2 x Intel Xeon Platinum 8490H testing with a Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS) and ASPEED on Ubuntu 23.10 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 2311059-NE-NEWSAT27963 new-sat - Phoronix Test Suite new-sat 2 x Intel Xeon Platinum 8490H testing with a Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2311059-NE-NEWSAT27963&grr&export=txt&sor .
new-sat Processor Motherboard Chipset Memory Disk Graphics Network OS Kernel Desktop Display Server Compiler File-System Screen Resolution a b c d e f g h i j k l m n 2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads) Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS) Intel Device 1bce 1008GB 3201GB Micron_7450_MTFDKCC3T2TFS ASPEED 2 x Intel X710 for 10GBASE-T Ubuntu 23.10 6.6.0-rc5-phx-patched (x86_64) GNOME Shell 45.0 X Server 1.21.1.7 GCC 13.2.0 ext4 1920x1200 Intel Xeon Platinum 8490H @ 3.50GHz (60 Cores / 120 Threads) 512GB Intel Xeon Max 9468 @ 3.50GHz (48 Cores / 96 Threads) 2 x Intel Xeon Max 9468 @ 3.50GHz (96 Cores / 192 Threads) 1008GB 2 x Intel X710 for 10GBASE-T 2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads) OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler Details - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details - a: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x2b0004b1 - b: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x2b0004b1 - c: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x2b0004b1 - d: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x2b0004b1 - e: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2b0004b1 - f: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2b0004b1 - g: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2c000271 - h: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2c000271 - i: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2c000271 - j: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2c000271 - k: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2c000271 - l: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2b0004b1 - m: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2b0004b1 - n: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2b0004b1 Security Details - gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected Python Details - e, f, g, h, i, j, k, l, m, n: Python 3.11.6
new-sat cloverleaf: clover_bm16 duckdb: IMDB duckdb: TPC-H Parquet blosc: blosclz noshuffle - 256MB blosc: blosclz bitshuffle - 256MB blosc: blosclz shuffle - 256MB qmcpack: O_ae_pyscf_UHF build-gem5: Time To Compile blosc: blosclz noshuffle - 128MB blosc: blosclz bitshuffle - 128MB blosc: blosclz shuffle - 128MB qmcpack: FeCO6_b3lyp_gms blosc: blosclz noshuffle - 64MB blosc: blosclz bitshuffle - 64MB blosc: blosclz shuffle - 64MB ospray-studio: 3 - 1080p - 32 - Path Tracer - CPU blosc: blosclz noshuffle - 8MB ospray-studio: 2 - 1080p - 32 - Path Tracer - CPU ospray-studio: 3 - 1080p - 16 - Path Tracer - CPU qmcpack: Li2_STO_ae ospray-studio: 1 - 1080p - 32 - Path Tracer - CPU ospray-studio: 1 - 1080p - 16 - Path Tracer - CPU ospray-studio: 2 - 1080p - 16 - Path Tracer - CPU qmcpack: LiH_ae_MSD ospray-studio: 2 - 4K - 16 - Path Tracer - CPU blosc: blosclz shuffle - 8MB blosc: blosclz noshuffle - 32MB blosc: blosclz bitshuffle - 8MB ospray-studio: 1 - 4K - 16 - Path Tracer - CPU cpuminer-opt: Garlicoin blosc: blosclz noshuffle - 16MB ospray-studio: 2 - 1080p - 1 - Path Tracer - CPU ospray-studio: 3 - 1080p - 1 - Path Tracer - CPU blosc: blosclz bitshuffle - 32MB ospray-studio: 1 - 1080p - 1 - Path Tracer - CPU blosc: blosclz shuffle - 32MB ospray-studio: 3 - 4K - 1 - Path Tracer - CPU blosc: blosclz shuffle - 16MB blosc: blosclz bitshuffle - 16MB ospray-studio: 2 - 4K - 1 - Path Tracer - CPU ospray-studio: 1 - 4K - 1 - Path Tracer - CPU ospray-studio: 3 - 4K - 32 - Path Tracer - CPU ospray-studio: 2 - 4K - 32 - Path Tracer - CPU ospray-studio: 3 - 4K - 16 - Path Tracer - CPU ospray-studio: 1 - 4K - 32 - Path Tracer - CPU cpuminer-opt: Ringcoin openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Face Detection FP16 - CPU openvino: Face Detection FP16 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Person Detection FP32 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU cloverleaf: clover_bm64_short cpuminer-opt: Skeincoin cpuminer-opt: Blake-2 S cpuminer-opt: Magi cpuminer-opt: LBC, LBRY Credits cpuminer-opt: Quad SHA-256, Pyrite cpuminer-opt: scrypt cpuminer-opt: Deepcoin cpuminer-opt: Triple SHA-256, Onecoin cpuminer-opt: Myriad-Groestl qmcpack: simple-H2O heffte: c2c - FFTW - double - 1024 heffte: c2c - FFTW - double-long - 1024 heffte: c2c - Stock - double-long - 1024 heffte: c2c - Stock - double - 1024 cloverleaf: clover_bm heffte: r2c - FFTW - double-long - 1024 heffte: r2c - FFTW - double - 1024 heffte: r2c - Stock - double-long - 1024 heffte: r2c - Stock - double - 1024 heffte: c2c - FFTW - float - 1024 heffte: c2c - Stock - float-long - 1024 heffte: c2c - FFTW - float-long - 1024 heffte: c2c - Stock - float - 1024 qmcpack: H4_ae heffte: r2c - FFTW - float-long - 1024 heffte: r2c - FFTW - float - 1024 heffte: r2c - Stock - float - 1024 heffte: r2c - Stock - float-long - 1024 heffte: c2c - FFTW - double-long - 512 heffte: c2c - FFTW - double - 512 heffte: c2c - Stock - double - 512 heffte: c2c - Stock - double-long - 512 heffte: r2c - FFTW - double - 512 heffte: r2c - FFTW - double-long - 512 heffte: c2c - Stock - float - 512 heffte: c2c - Stock - float-long - 512 heffte: c2c - FFTW - float - 512 heffte: r2c - Stock - double - 512 heffte: r2c - Stock - double-long - 512 heffte: c2c - FFTW - float-long - 512 heffte: r2c - Stock - float - 512 heffte: r2c - FFTW - float-long - 512 heffte: r2c - Stock - float-long - 512 heffte: r2c - FFTW - float - 512 heffte: c2c - FFTW - double-long - 256 heffte: c2c - FFTW - double - 256 heffte: c2c - Stock - double-long - 256 heffte: c2c - Stock - double - 256 heffte: c2c - FFTW - double - 128 heffte: r2c - FFTW - double-long - 256 heffte: c2c - Stock - float - 256 heffte: c2c - FFTW - float - 256 heffte: c2c - Stock - float-long - 256 heffte: c2c - FFTW - float-long - 256 heffte: r2c - Stock - double - 256 heffte: r2c - Stock - double-long - 256 heffte: r2c - FFTW - double - 128 heffte: r2c - FFTW - double - 256 heffte: r2c - Stock - float - 256 heffte: r2c - FFTW - float-long - 256 heffte: r2c - FFTW - float - 256 heffte: r2c - FFTW - float - 128 heffte: c2c - Stock - double-long - 128 heffte: r2c - FFTW - double-long - 128 heffte: c2c - FFTW - double-long - 128 heffte: r2c - Stock - float-long - 256 heffte: c2c - Stock - float-long - 128 heffte: r2c - Stock - float-long - 128 heffte: r2c - Stock - float - 128 heffte: r2c - FFTW - float-long - 128 heffte: c2c - Stock - float - 128 heffte: c2c - FFTW - float-long - 128 heffte: r2c - Stock - double - 128 heffte: c2c - FFTW - float - 128 heffte: c2c - Stock - double - 128 heffte: r2c - Stock - double-long - 128 a b c d e f g h i j k l m n 224.98 259.420 178.042 8459 7192 4239 7076 3539 3620 14223 14067 3725.51 230 269 225 1066 907 889 38573 34608 16770 33358 5799.03 24.34 133860 535240 2683.56 58960 267960 1220.91 32300 384930 47950 82.0966 82.8177 82.7248 82.6559 14.03 138.026 137.37 154.939 154.89 151.717 153.32 152.251 152.494 262.189 261.576 298.194 299.635 67.0103 69.6908 72.0271 71.7427 123.786 124.494 119.576 128.23 136.085 133.759 135.652 134.078 242.763 246.417 244.606 242.8 67.4501 64.8474 67.4313 65.75 71.4774 127.353 172.186 159.217 162.018 166.056 149.777 156.736 89.7639 130.153 360.023 323.078 345.601 175.042 87.9144 71.9574 29.7765 322.715 123.364 164.817 161.815 165.324 125.363 143.402 115.201 140.098 89.0188 120.195 214.08 8429 7193 4213 7113 3542 3594 14248 13991 3727.55 230 268 226 1064 908 889 38554 33567 16786 33490 5933.75 24.97 133600 535430 2681.44 59690 269860 1194.3 32320 384820 46280 80.4689 81.9652 82.771 82.8318 13.69 136.462 137.378 155.044 154.81 152.472 153.985 153.363 152.916 262.087 262.003 297.888 297.937 66.1912 65.4142 71.3098 71.4551 122.949 123.112 129.547 129.794 133.271 131.436 132.365 133.67 245.522 238.175 241.839 238.309 63.5861 63.6836 65.5461 66.9959 66.6381 131.689 157.025 173.449 158.115 158.009 146.839 157.55 41.5556 138.926 323.206 348.229 331.454 176.183 90.2338 38.4964 92.731 327.718 123.259 158.419 161.364 175.737 126.182 132.641 125.701 145.298 90.0107 124.546 218.67 24.12 14.05 152.035 65.1177 118.43 130.463 236.917 62.712 92.6394 159.458 160.511 115.397 341.133 175.272 108.631 144.142 303.86 259.283 178.825 8493 7245 4258 7142 3558 3636 14338 14042 4200.71 231 270 227 1064 910 894 39029 33817 16765 33652 5770.26 32.19 134140 533880 2672.68 58620 267450 1189.10 32317 384423 47623 19.28 323.53 197.545 15787 13393 7892 13272 6633 6711 31373 30876 11540 421 496 416 1962 1663 1644 67291 58032 36028 57130 5867.89 360.89 165.82 16.72 3566.26 385.45 77.69 54.3 1101.87 103.21 290.36 103.01 290.88 64.66 462.66 18.43 3221.62 6.28 9344.43 9.66 6106.91 0.48 106187.7 0.61 86847.05 39.86 751.14 48.77 1224.11 38.54 1545.36 3.51 16489.33 6.44 9078.33 15.86 1878.87 38.96 67000 267760 1370.86 29550 136700 618.59 16340 194980 25310 8.74 323.38 13231 6628 6711 31194 30951 422 497 416 1962 1661 1647 67337 58436 36109 57572 38.94 8.68 183.71 206.079 18877 16151 9424 15955 7939 8009 36770 36833 2256.38 505 595 500 2352 1990 1984 80104 68506 42592 68562 5205 244.29 196.21 13 3685.78 114.95 104.31 51.91 923.91 35.35 339.17 35.39 338.84 27.53 433.9 14.44 3319.81 5.4 8871.46 7.28 6581.71 0.3 131083.06 0.51 90384.31 17.55 682.77 39.95 1200.82 24.23 1979.56 2.47 19358.98 4.36 10978.58 6.35 1884.46 20.86 50420 191940 968.45 21190 97890 472.76 11730 139540 17860 10.00 182.63 216.878 18945 16114 9487 15942 7952 8010 36787 36575 2332.32 505 595 500 2345 1989 1975 79992 68593 42412 68355 5300.21 244.11 196.28 13.03 3678.97 115.13 104.12 51.84 925.43 35.35 339.22 35.41 338.61 27.75 430.23 14.46 3314 5.41 8855.95 7.3 6566.24 0.3 131445.26 0.52 88444.43 17.58 681.9 40.22 1192.76 24.12 1988.3 2.49 19208.93 4.06 11783.36 6.34 1889.02 20.99 48010 191940 986.33 21180 97960 456.46 12140 140170 18010 9.87 9.94 1584.37 195.489 13319 11801 6496 10852 5349 5659 22407 31587 20460 361 420 356 1691 1535 1366 60905 51940 30736 51593 15560 258.62 370.5 13.68 6992.06 124.17 193.11 56 1712.71 37.93 632.07 37.98 631.31 29.63 806.26 15.33 6234.26 5.65 16935.65 7.62 12561.59 0.31 114581.51 0.41 115992.72 18.68 1283.22 40.39 2375.2 24.52 3910.94 2.68 35303.47 4.38 21815.71 6.87 3484.18 117.20 95670 382680 1946.4 42230 195710 939.58 23390 278140 35700 78.70 1812.17 197.948 13049 11652 7011 10581 5771 5812 22062 21000 20550 370 450 344 1672 1381 1361 59689 52535 34459 48393 15770 261.89 365.91 13.59 7049.72 125.39 191.2 56.11 1709.38 38.26 626.67 38.23 627.12 29.75 803.87 15.43 6196.74 5.65 16935.03 7.64 12534.63 0.31 119756.16 0.41 103901.05 18.82 1273.73 40.36 2377.19 24.48 3918.19 2.74 34620.99 4.42 21635.47 6.9 3465.57 73.01 95990 382610 1946.34 42230 196100 900.68 23850 278150 35610 63.32 5409.4 5615.4 5519.3 214.65 168.582 8089.4 8697.6 8707.4 128.73 11321.9 11927.7 12239.3 12794.5 99.816 94.265 14338.2 14712.6 14873.2 15231.9 15811.9 16111.4 16680.2 16895 288.36 415.38 15.66 7617.42 137.34 218.22 62.61 1914.91 47.07 636.9 47.1 636.48 40.61 733.98 20.51 5831.93 5.68 21075.26 8.02 14938.83 0.29 151691.73 0.37 144299.06 19.58 1530.63 39.91 3004.85 27.3 4387.28 2.52 47357.41 4.35 27232.91 7.69 3893.77 29.288 12.52 5333.4 5389.3 5580.3 207.84 162.385 8059.2 8864.5 8640 129.2 11315 11905.5 12161.8 12855.3 98.175 94.023 14241.2 14746.7 14846.5 15269.2 15827.9 16050.9 16762.6 16810.4 288.29 415.53 15.63 7626.39 137.23 218.39 62.56 1915.98 46.98 638.13 46.87 639.58 40.04 744.86 20.53 5825.24 5.68 21071.09 8.02 14932.7 0.29 150804.01 0.38 142293.67 19.57 1531.37 39.91 3004.85 27.35 4379.43 2.51 47468.22 4.35 27109.5 7.69 3895.49 29.186 12.68 222.01 5324.3 5455.4 5520.6 208.62 165.809 7960.2 8289.6 8564.3 129.23 11238.1 11839.7 12008 8428 12742.3 7194 4206 99.261 7076 3545 3605 94.301 14289 14082.4 14569.9 14815.4 14017 26000 15041.6 230 268 15691 225 15827.9 1057 16392.9 16633.4 903 889 38979 33789 16672 33085 7748.29 289.07 414.39 15.59 7650.29 137.61 217.79 62.67 1912.82 46.94 638.56 47.14 635.92 40.9 729.58 20.62 5799.67 5.69 21033.04 8.05 14888.49 0.29 146682.31 0.38 142499.69 19.58 1530.84 40.09 2991.51 27.04 4433.69 2.52 47369.39 4.35 27112.85 7.69 3895.01 24.90 133840 534840 2694.61 59060 271570 1201.63 32400 385290 46430 29.146 14.07 12.7 OpenBenchmarking.org
CloverLeaf Input: clover_bm16 OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf 1.3 Input: clover_bm16 h g b c n a d f e j k 400 800 1200 1600 2000 SE +/- 0.98, N = 3 182.63 183.71 214.08 218.67 222.01 224.98 303.86 323.38 323.53 1584.37 1812.17 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
DuckDB Benchmark: IMDB OpenBenchmarking.org Seconds, Fewer Is Better DuckDB 0.9.1 Benchmark: IMDB d a 60 120 180 240 300 SE +/- 3.23, N = 4 SE +/- 1.33, N = 3 259.28 259.42 1. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl
DuckDB Benchmark: TPC-H Parquet OpenBenchmarking.org Seconds, Fewer Is Better DuckDB 0.9.1 Benchmark: TPC-H Parquet a d 40 80 120 160 200 SE +/- 1.27, N = 3 SE +/- 2.06, N = 3 178.04 178.83 1. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl
C-Blosc Test: blosclz noshuffle - Buffer Size: 256MB OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 256MB l m n 1200 2400 3600 4800 6000 5409.4 5333.4 5324.3 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
C-Blosc Test: blosclz bitshuffle - Buffer Size: 256MB OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 256MB l n m 1200 2400 3600 4800 6000 5615.4 5455.4 5389.3 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
C-Blosc Test: blosclz shuffle - Buffer Size: 256MB OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 256MB m n l 1200 2400 3600 4800 6000 5580.3 5520.6 5519.3 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
QMCPACK Input: O_ae_pyscf_UHF OpenBenchmarking.org Total Execution Time - Seconds, Fewer Is Better QMCPACK 3.17.1 Input: O_ae_pyscf_UHF m n l 50 100 150 200 250 207.84 208.62 214.65 1. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
Timed Gem5 Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Gem5 Compilation 23.0.1 Time To Compile m n l j e k g h 50 100 150 200 250 162.39 165.81 168.58 195.49 197.55 197.95 206.08 216.88
C-Blosc Test: blosclz noshuffle - Buffer Size: 128MB OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 128MB l m n 2K 4K 6K 8K 10K 8089.4 8059.2 7960.2 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
C-Blosc Test: blosclz bitshuffle - Buffer Size: 128MB OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 128MB m l n 2K 4K 6K 8K 10K 8864.5 8697.6 8289.6 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
C-Blosc Test: blosclz shuffle - Buffer Size: 128MB OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 128MB l m n 2K 4K 6K 8K 10K 8707.4 8640.0 8564.3 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
QMCPACK Input: FeCO6_b3lyp_gms OpenBenchmarking.org Total Execution Time - Seconds, Fewer Is Better QMCPACK 3.17.1 Input: FeCO6_b3lyp_gms l m n 30 60 90 120 150 128.73 129.20 129.23 1. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
C-Blosc Test: blosclz noshuffle - Buffer Size: 64MB OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 64MB l m n 2K 4K 6K 8K 10K 11321.9 11315.0 11238.1 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
C-Blosc Test: blosclz bitshuffle - Buffer Size: 64MB OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 64MB l m n 3K 6K 9K 12K 15K 11927.7 11905.5 11839.7 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
C-Blosc Test: blosclz shuffle - Buffer Size: 64MB OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 64MB l m n 3K 6K 9K 12K 15K 12239.3 12161.8 12008.0 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OSPRay Studio Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU n b a d k j e g h 4K 8K 12K 16K 20K SE +/- 14.44, N = 3 8428 8429 8459 8493 13049 13319 15787 18877 18945
C-Blosc Test: blosclz noshuffle - Buffer Size: 8MB OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 8MB m l n 3K 6K 9K 12K 15K 12855.3 12794.5 12742.3 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OSPRay Studio Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU a b n d k j e h g 3K 6K 9K 12K 15K SE +/- 6.36, N = 3 7192 7193 7194 7245 11652 11801 13393 16114 16151
OSPRay Studio Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU n b a d j k e g h 2K 4K 6K 8K 10K SE +/- 2.33, N = 3 4206 4213 4239 4258 6496 7011 7892 9424 9487
QMCPACK Input: Li2_STO_ae OpenBenchmarking.org Total Execution Time - Seconds, Fewer Is Better QMCPACK 3.17.1 Input: Li2_STO_ae m n l 20 40 60 80 100 98.18 99.26 99.82 1. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
OSPRay Studio Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU a n b d k j f e h g 3K 6K 9K 12K 15K SE +/- 20.95, N = 3 7076 7076 7113 7142 10581 10852 13231 13272 15942 15955
OSPRay Studio Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU a b n d j k f e g h 2K 4K 6K 8K 10K SE +/- 3.71, N = 3 3539 3542 3545 3558 5349 5771 6628 6633 7939 7952
OSPRay Studio Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU b n a d j k e f g h 2K 4K 6K 8K 10K SE +/- 5.36, N = 3 3594 3605 3620 3636 5659 5812 6711 6711 8009 8010
QMCPACK Input: LiH_ae_MSD OpenBenchmarking.org Total Execution Time - Seconds, Fewer Is Better QMCPACK 3.17.1 Input: LiH_ae_MSD m l n 20 40 60 80 100 94.02 94.27 94.30 1. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
OSPRay Studio Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU a b n d k j f e g h 8K 16K 24K 32K 40K SE +/- 34.26, N = 3 14223 14248 14289 14338 22062 22407 31194 31373 36770 36787
C-Blosc Test: blosclz shuffle - Buffer Size: 8MB OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 8MB l m n 3K 6K 9K 12K 15K 14338.2 14241.2 14082.4 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
C-Blosc Test: blosclz noshuffle - Buffer Size: 32MB OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 32MB m l n 3K 6K 9K 12K 15K 14746.7 14712.6 14569.9 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
C-Blosc Test: blosclz bitshuffle - Buffer Size: 8MB OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 8MB l m n 3K 6K 9K 12K 15K 14873.2 14846.5 14815.4 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OSPRay Studio Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU b n d a k e f j h g 8K 16K 24K 32K 40K SE +/- 11.26, N = 3 13991 14017 14042 14067 21000 30876 30951 31587 36575 36833
Cpuminer-Opt Algorithm: Garlicoin OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 23.5 Algorithm: Garlicoin n k j e d b a h g 6K 12K 18K 24K 30K SE +/- 466.61, N = 12 26000.00 20550.00 20460.00 11540.00 4200.71 3727.55 3725.51 2332.32 2256.38 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
C-Blosc Test: blosclz noshuffle - Buffer Size: 16MB OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 16MB m l n 3K 6K 9K 12K 15K 15269.2 15231.9 15041.6 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OSPRay Studio Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU a b n d j k e f g h 110 220 330 440 550 SE +/- 0.00, N = 3 230 230 230 231 361 370 421 422 505 505
OSPRay Studio Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU b n a d j k e f g h 130 260 390 520 650 SE +/- 0.00, N = 3 268 268 269 270 420 450 496 497 595 595
C-Blosc Test: blosclz bitshuffle - Buffer Size: 32MB OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 32MB m l n 3K 6K 9K 12K 15K 15827.9 15811.9 15691.0 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OSPRay Studio Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU a n b d k j e f g h 110 220 330 440 550 SE +/- 0.00, N = 3 225 225 226 227 344 356 416 416 500 500
C-Blosc Test: blosclz shuffle - Buffer Size: 32MB OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 32MB l m n 3K 6K 9K 12K 15K 16111.4 16050.9 15827.9 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OSPRay Studio Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU n b d a k j e f h g 500 1000 1500 2000 2500 SE +/- 2.03, N = 3 1057 1064 1064 1066 1672 1691 1962 1962 2345 2352
C-Blosc Test: blosclz shuffle - Buffer Size: 16MB OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 16MB m l n 4K 8K 12K 16K 20K 16762.6 16680.2 16392.9 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
C-Blosc Test: blosclz bitshuffle - Buffer Size: 16MB OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 16MB l m n 4K 8K 12K 16K 20K 16895.0 16810.4 16633.4 1. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OSPRay Studio Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU n a b d k j f e h g 400 800 1200 1600 2000 SE +/- 0.88, N = 3 903 907 908 910 1381 1535 1661 1663 1989 1990
OSPRay Studio Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU a b n d k j e f h g 400 800 1200 1600 2000 SE +/- 1.15, N = 3 889 889 889 894 1361 1366 1644 1647 1975 1984
OSPRay Studio Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU b a n d k j e f h g 20K 40K 60K 80K 100K SE +/- 299.89, N = 3 38554 38573 38979 39029 59689 60905 67291 67337 79992 80104
OSPRay Studio Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU b n d a j k e f g h 15K 30K 45K 60K 75K SE +/- 21.94, N = 3 33567 33789 33817 34608 51940 52535 58032 58436 68506 68593
OSPRay Studio Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU n d a b j k e f h g 9K 18K 27K 36K 45K SE +/- 30.39, N = 3 16672 16765 16770 16786 30736 34459 36028 36109 42412 42592
OSPRay Studio Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU n a b d k j e f h g 15K 30K 45K 60K 75K SE +/- 63.66, N = 3 33085 33358 33490 33652 48393 51593 57130 57572 68355 68562
Cpuminer-Opt Algorithm: Ringcoin OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 23.5 Algorithm: Ringcoin k j n b e a d h g 3K 6K 9K 12K 15K SE +/- 117.64, N = 12 15770.00 15560.00 7748.29 5933.75 5867.89 5799.03 5770.26 5300.21 5205.00 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU h g j k m l n e 80 160 240 320 400 244.11 244.29 258.62 261.89 288.29 288.36 289.07 360.89 MIN: 188.68 / MAX: 273.96 MIN: 209.59 / MAX: 272.46 MIN: 201.42 / MAX: 286.91 MIN: 205.93 / MAX: 306.15 MIN: 214.96 / MAX: 344.63 MIN: 214.15 / MAX: 340.62 MIN: 215.04 / MAX: 341.97 MIN: 130.24 / MAX: 396.13 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU m l n j k h g e 90 180 270 360 450 415.53 415.38 414.39 370.50 365.91 196.28 196.21 165.82 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU g h k j n m l e 4 8 12 16 20 13.00 13.03 13.59 13.68 15.59 15.63 15.66 16.72 MIN: 11.57 / MAX: 20.67 MIN: 11.65 / MAX: 22.06 MIN: 11.93 / MAX: 41.34 MIN: 11.91 / MAX: 28.69 MIN: 13.17 / MAX: 34.41 MIN: 12.45 / MAX: 32.59 MIN: 13.15 / MAX: 33.2 MIN: 9.44 / MAX: 29.62 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU n m l k j g h e 1600 3200 4800 6400 8000 7650.29 7626.39 7617.42 7049.72 6992.06 3685.78 3678.97 3566.26 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Face Detection FP16 - Device: CPU g h j k m l n e 80 160 240 320 400 114.95 115.13 124.17 125.39 137.23 137.34 137.61 385.45 MIN: 101.98 / MAX: 211.99 MIN: 92.5 / MAX: 159.18 MIN: 94.99 / MAX: 281.08 MIN: 100.15 / MAX: 195.42 MIN: 105.45 / MAX: 172.87 MIN: 107.88 / MAX: 226.99 MIN: 109.14 / MAX: 177.75 MIN: 237.16 / MAX: 411.93 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection FP16 - Device: CPU m l n j k g h e 50 100 150 200 250 218.39 218.22 217.79 193.11 191.20 104.31 104.12 77.69 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Road Segmentation ADAS FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU h g e j k m l n 14 28 42 56 70 51.84 51.91 54.30 56.00 56.11 62.56 62.61 62.67 MIN: 49.58 / MAX: 74.45 MIN: 44.4 / MAX: 72.89 MIN: 27.95 / MAX: 73.79 MIN: 49.06 / MAX: 176.61 MIN: 49.26 / MAX: 169.49 MIN: 49.16 / MAX: 109.26 MIN: 52.19 / MAX: 111.48 MIN: 51.78 / MAX: 114.18 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Road Segmentation ADAS FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU m l n j k e h g 400 800 1200 1600 2000 1915.98 1914.91 1912.82 1712.71 1709.38 1101.87 925.43 923.91 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU g h j k n m l e 20 40 60 80 100 35.35 35.35 37.93 38.26 46.94 46.98 47.07 103.21 MIN: 29.67 / MAX: 62.19 MIN: 32.55 / MAX: 55.19 MIN: 33.58 / MAX: 128.85 MIN: 31.97 / MAX: 99.85 MIN: 35.97 / MAX: 111.06 MIN: 35.9 / MAX: 87.78 MIN: 39.06 / MAX: 99.76 MIN: 57.77 / MAX: 142.16 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU n m l j k h g e 140 280 420 560 700 638.56 638.13 636.90 632.07 626.67 339.22 339.17 290.36 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Person Detection FP32 - Device: CPU g h j k m l n e 20 40 60 80 100 35.39 35.41 37.98 38.23 46.87 47.10 47.14 103.01 MIN: 32.69 / MAX: 62.18 MIN: 32.93 / MAX: 61.75 MIN: 33.57 / MAX: 87.62 MIN: 34.05 / MAX: 82 MIN: 34.63 / MAX: 89.14 MIN: 35.94 / MAX: 89.59 MIN: 38.01 / MAX: 97.48 MIN: 35.6 / MAX: 143.64 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Person Detection FP32 - Device: CPU m l n j k g h e 140 280 420 560 700 639.58 636.48 635.92 631.31 627.12 338.84 338.61 290.88 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU g h j k m l n e 14 28 42 56 70 27.53 27.75 29.63 29.75 40.04 40.61 40.90 64.66 MIN: 23.27 / MAX: 212.35 MIN: 23.59 / MAX: 217.1 MIN: 23.86 / MAX: 333.15 MIN: 23.81 / MAX: 291.46 MIN: 22.98 / MAX: 252.16 MIN: 28.19 / MAX: 258.26 MIN: 23.54 / MAX: 269.54 MIN: 49.3 / MAX: 84.95 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU j k m l n e g h 200 400 600 800 1000 806.26 803.87 744.86 733.98 729.58 462.66 433.90 430.23 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU g h j k e l m n 5 10 15 20 25 14.44 14.46 15.33 15.43 18.43 20.51 20.53 20.62 MIN: 12.83 / MAX: 23.01 MIN: 13.16 / MAX: 25.98 MIN: 13.52 / MAX: 43.56 MIN: 12.64 / MAX: 42.13 MIN: 8.82 / MAX: 34.87 MIN: 12.93 / MAX: 38.6 MIN: 14.84 / MAX: 38.04 MIN: 14.04 / MAX: 37.86 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU j k l m n g h e 1300 2600 3900 5200 6500 6234.26 6196.74 5831.93 5825.24 5799.67 3319.81 3314.00 3221.62 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Face Detection Retail FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU g h j k l m n e 2 4 6 8 10 5.40 5.41 5.65 5.65 5.68 5.68 5.69 6.28 MIN: 5 / MAX: 12.46 MIN: 5 / MAX: 13.32 MIN: 5.22 / MAX: 20.27 MIN: 5.13 / MAX: 21.07 MIN: 4.97 / MAX: 15.4 MIN: 5.25 / MAX: 14.86 MIN: 5.2 / MAX: 16.43 MIN: 3.85 / MAX: 24.26 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Face Detection Retail FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU l m n j k e g h 5K 10K 15K 20K 25K 21075.26 21071.09 21033.04 16935.65 16935.03 9344.43 8871.46 8855.95 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Face Detection Retail FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Face Detection Retail FP16 - Device: CPU g h j k l m n e 3 6 9 12 15 7.28 7.30 7.62 7.64 8.02 8.02 8.05 9.66 MIN: 6.68 / MAX: 15.94 MIN: 6.66 / MAX: 16.96 MIN: 6.81 / MAX: 24.56 MIN: 6.82 / MAX: 24.32 MIN: 7.02 / MAX: 20.74 MIN: 7.06 / MAX: 19.79 MIN: 7.01 / MAX: 22.43 MIN: 5.23 / MAX: 20.95 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Face Detection Retail FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection Retail FP16 - Device: CPU l m n j k g h e 3K 6K 9K 12K 15K 14938.83 14932.70 14888.49 12561.59 12534.63 6581.71 6566.24 6106.91 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU l m n g h j k e 0.108 0.216 0.324 0.432 0.54 0.29 0.29 0.29 0.30 0.30 0.31 0.31 0.48 MIN: 0.24 / MAX: 41.51 MIN: 0.26 / MAX: 40.41 MIN: 0.23 / MAX: 39.74 MIN: 0.25 / MAX: 20.77 MIN: 0.25 / MAX: 21.33 MIN: 0.26 / MAX: 16.56 MIN: 0.27 / MAX: 17.64 MIN: 0.23 / MAX: 17.56 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU l m n h g k j e 30K 60K 90K 120K 150K 151691.73 150804.01 146682.31 131445.26 131083.06 119756.16 114581.51 106187.70 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU l m n j k g h e 0.1373 0.2746 0.4119 0.5492 0.6865 0.37 0.38 0.38 0.41 0.41 0.51 0.52 0.61 MIN: 0.34 / MAX: 39.96 MIN: 0.29 / MAX: 38.89 MIN: 0.3 / MAX: 43.5 MIN: 0.34 / MAX: 35.61 MIN: 0.33 / MAX: 43.64 MIN: 0.35 / MAX: 25.07 MIN: 0.35 / MAX: 25.08 MIN: 0.26 / MAX: 17.87 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU l n m j k g h e 30K 60K 90K 120K 150K 144299.06 142499.69 142293.67 115992.72 103901.05 90384.31 88444.43 86847.05 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Road Segmentation ADAS FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16 - Device: CPU g h j k m l n e 9 18 27 36 45 17.55 17.58 18.68 18.82 19.57 19.58 19.58 39.86 MIN: 16.33 / MAX: 25.28 MIN: 16.23 / MAX: 27.09 MIN: 16.75 / MAX: 79.48 MIN: 16.8 / MAX: 96.74 MIN: 17.99 / MAX: 38.79 MIN: 17.86 / MAX: 41.74 MIN: 17.93 / MAX: 45.71 MIN: 30.89 / MAX: 59.23 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Road Segmentation ADAS FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16 - Device: CPU m n l j k e g h 300 600 900 1200 1500 1531.37 1530.84 1530.63 1283.22 1273.73 751.14 682.77 681.90 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Handwritten English Recognition FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU l m g n h k j e 11 22 33 44 55 39.91 39.91 39.95 40.09 40.22 40.36 40.39 48.77 MIN: 37.94 / MAX: 58.88 MIN: 37.95 / MAX: 57.96 MIN: 38.59 / MAX: 46.29 MIN: 38.11 / MAX: 59.9 MIN: 39.04 / MAX: 47.11 MIN: 39.01 / MAX: 73.27 MIN: 39.1 / MAX: 63.97 MIN: 29.81 / MAX: 58.65 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Handwritten English Recognition FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU m l n k j e g h 600 1200 1800 2400 3000 3004.85 3004.85 2991.51 2377.19 2375.20 1224.11 1200.82 1192.76 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Handwritten English Recognition FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16 - Device: CPU h g k j n l m e 9 18 27 36 45 24.12 24.23 24.48 24.52 27.04 27.30 27.35 38.54 MIN: 22.95 / MAX: 31.04 MIN: 23.13 / MAX: 32.82 MIN: 23.23 / MAX: 49.9 MIN: 23.19 / MAX: 54.56 MIN: 24.72 / MAX: 50.96 MIN: 24.8 / MAX: 50.96 MIN: 21.13 / MAX: 51.46 MIN: 23.05 / MAX: 52.61 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Handwritten English Recognition FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16 - Device: CPU n l m k j h g e 1000 2000 3000 4000 5000 4433.69 4387.28 4379.43 3918.19 3910.94 1988.30 1979.56 1545.36 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU g h m l n j k e 0.7898 1.5796 2.3694 3.1592 3.949 2.47 2.49 2.51 2.52 2.52 2.68 2.74 3.51 MIN: 2.24 / MAX: 9.11 MIN: 2.24 / MAX: 10.47 MIN: 2.29 / MAX: 14.64 MIN: 2.28 / MAX: 15.14 MIN: 2.3 / MAX: 15.72 MIN: 2.36 / MAX: 31.84 MIN: 2.35 / MAX: 26.63 MIN: 1.45 / MAX: 17.74 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU m n l j k g h e 10K 20K 30K 40K 50K 47468.22 47369.39 47357.41 35303.47 34620.99 19358.98 19208.93 16489.33 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16 - Device: CPU h l m n g j k e 2 4 6 8 10 4.06 4.35 4.35 4.35 4.36 4.38 4.42 6.44 MIN: 3.62 / MAX: 12.04 MIN: 3.72 / MAX: 18.63 MIN: 3.73 / MAX: 16.96 MIN: 3.76 / MAX: 33.39 MIN: 3.58 / MAX: 23 MIN: 3.7 / MAX: 39.28 MIN: 3.73 / MAX: 38.36 MIN: 2.24 / MAX: 17.31 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16 - Device: CPU l n m j k h g e 6K 12K 18K 24K 30K 27232.91 27112.85 27109.50 21815.71 21635.47 11783.36 10978.58 9078.33 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2023.2.dev Model: Vehicle Detection FP16 - Device: CPU h g j k l m n e 4 8 12 16 20 6.34 6.35 6.87 6.90 7.69 7.69 7.69 15.86 MIN: 5.9 / MAX: 14.06 MIN: 5.9 / MAX: 14.78 MIN: 6.09 / MAX: 26.57 MIN: 6.08 / MAX: 44.64 MIN: 6.84 / MAX: 22.74 MIN: 6.78 / MAX: 23.97 MIN: 6.75 / MAX: 23.64 MIN: 11.52 / MAX: 32.13 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Vehicle Detection FP16 - Device: CPU m n l j k h g e 800 1600 2400 3200 4000 3895.49 3895.01 3893.77 3484.18 3465.57 1889.02 1884.46 1878.87 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
CloverLeaf Input: clover_bm64_short OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf 1.3 Input: clover_bm64_short g h c a n b d f e k j 30 60 90 120 150 SE +/- 0.19, N = 3 20.86 20.99 24.12 24.34 24.90 24.97 32.19 38.94 38.96 73.01 117.20 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
Cpuminer-Opt Algorithm: Skeincoin OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 23.5 Algorithm: Skeincoin d a n b k j e g h 30K 60K 90K 120K 150K SE +/- 922.19, N = 3 134140 133860 133840 133600 95990 95670 67000 50420 48010 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: Blake-2 S OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 23.5 Algorithm: Blake-2 S b a n d j k e h g 110K 220K 330K 440K 550K SE +/- 611.34, N = 3 535430 535240 534840 533880 382680 382610 267760 191940 191940 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: Magi OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 23.5 Algorithm: Magi n a b d j k e h g 600 1200 1800 2400 3000 SE +/- 3.06, N = 3 2694.61 2683.56 2681.44 2672.68 1946.40 1946.34 1370.86 986.33 968.45 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: LBC, LBRY Credits OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 23.5 Algorithm: LBC, LBRY Credits b n a d k j e g h 13K 26K 39K 52K 65K SE +/- 30.55, N = 3 59690 59060 58960 58620 42230 42230 29550 21190 21180 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: Quad SHA-256, Pyrite OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 23.5 Algorithm: Quad SHA-256, Pyrite n b a d k j e h g 60K 120K 180K 240K 300K SE +/- 616.52, N = 3 271570 269860 267960 267450 196100 195710 136700 97960 97890 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: scrypt OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 23.5 Algorithm: scrypt a n b d j k e g h 300 600 900 1200 1500 SE +/- 0.70, N = 3 1220.91 1201.63 1194.30 1189.10 939.58 900.68 618.59 472.76 456.46 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: Deepcoin OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 23.5 Algorithm: Deepcoin n b d a k j e h g 7K 14K 21K 28K 35K SE +/- 38.44, N = 3 32400 32320 32317 32300 23850 23390 16340 12140 11730 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: Triple SHA-256, Onecoin OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 23.5 Algorithm: Triple SHA-256, Onecoin n a b d k j e h g 80K 160K 240K 320K 400K SE +/- 1685.56, N = 3 385290 384930 384820 384423 278150 278140 194980 140170 139540 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: Myriad-Groestl OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 23.5 Algorithm: Myriad-Groestl a d n b j k e h g 10K 20K 30K 40K 50K SE +/- 226.96, N = 3 47950 47623 46430 46280 35700 35610 25310 18010 17860 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
QMCPACK Input: simple-H2O OpenBenchmarking.org Total Execution Time - Seconds, Fewer Is Better QMCPACK 3.17.1 Input: simple-H2O n m l 7 14 21 28 35 29.15 29.19 29.29 1. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: double - X Y Z: 1024 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 1024 a b 20 40 60 80 100 82.10 80.47 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 1024 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 1024 a b 20 40 60 80 100 82.82 81.97 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 1024 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 1024 b a 20 40 60 80 100 82.77 82.72 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: Stock - Precision: double - X Y Z: 1024 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: double - X Y Z: 1024 b a 20 40 60 80 100 82.83 82.66 1. (CXX) g++ options: -O3
CloverLeaf Input: clover_bm OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf 1.3 Input: clover_bm f e h i g b a c n d k j 20 40 60 80 100 SE +/- 0.11, N = 3 8.68 8.74 9.87 9.94 10.00 13.69 14.03 14.05 14.07 19.28 63.32 78.70 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 1024 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 1024 a b 30 60 90 120 150 138.03 136.46 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: double - X Y Z: 1024 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 1024 b a 30 60 90 120 150 137.38 137.37 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 1024 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 1024 b a 30 60 90 120 150 155.04 154.94 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: Stock - Precision: double - X Y Z: 1024 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: double - X Y Z: 1024 a b 30 60 90 120 150 154.89 154.81 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: float - X Y Z: 1024 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 1024 b c a 30 60 90 120 150 152.47 152.04 151.72 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 1024 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 1024 b a 30 60 90 120 150 153.99 153.32 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 1024 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 1024 b a 30 60 90 120 150 153.36 152.25 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: Stock - Precision: float - X Y Z: 1024 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: float - X Y Z: 1024 b a 30 60 90 120 150 152.92 152.49 1. (CXX) g++ options: -O3
QMCPACK Input: H4_ae OpenBenchmarking.org Total Execution Time - Seconds, Fewer Is Better QMCPACK 3.17.1 Input: H4_ae l m n 3 6 9 12 15 12.52 12.68 12.70 1. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 1024 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 1024 a b 60 120 180 240 300 262.19 262.09 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: float - X Y Z: 1024 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 1024 b a 60 120 180 240 300 262.00 261.58 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: Stock - Precision: float - X Y Z: 1024 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: float - X Y Z: 1024 a b 60 120 180 240 300 298.19 297.89 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 1024 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 1024 a b 70 140 210 280 350 299.64 297.94 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 512 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 512 a b 15 30 45 60 75 67.01 66.19 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512 a b c 16 32 48 64 80 69.69 65.41 65.12 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: Stock - Precision: double - X Y Z: 512 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: double - X Y Z: 512 a b 16 32 48 64 80 72.03 71.31 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 512 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 512 a b 16 32 48 64 80 71.74 71.46 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512 a b 30 60 90 120 150 123.79 122.95 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 512 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 512 a b 30 60 90 120 150 124.49 123.11 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: Stock - Precision: float - X Y Z: 512 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: float - X Y Z: 512 b a c 30 60 90 120 150 129.55 119.58 118.43 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 512 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 512 b a 30 60 90 120 150 129.79 128.23 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512 a b c 30 60 90 120 150 136.09 133.27 130.46 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: Stock - Precision: double - X Y Z: 512 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: double - X Y Z: 512 a b 30 60 90 120 150 133.76 131.44 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 512 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 512 a b 30 60 90 120 150 135.65 132.37 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 512 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 512 a b 30 60 90 120 150 134.08 133.67 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: Stock - Precision: float - X Y Z: 512 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: float - X Y Z: 512 b a 50 100 150 200 250 245.52 242.76 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 512 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 512 a b 50 100 150 200 250 246.42 238.18 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 512 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 512 a b 50 100 150 200 250 244.61 241.84 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512 a b c 50 100 150 200 250 242.80 238.31 236.92 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 256 a b 15 30 45 60 75 67.45 63.59 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256 a b c 14 28 42 56 70 64.85 63.68 62.71 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 256 a b 15 30 45 60 75 67.43 65.55 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: Stock - Precision: double - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: double - X Y Z: 256 b a 15 30 45 60 75 67.00 65.75 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 c a b 20 40 60 80 100 92.64 71.48 66.64 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 256 b a 30 60 90 120 150 131.69 127.35 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: Stock - Precision: float - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: float - X Y Z: 256 a c b 40 80 120 160 200 172.19 159.46 157.03 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256 b c a 40 80 120 160 200 173.45 160.51 159.22 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 256 a b 40 80 120 160 200 162.02 158.12 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 256 a b 40 80 120 160 200 166.06 158.01 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: Stock - Precision: double - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: double - X Y Z: 256 a b 30 60 90 120 150 149.78 146.84 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 256 b a 30 60 90 120 150 157.55 156.74 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 c a b 30 60 90 120 150 115.40 89.76 41.56 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256 b a 30 60 90 120 150 138.93 130.15 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: Stock - Precision: float - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: float - X Y Z: 256 a b 80 160 240 320 400 360.02 323.21 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 256 b a 80 160 240 320 400 348.23 323.08 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256 a c b 80 160 240 320 400 345.60 341.13 331.45 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 b c a 40 80 120 160 200 176.18 175.27 175.04 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 128 b a 20 40 60 80 100 90.23 87.91 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 128 a b 16 32 48 64 80 71.96 38.50 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 128 b a 20 40 60 80 100 92.73 29.78 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 256 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 256 b a 70 140 210 280 350 327.72 322.72 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 128 a b 30 60 90 120 150 123.36 123.26 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 128 a b 40 80 120 160 200 164.82 158.42 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: Stock - Precision: float - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: float - X Y Z: 128 a b 40 80 120 160 200 161.82 161.36 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 128 b a 40 80 120 160 200 175.74 165.32 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: Stock - Precision: float - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: float - X Y Z: 128 b a c 30 60 90 120 150 126.18 125.36 108.63 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 128 a b 30 60 90 120 150 143.40 132.64 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: Stock - Precision: double - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: double - X Y Z: 128 b a 30 60 90 120 150 125.70 115.20 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 b c a 30 60 90 120 150 145.30 144.14 140.10 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: c2c - Backend: Stock - Precision: double - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: double - X Y Z: 128 b a 20 40 60 80 100 90.01 89.02 1. (CXX) g++ options: -O3
HeFFTe - Highly Efficient FFT for Exascale Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 128 OpenBenchmarking.org GFLOP/s, More Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 128 b a 30 60 90 120 150 124.55 120.20 1. (CXX) g++ options: -O3
Phoronix Test Suite v10.8.4