g f e d c b a 600M 1200M 1800M 2400M 3000M 1065700000 1065300000 1065100000 1065200000 2999800000 2995400000 3005800000 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 g f e d c b a 600M 1200M 1800M 2400M 3000M 1118200000 1120500000 1117800000 1120800000 2564900000 2571100000 2559800000 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 g f e d c b a 50M 100M 150M 200M 250M 194670000 194500000 196040000 193850000 214910000 216150000 216080000 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 g f e d c b a 90M 180M 270M 360M 450M 274070000 273390000 273480000 273760000 424400000 429620000 425810000 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 g f e d c b a 130M 260M 390M 520M 650M 281730000 283030000 281830000 282920000 622630000 610950000 622560000 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 g f e d c b a 150M 300M 450M 600M 750M 286530000 285920000 285880000 286250000 715030000 718140000 711640000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Kripke OpenBenchmarking.org Throughput FoM, More Is Better Kripke 1.2.6 g f e d 50M 100M 150M 200M 250M 237175700 236591000 236243900 240994500 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 g f e d c b a 170K 340K 510K 680K 850K 295522 295603 296125 298064 762529 768517 772162 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
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection FP16 - Device: CPU g f e d c b a 160 320 480 640 800 759.92 760.57 761.16 761.59 393.37 393.23 393.60 MIN: 737.63 / MAX: 771.07 MIN: 741.4 / MAX: 770.88 MIN: 741.99 / MAX: 776.56 MIN: 738.34 / MAX: 772.36 MIN: 362.57 / MAX: 433.51 MIN: 360.87 / MAX: 433.13 MIN: 363.29 / MAX: 431.61 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 g f e d c b a 20 40 60 80 100 74.71 74.43 74.50 74.71 42.43 42.20 42.44 MIN: 66.29 / MAX: 79.68 MIN: 65.68 / MAX: 83.49 MIN: 66.5 / MAX: 80.32 MIN: 66.12 / MAX: 81.09 MIN: 36.31 / MAX: 62.36 MIN: 36.84 / MAX: 61.97 MIN: 36.14 / MAX: 61.98 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 g f e d c b a 20 40 60 80 100 74.58 74.87 74.54 74.81 42.19 42.09 42.24 MIN: 67.63 / MAX: 78.73 MIN: 66.72 / MAX: 80.96 MIN: 65.97 / MAX: 82.9 MIN: 66.88 / MAX: 80.7 MIN: 36.21 / MAX: 65.64 MIN: 37.13 / MAX: 58.71 MIN: 36.59 / MAX: 61.56 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 g f e d c b a 3 6 9 12 15 10.06 10.09 10.06 10.01 5.90 5.91 5.89 MIN: 5.2 / MAX: 19.38 MIN: 5.4 / MAX: 19.17 MIN: 5.29 / MAX: 19.07 MIN: 5.7 / MAX: 19.52 MIN: 4.83 / MAX: 13.4 MIN: 4.84 / MAX: 12.9 MIN: 4.67 / MAX: 18.4 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 g f e d c b a 90 180 270 360 450 398.13 399.24 398.91 398.52 213.79 213.62 213.94 MIN: 379.09 / MAX: 404.71 MIN: 387.9 / MAX: 408.93 MIN: 386.2 / MAX: 407.29 MIN: 382.1 / MAX: 404.98 MIN: 197.29 / MAX: 236.32 MIN: 197.2 / MAX: 235.23 MIN: 201.64 / MAX: 242.71 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 g f e d c b a 0.7065 1.413 2.1195 2.826 3.5325 3.12 3.14 3.11 3.11 2.05 2.05 2.03 MIN: 1.88 / MAX: 11.92 MIN: 1.93 / MAX: 11.65 MIN: 1.93 / MAX: 9.72 MIN: 1.94 / MAX: 11.57 MIN: 1.62 / MAX: 6.96 MIN: 1.6 / MAX: 7 MIN: 1.66 / MAX: 7.51 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 g f e d c b a 6 12 18 24 30 23.42 23.28 23.32 23.20 15.83 15.98 16.02 MIN: 20.46 / MAX: 32.43 MIN: 15.73 / MAX: 30.77 MIN: 19.49 / MAX: 30.99 MIN: 15.1 / MAX: 31.6 MIN: 12.38 / MAX: 32.97 MIN: 12.74 / MAX: 33.34 MIN: 12.5 / MAX: 33.94 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 g f e d c b a 2 4 6 8 10 6.79 6.76 6.80 6.79 4.16 4.16 4.17 MIN: 3.79 / MAX: 15.41 MIN: 4.04 / MAX: 15.47 MIN: 4.04 / MAX: 15.37 MIN: 3.8 / MAX: 15.48 MIN: 3.43 / MAX: 10.26 MIN: 3.42 / MAX: 11.2 MIN: 3.39 / MAX: 10.07 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 g f e d c b a 4 8 12 16 20 15.37 15.38 15.36 15.36 16.02 16.02 16.26 MIN: 7.99 / MAX: 23.98 MIN: 7.99 / MAX: 24 MIN: 8.02 / MAX: 23.81 MIN: 8.08 / MAX: 24.34 MIN: 14.63 / MAX: 33.79 MIN: 14.41 / MAX: 30.55 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 ms, Fewer Is Better OpenVINO 2023.1 Model: Face Detection Retail FP16-INT8 - Device: CPU g f e d c b a 1.0935 2.187 3.2805 4.374 5.4675 4.52 4.50 4.51 4.51 4.86 4.85 4.86 MIN: 2.77 / MAX: 13.57 MIN: 2.98 / MAX: 13.86 MIN: 2.96 / MAX: 16.06 MIN: 2.98 / MAX: 13.05 MIN: 4.34 / MAX: 12.27 MIN: 4.25 / MAX: 12.86 MIN: 4.23 / MAX: 12.81 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 g f e d c b a 5 10 15 20 25 21.47 21.65 21.40 21.57 14.12 14.03 14.23 MIN: 17.62 / MAX: 28.13 MIN: 19.48 / MAX: 24.27 MIN: 19.07 / MAX: 25.3 MIN: 19.5 / MAX: 24.76 MIN: 11.51 / MAX: 26.04 MIN: 11.59 / MAX: 26.04 MIN: 11.51 / MAX: 25.86 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 g f e d c b a 14 28 42 56 70 64.77 64.31 64.68 64.41 37.79 37.79 37.80 MIN: 55.8 / MAX: 69.46 MIN: 50.85 / MAX: 70.77 MIN: 38.02 / MAX: 72.52 MIN: 37.44 / MAX: 73.04 MIN: 33.29 / MAX: 54.88 MIN: 32.97 / MAX: 53.7 MIN: 33.35 / MAX: 56.45 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 g f e d c b a 2 4 6 8 10 7.96 7.97 7.96 7.93 8.24 8.27 8.28 MIN: 4.19 / MAX: 14.2 MIN: 4.37 / MAX: 16.86 MIN: 4.19 / MAX: 16.59 MIN: 4.2 / MAX: 16.92 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 ms, Fewer Is Better OpenVINO 2023.1 Model: Person Vehicle Bike Detection FP16 - Device: CPU g f e d c b a 2 4 6 8 10 7.74 7.67 7.77 7.70 4.88 4.89 4.88 MIN: 6.06 / MAX: 12.66 MIN: 5.32 / MAX: 16.6 MIN: 5.42 / MAX: 16.35 MIN: 5.51 / MAX: 16.06 MIN: 3.9 / MAX: 14.94 MIN: 3.93 / MAX: 13.44 MIN: 3.95 / MAX: 16.05 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 e d c b a 7 14 21 28 35 29.72 29.95 30.10 30.02 30.89 31.00 30.72 MIN: 19.46 / MAX: 38.99 MIN: 19.01 / MAX: 38.08 MIN: 22.61 / MAX: 39.15 MIN: 18.78 / MAX: 38.72 MIN: 29.48 / MAX: 36.29 MIN: 29.59 / MAX: 36.33 MIN: 29.51 / MAX: 35.07 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 g f e d c b a 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: 8.84 MIN: 0.3 / MAX: 8.2 MIN: 0.3 / MAX: 9.07 MIN: 0.3 / MAX: 9.28 MIN: 0.45 / MAX: 5.03 MIN: 0.45 / MAX: 7.81 MIN: 0.45 / MAX: 7.64 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 g f e d c b a 9 18 27 36 45 36.98 37.01 36.98 40.40 38.75 38.66 38.50 MIN: 32.61 / MAX: 41.91 MIN: 32.25 / MAX: 43.6 MIN: 32.02 / MAX: 44.78 MIN: 26.93 / MAX: 74.83 MIN: 37.46 / MAX: 43.52 MIN: 37.22 / MAX: 43.52 MIN: 36.77 / MAX: 44.23 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 g f e d c b a 0.0788 0.1576 0.2364 0.3152 0.394 0.35 0.35 0.35 0.35 0.34 0.34 0.34 MIN: 0.23 / MAX: 8.63 MIN: 0.23 / MAX: 9.15 MIN: 0.23 / MAX: 8.84 MIN: 0.23 / MAX: 9.09 MIN: 0.29 / MAX: 7.09 MIN: 0.29 / MAX: 10.87 MIN: 0.29 / MAX: 7.33 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
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 f e d 0.48 0.96 1.44 1.92 2.4 2.11813 2.13062 2.12570 2.13332 MIN: 1.99 MIN: 1.97 MIN: 2.01 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 g f e d 0.3539 0.7078 1.0617 1.4156 1.7695 1.55118 1.57282 1.54911 1.55824 MIN: 1.52 MIN: 1.53 MIN: 1.51 MIN: 1.51 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 f e d 0.3019 0.6038 0.9057 1.2076 1.5095 1.33564 1.34183 1.33861 1.33789 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 g f e d 0.8649 1.7298 2.5947 3.4596 4.3245 3.82381 3.81823 3.84421 3.81576 MIN: 3.29 MIN: 3.25 MIN: 3.27 MIN: 3.26 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 g f e d 0.1426 0.2852 0.4278 0.5704 0.713 0.629108 0.630325 0.633975 0.628236 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 e d 0.6893 1.3786 2.0679 2.7572 3.4465 3.05458 3.05674 3.06370 3.05991 MIN: 2.97 MIN: 2.97 MIN: 2.97 MIN: 2.96 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 g f e d 0.7615 1.523 2.2845 3.046 3.8075 3.38156 3.37956 3.38436 3.37782 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 f e d 0.1914 0.3828 0.5742 0.7656 0.957 0.843492 0.850691 0.844434 0.847805 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 f e d 0.4315 0.863 1.2945 1.726 2.1575 1.91274 1.91422 1.91781 1.91374 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 g f e d 0.5772 1.1544 1.7316 2.3088 2.886 2.51441 2.49714 2.56522 2.49408 MIN: 2.3 MIN: 2.26 MIN: 2.32 MIN: 2.3 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 f e d 0.148 0.296 0.444 0.592 0.74 0.647700 0.653182 0.657610 0.652259 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 g f e d 0.2575 0.515 0.7725 1.03 1.2875 1.12723 1.00136 1.14432 1.03749 MIN: 0.93 MIN: 0.92 MIN: 1.07 MIN: 0.92 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 g f e d 0.2881 0.5762 0.8643 1.1524 1.4405 1.27918 1.20653 1.28043 1.25758 MIN: 1.24 MIN: 1.18 MIN: 1.24 MIN: 1.21 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 g f e d 0.1378 0.2756 0.4134 0.5512 0.689 0.612320 0.600834 0.575794 0.603950 MIN: 0.53 MIN: 0.53 MIN: 0.52 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 g f e d 0.2388 0.4776 0.7164 0.9552 1.194 1.04567 1.06144 1.05425 1.02875 MIN: 0.98 MIN: 0.98 MIN: 0.97 MIN: 0.96 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 g f e d 400 800 1200 1600 2000 1637.37 1636.76 1641.00 1641.92 MIN: 1584.58 MIN: 1585.98 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 g f e d 200 400 600 800 1000 848.03 851.49 849.71 838.52 MIN: 807.34 MIN: 807.97 MIN: 805.98 MIN: 796.3 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 f e d 200 400 600 800 1000 837.60 849.34 851.66 849.16 MIN: 796.61 MIN: 805.8 MIN: 809.45 MIN: 806.44 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 g f e d 200 400 600 800 1000 847.42 845.31 841.08 847.38 MIN: 806.72 MIN: 803.78 MIN: 798.46 MIN: 806.33 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
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 g f e d c b a 130 260 390 520 650 607.16 607.82 607.91 606.10 605.92 605.73 605.04
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 g f e d c b a 4 8 12 16 20 15.69 15.72 15.62 15.72 16.89 17.07 16.91
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 g f e d c b a 8 16 24 32 40 31.06 31.03 30.99 31.05 35.68 35.64 35.63
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 g f e d c b a 30 60 90 120 150 112.48 112.41 112.06 112.25 118.78 118.95 118.75
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 g f e d c b a 11 22 33 44 55 49.03 49.07 49.01 49.09 49.02 49.11 49.37
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 g f e d c b a 1.1241 2.2482 3.3723 4.4964 5.6205 4.9787 4.9877 4.9859 4.9960 4.6348 4.6476 4.6508
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 g f e d c b a 20 40 60 80 100 110.98 110.89 111.09 111.11 111.03 110.92 111.01
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 g f e d c b a 110 220 330 440 550 495.60 494.22 494.26 493.60 507.48 487.36 485.72
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 g f e d c b a 11 22 33 44 55 48.98 49.07 49.06 48.87 49.21 48.97 49.01
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 g f e d c b a 20 40 60 80 100 109.90 110.00 109.97 110.11 109.58 109.23 109.80
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 c b a 20 40 60 80 100 73.19 73.22 73.26 73.31 74.50 74.56 74.32
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 g f e d c b a 80 160 240 320 400 325.51 324.96 325.74 325.88 347.37 347.22 347.66
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 g f e d c b a 8 16 24 32 40 33.37 33.28 33.26 33.22 33.46 33.38 33.34
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 g f e d c b a 30 60 90 120 150 144.11 143.69 144.10 143.76 145.26 150.61 150.59
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 g f e d c b a 130 260 390 520 650 608.72 606.79 606.76 606.58 605.88 606.67 605.76
Remhos Test: Sample Remap Example OpenBenchmarking.org Seconds, Fewer Is Better Remhos 1.0 Test: Sample Remap Example g f e d c b a 7 14 21 28 35 30.75 30.73 30.85 30.76 16.24 16.79 16.35 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 g f e d c b a 7 14 21 28 35 27.70 26.87 26.80 26.74 11.33 11.32 11.02 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi
SPECFEM3D Model: Layered Halfspace OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Layered Halfspace g f e d c b a 16 32 48 64 80 69.96 70.54 70.19 71.61 27.49 28.65 26.89 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 g f e d c b a 7 14 21 28 35 27.75 26.97 27.46 27.33 12.04 12.10 12.31 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 g f e d c b a 8 16 24 32 40 35.38 35.54 35.03 35.57 14.81 14.46 15.11 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 g f e d c b a 14 28 42 56 70 62.81 61.28 62.33 62.44 27.06 29.46 26.99 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi
Timed Linux Kernel Compilation Build: defconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: defconfig g f e d c b a 12 24 36 48 60 55.17 55.15 55.09 55.17 27.41 27.24 27.35
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: BMW27 - Compute: CPU-Only g f e d c b a 16 32 48 64 80 72.01 71.96 71.44 72.00 26.12 26.24 26.20
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Classroom - Compute: CPU-Only g f e d c b a 40 80 120 160 200 183.29 181.70 182.56 182.99 66.72 66.64 66.42
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Fishy Cat - Compute: CPU-Only g f e d c b a 20 40 60 80 100 90.63 90.26 90.31 90.03 33.03 33.17 33.22
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Barbershop - Compute: CPU-Only g f e d c b a 140 280 420 560 700 669.09 667.87 670.64 670.87 254.72 255.30 254.88
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.6 Blend File: Pabellon Barcelona - Compute: CPU-Only g f e d c b a 50 100 150 200 250 224.12 223.95 224.10 224.15 80.41 80.76 80.54
easyWave Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 OpenBenchmarking.org Seconds, Fewer Is Better easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 g f e d 0.3728 0.7456 1.1184 1.4912 1.864 1.648 1.657 1.654 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 e d 20 40 60 80 100 97.53 97.99 99.42 98.98 1. (CXX) g++ options: -O3 -fopenmp
Phoronix Test Suite v10.8.5