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.

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
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Identifier
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Date
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  Test
  Duration
a
October 28 2023
  1 Hour, 15 Minutes
b
October 28 2023
  49 Minutes
c
October 29 2023
  6 Minutes
d
October 29 2023
  2 Hours, 26 Minutes
e
November 01 2023
  1 Hour, 17 Minutes
f
November 01 2023
  24 Minutes
g
November 02 2023
  1 Hour, 15 Minutes
h
November 02 2023
  1 Hour, 15 Minutes
i
November 02 2023
  1 Minute
j
November 02 2023
  1 Hour, 43 Minutes
k
November 02 2023
  1 Hour, 49 Minutes
l
November 05 2023
  1 Hour, 30 Minutes
m
November 05 2023
  1 Hour, 30 Minutes
n
November 06 2023
  2 Hours, 8 Minutes
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new-sat ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDesktopDisplay ServerCompilerFile-SystemScreen Resolutionabcdefghijklmn2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads)Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS)Intel Device 1bce1008GB3201GB Micron_7450_MTFDKCC3T2TFSASPEED2 x Intel X710 for 10GBASE-TUbuntu 23.106.6.0-rc5-phx-patched (x86_64)GNOME Shell 45.0X Server 1.21.1.7GCC 13.2.0ext41920x1200Intel Xeon Platinum 8490H @ 3.50GHz (60 Cores / 120 Threads)512GBIntel Xeon Max 9468 @ 3.50GHz (48 Cores / 96 Threads)2 x Intel Xeon Max 9468 @ 3.50GHz (96 Cores / 192 Threads)1008GB2 x Intel X710 for 10GBASE-T2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads)OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler 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: 0x2b0004b1Security 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 heffte: r2c - Stock - float-long - 512cloverleaf: clover_bmheffte: r2c - Stock - double-long - 256cloverleaf: clover_bm16heffte: c2c - Stock - double-long - 512heffte: c2c - Stock - float-long - 256heffte: r2c - FFTW - double-long - 512heffte: r2c - FFTW - float-long - 128heffte: c2c - FFTW - double-long - 256heffte: c2c - FFTW - double - 128heffte: c2c - FFTW - double - 256heffte: r2c - FFTW - float - 256heffte: r2c - FFTW - float - 512heffte: r2c - FFTW - float - 128heffte: c2c - FFTW - float - 512heffte: c2c - FFTW - float - 256heffte: r2c - Stock - double-long - 1024heffte: c2c - FFTW - double - 512heffte: c2c - FFTW - float-long - 256heffte: c2c - FFTW - float - 1024heffte: r2c - FFTW - float-long - 512heffte: c2c - Stock - float - 128heffte: c2c - FFTW - float-long - 1024heffte: c2c - Stock - float - 256heffte: r2c - FFTW - double-long - 128heffte: c2c - Stock - float - 512heffte: r2c - Stock - float-long - 128heffte: r2c - FFTW - double - 128heffte: c2c - Stock - double-long - 128heffte: r2c - FFTW - double - 256heffte: r2c - FFTW - double-long - 1024heffte: r2c - FFTW - double - 512heffte: r2c - Stock - float-long - 1024heffte: r2c - FFTW - float - 1024heffte: c2c - FFTW - float-long - 128heffte: r2c - Stock - float - 128heffte: c2c - FFTW - float-long - 512heffte: r2c - Stock - float - 256heffte: r2c - FFTW - float-long - 256heffte: r2c - Stock - float - 512heffte: c2c - FFTW - double-long - 128heffte: c2c - FFTW - double - 1024heffte: c2c - FFTW - double-long - 512heffte: c2c - Stock - double - 128heffte: c2c - Stock - float-long - 128heffte: c2c - Stock - double - 256heffte: c2c - Stock - float-long - 512heffte: c2c - Stock - double - 512heffte: r2c - FFTW - double-long - 256heffte: c2c - Stock - float - 1024heffte: r2c - FFTW - float-long - 1024heffte: r2c - FFTW - double - 1024heffte: r2c - Stock - float-long - 256heffte: r2c - Stock - double - 128heffte: c2c - FFTW - float - 128heffte: r2c - Stock - double - 256heffte: c2c - Stock - double-long - 256heffte: r2c - Stock - double - 512heffte: c2c - Stock - float-long - 1024heffte: r2c - Stock - float - 1024heffte: r2c - Stock - double-long - 128heffte: c2c - Stock - double - 1024heffte: r2c - Stock - double-long - 512heffte: r2c - Stock - double - 1024heffte: c2c - Stock - double-long - 1024heffte: c2c - FFTW - double-long - 1024cloverleaf: clover_bm64_shortopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUqmcpack: H4_aeqmcpack: Li2_STO_aeqmcpack: LiH_ae_MSDqmcpack: simple-H2Oqmcpack: O_ae_pyscf_UHFqmcpack: FeCO6_b3lyp_gmscpuminer-opt: Magicpuminer-opt: scryptcpuminer-opt: Deepcoincpuminer-opt: Ringcoincpuminer-opt: Blake-2 Scpuminer-opt: Garlicoincpuminer-opt: Skeincoincpuminer-opt: Myriad-Groestlcpuminer-opt: LBC, LBRY Creditscpuminer-opt: Quad SHA-256, Pyritecpuminer-opt: Triple SHA-256, Onecoinospray-studio: 1 - 4K - 1 - Path Tracer - CPUospray-studio: 2 - 4K - 1 - Path Tracer - CPUospray-studio: 3 - 4K - 1 - Path Tracer - CPUospray-studio: 1 - 4K - 16 - Path Tracer - CPUospray-studio: 1 - 4K - 32 - Path Tracer - CPUospray-studio: 2 - 4K - 16 - Path Tracer - CPUospray-studio: 2 - 4K - 32 - Path Tracer - CPUospray-studio: 3 - 4K - 16 - Path Tracer - CPUospray-studio: 3 - 4K - 32 - Path Tracer - CPUospray-studio: 1 - 1080p - 1 - Path Tracer - CPUospray-studio: 2 - 1080p - 1 - Path Tracer - CPUospray-studio: 3 - 1080p - 1 - Path Tracer - CPUospray-studio: 1 - 1080p - 16 - Path Tracer - CPUospray-studio: 1 - 1080p - 32 - Path Tracer - CPUospray-studio: 2 - 1080p - 16 - Path Tracer - CPUospray-studio: 2 - 1080p - 32 - Path Tracer - CPUospray-studio: 3 - 1080p - 16 - Path Tracer - CPUospray-studio: 3 - 1080p - 32 - Path Tracer - CPUbuild-gem5: Time To Compileblosc: blosclz shuffle - 8MBblosc: blosclz shuffle - 16MBblosc: blosclz shuffle - 32MBblosc: blosclz shuffle - 64MBblosc: blosclz noshuffle - 8MBblosc: blosclz shuffle - 128MBblosc: blosclz shuffle - 256MBblosc: blosclz bitshuffle - 8MBblosc: blosclz noshuffle - 16MBblosc: blosclz noshuffle - 32MBblosc: blosclz noshuffle - 64MBblosc: blosclz bitshuffle - 16MBblosc: blosclz bitshuffle - 32MBblosc: blosclz bitshuffle - 64MBblosc: blosclz noshuffle - 128MBblosc: blosclz noshuffle - 256MBblosc: blosclz bitshuffle - 128MBblosc: blosclz bitshuffle - 256MBduckdb: IMDBduckdb: TPC-H Parquetabcdefghijklmn244.60614.03156.736224.9871.7427162.018124.494165.32467.450171.477464.8474345.601242.8175.042136.085159.217154.93969.6908166.056151.717246.417125.363152.251172.18671.9574119.576164.81789.763987.9144130.153138.026123.786299.635261.576143.402161.815134.078360.023323.078242.76329.776582.096667.010389.0188123.36465.75128.2372.0271127.353152.494262.189137.37322.715115.201140.098149.77767.4313133.759153.32298.194120.19582.6559135.652154.8982.724882.817724.342683.561220.91323005799.035352403725.5113386047950589602679603849308899071066140673335814223346081677038573225230269353970763620719242398459259.420178.042241.83913.69157.55214.0871.4551158.115123.112175.73763.586166.638163.6836331.454238.309176.183133.271173.449155.04465.4142158.009152.472238.175126.182153.363157.02538.4964129.547158.41941.555690.2338138.926136.462122.949297.937262.003132.641161.364133.67323.206348.229245.52292.73180.468966.191290.0107123.25966.9959129.79471.3098131.689152.916262.087137.378327.718125.701145.298146.83965.5461131.436153.985297.888124.54682.8318132.365154.8182.77181.965224.972681.441194.3323205933.755354303727.551336004628059690269860384820889908106413991334901424833567167863855422623026835427113359471934213842914.05218.6792.639462.712341.133236.917175.272130.463160.51165.1177152.035108.631159.458118.43115.397144.14224.1219.28303.8632.192672.681189.10323175770.265338804200.7113414047623586202674503844238949101064140423365214338338171676539029227231270355871423636724542588493259.283178.8258.74323.5338.9677.69385.45165.82360.8986847.050.61106187.70.48290.36103.21290.88103.0116489.333.519078.336.443221.6218.431878.8715.863566.2616.72462.6664.666106.919.669344.436.281545.3638.541224.1148.77751.1439.861101.8754.31370.86618.59163405867.8926776011540670002531029550136700194980164416631962308765713031373580323602867291416421496663313272671113393789215787197.5458.68323.3838.94164716611962309515757231194584363610967337416422497662813231671110.00183.7120.86104.31114.95196.21244.2990384.310.51131083.060.3339.1735.35338.8435.3919358.982.4710978.584.363319.8114.441884.466.353685.7813433.927.536581.717.288871.465.41979.5624.231200.8239.95682.7717.55923.9151.91968.45472.761173052051919402256.3850420178602119097890139540198419902352368336856236770685064259280104500505595793915955800916151942418877206.0799.87182.6320.99104.12115.13196.28244.1188444.430.52131445.260.3339.2235.35338.6135.4119208.932.4911783.364.06331414.461889.026.343678.9713.03430.2327.756566.247.38855.955.411988.324.121192.7640.22681.917.58925.4351.84986.33456.46121405300.211919402332.3248010180102118097960140170197519892345365756835536787685934241279992500505595795215942801016114948718945216.8789.9478.701584.37117.20193.11124.17370.5258.62115992.720.41114581.510.31632.0737.93631.3137.9835303.472.6821815.714.386234.2615.333484.186.876992.0613.68806.2629.6312561.597.6216935.655.653910.9424.522375.240.391283.2218.681712.71561946.4939.58233901556038268020460956703570042230195710278140136615351691315875159322407519403073660905356361420534910852565911801649613319195.48963.321812.1773.01191.2125.39365.91261.89103901.050.41119756.160.31626.6738.26627.1238.2334620.992.7421635.474.426196.7415.433465.576.97049.7213.59803.8729.7512534.637.6416935.035.653918.1924.482377.1940.361273.7318.821709.3856.111946.34900.68238501577038261020550959903561042230196100278150136113811672210004839322062525353445959689344370450577110581581211652701113049197.948218.22137.34415.38288.36144299.060.37151691.730.29636.947.07636.4847.147357.412.5227232.914.355831.9320.513893.777.697617.4215.66733.9840.6114938.838.0221075.265.684387.2827.33004.8539.911530.6319.581914.9162.6112.5299.81694.26529.288214.65128.73168.58214338.216680.216111.412239.312794.58707.45519.314873.215231.914712.611321.91689515811.911927.78089.45409.48697.65615.4218.39137.23415.53288.29142293.670.38150804.010.29638.1346.98639.5846.8747468.222.5127109.54.355825.2420.533895.497.697626.3915.63744.8640.0414932.78.0221071.095.684379.4327.353004.8539.911531.3719.571915.9862.5612.6898.17594.02329.186207.84129.2162.38514241.216762.616050.912161.812855.386405580.314846.515269.214746.71131516810.415827.911905.58059.25333.48864.55389.314.07222.0124.90217.79137.61414.39289.07142499.690.38146682.310.29638.5646.94635.9247.1447369.392.5227112.854.355799.6720.623895.017.697650.2915.59729.5840.914888.498.0521033.045.694433.6927.042991.5140.091530.8419.581912.8262.6712.799.26194.30129.146208.62129.232694.611201.63324007748.295348402600013384046430590602715703852908899031057140173308514289337891667238979225230268354570763605719442068428165.80914082.416392.915827.91200812742.38564.35520.614815.415041.614569.911238.116633.41569111839.77960.25324.38289.65455.4OpenBenchmarking.org

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 512ab50100150200250244.61241.841. (CXX) g++ options: -O3

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bmabcdefghijkn20406080100SE +/- 0.11, N = 314.0313.6914.0519.288.748.6810.009.879.9478.7063.3214.071. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 256ab306090120150156.74157.551. (CXX) g++ options: -O3

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm16abcdefghjkn400800120016002000SE +/- 0.98, N = 3224.98214.08218.67303.86323.53323.38183.71182.631584.371812.17222.011. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 512ab163248648071.7471.461. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 256ab4080120160200162.02158.121. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 512ab306090120150124.49123.111. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 128ab4080120160200165.32175.741. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 256ab153045607567.4563.591. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128abc2040608010071.4866.6492.641. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256abc142842567064.8563.6862.711. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256abc80160240320400345.60331.45341.131. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512abc50100150200250242.80238.31236.921. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128abc4080120160200175.04176.18175.271. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512abc306090120150136.09133.27130.461. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256abc4080120160200159.22173.45160.511. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 1024ab306090120150154.94155.041. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512abc163248648069.6965.4165.121. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 256ab4080120160200166.06158.011. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: float - X Y Z: 1024abc306090120150151.72152.47152.041. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 512ab50100150200250246.42238.181. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: float - X Y Z: 128abc306090120150125.36126.18108.631. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 1024ab306090120150152.25153.361. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: float - X Y Z: 256abc4080120160200172.19157.03159.461. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 128ab163248648071.9638.501. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: float - X Y Z: 512abc306090120150119.58129.55118.431. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 128ab4080120160200164.82158.421. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128abc30609012015089.7641.56115.401. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 128ab2040608010087.9190.231. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256ab306090120150130.15138.931. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 1024ab306090120150138.03136.461. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512ab306090120150123.79122.951. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 1024ab70140210280350299.64297.941. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: float - X Y Z: 1024ab60120180240300261.58262.001. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 128ab306090120150143.40132.641. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: float - X Y Z: 128ab4080120160200161.82161.361. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 512ab306090120150134.08133.671. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: float - X Y Z: 256ab80160240320400360.02323.211. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 256ab80160240320400323.08348.231. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: float - X Y Z: 512ab50100150200250242.76245.521. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 128ab2040608010029.7892.731. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: double - X Y Z: 1024ab2040608010082.1080.471. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 512ab153045607567.0166.191. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: double - X Y Z: 128ab2040608010089.0290.011. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 128ab306090120150123.36123.261. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: double - X Y Z: 256ab153045607565.7567.001. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 512ab306090120150128.23129.791. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: double - X Y Z: 512ab163248648072.0371.311. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 256ab306090120150127.35131.691. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: float - X Y Z: 1024ab306090120150152.49152.921. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 1024ab60120180240300262.19262.091. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: double - X Y Z: 1024ab306090120150137.37137.381. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 256ab70140210280350322.72327.721. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: double - X Y Z: 128ab306090120150115.20125.701. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128abc306090120150140.10145.30144.141. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: double - X Y Z: 256ab306090120150149.78146.841. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 256ab153045607567.4365.551. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: double - X Y Z: 512ab306090120150133.76131.441. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 1024ab306090120150153.32153.991. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: float - X Y Z: 1024ab60120180240300298.19297.891. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 128ab306090120150120.20124.551. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: double - X Y Z: 1024ab2040608010082.6682.831. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 512ab306090120150135.65132.371. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: Stock - Precision: double - X Y Z: 1024ab306090120150154.89154.811. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 1024ab2040608010082.7282.771. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 1024ab2040608010082.8281.971. (CXX) g++ options: -O3

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm64_shortabcdefghjkn306090120150SE +/- 0.19, N = 324.3424.9724.1232.1938.9638.9420.8620.99117.2073.0124.901. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16 - Device: CPUeghjklmn5010015020025077.69104.31104.12193.11191.20218.22218.39217.791. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16 - Device: CPUeghjklmn80160240320400385.45114.95115.13124.17125.39137.34137.23137.61MIN: 237.16 / MAX: 411.93MIN: 101.98 / MAX: 211.99MIN: 92.5 / MAX: 159.18MIN: 94.99 / MAX: 281.08MIN: 100.15 / MAX: 195.42MIN: 107.88 / MAX: 226.99MIN: 105.45 / MAX: 172.87MIN: 109.14 / MAX: 177.751. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUeghjklmn90180270360450165.82196.21196.28370.50365.91415.38415.53414.391. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUeghjklmn80160240320400360.89244.29244.11258.62261.89288.36288.29289.07MIN: 130.24 / MAX: 396.13MIN: 209.59 / MAX: 272.46MIN: 188.68 / MAX: 273.96MIN: 201.42 / MAX: 286.91MIN: 205.93 / MAX: 306.15MIN: 214.15 / MAX: 340.62MIN: 214.96 / MAX: 344.63MIN: 215.04 / MAX: 341.971. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUeghjklmn30K60K90K120K150K86847.0590384.3188444.43115992.72103901.05144299.06142293.67142499.691. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUeghjklmn0.13730.27460.41190.54920.68650.610.510.520.410.410.370.380.38MIN: 0.26 / MAX: 17.87MIN: 0.35 / MAX: 25.07MIN: 0.35 / MAX: 25.08MIN: 0.34 / MAX: 35.61MIN: 0.33 / MAX: 43.64MIN: 0.34 / MAX: 39.96MIN: 0.29 / MAX: 38.89MIN: 0.3 / MAX: 43.51. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUeghjklmn30K60K90K120K150K106187.70131083.06131445.26114581.51119756.16151691.73150804.01146682.311. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUeghjklmn0.1080.2160.3240.4320.540.480.300.300.310.310.290.290.29MIN: 0.23 / MAX: 17.56MIN: 0.25 / MAX: 20.77MIN: 0.25 / MAX: 21.33MIN: 0.26 / MAX: 16.56MIN: 0.27 / MAX: 17.64MIN: 0.24 / MAX: 41.51MIN: 0.26 / MAX: 40.41MIN: 0.23 / MAX: 39.741. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUeghjklmn140280420560700290.36339.17339.22632.07626.67636.90638.13638.561. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUeghjklmn20406080100103.2135.3535.3537.9338.2647.0746.9846.94MIN: 57.77 / MAX: 142.16MIN: 29.67 / MAX: 62.19MIN: 32.55 / MAX: 55.19MIN: 33.58 / MAX: 128.85MIN: 31.97 / MAX: 99.85MIN: 39.06 / MAX: 99.76MIN: 35.9 / MAX: 87.78MIN: 35.97 / MAX: 111.061. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Detection FP32 - Device: CPUeghjklmn140280420560700290.88338.84338.61631.31627.12636.48639.58635.921. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP32 - Device: CPUeghjklmn20406080100103.0135.3935.4137.9838.2347.1046.8747.14MIN: 35.6 / MAX: 143.64MIN: 32.69 / MAX: 62.18MIN: 32.93 / MAX: 61.75MIN: 33.57 / MAX: 87.62MIN: 34.05 / MAX: 82MIN: 35.94 / MAX: 89.59MIN: 34.63 / MAX: 89.14MIN: 38.01 / MAX: 97.481. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUeghjklmn10K20K30K40K50K16489.3319358.9819208.9335303.4734620.9947357.4147468.2247369.391. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUeghjklmn0.78981.57962.36943.15923.9493.512.472.492.682.742.522.512.52MIN: 1.45 / MAX: 17.74MIN: 2.24 / MAX: 9.11MIN: 2.24 / MAX: 10.47MIN: 2.36 / MAX: 31.84MIN: 2.35 / MAX: 26.63MIN: 2.28 / MAX: 15.14MIN: 2.29 / MAX: 14.64MIN: 2.3 / MAX: 15.721. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16 - Device: CPUeghjklmn6K12K18K24K30K9078.3310978.5811783.3621815.7121635.4727232.9127109.5027112.851. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16 - Device: CPUeghjklmn2468106.444.364.064.384.424.354.354.35MIN: 2.24 / MAX: 17.31MIN: 3.58 / MAX: 23MIN: 3.62 / MAX: 12.04MIN: 3.7 / MAX: 39.28MIN: 3.73 / MAX: 38.36MIN: 3.72 / MAX: 18.63MIN: 3.73 / MAX: 16.96MIN: 3.76 / MAX: 33.391. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUeghjklmn130026003900520065003221.623319.813314.006234.266196.745831.935825.245799.671. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUeghjklmn51015202518.4314.4414.4615.3315.4320.5120.5320.62MIN: 8.82 / MAX: 34.87MIN: 12.83 / MAX: 23.01MIN: 13.16 / MAX: 25.98MIN: 13.52 / MAX: 43.56MIN: 12.64 / MAX: 42.13MIN: 12.93 / MAX: 38.6MIN: 14.84 / MAX: 38.04MIN: 14.04 / MAX: 37.861. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16 - Device: CPUeghjklmn80016002400320040001878.871884.461889.023484.183465.573893.773895.493895.011. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16 - Device: CPUeghjklmn4812162015.866.356.346.876.907.697.697.69MIN: 11.52 / MAX: 32.13MIN: 5.9 / MAX: 14.78MIN: 5.9 / MAX: 14.06MIN: 6.09 / MAX: 26.57MIN: 6.08 / MAX: 44.64MIN: 6.84 / MAX: 22.74MIN: 6.78 / MAX: 23.97MIN: 6.75 / MAX: 23.641. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUeghjklmn160032004800640080003566.263685.783678.976992.067049.727617.427626.397650.291. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUeghjklmn4812162016.7213.0013.0313.6813.5915.6615.6315.59MIN: 9.44 / MAX: 29.62MIN: 11.57 / MAX: 20.67MIN: 11.65 / MAX: 22.06MIN: 11.91 / MAX: 28.69MIN: 11.93 / MAX: 41.34MIN: 13.15 / MAX: 33.2MIN: 12.45 / MAX: 32.59MIN: 13.17 / MAX: 34.411. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUeghjklmn2004006008001000462.66433.90430.23806.26803.87733.98744.86729.581. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUeghjklmn142842567064.6627.5327.7529.6329.7540.6140.0440.90MIN: 49.3 / MAX: 84.95MIN: 23.27 / MAX: 212.35MIN: 23.59 / MAX: 217.1MIN: 23.86 / MAX: 333.15MIN: 23.81 / MAX: 291.46MIN: 28.19 / MAX: 258.26MIN: 22.98 / MAX: 252.16MIN: 23.54 / MAX: 269.541. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16 - Device: CPUeghjklmn3K6K9K12K15K6106.916581.716566.2412561.5912534.6314938.8314932.7014888.491. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16 - Device: CPUeghjklmn36912159.667.287.307.627.648.028.028.05MIN: 5.23 / MAX: 20.95MIN: 6.68 / MAX: 15.94MIN: 6.66 / MAX: 16.96MIN: 6.81 / MAX: 24.56MIN: 6.82 / MAX: 24.32MIN: 7.02 / MAX: 20.74MIN: 7.06 / MAX: 19.79MIN: 7.01 / MAX: 22.431. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUeghjklmn5K10K15K20K25K9344.438871.468855.9516935.6516935.0321075.2621071.0921033.041. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUeghjklmn2468106.285.405.415.655.655.685.685.69MIN: 3.85 / MAX: 24.26MIN: 5 / MAX: 12.46MIN: 5 / MAX: 13.32MIN: 5.22 / MAX: 20.27MIN: 5.13 / MAX: 21.07MIN: 4.97 / MAX: 15.4MIN: 5.25 / MAX: 14.86MIN: 5.2 / MAX: 16.431. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16 - Device: CPUeghjklmn100020003000400050001545.361979.561988.303910.943918.194387.284379.434433.691. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16 - Device: CPUeghjklmn91827364538.5424.2324.1224.5224.4827.3027.3527.04MIN: 23.05 / MAX: 52.61MIN: 23.13 / MAX: 32.82MIN: 22.95 / MAX: 31.04MIN: 23.19 / MAX: 54.56MIN: 23.23 / MAX: 49.9MIN: 24.8 / MAX: 50.96MIN: 21.13 / MAX: 51.46MIN: 24.72 / MAX: 50.961. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUeghjklmn60012001800240030001224.111200.821192.762375.202377.193004.853004.852991.511. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUeghjklmn112233445548.7739.9540.2240.3940.3639.9139.9140.09MIN: 29.81 / MAX: 58.65MIN: 38.59 / MAX: 46.29MIN: 39.04 / MAX: 47.11MIN: 39.1 / MAX: 63.97MIN: 39.01 / MAX: 73.27MIN: 37.94 / MAX: 58.88MIN: 37.95 / MAX: 57.96MIN: 38.11 / MAX: 59.91. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16 - Device: CPUeghjklmn30060090012001500751.14682.77681.901283.221273.731530.631531.371530.841. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16 - Device: CPUeghjklmn91827364539.8617.5517.5818.6818.8219.5819.5719.58MIN: 30.89 / MAX: 59.23MIN: 16.33 / MAX: 25.28MIN: 16.23 / MAX: 27.09MIN: 16.75 / MAX: 79.48MIN: 16.8 / MAX: 96.74MIN: 17.86 / MAX: 41.74MIN: 17.99 / MAX: 38.79MIN: 17.93 / MAX: 45.711. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUeghjklmn4008001200160020001101.87923.91925.431712.711709.381914.911915.981912.821. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUeghjklmn142842567054.3051.9151.8456.0056.1162.6162.5662.67MIN: 27.95 / MAX: 73.79MIN: 44.4 / MAX: 72.89MIN: 49.58 / MAX: 74.45MIN: 49.06 / MAX: 176.61MIN: 49.26 / MAX: 169.49MIN: 52.19 / MAX: 111.48MIN: 49.16 / MAX: 109.26MIN: 51.78 / MAX: 114.181. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: H4_aelmn369121512.5212.6812.701. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: Li2_STO_aelmn2040608010099.8298.1899.261. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: LiH_ae_MSDlmn2040608010094.2794.0294.301. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: simple-H2Olmn71421283529.2929.1929.151. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: O_ae_pyscf_UHFlmn50100150200250214.65207.84208.621. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: FeCO6_b3lyp_gmslmn306090120150128.73129.20129.231. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Magiabdeghjkn6001200180024003000SE +/- 3.06, N = 32683.562681.442672.681370.86968.45986.331946.401946.342694.611. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: scryptabdeghjkn30060090012001500SE +/- 0.70, N = 31220.911194.301189.10618.59472.76456.46939.58900.681201.631. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Deepcoinabdeghjkn7K14K21K28K35KSE +/- 38.44, N = 33230032320323171634011730121402339023850324001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Ringcoinabdeghjkn3K6K9K12K15KSE +/- 117.64, N = 125799.035933.755770.265867.895205.005300.2115560.0015770.007748.291. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Blake-2 Sabdeghjkn110K220K330K440K550KSE +/- 611.34, N = 35352405354305338802677601919401919403826803826105348401. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Garlicoinabdeghjkn6K12K18K24K30KSE +/- 466.61, N = 123725.513727.554200.7111540.002256.382332.3220460.0020550.0026000.001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Skeincoinabdeghjkn30K60K90K120K150KSE +/- 922.19, N = 313386013360013414067000504204801095670959901338401. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Myriad-Groestlabdeghjkn10K20K30K40K50KSE +/- 226.96, N = 34795046280476232531017860180103570035610464301. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: LBC, LBRY Creditsabdeghjkn13K26K39K52K65KSE +/- 30.55, N = 35896059690586202955021190211804223042230590601. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Quad SHA-256, Pyriteabdeghjkn60K120K180K240K300KSE +/- 616.52, N = 326796026986026745013670097890979601957101961002715701. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Triple SHA-256, Onecoinabdeghjkn80K160K240K320K400KSE +/- 1685.56, N = 33849303848203844231949801395401401702781402781503852901. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUabdefghjkn400800120016002000SE +/- 1.15, N = 3889889894164416471984197513661361889

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUabdefghjkn400800120016002000SE +/- 0.88, N = 3907908910166316611990198915351381903

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUabdefghjkn5001000150020002500SE +/- 2.03, N = 31066106410641962196223522345169116721057

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUabdefghjkn8K16K24K32K40KSE +/- 11.26, N = 314067139911404230876309513683336575315872100014017

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUabdefghjkn15K30K45K60K75KSE +/- 63.66, N = 333358334903365257130575726856268355515934839333085

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUabdefghjkn8K16K24K32K40KSE +/- 34.26, N = 314223142481433831373311943677036787224072206214289

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUabdefghjkn15K30K45K60K75KSE +/- 21.94, N = 334608335673381758032584366850668593519405253533789

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUabdefghjkn9K18K27K36K45KSE +/- 30.39, N = 316770167861676536028361094259242412307363445916672

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUabdefghjkn20K40K60K80K100KSE +/- 299.89, N = 338573385543902967291673378010479992609055968938979

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUabdefghjkn110220330440550SE +/- 0.00, N = 3225226227416416500500356344225

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUabdefghjkn110220330440550SE +/- 0.00, N = 3230230231421422505505361370230

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUabdefghjkn130260390520650SE +/- 0.00, N = 3269268270496497595595420450268

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUabdefghjkn2K4K6K8K10KSE +/- 3.71, N = 33539354235586633662879397952534957713545

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUabdefghjkn3K6K9K12K15KSE +/- 20.95, N = 37076711371421327213231159551594210852105817076

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUabdefghjkn2K4K6K8K10KSE +/- 5.36, N = 33620359436366711671180098010565958123605

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUabdeghjkn3K6K9K12K15KSE +/- 6.36, N = 371927193724513393161511611411801116527194

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUabdeghjkn2K4K6K8K10KSE +/- 2.33, N = 3423942134258789294249487649670114206

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUabdeghjkn4K8K12K16K20KSE +/- 14.44, N = 384598429849315787188771894513319130498428

Timed Gem5 Compilation

This test times how long it takes to compile Gem5. Gem5 is a simulator for computer system architecture research. Gem5 is widely used for computer architecture research within the industry, academia, and more. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To Compileeghjklmn50100150200250197.55206.08216.88195.49197.95168.58162.39165.81

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 8MBlmn3K6K9K12K15K14338.214241.214082.41. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 16MBlmn4K8K12K16K20K16680.216762.616392.91. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 32MBlmn3K6K9K12K15K16111.416050.915827.91. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 64MBlmn3K6K9K12K15K12239.312161.812008.01. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 8MBlmn3K6K9K12K15K12794.512855.312742.31. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 128MBlmn2K4K6K8K10K8707.48640.08564.31. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 256MBlmn120024003600480060005519.35580.35520.61. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 8MBlmn3K6K9K12K15K14873.214846.514815.41. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 16MBlmn3K6K9K12K15K15231.915269.215041.61. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 32MBlmn3K6K9K12K15K14712.614746.714569.91. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 64MBlmn2K4K6K8K10K11321.911315.011238.11. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 16MBlmn4K8K12K16K20K16895.016810.416633.41. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 32MBlmn3K6K9K12K15K15811.915827.915691.01. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 64MBlmn3K6K9K12K15K11927.711905.511839.71. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 128MBlmn2K4K6K8K10K8089.48059.27960.21. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 256MBlmn120024003600480060005409.45333.45324.31. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 128MBlmn2K4K6K8K10K8697.68864.58289.61. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 256MBlmn120024003600480060005615.45389.35455.41. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

DuckDB

DuckDB is an in-progress SQL OLAP database management system optimized for analytics and features a vectorized and parallel engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: IMDBad60120180240300SE +/- 1.33, N = 3SE +/- 3.23, N = 4259.42259.281. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl

Benchmark: IMDB

b: The test run did not produce a result.

e: The test run did not produce a result.

g: The test run did not produce a result.

h: The test run did not produce a result.

j: The test run did not produce a result.

k: The test run did not produce a result.

n: The test run did not produce a result.

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: TPC-H Parquetad4080120160200SE +/- 1.27, N = 3SE +/- 2.06, N = 3178.04178.831. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl

Benchmark: TPC-H Parquet

b: The test run did not produce a result.

e: The test run did not produce a result.

g: The test run did not produce a result.

h: The test run did not produce a result.

j: The test run did not produce a result.

k: The test run did not produce a result.

n: The test run did not produce a result.

159 Results Shown

HeFFTe - Highly Efficient FFT for Exascale
CloverLeaf
HeFFTe - Highly Efficient FFT for Exascale
CloverLeaf
HeFFTe - Highly Efficient FFT for Exascale:
  c2c - Stock - double-long - 512
  c2c - Stock - float-long - 256
  r2c - FFTW - double-long - 512
  r2c - FFTW - float-long - 128
  c2c - FFTW - double-long - 256
  c2c - FFTW - double - 128
  c2c - FFTW - double - 256
  r2c - FFTW - float - 256
  r2c - FFTW - float - 512
  r2c - FFTW - float - 128
  c2c - FFTW - float - 512
  c2c - FFTW - float - 256
  r2c - Stock - double-long - 1024
  c2c - FFTW - double - 512
  c2c - FFTW - float-long - 256
  c2c - FFTW - float - 1024
  r2c - FFTW - float-long - 512
  c2c - Stock - float - 128
  c2c - FFTW - float-long - 1024
  c2c - Stock - float - 256
  r2c - FFTW - double-long - 128
  c2c - Stock - float - 512
  r2c - Stock - float-long - 128
  r2c - FFTW - double - 128
  c2c - Stock - double-long - 128
  r2c - FFTW - double - 256
  r2c - FFTW - double-long - 1024
  r2c - FFTW - double - 512
  r2c - Stock - float-long - 1024
  r2c - FFTW - float - 1024
  c2c - FFTW - float-long - 128
  r2c - Stock - float - 128
  c2c - FFTW - float-long - 512
  r2c - Stock - float - 256
  r2c - FFTW - float-long - 256
  r2c - Stock - float - 512
  c2c - FFTW - double-long - 128
  c2c - FFTW - double - 1024
  c2c - FFTW - double-long - 512
  c2c - Stock - double - 128
  c2c - Stock - float-long - 128
  c2c - Stock - double - 256
  c2c - Stock - float-long - 512
  c2c - Stock - double - 512
  r2c - FFTW - double-long - 256
  c2c - Stock - float - 1024
  r2c - FFTW - float-long - 1024
  r2c - FFTW - double - 1024
  r2c - Stock - float-long - 256
  r2c - Stock - double - 128
  c2c - FFTW - float - 128
  r2c - Stock - double - 256
  c2c - Stock - double-long - 256
  r2c - Stock - double - 512
  c2c - Stock - float-long - 1024
  r2c - Stock - float - 1024
  r2c - Stock - double-long - 128
  c2c - Stock - double - 1024
  r2c - Stock - double-long - 512
  r2c - Stock - double - 1024
  c2c - Stock - double-long - 1024
  c2c - FFTW - double-long - 1024
CloverLeaf
OpenVINO:
  Face Detection FP16 - CPU:
    FPS
    ms
  Face Detection FP16-INT8 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    FPS
    ms
  Person Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP32 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16 - CPU:
    FPS
    ms
  Vehicle Detection FP16-INT8 - CPU:
    FPS
    ms
  Vehicle Detection FP16 - CPU:
    FPS
    ms
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
  Face Detection Retail FP16 - CPU:
    FPS
    ms
  Face Detection Retail FP16-INT8 - CPU:
    FPS
    ms
  Handwritten English Recognition FP16 - CPU:
    FPS
    ms
  Handwritten English Recognition FP16-INT8 - CPU:
    FPS
    ms
  Road Segmentation ADAS FP16 - CPU:
    FPS
    ms
  Road Segmentation ADAS FP16-INT8 - CPU:
    FPS
    ms
QMCPACK:
  H4_ae
  Li2_STO_ae
  LiH_ae_MSD
  simple-H2O
  O_ae_pyscf_UHF
  FeCO6_b3lyp_gms
Cpuminer-Opt:
  Magi
  scrypt
  Deepcoin
  Ringcoin
  Blake-2 S
  Garlicoin
  Skeincoin
  Myriad-Groestl
  LBC, LBRY Credits
  Quad SHA-256, Pyrite
  Triple SHA-256, Onecoin
OSPRay Studio:
  1 - 4K - 1 - Path Tracer - CPU
  2 - 4K - 1 - Path Tracer - CPU
  3 - 4K - 1 - Path Tracer - CPU
  1 - 4K - 16 - Path Tracer - CPU
  1 - 4K - 32 - Path Tracer - CPU
  2 - 4K - 16 - Path Tracer - CPU
  2 - 4K - 32 - Path Tracer - CPU
  3 - 4K - 16 - Path Tracer - CPU
  3 - 4K - 32 - Path Tracer - CPU
  1 - 1080p - 1 - Path Tracer - CPU
  2 - 1080p - 1 - Path Tracer - CPU
  3 - 1080p - 1 - Path Tracer - CPU
  1 - 1080p - 16 - Path Tracer - CPU
  1 - 1080p - 32 - Path Tracer - CPU
  2 - 1080p - 16 - Path Tracer - CPU
  2 - 1080p - 32 - Path Tracer - CPU
  3 - 1080p - 16 - Path Tracer - CPU
  3 - 1080p - 32 - Path Tracer - CPU
Timed Gem5 Compilation
C-Blosc:
  blosclz shuffle - 8MB
  blosclz shuffle - 16MB
  blosclz shuffle - 32MB
  blosclz shuffle - 64MB
  blosclz noshuffle - 8MB
  blosclz shuffle - 128MB
  blosclz shuffle - 256MB
  blosclz bitshuffle - 8MB
  blosclz noshuffle - 16MB
  blosclz noshuffle - 32MB
  blosclz noshuffle - 64MB
  blosclz bitshuffle - 16MB
  blosclz bitshuffle - 32MB
  blosclz bitshuffle - 64MB
  blosclz noshuffle - 128MB
  blosclz noshuffle - 256MB
  blosclz bitshuffle - 128MB
  blosclz bitshuffle - 256MB
DuckDB:
  IMDB
  TPC-H Parquet