Ryzen 9 3950X Master

AMD Ryzen 9 3950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS) and NVIDIA GeForce GTX 1080 8GB on Ubuntu 20.04 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 2009207-FI-RYZEN939569
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Ryzen 9 3950X MasterOpenBenchmarking.orgPhoronix Test Suite 10.2.0AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS)AMD Starship/Matisse16GB2000GB Corsair Force MP600 + 2000GBNVIDIA GeForce GTX 1080 8GB (1607/5005MHz)NVIDIA GP104 HD AudioDELL P2415QRealtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 20.045.4.0-47-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8NVIDIA 450.664.6.0OpenCL 1.2 CUDA 11.0.228 + OpenCL 2.0 AMD-APP (3182.0)1.2.133GCC 9.3.0 + CUDA 11.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionRyzen 9 3950X Master BenchmarksSystem Logs- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --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 - Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701013- GPU Compute Cores: 2560- Python 3.8.2- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Ryzen 9 3950X Masterhashcat: MD5hashcat: SHA1hashcat: 7-Ziphashcat: SHA-512hashcat: TrueCrypt RIPEMD160 + XTSgromacs-gpu: Water Benchmarknamd-cuda: ATPase Simulation - 327,506 Atomsglmark2: 800 x 600glmark2: 1024 x 768glmark2: 1280 x 1024glmark2: 1600 x 1200glmark2: 1920 x 1080glmark2: 1920 x 1200glmark2: 2560 x 1440glmark2: 3840 x 2160redshift: lczero: BLASlczero: Eigenlczero: OpenCLlczero: Randnamd: ATPase Simulation - 327,506 Atomsincompact3d: Cylindermocassin: Dust 2D tau100.0lammps: 20k Atomslammps: Rhodopsin Proteinaom-av1: Speed 0 Two-Passaom-av1: Speed 4 Two-Passaom-av1: Speed 6 Realtimeaom-av1: Speed 6 Two-Passaom-av1: Speed 8 Realtimeperf-bench: Epoll Waitperf-bench: Futex Hashperf-bench: Memcpy 1MBperf-bench: Memset 1MBperf-bench: Sched Pipeperf-bench: Futex Lock-Piperf-bench: Syscall Basictensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2gpaw: Carbon Nanotubemnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - squeezenet_int8ncnn: CPU - mobilenet_v3ncnn: CPU - squeezenetncnn: CPU - mnasnetncnn: CPU - blazefacencnn: CPU - googlenet_int8ncnn: CPU - vgg16_int8ncnn: CPU - resnet18_int8ncnn: CPU - alexnetncnn: CPU - resnet50_int8ncnn: CPU - mobilenetv2_yolov3blender: BMW27 - CUDAblender: BMW27 - OpenCLblender: BMW27 - CPU-Onlyblender: Classroom - CUDAblender: Fishy Cat - CUDAblender: Barbershop - CUDAblender: Classroom - OpenCLblender: Fishy Cat - OpenCLblender: Barbershop - OpenCLblender: BMW27 - NVIDIA OptiXblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Classroom - NVIDIA OptiXblender: Fishy Cat - NVIDIA OptiXblender: Barbershop - NVIDIA OptiXblender: Pabellon Barcelona - CUDAblender: Pabellon Barcelona - OpenCLblender: Pabellon Barcelona - CPU-Onlyblender: Pabellon Barcelona - NVIDIA OptiXRyzen 9 3950X + GTX 108026536233333884273333338240010915666672856334.6580.205821293411407954281288069757559483434744386397105952307851.18729212.50326519912.07211.8310.352.7119.264.2037.8333237506503416.45433673.84967639115947222203152101203144363011887967096.269241.41299443315.1437.88541.4965.4857.36836.27312.275.235.035.211.9834.0286.9017.3516.7651.4717.0995.59275.5082.05265.18180.95795.12256.29657.58435.6391.84231.62108.15337.66254.53186.642257.23611.62754.36259.13529.94OpenBenchmarking.org

Hashcat

Hashcat is an open-source, advanced password recovery tool supporting GPU acceleration with OpenCL, NVIDIA CUDA, and Radeon ROCm. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: MD5Ryzen 9 3950X + GTX 10806000M12000M18000M24000M30000MSE +/- 58363925.31, N = 326536233333

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: SHA1Ryzen 9 3950X + GTX 10802000M4000M6000M8000M10000MSE +/- 23572606.51, N = 38842733333

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: 7-ZipRyzen 9 3950X + GTX 108080K160K240K320K400KSE +/- 776.75, N = 3382400

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: SHA-512Ryzen 9 3950X + GTX 1080200M400M600M800M1000MSE +/- 2567315.94, N = 31091566667

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: TrueCrypt RIPEMD160 + XTSRyzen 9 3950X + GTX 108060K120K180K240K300KSE +/- 120.19, N = 3285633

GROMACS

The CUDA version of the Gromacs molecular dynamics package. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkRyzen 9 3950X + GTX 10801.04812.09623.14434.19245.2405SE +/- 0.009, N = 24.6581. (CXX) g++ options: -O3 -lpthread -ldl -lrt -lm

NAMD CUDA

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. This version of the NAMD test profile uses CUDA GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.14ATPase Simulation - 327,506 AtomsRyzen 9 3950X + GTX 10800.04630.09260.13890.18520.2315SE +/- 0.00198, N = 30.20582

GLmark2

This is a test of Linaro's glmark2 port, currently using the X11 OpenGL 2.0 target. GLmark2 is a basic OpenGL benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 800 x 600Ryzen 9 3950X + GTX 10803K6K9K12K15K12934

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1024 x 768Ryzen 9 3950X + GTX 10802K4K6K8K10K11407

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1280 x 1024Ryzen 9 3950X + GTX 10802K4K6K8K10K9542

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1600 x 1200Ryzen 9 3950X + GTX 10802K4K6K8K10K8128

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080Ryzen 9 3950X + GTX 10802K4K6K8K10K8069

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1200Ryzen 9 3950X + GTX 1080160032004800640080007575

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 2560 x 1440Ryzen 9 3950X + GTX 1080130026003900520065005948

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 3840 x 2160Ryzen 9 3950X + GTX 108070014002100280035003434

RedShift Demo

This is a test of MAXON's RedShift demo build that currently requires NVIDIA GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRedShift Demo 3.0Ryzen 9 3950X + GTX 1080160320480640800SE +/- 0.88, N = 3744

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASRyzen 9 3950X + GTX 108080160240320400SE +/- 4.56, N = 53861. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenRyzen 9 3950X + GTX 108090180270360450SE +/- 6.17, N = 33971. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: OpenCLRyzen 9 3950X + GTX 10802K4K6K8K10KSE +/- 40.45, N = 3105951. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: RandomRyzen 9 3950X + GTX 108050K100K150K200K250KSE +/- 154.68, N = 32307851. (CXX) g++ options: -flto -pthread

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsRyzen 9 3950X + GTX 10800.26710.53420.80131.06841.3355SE +/- 0.01703, N = 31.18729

Incompact3D

Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderRyzen 9 3950X + GTX 108050100150200250SE +/- 0.27, N = 3212.501. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

Monte Carlo Simulations of Ionised Nebulae

Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Ryzen 9 3950X + GTX 108040801201602001991. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k AtomsRyzen 9 3950X + GTX 10803691215SE +/- 0.05, N = 312.071. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinRyzen 9 3950X + GTX 10803691215SE +/- 0.13, N = 611.831. (CXX) g++ options: -O3 -pthread -lm

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassRyzen 9 3950X + GTX 10800.07880.15760.23640.31520.394SE +/- 0.00, N = 30.351. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassRyzen 9 3950X + GTX 10800.60981.21961.82942.43923.049SE +/- 0.01, N = 32.711. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeRyzen 9 3950X + GTX 1080510152025SE +/- 0.03, N = 319.261. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassRyzen 9 3950X + GTX 10800.9451.892.8353.784.725SE +/- 0.01, N = 34.201. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeRyzen 9 3950X + GTX 1080918273645SE +/- 0.09, N = 337.831. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

perf-bench

OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Epoll WaitRyzen 9 3950X + GTX 10807K14K21K28K35KSE +/- 101.57, N = 3332371. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lcrypto -lz -lnuma

OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Futex HashRyzen 9 3950X + GTX 10801.1M2.2M3.3M4.4M5.5MSE +/- 6316.65, N = 350650341. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lcrypto -lz -lnuma

OpenBenchmarking.orgGB/sec, More Is Betterperf-benchBenchmark: Memcpy 1MBRyzen 9 3950X + GTX 108048121620SE +/- 0.35, N = 1416.451. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lcrypto -lz -lnuma

OpenBenchmarking.orgGB/sec, More Is Betterperf-benchBenchmark: Memset 1MBRyzen 9 3950X + GTX 10801632486480SE +/- 0.93, N = 373.851. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lcrypto -lz -lnuma

OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Sched PipeRyzen 9 3950X + GTX 108080K160K240K320K400KSE +/- 2963.44, N = 33911591. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lcrypto -lz -lnuma

OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Futex Lock-PiRyzen 9 3950X + GTX 1080100200300400500SE +/- 6.84, N = 34721. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lcrypto -lz -lnuma

OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Syscall BasicRyzen 9 3950X + GTX 10805M10M15M20M25MSE +/- 299165.74, N = 3222031521. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lcrypto -lz -lnuma

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetRyzen 9 3950X + GTX 108020K40K60K80K100KSE +/- 89.84, N = 3101203

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Ryzen 9 3950X + GTX 1080300K600K900K1200K1500KSE +/- 570.47, N = 31443630

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileRyzen 9 3950X + GTX 108030K60K90K120K150KSE +/- 600.62, N = 3118879

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRyzen 9 3950X + GTX 108014K28K42K56K70KSE +/- 53.88, N = 367096.2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRyzen 9 3950X + GTX 108015K30K45K60K75KSE +/- 9.01, N = 369241.4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Ryzen 9 3950X + GTX 1080300K600K900K1200K1500KSE +/- 456.30, N = 31299443

GPAW

GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeRyzen 9 3950X + GTX 108070140210280350SE +/- 0.40, N = 3315.141. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Ryzen 9 3950X + GTX 1080246810SE +/- 0.077, N = 37.885MIN: 7.55 / MAX: 18.551. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Ryzen 9 3950X + GTX 1080918273645SE +/- 0.15, N = 341.50MIN: 38.88 / MAX: 52.091. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Ryzen 9 3950X + GTX 10801.23412.46823.70234.93646.1705SE +/- 0.062, N = 35.485MIN: 5.15 / MAX: 13.191. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Ryzen 9 3950X + GTX 1080246810SE +/- 0.147, N = 37.368MIN: 6.78 / MAX: 18.41. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Ryzen 9 3950X + GTX 1080816243240SE +/- 0.09, N = 336.27MIN: 34.9 / MAX: 71.261. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet_int8Ryzen 9 3950X + GTX 10803691215SE +/- 0.05, N = 312.27MIN: 12.1 / MAX: 18.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3Ryzen 9 3950X + GTX 10801.17682.35363.53044.70725.884SE +/- 0.06, N = 35.23MIN: 5.05 / MAX: 7.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetRyzen 9 3950X + GTX 10801.13182.26363.39544.52725.659SE +/- 0.06, N = 35.03MIN: 4.89 / MAX: 5.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetRyzen 9 3950X + GTX 10801.17232.34463.51694.68925.8615SE +/- 0.03, N = 35.21MIN: 5.06 / MAX: 6.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceRyzen 9 3950X + GTX 10800.44550.8911.33651.7822.2275SE +/- 0.02, N = 31.98MIN: 1.93 / MAX: 2.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8Ryzen 9 3950X + GTX 1080816243240SE +/- 0.32, N = 334.02MIN: 33.01 / MAX: 35.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8Ryzen 9 3950X + GTX 108020406080100SE +/- 0.17, N = 386.90MIN: 85.87 / MAX: 95.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8Ryzen 9 3950X + GTX 108048121620SE +/- 0.05, N = 317.35MIN: 16.17 / MAX: 27.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetRyzen 9 3950X + GTX 108048121620SE +/- 0.05, N = 316.76MIN: 16.51 / MAX: 18.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8Ryzen 9 3950X + GTX 10801224364860SE +/- 0.13, N = 351.47MIN: 50.66 / MAX: 86.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3Ryzen 9 3950X + GTX 108048121620SE +/- 0.24, N = 317.09MIN: 16.59 / MAX: 26.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CUDARyzen 9 3950X + GTX 108020406080100SE +/- 0.18, N = 395.59

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: OpenCLRyzen 9 3950X + GTX 108060120180240300SE +/- 0.77, N = 3275.50

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyRyzen 9 3950X + GTX 108020406080100SE +/- 0.10, N = 382.05

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CUDARyzen 9 3950X + GTX 108060120180240300SE +/- 0.79, N = 3265.18

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CUDARyzen 9 3950X + GTX 10804080120160200SE +/- 0.10, N = 3180.95

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CUDARyzen 9 3950X + GTX 10802004006008001000SE +/- 0.13, N = 3795.12

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: OpenCLRyzen 9 3950X + GTX 108060120180240300SE +/- 0.23, N = 3256.29

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: OpenCLRyzen 9 3950X + GTX 1080140280420560700SE +/- 1.87, N = 3657.58

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: OpenCLRyzen 9 3950X + GTX 108090180270360450SE +/- 2.36, N = 3435.63

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: NVIDIA OptiXRyzen 9 3950X + GTX 108020406080100SE +/- 0.26, N = 391.84

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyRyzen 9 3950X + GTX 108050100150200250SE +/- 0.25, N = 3231.62

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyRyzen 9 3950X + GTX 108020406080100SE +/- 0.03, N = 3108.15

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyRyzen 9 3950X + GTX 108070140210280350SE +/- 0.26, N = 3337.66

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: NVIDIA OptiXRyzen 9 3950X + GTX 108060120180240300SE +/- 0.62, N = 3254.53

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: NVIDIA OptiXRyzen 9 3950X + GTX 10804080120160200SE +/- 0.01, N = 3186.64

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: NVIDIA OptiXRyzen 9 3950X + GTX 10805001000150020002500SE +/- 0.16, N = 32257.23

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CUDARyzen 9 3950X + GTX 1080130260390520650SE +/- 0.06, N = 3611.62

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: OpenCLRyzen 9 3950X + GTX 1080160320480640800SE +/- 0.95, N = 3754.36

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-OnlyRyzen 9 3950X + GTX 108060120180240300SE +/- 0.09, N = 3259.13

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXRyzen 9 3950X + GTX 1080110220330440550SE +/- 0.65, N = 3529.94


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