Intel Xeon Max Linux Kernels

Benchmarks by Michael Larabel for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2310079-NE-XEONMAXLI86
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v6.4
October 04 2023
  1 Day, 5 Hours, 15 Minutes
v6.5
October 05 2023
  1 Day, 6 Hours, 15 Minutes
v6.6 6 Oct
October 06 2023
  1 Day, 4 Hours, 3 Minutes
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  1 Day, 5 Hours, 11 Minutes

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Intel Xeon Max Linux KernelsProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerCompilerFile-SystemScreen Resolutionv6.4v6.5v6.6 6 Oct2 x Intel Xeon Max 9480 @ 3.50GHz (112 Cores / 224 Threads)Supermicro X13DEM v1.10 (1.3 BIOS)Intel Device 1bce512GB2 x 7682GB INTEL SSDPF2KX076TZASPEEDVE2282 x Broadcom BCM57508 NetXtreme-E 10Gb/25Gb/40Gb/50Gb/100Gb/200GbUbuntu 23.046.4.0-060400-generic (x86_64)GNOME Shell 44.0X Server 1.21.1.7GCC 12.2.0ext41920x10806.5.0-060500-generic (x86_64)1024x7686.6.0-060600rc4daily20231006-generic (x86_64)1920x1200OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-Pa930Z/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-Pa930Z/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: intel_cpufreq performance - CPU Microcode: 0x2c0001d1Java Details- OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-1ubuntu2)Python Details- Python 3.11.2Security Details- v6.4: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected - v6.5: 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 - v6.6 6 Oct: 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

v6.4v6.5v6.6 6 OctResult OverviewPhoronix Test Suite100%103%106%109%112%SVT-AV1Redis 7.0.12 + memtier_benchmarkOpenVINOApache HadoopBlenderHigh Performance Conjugate GradientAOM AV17-Zip CompressionnekRSVVenCOpenRadiossNAS Parallel BenchmarksPostgreSQLTimed LLVM CompilationTimed Linux Kernel CompilationOpenFOAMStress-NGTensorFlowlibavif avifencApache IoTDBRodiniaCrypto++

Intel Xeon Max Linux Kernelscryptopp: Keyed Algorithmscryptopp: Unkeyed Algorithmsstress-ng: Hashstress-ng: MMAPstress-ng: NUMAstress-ng: Pipestress-ng: Zlibstress-ng: Mutexstress-ng: Mallocstress-ng: Pthreadstress-ng: AVL Treestress-ng: IO_uringstress-ng: CPU Cachestress-ng: CPU Stressstress-ng: Semaphoresstress-ng: Matrix Mathstress-ng: Vector Mathstress-ng: AVX-512 VNNIstress-ng: Function Callstress-ng: x86_64 RdRandstress-ng: Floating Pointstress-ng: Matrix 3D Mathstress-ng: Memory Copyingstress-ng: Vector Shufflestress-ng: Wide Vector Mathstress-ng: Fused Multiply-Addstress-ng: Vector Floating Pointstress-ng: Glibc C String Functionsstress-ng: Glibc Qsort Data Sortingstress-ng: System V Message Passingnekrs: Kershawnekrs: TurboPipe Periodicopenradioss: Bumper Beamopenradioss: Chrysler Neon 1Mopenradioss: Cell Phone Drop Testopenradioss: Bird Strike on Windshieldopenradioss: Rubber O-Ring Seal Installationopenradioss: INIVOL and Fluid Structure Interaction Drop Containertensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 32 - ResNet-50tensorflow: CPU - 64 - ResNet-50tensorflow: CPU - 256 - ResNet-50hpcg: 104 104 104 - 60hpcg: 144 144 144 - 60npb: BT.Cnpb: CG.Cnpb: EP.Cnpb: FT.Cnpb: LU.Cnpb: MG.Cnpb: SP.Bnpb: SP.Crodinia: OpenMP LavaMDrodinia: OpenMP HotSpot3Drodinia: OpenMP Leukocyterodinia: OpenMP CFD Solverrodinia: OpenMP Streamclusteropenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timecompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingbuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigaom-av1: Speed 0 Two-Pass - Bosphorus 4Kaom-av1: Speed 4 Two-Pass - Bosphorus 4Kaom-av1: Speed 6 Realtime - Bosphorus 4Kaom-av1: Speed 6 Two-Pass - Bosphorus 4Kaom-av1: Speed 8 Realtime - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 4Kaom-av1: Speed 10 Realtime - Bosphorus 4Kaom-av1: Speed 11 Realtime - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080pblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyvvenc: Bosphorus 4K - Fastvvenc: Bosphorus 4K - Fastervvenc: Bosphorus 1080p - Fastvvenc: Bosphorus 1080p - Fasteravifenc: 0avifenc: 2avifenc: 6avifenc: 6, Losslessavifenc: 10, Losslesshadoop: Open - 50 - 100000hadoop: Open - 100 - 100000hadoop: Open - 500 - 100000hadoop: Delete - 50 - 100000hadoop: Open - 1000 - 100000hadoop: Create - 50 - 1000000apache-iotdb: 100 - 100 - 500 - 100apache-iotdb: 100 - 100 - 800 - 100apache-iotdb: 100 - 100 - 800 - 100apache-iotdb: 200 - 100 - 200 - 100apache-iotdb: 200 - 100 - 200 - 100apache-iotdb: 200 - 100 - 500 - 100apache-iotdb: 200 - 100 - 500 - 100apache-iotdb: 200 - 100 - 800 - 100apache-iotdb: 200 - 100 - 800 - 100apache-iotdb: 500 - 100 - 200 - 100apache-iotdb: 500 - 100 - 200 - 100apache-iotdb: 500 - 100 - 200 - 400apache-iotdb: 500 - 100 - 200 - 400apache-iotdb: 500 - 100 - 500 - 100apache-iotdb: 500 - 100 - 500 - 100apache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 800 - 100apache-iotdb: 500 - 100 - 800 - 100apache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 800 - 100 - 200 - 100apache-iotdb: 800 - 100 - 200 - 100apache-iotdb: 800 - 100 - 200 - 400apache-iotdb: 800 - 100 - 200 - 400apache-iotdb: 800 - 100 - 500 - 100apache-iotdb: 800 - 100 - 500 - 100apache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 800 - 100 - 800 - 100apache-iotdb: 800 - 100 - 800 - 100apache-iotdb: 100 - 100 - 500 - 100memtier-benchmark: Redis - 50 - 1:5memtier-benchmark: Redis - 100 - 1:10pgbench: 100 - 1000 - Read Onlypgbench: 100 - 1000 - Read Only - Average Latencypgbench: 100 - 800 - Read Writepgbench: 100 - 800 - Read Write - Average Latencypgbench: 1000 - 800 - Read Onlypgbench: 1000 - 800 - Read Only - Average Latencypgbench: 100 - 1000 - Read Writepgbench: 100 - 1000 - Read Write - Average Latencypgbench: 1000 - 1000 - Read Onlypgbench: 1000 - 1000 - Read Only - Average Latencypgbench: 1000 - 800 - Read Writepgbench: 1000 - 800 - Read Write - Average Latencypgbench: 1000 - 1000 - Read Writepgbench: 1000 - 1000 - Read Write - Average Latencyv6.4v6.5v6.6 6 Oct604.541642441.19698917389901.327996.78514.0931203885.988220.8323140484.14217211109.0336288.24790.232619140.96938764.06200494.80177471711.51396715.18381412.8211752668.1863249.99637179.5231253.9328901.0225816.50551599.325961543.12253366692.27244931.4181547074.591875.8318811154.405865983333409895333395.17128.5032.37159.21116.35138.9736.8545.2053.0465.22104.67776.5785322119.9951894.8510844.90103248.13269542.21239408.11176009.15193221.9535.24380.64434.1738.71342.605125.69293.6474.0577.97475.6677.702572.6314.35331.20337.2211342.549.851112.4633.215018.0322.2816690.366.6016182.556.891503.5474.40667.6455.3125464.624.236316.4417.703597.6531.1074954.030.572452.1445.63112475.340.3439.35959437.840712175.9258195.88764283556400370187.322275.08537.316288.4120.397.0741.5114.3041.6747.5444.2349.094.132133.926145.91511.589426.842518.76921.4853.1440.12315.0274.885.0758.45016.33628.27070.73539.3713.7286.8925.07529415026903426565260316274610372543018998539122053155.222458294170.774303689897.1652514008125.954167526542.6840520901163.365937695677.0058096600265.9967045377111.7566098942370.825124829935.3150423542140.406628790669.8865784478277.4072605513104.932331936.552262895.866402351.5704558117.5567012131.1414294723.2967100791.4112041639.2451988450.358604.262966440.62284616889506.128195.87575.3738337996.378330.2225266270.16219735444.0538759.74794.302557131.35827481.85198750.35154525821.93349646.89359634.3511016794.4161230.89648063.9129342.6732314.9325493.26549410.105808342.74243730838.96240694.1677642781.171916.2019106643.995809220000410149000096.05130.4333.81159.91119.47141.8538.2246.4151.4265.91102.19473.7327306002.2052032.1010479.79112362.39268492.02234268.14178582.58190905.8235.28280.78231.4868.88645.672159.00232.33553.1566.83551.6667.012896.6112.74327.68341.0611013.2910.151155.6431.985018.0722.2517909.286.2116152.106.891498.5674.65639.0857.8429736.313.706234.8317.933572.8931.3294168.280.562445.5445.76111886.460.3438.49455736.766298174.04396197.9492279135386731192.791274.64938.190289.5450.397.7242.4214.0942.3845.1451.6045.454.016114.318112.25811.102406.640459.29221.9654.0141.62336.4273.875.1758.50016.28228.71770.88138.6353.6816.7665.05826981026296925464056625238253376173063290538539849156.062482527269.654214767199.7152519898127.674215036842.1942201696152.955967987876.5459552847266.7467023750111.1467394323368.155118839834.4951104786139.826655890670.0966078835273.9270592527108.51127.922128295.602068343.107008361.4544376518.2827291841.0984234023.6397144841.4032136737.4511970950.785604.369921440.91040718109792.858382.54474.3927024816.268374.5827388113.63222268148.7635491.62816.163424829.35709241.85203979.83180684828.43370932.98384963.6411946993.7065566.39642917.3031541.6630007.3325800.06562355.246205140.99261241623.38248017.7883443787.581931.8317488847.835817096667427280333395.08129.7933.34161.95116.46138.7838.0146.6351.4065.97101.73874.2654312977.3053274.7910840.56114793.58273013.53239660.40180233.00191378.8235.06283.82832.1788.16447.370159.56231.45564.9165.43565.0265.422911.4412.67327.61341.1911190.469.981159.2031.885053.2522.1018105.636.1616160.296.881508.7774.13652.7756.6029779.383.676265.8617.833587.6731.1993693.640.532457.5745.53117557.360.3337.3535337.023041175.38684206.42715273731401589191.766275.54537.808289.5070.377.1345.2712.3841.9546.0847.1848.214.120122.116116.73511.563431.133468.56821.1253.1140.42385.3575.585.0768.32616.40327.33169.59038.6703.7566.8445.06428310427252326729958051253036359352993125439142134156.102483900169.8441245153102.2152700021126.514256002641.7141638681153.496017985275.4756839448279.1566764218111.9266372800374.605070192535.6451764919134.576726360669.6565998468277.5073920159102.90132.612188365.952231964.356971031.4464450417.9837103891.1284196123.8606854221.4602051039.0361971450.791OpenBenchmarking.org

Crypto++

Crypto++ is a C++ class library of cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.8Test: Keyed Algorithmsv6.4v6.5v6.6 6 Oct130260390520650SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3604.54604.26604.371. (CXX) g++ options: -g2 -O3 -fPIC -fno-devirtualize -pthread -pipe

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.8Test: Unkeyed Algorithmsv6.4v6.5v6.6 6 Oct100200300400500SE +/- 0.02, N = 3SE +/- 0.14, N = 3SE +/- 0.16, N = 3441.20440.62440.911. (CXX) g++ options: -g2 -O3 -fPIC -fno-devirtualize -pthread -pipe

Stress-NG

Stress-NG is a Linux stress tool developed by Colin Ian King. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Hashv6.4v6.5v6.6 6 Oct4M8M12M16M20MSE +/- 343354.96, N = 15SE +/- 109703.46, N = 3SE +/- 232420.75, N = 317389901.3216889506.1218109792.851. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: MMAPv6.4v6.5v6.6 6 Oct2K4K6K8K10KSE +/- 47.78, N = 3SE +/- 60.98, N = 3SE +/- 76.34, N = 37996.788195.878382.541. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: NUMAv6.4v6.5v6.6 6 Oct120240360480600SE +/- 7.82, N = 15SE +/- 2.88, N = 3SE +/- 1.03, N = 3514.09575.37474.391. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Pipev6.4v6.5v6.6 6 Oct8M16M24M32M40MSE +/- 487787.75, N = 15SE +/- 1055793.62, N = 15SE +/- 581009.73, N = 1531203885.9838337996.3727024816.261. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Zlibv6.4v6.5v6.6 6 Oct2K4K6K8K10KSE +/- 22.76, N = 3SE +/- 29.13, N = 3SE +/- 11.00, N = 38220.838330.228374.581. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Mutexv6.4v6.5v6.6 6 Oct6M12M18M24M30MSE +/- 381162.66, N = 15SE +/- 376350.69, N = 15SE +/- 709062.89, N = 1523140484.1425266270.1627388113.631. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Mallocv6.4v6.5v6.6 6 Oct50M100M150M200M250MSE +/- 129847.43, N = 3SE +/- 655876.42, N = 3SE +/- 619909.09, N = 3217211109.03219735444.05222268148.761. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Pthreadv6.4v6.5v6.6 6 Oct8K16K24K32K40KSE +/- 43.26, N = 3SE +/- 820.44, N = 15SE +/- 106.91, N = 336288.2438759.7435491.621. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: AVL Treev6.4v6.5v6.6 6 Oct2004006008001000SE +/- 1.81, N = 3SE +/- 2.77, N = 3SE +/- 1.34, N = 3790.23794.30816.161. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: IO_uringv6.4v6.5v6.6 6 Oct700K1400K2100K2800K3500KSE +/- 33896.79, N = 15SE +/- 24671.90, N = 15SE +/- 44896.75, N = 32619140.962557131.353424829.351. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: CPU Cachev6.4v6.5v6.6 6 Oct200K400K600K800K1000KSE +/- 7749.59, N = 3SE +/- 4820.43, N = 3SE +/- 1835.02, N = 3938764.06827481.85709241.851. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: CPU Stressv6.4v6.5v6.6 6 Oct40K80K120K160K200KSE +/- 341.26, N = 3SE +/- 1870.15, N = 13SE +/- 692.17, N = 3200494.80198750.35203979.831. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Semaphoresv6.4v6.5v6.6 6 Oct40M80M120M160M200MSE +/- 1308655.40, N = 3SE +/- 1418717.66, N = 3SE +/- 1941141.12, N = 5177471711.51154525821.93180684828.431. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Matrix Mathv6.4v6.5v6.6 6 Oct80K160K240K320K400KSE +/- 15424.87, N = 12SE +/- 5325.22, N = 12SE +/- 6612.89, N = 15396715.18349646.89370932.981. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Vector Mathv6.4v6.5v6.6 6 Oct80K160K240K320K400KSE +/- 3943.55, N = 5SE +/- 3836.13, N = 3SE +/- 522.79, N = 3381412.82359634.35384963.641. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: AVX-512 VNNIv6.4v6.5v6.6 6 Oct3M6M9M12M15MSE +/- 48287.23, N = 3SE +/- 137441.83, N = 3SE +/- 45820.46, N = 311752668.1811016794.4111946993.701. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Function Callv6.4v6.5v6.6 6 Oct14K28K42K56K70KSE +/- 811.29, N = 15SE +/- 545.69, N = 15SE +/- 112.81, N = 363249.9961230.8965566.391. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: x86_64 RdRandv6.4v6.5v6.6 6 Oct140K280K420K560K700KSE +/- 674.33, N = 3SE +/- 196.88, N = 3SE +/- 280.73, N = 3637179.52648063.91642917.301. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Floating Pointv6.4v6.5v6.6 6 Oct7K14K21K28K35KSE +/- 348.48, N = 15SE +/- 305.43, N = 3SE +/- 238.47, N = 1031253.9329342.6731541.661. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Matrix 3D Mathv6.4v6.5v6.6 6 Oct7K14K21K28K35KSE +/- 329.39, N = 3SE +/- 2392.89, N = 14SE +/- 48.00, N = 328901.0232314.9330007.331. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Memory Copyingv6.4v6.5v6.6 6 Oct6K12K18K24K30KSE +/- 629.40, N = 15SE +/- 228.57, N = 3SE +/- 224.34, N = 725816.5025493.2625800.061. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Vector Shufflev6.4v6.5v6.6 6 Oct120K240K360K480K600KSE +/- 1079.72, N = 3SE +/- 652.21, N = 3SE +/- 838.85, N = 3551599.32549410.10562355.241. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Wide Vector Mathv6.4v6.5v6.6 6 Oct1.3M2.6M3.9M5.2M6.5MSE +/- 72348.80, N = 3SE +/- 142745.75, N = 12SE +/- 3935.20, N = 35961543.125808342.746205140.991. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Fused Multiply-Addv6.4v6.5v6.6 6 Oct60M120M180M240M300MSE +/- 2984105.55, N = 15SE +/- 3180404.53, N = 3SE +/- 480576.96, N = 3253366692.27243730838.96261241623.381. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Vector Floating Pointv6.4v6.5v6.6 6 Oct50K100K150K200K250KSE +/- 620.60, N = 3SE +/- 1308.77, N = 3SE +/- 1538.11, N = 3244931.41240694.16248017.781. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Glibc C String Functionsv6.4v6.5v6.6 6 Oct20M40M60M80M100MSE +/- 906580.48, N = 15SE +/- 1000931.10, N = 15SE +/- 772766.53, N = 1581547074.5977642781.1783443787.581. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Glibc Qsort Data Sortingv6.4v6.5v6.6 6 Oct400800120016002000SE +/- 0.72, N = 3SE +/- 3.46, N = 3SE +/- 5.70, N = 31875.831916.201931.831. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: System V Message Passingv6.4v6.5v6.6 6 Oct4M8M12M16M20MSE +/- 54732.60, N = 3SE +/- 57359.04, N = 3SE +/- 6699.83, N = 318811154.4019106643.9917488847.831. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

nekRS

nekRS is an open-source Navier Stokes solver based on the spectral element method. NekRS supports both CPU and GPU/accelerator support though this test profile is currently configured for CPU execution. NekRS is part of Nek5000 of the Mathematics and Computer Science MCS at Argonne National Laboratory. This nekRS benchmark is primarily relevant to large core count HPC servers and otherwise may be very time consuming on smaller systems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: Kershawv6.4v6.5v6.6 6 Oct1300M2600M3900M5200M6500MSE +/- 38898803.89, N = 3SE +/- 56766399.45, N = 6SE +/- 77700626.41, N = 35865983333580922000058170966671. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi

OpenBenchmarking.orgflops/rank, More Is BetternekRS 23.0Input: TurboPipe Periodicv6.4v6.5v6.6 6 Oct900M1800M2700M3600M4500MSE +/- 40424400.36, N = 3SE +/- 30449494.25, N = 3SE +/- 4200842.51, N = 34098953333410149000042728033331. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -rdynamic -lmpi_cxx -lmpi

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bumper Beamv6.4v6.5v6.6 6 Oct20406080100SE +/- 0.64, N = 3SE +/- 0.23, N = 3SE +/- 0.37, N = 395.1796.0595.08

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1Mv6.4v6.5v6.6 6 Oct306090120150SE +/- 0.01, N = 3SE +/- 1.07, N = 3SE +/- 0.37, N = 3128.50130.43129.79

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Cell Phone Drop Testv6.4v6.5v6.6 6 Oct816243240SE +/- 0.01, N = 3SE +/- 0.17, N = 3SE +/- 0.25, N = 332.3733.8133.34

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bird Strike on Windshieldv6.4v6.5v6.6 6 Oct4080120160200SE +/- 0.82, N = 3SE +/- 0.28, N = 3SE +/- 0.50, N = 3159.21159.91161.95

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Rubber O-Ring Seal Installationv6.4v6.5v6.6 6 Oct306090120150SE +/- 0.71, N = 3SE +/- 0.71, N = 3SE +/- 0.19, N = 3116.35119.47116.46

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: INIVOL and Fluid Structure Interaction Drop Containerv6.4v6.5v6.6 6 Oct306090120150SE +/- 0.42, N = 3SE +/- 0.29, N = 3SE +/- 0.74, N = 3138.97141.85138.78

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50v6.4v6.5v6.6 6 Oct918273645SE +/- 0.35, N = 3SE +/- 0.31, N = 9SE +/- 0.38, N = 1536.8538.2238.01

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: ResNet-50v6.4v6.5v6.6 6 Oct1122334455SE +/- 0.54, N = 3SE +/- 0.58, N = 12SE +/- 0.66, N = 345.2046.4146.63

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50v6.4v6.5v6.6 6 Oct1224364860SE +/- 0.72, N = 3SE +/- 0.49, N = 12SE +/- 0.57, N = 353.0451.4251.40

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: ResNet-50v6.4v6.5v6.6 6 Oct1530456075SE +/- 0.29, N = 3SE +/- 0.76, N = 3SE +/- 0.66, N = 965.2265.9165.97

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1X Y Z: 104 104 104 - RT: 60v6.4v6.5v6.6 6 Oct20406080100SE +/- 0.65, N = 3SE +/- 0.94, N = 3SE +/- 0.92, N = 3104.68102.19101.741. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1X Y Z: 144 144 144 - RT: 60v6.4v6.5v6.6 6 Oct20406080100SE +/- 0.76, N = 6SE +/- 0.98, N = 9SE +/- 0.42, N = 376.5873.7374.271. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.Cv6.4v6.5v6.6 6 Oct70K140K210K280K350KSE +/- 2411.99, N = 11SE +/- 3511.64, N = 3SE +/- 958.09, N = 3322119.99306002.20312977.301. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.4

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.Cv6.4v6.5v6.6 6 Oct11K22K33K44K55KSE +/- 525.17, N = 6SE +/- 486.03, N = 15SE +/- 305.31, N = 351894.8552032.1053274.791. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.4

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.Cv6.4v6.5v6.6 6 Oct2K4K6K8K10KSE +/- 222.04, N = 12SE +/- 266.91, N = 15SE +/- 228.39, N = 1210844.9010479.7910840.561. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.4

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.Cv6.4v6.5v6.6 6 Oct20K40K60K80K100KSE +/- 1023.16, N = 15SE +/- 2189.90, N = 15SE +/- 2154.10, N = 12103248.13112362.39114793.581. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.4

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.Cv6.4v6.5v6.6 6 Oct60K120K180K240K300KSE +/- 2141.41, N = 3SE +/- 3576.66, N = 3SE +/- 946.75, N = 3269542.21268492.02273013.531. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.4

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.Cv6.4v6.5v6.6 6 Oct50K100K150K200K250KSE +/- 2713.74, N = 15SE +/- 2603.01, N = 3SE +/- 2417.02, N = 15239408.11234268.14239660.401. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.4

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.Bv6.4v6.5v6.6 6 Oct40K80K120K160K200KSE +/- 1564.28, N = 13SE +/- 1289.87, N = 15SE +/- 1609.35, N = 15176009.15178582.58180233.001. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.4

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.Cv6.4v6.5v6.6 6 Oct40K80K120K160K200KSE +/- 1944.01, N = 5SE +/- 2009.88, N = 3SE +/- 2038.85, N = 3193221.95190905.82191378.821. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.4

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDv6.4v6.5v6.6 6 Oct816243240SE +/- 0.23, N = 3SE +/- 0.14, N = 3SE +/- 0.14, N = 335.2435.2835.061. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3Dv6.4v6.5v6.6 6 Oct20406080100SE +/- 0.21, N = 3SE +/- 0.17, N = 3SE +/- 1.06, N = 1580.6480.7883.831. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Leukocytev6.4v6.5v6.6 6 Oct816243240SE +/- 0.52, N = 15SE +/- 0.08, N = 3SE +/- 0.40, N = 334.1731.4932.181. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD Solverv6.4v6.5v6.6 6 Oct246810SE +/- 0.058, N = 3SE +/- 0.093, N = 3SE +/- 0.076, N = 38.7138.8868.1641. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Streamclusterv6.4v6.5v6.6 6 Oct1122334455SE +/- 2.00, N = 15SE +/- 0.58, N = 3SE +/- 2.47, N = 1542.6145.6747.371. (CXX) g++ options: -O2 -lOpenCL

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUv6.4v6.5v6.6 6 Oct4080120160200SE +/- 0.59, N = 3SE +/- 0.26, N = 3SE +/- 0.46, N = 3125.69159.00159.561. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUv6.4v6.5v6.6 6 Oct60120180240300SE +/- 1.25, N = 3SE +/- 0.39, N = 3SE +/- 0.68, N = 3293.60232.33231.45MIN: 175.19 / MAX: 761.95MIN: 171.26 / MAX: 448.32MIN: 167.08 / MAX: 4291. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUv6.4v6.5v6.6 6 Oct120240360480600SE +/- 5.93, N = 3SE +/- 0.50, N = 3SE +/- 0.67, N = 3474.05553.15564.911. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUv6.4v6.5v6.6 6 Oct20406080100SE +/- 0.97, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 377.9766.8365.43MIN: 47.82 / MAX: 365.81MIN: 47.69 / MAX: 144.02MIN: 52.22 / MAX: 151.591. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP32 - Device: CPUv6.4v6.5v6.6 6 Oct120240360480600SE +/- 5.84, N = 3SE +/- 0.11, N = 3SE +/- 0.92, N = 3475.66551.66565.021. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP32 - Device: CPUv6.4v6.5v6.6 6 Oct20406080100SE +/- 0.95, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 377.7067.0165.42MIN: 49.99 / MAX: 537.56MIN: 47.99 / MAX: 141.48MIN: 51.27 / MAX: 181.21. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16 - Device: CPUv6.4v6.5v6.6 6 Oct6001200180024003000SE +/- 24.17, N = 6SE +/- 8.62, N = 3SE +/- 0.78, N = 32572.632896.612911.441. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16 - Device: CPUv6.4v6.5v6.6 6 Oct48121620SE +/- 0.13, N = 6SE +/- 0.04, N = 3SE +/- 0.01, N = 314.3512.7412.67MIN: 9.07 / MAX: 112.91MIN: 8.82 / MAX: 56.2MIN: 8.91 / MAX: 252.771. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUv6.4v6.5v6.6 6 Oct70140210280350SE +/- 0.28, N = 3SE +/- 0.51, N = 3SE +/- 0.63, N = 3331.20327.68327.611. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUv6.4v6.5v6.6 6 Oct70140210280350SE +/- 0.31, N = 3SE +/- 0.56, N = 3SE +/- 0.67, N = 3337.22341.06341.19MIN: 252.67 / MAX: 470.11MIN: 238.2 / MAX: 437.74MIN: 242.27 / MAX: 401.591. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16 - Device: CPUv6.4v6.5v6.6 6 Oct2K4K6K8K10KSE +/- 16.48, N = 3SE +/- 10.14, N = 3SE +/- 21.17, N = 311342.5411013.2911190.461. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16 - Device: CPUv6.4v6.5v6.6 6 Oct3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 39.8510.159.98MIN: 7.51 / MAX: 55.05MIN: 7.22 / MAX: 47.29MIN: 7.7 / MAX: 41.051. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16 - Device: CPUv6.4v6.5v6.6 6 Oct2004006008001000SE +/- 13.29, N = 3SE +/- 1.10, N = 3SE +/- 1.66, N = 31112.461155.641159.201. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16 - Device: CPUv6.4v6.5v6.6 6 Oct816243240SE +/- 0.39, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 333.2131.9831.88MIN: 23.34 / MAX: 169.71MIN: 23.5 / MAX: 154.49MIN: 23.76 / MAX: 159.971. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUv6.4v6.5v6.6 6 Oct11002200330044005500SE +/- 20.34, N = 3SE +/- 3.85, N = 3SE +/- 8.34, N = 35018.035018.075053.251. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUv6.4v6.5v6.6 6 Oct510152025SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 322.2822.2522.10MIN: 14.79 / MAX: 71.65MIN: 15.09 / MAX: 75.35MIN: 16.11 / MAX: 811. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16 - Device: CPUv6.4v6.5v6.6 6 Oct4K8K12K16K20KSE +/- 240.02, N = 3SE +/- 92.46, N = 3SE +/- 116.21, N = 316690.3617909.2818105.631. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16 - Device: CPUv6.4v6.5v6.6 6 Oct246810SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 36.606.216.16MIN: 4.28 / MAX: 87.64MIN: 4.25 / MAX: 71.23MIN: 4.39 / MAX: 72.481. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUv6.4v6.5v6.6 6 Oct3K6K9K12K15KSE +/- 27.81, N = 3SE +/- 32.50, N = 3SE +/- 14.33, N = 316182.5516152.1016160.291. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUv6.4v6.5v6.6 6 Oct246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.896.896.88MIN: 5.52 / MAX: 36.52MIN: 5.7 / MAX: 43.92MIN: 5.82 / MAX: 40.081. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUv6.4v6.5v6.6 6 Oct30060090012001500SE +/- 2.60, N = 3SE +/- 3.25, N = 3SE +/- 2.05, N = 31503.541498.561508.771. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUv6.4v6.5v6.6 6 Oct20406080100SE +/- 0.13, N = 3SE +/- 0.16, N = 3SE +/- 0.11, N = 374.4074.6574.13MIN: 53.51 / MAX: 281.3MIN: 56.35 / MAX: 221.5MIN: 53.68 / MAX: 267.91. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUv6.4v6.5v6.6 6 Oct140280420560700SE +/- 5.12, N = 3SE +/- 7.36, N = 15SE +/- 6.10, N = 6667.64639.08652.771. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUv6.4v6.5v6.6 6 Oct1326395265SE +/- 0.43, N = 3SE +/- 0.65, N = 15SE +/- 0.54, N = 655.3157.8456.60MIN: 38.54 / MAX: 312.66MIN: 34.52 / MAX: 409.65MIN: 39.06 / MAX: 243.121. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUv6.4v6.5v6.6 6 Oct6K12K18K24K30KSE +/- 231.74, N = 15SE +/- 236.24, N = 3SE +/- 186.80, N = 325464.6229736.3129779.381. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUv6.4v6.5v6.6 6 Oct0.95181.90362.85543.80724.759SE +/- 0.03, N = 15SE +/- 0.03, N = 3SE +/- 0.03, N = 34.233.703.67MIN: 2.61 / MAX: 111.71MIN: 2.57 / MAX: 108.71MIN: 2.51 / MAX: 63.651. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUv6.4v6.5v6.6 6 Oct14002800420056007000SE +/- 8.07, N = 3SE +/- 8.34, N = 3SE +/- 6.56, N = 36316.446234.836265.861. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUv6.4v6.5v6.6 6 Oct48121620SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 317.7017.9317.83MIN: 12.28 / MAX: 42.46MIN: 12.49 / MAX: 40.07MIN: 12.43 / MAX: 36.821. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16 - Device: CPUv6.4v6.5v6.6 6 Oct8001600240032004000SE +/- 9.62, N = 3SE +/- 8.61, N = 3SE +/- 7.83, N = 33597.653572.893587.671. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16 - Device: CPUv6.4v6.5v6.6 6 Oct714212835SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 331.1031.3231.19MIN: 24.91 / MAX: 99.63MIN: 25.09 / MAX: 91.66MIN: 24.8 / MAX: 100.261. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUv6.4v6.5v6.6 6 Oct20K40K60K80K100KSE +/- 1782.53, N = 15SE +/- 544.05, N = 3SE +/- 537.27, N = 374954.0394168.2893693.641. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUv6.4v6.5v6.6 6 Oct0.12830.25660.38490.51320.6415SE +/- 0.01, N = 15SE +/- 0.01, N = 3SE +/- 0.02, N = 30.570.560.53MIN: 0.29 / MAX: 74.65MIN: 0.36 / MAX: 51.75MIN: 0.37 / MAX: 56.751. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUv6.4v6.5v6.6 6 Oct5001000150020002500SE +/- 5.85, N = 3SE +/- 2.61, N = 3SE +/- 3.57, N = 32452.142445.542457.571. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUv6.4v6.5v6.6 6 Oct1020304050SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 345.6345.7645.53MIN: 38.64 / MAX: 91.4MIN: 38.33 / MAX: 110.96MIN: 40.67 / MAX: 112.31. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUv6.4v6.5v6.6 6 Oct30K60K90K120K150KSE +/- 1041.05, N = 15SE +/- 1061.43, N = 15SE +/- 837.50, N = 15112475.34111886.46117557.361. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUv6.4v6.5v6.6 6 Oct0.07650.1530.22950.3060.3825SE +/- 0.00, N = 15SE +/- 0.00, N = 15SE +/- 0.00, N = 150.340.340.33MIN: 0.25 / MAX: 36.53MIN: 0.24 / MAX: 33.93MIN: 0.24 / MAX: 31.451. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh Timev6.4v6.5v6.6 6 Oct91827364539.3638.4937.351. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution Timev6.4v6.5v6.6 6 Oct91827364537.8436.7737.021. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh Timev6.4v6.5v6.6 6 Oct4080120160200175.93174.04175.391. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution Timev6.4v6.5v6.6 6 Oct50100150200250195.89197.95206.431. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression Ratingv6.4v6.5v6.6 6 Oct60K120K180K240K300KSE +/- 2800.68, N = 3SE +/- 1889.96, N = 3SE +/- 2866.87, N = 32835562791352737311. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression Ratingv6.4v6.5v6.6 6 Oct90K180K270K360K450KSE +/- 822.46, N = 3SE +/- 3147.07, N = 3SE +/- 4588.21, N = 34003703867314015891. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Timed LLVM Compilation

This test times how long it takes to compile/build the LLVM compiler stack. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Ninjav6.4v6.5v6.6 6 Oct4080120160200SE +/- 3.13, N = 12SE +/- 1.10, N = 3SE +/- 1.03, N = 3187.32192.79191.77

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix Makefilesv6.4v6.5v6.6 6 Oct60120180240300SE +/- 2.50, N = 3SE +/- 3.67, N = 3SE +/- 2.96, N = 9275.09274.65275.55

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigv6.4v6.5v6.6 6 Oct918273645SE +/- 0.29, N = 10SE +/- 0.37, N = 6SE +/- 0.47, N = 437.3238.1937.81

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigv6.4v6.5v6.6 6 Oct60120180240300SE +/- 1.69, N = 3SE +/- 0.37, N = 3SE +/- 0.32, N = 3288.41289.55289.51

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.7Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4Kv6.4v6.5v6.6 6 Oct0.08780.17560.26340.35120.439SE +/- 0.00, N = 15SE +/- 0.00, N = 15SE +/- 0.01, N = 150.390.390.371. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.7Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4Kv6.4v6.5v6.6 6 Oct246810SE +/- 0.10, N = 15SE +/- 0.24, N = 12SE +/- 0.16, N = 157.077.727.131. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.7Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4Kv6.4v6.5v6.6 6 Oct1020304050SE +/- 0.79, N = 15SE +/- 1.36, N = 12SE +/- 2.39, N = 1241.5142.4245.271. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.7Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4Kv6.4v6.5v6.6 6 Oct48121620SE +/- 0.38, N = 15SE +/- 0.42, N = 15SE +/- 0.56, N = 1514.3014.0912.381. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.7Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4Kv6.4v6.5v6.6 6 Oct1020304050SE +/- 1.53, N = 15SE +/- 1.26, N = 12SE +/- 1.29, N = 1241.6742.3841.951. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.7Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4Kv6.4v6.5v6.6 6 Oct1122334455SE +/- 1.51, N = 15SE +/- 0.88, N = 15SE +/- 1.27, N = 1547.5445.1446.081. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.7Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4Kv6.4v6.5v6.6 6 Oct1224364860SE +/- 1.50, N = 12SE +/- 2.34, N = 15SE +/- 1.97, N = 1544.2351.6047.181. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.7Encoder Mode: Speed 11 Realtime - Input: Bosphorus 4Kv6.4v6.5v6.6 6 Oct1122334455SE +/- 1.22, N = 15SE +/- 1.08, N = 15SE +/- 2.00, N = 1249.0945.4548.211. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.7Encoder Mode: Preset 4 - Input: Bosphorus 4Kv6.4v6.5v6.6 6 Oct0.92971.85942.78913.71884.6485SE +/- 0.031, N = 15SE +/- 0.040, N = 6SE +/- 0.030, N = 114.1324.0164.1201. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.7Encoder Mode: Preset 12 - Input: Bosphorus 4Kv6.4v6.5v6.6 6 Oct306090120150SE +/- 8.17, N = 15SE +/- 4.93, N = 15SE +/- 6.81, N = 15133.93114.32122.121. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.7Encoder Mode: Preset 13 - Input: Bosphorus 4Kv6.4v6.5v6.6 6 Oct306090120150SE +/- 9.48, N = 12SE +/- 5.99, N = 15SE +/- 1.29, N = 3145.92112.26116.741. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.7Encoder Mode: Preset 4 - Input: Bosphorus 1080pv6.4v6.5v6.6 6 Oct3691215SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 311.5911.1011.561. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.7Encoder Mode: Preset 12 - Input: Bosphorus 1080pv6.4v6.5v6.6 6 Oct90180270360450SE +/- 29.20, N = 15SE +/- 28.60, N = 15SE +/- 23.45, N = 15426.84406.64431.131. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.7Encoder Mode: Preset 13 - Input: Bosphorus 1080pv6.4v6.5v6.6 6 Oct110220330440550SE +/- 28.12, N = 15SE +/- 27.06, N = 15SE +/- 29.52, N = 15518.77459.29468.571. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: BMW27 - Compute: CPU-Onlyv6.4v6.5v6.6 6 Oct510152025SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.16, N = 321.4821.9621.12

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Classroom - Compute: CPU-Onlyv6.4v6.5v6.6 6 Oct1224364860SE +/- 0.28, N = 3SE +/- 0.26, N = 3SE +/- 0.24, N = 353.1454.0153.11

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Fishy Cat - Compute: CPU-Onlyv6.4v6.5v6.6 6 Oct918273645SE +/- 0.15, N = 3SE +/- 0.41, N = 15SE +/- 0.10, N = 340.1241.6240.42

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Barbershop - Compute: CPU-Onlyv6.4v6.5v6.6 6 Oct80160240320400SE +/- 4.74, N = 9SE +/- 14.36, N = 9SE +/- 11.89, N = 9315.02336.42385.35

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Pabellon Barcelona - Compute: CPU-Onlyv6.4v6.5v6.6 6 Oct20406080100SE +/- 0.36, N = 3SE +/- 0.56, N = 3SE +/- 0.83, N = 474.8873.8775.58

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: Fastv6.4v6.5v6.6 6 Oct1.16442.32883.49324.65765.822SE +/- 0.058, N = 3SE +/- 0.066, N = 3SE +/- 0.064, N = 125.0755.1755.0761. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: Fasterv6.4v6.5v6.6 6 Oct246810SE +/- 0.097, N = 15SE +/- 0.137, N = 15SE +/- 0.103, N = 158.4508.5008.3261. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 1080p - Video Preset: Fastv6.4v6.5v6.6 6 Oct48121620SE +/- 0.19, N = 3SE +/- 0.19, N = 3SE +/- 0.04, N = 316.3416.2816.401. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 1080p - Video Preset: Fasterv6.4v6.5v6.6 6 Oct714212835SE +/- 0.34, N = 4SE +/- 0.08, N = 3SE +/- 0.48, N = 1228.2728.7227.331. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 0v6.4v6.5v6.6 6 Oct1632486480SE +/- 0.04, N = 3SE +/- 0.81, N = 3SE +/- 0.55, N = 370.7470.8869.591. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 2v6.4v6.5v6.6 6 Oct918273645SE +/- 0.32, N = 3SE +/- 0.53, N = 3SE +/- 0.17, N = 339.3738.6438.671. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6v6.4v6.5v6.6 6 Oct0.84511.69022.53533.38044.2255SE +/- 0.005, N = 3SE +/- 0.024, N = 15SE +/- 0.040, N = 43.7283.6813.7561. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6, Losslessv6.4v6.5v6.6 6 Oct246810SE +/- 0.054, N = 3SE +/- 0.032, N = 3SE +/- 0.016, N = 36.8926.7666.8441. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 10, Losslessv6.4v6.5v6.6 6 Oct1.14192.28383.42574.56765.7095SE +/- 0.005, N = 3SE +/- 0.009, N = 3SE +/- 0.029, N = 35.0755.0585.0641. (CXX) g++ options: -O3 -fPIC -lm

Apache Hadoop

This is a benchmark of the Apache Hadoop making use of its built-in name-node throughput benchmark (NNThroughputBenchmark). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Open - Threads: 50 - Files: 100000v6.4v6.5v6.6 6 Oct60K120K180K240K300KSE +/- 9603.74, N = 15SE +/- 8309.89, N = 15SE +/- 11689.78, N = 15294150269810283104

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Open - Threads: 100 - Files: 100000v6.4v6.5v6.6 6 Oct60K120K180K240K300KSE +/- 6349.18, N = 12SE +/- 14950.62, N = 12SE +/- 7173.98, N = 15269034262969272523

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Open - Threads: 500 - Files: 100000v6.4v6.5v6.6 6 Oct60K120K180K240K300KSE +/- 9141.48, N = 12SE +/- 20767.40, N = 15SE +/- 8486.55, N = 15265652254640267299

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Delete - Threads: 50 - Files: 100000v6.4v6.5v6.6 6 Oct13K26K39K52K65KSE +/- 1094.57, N = 15SE +/- 835.38, N = 13SE +/- 925.50, N = 15603165662558051

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Open - Threads: 1000 - Files: 100000v6.4v6.5v6.6 6 Oct60K120K180K240K300KSE +/- 5523.57, N = 15SE +/- 19650.01, N = 15SE +/- 15981.48, N = 12274610238253253036

OpenBenchmarking.orgOps per sec, More Is BetterApache Hadoop 3.3.6Operation: Create - Threads: 50 - Files: 1000000v6.4v6.5v6.6 6 Oct8K16K24K32K40KSE +/- 371.08, N = 3SE +/- 274.20, N = 11SE +/- 145.62, N = 3372543761735935

Apache IoTDB

Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100v6.4v6.5v6.6 6 Oct7M14M21M28M35MSE +/- 332901.55, N = 15SE +/- 232925.17, N = 15SE +/- 327309.26, N = 5301899853063290529931254

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100v6.4v6.5v6.6 6 Oct8M16M24M32M40MSE +/- 432863.04, N = 15SE +/- 443563.55, N = 15SE +/- 369838.39, N = 15391220533853984939142134

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100v6.4v6.5v6.6 6 Oct306090120150SE +/- 1.48, N = 15SE +/- 1.82, N = 15SE +/- 1.48, N = 15155.22156.06156.10MAX: 27068.23MAX: 26765.03MAX: 27008.49

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100v6.4v6.5v6.6 6 Oct5M10M15M20M25MSE +/- 171233.24, N = 12SE +/- 188478.96, N = 15SE +/- 173884.88, N = 12245829412482527224839001

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100v6.4v6.5v6.6 6 Oct1632486480SE +/- 0.55, N = 12SE +/- 0.56, N = 15SE +/- 0.49, N = 1270.7769.6569.84MAX: 23941.04MAX: 23930.93MAX: 23963.52

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100v6.4v6.5v6.6 6 Oct9M18M27M36M45MSE +/- 358083.32, N = 15SE +/- 472609.51, N = 15SE +/- 465340.61, N = 3430368984214767141245153

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100v6.4v6.5v6.6 6 Oct20406080100SE +/- 0.96, N = 15SE +/- 1.35, N = 15SE +/- 1.57, N = 397.1699.71102.21MAX: 24088.47MAX: 24866.21MAX: 23899.32

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100v6.4v6.5v6.6 6 Oct11M22M33M44M55MSE +/- 506247.74, N = 13SE +/- 410488.78, N = 15SE +/- 547035.26, N = 12525140085251989852700021

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100v6.4v6.5v6.6 6 Oct306090120150SE +/- 1.53, N = 13SE +/- 1.56, N = 15SE +/- 2.12, N = 12125.95127.67126.51MAX: 23943.82MAX: 23994.5MAX: 23988.02

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100v6.4v6.5v6.6 6 Oct9M18M27M36M45MSE +/- 387575.50, N = 15SE +/- 308400.53, N = 15SE +/- 384183.23, N = 15416752654215036842560026

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100v6.4v6.5v6.6 6 Oct1020304050SE +/- 0.46, N = 15SE +/- 0.39, N = 15SE +/- 0.42, N = 1542.6842.1941.71MAX: 15117.6MAX: 16359.93MAX: 18608.41

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400v6.4v6.5v6.6 6 Oct9M18M27M36M45MSE +/- 245644.87, N = 3SE +/- 373729.23, N = 15SE +/- 344346.26, N = 15405209014220169641638681

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400v6.4v6.5v6.6 6 Oct4080120160200SE +/- 2.09, N = 3SE +/- 1.65, N = 15SE +/- 1.95, N = 15163.36152.95153.49MAX: 27171.99MAX: 28282.63MAX: 27353.32

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100v6.4v6.5v6.6 6 Oct13M26M39M52M65MSE +/- 581785.82, N = 15SE +/- 676191.00, N = 15SE +/- 697211.54, N = 13593769565967987860179852

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100v6.4v6.5v6.6 6 Oct20406080100SE +/- 0.85, N = 15SE +/- 0.97, N = 15SE +/- 1.09, N = 1377.0076.5475.47MAX: 12622.02MAX: 12675.23MAX: 13909.62

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400v6.4v6.5v6.6 6 Oct13M26M39M52M65MSE +/- 450916.16, N = 10SE +/- 654921.10, N = 12SE +/- 455210.13, N = 3580966005955284756839448

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400v6.4v6.5v6.6 6 Oct60120180240300SE +/- 3.08, N = 10SE +/- 3.68, N = 12SE +/- 0.59, N = 3265.99266.74279.15MAX: 30115.56MAX: 27647.27MAX: 29007.59

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100v6.4v6.5v6.6 6 Oct14M28M42M56M70MSE +/- 46596.93, N = 3SE +/- 691489.65, N = 3SE +/- 494444.55, N = 3670453776702375066764218

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100v6.4v6.5v6.6 6 Oct306090120150SE +/- 0.10, N = 3SE +/- 1.29, N = 3SE +/- 1.13, N = 3111.75111.14111.92MAX: 10157.01MAX: 11352.98MAX: 10281.65

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400v6.4v6.5v6.6 6 Oct14M28M42M56M70MSE +/- 525580.37, N = 3SE +/- 800541.34, N = 4SE +/- 791635.87, N = 3660989426739432366372800

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400v6.4v6.5v6.6 6 Oct80160240320400SE +/- 4.26, N = 3SE +/- 5.94, N = 4SE +/- 4.55, N = 3370.82368.15374.60MAX: 30958.08MAX: 30924.16MAX: 29403.16

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100v6.4v6.5v6.6 6 Oct11M22M33M44M55MSE +/- 482700.73, N = 15SE +/- 518637.11, N = 15SE +/- 501437.42, N = 14512482995118839850701925

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100v6.4v6.5v6.6 6 Oct816243240SE +/- 0.38, N = 15SE +/- 0.74, N = 15SE +/- 0.42, N = 1435.3134.4935.64MAX: 23938.81MAX: 23957.29MAX: 23906.01

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400v6.4v6.5v6.6 6 Oct11M22M33M44M55MSE +/- 396843.42, N = 15SE +/- 453048.86, N = 15SE +/- 462612.67, N = 15504235425110478651764919

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400v6.4v6.5v6.6 6 Oct306090120150SE +/- 1.11, N = 15SE +/- 1.66, N = 15SE +/- 2.18, N = 15140.40139.82134.57MAX: 27765.12MAX: 27644.97MAX: 27260.07

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100v6.4v6.5v6.6 6 Oct14M28M42M56M70MSE +/- 690519.22, N = 3SE +/- 929043.22, N = 3SE +/- 407522.59, N = 3662879066655890667263606

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100v6.4v6.5v6.6 6 Oct1632486480SE +/- 0.22, N = 3SE +/- 1.10, N = 3SE +/- 0.62, N = 369.8870.0969.65MAX: 23895.2MAX: 23936.83MAX: 23900.31

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400v6.4v6.5v6.6 6 Oct14M28M42M56M70MSE +/- 524197.72, N = 12SE +/- 628672.36, N = 12SE +/- 718005.55, N = 3657844786607883565998468

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400v6.4v6.5v6.6 6 Oct60120180240300SE +/- 2.23, N = 12SE +/- 2.65, N = 12SE +/- 4.51, N = 3277.40273.92277.50MAX: 30379.43MAX: 28783.48MAX: 28355.83

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100v6.4v6.5v6.6 6 Oct16M32M48M64M80MSE +/- 265706.48, N = 3SE +/- 551372.39, N = 3SE +/- 658836.89, N = 3726055137059252773920159

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100v6.4v6.5v6.6 6 Oct20406080100SE +/- 0.13, N = 3SE +/- 1.12, N = 3SE +/- 1.01, N = 3104.93108.51102.90MAX: 23900.89MAX: 23916.24MAX: 23899.89

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100v6.5v6.6 6 Oct306090120150SE +/- 1.28, N = 15SE +/- 1.88, N = 5127.92132.61MAX: 26759.03MAX: 25773.81

Redis 7.0.12 + memtier_benchmark

Memtier_benchmark is a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5v6.4v6.5v6.6 6 Oct500K1000K1500K2000K2500KSE +/- 57616.61, N = 12SE +/- 31237.79, N = 15SE +/- 21494.50, N = 32331936.552128295.602188365.951. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10v6.4v6.5v6.6 6 Oct500K1000K1500K2000K2500KSE +/- 23334.59, N = 3SE +/- 37051.26, N = 12SE +/- 26927.97, N = 32262895.862068343.102231964.351. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

PostgreSQL

This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Onlyv6.4v6.5v6.6 6 Oct150K300K450K600K750KSE +/- 15922.26, N = 9SE +/- 30469.92, N = 12SE +/- 23263.68, N = 96402357008366971031. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latencyv6.4v6.5v6.6 6 Oct0.35330.70661.05991.41321.7665SE +/- 0.042, N = 9SE +/- 0.056, N = 12SE +/- 0.044, N = 91.5701.4541.4461. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Writev6.4v6.5v6.6 6 Oct10K20K30K40K50KSE +/- 557.77, N = 3SE +/- 370.85, N = 3SE +/- 508.74, N = 44558143765445041. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latencyv6.4v6.5v6.6 6 Oct48121620SE +/- 0.22, N = 3SE +/- 0.15, N = 3SE +/- 0.21, N = 417.5618.2817.981. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 1000 - Clients: 800 - Mode: Read Onlyv6.4v6.5v6.6 6 Oct160K320K480K640K800KSE +/- 9464.82, N = 3SE +/- 10180.90, N = 3SE +/- 9607.07, N = 127012137291847103891. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 1000 - Clients: 800 - Mode: Read Only - Average Latencyv6.4v6.5v6.6 6 Oct0.25670.51340.77011.02681.2835SE +/- 0.016, N = 3SE +/- 0.015, N = 3SE +/- 0.015, N = 121.1411.0981.1281. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Writev6.4v6.5v6.6 6 Oct9K18K27K36K45KSE +/- 535.00, N = 4SE +/- 379.56, N = 12SE +/- 434.91, N = 124294742340419611. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latencyv6.4v6.5v6.6 6 Oct612182430SE +/- 0.29, N = 4SE +/- 0.21, N = 12SE +/- 0.25, N = 1223.3023.6423.861. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 1000 - Clients: 1000 - Mode: Read Onlyv6.4v6.5v6.6 6 Oct150K300K450K600K750KSE +/- 8915.31, N = 12SE +/- 10655.35, N = 12SE +/- 8415.01, N = 37100797144846854221. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 1000 - Clients: 1000 - Mode: Read Only - Average Latencyv6.4v6.5v6.6 6 Oct0.32850.6570.98551.3141.6425SE +/- 0.018, N = 12SE +/- 0.021, N = 12SE +/- 0.018, N = 31.4111.4031.4601. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 1000 - Clients: 800 - Mode: Read Writev6.4v6.5v6.6 6 Oct5K10K15K20K25KSE +/- 240.76, N = 12SE +/- 236.09, N = 3SE +/- 172.49, N = 122041621367205101. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 1000 - Clients: 800 - Mode: Read Write - Average Latencyv6.4v6.5v6.6 6 Oct918273645SE +/- 0.47, N = 12SE +/- 0.42, N = 3SE +/- 0.33, N = 1239.2537.4539.041. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 1000 - Clients: 1000 - Mode: Read Writev6.4v6.5v6.6 6 Oct4K8K12K16K20KSE +/- 218.15, N = 12SE +/- 180.45, N = 12SE +/- 216.13, N = 121988419709197141. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 1000 - Clients: 1000 - Mode: Read Write - Average Latencyv6.4v6.5v6.6 6 Oct1122334455SE +/- 0.55, N = 12SE +/- 0.46, N = 12SE +/- 0.55, N = 1250.3650.7950.791. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

185 Results Shown

Crypto++:
  Keyed Algorithms
  Unkeyed Algorithms
Stress-NG:
  Hash
  MMAP
  NUMA
  Pipe
  Zlib
  Mutex
  Malloc
  Pthread
  AVL Tree
  IO_uring
  CPU Cache
  CPU Stress
  Semaphores
  Matrix Math
  Vector Math
  AVX-512 VNNI
  Function Call
  x86_64 RdRand
  Floating Point
  Matrix 3D Math
  Memory Copying
  Vector Shuffle
  Wide Vector Math
  Fused Multiply-Add
  Vector Floating Point
  Glibc C String Functions
  Glibc Qsort Data Sorting
  System V Message Passing
nekRS:
  Kershaw
  TurboPipe Periodic
OpenRadioss:
  Bumper Beam
  Chrysler Neon 1M
  Cell Phone Drop Test
  Bird Strike on Windshield
  Rubber O-Ring Seal Installation
  INIVOL and Fluid Structure Interaction Drop Container
TensorFlow:
  CPU - 16 - ResNet-50
  CPU - 32 - ResNet-50
  CPU - 64 - ResNet-50
  CPU - 256 - ResNet-50
High Performance Conjugate Gradient:
  104 104 104 - 60
  144 144 144 - 60
NAS Parallel Benchmarks:
  BT.C
  CG.C
  EP.C
  FT.C
  LU.C
  MG.C
  SP.B
  SP.C
Rodinia:
  OpenMP LavaMD
  OpenMP HotSpot3D
  OpenMP Leukocyte
  OpenMP CFD Solver
  OpenMP Streamcluster
OpenVINO:
  Face Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP32 - CPU:
    FPS
    ms
  Vehicle Detection FP16 - CPU:
    FPS
    ms
  Face Detection FP16-INT8 - CPU:
    FPS
    ms
  Face Detection Retail FP16 - CPU:
    FPS
    ms
  Road Segmentation ADAS FP16 - CPU:
    FPS
    ms
  Vehicle Detection FP16-INT8 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16 - CPU:
    FPS
    ms
  Face Detection Retail FP16-INT8 - CPU:
    FPS
    ms
  Road Segmentation ADAS FP16-INT8 - CPU:
    FPS
    ms
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
    ms
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
  Handwritten English Recognition FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
  Handwritten English Recognition FP16-INT8 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    FPS
    ms
OpenFOAM:
  drivaerFastback, Small Mesh Size - Mesh Time
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Medium Mesh Size - Mesh Time
  drivaerFastback, Medium Mesh Size - Execution Time
7-Zip Compression:
  Compression Rating
  Decompression Rating
Timed LLVM Compilation:
  Ninja
  Unix Makefiles
Timed Linux Kernel Compilation:
  defconfig
  allmodconfig
AOM AV1:
  Speed 0 Two-Pass - Bosphorus 4K
  Speed 4 Two-Pass - Bosphorus 4K
  Speed 6 Realtime - Bosphorus 4K
  Speed 6 Two-Pass - Bosphorus 4K
  Speed 8 Realtime - Bosphorus 4K
  Speed 9 Realtime - Bosphorus 4K
  Speed 10 Realtime - Bosphorus 4K
  Speed 11 Realtime - Bosphorus 4K
SVT-AV1:
  Preset 4 - Bosphorus 4K
  Preset 12 - Bosphorus 4K
  Preset 13 - Bosphorus 4K
  Preset 4 - Bosphorus 1080p
  Preset 12 - Bosphorus 1080p
  Preset 13 - Bosphorus 1080p
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Barbershop - CPU-Only
  Pabellon Barcelona - CPU-Only
VVenC:
  Bosphorus 4K - Fast
  Bosphorus 4K - Faster
  Bosphorus 1080p - Fast
  Bosphorus 1080p - Faster
libavif avifenc:
  0
  2
  6
  6, Lossless
  10, Lossless
Apache Hadoop:
  Open - 50 - 100000
  Open - 100 - 100000
  Open - 500 - 100000
  Delete - 50 - 100000
  Open - 1000 - 100000
  Create - 50 - 1000000
Apache IoTDB:
  100 - 100 - 500 - 100
  100 - 100 - 800 - 100
  100 - 100 - 800 - 100
  200 - 100 - 200 - 100
  200 - 100 - 200 - 100
  200 - 100 - 500 - 100
  200 - 100 - 500 - 100
  200 - 100 - 800 - 100
  200 - 100 - 800 - 100
  500 - 100 - 200 - 100
  500 - 100 - 200 - 100
  500 - 100 - 200 - 400
  500 - 100 - 200 - 400
  500 - 100 - 500 - 100
  500 - 100 - 500 - 100
  500 - 100 - 500 - 400
  500 - 100 - 500 - 400
  500 - 100 - 800 - 100
  500 - 100 - 800 - 100
  500 - 100 - 800 - 400
  500 - 100 - 800 - 400
  800 - 100 - 200 - 100
  800 - 100 - 200 - 100
  800 - 100 - 200 - 400
  800 - 100 - 200 - 400
  800 - 100 - 500 - 100
  800 - 100 - 500 - 100
  800 - 100 - 500 - 400
  800 - 100 - 500 - 400
  800 - 100 - 800 - 100
  800 - 100 - 800 - 100
  100 - 100 - 500 - 100
Redis 7.0.12 + memtier_benchmark:
  Redis - 50 - 1:5
  Redis - 100 - 1:10
PostgreSQL:
  100 - 1000 - Read Only
  100 - 1000 - Read Only - Average Latency
  100 - 800 - Read Write
  100 - 800 - Read Write - Average Latency
  1000 - 800 - Read Only
  1000 - 800 - Read Only - Average Latency
  100 - 1000 - Read Write
  100 - 1000 - Read Write - Average Latency
  1000 - 1000 - Read Only
  1000 - 1000 - Read Only - Average Latency
  1000 - 800 - Read Write
  1000 - 800 - Read Write - Average Latency
  1000 - 1000 - Read Write
  1000 - 1000 - Read Write - Average Latency