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 Ryzen 9 3950X + GTX 1080 Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: NVIDIA GeForce GTX 1080 8GB (1607/5005MHz), Audio: NVIDIA GP104 HD Audio, Monitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 20.04, Kernel: 5.4.0-47-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 450.66, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.0.228 + OpenCL 2.0 AMD-APP (3182.0), Vulkan: 1.2.133, Compiler: GCC 9.3.0 + CUDA 11.0, File-System: ext4, Screen Resolution: 3840x2160
Compiler Notes: --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701013OpenCL Notes: GPU Compute Cores: 2560Python Notes: Python 3.8.2Security Notes: 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 OpenBenchmarking.org Phoronix Test Suite 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 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 Master Benchmarks System 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 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 perf-bench: Memcpy 1MB perf-bench: Memset 1MB hashcat: MD5 hashcat: SHA1 hashcat: 7-Zip hashcat: SHA-512 hashcat: TrueCrypt RIPEMD160 + XTS lczero: BLAS lczero: Eigen lczero: OpenCL lczero: Rand gromacs-gpu: Water Benchmark lammps: 20k Atoms lammps: Rhodopsin Protein perf-bench: Epoll Wait perf-bench: Futex Hash perf-bench: Sched Pipe perf-bench: Futex Lock-Pi perf-bench: Syscall Basic 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 namd-cuda: ATPase Simulation - 327,506 Atoms namd: ATPase Simulation - 327,506 Atoms tensorflow-lite: SqueezeNet tensorflow-lite: Inception V4 tensorflow-lite: NASNet Mobile tensorflow-lite: Mobilenet Float tensorflow-lite: Mobilenet Quant tensorflow-lite: Inception ResNet V2 mnn: SqueezeNetV1.0 mnn: resnet-v2-50 mnn: MobileNetV2_224 mnn: mobilenet-v1-1.0 mnn: inception-v3 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 redshift: incompact3d: Cylinder mocassin: Dust 2D tau100.0 gpaw: Carbon Nanotube 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 Ryzen 9 3950X + GTX 1080 0.35 2.71 19.26 4.20 37.83 16.454336 73.849676 26536233333 8842733333 382400 1091566667 285633 386 397 10595 230785 4.658 12.072 11.831 33237 5065034 391159 472 22203152 12934 11407 9542 8128 8069 7575 5948 3434 0.20582 1.18729 101203 1443630 118879 67096.2 69241.4 1299443 7.885 41.496 5.485 7.368 36.273 12.27 5.23 5.03 5.21 1.98 34.02 86.90 17.35 16.76 51.47 17.09 744 212.503265 199 315.143 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 OpenBenchmarking.org
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
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
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
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
perf-bench 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
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 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
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
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
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
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
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.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
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.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
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.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
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
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
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
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
NCNN 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
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
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
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
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
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
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
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
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
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
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
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.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
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.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
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.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
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
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
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
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
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
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
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
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
Ryzen 9 3950X + GTX 1080 Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: NVIDIA GeForce GTX 1080 8GB (1607/5005MHz), Audio: NVIDIA GP104 HD Audio, Monitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 20.04, Kernel: 5.4.0-47-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 450.66, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.0.228 + OpenCL 2.0 AMD-APP (3182.0), Vulkan: 1.2.133, Compiler: GCC 9.3.0 + CUDA 11.0, File-System: ext4, Screen Resolution: 3840x2160
Compiler Notes: --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701013OpenCL Notes: GPU Compute Cores: 2560Python Notes: Python 3.8.2Security Notes: 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
Testing initiated at 19 September 2020 20:37 by user phoronix.