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.
HTML result view exported from: https://openbenchmarking.org/result/2009207-FI-RYZEN939569&grt .
Ryzen 9 3950X Master Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL OpenCL Vulkan Compiler File-System Screen Resolution Ryzen 9 3950X + GTX 1080 AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads) ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS) AMD Starship/Matisse 16GB 2000GB Corsair Force MP600 + 2000GB NVIDIA GeForce GTX 1080 8GB (1607/5005MHz) NVIDIA GP104 HD Audio DELL P2415Q Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200 Ubuntu 20.04 5.4.0-47-generic (x86_64) GNOME Shell 3.36.4 X Server 1.20.8 NVIDIA 450.66 4.6.0 OpenCL 1.2 CUDA 11.0.228 + OpenCL 2.0 AMD-APP (3182.0) 1.2.133 GCC 9.3.0 + CUDA 11.0 ext4 3840x2160 OpenBenchmarking.org - --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 Master aom-av1: Speed 0 Two-Pass aom-av1: Speed 4 Two-Pass aom-av1: Speed 6 Realtime aom-av1: Speed 6 Two-Pass aom-av1: Speed 8 Realtime blender: BMW27 - CUDA blender: BMW27 - OpenCL blender: BMW27 - CPU-Only blender: Classroom - CUDA blender: Fishy Cat - CUDA blender: Barbershop - CUDA blender: Classroom - OpenCL blender: Fishy Cat - OpenCL blender: Barbershop - OpenCL blender: BMW27 - NVIDIA OptiX blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Barbershop - CPU-Only blender: Classroom - NVIDIA OptiX blender: Fishy Cat - NVIDIA OptiX blender: Barbershop - NVIDIA OptiX blender: Pabellon Barcelona - CUDA blender: Pabellon Barcelona - OpenCL blender: Pabellon Barcelona - CPU-Only blender: Pabellon Barcelona - NVIDIA OptiX glmark2: 800 x 600 glmark2: 1024 x 768 glmark2: 1280 x 1024 glmark2: 1600 x 1200 glmark2: 1920 x 1080 glmark2: 1920 x 1200 glmark2: 2560 x 1440 glmark2: 3840 x 2160 gpaw: Carbon Nanotube gromacs-gpu: Water Benchmark hashcat: MD5 hashcat: SHA1 hashcat: 7-Zip hashcat: SHA-512 hashcat: TrueCrypt RIPEMD160 + XTS incompact3d: Cylinder lammps: 20k Atoms lammps: Rhodopsin Protein lczero: BLAS lczero: Eigen lczero: OpenCL lczero: Rand mnn: SqueezeNetV1.0 mnn: resnet-v2-50 mnn: MobileNetV2_224 mnn: mobilenet-v1-1.0 mnn: inception-v3 mocassin: Dust 2D tau100.0 namd: ATPase Simulation - 327,506 Atoms namd-cuda: ATPase Simulation - 327,506 Atoms ncnn: CPU - squeezenet_int8 ncnn: CPU - mobilenet_v3 ncnn: CPU - squeezenet ncnn: CPU - mnasnet ncnn: CPU - blazeface ncnn: CPU - googlenet_int8 ncnn: CPU - vgg16_int8 ncnn: CPU - resnet18_int8 ncnn: CPU - alexnet ncnn: CPU - resnet50_int8 ncnn: CPU - mobilenetv2_yolov3 perf-bench: Epoll Wait perf-bench: Futex Hash perf-bench: Memcpy 1MB perf-bench: Memset 1MB perf-bench: Sched Pipe perf-bench: Futex Lock-Pi perf-bench: Syscall Basic redshift: tensorflow-lite: SqueezeNet tensorflow-lite: Inception V4 tensorflow-lite: NASNet Mobile tensorflow-lite: Mobilenet Float tensorflow-lite: Mobilenet Quant tensorflow-lite: Inception ResNet V2 Ryzen 9 3950X + GTX 1080 0.35 2.71 19.26 4.20 37.83 95.59 275.50 82.05 265.18 180.95 795.12 256.29 657.58 435.63 91.84 231.62 108.15 337.66 254.53 186.64 2257.23 611.62 754.36 259.13 529.94 12934 11407 9542 8128 8069 7575 5948 3434 315.143 4.658 26536233333 8842733333 382400 1091566667 285633 212.503265 12.072 11.831 386 397 10595 230785 7.885 41.496 5.485 7.368 36.273 199 1.18729 0.20582 12.27 5.23 5.03 5.21 1.98 34.02 86.90 17.35 16.76 51.47 17.09 33237 5065034 16.454336 73.849676 391159 472 22203152 744 101203 1443630 118879 67096.2 69241.4 1299443 OpenBenchmarking.org
AOM AV1 Encoder Mode: Speed 0 Two-Pass OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 0 Two-Pass Ryzen 9 3950X + GTX 1080 0.0788 0.1576 0.2364 0.3152 0.394 SE +/- 0.00, N = 3 0.35 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
AOM AV1 Encoder Mode: Speed 4 Two-Pass OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 4 Two-Pass Ryzen 9 3950X + GTX 1080 0.6098 1.2196 1.8294 2.4392 3.049 SE +/- 0.01, N = 3 2.71 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
AOM AV1 Encoder Mode: Speed 6 Realtime OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Realtime Ryzen 9 3950X + GTX 1080 5 10 15 20 25 SE +/- 0.03, N = 3 19.26 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
AOM AV1 Encoder Mode: Speed 6 Two-Pass OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Two-Pass Ryzen 9 3950X + GTX 1080 0.945 1.89 2.835 3.78 4.725 SE +/- 0.01, N = 3 4.20 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
AOM AV1 Encoder Mode: Speed 8 Realtime OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 8 Realtime Ryzen 9 3950X + GTX 1080 9 18 27 36 45 SE +/- 0.09, N = 3 37.83 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Blender Blend File: BMW27 - Compute: CUDA OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: BMW27 - Compute: CUDA Ryzen 9 3950X + GTX 1080 20 40 60 80 100 SE +/- 0.18, N = 3 95.59
Blender Blend File: BMW27 - Compute: OpenCL OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: BMW27 - Compute: OpenCL Ryzen 9 3950X + GTX 1080 60 120 180 240 300 SE +/- 0.77, N = 3 275.50
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: BMW27 - Compute: CPU-Only Ryzen 9 3950X + GTX 1080 20 40 60 80 100 SE +/- 0.10, N = 3 82.05
Blender Blend File: Classroom - Compute: CUDA OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Classroom - Compute: CUDA Ryzen 9 3950X + GTX 1080 60 120 180 240 300 SE +/- 0.79, N = 3 265.18
Blender Blend File: Fishy Cat - Compute: CUDA OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Fishy Cat - Compute: CUDA Ryzen 9 3950X + GTX 1080 40 80 120 160 200 SE +/- 0.10, N = 3 180.95
Blender Blend File: Barbershop - Compute: CUDA OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Barbershop - Compute: CUDA Ryzen 9 3950X + GTX 1080 200 400 600 800 1000 SE +/- 0.13, N = 3 795.12
Blender Blend File: Classroom - Compute: OpenCL OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Classroom - Compute: OpenCL Ryzen 9 3950X + GTX 1080 60 120 180 240 300 SE +/- 0.23, N = 3 256.29
Blender Blend File: Fishy Cat - Compute: OpenCL OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Fishy Cat - Compute: OpenCL Ryzen 9 3950X + GTX 1080 140 280 420 560 700 SE +/- 1.87, N = 3 657.58
Blender Blend File: Barbershop - Compute: OpenCL OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Barbershop - Compute: OpenCL Ryzen 9 3950X + GTX 1080 90 180 270 360 450 SE +/- 2.36, N = 3 435.63
Blender Blend File: BMW27 - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: BMW27 - Compute: NVIDIA OptiX Ryzen 9 3950X + GTX 1080 20 40 60 80 100 SE +/- 0.26, N = 3 91.84
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Classroom - Compute: CPU-Only Ryzen 9 3950X + GTX 1080 50 100 150 200 250 SE +/- 0.25, N = 3 231.62
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Fishy Cat - Compute: CPU-Only Ryzen 9 3950X + GTX 1080 20 40 60 80 100 SE +/- 0.03, N = 3 108.15
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Barbershop - Compute: CPU-Only Ryzen 9 3950X + GTX 1080 70 140 210 280 350 SE +/- 0.26, N = 3 337.66
Blender Blend File: Classroom - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Classroom - Compute: NVIDIA OptiX Ryzen 9 3950X + GTX 1080 60 120 180 240 300 SE +/- 0.62, N = 3 254.53
Blender Blend File: Fishy Cat - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Fishy Cat - Compute: NVIDIA OptiX Ryzen 9 3950X + GTX 1080 40 80 120 160 200 SE +/- 0.01, N = 3 186.64
Blender Blend File: Barbershop - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Barbershop - Compute: NVIDIA OptiX Ryzen 9 3950X + GTX 1080 500 1000 1500 2000 2500 SE +/- 0.16, N = 3 2257.23
Blender Blend File: Pabellon Barcelona - Compute: CUDA OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Pabellon Barcelona - Compute: CUDA Ryzen 9 3950X + GTX 1080 130 260 390 520 650 SE +/- 0.06, N = 3 611.62
Blender Blend File: Pabellon Barcelona - Compute: OpenCL OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Pabellon Barcelona - Compute: OpenCL Ryzen 9 3950X + GTX 1080 160 320 480 640 800 SE +/- 0.95, N = 3 754.36
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Pabellon Barcelona - Compute: CPU-Only Ryzen 9 3950X + GTX 1080 60 120 180 240 300 SE +/- 0.09, N = 3 259.13
Blender Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX Ryzen 9 3950X + GTX 1080 110 220 330 440 550 SE +/- 0.65, N = 3 529.94
GLmark2 Resolution: 800 x 600 OpenBenchmarking.org Score, More Is Better GLmark2 2020.04 Resolution: 800 x 600 Ryzen 9 3950X + GTX 1080 3K 6K 9K 12K 15K 12934
GLmark2 Resolution: 1024 x 768 OpenBenchmarking.org Score, More Is Better GLmark2 2020.04 Resolution: 1024 x 768 Ryzen 9 3950X + GTX 1080 2K 4K 6K 8K 10K 11407
GLmark2 Resolution: 1280 x 1024 OpenBenchmarking.org Score, More Is Better GLmark2 2020.04 Resolution: 1280 x 1024 Ryzen 9 3950X + GTX 1080 2K 4K 6K 8K 10K 9542
GLmark2 Resolution: 1600 x 1200 OpenBenchmarking.org Score, More Is Better GLmark2 2020.04 Resolution: 1600 x 1200 Ryzen 9 3950X + GTX 1080 2K 4K 6K 8K 10K 8128
GLmark2 Resolution: 1920 x 1080 OpenBenchmarking.org Score, More Is Better GLmark2 2020.04 Resolution: 1920 x 1080 Ryzen 9 3950X + GTX 1080 2K 4K 6K 8K 10K 8069
GLmark2 Resolution: 1920 x 1200 OpenBenchmarking.org Score, More Is Better GLmark2 2020.04 Resolution: 1920 x 1200 Ryzen 9 3950X + GTX 1080 1600 3200 4800 6400 8000 7575
GLmark2 Resolution: 2560 x 1440 OpenBenchmarking.org Score, More Is Better GLmark2 2020.04 Resolution: 2560 x 1440 Ryzen 9 3950X + GTX 1080 1300 2600 3900 5200 6500 5948
GLmark2 Resolution: 3840 x 2160 OpenBenchmarking.org Score, More Is Better GLmark2 2020.04 Resolution: 3840 x 2160 Ryzen 9 3950X + GTX 1080 700 1400 2100 2800 3500 3434
GPAW Input: Carbon Nanotube OpenBenchmarking.org Seconds, Fewer Is Better GPAW 20.1 Input: Carbon Nanotube Ryzen 9 3950X + GTX 1080 70 140 210 280 350 SE +/- 0.40, N = 3 315.14 1. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
GROMACS Water Benchmark OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2020.3 Water Benchmark Ryzen 9 3950X + GTX 1080 1.0481 2.0962 3.1443 4.1924 5.2405 SE +/- 0.009, N = 2 4.658 1. (CXX) g++ options: -O3 -lpthread -ldl -lrt -lm
Hashcat Benchmark: MD5 OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: MD5 Ryzen 9 3950X + GTX 1080 6000M 12000M 18000M 24000M 30000M SE +/- 58363925.31, N = 3 26536233333
Hashcat Benchmark: SHA1 OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: SHA1 Ryzen 9 3950X + GTX 1080 2000M 4000M 6000M 8000M 10000M SE +/- 23572606.51, N = 3 8842733333
Hashcat Benchmark: 7-Zip OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: 7-Zip Ryzen 9 3950X + GTX 1080 80K 160K 240K 320K 400K SE +/- 776.75, N = 3 382400
Hashcat Benchmark: SHA-512 OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: SHA-512 Ryzen 9 3950X + GTX 1080 200M 400M 600M 800M 1000M SE +/- 2567315.94, N = 3 1091566667
Hashcat Benchmark: TrueCrypt RIPEMD160 + XTS OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: TrueCrypt RIPEMD160 + XTS Ryzen 9 3950X + GTX 1080 60K 120K 180K 240K 300K SE +/- 120.19, N = 3 285633
Incompact3D Input: Cylinder OpenBenchmarking.org Seconds, Fewer Is Better Incompact3D 2020-09-17 Input: Cylinder Ryzen 9 3950X + GTX 1080 50 100 150 200 250 SE +/- 0.27, N = 3 212.50 1. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
LAMMPS Molecular Dynamics Simulator Model: 20k Atoms OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: 20k Atoms Ryzen 9 3950X + GTX 1080 3 6 9 12 15 SE +/- 0.05, N = 3 12.07 1. (CXX) g++ options: -O3 -pthread -lm
LAMMPS Molecular Dynamics Simulator Model: Rhodopsin Protein OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: Rhodopsin Protein Ryzen 9 3950X + GTX 1080 3 6 9 12 15 SE +/- 0.13, N = 6 11.83 1. (CXX) g++ options: -O3 -pthread -lm
LeelaChessZero Backend: BLAS OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: BLAS Ryzen 9 3950X + GTX 1080 80 160 240 320 400 SE +/- 4.56, N = 5 386 1. (CXX) g++ options: -flto -pthread
LeelaChessZero Backend: Eigen OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Eigen Ryzen 9 3950X + GTX 1080 90 180 270 360 450 SE +/- 6.17, N = 3 397 1. (CXX) g++ options: -flto -pthread
LeelaChessZero Backend: OpenCL OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: OpenCL Ryzen 9 3950X + GTX 1080 2K 4K 6K 8K 10K SE +/- 40.45, N = 3 10595 1. (CXX) g++ options: -flto -pthread
LeelaChessZero Backend: Random OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Random Ryzen 9 3950X + GTX 1080 50K 100K 150K 200K 250K SE +/- 154.68, N = 3 230785 1. (CXX) g++ options: -flto -pthread
Mobile Neural Network Model: SqueezeNetV1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 Ryzen 9 3950X + GTX 1080 2 4 6 8 10 SE +/- 0.077, N = 3 7.885 MIN: 7.55 / MAX: 18.55 1. (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
Mobile Neural Network Model: resnet-v2-50 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: resnet-v2-50 Ryzen 9 3950X + GTX 1080 9 18 27 36 45 SE +/- 0.15, N = 3 41.50 MIN: 38.88 / MAX: 52.09 1. (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
Mobile Neural Network Model: MobileNetV2_224 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: MobileNetV2_224 Ryzen 9 3950X + GTX 1080 1.2341 2.4682 3.7023 4.9364 6.1705 SE +/- 0.062, N = 3 5.485 MIN: 5.15 / MAX: 13.19 1. (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
Mobile Neural Network Model: mobilenet-v1-1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: mobilenet-v1-1.0 Ryzen 9 3950X + GTX 1080 2 4 6 8 10 SE +/- 0.147, N = 3 7.368 MIN: 6.78 / MAX: 18.4 1. (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
Mobile Neural Network Model: inception-v3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: inception-v3 Ryzen 9 3950X + GTX 1080 8 16 24 32 40 SE +/- 0.09, N = 3 36.27 MIN: 34.9 / MAX: 71.26 1. (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
Monte Carlo Simulations of Ionised Nebulae Input: Dust 2D tau100.0 OpenBenchmarking.org Seconds, Fewer Is Better Monte Carlo Simulations of Ionised Nebulae 2019-03-24 Input: Dust 2D tau100.0 Ryzen 9 3950X + GTX 1080 40 80 120 160 200 199 1. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
NAMD ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms Ryzen 9 3950X + GTX 1080 0.2671 0.5342 0.8013 1.0684 1.3355 SE +/- 0.01703, N = 3 1.18729
NAMD CUDA ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD CUDA 2.14 ATPase Simulation - 327,506 Atoms Ryzen 9 3950X + GTX 1080 0.0463 0.0926 0.1389 0.1852 0.2315 SE +/- 0.00198, N = 3 0.20582
NCNN Target: CPU - Model: squeezenet_int8 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet_int8 Ryzen 9 3950X + GTX 1080 3 6 9 12 15 SE +/- 0.05, N = 3 12.27 MIN: 12.1 / MAX: 18.38 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: mobilenet_v3 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet_v3 Ryzen 9 3950X + GTX 1080 1.1768 2.3536 3.5304 4.7072 5.884 SE +/- 0.06, N = 3 5.23 MIN: 5.05 / MAX: 7.2 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: squeezenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet Ryzen 9 3950X + GTX 1080 1.1318 2.2636 3.3954 4.5272 5.659 SE +/- 0.06, N = 3 5.03 MIN: 4.89 / MAX: 5.94 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: mnasnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet Ryzen 9 3950X + GTX 1080 1.1723 2.3446 3.5169 4.6892 5.8615 SE +/- 0.03, N = 3 5.21 MIN: 5.06 / MAX: 6.06 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: blazeface OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface Ryzen 9 3950X + GTX 1080 0.4455 0.891 1.3365 1.782 2.2275 SE +/- 0.02, N = 3 1.98 MIN: 1.93 / MAX: 2.2 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: googlenet_int8 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet_int8 Ryzen 9 3950X + GTX 1080 8 16 24 32 40 SE +/- 0.32, N = 3 34.02 MIN: 33.01 / MAX: 35.84 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: vgg16_int8 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16_int8 Ryzen 9 3950X + GTX 1080 20 40 60 80 100 SE +/- 0.17, N = 3 86.90 MIN: 85.87 / MAX: 95.35 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: resnet18_int8 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18_int8 Ryzen 9 3950X + GTX 1080 4 8 12 16 20 SE +/- 0.05, N = 3 17.35 MIN: 16.17 / MAX: 27.19 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: alexnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet Ryzen 9 3950X + GTX 1080 4 8 12 16 20 SE +/- 0.05, N = 3 16.76 MIN: 16.51 / MAX: 18.34 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: resnet50_int8 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50_int8 Ryzen 9 3950X + GTX 1080 12 24 36 48 60 SE +/- 0.13, N = 3 51.47 MIN: 50.66 / MAX: 86.89 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: mobilenetv2_yolov3 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenetv2_yolov3 Ryzen 9 3950X + GTX 1080 4 8 12 16 20 SE +/- 0.24, N = 3 17.09 MIN: 16.59 / MAX: 26.89 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
perf-bench Benchmark: Epoll Wait OpenBenchmarking.org ops/sec, More Is Better perf-bench Benchmark: Epoll Wait Ryzen 9 3950X + GTX 1080 7K 14K 21K 28K 35K SE +/- 101.57, N = 3 33237 1. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lcrypto -lz -lnuma
perf-bench Benchmark: Futex Hash OpenBenchmarking.org ops/sec, More Is Better perf-bench Benchmark: Futex Hash Ryzen 9 3950X + GTX 1080 1.1M 2.2M 3.3M 4.4M 5.5M SE +/- 6316.65, N = 3 5065034 1. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lcrypto -lz -lnuma
perf-bench Benchmark: Memcpy 1MB OpenBenchmarking.org GB/sec, More Is Better perf-bench Benchmark: Memcpy 1MB Ryzen 9 3950X + GTX 1080 4 8 12 16 20 SE +/- 0.35, N = 14 16.45 1. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lcrypto -lz -lnuma
perf-bench Benchmark: Memset 1MB OpenBenchmarking.org GB/sec, More Is Better perf-bench Benchmark: Memset 1MB Ryzen 9 3950X + GTX 1080 16 32 48 64 80 SE +/- 0.93, N = 3 73.85 1. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lcrypto -lz -lnuma
perf-bench Benchmark: Sched Pipe OpenBenchmarking.org ops/sec, More Is Better perf-bench Benchmark: Sched Pipe Ryzen 9 3950X + GTX 1080 80K 160K 240K 320K 400K SE +/- 2963.44, N = 3 391159 1. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lcrypto -lz -lnuma
perf-bench Benchmark: Futex Lock-Pi OpenBenchmarking.org ops/sec, More Is Better perf-bench Benchmark: Futex Lock-Pi Ryzen 9 3950X + GTX 1080 100 200 300 400 500 SE +/- 6.84, N = 3 472 1. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lcrypto -lz -lnuma
perf-bench Benchmark: Syscall Basic OpenBenchmarking.org ops/sec, More Is Better perf-bench Benchmark: Syscall Basic Ryzen 9 3950X + GTX 1080 5M 10M 15M 20M 25M SE +/- 299165.74, N = 3 22203152 1. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lcrypto -lz -lnuma
RedShift Demo OpenBenchmarking.org Seconds, Fewer Is Better RedShift Demo 3.0 Ryzen 9 3950X + GTX 1080 160 320 480 640 800 SE +/- 0.88, N = 3 744
TensorFlow Lite Model: SqueezeNet OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet Ryzen 9 3950X + GTX 1080 20K 40K 60K 80K 100K SE +/- 89.84, N = 3 101203
TensorFlow Lite Model: Inception V4 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 Ryzen 9 3950X + GTX 1080 300K 600K 900K 1200K 1500K SE +/- 570.47, N = 3 1443630
TensorFlow Lite Model: NASNet Mobile OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile Ryzen 9 3950X + GTX 1080 30K 60K 90K 120K 150K SE +/- 600.62, N = 3 118879
TensorFlow Lite Model: Mobilenet Float OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float Ryzen 9 3950X + GTX 1080 14K 28K 42K 56K 70K SE +/- 53.88, N = 3 67096.2
TensorFlow Lite Model: Mobilenet Quant OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Ryzen 9 3950X + GTX 1080 15K 30K 45K 60K 75K SE +/- 9.01, N = 3 69241.4
TensorFlow Lite Model: Inception ResNet V2 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Ryzen 9 3950X + GTX 1080 300K 600K 900K 1200K 1500K SE +/- 456.30, N = 3 1299443
Phoronix Test Suite v10.8.4