Extra tests for a future article.
Ryzen 9 5900X Processor: AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,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 performance - CPU Microcode: 0xa201009Python Notes: Python 2.7.18 + Python 3.8.5Security 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Ryzen 9 5950X 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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,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: 0xa201009Python Notes: Python 2.7.18 + Python 3.8.5Security 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
AMD Ryzen 9 5950X AMD 5950X Changed Processor to AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads) .
AMD Ryzen 9 5900X AMD 5900X Changed Processor to AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads) .
Ryzen 7 3800XT Changed Processor to AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads) .
Processor Change: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021Security Change: 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 5 3600X Changed Processor to AMD Ryzen 5 3600X 6-Core @ 3.80GHz (6 Cores / 12 Threads) .
Processor Change: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701021Security Change: 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 5 2600X Changed Processor to AMD Ryzen 5 2600X Six-Core @ 3.60GHz (6 Cores / 12 Threads) .
Changed Chipset to AMD 17h .
Processor Change: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x800820dSecurity Change: 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Ryzen 5 2600 Changed Processor to AMD Ryzen 5 2600 Six-Core @ 3.40GHz (6 Cores / 12 Threads) .
Core i5 10600K Processor: Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads) , Motherboard: ASUS PRIME Z490M-PLUS (1001 BIOS) , Chipset: Intel Comet Lake PCH , Memory: 32GB , Disk: 2000GB Corsair Force MP600 , Graphics: ASUS Intel UHD 630 3GB (1200MHz) , Audio: Realtek ALC887-VD , Monitor: ASUS MG28U, Network: Intel
OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa), Vulkan: 1.2.145, Compiler: GCC 9.3.0, 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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,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: intel_pstate powersave - CPU Microcode: 0xc8 - Thermald 1.9.1Python Notes: Python 2.7.18 + Python 3.8.5Security Notes: itlb_multihit: KVM: Mitigation of VMX unsupported + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: squeezenet Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X AMD 5900X Ryzen 9 5950X Ryzen 9 5900X 6 12 18 24 30 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 25.94 3.24 3.13 3.12 3.12 3.11 3.11 3.10 MIN: 25.61 / MAX: 26.16 MIN: 3.13 / MAX: 3.5 MIN: 3.05 / MAX: 12.06 MIN: 3.06 / MAX: 3.31 MIN: 3.06 / MAX: 3.49 MIN: 3.06 / MAX: 3.24 MIN: 3.06 / MAX: 3.31 MIN: 3.05 / MAX: 3.57 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: squeezenet Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X AMD 5900X Ryzen 9 5950X Ryzen 9 5900X 6 12 18 24 30 Min: 25.79 / Avg: 25.94 / Max: 26.05 Min: 3.21 / Avg: 3.24 / Max: 3.26 Min: 3.09 / Avg: 3.13 / Max: 3.18 Min: 3.1 / Avg: 3.12 / Max: 3.13 Min: 3.11 / Avg: 3.12 / Max: 3.12 Min: 3.1 / Avg: 3.11 / Max: 3.11 Min: 3.1 / Avg: 3.11 / Max: 3.12 Min: 3.1 / Avg: 3.1 / Max: 3.11 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
LULESH LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org z/s, More Is Better LULESH 2.0.3 AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X Ryzen 7 3800XT Core i5 10600K 160 320 480 640 800 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 10.92, N = 3 10.58 10.61 10.66 10.66 10.75 10.77 10.94 746.76 1. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
Result Confidence
OpenBenchmarking.org z/s, More Is Better LULESH 2.0.3 AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X Ryzen 7 3800XT Core i5 10600K 130 260 390 520 650 Min: 10.57 / Avg: 10.58 / Max: 10.59 Min: 10.6 / Avg: 10.61 / Max: 10.61 Min: 10.65 / Avg: 10.66 / Max: 10.67 Min: 10.65 / Avg: 10.66 / Max: 10.66 Min: 10.74 / Avg: 10.75 / Max: 10.75 Min: 10.76 / Avg: 10.77 / Max: 10.77 Min: 10.93 / Avg: 10.94 / Max: 10.96 Min: 735.52 / Avg: 746.76 / Max: 768.59 1. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5900X AMD 5950X 13 26 39 52 65 SE +/- 1.19, N = 3 SE +/- 0.00, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 55.67 8.27 7.27 7.26 7.23 7.23 7.20 7.20 MIN: 53.28 / MAX: 58.8 MIN: 8.2 / MAX: 9.54 MIN: 7.11 / MAX: 34.82 MIN: 7.14 / MAX: 12.57 MIN: 7.13 / MAX: 7.47 MIN: 7.19 / MAX: 7.44 MIN: 7.12 / MAX: 7.39 MIN: 7.15 / MAX: 7.44 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5900X AMD 5950X 11 22 33 44 55 Min: 54.29 / Avg: 55.67 / Max: 58.03 Min: 8.27 / Avg: 8.27 / Max: 8.28 Min: 7.18 / Avg: 7.27 / Max: 7.42 Min: 7.2 / Avg: 7.26 / Max: 7.31 Min: 7.18 / Avg: 7.23 / Max: 7.25 Min: 7.22 / Avg: 7.23 / Max: 7.25 Min: 7.17 / Avg: 7.2 / Max: 7.23 Min: 7.19 / Avg: 7.2 / Max: 7.21 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 1.018 2.036 3.054 4.072 5.09 SE +/- 0.002355, N = 3 SE +/- 0.009327, N = 3 SE +/- 0.006141, N = 3 SE +/- 0.000978, N = 3 SE +/- 0.000940, N = 3 SE +/- 0.001079, N = 3 SE +/- 0.001127, N = 3 SE +/- 0.000555, N = 3 4.524440 3.301860 0.817971 0.771906 0.770247 0.673742 0.673391 0.669926 MIN: 4.39 MIN: 3.22 MIN: 0.75 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 2 4 6 8 10 Min: 4.52 / Avg: 4.52 / Max: 4.53 Min: 3.28 / Avg: 3.3 / Max: 3.32 Min: 0.81 / Avg: 0.82 / Max: 0.83 Min: 0.77 / Avg: 0.77 / Max: 0.77 Min: 0.77 / Avg: 0.77 / Max: 0.77 Min: 0.67 / Avg: 0.67 / Max: 0.68 Min: 0.67 / Avg: 0.67 / Max: 0.68 Min: 0.67 / Avg: 0.67 / Max: 0.67 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: googlenet Core i5 10600K AMD 5950X Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5900X 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 22.07 3.97 3.89 3.89 3.87 3.87 3.86 3.84 MIN: 21.32 / MAX: 22.28 MIN: 3.81 / MAX: 14.78 MIN: 3.82 / MAX: 4.43 MIN: 3.81 / MAX: 4.55 MIN: 3.8 / MAX: 4.41 MIN: 3.81 / MAX: 4.38 MIN: 3.8 / MAX: 4.4 MIN: 3.8 / MAX: 4.4 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: googlenet Core i5 10600K AMD 5950X Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5900X 5 10 15 20 25 Min: 22.03 / Avg: 22.07 / Max: 22.1 Min: 3.86 / Avg: 3.97 / Max: 4.16 Min: 3.84 / Avg: 3.89 / Max: 3.98 Min: 3.84 / Avg: 3.89 / Max: 3.97 Min: 3.87 / Avg: 3.87 / Max: 3.88 Min: 3.86 / Avg: 3.87 / Max: 3.89 Min: 3.83 / Avg: 3.86 / Max: 3.9 Min: 3.83 / Avg: 3.84 / Max: 3.86 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X AMD 5950X Ryzen 9 5950X Ryzen 9 5900X 3 6 9 12 15 SE +/- 0.36, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 9.26 1.93 1.89 1.86 1.86 1.86 1.86 1.86 MIN: 5.65 / MAX: 11.49 MIN: 1.91 / MAX: 2.2 MIN: 1.83 / MAX: 2.12 MIN: 1.82 / MAX: 2.75 MIN: 1.82 / MAX: 2.23 MIN: 1.82 / MAX: 2.21 MIN: 1.82 / MAX: 2.02 MIN: 1.82 / MAX: 2.07 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X AMD 5950X Ryzen 9 5950X Ryzen 9 5900X 3 6 9 12 15 Min: 8.68 / Avg: 9.26 / Max: 9.92 Min: 1.93 / Avg: 1.93 / Max: 1.93 Min: 1.84 / Avg: 1.89 / Max: 1.92 Min: 1.83 / Avg: 1.86 / Max: 1.91 Min: 1.83 / Avg: 1.86 / Max: 1.92 Min: 1.84 / Avg: 1.86 / Max: 1.91 Min: 1.83 / Avg: 1.86 / Max: 1.91 Min: 1.83 / Avg: 1.86 / Max: 1.93 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: alexnet Core i5 10600K Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X Ryzen 7 3800XT AMD 5900X Ryzen 9 5900X 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 23.39 5.32 5.31 5.30 5.27 5.26 5.26 5.26 MIN: 22.9 / MAX: 23.83 MIN: 5.06 / MAX: 18.82 MIN: 5.05 / MAX: 19.98 MIN: 5.03 / MAX: 10.61 MIN: 5.04 / MAX: 10.99 MIN: 5.03 / MAX: 5.75 MIN: 5.01 / MAX: 9.33 MIN: 4.99 / MAX: 6.73 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: alexnet Core i5 10600K Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X Ryzen 7 3800XT AMD 5900X Ryzen 9 5900X 5 10 15 20 25 Min: 23.38 / Avg: 23.39 / Max: 23.4 Min: 5.28 / Avg: 5.32 / Max: 5.39 Min: 5.26 / Avg: 5.31 / Max: 5.4 Min: 5.27 / Avg: 5.3 / Max: 5.33 Min: 5.25 / Avg: 5.27 / Max: 5.31 Min: 5.25 / Avg: 5.26 / Max: 5.27 Min: 5.25 / Avg: 5.26 / Max: 5.28 Min: 5.25 / Avg: 5.26 / Max: 5.26 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mobilenet Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5950X 6 12 18 24 30 SE +/- 0.41, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 23.64 6.55 5.99 5.96 5.93 5.59 5.59 5.56 MIN: 22.61 / MAX: 26.99 MIN: 6.48 / MAX: 6.95 MIN: 5.92 / MAX: 9.14 MIN: 5.59 / MAX: 6.09 MIN: 5.52 / MAX: 6.15 MIN: 4.96 / MAX: 5.98 MIN: 5.17 / MAX: 5.97 MIN: 5.38 / MAX: 5.9 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mobilenet Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5950X 6 12 18 24 30 Min: 22.82 / Avg: 23.64 / Max: 24.11 Min: 6.54 / Avg: 6.55 / Max: 6.56 Min: 5.96 / Avg: 5.99 / Max: 6.02 Min: 5.92 / Avg: 5.96 / Max: 5.99 Min: 5.92 / Avg: 5.93 / Max: 5.96 Min: 5.49 / Avg: 5.59 / Max: 5.66 Min: 5.51 / Avg: 5.59 / Max: 5.64 Min: 5.54 / Avg: 5.56 / Max: 5.57 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X 30 60 90 120 150 SE +/- 0.50, N = 3 SE +/- 0.27, N = 3 SE +/- 0.07, N = 3 SE +/- 0.22, N = 3 SE +/- 0.15, N = 3 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.10, N = 3 121.09 47.59 32.40 31.30 30.58 30.53 29.83 29.58 MIN: 119.87 MIN: 46.54 MIN: 29.33 MIN: 30.53 MIN: 29.83 MIN: 29.87 MIN: 28.96 MIN: 28.74 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X 20 40 60 80 100 Min: 120.48 / Avg: 121.09 / Max: 122.08 Min: 47.25 / Avg: 47.59 / Max: 48.13 Min: 32.27 / Avg: 32.4 / Max: 32.49 Min: 31.08 / Avg: 31.3 / Max: 31.74 Min: 30.39 / Avg: 30.58 / Max: 30.88 Min: 30.35 / Avg: 30.53 / Max: 30.65 Min: 29.64 / Avg: 29.83 / Max: 30.09 Min: 29.44 / Avg: 29.58 / Max: 29.76 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X Ryzen 9 5900X 2 4 6 8 10 SE +/- 0.07, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 7.86 2.21 2.19 2.19 2.19 2.19 2.19 2.16 MIN: 7.1 / MAX: 8.25 MIN: 2.18 / MAX: 2.5 MIN: 2.16 / MAX: 2.35 MIN: 2.16 / MAX: 3.23 MIN: 2.16 / MAX: 2.69 MIN: 2.16 / MAX: 2.43 MIN: 2.16 / MAX: 2.47 MIN: 2.08 / MAX: 2.45 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X Ryzen 9 5900X 3 6 9 12 15 Min: 7.75 / Avg: 7.86 / Max: 7.99 Min: 2.21 / Avg: 2.21 / Max: 2.21 Min: 2.18 / Avg: 2.19 / Max: 2.19 Min: 2.19 / Avg: 2.19 / Max: 2.2 Min: 2.19 / Avg: 2.19 / Max: 2.19 Min: 2.19 / Avg: 2.19 / Max: 2.2 Min: 2.19 / Avg: 2.19 / Max: 2.19 Min: 2.11 / Avg: 2.16 / Max: 2.19 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mnasnet Core i5 10600K AMD 5950X AMD Ryzen 9 5950X Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X Ryzen 9 5950X 2 4 6 8 10 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 8.09 2.32 2.32 2.31 2.30 2.30 2.29 2.29 MIN: 7.6 / MAX: 8.29 MIN: 2.26 / MAX: 8.04 MIN: 2.27 / MAX: 11.51 MIN: 2.28 / MAX: 2.64 MIN: 2.26 / MAX: 2.92 MIN: 2.26 / MAX: 2.52 MIN: 2.26 / MAX: 2.46 MIN: 2.26 / MAX: 2.45 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mnasnet Core i5 10600K AMD 5950X AMD Ryzen 9 5950X Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X Ryzen 9 5950X 3 6 9 12 15 Min: 8.05 / Avg: 8.09 / Max: 8.12 Min: 2.3 / Avg: 2.32 / Max: 2.37 Min: 2.29 / Avg: 2.32 / Max: 2.38 Min: 2.31 / Avg: 2.31 / Max: 2.32 Min: 2.29 / Avg: 2.3 / Max: 2.3 Min: 2.29 / Avg: 2.3 / Max: 2.31 Min: 2.29 / Avg: 2.29 / Max: 2.3 Min: 2.29 / Avg: 2.29 / Max: 2.29 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 1.1124 2.2248 3.3372 4.4496 5.562 SE +/- 0.00486, N = 3 SE +/- 0.03038, N = 13 SE +/- 0.01459, N = 3 SE +/- 0.00059, N = 3 SE +/- 0.00168, N = 3 SE +/- 0.00064, N = 3 SE +/- 0.00081, N = 3 SE +/- 0.00012, N = 3 4.94415 3.98727 1.88107 1.80364 1.80035 1.50497 1.50487 1.50345 MIN: 4.82 MIN: 3.92 MIN: 1.74 MIN: 1.74 MIN: 1.74 MIN: 1.43 MIN: 1.43 MIN: 1.41 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 2 4 6 8 10 Min: 4.94 / Avg: 4.94 / Max: 4.95 Min: 3.95 / Avg: 3.99 / Max: 4.35 Min: 1.86 / Avg: 1.88 / Max: 1.91 Min: 1.8 / Avg: 1.8 / Max: 1.8 Min: 1.8 / Avg: 1.8 / Max: 1.8 Min: 1.5 / Avg: 1.5 / Max: 1.51 Min: 1.5 / Avg: 1.5 / Max: 1.51 Min: 1.5 / Avg: 1.5 / Max: 1.5 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
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.
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 800K 1600K 2400K 3200K 4000K SE +/- 1422.33, N = 3 SE +/- 127.06, N = 3 SE +/- 597.39, N = 3 SE +/- 156.24, N = 3 SE +/- 652.82, N = 3 SE +/- 752.48, N = 3 SE +/- 922.62, N = 3 SE +/- 1059.03, N = 3 3931423 2350757 1600007 1595777 1595713 1212200 1210020 1204653
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 700K 1400K 2100K 2800K 3500K Min: 3928580 / Avg: 3931423.33 / Max: 3932920 Min: 2350540 / Avg: 2350756.67 / Max: 2350980 Min: 1598900 / Avg: 1600006.67 / Max: 1600950 Min: 1595480 / Avg: 1595776.67 / Max: 1596010 Min: 1594560 / Avg: 1595713.33 / Max: 1596820 Min: 1210990 / Avg: 1212200 / Max: 1213580 Min: 1208190 / Avg: 1210020 / Max: 1211140 Min: 1202600 / Avg: 1204653.33 / Max: 1206130
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 40K 80K 120K 160K 200K SE +/- 29.61, N = 3 SE +/- 31.18, N = 3 SE +/- 12.11, N = 3 SE +/- 51.41, N = 3 SE +/- 22.20, N = 3 SE +/- 26.95, N = 3 SE +/- 56.55, N = 3 SE +/- 50.63, N = 3 202394.0 120736.0 83535.4 83452.4 83302.5 62552.8 62536.6 62124.1
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 40K 80K 120K 160K 200K Min: 202349 / Avg: 202394.33 / Max: 202450 Min: 120682 / Avg: 120736 / Max: 120790 Min: 83513.8 / Avg: 83535.43 / Max: 83555.7 Min: 83349.6 / Avg: 83452.4 / Max: 83505.8 Min: 83262.9 / Avg: 83302.47 / Max: 83339.7 Min: 62499.3 / Avg: 62552.77 / Max: 62585.4 Min: 62423.8 / Avg: 62536.63 / Max: 62599.7 Min: 62024.1 / Avg: 62124.07 / Max: 62188
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 900K 1800K 2700K 3600K 4500K SE +/- 863.82, N = 3 SE +/- 795.87, N = 3 SE +/- 404.15, N = 3 SE +/- 967.30, N = 3 SE +/- 184.15, N = 3 SE +/- 19648.57, N = 3 SE +/- 825.97, N = 3 SE +/- 551.19, N = 3 4354007 2599633 1781840 1777523 1776663 1368033 1345440 1337993
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 800K 1600K 2400K 3200K 4000K Min: 4352280 / Avg: 4354006.67 / Max: 4354920 Min: 2598100 / Avg: 2599633.33 / Max: 2600770 Min: 1781340 / Avg: 1781840 / Max: 1782640 Min: 1775870 / Avg: 1777523.33 / Max: 1779220 Min: 1776310 / Avg: 1776663.33 / Max: 1776930 Min: 1345890 / Avg: 1368033.33 / Max: 1407220 Min: 1343820 / Avg: 1345440 / Max: 1346530 Min: 1336970 / Avg: 1337993.33 / Max: 1338860
ACES DGEMM This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org GFLOP/s, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 3 6 9 12 15 SE +/- 0.040049, N = 4 SE +/- 0.027265, N = 3 SE +/- 0.113848, N = 3 SE +/- 0.088412, N = 3 SE +/- 0.100813, N = 3 SE +/- 0.108214, N = 3 SE +/- 0.078688, N = 3 SE +/- 0.094386, N = 3 2.828116 2.972922 6.768196 7.359919 7.565677 8.988626 9.108389 9.180432 1. (CC) gcc options: -O3 -march=native -fopenmp
Result Confidence
OpenBenchmarking.org GFLOP/s, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 3 6 9 12 15 Min: 2.72 / Avg: 2.83 / Max: 2.91 Min: 2.92 / Avg: 2.97 / Max: 3.01 Min: 6.64 / Avg: 6.77 / Max: 7 Min: 7.21 / Avg: 7.36 / Max: 7.52 Min: 7.36 / Avg: 7.57 / Max: 7.67 Min: 8.8 / Avg: 8.99 / Max: 9.18 Min: 8.97 / Avg: 9.11 / Max: 9.24 Min: 8.99 / Avg: 9.18 / Max: 9.3 1. (CC) gcc options: -O3 -march=native -fopenmp
QMCPACK QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Total Execution Time - Seconds, Fewer Is Better QMCPACK 3.8 AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X Core i5 10600K Ryzen 7 3800XT Ryzen 5 2600 300 600 900 1200 1500 1167.30 1167.20 1163.30 838.52 832.19 831.02 605.78 577.33 359.84 1. (CXX) g++ options: -fopenmp -fomit-frame-pointer -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -march=native -O3 -ffast-math -lm
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.
Result
OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms Ryzen 5 2600 Ryzen 5 2600X Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 0.776 1.552 2.328 3.104 3.88 SE +/- 0.00095, N = 3 SE +/- 0.00220, N = 3 SE +/- 0.00119, N = 3 SE +/- 0.00315, N = 3 SE +/- 0.01127, N = 3 SE +/- 0.00318, N = 3 SE +/- 0.00097, N = 3 SE +/- 0.00424, N = 3 SE +/- 0.00400, N = 3 SE +/- 0.00199, N = 3 3.44905 3.15843 2.10989 2.08884 1.32551 1.28274 1.27409 1.07885 1.07880 1.07032
Result Confidence
OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms Ryzen 5 2600 Ryzen 5 2600X Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 2 4 6 8 10 Min: 3.45 / Avg: 3.45 / Max: 3.45 Min: 3.15 / Avg: 3.16 / Max: 3.16 Min: 2.11 / Avg: 2.11 / Max: 2.11 Min: 2.08 / Avg: 2.09 / Max: 2.09 Min: 1.31 / Avg: 1.33 / Max: 1.35 Min: 1.28 / Avg: 1.28 / Max: 1.29 Min: 1.27 / Avg: 1.27 / Max: 1.28 Min: 1.07 / Avg: 1.08 / Max: 1.08 Min: 1.07 / Avg: 1.08 / Max: 1.09 Min: 1.07 / Avg: 1.07 / Max: 1.07
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.
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 60K 120K 180K 240K 300K SE +/- 11.72, N = 3 SE +/- 84.11, N = 3 SE +/- 87.08, N = 3 SE +/- 93.43, N = 3 SE +/- 88.75, N = 3 SE +/- 79.62, N = 3 SE +/- 84.16, N = 3 SE +/- 78.14, N = 3 296361.0 180275.0 123294.0 122881.0 122810.0 94677.1 94456.9 93933.1
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 50K 100K 150K 200K 250K Min: 296343 / Avg: 296361 / Max: 296383 Min: 180115 / Avg: 180275 / Max: 180400 Min: 123128 / Avg: 123293.67 / Max: 123423 Min: 122707 / Avg: 122881 / Max: 123027 Min: 122669 / Avg: 122810.33 / Max: 122974 Min: 94525.4 / Avg: 94677.1 / Max: 94794.9 Min: 94293.8 / Avg: 94456.93 / Max: 94574.4 Min: 93789.1 / Avg: 93933.1 / Max: 94057.7
C-Ray This is a test of C-Ray, a simple raytracer designed to test the floating-point CPU performance. This test is multi-threaded (16 threads per core), will shoot 8 rays per pixel for anti-aliasing, and will generate a 1600 x 1200 image. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better C-Ray 1.1 Total Time - 4K, 16 Rays Per Pixel Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 94.67 59.99 37.91 37.78 37.73 30.20 30.19 30.10 1. (CC) gcc options: -lm -lpthread -O3
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better C-Ray 1.1 Total Time - 4K, 16 Rays Per Pixel Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 20 40 60 80 100 Min: 94.63 / Avg: 94.67 / Max: 94.74 Min: 59.97 / Avg: 59.99 / Max: 60 Min: 37.81 / Avg: 37.91 / Max: 38.06 Min: 37.74 / Avg: 37.78 / Max: 37.83 Min: 37.66 / Avg: 37.73 / Max: 37.77 Min: 30.07 / Avg: 30.2 / Max: 30.32 Min: 30.11 / Avg: 30.19 / Max: 30.25 Min: 30.02 / Avg: 30.1 / Max: 30.18 1. (CC) gcc options: -lm -lpthread -O3
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: blazeface Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5950X Ryzen 9 5950X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD 5950X 0.5355 1.071 1.6065 2.142 2.6775 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 2.38 0.78 0.78 0.78 0.78 0.77 0.77 0.77 MIN: 2.11 / MAX: 2.72 MIN: 0.76 / MAX: 1.28 MIN: 0.75 / MAX: 1.17 MIN: 0.76 / MAX: 1.16 MIN: 0.76 / MAX: 2.24 MIN: 0.75 / MAX: 1.15 MIN: 0.75 / MAX: 1.15 MIN: 0.76 / MAX: 1.16 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: blazeface Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5950X Ryzen 9 5950X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD 5950X 2 4 6 8 10 Min: 2.26 / Avg: 2.38 / Max: 2.47 Min: 0.77 / Avg: 0.78 / Max: 0.79 Min: 0.76 / Avg: 0.78 / Max: 0.79 Min: 0.78 / Avg: 0.78 / Max: 0.79 Min: 0.77 / Avg: 0.78 / Max: 0.79 Min: 0.76 / Avg: 0.77 / Max: 0.78 Min: 0.77 / Avg: 0.77 / Max: 0.77 Min: 0.77 / Avg: 0.77 / Max: 0.78 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Mlpack Benchmark Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_linearridgeregression Core i5 10600K Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X Ryzen 7 3800XT 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 6.62 2.59 2.57 2.55 2.30 2.28 2.28 2.16
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_linearridgeregression Core i5 10600K Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X Ryzen 7 3800XT 3 6 9 12 15 Min: 6.61 / Avg: 6.62 / Max: 6.65 Min: 2.56 / Avg: 2.59 / Max: 2.61 Min: 2.56 / Avg: 2.57 / Max: 2.58 Min: 2.53 / Avg: 2.55 / Max: 2.57 Min: 2.29 / Avg: 2.3 / Max: 2.3 Min: 2.27 / Avg: 2.28 / Max: 2.3 Min: 2.28 / Avg: 2.28 / Max: 2.29 Min: 2.14 / Avg: 2.16 / Max: 2.18
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 0.5555 1.111 1.6665 2.222 2.7775 SE +/- 0.002553, N = 3 SE +/- 0.001975, N = 3 SE +/- 0.003773, N = 3 SE +/- 0.004098, N = 3 SE +/- 0.004610, N = 3 SE +/- 0.002416, N = 3 SE +/- 0.000234, N = 3 SE +/- 0.001882, N = 3 2.468730 2.006200 1.101960 1.046110 1.043020 0.810491 0.810341 0.807091 MIN: 2.42 MIN: 1.95 MIN: 1.02 MIN: 1.01 MIN: 1.01 MIN: 0.77 MIN: 0.77 MIN: 0.76 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 2 4 6 8 10 Min: 2.47 / Avg: 2.47 / Max: 2.47 Min: 2 / Avg: 2.01 / Max: 2.01 Min: 1.09 / Avg: 1.1 / Max: 1.11 Min: 1.04 / Avg: 1.05 / Max: 1.05 Min: 1.03 / Avg: 1.04 / Max: 1.05 Min: 0.81 / Avg: 0.81 / Max: 0.82 Min: 0.81 / Avg: 0.81 / Max: 0.81 Min: 0.8 / Avg: 0.81 / Max: 0.81 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Exhaustive Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 70 140 210 280 350 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 SE +/- 0.27, N = 3 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 SE +/- 0.12, N = 3 SE +/- 0.14, N = 3 306.58 200.02 122.05 121.94 121.69 100.93 100.82 100.29 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Exhaustive Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 60 120 180 240 300 Min: 306.38 / Avg: 306.58 / Max: 306.81 Min: 199.85 / Avg: 200.02 / Max: 200.11 Min: 121.76 / Avg: 122.05 / Max: 122.23 Min: 121.58 / Avg: 121.94 / Max: 122.46 Min: 121.48 / Avg: 121.69 / Max: 121.82 Min: 100.68 / Avg: 100.93 / Max: 101.1 Min: 100.59 / Avg: 100.82 / Max: 100.95 Min: 100.02 / Avg: 100.29 / Max: 100.48 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
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.
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 40K 80K 120K 160K 200K SE +/- 3.18, N = 3 SE +/- 78.89, N = 3 SE +/- 28.54, N = 3 SE +/- 25.24, N = 3 SE +/- 53.00, N = 3 SE +/- 69.06, N = 3 SE +/- 28.01, N = 3 SE +/- 38.18, N = 3 205456.0 123621.0 91346.8 91186.1 91169.7 67911.3 67823.5 67448.0
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 40K 80K 120K 160K 200K Min: 205452 / Avg: 205455.67 / Max: 205462 Min: 123481 / Avg: 123621 / Max: 123754 Min: 91310.9 / Avg: 91346.83 / Max: 91403.2 Min: 91150.5 / Avg: 91186.1 / Max: 91234.9 Min: 91113.5 / Avg: 91169.67 / Max: 91275.6 Min: 67774.5 / Avg: 67911.27 / Max: 67996.4 Min: 67783.3 / Avg: 67823.53 / Max: 67877.4 Min: 67380.2 / Avg: 67448.03 / Max: 67512.3
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 8 16 24 32 40 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 35.37 28.17 13.94 13.37 13.35 11.77 11.74 11.62 MIN: 34.9 MIN: 27.57 MIN: 13.15 MIN: 13.04 MIN: 13.04 MIN: 11.29 MIN: 11.28 MIN: 11.06 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 8 16 24 32 40 Min: 35.35 / Avg: 35.37 / Max: 35.39 Min: 28.17 / Avg: 28.17 / Max: 28.17 Min: 13.79 / Avg: 13.93 / Max: 14.04 Min: 13.32 / Avg: 13.37 / Max: 13.39 Min: 13.33 / Avg: 13.35 / Max: 13.36 Min: 11.75 / Avg: 11.77 / Max: 11.8 Min: 11.72 / Avg: 11.74 / Max: 11.75 Min: 11.6 / Avg: 11.62 / Max: 11.65 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
CP2K Molecular Dynamics CP2K is an open-source molecular dynamics software package focused on quantum chemistry and solid-state physics. This test profile currently makes use of the OpenMP implementation and using the Fayalite-FIST molecular dynamics run and measures the total time to complete. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better CP2K Molecular Dynamics 6.1 Fayalite-FIST Data Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X Core i5 10600K Ryzen 5 2600 Ryzen 5 2600X Ryzen 7 3800XT 200 400 600 800 1000 933.69 849.14 840.46 689.96 651.07 621.56 601.45 578.04 506.76 308.38
YafaRay YafaRay is an open-source physically based montecarlo ray-tracing engine. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better YafaRay 3.4.1 Total Time For Sample Scene Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 40 80 120 160 200 SE +/- 0.59, N = 3 SE +/- 0.24, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.19, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.21, N = 3 198.60 134.45 79.85 79.73 79.58 66.38 65.99 65.90 1. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better YafaRay 3.4.1 Total Time For Sample Scene Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 40 80 120 160 200 Min: 197.44 / Avg: 198.6 / Max: 199.38 Min: 134 / Avg: 134.45 / Max: 134.78 Min: 79.82 / Avg: 79.85 / Max: 79.92 Min: 79.53 / Avg: 79.73 / Max: 79.83 Min: 79.29 / Avg: 79.57 / Max: 79.94 Min: 66.3 / Avg: 66.38 / Max: 66.44 Min: 65.78 / Avg: 65.99 / Max: 66.16 Min: 65.68 / Avg: 65.9 / Max: 66.31 1. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Thorough Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 38.00 25.13 15.41 15.38 15.38 12.81 12.78 12.71 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Thorough Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 8 16 24 32 40 Min: 37.99 / Avg: 38 / Max: 38.01 Min: 25.09 / Avg: 25.13 / Max: 25.16 Min: 15.36 / Avg: 15.41 / Max: 15.45 Min: 15.34 / Avg: 15.38 / Max: 15.41 Min: 15.32 / Avg: 15.38 / Max: 15.41 Min: 12.76 / Avg: 12.81 / Max: 12.85 Min: 12.74 / Avg: 12.78 / Max: 12.82 Min: 12.67 / Avg: 12.71 / Max: 12.74 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
IndigoBench This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.0.64 Scene: Bedroom Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 0.7099 1.4198 2.1297 2.8396 3.5495 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.011, N = 3 SE +/- 0.003, N = 3 SE +/- 0.006, N = 3 SE +/- 0.005, N = 3 SE +/- 0.004, N = 3 1.058 1.527 2.547 2.547 2.551 3.115 3.148 3.155
Result Confidence
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.0.64 Scene: Bedroom Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 2 4 6 8 10 Min: 1.06 / Avg: 1.06 / Max: 1.06 Min: 1.52 / Avg: 1.53 / Max: 1.53 Min: 2.54 / Avg: 2.55 / Max: 2.55 Min: 2.54 / Avg: 2.55 / Max: 2.57 Min: 2.55 / Avg: 2.55 / Max: 2.56 Min: 3.1 / Avg: 3.11 / Max: 3.12 Min: 3.14 / Avg: 3.15 / Max: 3.16 Min: 3.15 / Avg: 3.15 / Max: 3.16
Tachyon This is a test of the threaded Tachyon, a parallel ray-tracing system, measuring the time to ray-trace a sample scene. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Tachyon 0.99b6 Total Time Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 30 60 90 120 150 SE +/- 1.07, N = 12 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.27, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 SE +/- 0.15, N = 3 125.90 85.71 52.51 52.46 52.17 43.53 43.27 43.19 1. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Tachyon 0.99b6 Total Time Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 20 40 60 80 100 Min: 120.73 / Avg: 125.9 / Max: 135.69 Min: 85.53 / Avg: 85.71 / Max: 85.84 Min: 52.24 / Avg: 52.51 / Max: 52.66 Min: 52.12 / Avg: 52.46 / Max: 52.99 Min: 52.1 / Avg: 52.17 / Max: 52.21 Min: 43.36 / Avg: 43.53 / Max: 43.69 Min: 43.05 / Avg: 43.27 / Max: 43.39 Min: 42.99 / Avg: 43.19 / Max: 43.47 1. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Barbershop - Compute: CPU-Only Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 200 400 600 800 1000 SE +/- 0.20, N = 3 SE +/- 0.62, N = 3 SE +/- 0.61, N = 3 SE +/- 0.34, N = 3 SE +/- 0.77, N = 3 SE +/- 0.30, N = 3 SE +/- 0.83, N = 3 SE +/- 0.29, N = 3 869.42 615.59 367.90 367.67 367.60 300.29 299.62 299.11
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Barbershop - Compute: CPU-Only Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 150 300 450 600 750 Min: 869.2 / Avg: 869.42 / Max: 869.81 Min: 614.36 / Avg: 615.59 / Max: 616.34 Min: 366.96 / Avg: 367.9 / Max: 369.04 Min: 367.21 / Avg: 367.67 / Max: 368.32 Min: 366.15 / Avg: 367.6 / Max: 368.77 Min: 299.69 / Avg: 300.29 / Max: 300.67 Min: 298.65 / Avg: 299.62 / Max: 301.26 Min: 298.57 / Avg: 299.11 / Max: 299.56
Chaos Group V-RAY This is a test of Chaos Group's V-RAY benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Ksamples, More Is Better Chaos Group V-RAY 4.10.07 Mode: CPU Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X 7K 14K 21K 28K 35K SE +/- 49.03, N = 3 SE +/- 37.04, N = 3 SE +/- 41.19, N = 3 SE +/- 88.38, N = 3 SE +/- 96.88, N = 3 SE +/- 29.67, N = 3 SE +/- 33.59, N = 3 SE +/- 60.77, N = 3 11219 15497 26310 26311 26522 32434 32500 32506
Result Confidence
OpenBenchmarking.org Ksamples, More Is Better Chaos Group V-RAY 4.10.07 Mode: CPU Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X 6K 12K 18K 24K 30K Min: 11122 / Avg: 11219 / Max: 11280 Min: 15441 / Avg: 15497 / Max: 15567 Min: 26243 / Avg: 26310 / Max: 26385 Min: 26136 / Avg: 26311 / Max: 26420 Min: 26335 / Avg: 26521.67 / Max: 26660 Min: 32378 / Avg: 32434 / Max: 32479 Min: 32445 / Avg: 32500.33 / Max: 32561 Min: 32411 / Avg: 32505.67 / Max: 32619
Smallpt Smallpt is a C++ global illumination renderer written in less than 100 lines of code. Global illumination is done via unbiased Monte Carlo path tracing and there is multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Smallpt 1.0 Global Illumination Renderer; 128 Samples Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 4 8 12 16 20 SE +/- 0.014, N = 3 SE +/- 0.001, N = 3 SE +/- 0.028, N = 3 SE +/- 0.023, N = 3 SE +/- 0.006, N = 3 SE +/- 0.001, N = 3 SE +/- 0.017, N = 3 SE +/- 0.001, N = 3 14.172 9.855 6.182 6.141 6.117 4.908 4.906 4.894 1. (CXX) g++ options: -fopenmp -O3
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Smallpt 1.0 Global Illumination Renderer; 128 Samples Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 4 8 12 16 20 Min: 14.15 / Avg: 14.17 / Max: 14.2 Min: 9.85 / Avg: 9.86 / Max: 9.86 Min: 6.13 / Avg: 6.18 / Max: 6.21 Min: 6.12 / Avg: 6.14 / Max: 6.19 Min: 6.11 / Avg: 6.12 / Max: 6.13 Min: 4.91 / Avg: 4.91 / Max: 4.91 Min: 4.89 / Avg: 4.91 / Max: 4.94 Min: 4.89 / Avg: 4.89 / Max: 4.9 1. (CXX) g++ options: -fopenmp -O3
LuxCoreRender LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.3 Scene: DLSC Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 0.8123 1.6246 2.4369 3.2492 4.0615 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 1.26 1.79 2.90 2.91 2.95 3.56 3.57 3.61 MIN: 1.19 / MAX: 1.29 MIN: 1.71 / MAX: 1.85 MIN: 2.78 / MAX: 3.03 MIN: 2.78 / MAX: 3.06 MIN: 2.81 / MAX: 3.1 MIN: 3.42 / MAX: 3.74 MIN: 3.43 / MAX: 3.76 MIN: 3.45 / MAX: 3.81
Result Confidence
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.3 Scene: DLSC Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 2 4 6 8 10 Min: 1.23 / Avg: 1.26 / Max: 1.27 Min: 1.78 / Avg: 1.79 / Max: 1.81 Min: 2.88 / Avg: 2.9 / Max: 2.92 Min: 2.89 / Avg: 2.91 / Max: 2.95 Min: 2.93 / Avg: 2.95 / Max: 2.98 Min: 3.55 / Avg: 3.56 / Max: 3.58 Min: 3.56 / Avg: 3.57 / Max: 3.59 Min: 3.58 / Avg: 3.61 / Max: 3.64
Basis Universal Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 3 Core i5 10600K Ryzen 7 3800XT AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 20 40 60 80 100 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 80.13 55.20 33.90 33.88 33.82 28.19 28.17 28.02 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 3 Core i5 10600K Ryzen 7 3800XT AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 15 30 45 60 75 Min: 80.11 / Avg: 80.13 / Max: 80.16 Min: 55.14 / Avg: 55.2 / Max: 55.23 Min: 33.86 / Avg: 33.9 / Max: 33.96 Min: 33.82 / Avg: 33.88 / Max: 33.94 Min: 33.73 / Avg: 33.82 / Max: 33.86 Min: 28.15 / Avg: 28.19 / Max: 28.23 Min: 28.09 / Avg: 28.17 / Max: 28.25 Min: 27.95 / Avg: 28.02 / Max: 28.07 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Pabellon Barcelona - Compute: CPU-Only Core i5 10600K Ryzen 7 3800XT AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 150 300 450 600 750 SE +/- 1.26, N = 3 SE +/- 0.45, N = 3 SE +/- 0.21, N = 3 SE +/- 0.04, N = 3 SE +/- 0.34, N = 3 SE +/- 0.28, N = 3 SE +/- 0.17, N = 3 SE +/- 0.05, N = 3 703.00 478.68 303.43 303.20 303.07 247.89 247.72 247.33
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Pabellon Barcelona - Compute: CPU-Only Core i5 10600K Ryzen 7 3800XT AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 120 240 360 480 600 Min: 700.78 / Avg: 703 / Max: 705.14 Min: 477.79 / Avg: 478.68 / Max: 479.27 Min: 303.14 / Avg: 303.43 / Max: 303.83 Min: 303.15 / Avg: 303.2 / Max: 303.28 Min: 302.48 / Avg: 303.07 / Max: 303.65 Min: 247.32 / Avg: 247.89 / Max: 248.18 Min: 247.42 / Avg: 247.72 / Max: 248 Min: 247.23 / Avg: 247.33 / Max: 247.4
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Crown Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 6 12 18 24 30 SE +/- 0.0166, N = 3 SE +/- 0.0151, N = 3 SE +/- 0.1247, N = 3 SE +/- 0.0980, N = 3 SE +/- 0.0654, N = 3 SE +/- 0.0349, N = 3 SE +/- 0.0443, N = 3 SE +/- 0.1426, N = 3 8.5857 11.6169 19.5481 19.8036 19.9018 24.1349 24.2553 24.3407 MIN: 8.52 / MAX: 8.72 MIN: 11.52 / MAX: 11.84 MIN: 18.83 / MAX: 20.33 MIN: 19.18 / MAX: 20.43 MIN: 19.63 / MAX: 20.38 MIN: 23.87 / MAX: 24.81 MIN: 23.99 / MAX: 24.95 MIN: 23.86 / MAX: 25.2
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Crown Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 6 12 18 24 30 Min: 8.56 / Avg: 8.59 / Max: 8.62 Min: 11.59 / Avg: 11.62 / Max: 11.63 Min: 19.3 / Avg: 19.55 / Max: 19.7 Min: 19.65 / Avg: 19.8 / Max: 19.98 Min: 19.77 / Avg: 19.9 / Max: 19.99 Min: 24.08 / Avg: 24.13 / Max: 24.2 Min: 24.21 / Avg: 24.26 / Max: 24.34 Min: 24.06 / Avg: 24.34 / Max: 24.53
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Fishy Cat - Compute: CPU-Only Core i5 10600K Ryzen 7 3800XT AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 60 120 180 240 300 SE +/- 0.32, N = 3 SE +/- 0.09, N = 3 SE +/- 0.23, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 288.14 198.70 124.78 124.55 124.32 102.43 102.25 101.94
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Fishy Cat - Compute: CPU-Only Core i5 10600K Ryzen 7 3800XT AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 50 100 150 200 250 Min: 287.56 / Avg: 288.14 / Max: 288.65 Min: 198.57 / Avg: 198.7 / Max: 198.87 Min: 124.43 / Avg: 124.78 / Max: 125.2 Min: 124.47 / Avg: 124.55 / Max: 124.68 Min: 124.13 / Avg: 124.32 / Max: 124.44 Min: 102.29 / Avg: 102.43 / Max: 102.52 Min: 102.14 / Avg: 102.25 / Max: 102.4 Min: 101.83 / Avg: 101.94 / Max: 102.13
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 Core i5 10600K AMD 5900X Ryzen 7 3800XT AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5900X AMD Ryzen 9 5900X Ryzen 9 5950X 2 4 6 8 10 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 8.66 3.10 3.09 3.08 3.08 3.08 3.07 3.07 MIN: 7.95 / MAX: 8.94 MIN: 3.03 / MAX: 8.53 MIN: 3.05 / MAX: 3.53 MIN: 3.04 / MAX: 3.32 MIN: 3.04 / MAX: 3.3 MIN: 3.03 / MAX: 4.08 MIN: 3.03 / MAX: 3.29 MIN: 3.03 / MAX: 3.21 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 Core i5 10600K AMD 5900X Ryzen 7 3800XT AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5900X AMD Ryzen 9 5900X Ryzen 9 5950X 3 6 9 12 15 Min: 8.59 / Avg: 8.66 / Max: 8.73 Min: 3.07 / Avg: 3.1 / Max: 3.15 Min: 3.09 / Avg: 3.09 / Max: 3.1 Min: 3.07 / Avg: 3.08 / Max: 3.09 Min: 3.07 / Avg: 3.08 / Max: 3.08 Min: 3.07 / Avg: 3.08 / Max: 3.1 Min: 3.07 / Avg: 3.07 / Max: 3.08 Min: 3.07 / Avg: 3.07 / Max: 3.08 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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Incompact3D 2020-09-17 Input: Cylinder Ryzen 5 2600 Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 120 240 360 480 600 SE +/- 7.23, N = 3 SE +/- 5.26, N = 3 SE +/- 0.33, N = 3 SE +/- 1.44, N = 3 SE +/- 0.43, N = 3 SE +/- 1.30, N = 3 SE +/- 0.89, N = 3 SE +/- 1.19, N = 3 SE +/- 0.48, N = 3 569.82 416.94 345.46 231.15 226.79 213.64 205.44 203.53 202.31 1. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Incompact3D 2020-09-17 Input: Cylinder Ryzen 5 2600 Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 100 200 300 400 500 Min: 560.31 / Avg: 569.82 / Max: 584.01 Min: 411.09 / Avg: 416.94 / Max: 427.45 Min: 344.82 / Avg: 345.46 / Max: 345.89 Min: 228.67 / Avg: 231.15 / Max: 233.65 Min: 226.04 / Avg: 226.79 / Max: 227.51 Min: 211.16 / Avg: 213.64 / Max: 215.57 Min: 203.71 / Avg: 205.44 / Max: 206.67 Min: 202.3 / Avg: 203.53 / Max: 205.9 Min: 201.4 / Avg: 202.31 / Max: 203.04 1. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Classroom - Compute: CPU-Only Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 140 280 420 560 700 SE +/- 1.79, N = 3 SE +/- 0.36, N = 3 SE +/- 0.33, N = 3 SE +/- 0.25, N = 3 SE +/- 0.04, N = 3 SE +/- 0.32, N = 3 SE +/- 0.21, N = 3 SE +/- 0.21, N = 3 630.74 429.67 278.23 277.84 277.53 225.99 225.94 225.73
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Classroom - Compute: CPU-Only Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 110 220 330 440 550 Min: 628.9 / Avg: 630.74 / Max: 634.32 Min: 429.16 / Avg: 429.67 / Max: 430.36 Min: 277.86 / Avg: 278.23 / Max: 278.88 Min: 277.38 / Avg: 277.84 / Max: 278.23 Min: 277.48 / Avg: 277.53 / Max: 277.6 Min: 225.56 / Avg: 225.99 / Max: 226.62 Min: 225.54 / Avg: 225.94 / Max: 226.25 Min: 225.34 / Avg: 225.73 / Max: 226.07
IndigoBench This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.0.64 Scene: Supercar Core i5 10600K Ryzen 7 3800XT AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X 2 4 6 8 10 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.013, N = 3 SE +/- 0.017, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.015, N = 3 2.475 3.213 5.444 5.469 5.472 6.715 6.743 6.762
Result Confidence
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.0.64 Scene: Supercar Core i5 10600K Ryzen 7 3800XT AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X 3 6 9 12 15 Min: 2.47 / Avg: 2.47 / Max: 2.48 Min: 3.21 / Avg: 3.21 / Max: 3.21 Min: 5.43 / Avg: 5.44 / Max: 5.47 Min: 5.44 / Avg: 5.47 / Max: 5.49 Min: 5.47 / Avg: 5.47 / Max: 5.48 Min: 6.71 / Avg: 6.71 / Max: 6.72 Min: 6.74 / Avg: 6.74 / Max: 6.75 Min: 6.73 / Avg: 6.76 / Max: 6.78
LuxCoreRender LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.3 Scene: Rainbow Colors and Prism Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 0.8595 1.719 2.5785 3.438 4.2975 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 1.40 1.94 3.12 3.15 3.15 3.82 3.82 3.82 MIN: 1.38 / MAX: 1.42 MIN: 1.88 / MAX: 1.99 MIN: 3.05 / MAX: 3.17 MIN: 3.07 / MAX: 3.22 MIN: 3.08 / MAX: 3.2 MIN: 3.75 / MAX: 3.89 MIN: 3.75 / MAX: 3.88 MIN: 3.74 / MAX: 3.88
Result Confidence
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.3 Scene: Rainbow Colors and Prism Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 2 4 6 8 10 Min: 1.39 / Avg: 1.4 / Max: 1.4 Min: 1.92 / Avg: 1.94 / Max: 1.95 Min: 3.11 / Avg: 3.12 / Max: 3.12 Min: 3.13 / Avg: 3.15 / Max: 3.17 Min: 3.14 / Avg: 3.15 / Max: 3.16 Min: 3.82 / Avg: 3.82 / Max: 3.83 Min: 3.81 / Avg: 3.82 / Max: 3.83 Min: 3.79 / Avg: 3.82 / Max: 3.83
Tungsten Renderer Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Hair Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 8 16 24 32 40 SE +/- 0.05, N = 3 SE +/- 0.00, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 35.52 24.37 15.73 15.63 15.61 13.12 13.09 13.03 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Hair Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 8 16 24 32 40 Min: 35.42 / Avg: 35.52 / Max: 35.57 Min: 24.36 / Avg: 24.37 / Max: 24.37 Min: 15.63 / Avg: 15.73 / Max: 15.82 Min: 15.58 / Avg: 15.63 / Max: 15.7 Min: 15.56 / Avg: 15.61 / Max: 15.65 Min: 13.07 / Avg: 13.12 / Max: 13.16 Min: 13.06 / Avg: 13.09 / Max: 13.12 Min: 13.02 / Avg: 13.03 / Max: 13.04 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Slow Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 3.96 5.93 8.44 8.44 9.01 10.53 10.73 10.79 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Slow Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 3 6 9 12 15 Min: 3.96 / Avg: 3.96 / Max: 3.97 Min: 5.93 / Avg: 5.93 / Max: 5.94 Min: 8.41 / Avg: 8.44 / Max: 8.48 Min: 8.44 / Avg: 8.44 / Max: 8.45 Min: 8.99 / Avg: 9.01 / Max: 9.04 Min: 10.52 / Avg: 10.53 / Max: 10.54 Min: 10.67 / Avg: 10.73 / Max: 10.79 Min: 10.78 / Avg: 10.79 / Max: 10.8 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Appleseed Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Emily Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 110 220 330 440 550 511.78 350.83 224.84 224.60 222.67 190.73 190.56 189.51
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Medium Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 4.07 6.06 8.60 8.62 9.19 10.73 10.95 10.99 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Medium Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 3 6 9 12 15 Min: 4.06 / Avg: 4.07 / Max: 4.08 Min: 6.05 / Avg: 6.06 / Max: 6.06 Min: 8.58 / Avg: 8.6 / Max: 8.61 Min: 8.59 / Avg: 8.62 / Max: 8.63 Min: 9.18 / Avg: 9.19 / Max: 9.21 Min: 10.72 / Avg: 10.73 / Max: 10.74 Min: 10.92 / Avg: 10.95 / Max: 10.99 Min: 10.96 / Avg: 10.99 / Max: 11.01 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
SVT-HEVC This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.4.1 1080p 8-bit YUV To HEVC Video Encode Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 20 40 60 80 100 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.33, N = 3 SE +/- 0.34, N = 3 SE +/- 0.13, N = 3 SE +/- 0.39, N = 3 SE +/- 0.36, N = 3 SE +/- 0.53, N = 3 40.46 55.96 88.60 88.76 88.87 106.68 107.06 107.36 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.4.1 1080p 8-bit YUV To HEVC Video Encode Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 20 40 60 80 100 Min: 40.24 / Avg: 40.46 / Max: 40.58 Min: 55.78 / Avg: 55.96 / Max: 56.07 Min: 87.95 / Avg: 88.6 / Max: 88.93 Min: 88.12 / Avg: 88.76 / Max: 89.27 Min: 88.61 / Avg: 88.87 / Max: 89.01 Min: 106.01 / Avg: 106.68 / Max: 107.35 Min: 106.48 / Avg: 107.06 / Max: 107.72 Min: 106.31 / Avg: 107.36 / Max: 107.89 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
Appleseed Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Disney Material Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 70 140 210 280 350 308.75 218.21 142.28 141.79 140.58 117.54 116.79 116.76
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
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.
Result
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: Rhodopsin Protein Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 3 6 9 12 15 SE +/- 0.120, N = 15 SE +/- 0.068, N = 15 SE +/- 0.081, N = 15 SE +/- 0.133, N = 3 SE +/- 0.013, N = 3 SE +/- 0.246, N = 15 SE +/- 0.101, N = 3 SE +/- 0.096, N = 3 5.107 6.580 10.853 10.918 10.990 12.388 12.681 13.368 1. (CXX) g++ options: -O3 -pthread -lm
Result Confidence
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: Rhodopsin Protein Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 4 8 12 16 20 Min: 3.81 / Avg: 5.11 / Max: 5.33 Min: 6.24 / Avg: 6.58 / Max: 7.05 Min: 10.1 / Avg: 10.85 / Max: 11.23 Min: 10.65 / Avg: 10.92 / Max: 11.08 Min: 10.98 / Avg: 10.99 / Max: 11.02 Min: 10.49 / Avg: 12.39 / Max: 13.55 Min: 12.53 / Avg: 12.68 / Max: 12.87 Min: 13.18 / Avg: 13.37 / Max: 13.47 1. (CXX) g++ options: -O3 -pthread -lm
POV-Ray This is a test of POV-Ray, the Persistence of Vision Raytracer. POV-Ray is used to create 3D graphics using ray-tracing. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better POV-Ray 3.7.0.7 Trace Time Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 13 26 39 52 65 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.19, N = 3 SE +/- 0.03, N = 3 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 59.29 42.80 27.23 27.22 27.08 23.02 22.87 22.66 1. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better POV-Ray 3.7.0.7 Trace Time Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 12 24 36 48 60 Min: 59.15 / Avg: 59.29 / Max: 59.42 Min: 42.72 / Avg: 42.8 / Max: 42.95 Min: 27.11 / Avg: 27.23 / Max: 27.42 Min: 26.88 / Avg: 27.22 / Max: 27.54 Min: 27.02 / Avg: 27.08 / Max: 27.13 Min: 22.74 / Avg: 23.02 / Max: 23.23 Min: 22.74 / Avg: 22.87 / Max: 23.02 Min: 22.64 / Avg: 22.66 / Max: 22.7 1. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system
Basis Universal Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 2 Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 9 18 27 36 45 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 41.43 29.50 18.71 18.70 18.65 15.98 15.94 15.84 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 2 Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 9 18 27 36 45 Min: 41.43 / Avg: 41.43 / Max: 41.44 Min: 29.45 / Avg: 29.5 / Max: 29.55 Min: 18.61 / Avg: 18.71 / Max: 18.77 Min: 18.65 / Avg: 18.7 / Max: 18.73 Min: 18.61 / Avg: 18.64 / Max: 18.71 Min: 15.93 / Avg: 15.98 / Max: 16.02 Min: 15.88 / Avg: 15.94 / Max: 15.99 Min: 15.8 / Avg: 15.84 / Max: 15.87 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
rays1bench This is a test of rays1bench, a simple path-tracer / ray-tracing that supports SSE and AVX instructions, multi-threading, and other features. This test profile is measuring the performance of the "large scene" in rays1bench. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org mrays/s, More Is Better rays1bench 2020-01-09 Large Scene Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 30 60 90 120 150 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.21, N = 3 SE +/- 0.33, N = 3 SE +/- 0.17, N = 3 SE +/- 0.28, N = 3 SE +/- 0.41, N = 3 SE +/- 0.11, N = 3 43.60 63.23 102.63 102.66 103.04 111.48 112.75 113.01
Result Confidence
OpenBenchmarking.org mrays/s, More Is Better rays1bench 2020-01-09 Large Scene Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 20 40 60 80 100 Min: 43.55 / Avg: 43.6 / Max: 43.65 Min: 63.19 / Avg: 63.23 / Max: 63.26 Min: 102.21 / Avg: 102.63 / Max: 102.86 Min: 102.23 / Avg: 102.66 / Max: 103.31 Min: 102.73 / Avg: 103.04 / Max: 103.31 Min: 111.03 / Avg: 111.48 / Max: 111.98 Min: 112.2 / Avg: 112.75 / Max: 113.56 Min: 112.85 / Avg: 113.01 / Max: 113.23
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: BMW27 - Compute: CPU-Only Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 40 80 120 160 200 SE +/- 0.41, N = 3 SE +/- 0.26, N = 3 SE +/- 0.41, N = 3 SE +/- 0.15, N = 3 SE +/- 0.15, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 202.64 149.78 95.61 95.10 95.00 78.49 78.42 78.32
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: BMW27 - Compute: CPU-Only Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 40 80 120 160 200 Min: 201.87 / Avg: 202.64 / Max: 203.29 Min: 149.35 / Avg: 149.78 / Max: 150.26 Min: 95 / Avg: 95.61 / Max: 96.4 Min: 94.84 / Avg: 95.1 / Max: 95.35 Min: 94.73 / Avg: 95 / Max: 95.25 Min: 78.41 / Avg: 78.49 / Max: 78.64 Min: 78.3 / Avg: 78.42 / Max: 78.5 Min: 78.18 / Avg: 78.32 / Max: 78.51
Appleseed Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Material Tester Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 60 120 180 240 300 284.85 199.21 134.00 133.40 132.62 111.72 111.29 111.24
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 1.2465 2.493 3.7395 4.986 6.2325 SE +/- 0.00, N = 3 SE +/- 0.00, N = 6 SE +/- 0.01, N = 4 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 2.18 2.59 4.49 4.53 4.54 5.50 5.50 5.54 MIN: 2.12 / MAX: 2.2 MIN: 2.55 / MAX: 2.62 MIN: 4.31 / MAX: 4.52 MIN: 4.42 / MAX: 4.61 MIN: 4.48 / MAX: 4.61 MIN: 5.43 / MAX: 5.62 MIN: 5.43 / MAX: 5.62 MIN: 5.46 / MAX: 5.62
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 2 4 6 8 10 Min: 2.17 / Avg: 2.18 / Max: 2.18 Min: 2.58 / Avg: 2.59 / Max: 2.59 Min: 4.48 / Avg: 4.49 / Max: 4.5 Min: 4.5 / Avg: 4.53 / Max: 4.57 Min: 4.52 / Avg: 4.54 / Max: 4.57 Min: 5.49 / Avg: 5.5 / Max: 5.52 Min: 5.49 / Avg: 5.5 / Max: 5.52 Min: 5.52 / Avg: 5.54 / Max: 5.56
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.
Result
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: 20k Atoms Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 3 6 9 12 15 SE +/- 0.012, N = 3 SE +/- 0.028, N = 3 SE +/- 0.060, N = 3 SE +/- 0.026, N = 3 SE +/- 0.026, N = 3 SE +/- 0.151, N = 3 SE +/- 0.084, N = 3 SE +/- 0.097, N = 3 5.204 6.811 10.956 11.023 11.080 12.939 13.066 13.150 1. (CXX) g++ options: -O3 -pthread -lm
Result Confidence
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: 20k Atoms Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 4 8 12 16 20 Min: 5.18 / Avg: 5.2 / Max: 5.22 Min: 6.76 / Avg: 6.81 / Max: 6.85 Min: 10.88 / Avg: 10.96 / Max: 11.08 Min: 10.97 / Avg: 11.02 / Max: 11.06 Min: 11.03 / Avg: 11.08 / Max: 11.12 Min: 12.64 / Avg: 12.94 / Max: 13.15 Min: 12.9 / Avg: 13.07 / Max: 13.17 Min: 12.96 / Avg: 13.15 / Max: 13.26 1. (CXX) g++ options: -O3 -pthread -lm
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.00, N = 5 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 3.29 3.97 6.70 6.77 6.79 8.29 8.29 8.31 MIN: 3.26 / MAX: 3.36 MIN: 3.91 / MAX: 4.05 MIN: 6.45 / MAX: 6.8 MIN: 6.67 / MAX: 6.85 MIN: 6.71 / MAX: 6.9 MIN: 8.13 / MAX: 8.47 MIN: 8.13 / MAX: 8.47 MIN: 8.2 / MAX: 8.47
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 3 6 9 12 15 Min: 3.29 / Avg: 3.29 / Max: 3.3 Min: 3.97 / Avg: 3.97 / Max: 3.98 Min: 6.67 / Avg: 6.7 / Max: 6.71 Min: 6.76 / Avg: 6.77 / Max: 6.8 Min: 6.76 / Avg: 6.79 / Max: 6.8 Min: 8.26 / Avg: 8.29 / Max: 8.33 Min: 8.26 / Avg: 8.29 / Max: 8.33 Min: 8.26 / Avg: 8.31 / Max: 8.33
Timed MPlayer Compilation This test times how long it takes to build the MPlayer open-source media player program. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed MPlayer Compilation 1.4 Time To Compile Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X 11 22 33 44 55 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 47.86 33.95 22.08 22.04 22.02 19.24 19.01 18.95
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed MPlayer Compilation 1.4 Time To Compile Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X 10 20 30 40 50 Min: 47.81 / Avg: 47.86 / Max: 47.89 Min: 33.87 / Avg: 33.95 / Max: 34.02 Min: 22.07 / Avg: 22.08 / Max: 22.11 Min: 22 / Avg: 22.04 / Max: 22.1 Min: 21.95 / Avg: 22.02 / Max: 22.09 Min: 19.19 / Avg: 19.24 / Max: 19.3 Min: 18.96 / Avg: 19.01 / Max: 19.07 Min: 18.92 / Avg: 18.95 / Max: 18.97
OpenVKL OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmark Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X 60 120 180 240 300 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.73, N = 3 SE +/- 0.28, N = 3 SE +/- 0.39, N = 3 SE +/- 0.61, N = 3 SE +/- 1.65, N = 3 SE +/- 0.59, N = 3 114.06 129.33 234.14 235.31 236.94 287.14 287.42 287.81 MIN: 1 / MAX: 458 MIN: 1 / MAX: 462 MIN: 1 / MAX: 904 MIN: 1 / MAX: 910 MIN: 1 / MAX: 917 MIN: 1 / MAX: 1121 MIN: 1 / MAX: 1127 MIN: 1 / MAX: 1119
Result Confidence
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmark Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X 50 100 150 200 250 Min: 113.92 / Avg: 114.06 / Max: 114.17 Min: 129.25 / Avg: 129.33 / Max: 129.42 Min: 233 / Avg: 234.14 / Max: 235.5 Min: 234.75 / Avg: 235.31 / Max: 235.67 Min: 236.17 / Avg: 236.94 / Max: 237.42 Min: 286.17 / Avg: 287.14 / Max: 288.25 Min: 285.33 / Avg: 287.42 / Max: 290.67 Min: 286.67 / Avg: 287.81 / Max: 288.67
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 0.6683 1.3366 2.0049 2.6732 3.3415 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 1.19 1.36 2.41 2.43 2.43 2.96 2.96 2.97 MIN: 1.18 / MAX: 1.2 MIN: 1.33 / MAX: 1.37 MIN: 2.28 / MAX: 2.43 MIN: 2.41 / MAX: 2.46 MIN: 2.41 / MAX: 2.44 MIN: 2.93 / MAX: 2.99 MIN: 2.93 / MAX: 3.01 MIN: 2.94 / MAX: 3.02
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 2 4 6 8 10 Min: 1.19 / Avg: 1.19 / Max: 1.19 Min: 1.35 / Avg: 1.36 / Max: 1.36 Min: 2.4 / Avg: 2.41 / Max: 2.41 Min: 2.43 / Avg: 2.43 / Max: 2.44 Min: 2.42 / Avg: 2.43 / Max: 2.43 Min: 2.95 / Avg: 2.96 / Max: 2.96 Min: 2.95 / Avg: 2.96 / Max: 2.98 Min: 2.96 / Avg: 2.97 / Max: 2.98
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU Core i5 10600K Ryzen 7 3800XT AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 3K 6K 9K 12K 15K SE +/- 14.74, N = 3 SE +/- 30.19, N = 3 SE +/- 20.61, N = 3 SE +/- 16.19, N = 3 SE +/- 14.85, N = 3 SE +/- 20.72, N = 3 SE +/- 26.50, N = 3 SE +/- 11.77, N = 3 5430.85 7175.49 10941.62 10980.27 10991.22 13486.26 13499.96 13552.21 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result Confidence
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU Core i5 10600K Ryzen 7 3800XT AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 2K 4K 6K 8K 10K Min: 5405.37 / Avg: 5430.85 / Max: 5456.43 Min: 7130.65 / Avg: 7175.49 / Max: 7232.94 Min: 10903.1 / Avg: 10941.62 / Max: 10973.6 Min: 10954.62 / Avg: 10980.27 / Max: 11010.2 Min: 10964.78 / Avg: 10991.22 / Max: 11016.16 Min: 13453.91 / Avg: 13486.26 / Max: 13524.87 Min: 13450.3 / Avg: 13499.96 / Max: 13540.81 Min: 13534.31 / Avg: 13552.21 / Max: 13574.41 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 6 12 18 24 30 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.18, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 10.26 12.47 20.09 20.56 20.59 25.11 25.15 25.43 MIN: 10.14 / MAX: 10.5 MIN: 12.36 / MAX: 12.72 MIN: 19.9 / MAX: 20.61 MIN: 20.45 / MAX: 20.88 MIN: 20.39 / MAX: 21.03 MIN: 24.31 / MAX: 25.7 MIN: 24.88 / MAX: 25.71 MIN: 25.12 / MAX: 25.92
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 6 12 18 24 30 Min: 10.18 / Avg: 10.26 / Max: 10.33 Min: 12.42 / Avg: 12.47 / Max: 12.57 Min: 20.04 / Avg: 20.09 / Max: 20.12 Min: 20.54 / Avg: 20.56 / Max: 20.59 Min: 20.47 / Avg: 20.59 / Max: 20.78 Min: 24.77 / Avg: 25.11 / Max: 25.39 Min: 25.08 / Avg: 25.15 / Max: 25.26 Min: 25.22 / Avg: 25.43 / Max: 25.54
TTSIOD 3D Renderer A portable GPL 3D software renderer that supports OpenMP and Intel Threading Building Blocks with many different rendering modes. This version does not use OpenGL but is entirely CPU/software based. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better TTSIOD 3D Renderer 2.3b Phong Rendering With Soft-Shadow Mapping Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X 200 400 600 800 1000 SE +/- 1.04, N = 3 SE +/- 1.62, N = 3 SE +/- 1.37, N = 3 SE +/- 1.27, N = 3 SE +/- 1.41, N = 3 SE +/- 1.77, N = 3 SE +/- 1.52, N = 3 SE +/- 8.01, N = 3 416.88 547.78 849.48 875.64 877.38 1024.67 1024.77 1032.90 1. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++
Result Confidence
OpenBenchmarking.org FPS, More Is Better TTSIOD 3D Renderer 2.3b Phong Rendering With Soft-Shadow Mapping Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X 200 400 600 800 1000 Min: 415.08 / Avg: 416.87 / Max: 418.67 Min: 545.46 / Avg: 547.78 / Max: 550.9 Min: 846.74 / Avg: 849.48 / Max: 851.06 Min: 873.59 / Avg: 875.63 / Max: 877.96 Min: 875.96 / Avg: 877.38 / Max: 880.2 Min: 1021.45 / Avg: 1024.67 / Max: 1027.54 Min: 1022.08 / Avg: 1024.77 / Max: 1027.33 Min: 1019.16 / Avg: 1032.9 / Max: 1046.9 1. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++
Tungsten Renderer Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Volumetric Caustic Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 3 6 9 12 15 SE +/- 0.00384, N = 3 SE +/- 0.01251, N = 3 SE +/- 0.01043, N = 3 SE +/- 0.01293, N = 3 SE +/- 0.00924, N = 3 SE +/- 0.02986, N = 3 SE +/- 0.02405, N = 3 SE +/- 0.02702, N = 3 12.19100 9.88657 5.96960 5.96544 5.96324 5.00757 4.94088 4.92379 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Volumetric Caustic Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 4 8 12 16 20 Min: 12.19 / Avg: 12.19 / Max: 12.2 Min: 9.86 / Avg: 9.89 / Max: 9.91 Min: 5.96 / Avg: 5.97 / Max: 5.99 Min: 5.94 / Avg: 5.97 / Max: 5.99 Min: 5.95 / Avg: 5.96 / Max: 5.98 Min: 4.96 / Avg: 5.01 / Max: 5.06 Min: 4.89 / Avg: 4.94 / Max: 4.97 Min: 4.87 / Avg: 4.92 / Max: 4.96 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X 3K 6K 9K 12K 15K SE +/- 13.99, N = 3 SE +/- 31.20, N = 3 SE +/- 7.54, N = 3 SE +/- 18.38, N = 3 SE +/- 11.30, N = 3 SE +/- 27.58, N = 3 SE +/- 11.82, N = 3 SE +/- 15.49, N = 3 5507.17 7092.35 10870.51 10914.91 11012.44 13519.27 13559.33 13562.03 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result Confidence
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X 2K 4K 6K 8K 10K Min: 5491.29 / Avg: 5507.17 / Max: 5535.07 Min: 7055.56 / Avg: 7092.35 / Max: 7154.39 Min: 10860.34 / Avg: 10870.51 / Max: 10885.25 Min: 10888.69 / Avg: 10914.91 / Max: 10950.34 Min: 10996.74 / Avg: 11012.44 / Max: 11034.38 Min: 13464.26 / Avg: 13519.27 / Max: 13550.33 Min: 13546.08 / Avg: 13559.33 / Max: 13582.91 Min: 13537.81 / Avg: 13562.03 / Max: 13590.87 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 6 12 18 24 30 SE +/- 0.0723, N = 3 SE +/- 0.0738, N = 3 SE +/- 0.1281, N = 3 SE +/- 0.0175, N = 3 SE +/- 0.1168, N = 3 SE +/- 0.0141, N = 3 SE +/- 0.0918, N = 3 SE +/- 0.0487, N = 3 9.9147 11.0429 19.2364 19.4682 19.6510 23.9013 23.9943 24.0730 MIN: 9.68 / MAX: 10.17 MIN: 10.82 / MAX: 11.31 MIN: 18.52 / MAX: 19.81 MIN: 19.28 / MAX: 19.89 MIN: 19.25 / MAX: 20.17 MIN: 23.65 / MAX: 24.67 MIN: 23.61 / MAX: 24.64 MIN: 23.79 / MAX: 24.7
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 6 12 18 24 30 Min: 9.77 / Avg: 9.91 / Max: 10.01 Min: 10.9 / Avg: 11.04 / Max: 11.13 Min: 18.99 / Avg: 19.24 / Max: 19.41 Min: 19.43 / Avg: 19.47 / Max: 19.49 Min: 19.43 / Avg: 19.65 / Max: 19.82 Min: 23.87 / Avg: 23.9 / Max: 23.92 Min: 23.82 / Avg: 23.99 / Max: 24.14 Min: 24.01 / Avg: 24.07 / Max: 24.17
Result
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Obj Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X 5 10 15 20 25 SE +/- 0.0274, N = 3 SE +/- 0.0063, N = 3 SE +/- 0.1298, N = 3 SE +/- 0.0193, N = 3 SE +/- 0.0016, N = 3 SE +/- 0.0703, N = 3 SE +/- 0.0164, N = 3 SE +/- 0.0296, N = 3 9.4719 11.4246 17.9935 18.3961 18.5209 22.6478 22.7108 22.7168 MIN: 9.41 / MAX: 9.61 MIN: 11.35 / MAX: 11.61 MIN: 17.37 / MAX: 18.62 MIN: 18.28 / MAX: 18.78 MIN: 18.41 / MAX: 18.86 MIN: 22.42 / MAX: 23.13 MIN: 22.59 / MAX: 23.1 MIN: 22.59 / MAX: 23.16
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Obj Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X 5 10 15 20 25 Min: 9.44 / Avg: 9.47 / Max: 9.53 Min: 11.42 / Avg: 11.42 / Max: 11.44 Min: 17.74 / Avg: 17.99 / Max: 18.15 Min: 18.36 / Avg: 18.4 / Max: 18.43 Min: 18.52 / Avg: 18.52 / Max: 18.52 Min: 22.58 / Avg: 22.65 / Max: 22.79 Min: 22.69 / Avg: 22.71 / Max: 22.74 Min: 22.69 / Avg: 22.72 / Max: 22.78
Tungsten Renderer Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Non-Exponential Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 2 4 6 8 10 SE +/- 0.02863, N = 3 SE +/- 0.00855, N = 3 SE +/- 0.01178, N = 3 SE +/- 0.02016, N = 3 SE +/- 0.00399, N = 3 SE +/- 0.00396, N = 3 SE +/- 0.01261, N = 3 SE +/- 0.00216, N = 3 8.93898 7.56210 4.69702 4.67431 4.67236 3.78578 3.77631 3.75474 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Non-Exponential Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 3 6 9 12 15 Min: 8.91 / Avg: 8.94 / Max: 9 Min: 7.55 / Avg: 7.56 / Max: 7.57 Min: 4.68 / Avg: 4.7 / Max: 4.72 Min: 4.65 / Avg: 4.67 / Max: 4.71 Min: 4.67 / Avg: 4.67 / Max: 4.68 Min: 3.78 / Avg: 3.79 / Max: 3.79 Min: 3.75 / Avg: 3.78 / Max: 3.8 Min: 3.75 / Avg: 3.75 / Max: 3.76 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
Timed FFmpeg Compilation This test times how long it takes to build FFmpeg. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 4.2.2 Time To Compile Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 16 32 48 64 80 SE +/- 0.13, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.11, N = 3 SE +/- 0.02, N = 3 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 70.50 51.44 34.09 34.03 33.97 30.00 29.87 29.85
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 4.2.2 Time To Compile Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 14 28 42 56 70 Min: 70.25 / Avg: 70.5 / Max: 70.68 Min: 51.39 / Avg: 51.44 / Max: 51.53 Min: 34.01 / Avg: 34.09 / Max: 34.19 Min: 33.88 / Avg: 34.03 / Max: 34.24 Min: 33.76 / Avg: 33.97 / Max: 34.09 Min: 29.97 / Avg: 30 / Max: 30.05 Min: 29.74 / Avg: 29.87 / Max: 30.11 Min: 29.68 / Avg: 29.85 / Max: 29.98
Timed Linux Kernel Compilation This test times how long it takes to build the Linux kernel in a default configuration. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.4 Time To Compile Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 20 40 60 80 100 SE +/- 0.72, N = 3 SE +/- 0.47, N = 3 SE +/- 0.22, N = 3 SE +/- 0.39, N = 3 SE +/- 0.34, N = 3 SE +/- 0.25, N = 3 SE +/- 0.71, N = 3 SE +/- 0.74, N = 3 106.60 76.95 51.95 51.71 51.61 45.70 45.57 45.21
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.4 Time To Compile Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 20 40 60 80 100 Min: 105.8 / Avg: 106.6 / Max: 108.04 Min: 76.46 / Avg: 76.95 / Max: 77.89 Min: 51.69 / Avg: 51.95 / Max: 52.38 Min: 51.04 / Avg: 51.71 / Max: 52.39 Min: 51.25 / Avg: 51.61 / Max: 52.3 Min: 45.45 / Avg: 45.7 / Max: 46.19 Min: 44.43 / Avg: 45.57 / Max: 46.89 Min: 44 / Avg: 45.21 / Max: 46.55
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 1.1986 2.3972 3.5958 4.7944 5.993 SE +/- 0.03724, N = 3 SE +/- 0.00875, N = 3 SE +/- 0.01266, N = 3 SE +/- 0.00562, N = 3 SE +/- 0.01511, N = 3 SE +/- 0.00170, N = 3 SE +/- 0.00671, N = 3 SE +/- 0.00824, N = 3 5.32696 4.16526 2.89332 2.74905 2.73112 2.27083 2.26667 2.26568 MIN: 5.17 MIN: 4.06 MIN: 2.69 MIN: 2.65 MIN: 2.63 MIN: 2.19 MIN: 2.21 MIN: 2.19 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 2 4 6 8 10 Min: 5.29 / Avg: 5.33 / Max: 5.4 Min: 4.15 / Avg: 4.17 / Max: 4.18 Min: 2.88 / Avg: 2.89 / Max: 2.92 Min: 2.74 / Avg: 2.75 / Max: 2.76 Min: 2.7 / Avg: 2.73 / Max: 2.75 Min: 2.27 / Avg: 2.27 / Max: 2.27 Min: 2.25 / Avg: 2.27 / Max: 2.28 Min: 2.25 / Avg: 2.27 / Max: 2.28 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 0.6176 1.2352 1.8528 2.4704 3.088 SE +/- 0.00507, N = 3 SE +/- 0.00376, N = 3 SE +/- 0.00362, N = 3 SE +/- 0.02408, N = 3 SE +/- 0.01070, N = 3 SE +/- 0.00548, N = 3 SE +/- 0.00446, N = 3 SE +/- 0.00156, N = 3 2.74485 2.33634 1.46538 1.41941 1.40635 1.17885 1.17120 1.16906 MIN: 2.68 MIN: 2.24 MIN: 1.35 MIN: 1.35 MIN: 1.36 MIN: 1.13 MIN: 1.12 MIN: 1.13 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 2 4 6 8 10 Min: 2.74 / Avg: 2.74 / Max: 2.75 Min: 2.33 / Avg: 2.34 / Max: 2.34 Min: 1.46 / Avg: 1.47 / Max: 1.47 Min: 1.39 / Avg: 1.42 / Max: 1.47 Min: 1.39 / Avg: 1.41 / Max: 1.43 Min: 1.17 / Avg: 1.18 / Max: 1.19 Min: 1.16 / Avg: 1.17 / Max: 1.18 Min: 1.17 / Avg: 1.17 / Max: 1.17 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Numenta Anomaly Benchmark Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Earthgecko Skyline Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X 40 80 120 160 200 SE +/- 0.71, N = 3 SE +/- 1.77, N = 3 SE +/- 0.96, N = 3 SE +/- 0.86, N = 3 SE +/- 0.44, N = 3 SE +/- 0.15, N = 3 SE +/- 0.33, N = 3 SE +/- 0.29, N = 3 158.42 114.97 72.49 71.37 71.30 68.02 67.82 67.67
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Earthgecko Skyline Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X 30 60 90 120 150 Min: 157.05 / Avg: 158.42 / Max: 159.45 Min: 112.32 / Avg: 114.97 / Max: 118.34 Min: 70.58 / Avg: 72.49 / Max: 73.45 Min: 70.1 / Avg: 71.37 / Max: 73.02 Min: 70.44 / Avg: 71.3 / Max: 71.92 Min: 67.72 / Avg: 68.02 / Max: 68.23 Min: 67.16 / Avg: 67.82 / Max: 68.19 Min: 67.35 / Avg: 67.67 / Max: 68.24
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 11 22 33 44 55 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.20, N = 3 SE +/- 0.02, N = 3 20.98 30.05 41.65 41.67 44.72 48.68 49.01 49.07 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 10 20 30 40 50 Min: 20.96 / Avg: 20.98 / Max: 21.02 Min: 29.89 / Avg: 30.05 / Max: 30.18 Min: 41.49 / Avg: 41.65 / Max: 41.84 Min: 41.53 / Avg: 41.67 / Max: 41.83 Min: 44.58 / Avg: 44.72 / Max: 44.82 Min: 48.56 / Avg: 48.68 / Max: 48.77 Min: 48.76 / Avg: 49.01 / Max: 49.41 Min: 49.04 / Avg: 49.07 / Max: 49.12 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 5 10 15 20 25 SE +/- 0.00, N = 12 SE +/- 0.02, N = 7 SE +/- 0.00, N = 12 SE +/- 0.10, N = 3 SE +/- 0.05, N = 6 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 9.35 12.68 17.54 17.65 17.80 21.74 21.74 21.74 MIN: 9.09 / MAX: 9.52 MIN: 12.5 / MAX: 12.99 MIN: 16.39 / MAX: 17.86 MIN: 17.24 / MAX: 17.86 MIN: 17.24 / MAX: 17.86 MIN: 21.28 / MAX: 22.22 MIN: 21.28 / MAX: 22.22 MIN: 21.28 / MAX: 22.22
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 5 10 15 20 25 Min: 9.35 / Avg: 9.35 / Max: 9.35 Min: 12.66 / Avg: 12.68 / Max: 12.82 Min: 17.54 / Avg: 17.54 / Max: 17.54 Min: 17.54 / Avg: 17.65 / Max: 17.86 Min: 17.54 / Avg: 17.8 / Max: 17.86 Min: 21.74 / Avg: 21.74 / Max: 21.74 Min: 21.74 / Avg: 21.74 / Max: 21.74 Min: 21.74 / Avg: 21.74 / Max: 21.74
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 11.50 16.79 23.67 23.72 25.32 26.39 26.57 26.61 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 6 12 18 24 30 Min: 11.47 / Avg: 11.5 / Max: 11.52 Min: 16.7 / Avg: 16.79 / Max: 16.86 Min: 23.59 / Avg: 23.67 / Max: 23.76 Min: 23.68 / Avg: 23.72 / Max: 23.77 Min: 25.3 / Avg: 25.32 / Max: 25.36 Min: 26.35 / Avg: 26.39 / Max: 26.47 Min: 26.51 / Avg: 26.57 / Max: 26.6 Min: 26.56 / Avg: 26.61 / Max: 26.71 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 Core i5 10600K AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5900X AMD 5950X Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.13, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 15.60 7.21 7.14 7.05 7.05 6.90 6.89 6.75 MIN: 15.26 / MAX: 15.67 MIN: 6.6 / MAX: 24.06 MIN: 6.62 / MAX: 24.02 MIN: 6.59 / MAX: 24.04 MIN: 6.61 / MAX: 24.04 MIN: 6.4 / MAX: 30.69 MIN: 6.6 / MAX: 15.48 MIN: 6.65 / MAX: 10.7 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 Core i5 10600K AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5900X AMD 5950X Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X 4 8 12 16 20 Min: 15.58 / Avg: 15.6 / Max: 15.63 Min: 6.99 / Avg: 7.21 / Max: 7.41 Min: 7.06 / Avg: 7.14 / Max: 7.23 Min: 6.93 / Avg: 7.05 / Max: 7.29 Min: 6.94 / Avg: 7.05 / Max: 7.12 Min: 6.77 / Avg: 6.9 / Max: 7.16 Min: 6.82 / Avg: 6.89 / Max: 6.95 Min: 6.72 / Avg: 6.75 / Max: 6.78 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
x264 This is a simple test of the x264 encoder run on the CPU (OpenCL support disabled) with a sample video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better x264 2019-12-17 H.264 Video Encoding Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 40 80 120 160 200 SE +/- 1.09, N = 4 SE +/- 1.30, N = 5 SE +/- 2.37, N = 3 SE +/- 1.44, N = 10 SE +/- 2.52, N = 3 SE +/- 2.74, N = 3 SE +/- 2.66, N = 3 SE +/- 2.06, N = 6 74.34 97.10 154.73 158.60 167.95 168.86 169.32 171.78 1. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better x264 2019-12-17 H.264 Video Encoding Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 30 60 90 120 150 Min: 71.13 / Avg: 74.34 / Max: 76.02 Min: 93.48 / Avg: 97.1 / Max: 99.59 Min: 151.12 / Avg: 154.73 / Max: 159.2 Min: 149.31 / Avg: 158.6 / Max: 163.87 Min: 164.79 / Avg: 167.95 / Max: 172.94 Min: 163.44 / Avg: 168.86 / Max: 172.3 Min: 164.62 / Avg: 169.32 / Max: 173.81 Min: 161.84 / Avg: 171.78 / Max: 176.11 1. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Slow Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 16.67 25.55 30.55 30.65 35.93 37.70 38.43 38.49 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Slow Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X 8 16 24 32 40 Min: 16.66 / Avg: 16.67 / Max: 16.68 Min: 25.52 / Avg: 25.55 / Max: 25.62 Min: 30.46 / Avg: 30.55 / Max: 30.62 Min: 30.55 / Avg: 30.65 / Max: 30.75 Min: 35.67 / Avg: 35.93 / Max: 36.07 Min: 37.57 / Avg: 37.7 / Max: 37.85 Min: 38.39 / Avg: 38.43 / Max: 38.49 Min: 38.37 / Avg: 38.49 / Max: 38.56 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X 0.5558 1.1116 1.6674 2.2232 2.779 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.07 1.15 1.97 2.00 2.00 2.46 2.47 2.47 MAX: 1.08 MIN: 1.14 / MAX: 1.16 MIN: 1.89 / MAX: 2 MIN: 1.95 / MAX: 2.02 MIN: 1.98 / MAX: 2.02 MIN: 2.44 / MAX: 2.49 MIN: 2.45 / MAX: 2.5 MIN: 2.45 / MAX: 2.49
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X 2 4 6 8 10 Min: 1.07 / Avg: 1.07 / Max: 1.08 Min: 1.15 / Avg: 1.15 / Max: 1.15 Min: 1.97 / Avg: 1.97 / Max: 1.98 Min: 2 / Avg: 2 / Max: 2 Min: 2 / Avg: 2 / Max: 2 Min: 2.46 / Avg: 2.46 / Max: 2.46 Min: 2.47 / Avg: 2.47 / Max: 2.48 Min: 2.46 / Avg: 2.47 / Max: 2.48
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 7 14 21 28 35 SE +/- 0.00, N = 12 SE +/- 0.00, N = 15 SE +/- 0.12, N = 5 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.30, N = 3 SE +/- 0.18, N = 5 SE +/- 0.07, N = 13 13.16 13.89 23.93 24.39 24.39 30.01 30.12 30.23 MIN: 12.66 MIN: 13.33 / MAX: 14.71 MIN: 22.73 / MAX: 25.64 MIN: 23.26 / MAX: 25.64 MIN: 23.81 / MAX: 25.64 MIN: 28.57 / MAX: 32.26 MIN: 29.41 / MAX: 32.26 MIN: 29.41 / MAX: 32.26
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 7 14 21 28 35 Min: 13.16 / Avg: 13.16 / Max: 13.16 Min: 13.89 / Avg: 13.89 / Max: 13.89 Min: 23.81 / Avg: 23.93 / Max: 24.39 Min: 24.39 / Avg: 24.39 / Max: 24.39 Min: 24.39 / Avg: 24.39 / Max: 24.39 Min: 29.41 / Avg: 30.01 / Max: 30.3 Min: 29.41 / Avg: 30.12 / Max: 30.3 Min: 29.41 / Avg: 30.23 / Max: 30.3
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Medium Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 17.19 26.11 31.47 31.53 37.07 38.76 39.37 39.42 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Medium Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 8 16 24 32 40 Min: 17.17 / Avg: 17.19 / Max: 17.2 Min: 26.09 / Avg: 26.11 / Max: 26.12 Min: 31.45 / Avg: 31.47 / Max: 31.51 Min: 31.51 / Avg: 31.53 / Max: 31.56 Min: 37.03 / Avg: 37.07 / Max: 37.12 Min: 38.58 / Avg: 38.76 / Max: 38.98 Min: 39.25 / Avg: 39.37 / Max: 39.57 Min: 39.34 / Avg: 39.42 / Max: 39.54 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
SVT-AV1 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 8 - Input: 1080p Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 11 22 33 44 55 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.28, N = 3 SE +/- 0.14, N = 3 SE +/- 0.18, N = 3 SE +/- 0.31, N = 3 SE +/- 0.13, N = 3 SE +/- 0.26, N = 3 21.37 28.05 43.16 43.21 44.82 48.64 48.70 48.95 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 8 - Input: 1080p Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 10 20 30 40 50 Min: 21.32 / Avg: 21.37 / Max: 21.46 Min: 27.95 / Avg: 28.05 / Max: 28.15 Min: 42.74 / Avg: 43.16 / Max: 43.68 Min: 42.95 / Avg: 43.21 / Max: 43.41 Min: 44.48 / Avg: 44.82 / Max: 45.11 Min: 48.19 / Avg: 48.64 / Max: 49.25 Min: 48.44 / Avg: 48.69 / Max: 48.86 Min: 48.55 / Avg: 48.95 / Max: 49.43 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
Timed LLVM Compilation This test times how long it takes to build the LLVM compiler. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 10.0 Time To Compile Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 200 400 600 800 1000 SE +/- 0.74, N = 3 SE +/- 1.16, N = 3 SE +/- 4.40, N = 3 SE +/- 1.34, N = 3 SE +/- 0.90, N = 3 SE +/- 1.07, N = 3 SE +/- 1.59, N = 3 SE +/- 2.39, N = 3 806.40 589.42 408.17 393.21 391.13 358.00 355.89 353.55
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 10.0 Time To Compile Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 140 280 420 560 700 Min: 805.14 / Avg: 806.4 / Max: 807.71 Min: 587.85 / Avg: 589.42 / Max: 591.69 Min: 399.43 / Avg: 408.17 / Max: 413.39 Min: 391 / Avg: 393.21 / Max: 395.63 Min: 389.6 / Avg: 391.13 / Max: 392.73 Min: 356.6 / Avg: 358 / Max: 360.1 Min: 352.89 / Avg: 355.89 / Max: 358.33 Min: 350.51 / Avg: 353.55 / Max: 358.27
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X 1.3436 2.6872 4.0308 5.3744 6.718 SE +/- 0.06501, N = 3 SE +/- 0.00220, N = 3 SE +/- 0.00843, N = 3 SE +/- 0.00752, N = 3 SE +/- 0.00418, N = 3 SE +/- 0.00030, N = 3 SE +/- 0.00835, N = 3 SE +/- 0.00433, N = 3 5.97160 5.95019 2.83062 2.82227 2.81616 2.72416 2.62643 2.61938 MIN: 5.81 MIN: 5.8 MIN: 2.75 MIN: 2.74 MIN: 2.74 MIN: 2.52 MIN: 2.52 MIN: 2.53 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X 2 4 6 8 10 Min: 5.89 / Avg: 5.97 / Max: 6.1 Min: 5.95 / Avg: 5.95 / Max: 5.95 Min: 2.82 / Avg: 2.83 / Max: 2.85 Min: 2.81 / Avg: 2.82 / Max: 2.84 Min: 2.81 / Avg: 2.82 / Max: 2.82 Min: 2.72 / Avg: 2.72 / Max: 2.72 Min: 2.61 / Avg: 2.63 / Max: 2.64 Min: 2.61 / Avg: 2.62 / Max: 2.63 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU Core i5 10600K Ryzen 7 3800XT AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 2 4 6 8 10 SE +/- 0.00328, N = 3 SE +/- 0.00761, N = 3 SE +/- 0.04962, N = 3 SE +/- 0.03712, N = 3 SE +/- 0.00778, N = 3 SE +/- 0.00379, N = 3 SE +/- 0.00125, N = 3 SE +/- 0.00155, N = 3 8.35676 6.37389 4.78969 4.76031 4.74106 3.72460 3.72014 3.70392 MIN: 8.32 MIN: 6.18 MIN: 4.47 MIN: 4.37 MIN: 4.38 MIN: 3.66 MIN: 3.65 MIN: 3.65 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU Core i5 10600K Ryzen 7 3800XT AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 3 6 9 12 15 Min: 8.35 / Avg: 8.36 / Max: 8.36 Min: 6.36 / Avg: 6.37 / Max: 6.39 Min: 4.74 / Avg: 4.79 / Max: 4.89 Min: 4.71 / Avg: 4.76 / Max: 4.83 Min: 4.73 / Avg: 4.74 / Max: 4.75 Min: 3.72 / Avg: 3.72 / Max: 3.73 Min: 3.72 / Avg: 3.72 / Max: 3.72 Min: 3.7 / Avg: 3.7 / Max: 3.71 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
SVT-AV1 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 4 - Input: 1080p Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 2 4 6 8 10 SE +/- 0.009, N = 3 SE +/- 0.004, N = 3 SE +/- 0.031, N = 3 SE +/- 0.022, N = 3 SE +/- 0.060, N = 3 SE +/- 0.023, N = 3 SE +/- 0.019, N = 3 SE +/- 0.034, N = 3 2.715 3.367 5.368 5.391 5.458 6.051 6.052 6.070 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 4 - Input: 1080p Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 2 4 6 8 10 Min: 2.7 / Avg: 2.72 / Max: 2.73 Min: 3.36 / Avg: 3.37 / Max: 3.37 Min: 5.34 / Avg: 5.37 / Max: 5.43 Min: 5.36 / Avg: 5.39 / Max: 5.43 Min: 5.39 / Avg: 5.46 / Max: 5.58 Min: 6.01 / Avg: 6.05 / Max: 6.08 Min: 6.02 / Avg: 6.05 / Max: 6.08 Min: 6.01 / Avg: 6.07 / Max: 6.13 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
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.
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 50K 100K 150K 200K 250K SE +/- 169.10, N = 3 SE +/- 1187.12, N = 3 SE +/- 478.54, N = 3 SE +/- 78.84, N = 3 SE +/- 191.14, N = 3 SE +/- 859.55, N = 3 SE +/- 133.39, N = 3 SE +/- 307.57, N = 3 236302 158202 121470 121363 120484 107615 106857 105861
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 40K 80K 120K 160K 200K Min: 235967 / Avg: 236302.33 / Max: 236508 Min: 156639 / Avg: 158201.67 / Max: 160531 Min: 120911 / Avg: 121469.67 / Max: 122422 Min: 121229 / Avg: 121363.33 / Max: 121502 Min: 120105 / Avg: 120484.33 / Max: 120715 Min: 106170 / Avg: 107615 / Max: 109144 Min: 106717 / Avg: 106857.33 / Max: 107124 Min: 105425 / Avg: 105861.33 / Max: 106455
Nebular Empirical Analysis Tool NEAT is the Nebular Empirical Analysis Tool for empirical analysis of ionised nebulae, with uncertainty propagation. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Nebular Empirical Analysis Tool 2020-02-29 Ryzen 5 2600 Ryzen 5 2600X Core i5 10600K Ryzen 7 3800XT AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 22.84 20.95 19.71 15.10 11.17 11.06 11.01 10.45 10.43 10.34 1. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Nebular Empirical Analysis Tool 2020-02-29 Ryzen 5 2600 Ryzen 5 2600X Core i5 10600K Ryzen 7 3800XT AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 5 10 15 20 25 Min: 22.79 / Avg: 22.84 / Max: 22.89 Min: 20.91 / Avg: 20.95 / Max: 21 Min: 19.64 / Avg: 19.71 / Max: 19.79 Min: 14.95 / Avg: 15.1 / Max: 15.2 Min: 11.13 / Avg: 11.17 / Max: 11.22 Min: 10.98 / Avg: 11.06 / Max: 11.17 Min: 10.92 / Avg: 11.01 / Max: 11.17 Min: 10.42 / Avg: 10.45 / Max: 10.5 Min: 10.41 / Avg: 10.43 / Max: 10.45 Min: 10.21 / Avg: 10.34 / Max: 10.47 1. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace
FFTW FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 4096 Ryzen 5 2600 Ryzen 5 2600X Core i5 10600K Ryzen 7 3800XT AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X 15K 30K 45K 60K 75K SE +/- 196.30, N = 3 SE +/- 92.74, N = 3 SE +/- 497.51, N = 11 SE +/- 677.97, N = 3 SE +/- 170.65, N = 3 SE +/- 611.58, N = 3 SE +/- 1029.94, N = 3 SE +/- 593.17, N = 15 SE +/- 993.48, N = 3 SE +/- 569.41, N = 15 32901 35229 56430 57147 70107 70366 70529 70771 71099 71254 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 4096 Ryzen 5 2600 Ryzen 5 2600X Core i5 10600K Ryzen 7 3800XT AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X 12K 24K 36K 48K 60K Min: 32590 / Avg: 32901 / Max: 33264 Min: 35047 / Avg: 35229.33 / Max: 35350 Min: 53596 / Avg: 56429.55 / Max: 59186 Min: 56027 / Avg: 57147.33 / Max: 58369 Min: 69924 / Avg: 70107 / Max: 70448 Min: 69456 / Avg: 70366.33 / Max: 71529 Min: 68839 / Avg: 70529.33 / Max: 72394 Min: 67832 / Avg: 70770.53 / Max: 75257 Min: 69596 / Avg: 71099 / Max: 72976 Min: 65192 / Avg: 71253.67 / Max: 73429 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
x265 This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 4K Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 6 12 18 24 30 SE +/- 0.14, N = 3 SE +/- 0.17, N = 3 SE +/- 0.06, N = 3 SE +/- 0.13, N = 3 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 12.26 12.39 23.29 23.34 24.09 26.20 26.51 26.55 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 4K Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 6 12 18 24 30 Min: 11.98 / Avg: 12.26 / Max: 12.44 Min: 12.12 / Avg: 12.39 / Max: 12.71 Min: 23.16 / Avg: 23.29 / Max: 23.35 Min: 23.13 / Avg: 23.34 / Max: 23.58 Min: 23.89 / Avg: 24.09 / Max: 24.24 Min: 25.9 / Avg: 26.2 / Max: 26.44 Min: 26.42 / Avg: 26.51 / Max: 26.63 Min: 26.53 / Avg: 26.55 / Max: 26.58 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
NeatBench NeatBench is a benchmark of the cross-platform Neat Video software on the CPU and optional GPU (OpenCL / CUDA) support. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better NeatBench 5 Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 7 14 21 28 35 SE +/- 0.03, N = 3 SE +/- 0.15, N = 3 SE +/- 0.13, N = 3 SE +/- 0.28, N = 3 SE +/- 0.07, N = 3 SE +/- 0.22, N = 3 SE +/- 0.15, N = 3 SE +/- 0.17, N = 3 14.3 21.2 28.0 28.1 28.6 29.1 29.4 30.1
Result Confidence
OpenBenchmarking.org FPS, More Is Better NeatBench 5 Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 7 14 21 28 35 Min: 14.3 / Avg: 14.33 / Max: 14.4 Min: 20.9 / Avg: 21.17 / Max: 21.4 Min: 27.9 / Avg: 28.03 / Max: 28.3 Min: 27.5 / Avg: 28.07 / Max: 28.4 Min: 28.5 / Avg: 28.63 / Max: 28.7 Min: 28.8 / Avg: 29.07 / Max: 29.5 Min: 29.2 / Avg: 29.43 / Max: 29.7 Min: 29.8 / Avg: 30.1 / Max: 30.4
Numenta Anomaly Benchmark Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Relative Entropy Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 6 12 18 24 30 SE +/- 0.36, N = 15 SE +/- 0.17, N = 3 SE +/- 0.15, N = 3 SE +/- 0.16, N = 5 SE +/- 0.11, N = 12 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 25.77 19.34 13.37 13.21 13.14 12.41 12.38 12.26
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Relative Entropy Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 6 12 18 24 30 Min: 24.34 / Avg: 25.76 / Max: 28.78 Min: 19 / Avg: 19.34 / Max: 19.55 Min: 13.1 / Avg: 13.37 / Max: 13.6 Min: 12.83 / Avg: 13.21 / Max: 13.76 Min: 12.73 / Avg: 13.14 / Max: 13.82 Min: 12.32 / Avg: 12.41 / Max: 12.49 Min: 12.33 / Avg: 12.38 / Max: 12.42 Min: 12.15 / Avg: 12.26 / Max: 12.46
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X 6 12 18 24 30 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.16, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 12.25 12.47 20.30 20.59 20.66 25.61 25.69 25.72 MIN: 12.09 / MAX: 12.47 MIN: 12.36 / MAX: 12.68 MIN: 20.13 / MAX: 20.75 MIN: 20.43 / MAX: 21.04 MIN: 20.44 / MAX: 21.17 MIN: 25.33 / MAX: 26.42 MIN: 25.47 / MAX: 26.29 MIN: 25.39 / MAX: 26.12
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X 6 12 18 24 30 Min: 12.16 / Avg: 12.25 / Max: 12.32 Min: 12.44 / Avg: 12.47 / Max: 12.52 Min: 20.28 / Avg: 20.3 / Max: 20.31 Min: 20.56 / Avg: 20.59 / Max: 20.63 Min: 20.55 / Avg: 20.66 / Max: 20.82 Min: 25.44 / Avg: 25.61 / Max: 25.94 Min: 25.61 / Avg: 25.69 / Max: 25.73 Min: 25.58 / Avg: 25.72 / Max: 25.82
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 70 140 210 280 350 SE +/- 0.89, N = 3 SE +/- 0.34, N = 3 SE +/- 0.46, N = 3 SE +/- 0.33, N = 3 SE +/- 0.10, N = 3 SE +/- 0.27, N = 3 SE +/- 0.37, N = 3 SE +/- 0.22, N = 3 333.72 243.64 192.24 176.28 175.81 160.47 160.20 159.41 MIN: 328.5 MIN: 241.64 MIN: 180.53 MIN: 175.02 MIN: 174.94 MIN: 159.25 MIN: 158.98 MIN: 158.25 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 60 120 180 240 300 Min: 331.95 / Avg: 333.72 / Max: 334.71 Min: 242.95 / Avg: 243.64 / Max: 244 Min: 191.58 / Avg: 192.24 / Max: 193.12 Min: 175.73 / Avg: 176.27 / Max: 176.86 Min: 175.62 / Avg: 175.81 / Max: 175.95 Min: 160.05 / Avg: 160.47 / Max: 160.98 Min: 159.53 / Avg: 160.2 / Max: 160.8 Min: 159.06 / Avg: 159.41 / Max: 159.81 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.16, N = 4 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.17, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 10.92 10.93 18.01 18.20 18.20 22.46 22.61 22.76 MIN: 10.86 / MAX: 11.08 MIN: 10.41 / MAX: 11.24 MIN: 17.83 / MAX: 18.42 MIN: 17.7 / MAX: 18.57 MIN: 18.05 / MAX: 18.61 MIN: 21.88 / MAX: 23.08 MIN: 22.49 / MAX: 22.88 MIN: 22.6 / MAX: 23.2
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 5 10 15 20 25 Min: 10.92 / Avg: 10.92 / Max: 10.94 Min: 10.46 / Avg: 10.93 / Max: 11.11 Min: 17.97 / Avg: 18.01 / Max: 18.04 Min: 18.1 / Avg: 18.2 / Max: 18.29 Min: 18.15 / Avg: 18.2 / Max: 18.24 Min: 22.12 / Avg: 22.46 / Max: 22.68 Min: 22.59 / Avg: 22.61 / Max: 22.62 Min: 22.74 / Avg: 22.76 / Max: 22.8
Numenta Anomaly Benchmark Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Windowed Gaussian Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X 4 8 12 16 20 SE +/- 0.064, N = 3 SE +/- 0.017, N = 3 SE +/- 0.070, N = 3 SE +/- 0.077, N = 3 SE +/- 0.080, N = 3 SE +/- 0.069, N = 3 SE +/- 0.075, N = 6 SE +/- 0.064, N = 3 14.018 9.728 7.382 7.375 7.337 6.902 6.791 6.729
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Windowed Gaussian Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X 4 8 12 16 20 Min: 13.9 / Avg: 14.02 / Max: 14.11 Min: 9.7 / Avg: 9.73 / Max: 9.76 Min: 7.26 / Avg: 7.38 / Max: 7.51 Min: 7.23 / Avg: 7.38 / Max: 7.48 Min: 7.19 / Avg: 7.34 / Max: 7.46 Min: 6.79 / Avg: 6.9 / Max: 7.03 Min: 6.59 / Avg: 6.79 / Max: 7.12 Min: 6.61 / Avg: 6.73 / Max: 6.83
FFTW FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 4096 Ryzen 5 2600 Ryzen 7 3800XT Core i5 10600K Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X 7K 14K 21K 28K 35K SE +/- 135.00, N = 3 SE +/- 168.29, N = 3 SE +/- 190.90, N = 3 SE +/- 403.54, N = 9 SE +/- 316.32, N = 9 SE +/- 202.26, N = 3 SE +/- 369.26, N = 3 SE +/- 630.46, N = 9 SE +/- 178.40, N = 3 15371 23988 26432 30775 30816 30954 31484 31577 31965 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 4096 Ryzen 5 2600 Ryzen 7 3800XT Core i5 10600K Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X 6K 12K 18K 24K 30K Min: 15117 / Avg: 15371.33 / Max: 15577 Min: 23653 / Avg: 23988.33 / Max: 24181 Min: 26198 / Avg: 26431.67 / Max: 26810 Min: 29219 / Avg: 30774.67 / Max: 32126 Min: 29249 / Avg: 30815.56 / Max: 31911 Min: 30564 / Avg: 30954 / Max: 31242 Min: 30766 / Avg: 31484.33 / Max: 31992 Min: 29202 / Avg: 31576.78 / Max: 35223 Min: 31640 / Avg: 31965 / Max: 32255 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Build2 This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Build2 0.12 Time To Compile Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X 30 60 90 120 150 SE +/- 0.64, N = 3 SE +/- 0.06, N = 3 SE +/- 0.18, N = 3 SE +/- 0.20, N = 3 SE +/- 0.30, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 SE +/- 0.11, N = 3 134.44 97.22 70.15 69.89 69.70 65.44 65.40 65.34
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Build2 0.12 Time To Compile Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X 30 60 90 120 150 Min: 133.27 / Avg: 134.44 / Max: 135.48 Min: 97.12 / Avg: 97.22 / Max: 97.32 Min: 69.95 / Avg: 70.15 / Max: 70.5 Min: 69.56 / Avg: 69.89 / Max: 70.24 Min: 69.32 / Avg: 69.7 / Max: 70.3 Min: 65.33 / Avg: 65.44 / Max: 65.57 Min: 65.24 / Avg: 65.4 / Max: 65.65 Min: 65.15 / Avg: 65.34 / Max: 65.52
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: Path Tracer Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X AMD 5900X 70 140 210 280 350 SE +/- 2.16, N = 15 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 163.49 166.67 333.33 333.33 333.33 333.33 333.33 333.33 MIN: 111.11 / MAX: 166.67 MIN: 142.86 / MAX: 200 MIN: 200 MIN: 250 / MAX: 500 MIN: 142.86 / MAX: 500 MIN: 250 / MAX: 500 MIN: 250 MIN: 250
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: Path Tracer Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X AMD 5900X 60 120 180 240 300 Min: 142.86 / Avg: 163.49 / Max: 166.67 Min: 166.67 / Avg: 166.67 / Max: 166.67 Min: 333.33 / Avg: 333.33 / Max: 333.33 Min: 333.33 / Avg: 333.33 / Max: 333.33 Min: 333.33 / Avg: 333.33 / Max: 333.33 Min: 333.33 / Avg: 333.33 / Max: 333.33 Min: 333.33 / Avg: 333.33 / Max: 333.33 Min: 333.33 / Avg: 333.33 / Max: 333.33
Numenta Anomaly Benchmark Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Bayesian Changepoint Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 10 20 30 40 50 SE +/- 0.49, N = 6 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 44.52 33.07 23.16 23.14 22.57 22.15 22.07 21.90
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Bayesian Changepoint Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 9 18 27 36 45 Min: 43.42 / Avg: 44.52 / Max: 46.77 Min: 32.83 / Avg: 33.07 / Max: 33.21 Min: 23.09 / Avg: 23.16 / Max: 23.26 Min: 23.11 / Avg: 23.14 / Max: 23.19 Min: 22.46 / Avg: 22.57 / Max: 22.73 Min: 22.03 / Avg: 22.15 / Max: 22.26 Min: 21.87 / Avg: 22.07 / Max: 22.19 Min: 21.81 / Avg: 21.9 / Max: 22.04
FFTW FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 32 Ryzen 5 2600 Ryzen 5 2600X Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5950X AMD 5900X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X Ryzen 9 5900X 3K 6K 9K 12K 15K SE +/- 1.96, N = 3 SE +/- 7.31, N = 3 SE +/- 56.81, N = 3 SE +/- 144.53, N = 3 SE +/- 92.96, N = 3 SE +/- 102.38, N = 3 SE +/- 65.21, N = 3 SE +/- 13.35, N = 3 SE +/- 147.22, N = 3 SE +/- 221.30, N = 3 7701.6 8201.2 9935.8 11697.0 15213.0 15255.0 15317.0 15326.0 15358.0 15615.0 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 32 Ryzen 5 2600 Ryzen 5 2600X Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5950X AMD 5900X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X Ryzen 9 5900X 3K 6K 9K 12K 15K Min: 7698.2 / Avg: 7701.6 / Max: 7705 Min: 8192.6 / Avg: 8201.17 / Max: 8215.7 Min: 9864.3 / Avg: 9935.77 / Max: 10048 Min: 11547 / Avg: 11697 / Max: 11986 Min: 15051 / Avg: 15212.67 / Max: 15373 Min: 15060 / Avg: 15254.67 / Max: 15407 Min: 15243 / Avg: 15317 / Max: 15447 Min: 15312 / Avg: 15326.33 / Max: 15353 Min: 15193 / Avg: 15358.33 / Max: 15652 Min: 15173 / Avg: 15615 / Max: 15856 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 0 Core i5 10600K Ryzen 7 3800XT AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 20 40 60 80 100 SE +/- 0.34, N = 3 SE +/- 0.33, N = 3 SE +/- 0.13, N = 3 SE +/- 0.25, N = 3 SE +/- 0.22, N = 3 SE +/- 0.10, N = 3 SE +/- 0.14, N = 3 SE +/- 0.29, N = 3 105.80 80.53 58.01 57.75 57.74 52.71 52.44 52.34 1. (CXX) g++ options: -O3 -fPIC
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 0 Core i5 10600K Ryzen 7 3800XT AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 20 40 60 80 100 Min: 105.18 / Avg: 105.79 / Max: 106.36 Min: 79.9 / Avg: 80.53 / Max: 81 Min: 57.86 / Avg: 58.01 / Max: 58.26 Min: 57.43 / Avg: 57.75 / Max: 58.24 Min: 57.41 / Avg: 57.74 / Max: 58.17 Min: 52.56 / Avg: 52.71 / Max: 52.88 Min: 52.17 / Avg: 52.44 / Max: 52.67 Min: 52.02 / Avg: 52.34 / Max: 52.92 1. (CXX) g++ options: -O3 -fPIC
FFTW FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 32 Ryzen 5 2600 Ryzen 5 2600X Ryzen 7 3800XT Core i5 10600K AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5900X AMD 5900X 13K 26K 39K 52K 65K SE +/- 69.63, N = 3 SE +/- 22.34, N = 3 SE +/- 94.67, N = 3 SE +/- 470.34, N = 3 SE +/- 732.95, N = 3 SE +/- 652.52, N = 12 SE +/- 974.59, N = 3 SE +/- 281.50, N = 3 SE +/- 913.44, N = 3 SE +/- 185.99, N = 3 31128 33228 47055 54632 59901 60155 60497 61123 62162 62273 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 32 Ryzen 5 2600 Ryzen 5 2600X Ryzen 7 3800XT Core i5 10600K AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5900X AMD 5900X 11K 22K 33K 44K 55K Min: 30991 / Avg: 31128.33 / Max: 31217 Min: 33183 / Avg: 33227.67 / Max: 33251 Min: 46872 / Avg: 47055.33 / Max: 47188 Min: 53770 / Avg: 54632.33 / Max: 55389 Min: 58629 / Avg: 59901 / Max: 61168 Min: 53974 / Avg: 60155.25 / Max: 61909 Min: 58736 / Avg: 60497.33 / Max: 62101 Min: 60813 / Avg: 61123 / Max: 61685 Min: 61044 / Avg: 62161.67 / Max: 63972 Min: 61936 / Avg: 62272.67 / Max: 62578 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Pennant Pennant is an application focused on hydrodynamics on general unstructured meshes in 2D. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Hydro Cycle Time - Seconds, Fewer Is Better Pennant 1.0.1 Test: leblancbig AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X Core i5 10600K Ryzen 7 3800XT Ryzen 5 2600 800 1600 2400 3200 4000 SE +/- 0.69, N = 3 SE +/- 1.79, N = 3 SE +/- 0.71, N = 3 SE +/- 0.02, N = 3 SE +/- 0.14, N = 3 SE +/- 0.57, N = 3 SE +/- 1.20, N = 3 SE +/- 0.49, N = 3 SE +/- 0.09, N = 3 3829.68 3829.40 3827.41 2857.41 2844.08 2842.90 2441.47 1870.03 222.30 1. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
Result Confidence
OpenBenchmarking.org Hydro Cycle Time - Seconds, Fewer Is Better Pennant 1.0.1 Test: leblancbig AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X Core i5 10600K Ryzen 7 3800XT Ryzen 5 2600 700 1400 2100 2800 3500 Min: 3828.29 / Avg: 3829.68 / Max: 3830.38 Min: 3826.06 / Avg: 3829.4 / Max: 3832.2 Min: 3826.48 / Avg: 3827.41 / Max: 3828.8 Min: 2857.38 / Avg: 2857.41 / Max: 2857.45 Min: 2843.8 / Avg: 2844.08 / Max: 2844.24 Min: 2841.99 / Avg: 2842.9 / Max: 2843.96 Min: 2439.28 / Avg: 2441.47 / Max: 2443.44 Min: 1869.06 / Avg: 1870.03 / Max: 1870.59 Min: 222.18 / Avg: 222.3 / Max: 222.48 1. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
Result
OpenBenchmarking.org Hydro Cycle Time - Seconds, Fewer Is Better Pennant 1.0.1 Test: sedovbig Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X Core i5 10600K Ryzen 7 3800XT Ryzen 5 2600 900 1800 2700 3600 4500 SE +/- 1.74, N = 3 SE +/- 1.14, N = 3 SE +/- 3.35, N = 3 SE +/- 0.65, N = 3 SE +/- 0.42, N = 3 SE +/- 0.51, N = 3 SE +/- 1.37, N = 3 SE +/- 0.36, N = 3 SE +/- 0.10, N = 3 4010.59 4004.08 4001.18 2979.92 2969.63 2962.70 2577.13 1948.20 248.67 1. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
Result Confidence
OpenBenchmarking.org Hydro Cycle Time - Seconds, Fewer Is Better Pennant 1.0.1 Test: sedovbig Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X Core i5 10600K Ryzen 7 3800XT Ryzen 5 2600 700 1400 2100 2800 3500 Min: 4007.72 / Avg: 4010.59 / Max: 4013.72 Min: 4001.9 / Avg: 4004.08 / Max: 4005.74 Min: 3995.73 / Avg: 4001.18 / Max: 4007.28 Min: 2978.63 / Avg: 2979.92 / Max: 2980.68 Min: 2969.02 / Avg: 2969.63 / Max: 2970.44 Min: 2961.72 / Avg: 2962.7 / Max: 2963.43 Min: 2574.93 / Avg: 2577.13 / Max: 2579.65 Min: 1947.47 / Avg: 1948.2 / Max: 1948.61 Min: 248.49 / Avg: 248.67 / Max: 248.82 1. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
Algebraic Multi-Grid Benchmark AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Figure Of Merit, More Is Better Algebraic Multi-Grid Benchmark Core i5 10600K Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X Ryzen 7 3800XT Ryzen 5 2600 Ryzen 5 2600X 60K 120K 180K 240K 300K SE +/- 52.40, N = 3 SE +/- 10.19, N = 3 SE +/- 14.01, N = 3 SE +/- 15.55, N = 3 SE +/- 10.94, N = 3 SE +/- 21.63, N = 3 SE +/- 16.30, N = 3 SE +/- 24.08, N = 3 SE +/- 496.72, N = 3 SE +/- 300.37, N = 3 18231.64 28073.85 28098.82 28169.46 28173.67 28255.08 28344.59 29671.69 255943.40 281938.40 1. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
Result Confidence
OpenBenchmarking.org Figure Of Merit, More Is Better Algebraic Multi-Grid Benchmark Core i5 10600K Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X Ryzen 7 3800XT Ryzen 5 2600 Ryzen 5 2600X 50K 100K 150K 200K 250K Min: 18142.6 / Avg: 18231.64 / Max: 18324.01 Min: 28057.24 / Avg: 28073.85 / Max: 28092.38 Min: 28073.13 / Avg: 28098.82 / Max: 28121.36 Min: 28150.38 / Avg: 28169.46 / Max: 28200.27 Min: 28157.92 / Avg: 28173.67 / Max: 28194.71 Min: 28230.52 / Avg: 28255.08 / Max: 28298.2 Min: 28312 / Avg: 28344.59 / Max: 28361.82 Min: 29646.13 / Avg: 29671.69 / Max: 29719.82 Min: 254963.7 / Avg: 255943.4 / Max: 256575.8 Min: 281377.4 / Avg: 281938.37 / Max: 282405 1. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet18 Core i5 10600K Ryzen 7 3800XT Ryzen 9 5950X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 22.37 1.53 1.53 1.53 1.52 1.52 1.52 1.52 MIN: 22.09 / MAX: 22.54 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet18 Core i5 10600K Ryzen 7 3800XT Ryzen 9 5950X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X 5 10 15 20 25 Min: 22.35 / Avg: 22.37 / Max: 22.39 Min: 1.53 / Avg: 1.53 / Max: 1.54 Min: 1.52 / Avg: 1.53 / Max: 1.55 Min: 1.52 / Avg: 1.53 / Max: 1.53 Min: 1.51 / Avg: 1.52 / Max: 1.53 Min: 1.51 / Avg: 1.52 / Max: 1.52 Min: 1.52 / Avg: 1.52 / Max: 1.52 Min: 1.51 / Avg: 1.52 / Max: 1.53 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: vgg16 Core i5 10600K Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X 30 60 90 120 150 SE +/- 0.83, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 137.49 13.14 13.10 12.84 12.78 12.74 12.69 12.57 MIN: 135.88 / MAX: 142.84 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: vgg16 Core i5 10600K Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X 30 60 90 120 150 Min: 136.58 / Avg: 137.49 / Max: 139.15 Min: 13.04 / Avg: 13.14 / Max: 13.29 Min: 13.07 / Avg: 13.1 / Max: 13.14 Min: 12.74 / Avg: 12.84 / Max: 12.97 Min: 12.61 / Avg: 12.78 / Max: 12.88 Min: 12.56 / Avg: 12.74 / Max: 12.86 Min: 12.65 / Avg: 12.69 / Max: 12.73 Min: 12.55 / Avg: 12.57 / Max: 12.59 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet50 Core i5 10600K Ryzen 9 5950X Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5900X 11 22 33 44 55 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 47.35 4.50 4.42 4.41 4.41 4.41 4.41 4.41 MIN: 46.63 / MAX: 47.68 MIN: 4.38 / MAX: 19.37 MIN: 4.38 / MAX: 4.57 MIN: 4.38 / MAX: 4.62 MIN: 4.37 / MAX: 4.59 MIN: 4.38 / MAX: 8.34 MIN: 4.37 / MAX: 4.67 MIN: 4.37 / MAX: 4.65 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet50 Core i5 10600K Ryzen 9 5950X Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5900X 10 20 30 40 50 Min: 47.33 / Avg: 47.35 / Max: 47.37 Min: 4.41 / Avg: 4.5 / Max: 4.61 Min: 4.4 / Avg: 4.42 / Max: 4.44 Min: 4.41 / Avg: 4.41 / Max: 4.41 Min: 4.4 / Avg: 4.41 / Max: 4.41 Min: 4.41 / Avg: 4.41 / Max: 4.42 Min: 4.4 / Avg: 4.41 / Max: 4.42 Min: 4.41 / Avg: 4.41 / Max: 4.41 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 2 Core i5 10600K Ryzen 7 3800XT AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X 14 28 42 56 70 SE +/- 0.35, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 SE +/- 0.14, N = 3 63.78 48.45 35.55 35.29 35.25 32.11 32.05 31.98 1. (CXX) g++ options: -O3 -fPIC
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 2 Core i5 10600K Ryzen 7 3800XT AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X 12 24 36 48 60 Min: 63.08 / Avg: 63.78 / Max: 64.19 Min: 48.29 / Avg: 48.45 / Max: 48.56 Min: 35.45 / Avg: 35.55 / Max: 35.74 Min: 35.02 / Avg: 35.29 / Max: 35.61 Min: 35.03 / Avg: 35.25 / Max: 35.42 Min: 31.89 / Avg: 32.11 / Max: 32.33 Min: 31.93 / Avg: 32.05 / Max: 32.17 Min: 31.71 / Avg: 31.98 / Max: 32.16 1. (CXX) g++ options: -O3 -fPIC
Timed ImageMagick Compilation This test times how long it takes to build ImageMagick. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed ImageMagick Compilation 6.9.0 Time To Compile Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 8 16 24 32 40 SE +/- 0.16, N = 3 SE +/- 0.16, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 35.65 27.93 19.52 19.44 19.24 18.23 18.18 18.07
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed ImageMagick Compilation 6.9.0 Time To Compile Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 8 16 24 32 40 Min: 35.43 / Avg: 35.65 / Max: 35.96 Min: 27.62 / Avg: 27.93 / Max: 28.17 Min: 19.5 / Avg: 19.52 / Max: 19.55 Min: 19.33 / Avg: 19.44 / Max: 19.52 Min: 19.11 / Avg: 19.24 / Max: 19.39 Min: 18.06 / Avg: 18.23 / Max: 18.5 Min: 18.05 / Avg: 18.18 / Max: 18.26 Min: 18.03 / Avg: 18.07 / Max: 18.14
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X Ryzen 9 5900X 30 60 90 120 150 SE +/- 0.17, N = 3 SE +/- 0.25, N = 3 SE +/- 0.15, N = 3 SE +/- 0.73, N = 3 SE +/- 0.47, N = 3 SE +/- 0.35, N = 3 SE +/- 0.63, N = 3 SE +/- 0.30, N = 3 79.79 112.29 131.31 131.77 154.52 154.96 155.39 156.88 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X Ryzen 9 5900X 30 60 90 120 150 Min: 79.53 / Avg: 79.79 / Max: 80.1 Min: 111.91 / Avg: 112.29 / Max: 112.76 Min: 131.1 / Avg: 131.31 / Max: 131.61 Min: 130.68 / Avg: 131.77 / Max: 133.16 Min: 153.77 / Avg: 154.52 / Max: 155.39 Min: 154.26 / Avg: 154.96 / Max: 155.38 Min: 154.67 / Avg: 155.39 / Max: 156.64 Min: 156.28 / Avg: 156.88 / Max: 157.18 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Intel Open Image Denoise Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 1.2.0 Scene: Memorial Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 4 8 12 16 20 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 6.95 7.64 11.77 11.84 11.85 13.60 13.63 13.66
Result Confidence
OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 1.2.0 Scene: Memorial Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 4 8 12 16 20 Min: 6.95 / Avg: 6.95 / Max: 6.95 Min: 7.63 / Avg: 7.64 / Max: 7.66 Min: 11.76 / Avg: 11.77 / Max: 11.78 Min: 11.65 / Avg: 11.84 / Max: 11.96 Min: 11.83 / Avg: 11.85 / Max: 11.86 Min: 13.58 / Avg: 13.6 / Max: 13.61 Min: 13.59 / Avg: 13.63 / Max: 13.66 Min: 13.64 / Avg: 13.66 / Max: 13.67
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Very Fast Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.34, N = 3 SE +/- 0.27, N = 3 SE +/- 0.02, N = 3 SE +/- 0.32, N = 3 SE +/- 0.14, N = 3 SE +/- 0.05, N = 3 44.65 59.67 69.64 69.93 85.42 86.07 86.15 87.15 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Very Fast Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 20 40 60 80 100 Min: 44.59 / Avg: 44.65 / Max: 44.7 Min: 59.63 / Avg: 59.67 / Max: 59.7 Min: 69.14 / Avg: 69.64 / Max: 70.3 Min: 69.62 / Avg: 69.93 / Max: 70.46 Min: 85.39 / Avg: 85.42 / Max: 85.44 Min: 85.47 / Avg: 86.07 / Max: 86.57 Min: 85.95 / Avg: 86.15 / Max: 86.41 Min: 87.07 / Avg: 87.15 / Max: 87.24 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 0.5558 1.1116 1.6674 2.2232 2.779 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 1.27 1.53 2.16 2.18 2.22 2.45 2.46 2.47 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result Confidence
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 2 4 6 8 10 Min: 1.27 / Avg: 1.27 / Max: 1.28 Min: 1.49 / Avg: 1.53 / Max: 1.56 Min: 2.14 / Avg: 2.16 / Max: 2.18 Min: 2.15 / Avg: 2.18 / Max: 2.21 Min: 2.21 / Avg: 2.22 / Max: 2.24 Min: 2.44 / Avg: 2.45 / Max: 2.45 Min: 2.42 / Avg: 2.46 / Max: 2.48 Min: 2.46 / Avg: 2.47 / Max: 2.48 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
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.
Result
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: BLAS Core i5 10600K AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X Ryzen 5 2600 Ryzen 5 2600X Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X Ryzen 7 3800XT 150 300 450 600 750 SE +/- 2.91, N = 3 SE +/- 4.16, N = 3 SE +/- 6.98, N = 3 SE +/- 1.73, N = 3 SE +/- 6.77, N = 3 SE +/- 5.93, N = 7 SE +/- 6.03, N = 3 SE +/- 2.85, N = 3 SE +/- 11.55, N = 3 369 412 415 419 443 453 554 581 582 716 1. (CXX) g++ options: -flto -pthread
Result Confidence
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: BLAS Core i5 10600K AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X Ryzen 5 2600 Ryzen 5 2600X Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X Ryzen 7 3800XT 130 260 390 520 650 Min: 407 / Avg: 412.33 / Max: 417 Min: 409 / Avg: 415 / Max: 423 Min: 410 / Avg: 419.33 / Max: 433 Min: 440 / Avg: 443 / Max: 446 Min: 444 / Avg: 452.67 / Max: 466 Min: 541 / Avg: 553.86 / Max: 587 Min: 569 / Avg: 581 / Max: 588 Min: 579 / Avg: 582.33 / Max: 588 Min: 696 / Avg: 716 / Max: 736 1. (CXX) g++ options: -flto -pthread
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 0.558 1.116 1.674 2.232 2.79 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 1.28 1.56 2.20 2.21 2.24 2.45 2.47 2.48 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result Confidence
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 2 4 6 8 10 Min: 1.27 / Avg: 1.28 / Max: 1.3 Min: 1.56 / Avg: 1.56 / Max: 1.56 Min: 2.14 / Avg: 2.2 / Max: 2.25 Min: 2.2 / Avg: 2.21 / Max: 2.22 Min: 2.24 / Avg: 2.24 / Max: 2.24 Min: 2.41 / Avg: 2.45 / Max: 2.49 Min: 2.43 / Avg: 2.47 / Max: 2.49 Min: 2.45 / Avg: 2.48 / Max: 2.5 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
G'MIC G'MIC is an open-source framework for image processing. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better G'MIC Test: 3D Elevated Function In Random Colors, 100 Times Ryzen 7 3800XT Core i5 10600K Ryzen 9 5950X AMD Ryzen 9 5950X Ryzen 9 5900X AMD 5950X AMD 5900X AMD Ryzen 9 5900X 20 40 60 80 100 SE +/- 0.68, N = 3 SE +/- 0.01, N = 3 SE +/- 0.14, N = 3 SE +/- 0.11, N = 3 SE +/- 0.32, N = 3 SE +/- 0.16, N = 3 SE +/- 0.27, N = 3 SE +/- 0.10, N = 3 76.69 58.34 40.77 40.48 40.39 40.38 40.27 39.92 1. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better G'MIC Test: 3D Elevated Function In Random Colors, 100 Times Ryzen 7 3800XT Core i5 10600K Ryzen 9 5950X AMD Ryzen 9 5950X Ryzen 9 5900X AMD 5950X AMD 5900X AMD Ryzen 9 5900X 15 30 45 60 75 Min: 75.33 / Avg: 76.69 / Max: 77.46 Min: 58.33 / Avg: 58.34 / Max: 58.36 Min: 40.54 / Avg: 40.77 / Max: 41.03 Min: 40.33 / Avg: 40.48 / Max: 40.7 Min: 39.76 / Avg: 40.39 / Max: 40.76 Min: 40.18 / Avg: 40.38 / Max: 40.69 Min: 39.92 / Avg: 40.27 / Max: 40.8 Min: 39.73 / Avg: 39.92 / Max: 40.06 1. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OCRMyPDF OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better OCRMyPDF 9.6.0+dfsg Processing 60 Page PDF Document Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 7 14 21 28 35 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.15, N = 3 SE +/- 0.09, N = 3 SE +/- 0.16, N = 3 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 29.50 24.30 17.30 17.28 17.16 15.60 15.49 15.49
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better OCRMyPDF 9.6.0+dfsg Processing 60 Page PDF Document Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 7 14 21 28 35 Min: 29.37 / Avg: 29.5 / Max: 29.67 Min: 24.17 / Avg: 24.3 / Max: 24.45 Min: 17.05 / Avg: 17.3 / Max: 17.52 Min: 17.06 / Avg: 17.28 / Max: 17.56 Min: 17.03 / Avg: 17.16 / Max: 17.33 Min: 15.28 / Avg: 15.6 / Max: 15.79 Min: 15.31 / Avg: 15.49 / Max: 15.76 Min: 15.36 / Avg: 15.49 / Max: 15.58
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 0.8168 1.6336 2.4504 3.2672 4.084 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 1.93 2.12 3.05 3.06 3.29 3.61 3.62 3.63 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result Confidence
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 2 4 6 8 10 Min: 1.92 / Avg: 1.93 / Max: 1.94 Min: 2.11 / Avg: 2.12 / Max: 2.12 Min: 3.04 / Avg: 3.05 / Max: 3.06 Min: 3.05 / Avg: 3.06 / Max: 3.07 Min: 3.26 / Avg: 3.29 / Max: 3.33 Min: 3.6 / Avg: 3.61 / Max: 3.63 Min: 3.58 / Avg: 3.62 / Max: 3.64 Min: 3.61 / Avg: 3.63 / Max: 3.65 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Timed MAFFT Alignment This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Ryzen 5 2600 Ryzen 7 3800XT Core i5 10600K AMD 5950X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X Ryzen 9 5900X 3 6 9 12 15 SE +/- 0.056, N = 3 SE +/- 0.087, N = 3 SE +/- 0.019, N = 3 SE +/- 0.023, N = 3 SE +/- 0.023, N = 3 SE +/- 0.013, N = 3 SE +/- 0.052, N = 3 SE +/- 0.014, N = 3 SE +/- 0.039, N = 3 13.465 11.214 8.662 7.468 7.437 7.384 7.372 7.352 7.225 1. (CC) gcc options: -std=c99 -O3 -lm -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Ryzen 5 2600 Ryzen 7 3800XT Core i5 10600K AMD 5950X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X Ryzen 9 5900X 4 8 12 16 20 Min: 13.37 / Avg: 13.46 / Max: 13.56 Min: 11.09 / Avg: 11.21 / Max: 11.38 Min: 8.64 / Avg: 8.66 / Max: 8.7 Min: 7.42 / Avg: 7.47 / Max: 7.5 Min: 7.41 / Avg: 7.44 / Max: 7.48 Min: 7.36 / Avg: 7.38 / Max: 7.41 Min: 7.28 / Avg: 7.37 / Max: 7.46 Min: 7.33 / Avg: 7.35 / Max: 7.38 Min: 7.15 / Avg: 7.23 / Max: 7.28 1. (CC) gcc options: -std=c99 -O3 -lm -lpthread
FFTW FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 32 Ryzen 5 2600 Ryzen 5 2600X Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5950X AMD 5900X Ryzen 9 5950X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5900X 5K 10K 15K 20K 25K SE +/- 115.82, N = 3 SE +/- 147.89, N = 3 SE +/- 202.40, N = 3 SE +/- 74.14, N = 3 SE +/- 111.34, N = 3 SE +/- 304.53, N = 4 SE +/- 184.11, N = 15 SE +/- 280.09, N = 3 SE +/- 176.91, N = 3 SE +/- 154.15, N = 3 12008 12821 16284 17764 21519 21605 21723 21981 22322 22355 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 32 Ryzen 5 2600 Ryzen 5 2600X Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5950X AMD 5900X Ryzen 9 5950X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5900X 4K 8K 12K 16K 20K Min: 11804 / Avg: 12008.33 / Max: 12205 Min: 12526 / Avg: 12821 / Max: 12987 Min: 16017 / Avg: 16284 / Max: 16681 Min: 17622 / Avg: 17764 / Max: 17872 Min: 21406 / Avg: 21519.33 / Max: 21742 Min: 20913 / Avg: 21604.75 / Max: 22225 Min: 19638 / Avg: 21723 / Max: 22698 Min: 21670 / Avg: 21981 / Max: 22540 Min: 21986 / Avg: 22322 / Max: 22586 Min: 22102 / Avg: 22354.67 / Max: 22634 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU Ryzen 7 3800XT Core i5 10600K AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 0.8145 1.629 2.4435 3.258 4.0725 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 1.95 2.11 3.05 3.06 3.23 3.61 3.61 3.62 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result Confidence
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU Ryzen 7 3800XT Core i5 10600K AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 2 4 6 8 10 Min: 1.94 / Avg: 1.95 / Max: 1.95 Min: 2.1 / Avg: 2.11 / Max: 2.12 Min: 3.05 / Avg: 3.05 / Max: 3.06 Min: 3.05 / Avg: 3.06 / Max: 3.08 Min: 3.22 / Avg: 3.23 / Max: 3.24 Min: 3.58 / Avg: 3.61 / Max: 3.63 Min: 3.59 / Avg: 3.61 / Max: 3.62 Min: 3.6 / Avg: 3.62 / Max: 3.64 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p Ryzen 7 3800XT Core i5 10600K AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 50 100 150 200 250 SE +/- 0.29, N = 3 SE +/- 0.24, N = 3 SE +/- 0.83, N = 3 SE +/- 0.36, N = 3 SE +/- 1.13, N = 3 SE +/- 0.21, N = 3 SE +/- 0.26, N = 3 SE +/- 0.25, N = 3 118.77 122.53 200.63 202.52 204.14 218.58 219.46 219.49 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p Ryzen 7 3800XT Core i5 10600K AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 40 80 120 160 200 Min: 118.18 / Avg: 118.77 / Max: 119.07 Min: 122.05 / Avg: 122.53 / Max: 122.8 Min: 199 / Avg: 200.63 / Max: 201.75 Min: 201.95 / Avg: 202.52 / Max: 203.18 Min: 201.88 / Avg: 204.14 / Max: 205.41 Min: 218.26 / Avg: 218.58 / Max: 218.98 Min: 219.06 / Avg: 219.46 / Max: 219.94 Min: 218.98 / Avg: 219.49 / Max: 219.78 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
libgav1 Libgav1 is an AV1 decoder developed by Google for AV1 profile 0/1 compliance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better libgav1 2019-10-05 Video Input: Summer Nature 1080p Ryzen 7 3800XT Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X AMD 5900X Core i5 10600K AMD Ryzen 9 5900X Ryzen 9 5900X 30 60 90 120 150 SE +/- 0.16, N = 3 SE +/- 0.09, N = 3 SE +/- 0.38, N = 3 SE +/- 0.16, N = 3 SE +/- 0.15, N = 3 SE +/- 0.02, N = 3 SE +/- 0.12, N = 3 SE +/- 0.15, N = 3 75.89 88.67 88.68 88.93 93.07 93.18 93.48 139.03 1. (CXX) g++ options: -O3 -lpthread
Result Confidence
OpenBenchmarking.org FPS, More Is Better libgav1 2019-10-05 Video Input: Summer Nature 1080p Ryzen 7 3800XT Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X AMD 5900X Core i5 10600K AMD Ryzen 9 5900X Ryzen 9 5900X 30 60 90 120 150 Min: 75.59 / Avg: 75.89 / Max: 76.12 Min: 88.56 / Avg: 88.67 / Max: 88.85 Min: 88.04 / Avg: 88.68 / Max: 89.35 Min: 88.62 / Avg: 88.93 / Max: 89.12 Min: 92.77 / Avg: 93.07 / Max: 93.28 Min: 93.15 / Avg: 93.18 / Max: 93.21 Min: 93.36 / Avg: 93.48 / Max: 93.71 Min: 138.88 / Avg: 139.03 / Max: 139.32 1. (CXX) g++ options: -O3 -lpthread
FFTW FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 32 Ryzen 5 2600 Core i5 10600K Ryzen 5 2600X Ryzen 7 3800XT Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X 4K 8K 12K 16K 20K SE +/- 321.19, N = 15 SE +/- 13.75, N = 3 SE +/- 135.04, N = 15 SE +/- 110.00, N = 3 SE +/- 69.83, N = 3 SE +/- 173.52, N = 7 SE +/- 123.28, N = 3 SE +/- 114.84, N = 3 SE +/- 44.56, N = 3 SE +/- 57.58, N = 3 9155.4 10036.0 10302.6 11623.0 15805.0 15897.0 15995.0 16071.0 16246.0 16502.0 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 32 Ryzen 5 2600 Core i5 10600K Ryzen 5 2600X Ryzen 7 3800XT Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X 3K 6K 9K 12K 15K Min: 6200.9 / Avg: 9155.4 / Max: 9949.5 Min: 10009 / Avg: 10036 / Max: 10054 Min: 8896.8 / Avg: 10302.58 / Max: 10618 Min: 11403 / Avg: 11622.67 / Max: 11743 Min: 15702 / Avg: 15804.67 / Max: 15938 Min: 14890 / Avg: 15897 / Max: 16207 Min: 15756 / Avg: 15995 / Max: 16167 Min: 15933 / Avg: 16071 / Max: 16299 Min: 16166 / Avg: 16246 / Max: 16320 Min: 16393 / Avg: 16501.67 / Max: 16589 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Timed PHP Compilation This test times how long it takes to build PHP 7. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed PHP Compilation 7.4.2 Time To Compile Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X 15 30 45 60 75 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 66.38 54.09 40.30 40.00 39.77 37.75 37.66 37.46
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed PHP Compilation 7.4.2 Time To Compile Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X 13 26 39 52 65 Min: 66.34 / Avg: 66.38 / Max: 66.41 Min: 53.92 / Avg: 54.09 / Max: 54.33 Min: 40.04 / Avg: 40.3 / Max: 40.44 Min: 39.84 / Avg: 40 / Max: 40.1 Min: 39.72 / Avg: 39.77 / Max: 39.82 Min: 37.56 / Avg: 37.75 / Max: 37.97 Min: 37.47 / Avg: 37.66 / Max: 37.91 Min: 37.33 / Avg: 37.46 / Max: 37.55
PlaidML This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.15, N = 3 SE +/- 0.13, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 6.51 6.98 11.16 11.33 11.45 11.49 11.49 11.51
Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 3 6 9 12 15 Min: 6.48 / Avg: 6.51 / Max: 6.55 Min: 6.97 / Avg: 6.98 / Max: 6.99 Min: 10.86 / Avg: 11.16 / Max: 11.35 Min: 11.2 / Avg: 11.33 / Max: 11.59 Min: 11.35 / Avg: 11.45 / Max: 11.62 Min: 11.31 / Avg: 11.49 / Max: 11.59 Min: 11.33 / Avg: 11.49 / Max: 11.57 Min: 11.41 / Avg: 11.51 / Max: 11.59
OpenVKL OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmarkVdbVolume Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X Core i5 10600K 5M 10M 15M 20M 25M SE +/- 110428.40, N = 3 SE +/- 61099.23, N = 3 SE +/- 186883.69, N = 3 SE +/- 230942.03, N = 6 SE +/- 61112.05, N = 3 SE +/- 62277.69, N = 3 SE +/- 309403.03, N = 3 SE +/- 118941.35, N = 3 14007265.65 18783067.59 18827053.09 19420035.15 20509634.09 20614009.36 20857687.60 24669148.39 MIN: 895129 / MAX: 51913080 MIN: 1205223 / MAX: 79342056 MIN: 1175498 / MAX: 71954064 MIN: 1173732 / MAX: 81625608 MIN: 1191435 / MAX: 92939832 MIN: 1190670 / MAX: 91670040 MIN: 1189168 / MAX: 90296352 MIN: 1005904 / MAX: 79348824
Result Confidence
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmarkVdbVolume Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X Core i5 10600K 4M 8M 12M 16M 20M Min: 13872868.05 / Avg: 14007265.65 / Max: 14226241.45 Min: 18685823.34 / Avg: 18783067.59 / Max: 18895775.7 Min: 18513319.59 / Avg: 18827053.09 / Max: 19159860.18 Min: 18545197.18 / Avg: 19420035.15 / Max: 20182659.23 Min: 20409848.32 / Avg: 20509634.09 / Max: 20620651.02 Min: 20525121.43 / Avg: 20614009.36 / Max: 20734016.11 Min: 20501792.09 / Avg: 20857687.6 / Max: 21474035.27 Min: 24512569.84 / Avg: 24669148.39 / Max: 24902529.57
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GPAW 20.1 Input: Carbon Nanotube Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 120 240 360 480 600 SE +/- 0.22, N = 3 SE +/- 0.37, N = 3 SE +/- 0.51, N = 3 SE +/- 0.72, N = 3 SE +/- 0.58, N = 3 SE +/- 0.84, N = 3 SE +/- 0.80, N = 3 SE +/- 0.16, N = 3 574.36 344.12 331.65 330.40 328.75 327.33 327.08 326.40 1. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GPAW 20.1 Input: Carbon Nanotube Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 100 200 300 400 500 Min: 573.95 / Avg: 574.36 / Max: 574.69 Min: 343.65 / Avg: 344.12 / Max: 344.85 Min: 330.96 / Avg: 331.65 / Max: 332.64 Min: 329.28 / Avg: 330.4 / Max: 331.74 Min: 327.64 / Avg: 328.75 / Max: 329.59 Min: 326.35 / Avg: 327.33 / Max: 329.01 Min: 325.48 / Avg: 327.08 / Max: 328.03 Min: 326.15 / Avg: 326.4 / Max: 326.71 1. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
dav1d Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better dav1d 0.7.0 Video Input: Summer Nature 1080p Ryzen 7 3800XT Core i5 10600K AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5900X 200 400 600 800 1000 SE +/- 1.03, N = 3 SE +/- 1.09, N = 3 SE +/- 2.13, N = 3 SE +/- 1.25, N = 3 SE +/- 0.29, N = 3 SE +/- 0.83, N = 3 SE +/- 1.69, N = 3 SE +/- 7.02, N = 3 474.09 503.09 626.87 628.84 669.98 672.22 672.60 833.60 MIN: 395.76 / MAX: 514.12 MIN: 452.97 / MAX: 550.15 MIN: 480.84 / MAX: 682.79 MIN: 486.56 / MAX: 683.25 MIN: 489.66 / MAX: 728.89 MIN: 496.08 / MAX: 732.44 MIN: 506.97 / MAX: 731.4 MIN: 665.75 / MAX: 915.52 1. (CC) gcc options: -pthread
Result Confidence
OpenBenchmarking.org FPS, More Is Better dav1d 0.7.0 Video Input: Summer Nature 1080p Ryzen 7 3800XT Core i5 10600K AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5900X 150 300 450 600 750 Min: 472.49 / Avg: 474.09 / Max: 476 Min: 500.96 / Avg: 503.09 / Max: 504.54 Min: 623.06 / Avg: 626.87 / Max: 630.41 Min: 626.49 / Avg: 628.84 / Max: 630.79 Min: 669.67 / Avg: 669.98 / Max: 670.57 Min: 670.83 / Avg: 672.22 / Max: 673.69 Min: 670.4 / Avg: 672.6 / Max: 675.93 Min: 820.17 / Avg: 833.6 / Max: 843.82 1. (CC) gcc options: -pthread
libgav1 Libgav1 is an AV1 decoder developed by Google for AV1 profile 0/1 compliance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better libgav1 2019-10-05 Video Input: Chimera 1080p Ryzen 7 3800XT AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X Core i5 10600K AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 20 40 60 80 100 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.15, N = 3 51.64 56.79 56.94 57.01 58.31 59.38 59.42 90.34 1. (CXX) g++ options: -O3 -lpthread
Result Confidence
OpenBenchmarking.org FPS, More Is Better libgav1 2019-10-05 Video Input: Chimera 1080p Ryzen 7 3800XT AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X Core i5 10600K AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 20 40 60 80 100 Min: 51.56 / Avg: 51.64 / Max: 51.71 Min: 56.7 / Avg: 56.79 / Max: 56.87 Min: 56.85 / Avg: 56.94 / Max: 57.1 Min: 56.98 / Avg: 57.01 / Max: 57.04 Min: 58.23 / Avg: 58.31 / Max: 58.38 Min: 59.3 / Avg: 59.38 / Max: 59.46 Min: 59.23 / Avg: 59.42 / Max: 59.53 Min: 90.19 / Avg: 90.34 / Max: 90.63 1. (CXX) g++ options: -O3 -lpthread
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Medium Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 9.45 7.96 6.01 5.95 5.94 5.58 5.55 5.54 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Medium Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 3 6 9 12 15 Min: 9.44 / Avg: 9.45 / Max: 9.46 Min: 7.93 / Avg: 7.96 / Max: 8.01 Min: 6 / Avg: 6.01 / Max: 6.01 Min: 5.94 / Avg: 5.95 / Max: 5.95 Min: 5.89 / Avg: 5.94 / Max: 6.01 Min: 5.58 / Avg: 5.58 / Max: 5.58 Min: 5.46 / Avg: 5.55 / Max: 5.6 Min: 5.51 / Avg: 5.54 / Max: 5.56 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Timed MrBayes Analysis This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed MrBayes Analysis 3.2.7 Primate Phylogeny Analysis Ryzen 5 2600 Core i5 10600K Ryzen 7 3800XT AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X 20 40 60 80 100 SE +/- 0.70, N = 3 SE +/- 0.03, N = 3 SE +/- 0.44, N = 3 SE +/- 0.30, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.17, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 95.48 68.41 66.92 62.06 61.87 61.83 57.55 57.48 57.34 -msse4a -msha -mmpx -msse4a -msha -msse4a -msha -msse4a -msha -msse4a -msha -msse4a -msha -msse4a -msha -msse4a -msha 1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed MrBayes Analysis 3.2.7 Primate Phylogeny Analysis Ryzen 5 2600 Core i5 10600K Ryzen 7 3800XT AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X 20 40 60 80 100 Min: 94.76 / Avg: 95.48 / Max: 96.88 Min: 68.37 / Avg: 68.41 / Max: 68.47 Min: 66.13 / Avg: 66.92 / Max: 67.65 Min: 61.7 / Avg: 62.06 / Max: 62.67 Min: 61.84 / Avg: 61.87 / Max: 61.91 Min: 61.7 / Avg: 61.83 / Max: 61.95 Min: 57.34 / Avg: 57.55 / Max: 57.88 Min: 57.37 / Avg: 57.48 / Max: 57.56 Min: 57.21 / Avg: 57.34 / Max: 57.49 1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm
dav1d Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better dav1d 0.7.0 Video Input: Chimera 1080p 10-bit Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 40 80 120 160 200 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.11, N = 3 SE +/- 0.18, N = 3 SE +/- 0.13, N = 3 SE +/- 0.35, N = 3 SE +/- 0.26, N = 3 SE +/- 0.08, N = 3 102.88 105.32 128.43 128.52 132.58 132.62 132.65 170.83 MIN: 66.83 / MAX: 243.2 MIN: 69.6 / MAX: 235.58 MIN: 87.95 / MAX: 270.05 MIN: 88.12 / MAX: 271.52 MIN: 92.3 / MAX: 265.35 MIN: 92.47 / MAX: 269.38 MIN: 92.6 / MAX: 262.4 MIN: 109.78 / MAX: 351.3 1. (CC) gcc options: -pthread
Result Confidence
OpenBenchmarking.org FPS, More Is Better dav1d 0.7.0 Video Input: Chimera 1080p 10-bit Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 30 60 90 120 150 Min: 102.7 / Avg: 102.88 / Max: 103.01 Min: 105.1 / Avg: 105.32 / Max: 105.49 Min: 128.24 / Avg: 128.43 / Max: 128.63 Min: 128.16 / Avg: 128.52 / Max: 128.75 Min: 132.41 / Avg: 132.58 / Max: 132.84 Min: 132.16 / Avg: 132.62 / Max: 133.3 Min: 132.21 / Avg: 132.65 / Max: 133.12 Min: 170.71 / Avg: 170.83 / Max: 170.98 1. (CC) gcc options: -pthread
OpenVKL OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmarkStructuredVolume Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 20M 40M 60M 80M 100M SE +/- 315772.63, N = 3 SE +/- 713772.92, N = 5 SE +/- 1314327.34, N = 3 SE +/- 868329.69, N = 15 SE +/- 615624.99, N = 3 SE +/- 265969.65, N = 3 SE +/- 719476.33, N = 3 SE +/- 1089359.38, N = 3 52980370.18 57706990.77 80664192.10 81426457.92 83346443.74 85595374.77 85803057.95 87846736.26 MIN: 1340295 / MAX: 347818176 MIN: 1055838 / MAX: 462495384 MIN: 1335273 / MAX: 687765600 MIN: 1274765 / MAX: 835660728 MIN: 1360222 / MAX: 802453896 MIN: 1373098 / MAX: 711849312 MIN: 1355325 / MAX: 701261424 MIN: 1371349 / MAX: 808255296
Result Confidence
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmarkStructuredVolume Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 15M 30M 45M 60M 75M Min: 52354402.73 / Avg: 52980370.18 / Max: 53365884.03 Min: 54857333.92 / Avg: 57706990.77 / Max: 58524128.46 Min: 78384931.35 / Avg: 80664192.1 / Max: 82937884.59 Min: 75548135.3 / Avg: 81426457.92 / Max: 86487266.95 Min: 82116510.16 / Avg: 83346443.74 / Max: 84010704.7 Min: 85223909.08 / Avg: 85595374.77 / Max: 86110849.16 Min: 84822992.97 / Avg: 85803057.95 / Max: 87205528.41 Min: 86098647.19 / Avg: 87846736.26 / Max: 89846946.86
dav1d Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better dav1d 0.7.0 Video Input: Summer Nature 4K Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5900X 50 100 150 200 250 SE +/- 0.16, N = 3 SE +/- 0.08, N = 3 SE +/- 0.66, N = 3 SE +/- 0.59, N = 3 SE +/- 0.45, N = 3 SE +/- 0.44, N = 3 SE +/- 0.30, N = 3 SE +/- 0.41, N = 3 143.64 171.31 227.79 228.23 231.17 231.69 232.15 237.33 MIN: 135.32 / MAX: 160.8 MIN: 153.55 / MAX: 184.15 MIN: 169.54 / MAX: 242.06 MIN: 186.45 / MAX: 243.08 MIN: 171.37 / MAX: 239.7 MIN: 167.15 / MAX: 241 MIN: 166.38 / MAX: 241.46 MIN: 190.86 / MAX: 250.47 1. (CC) gcc options: -pthread
Result Confidence
OpenBenchmarking.org FPS, More Is Better dav1d 0.7.0 Video Input: Summer Nature 4K Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5900X 40 80 120 160 200 Min: 143.46 / Avg: 143.64 / Max: 143.97 Min: 171.19 / Avg: 171.31 / Max: 171.46 Min: 226.5 / Avg: 227.79 / Max: 228.65 Min: 227.1 / Avg: 228.23 / Max: 229.08 Min: 230.46 / Avg: 231.17 / Max: 231.99 Min: 230.86 / Avg: 231.69 / Max: 232.36 Min: 231.75 / Avg: 232.15 / Max: 232.74 Min: 236.61 / Avg: 237.33 / Max: 238.04 1. (CC) gcc options: -pthread
Timed GDB GNU Debugger Compilation This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed GDB GNU Debugger Compilation 9.1 Time To Compile Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 20 40 60 80 100 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 SE +/- 0.20, N = 3 SE +/- 0.17, N = 3 SE +/- 0.08, N = 3 SE +/- 0.12, N = 3 SE +/- 0.12, N = 3 SE +/- 0.04, N = 3 110.50 99.43 83.72 83.69 82.50 81.97 81.90 67.08
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed GDB GNU Debugger Compilation 9.1 Time To Compile Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 20 40 60 80 100 Min: 110.28 / Avg: 110.5 / Max: 110.62 Min: 99.36 / Avg: 99.43 / Max: 99.49 Min: 83.43 / Avg: 83.72 / Max: 84.11 Min: 83.51 / Avg: 83.69 / Max: 84.04 Min: 82.36 / Avg: 82.5 / Max: 82.61 Min: 81.82 / Avg: 81.97 / Max: 82.21 Min: 81.75 / Avg: 81.9 / Max: 82.14 Min: 67.02 / Avg: 67.08 / Max: 67.15
Timed GCC Compilation This test times how long it takes to build the GNU Compiler Collection (GCC). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed GCC Compilation 9.3.0 Time To Compile Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X Ryzen 9 5900X 200 400 600 800 1000 SE +/- 1.01, N = 3 SE +/- 1.52, N = 3 SE +/- 1.68, N = 3 SE +/- 2.82, N = 3 SE +/- 1.50, N = 3 SE +/- 1.21, N = 3 SE +/- 0.44, N = 3 SE +/- 2.44, N = 3 1044.81 872.06 702.51 701.27 667.56 667.11 666.42 635.97
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed GCC Compilation 9.3.0 Time To Compile Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X Ryzen 9 5900X 200 400 600 800 1000 Min: 1042.95 / Avg: 1044.81 / Max: 1046.45 Min: 869.2 / Avg: 872.06 / Max: 874.4 Min: 700.55 / Avg: 702.51 / Max: 705.86 Min: 695.73 / Avg: 701.27 / Max: 704.91 Min: 665.92 / Avg: 667.56 / Max: 670.56 Min: 665.02 / Avg: 667.11 / Max: 669.21 Min: 665.57 / Avg: 666.42 / Max: 667.03 Min: 631.84 / Avg: 635.97 / Max: 640.27
FFmpeg This test uses FFmpeg for testing the system's audio/video encoding performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 4.0.2 H.264 HD To NTSC DV Ryzen 7 3800XT AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X AMD 5900X Core i5 10600K Ryzen 9 5900X 2 4 6 8 10 SE +/- 0.038, N = 3 SE +/- 0.053, N = 3 SE +/- 0.033, N = 3 SE +/- 0.053, N = 3 SE +/- 0.030, N = 3 SE +/- 0.071, N = 3 SE +/- 0.035, N = 3 SE +/- 0.069, N = 3 6.968 6.431 6.394 6.358 6.242 6.241 4.360 4.294 1. (CC) gcc options: -lavdevice -lavfilter -lavformat -lavcodec -lswresample -lswscale -lavutil -lXv -lX11 -lXext -lm -lxcb -lasound -lSDL2 -lsndio -pthread -lbz2 -llzma -std=c11 -fomit-frame-pointer -fPIC -O3 -fno-math-errno -fno-signed-zeros -fno-tree-vectorize -MMD -MF -MT
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 4.0.2 H.264 HD To NTSC DV Ryzen 7 3800XT AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X AMD 5900X Core i5 10600K Ryzen 9 5900X 3 6 9 12 15 Min: 6.9 / Avg: 6.97 / Max: 7.03 Min: 6.36 / Avg: 6.43 / Max: 6.53 Min: 6.34 / Avg: 6.39 / Max: 6.45 Min: 6.26 / Avg: 6.36 / Max: 6.44 Min: 6.18 / Avg: 6.24 / Max: 6.28 Min: 6.1 / Avg: 6.24 / Max: 6.33 Min: 4.32 / Avg: 4.36 / Max: 4.43 Min: 4.16 / Avg: 4.29 / Max: 4.38 1. (CC) gcc options: -lavdevice -lavfilter -lavformat -lavcodec -lswresample -lswscale -lavutil -lXv -lX11 -lXext -lm -lxcb -lasound -lSDL2 -lsndio -pthread -lbz2 -llzma -std=c11 -fomit-frame-pointer -fPIC -O3 -fno-math-errno -fno-signed-zeros -fno-tree-vectorize -MMD -MF -MT
dav1d Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better dav1d 0.7.0 Video Input: Chimera 1080p Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 200 400 600 800 1000 SE +/- 1.29, N = 3 SE +/- 1.03, N = 3 SE +/- 0.63, N = 3 SE +/- 1.28, N = 3 SE +/- 2.41, N = 3 SE +/- 1.51, N = 3 SE +/- 3.16, N = 3 SE +/- 2.26, N = 3 524.05 552.33 664.83 666.05 688.96 690.35 690.51 847.89 MIN: 400.09 / MAX: 740.69 MIN: 403.87 / MAX: 881.51 MIN: 505.37 / MAX: 838.08 MIN: 504.23 / MAX: 838.15 MIN: 522.39 / MAX: 880.13 MIN: 523.59 / MAX: 880.8 MIN: 524.51 / MAX: 881.93 MIN: 657.98 / MAX: 1058.66 1. (CC) gcc options: -pthread
Result Confidence
OpenBenchmarking.org FPS, More Is Better dav1d 0.7.0 Video Input: Chimera 1080p Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 150 300 450 600 750 Min: 522.75 / Avg: 524.05 / Max: 526.63 Min: 550.7 / Avg: 552.33 / Max: 554.23 Min: 663.79 / Avg: 664.83 / Max: 665.98 Min: 664.26 / Avg: 666.05 / Max: 668.52 Min: 684.44 / Avg: 688.96 / Max: 692.68 Min: 687.32 / Avg: 690.35 / Max: 691.89 Min: 684.89 / Avg: 690.51 / Max: 695.82 Min: 843.52 / Avg: 847.89 / Max: 851.06 1. (CC) gcc options: -pthread
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: VMAF Optimized - Input: Bosphorus 1080p Ryzen 7 3800XT Core i5 10600K AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 50 100 150 200 250 SE +/- 1.23, N = 3 SE +/- 1.47, N = 3 SE +/- 2.95, N = 4 SE +/- 3.38, N = 3 SE +/- 3.42, N = 3 SE +/- 2.35, N = 8 SE +/- 2.32, N = 8 SE +/- 2.08, N = 10 142.09 150.52 216.58 216.95 217.00 226.84 226.97 227.00 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: VMAF Optimized - Input: Bosphorus 1080p Ryzen 7 3800XT Core i5 10600K AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 40 80 120 160 200 Min: 139.66 / Avg: 142.09 / Max: 143.64 Min: 147.6 / Avg: 150.52 / Max: 152.25 Min: 207.76 / Avg: 216.58 / Max: 219.94 Min: 210.23 / Avg: 216.95 / Max: 220.91 Min: 210.3 / Avg: 217 / Max: 221.57 Min: 210.45 / Avg: 226.84 / Max: 229.71 Min: 210.82 / Avg: 226.97 / Max: 230.06 Min: 208.41 / Avg: 227 / Max: 229.71 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
Timed HMMer Search This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed HMMer Search 3.3.1 Pfam Database Search Ryzen 5 2600 Ryzen 7 3800XT AMD 5950X Core i5 10600K AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X 30 60 90 120 150 SE +/- 0.12, N = 3 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.17, N = 3 SE +/- 0.28, N = 3 SE +/- 0.24, N = 3 SE +/- 0.05, N = 3 127.18 103.12 102.80 102.78 102.50 102.30 98.25 98.07 79.66 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed HMMer Search 3.3.1 Pfam Database Search Ryzen 5 2600 Ryzen 7 3800XT AMD 5950X Core i5 10600K AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X 20 40 60 80 100 Min: 127.01 / Avg: 127.18 / Max: 127.41 Min: 102.92 / Avg: 103.12 / Max: 103.35 Min: 102.66 / Avg: 102.8 / Max: 102.89 Min: 102.66 / Avg: 102.78 / Max: 102.85 Min: 102.38 / Avg: 102.5 / Max: 102.69 Min: 102.04 / Avg: 102.3 / Max: 102.62 Min: 97.68 / Avg: 98.25 / Max: 98.56 Min: 97.6 / Avg: 98.07 / Max: 98.4 Min: 79.57 / Avg: 79.66 / Max: 79.75 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
x265 This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 1080p Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5900X AMD 5950X Ryzen 9 5950X Ryzen 9 5900X 20 40 60 80 100 SE +/- 0.19, N = 3 SE +/- 0.39, N = 3 SE +/- 0.14, N = 3 SE +/- 0.13, N = 3 SE +/- 0.11, N = 3 SE +/- 0.19, N = 3 SE +/- 0.26, N = 3 SE +/- 0.35, N = 3 52.48 52.82 71.31 71.71 72.11 72.23 72.47 83.69 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 1080p Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5900X AMD 5950X Ryzen 9 5950X Ryzen 9 5900X 16 32 48 64 80 Min: 52.27 / Avg: 52.48 / Max: 52.86 Min: 52.04 / Avg: 52.82 / Max: 53.23 Min: 71.05 / Avg: 71.31 / Max: 71.55 Min: 71.46 / Avg: 71.71 / Max: 71.87 Min: 71.9 / Avg: 72.11 / Max: 72.26 Min: 71.9 / Avg: 72.23 / Max: 72.56 Min: 71.96 / Avg: 72.47 / Max: 72.77 Min: 83.04 / Avg: 83.69 / Max: 84.23 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFTW FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 4096 Ryzen 5 2600 Ryzen 5 2600X Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X 3K 6K 9K 12K 15K SE +/- 9.85, N = 3 SE +/- 19.90, N = 3 SE +/- 45.03, N = 3 SE +/- 80.64, N = 3 SE +/- 51.67, N = 3 SE +/- 23.18, N = 3 SE +/- 54.87, N = 3 SE +/- 194.51, N = 3 SE +/- 72.08, N = 3 SE +/- 71.50, N = 3 7616.8 8103.3 8768.8 9198.5 11665.0 11669.0 11731.0 11745.0 11976.0 12105.0 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 4096 Ryzen 5 2600 Ryzen 5 2600X Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X 2K 4K 6K 8K 10K Min: 7600.2 / Avg: 7616.8 / Max: 7634.3 Min: 8074.8 / Avg: 8103.3 / Max: 8141.6 Min: 8679.7 / Avg: 8768.83 / Max: 8824.5 Min: 9044.6 / Avg: 9198.53 / Max: 9317.2 Min: 11562 / Avg: 11665.33 / Max: 11718 Min: 11623 / Avg: 11669 / Max: 11697 Min: 11625 / Avg: 11731.33 / Max: 11808 Min: 11548 / Avg: 11745 / Max: 12134 Min: 11898 / Avg: 11976 / Max: 12120 Min: 11962 / Avg: 12105 / Max: 12177 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
PlaidML This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: CPU Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 5 10 15 20 25 SE +/- 0.13, N = 3 SE +/- 0.13, N = 3 SE +/- 0.13, N = 3 SE +/- 0.10, N = 3 SE +/- 0.23, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.22, N = 3 13.33 15.64 17.81 18.15 18.29 20.83 20.93 21.14
Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: CPU Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 5 10 15 20 25 Min: 13.08 / Avg: 13.33 / Max: 13.51 Min: 15.46 / Avg: 15.64 / Max: 15.89 Min: 17.67 / Avg: 17.81 / Max: 18.06 Min: 17.98 / Avg: 18.15 / Max: 18.33 Min: 17.99 / Avg: 18.29 / Max: 18.75 Min: 20.79 / Avg: 20.83 / Max: 20.9 Min: 20.79 / Avg: 20.93 / Max: 21.09 Min: 20.71 / Avg: 21.14 / Max: 21.36
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.
Result
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Realtime Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5950X AMD Ryzen 9 5900X Ryzen 9 5950X AMD 5950X AMD 5900X Ryzen 9 5900X 7 14 21 28 35 SE +/- 0.12, N = 3 SE +/- 0.08, N = 3 SE +/- 0.16, N = 3 SE +/- 0.16, N = 3 SE +/- 0.12, N = 3 SE +/- 0.20, N = 3 SE +/- 0.12, N = 3 SE +/- 0.25, N = 3 19.67 21.75 24.93 25.04 25.09 25.13 25.18 30.90 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Realtime Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5950X AMD Ryzen 9 5900X Ryzen 9 5950X AMD 5950X AMD 5900X Ryzen 9 5900X 7 14 21 28 35 Min: 19.55 / Avg: 19.67 / Max: 19.9 Min: 21.61 / Avg: 21.75 / Max: 21.88 Min: 24.63 / Avg: 24.93 / Max: 25.17 Min: 24.71 / Avg: 25.04 / Max: 25.23 Min: 24.97 / Avg: 25.09 / Max: 25.33 Min: 24.92 / Avg: 25.13 / Max: 25.53 Min: 24.98 / Avg: 25.18 / Max: 25.4 Min: 30.51 / Avg: 30.9 / Max: 31.37 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
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.
GROMACS The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2020.3 Water Benchmark Ryzen 7 3800XT Core i5 10600K AMD 5900X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X AMD Ryzen 9 5900X Ryzen 9 5900X 0.2907 0.5814 0.8721 1.1628 1.4535 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.009, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 0.831 0.842 1.281 1.290 1.290 1.291 1.291 1.292 1. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
Result Confidence
OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2020.3 Water Benchmark Ryzen 7 3800XT Core i5 10600K AMD 5900X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X AMD Ryzen 9 5900X Ryzen 9 5900X 2 4 6 8 10 Min: 0.83 / Avg: 0.83 / Max: 0.84 Min: 0.84 / Avg: 0.84 / Max: 0.85 Min: 1.26 / Avg: 1.28 / Max: 1.29 Min: 1.29 / Avg: 1.29 / Max: 1.29 Min: 1.29 / Avg: 1.29 / Max: 1.3 Min: 1.29 / Avg: 1.29 / Max: 1.3 Min: 1.28 / Avg: 1.29 / Max: 1.3 Min: 1.29 / Avg: 1.29 / Max: 1.3 1. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p Ryzen 7 3800XT Core i5 10600K AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X 50 100 150 200 250 SE +/- 0.37, N = 3 SE +/- 0.11, N = 3 SE +/- 0.54, N = 3 SE +/- 1.06, N = 3 SE +/- 0.98, N = 3 SE +/- 0.24, N = 3 SE +/- 0.58, N = 3 SE +/- 0.05, N = 3 150.92 155.59 224.33 224.90 226.62 234.07 234.35 234.47 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p Ryzen 7 3800XT Core i5 10600K AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X 40 80 120 160 200 Min: 150.19 / Avg: 150.92 / Max: 151.32 Min: 155.36 / Avg: 155.59 / Max: 155.72 Min: 223.3 / Avg: 224.33 / Max: 225.14 Min: 223.8 / Avg: 224.9 / Max: 227.01 Min: 225.48 / Avg: 226.62 / Max: 228.57 Min: 233.64 / Avg: 234.07 / Max: 234.47 Min: 233.55 / Avg: 234.35 / Max: 235.48 Min: 234.38 / Avg: 234.47 / Max: 234.56 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
libgav1 Libgav1 is an AV1 decoder developed by Google for AV1 profile 0/1 compliance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better libgav1 2019-10-05 Video Input: Summer Nature 4K Core i5 10600K Ryzen 7 3800XT AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 23.95 24.38 27.60 27.71 27.73 28.49 28.61 37.07 1. (CXX) g++ options: -O3 -lpthread
Result Confidence
OpenBenchmarking.org FPS, More Is Better libgav1 2019-10-05 Video Input: Summer Nature 4K Core i5 10600K Ryzen 7 3800XT AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X 8 16 24 32 40 Min: 23.94 / Avg: 23.95 / Max: 23.97 Min: 24.36 / Avg: 24.38 / Max: 24.41 Min: 27.56 / Avg: 27.6 / Max: 27.63 Min: 27.64 / Avg: 27.71 / Max: 27.78 Min: 27.65 / Avg: 27.73 / Max: 27.77 Min: 28.42 / Avg: 28.49 / Max: 28.54 Min: 28.6 / Avg: 28.61 / Max: 28.62 Min: 37.06 / Avg: 37.07 / Max: 37.09 1. (CXX) g++ options: -O3 -lpthread
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch 1D - Data Type: f32 - Engine: CPU Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X 1.115 2.23 3.345 4.46 5.575 SE +/- 0.00543, N = 3 SE +/- 0.01301, N = 3 SE +/- 0.05355, N = 3 SE +/- 0.01588, N = 3 SE +/- 0.04025, N = 3 SE +/- 0.00714, N = 3 SE +/- 0.01281, N = 3 SE +/- 0.01282, N = 3 4.95543 4.25963 4.23659 3.89063 3.65545 3.63472 3.56216 3.22810 MIN: 4.83 MIN: 4.15 MIN: 3.51 MIN: 3.7 MIN: 3.4 MIN: 3.43 MIN: 3.31 MIN: 2.95 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch 1D - Data Type: f32 - Engine: CPU Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X 2 4 6 8 10 Min: 4.94 / Avg: 4.96 / Max: 4.96 Min: 4.23 / Avg: 4.26 / Max: 4.28 Min: 4.13 / Avg: 4.24 / Max: 4.3 Min: 3.86 / Avg: 3.89 / Max: 3.92 Min: 3.61 / Avg: 3.66 / Max: 3.74 Min: 3.63 / Avg: 3.63 / Max: 3.65 Min: 3.54 / Avg: 3.56 / Max: 3.58 Min: 3.21 / Avg: 3.23 / Max: 3.25 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet Core i5 10600K Ryzen 7 3800XT Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 5 10 15 20 25 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.12, N = 3 SE +/- 0.12, N = 3 SE +/- 0.11, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 18.85 17.44 12.80 12.65 12.62 12.36 12.29 12.29 MIN: 18.61 / MAX: 21.03 MIN: 16.99 / MAX: 17.9 MIN: 12.46 / MAX: 27.84 MIN: 12.37 / MAX: 50.77 MIN: 12.38 / MAX: 27.34 MIN: 12.14 / MAX: 14.7 MIN: 12.1 / MAX: 12.74 MIN: 11.99 / MAX: 27.29 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet Core i5 10600K Ryzen 7 3800XT Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 5 10 15 20 25 Min: 18.75 / Avg: 18.85 / Max: 19.03 Min: 17.35 / Avg: 17.44 / Max: 17.5 Min: 12.6 / Avg: 12.8 / Max: 13.01 Min: 12.46 / Avg: 12.65 / Max: 12.87 Min: 12.51 / Avg: 12.62 / Max: 12.84 Min: 12.21 / Avg: 12.36 / Max: 12.59 Min: 12.18 / Avg: 12.29 / Max: 12.39 Min: 12.12 / Avg: 12.29 / Max: 12.38 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Tungsten Renderer Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Water Caustic Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 7 14 21 28 35 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 29.83 25.98 21.19 21.17 21.07 19.54 19.46 19.45 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Water Caustic Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 7 14 21 28 35 Min: 29.69 / Avg: 29.83 / Max: 29.98 Min: 25.84 / Avg: 25.98 / Max: 26.11 Min: 21.12 / Avg: 21.19 / Max: 21.27 Min: 21.05 / Avg: 21.17 / Max: 21.34 Min: 21 / Avg: 21.07 / Max: 21.11 Min: 19.52 / Avg: 19.54 / Max: 19.56 Min: 19.39 / Avg: 19.46 / Max: 19.54 Min: 19.42 / Avg: 19.45 / Max: 19.51 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
libgav1 Libgav1 is an AV1 decoder developed by Google for AV1 profile 0/1 compliance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better libgav1 2019-10-05 Video Input: Chimera 1080p 10-bit Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X 8 16 24 32 40 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 21.76 24.05 25.10 25.10 25.14 25.68 25.71 33.06 1. (CXX) g++ options: -O3 -lpthread
Result Confidence
OpenBenchmarking.org FPS, More Is Better libgav1 2019-10-05 Video Input: Chimera 1080p 10-bit Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X 7 14 21 28 35 Min: 21.69 / Avg: 21.76 / Max: 21.83 Min: 24.05 / Avg: 24.05 / Max: 24.06 Min: 25.09 / Avg: 25.1 / Max: 25.11 Min: 25.08 / Avg: 25.1 / Max: 25.11 Min: 25.1 / Avg: 25.14 / Max: 25.19 Min: 25.64 / Avg: 25.68 / Max: 25.73 Min: 25.66 / Avg: 25.71 / Max: 25.77 Min: 33.03 / Avg: 33.06 / Max: 33.11 1. (CXX) g++ options: -O3 -lpthread
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.
Result
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 8 Realtime Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5900X AMD 5950X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X Ryzen 9 5900X 13 26 39 52 65 SE +/- 0.08, N = 3 SE +/- 0.21, N = 3 SE +/- 0.52, N = 3 SE +/- 0.32, N = 3 SE +/- 0.34, N = 3 SE +/- 0.57, N = 3 SE +/- 0.61, N = 3 SE +/- 0.11, N = 3 38.75 45.83 52.63 52.70 52.93 53.08 53.22 58.85 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 8 Realtime Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5900X AMD 5950X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X Ryzen 9 5900X 12 24 36 48 60 Min: 38.59 / Avg: 38.75 / Max: 38.85 Min: 45.52 / Avg: 45.83 / Max: 46.24 Min: 51.77 / Avg: 52.63 / Max: 53.57 Min: 52.08 / Avg: 52.7 / Max: 53.13 Min: 52.38 / Avg: 52.93 / Max: 53.56 Min: 52.08 / Avg: 53.08 / Max: 54.06 Min: 52.16 / Avg: 53.22 / Max: 54.29 Min: 58.72 / Avg: 58.85 / Max: 59.07 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU Ryzen 7 3800XT Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Core i5 10600K 5 10 15 20 25 SE +/- 0.00, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 22.70 16.61 16.36 16.25 16.23 15.93 15.84 14.99 MIN: 22.09 MIN: 15.86 MIN: 15.86 MIN: 15.69 MIN: 15.68 MIN: 15.49 MIN: 15.44 MIN: 14.91 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU Ryzen 7 3800XT Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Core i5 10600K 5 10 15 20 25 Min: 22.69 / Avg: 22.7 / Max: 22.7 Min: 16.52 / Avg: 16.61 / Max: 16.68 Min: 16.34 / Avg: 16.36 / Max: 16.37 Min: 16.23 / Avg: 16.25 / Max: 16.28 Min: 16.2 / Avg: 16.23 / Max: 16.25 Min: 15.87 / Avg: 15.93 / Max: 16 Min: 15.81 / Avg: 15.84 / Max: 15.9 Min: 14.98 / Avg: 14.99 / Max: 15 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
FFTW FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 4096 Ryzen 5 2600 Ryzen 5 2600X Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5950X Ryzen 9 5950X Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5950X AMD 5900X 2K 4K 6K 8K 10K SE +/- 8.13, N = 3 SE +/- 26.63, N = 3 SE +/- 6.36, N = 3 SE +/- 9.72, N = 3 SE +/- 12.27, N = 3 SE +/- 97.26, N = 3 SE +/- 120.39, N = 4 SE +/- 27.30, N = 3 SE +/- 57.50, N = 3 SE +/- 24.43, N = 3 5438.1 5643.5 6430.3 6680.2 7978.3 8061.0 8096.4 8101.9 8164.1 8191.5 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 4096 Ryzen 5 2600 Ryzen 5 2600X Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5950X Ryzen 9 5950X Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5950X AMD 5900X 1400 2800 4200 5600 7000 Min: 5421.8 / Avg: 5438.07 / Max: 5446.3 Min: 5610.5 / Avg: 5643.5 / Max: 5696.2 Min: 6423.3 / Avg: 6430.3 / Max: 6443 Min: 6661.4 / Avg: 6680.23 / Max: 6693.8 Min: 7959.6 / Avg: 7978.27 / Max: 8001.4 Min: 7919.9 / Avg: 8060.97 / Max: 8247.5 Min: 7736.8 / Avg: 8096.35 / Max: 8242.7 Min: 8071 / Avg: 8101.87 / Max: 8156.3 Min: 8053 / Avg: 8164.13 / Max: 8245.3 Min: 8143.1 / Avg: 8191.47 / Max: 8221.7 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Dolfyn Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Dolfyn 0.527 Computational Fluid Dynamics Ryzen 5 2600 Ryzen 5 2600X Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 5 10 15 20 25 SE +/- 0.07, N = 3 SE +/- 0.19, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.14, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 19.08 18.10 17.09 15.21 13.05 13.05 13.05 12.84 12.72 12.71
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Dolfyn 0.527 Computational Fluid Dynamics Ryzen 5 2600 Ryzen 5 2600X Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 5 10 15 20 25 Min: 18.97 / Avg: 19.08 / Max: 19.21 Min: 17.85 / Avg: 18.09 / Max: 18.47 Min: 16.93 / Avg: 17.09 / Max: 17.18 Min: 15.07 / Avg: 15.2 / Max: 15.38 Min: 12.79 / Avg: 13.05 / Max: 13.26 Min: 12.87 / Avg: 13.05 / Max: 13.25 Min: 12.99 / Avg: 13.05 / Max: 13.09 Min: 12.61 / Avg: 12.84 / Max: 12.97 Min: 12.54 / Avg: 12.72 / Max: 12.99 Min: 12.56 / Avg: 12.71 / Max: 12.82
miniFE MiniFE Finite Element is an application for unstructured implicit finite element codes. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org CG Mflops, More Is Better miniFE 2.2 Problem Size: Small AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X Core i5 10600K Ryzen 5 2600 Ryzen 5 2600X 1300 2600 3900 5200 6500 SE +/- 8.22, N = 3 SE +/- 7.43, N = 3 SE +/- 8.02, N = 3 SE +/- 0.46, N = 3 SE +/- 6.52, N = 3 SE +/- 12.89, N = 3 SE +/- 13.60, N = 3 SE +/- 1.08, N = 3 SE +/- 7.80, N = 3 SE +/- 1.42, N = 3 4024.58 4027.31 4027.62 4072.12 4248.64 4295.15 4300.33 5711.02 5953.89 5973.24 1. (CXX) g++ options: -O3 -fopenmp -pthread -lmpi_cxx -lmpi
Result Confidence
OpenBenchmarking.org CG Mflops, More Is Better miniFE 2.2 Problem Size: Small AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X Core i5 10600K Ryzen 5 2600 Ryzen 5 2600X 1000 2000 3000 4000 5000 Min: 4008.15 / Avg: 4024.58 / Max: 4033.09 Min: 4012.5 / Avg: 4027.31 / Max: 4035.66 Min: 4011.61 / Avg: 4027.62 / Max: 4036.32 Min: 4071.2 / Avg: 4072.12 / Max: 4072.61 Min: 4242.11 / Avg: 4248.64 / Max: 4261.67 Min: 4269.6 / Avg: 4295.15 / Max: 4310.88 Min: 4273.15 / Avg: 4300.33 / Max: 4314.67 Min: 5708.87 / Avg: 5711.02 / Max: 5712.28 Min: 5941.27 / Avg: 5953.89 / Max: 5968.15 Min: 5970.44 / Avg: 5973.24 / Max: 5975.05 1. (CXX) g++ options: -O3 -fopenmp -pthread -lmpi_cxx -lmpi
Scikit-Learn Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 0.22.1 Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X Ryzen 9 5900X AMD 5950X 3 6 9 12 15 SE +/- 0.008, N = 3 SE +/- 0.045, N = 3 SE +/- 0.060, N = 3 SE +/- 0.039, N = 3 SE +/- 0.030, N = 3 SE +/- 0.007, N = 3 SE +/- 0.060, N = 3 SE +/- 0.058, N = 3 10.545 8.164 7.331 7.221 7.213 7.161 7.144 7.110
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 0.22.1 Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X Ryzen 9 5900X AMD 5950X 3 6 9 12 15 Min: 10.53 / Avg: 10.55 / Max: 10.56 Min: 8.11 / Avg: 8.16 / Max: 8.25 Min: 7.26 / Avg: 7.33 / Max: 7.45 Min: 7.15 / Avg: 7.22 / Max: 7.28 Min: 7.16 / Avg: 7.21 / Max: 7.26 Min: 7.15 / Avg: 7.16 / Max: 7.18 Min: 7.08 / Avg: 7.14 / Max: 7.26 Min: 7 / Avg: 7.11 / Max: 7.19
LibRaw LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mpix/sec, More Is Better LibRaw 0.20 Post-Processing Benchmark Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 12 24 36 48 60 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.29, N = 3 SE +/- 0.20, N = 3 SE +/- 0.16, N = 3 SE +/- 0.06, N = 3 SE +/- 0.24, N = 3 SE +/- 0.13, N = 3 37.14 41.91 54.03 54.20 54.29 54.41 54.73 55.07 1. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
Result Confidence
OpenBenchmarking.org Mpix/sec, More Is Better LibRaw 0.20 Post-Processing Benchmark Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 11 22 33 44 55 Min: 37.05 / Avg: 37.14 / Max: 37.25 Min: 41.81 / Avg: 41.91 / Max: 42.06 Min: 53.66 / Avg: 54.03 / Max: 54.6 Min: 53.84 / Avg: 54.2 / Max: 54.51 Min: 54.01 / Avg: 54.29 / Max: 54.58 Min: 54.32 / Avg: 54.41 / Max: 54.53 Min: 54.3 / Avg: 54.73 / Max: 55.14 Min: 54.83 / Avg: 55.07 / Max: 55.27 1. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
Inkscape Inkscape is an open-source vector graphics editor. This test profile times how long it takes to complete various operations by Inkscape. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Inkscape Operation: SVG Files To PNG Ryzen 7 3800XT Core i5 10600K AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 6 12 18 24 30 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.04, N = 3 24.20 20.87 18.75 18.55 18.55 18.54 18.53 16.32 1. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Inkscape Operation: SVG Files To PNG Ryzen 7 3800XT Core i5 10600K AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 6 12 18 24 30 Min: 24.13 / Avg: 24.2 / Max: 24.33 Min: 20.8 / Avg: 20.87 / Max: 20.96 Min: 18.62 / Avg: 18.75 / Max: 18.91 Min: 18.4 / Avg: 18.55 / Max: 18.74 Min: 18.38 / Avg: 18.55 / Max: 18.66 Min: 18.44 / Avg: 18.54 / Max: 18.61 Min: 18.36 / Avg: 18.53 / Max: 18.7 Min: 16.26 / Avg: 16.32 / Max: 16.39 1. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)
Radiance Benchmark This is a benchmark of NREL Radiance, a synthetic imaging system that is open-source and developed by the Lawrence Berkeley National Laboratory in California. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Radiance Benchmark 5.0 Test: Serial Core i5 10600K Ryzen 7 3800XT AMD 5900X Ryzen 9 5900X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X AMD Ryzen 9 5950X 130 260 390 520 650 610.55 531.10 435.40 431.36 430.74 425.02 423.43 416.58
librsvg RSVG/librsvg is an SVG vector graphics library. This test profile times how long it takes to complete various operations by rsvg-convert. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better librsvg Operation: SVG Files To PNG Ryzen 7 3800XT AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Core i5 10600K Ryzen 9 5900X 6 12 18 24 30 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.15, N = 3 SE +/- 0.17, N = 3 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 24.79 23.51 23.48 23.33 23.26 23.19 20.65 16.92 1. rsvg-convert version 2.48.7
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better librsvg Operation: SVG Files To PNG Ryzen 7 3800XT AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Core i5 10600K Ryzen 9 5900X 6 12 18 24 30 Min: 24.68 / Avg: 24.78 / Max: 24.86 Min: 23.47 / Avg: 23.51 / Max: 23.6 Min: 23.26 / Avg: 23.48 / Max: 23.65 Min: 23.24 / Avg: 23.33 / Max: 23.51 Min: 22.99 / Avg: 23.26 / Max: 23.49 Min: 22.88 / Avg: 23.19 / Max: 23.46 Min: 20.52 / Avg: 20.65 / Max: 20.87 Min: 16.8 / Avg: 16.92 / Max: 17.02 1. rsvg-convert version 2.48.7
RNNoise RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better RNNoise 2020-06-28 Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5900X 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.14, N = 3 SE +/- 0.20, N = 3 SE +/- 0.17, N = 3 22.35 17.36 15.55 15.46 15.37 15.33 15.33 15.30 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better RNNoise 2020-06-28 Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5900X 5 10 15 20 25 Min: 22.33 / Avg: 22.35 / Max: 22.36 Min: 17.16 / Avg: 17.36 / Max: 17.49 Min: 15.35 / Avg: 15.55 / Max: 15.68 Min: 15.35 / Avg: 15.46 / Max: 15.56 Min: 15.23 / Avg: 15.37 / Max: 15.46 Min: 15.07 / Avg: 15.33 / Max: 15.55 Min: 14.94 / Avg: 15.33 / Max: 15.62 Min: 15.01 / Avg: 15.3 / Max: 15.61 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
Basis Universal Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 0 Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 2 4 6 8 10 SE +/- 0.001, N = 3 SE +/- 0.011, N = 3 SE +/- 0.006, N = 3 SE +/- 0.022, N = 3 SE +/- 0.028, N = 3 SE +/- 0.009, N = 3 SE +/- 0.026, N = 3 SE +/- 0.012, N = 3 7.590 6.955 5.417 5.304 5.283 5.265 5.231 5.200 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 0 Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X 3 6 9 12 15 Min: 7.59 / Avg: 7.59 / Max: 7.59 Min: 6.94 / Avg: 6.96 / Max: 6.98 Min: 5.41 / Avg: 5.42 / Max: 5.43 Min: 5.26 / Avg: 5.3 / Max: 5.34 Min: 5.25 / Avg: 5.28 / Max: 5.34 Min: 5.25 / Avg: 5.27 / Max: 5.28 Min: 5.18 / Avg: 5.23 / Max: 5.26 Min: 5.18 / Avg: 5.2 / Max: 5.22 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
GIMP GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: resize Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 2 4 6 8 10 SE +/- 0.079, N = 3 SE +/- 0.046, N = 3 SE +/- 0.064, N = 3 SE +/- 0.056, N = 3 SE +/- 0.040, N = 3 SE +/- 0.054, N = 3 SE +/- 0.084, N = 3 SE +/- 0.066, N = 3 7.877 7.637 6.388 6.369 6.354 6.321 6.301 5.409
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: resize Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 3 6 9 12 15 Min: 7.79 / Avg: 7.88 / Max: 8.04 Min: 7.58 / Avg: 7.64 / Max: 7.73 Min: 6.3 / Avg: 6.39 / Max: 6.51 Min: 6.31 / Avg: 6.37 / Max: 6.48 Min: 6.3 / Avg: 6.35 / Max: 6.43 Min: 6.22 / Avg: 6.32 / Max: 6.41 Min: 6.19 / Avg: 6.3 / Max: 6.46 Min: 5.34 / Avg: 5.41 / Max: 5.54
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU Ryzen 7 3800XT Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Core i5 10600K 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 19.88 18.38 17.89 17.69 17.64 17.33 17.13 13.74 MIN: 19.55 MIN: 17.17 MIN: 17.62 MIN: 17.44 MIN: 17.44 MIN: 16.98 MIN: 16.77 MIN: 13.32 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU Ryzen 7 3800XT Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Core i5 10600K 5 10 15 20 25 Min: 19.84 / Avg: 19.88 / Max: 19.94 Min: 18.23 / Avg: 18.38 / Max: 18.5 Min: 17.86 / Avg: 17.89 / Max: 17.91 Min: 17.66 / Avg: 17.69 / Max: 17.71 Min: 17.61 / Avg: 17.64 / Max: 17.68 Min: 17.28 / Avg: 17.33 / Max: 17.38 Min: 17.11 / Avg: 17.13 / Max: 17.15 Min: 13.67 / Avg: 13.74 / Max: 13.81 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Radiance Benchmark This is a benchmark of NREL Radiance, a synthetic imaging system that is open-source and developed by the Lawrence Berkeley National Laboratory in California. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Radiance Benchmark 5.0 Test: SMP Parallel Core i5 10600K Ryzen 7 3800XT Ryzen 9 5950X AMD 5950X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X 40 80 120 160 200 193.68 168.70 136.69 136.62 136.52 135.94 134.14 134.08
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.
Result
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: inception-v3 Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X AMD 5950X 9 18 27 36 45 SE +/- 0.02, N = 3 SE +/- 0.50, N = 3 SE +/- 0.47, N = 3 SE +/- 0.35, N = 5 SE +/- 0.19, N = 15 SE +/- 0.17, N = 15 SE +/- 0.16, N = 15 SE +/- 0.09, N = 3 38.68 32.65 27.75 27.65 27.58 27.30 26.97 26.87 MIN: 38.57 / MAX: 51.69 MIN: 31.57 / MAX: 44.63 MIN: 26.86 / MAX: 38.18 MIN: 26.23 / MAX: 38.2 MIN: 26.68 / MAX: 39.91 MIN: 26.09 / MAX: 40.29 MIN: 26.02 / MAX: 39.93 MIN: 26.58 / MAX: 38.89 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
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: inception-v3 Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X AMD 5950X 8 16 24 32 40 Min: 38.65 / Avg: 38.68 / Max: 38.71 Min: 31.73 / Avg: 32.65 / Max: 33.44 Min: 27.19 / Avg: 27.75 / Max: 28.68 Min: 26.62 / Avg: 27.65 / Max: 28.57 Min: 26.94 / Avg: 27.58 / Max: 29.03 Min: 26.22 / Avg: 27.3 / Max: 28.4 Min: 26.31 / Avg: 26.97 / Max: 28.15 Min: 26.75 / Avg: 26.87 / Max: 27.05 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
Darktable Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.0.1 Test: Server Room - Acceleration: CPU-only AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X Core i5 10600K Ryzen 7 3800XT 1.2949 2.5898 3.8847 5.1796 6.4745 SE +/- 0.028, N = 3 SE +/- 0.007, N = 3 SE +/- 0.008, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.007, N = 3 SE +/- 0.005, N = 3 SE +/- 0.003, N = 3 5.755 5.743 5.726 5.595 5.578 5.570 4.304 4.018
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.0.1 Test: Server Room - Acceleration: CPU-only AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X Core i5 10600K Ryzen 7 3800XT 2 4 6 8 10 Min: 5.72 / Avg: 5.76 / Max: 5.81 Min: 5.73 / Avg: 5.74 / Max: 5.75 Min: 5.71 / Avg: 5.73 / Max: 5.74 Min: 5.59 / Avg: 5.59 / Max: 5.6 Min: 5.57 / Avg: 5.58 / Max: 5.59 Min: 5.56 / Avg: 5.57 / Max: 5.58 Min: 4.3 / Avg: 4.3 / Max: 4.31 Min: 4.01 / Avg: 4.02 / Max: 4.02
Basis Universal Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: ETC1S Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X 12 24 36 48 60 SE +/- 0.23, N = 3 SE +/- 0.24, N = 3 SE +/- 0.25, N = 3 SE +/- 0.32, N = 3 SE +/- 0.27, N = 3 SE +/- 0.08, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 52.18 45.94 37.62 37.57 37.36 36.65 36.64 36.57 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: ETC1S Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X 10 20 30 40 50 Min: 51.81 / Avg: 52.18 / Max: 52.62 Min: 45.45 / Avg: 45.94 / Max: 46.2 Min: 37.12 / Avg: 37.62 / Max: 37.89 Min: 36.95 / Avg: 37.57 / Max: 37.99 Min: 36.85 / Avg: 37.36 / Max: 37.75 Min: 36.53 / Avg: 36.65 / Max: 36.79 Min: 36.43 / Avg: 36.64 / Max: 36.85 Min: 36.5 / Avg: 36.57 / Max: 36.69 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch All - Data Type: f32 - Engine: CPU Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 14 28 42 56 70 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.15, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.16, N = 3 SE +/- 0.09, N = 3 64.28 63.61 49.33 47.48 47.47 45.55 45.43 45.26 MIN: 62.74 MIN: 62.5 MIN: 47.45 MIN: 46.85 MIN: 46.81 MIN: 44.62 MIN: 44.52 MIN: 44.47 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch All - Data Type: f32 - Engine: CPU Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X 13 26 39 52 65 Min: 64.26 / Avg: 64.28 / Max: 64.3 Min: 63.55 / Avg: 63.61 / Max: 63.7 Min: 49.08 / Avg: 49.33 / Max: 49.61 Min: 47.32 / Avg: 47.48 / Max: 47.62 Min: 47.34 / Avg: 47.47 / Max: 47.56 Min: 45.44 / Avg: 45.55 / Max: 45.69 Min: 45.14 / Avg: 45.43 / Max: 45.68 Min: 45.08 / Avg: 45.26 / Max: 45.38 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
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.
Result
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 0 Two-Pass Core i5 10600K Ryzen 7 3800XT AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X Ryzen 9 5950X 0.099 0.198 0.297 0.396 0.495 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.31 0.33 0.42 0.43 0.43 0.43 0.43 0.44 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 0 Two-Pass Core i5 10600K Ryzen 7 3800XT AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X Ryzen 9 5950X 1 2 3 4 5 Min: 0.31 / Avg: 0.31 / Max: 0.31 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.42 / Avg: 0.42 / Max: 0.43 Min: 0.43 / Avg: 0.43 / Max: 0.43 Min: 0.43 / Avg: 0.43 / Max: 0.44 Min: 0.42 / Avg: 0.43 / Max: 0.44 Min: 0.43 / Avg: 0.43 / Max: 0.43 Min: 0.44 / Avg: 0.44 / Max: 0.44 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X 2 4 6 8 10 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 7.06 6.83 5.29 5.26 5.22 5.11 5.03 5.02 MIN: 6.91 / MAX: 8.15 MIN: 6.76 / MAX: 6.94 MIN: 5.2 / MAX: 28.09 MIN: 5.2 / MAX: 6.53 MIN: 5.16 / MAX: 6.29 MIN: 4.98 / MAX: 14.26 MIN: 4.97 / MAX: 6.11 MIN: 4.93 / MAX: 6.47 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X 3 6 9 12 15 Min: 6.99 / Avg: 7.06 / Max: 7.17 Min: 6.79 / Avg: 6.83 / Max: 6.89 Min: 5.22 / Avg: 5.29 / Max: 5.41 Min: 5.25 / Avg: 5.26 / Max: 5.26 Min: 5.19 / Avg: 5.22 / Max: 5.26 Min: 5.05 / Avg: 5.11 / Max: 5.19 Min: 5 / Avg: 5.03 / Max: 5.07 Min: 4.97 / Avg: 5.02 / Max: 5.08 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU Core i5 10600K AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X 0.1643 0.3286 0.4929 0.6572 0.8215 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.73 0.58 0.58 0.58 0.55 0.53 0.53 0.52 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU Core i5 10600K AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X 2 4 6 8 10 Min: 0.73 / Avg: 0.73 / Max: 0.73 Min: 0.58 / Avg: 0.58 / Max: 0.58 Min: 0.58 / Avg: 0.58 / Max: 0.58 Min: 0.58 / Avg: 0.58 / Max: 0.58 Min: 0.54 / Avg: 0.55 / Max: 0.55 Min: 0.52 / Avg: 0.53 / Max: 0.53 Min: 0.52 / Avg: 0.53 / Max: 0.53 Min: 0.52 / Avg: 0.52 / Max: 0.52 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
CloverLeaf CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm8192.in input file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf Lagrangian-Eulerian Hydrodynamics Ryzen 7 3800XT Ryzen 5 2600 Ryzen 5 2600X Ryzen 9 5900X Core i5 10600K AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X 1.1745 2.349 3.5235 4.698 5.8725 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 5.22 4.71 4.59 4.19 3.97 3.90 3.87 3.86 3.79 3.73 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf Lagrangian-Eulerian Hydrodynamics Ryzen 7 3800XT Ryzen 5 2600 Ryzen 5 2600X Ryzen 9 5900X Core i5 10600K AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X 2 4 6 8 10 Min: 5.21 / Avg: 5.22 / Max: 5.23 Min: 4.71 / Avg: 4.71 / Max: 4.72 Min: 4.58 / Avg: 4.59 / Max: 4.59 Min: 4.14 / Avg: 4.19 / Max: 4.25 Min: 3.96 / Avg: 3.97 / Max: 3.98 Min: 3.89 / Avg: 3.9 / Max: 3.92 Min: 3.86 / Avg: 3.87 / Max: 3.88 Min: 3.85 / Avg: 3.86 / Max: 3.88 Min: 3.78 / Avg: 3.79 / Max: 3.82 Min: 3.72 / Avg: 3.73 / Max: 3.73 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
SVT-AV1 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 0 - Input: 1080p Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 0.0374 0.0748 0.1122 0.1496 0.187 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 0.119 0.130 0.161 0.161 0.162 0.164 0.165 0.166 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 0 - Input: 1080p Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 1 2 3 4 5 Min: 0.12 / Avg: 0.12 / Max: 0.12 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.16 / Avg: 0.16 / Max: 0.17 Min: 0.16 / Avg: 0.17 / Max: 0.17 Min: 0.16 / Avg: 0.17 / Max: 0.17 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
Mlpack Benchmark Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_svm Core i5 10600K Ryzen 7 3800XT AMD 5900X Ryzen 9 5950X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5900X AMD Ryzen 9 5950X 5 10 15 20 25 SE +/- 0.04, N = 3 SE +/- 0.18, N = 3 SE +/- 0.16, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.19, N = 3 SE +/- 0.22, N = 3 22.44 18.16 16.38 16.37 16.35 16.31 16.29 16.20
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_svm Core i5 10600K Ryzen 7 3800XT AMD 5900X Ryzen 9 5950X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5900X AMD Ryzen 9 5950X 5 10 15 20 25 Min: 22.37 / Avg: 22.44 / Max: 22.48 Min: 17.94 / Avg: 18.16 / Max: 18.51 Min: 16.09 / Avg: 16.38 / Max: 16.62 Min: 16.25 / Avg: 16.37 / Max: 16.48 Min: 16.15 / Avg: 16.35 / Max: 16.45 Min: 16.28 / Avg: 16.31 / Max: 16.33 Min: 16.09 / Avg: 16.29 / Max: 16.66 Min: 15.79 / Avg: 16.2 / Max: 16.52
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 Ryzen 7 3800XT Core i5 10600K Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X 1.2645 2.529 3.7935 5.058 6.3225 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 5.62 5.32 4.39 4.38 4.36 4.17 4.12 4.09 MIN: 5.45 / MAX: 16.11 MIN: 5.17 / MAX: 5.48 MIN: 4.31 / MAX: 5.44 MIN: 4.29 / MAX: 5.24 MIN: 4.3 / MAX: 4.53 MIN: 4.08 / MAX: 5.17 MIN: 4.06 / MAX: 5.05 MIN: 4.02 / MAX: 5.06 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 Ryzen 7 3800XT Core i5 10600K Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X 2 4 6 8 10 Min: 5.52 / Avg: 5.62 / Max: 5.7 Min: 5.29 / Avg: 5.32 / Max: 5.35 Min: 4.38 / Avg: 4.39 / Max: 4.39 Min: 4.36 / Avg: 4.38 / Max: 4.4 Min: 4.35 / Avg: 4.36 / Max: 4.37 Min: 4.12 / Avg: 4.17 / Max: 4.23 Min: 4.11 / Avg: 4.12 / Max: 4.14 Min: 4.08 / Avg: 4.09 / Max: 4.11 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Fast Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 1.2848 2.5696 3.8544 5.1392 6.424 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 5.71 5.47 4.43 4.36 4.35 4.25 4.22 4.19 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Fast Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X 2 4 6 8 10 Min: 5.7 / Avg: 5.71 / Max: 5.72 Min: 5.38 / Avg: 5.47 / Max: 5.53 Min: 4.39 / Avg: 4.43 / Max: 4.47 Min: 4.33 / Avg: 4.36 / Max: 4.39 Min: 4.32 / Avg: 4.35 / Max: 4.36 Min: 4.22 / Avg: 4.25 / Max: 4.28 Min: 4.19 / Avg: 4.22 / Max: 4.26 Min: 4.16 / Avg: 4.19 / Max: 4.24 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Basis Universal Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 2 + RDO Post-Processing Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 140 280 420 560 700 SE +/- 0.22, N = 3 SE +/- 1.12, N = 3 SE +/- 0.40, N = 3 SE +/- 0.38, N = 3 SE +/- 1.13, N = 3 SE +/- 0.68, N = 3 SE +/- 0.64, N = 3 SE +/- 0.33, N = 3 632.63 595.08 475.14 473.48 471.16 466.66 466.27 464.40 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 2 + RDO Post-Processing Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 110 220 330 440 550 Min: 632.22 / Avg: 632.63 / Max: 632.97 Min: 593.64 / Avg: 595.08 / Max: 597.28 Min: 474.35 / Avg: 475.14 / Max: 475.6 Min: 472.81 / Avg: 473.48 / Max: 474.13 Min: 469.49 / Avg: 471.16 / Max: 473.32 Min: 465.34 / Avg: 466.66 / Max: 467.56 Min: 465 / Avg: 466.27 / Max: 467 Min: 463.78 / Avg: 464.4 / Max: 464.92 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
G'MIC G'MIC is an open-source framework for image processing. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better G'MIC Test: 2D Function Plotting, 1000 Times AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X 30 60 90 120 150 SE +/- 0.15, N = 3 SE +/- 0.61, N = 3 SE +/- 0.05, N = 3 SE +/- 0.35, N = 3 SE +/- 0.50, N = 3 SE +/- 0.40, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 115.20 114.75 113.83 113.08 112.12 89.26 87.69 84.69 1. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better G'MIC Test: 2D Function Plotting, 1000 Times AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X 20 40 60 80 100 Min: 114.9 / Avg: 115.2 / Max: 115.35 Min: 113.55 / Avg: 114.75 / Max: 115.55 Min: 113.73 / Avg: 113.83 / Max: 113.9 Min: 112.43 / Avg: 113.08 / Max: 113.61 Min: 111.39 / Avg: 112.12 / Max: 113.08 Min: 88.68 / Avg: 89.26 / Max: 90.04 Min: 87.56 / Avg: 87.69 / Max: 87.78 Min: 84.5 / Avg: 84.69 / Max: 84.83 1. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU Core i5 10600K AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X 0.162 0.324 0.486 0.648 0.81 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.72 0.58 0.58 0.58 0.55 0.54 0.54 0.53 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU Core i5 10600K AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X 2 4 6 8 10 Min: 0.71 / Avg: 0.72 / Max: 0.72 Min: 0.58 / Avg: 0.58 / Max: 0.58 Min: 0.58 / Avg: 0.58 / Max: 0.58 Min: 0.58 / Avg: 0.58 / Max: 0.58 Min: 0.55 / Avg: 0.55 / Max: 0.56 Min: 0.54 / Avg: 0.54 / Max: 0.54 Min: 0.53 / Avg: 0.54 / Max: 0.54 Min: 0.53 / Avg: 0.53 / Max: 0.53 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
VP9 libvpx Encoding This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9/WebM format using a sample 1080p video. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.8.2 Speed: Speed 5 Ryzen 7 3800XT Core i5 10600K AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 8 16 24 32 40 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 SE +/- 0.15, N = 3 SE +/- 0.14, N = 3 SE +/- 0.21, N = 3 SE +/- 0.17, N = 3 SE +/- 0.12, N = 3 SE +/- 0.32, N = 3 26.46 28.63 29.90 29.98 30.07 30.57 30.68 35.89 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.8.2 Speed: Speed 5 Ryzen 7 3800XT Core i5 10600K AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 8 16 24 32 40 Min: 26.3 / Avg: 26.46 / Max: 26.75 Min: 28.57 / Avg: 28.63 / Max: 28.69 Min: 29.67 / Avg: 29.9 / Max: 30.17 Min: 29.81 / Avg: 29.98 / Max: 30.27 Min: 29.79 / Avg: 30.07 / Max: 30.47 Min: 30.24 / Avg: 30.57 / Max: 30.78 Min: 30.46 / Avg: 30.68 / Max: 30.88 Min: 35.36 / Avg: 35.89 / Max: 36.47 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
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.
Result
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 4 Two-Pass Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 0.7965 1.593 2.3895 3.186 3.9825 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 2.62 2.70 3.37 3.37 3.39 3.39 3.40 3.54 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 4 Two-Pass Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 2 4 6 8 10 Min: 2.61 / Avg: 2.62 / Max: 2.63 Min: 2.68 / Avg: 2.7 / Max: 2.73 Min: 3.35 / Avg: 3.37 / Max: 3.39 Min: 3.36 / Avg: 3.37 / Max: 3.38 Min: 3.34 / Avg: 3.39 / Max: 3.42 Min: 3.36 / Avg: 3.39 / Max: 3.42 Min: 3.38 / Avg: 3.4 / Max: 3.44 Min: 3.52 / Avg: 3.54 / Max: 3.56 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
TNN TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X AMD 5900X 60 120 180 240 300 SE +/- 0.04, N = 3 SE +/- 2.90, N = 3 SE +/- 0.65, N = 3 SE +/- 0.29, N = 3 SE +/- 0.42, N = 3 SE +/- 0.75, N = 3 SE +/- 1.90, N = 3 SE +/- 0.23, N = 3 278.17 230.34 215.37 213.31 213.04 212.68 210.02 206.23 MIN: 277.99 / MAX: 278.43 MIN: 223.27 / MAX: 236.05 MIN: 214.27 / MAX: 216.83 MIN: 212.7 / MAX: 214.73 MIN: 212.12 / MAX: 214.88 MIN: 211.05 / MAX: 213.81 MIN: 205.98 / MAX: 212.84 MIN: 205.74 / MAX: 206.98 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X AMD 5900X 50 100 150 200 250 Min: 278.08 / Avg: 278.17 / Max: 278.24 Min: 224.72 / Avg: 230.34 / Max: 234.38 Min: 214.44 / Avg: 215.37 / Max: 216.62 Min: 212.88 / Avg: 213.31 / Max: 213.87 Min: 212.32 / Avg: 213.04 / Max: 213.76 Min: 211.18 / Avg: 212.68 / Max: 213.5 Min: 206.25 / Avg: 210.02 / Max: 212.28 Min: 205.93 / Avg: 206.23 / Max: 206.67 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
RawTherapee RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better RawTherapee Total Benchmark Time Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X AMD 5900X Ryzen 9 5900X 14 28 42 56 70 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 60.94 57.95 46.44 46.31 46.29 46.15 46.14 45.28 1. RawTherapee, version 5.8, command line.
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better RawTherapee Total Benchmark Time Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X AMD 5900X Ryzen 9 5900X 12 24 36 48 60 Min: 60.93 / Avg: 60.94 / Max: 60.96 Min: 57.92 / Avg: 57.95 / Max: 57.98 Min: 46.36 / Avg: 46.44 / Max: 46.51 Min: 46.21 / Avg: 46.31 / Max: 46.4 Min: 46.25 / Avg: 46.29 / Max: 46.36 Min: 46.12 / Avg: 46.15 / Max: 46.18 Min: 46.05 / Avg: 46.14 / Max: 46.2 Min: 45.18 / Avg: 45.28 / Max: 45.37 1. RawTherapee, version 5.8, command line.
Timed Apache Compilation This test times how long it takes to build the Apache HTTPD web server. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed Apache Compilation 2.4.41 Time To Compile Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 5 10 15 20 25 SE +/- 0.08, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 21.43 21.14 17.49 17.42 17.16 17.08 17.03 15.98
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed Apache Compilation 2.4.41 Time To Compile Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 5 10 15 20 25 Min: 21.3 / Avg: 21.43 / Max: 21.57 Min: 21.14 / Avg: 21.14 / Max: 21.15 Min: 17.47 / Avg: 17.49 / Max: 17.5 Min: 17.33 / Avg: 17.42 / Max: 17.55 Min: 17.1 / Avg: 17.16 / Max: 17.26 Min: 17.02 / Avg: 17.08 / Max: 17.16 Min: 17 / Avg: 17.03 / Max: 17.08 Min: 15.87 / Avg: 15.98 / Max: 16.06
Numpy Benchmark This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Score, More Is Better Numpy Benchmark Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5900X AMD 5950X 120 240 360 480 600 SE +/- 0.40, N = 3 SE +/- 3.93, N = 3 SE +/- 6.34, N = 3 SE +/- 6.72, N = 3 SE +/- 2.84, N = 3 SE +/- 0.89, N = 3 SE +/- 4.47, N = 3 SE +/- 2.08, N = 3 414.85 432.84 540.68 547.80 550.80 551.99 552.07 556.02
Result Confidence
OpenBenchmarking.org Score, More Is Better Numpy Benchmark Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5900X AMD 5950X 100 200 300 400 500 Min: 414.13 / Avg: 414.85 / Max: 415.52 Min: 424.99 / Avg: 432.84 / Max: 437.2 Min: 528.58 / Avg: 540.68 / Max: 550 Min: 535.08 / Avg: 547.8 / Max: 557.92 Min: 547.61 / Avg: 550.8 / Max: 556.47 Min: 550.21 / Avg: 551.99 / Max: 552.91 Min: 543.63 / Avg: 552.07 / Max: 558.86 Min: 553.11 / Avg: 556.02 / Max: 560.04
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.
Result
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Two-Pass Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X Ryzen 9 5900X 1.2443 2.4886 3.7329 4.9772 6.2215 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 4.15 4.19 5.27 5.27 5.29 5.30 5.32 5.53 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Two-Pass Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X Ryzen 9 5900X 2 4 6 8 10 Min: 4.11 / Avg: 4.15 / Max: 4.18 Min: 4.18 / Avg: 4.19 / Max: 4.22 Min: 5.21 / Avg: 5.27 / Max: 5.34 Min: 5.23 / Avg: 5.27 / Max: 5.29 Min: 5.26 / Avg: 5.29 / Max: 5.32 Min: 5.29 / Avg: 5.3 / Max: 5.31 Min: 5.29 / Avg: 5.32 / Max: 5.36 Min: 5.46 / Avg: 5.53 / Max: 5.58 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
LAME MP3 Encoding LAME is an MP3 encoder licensed under the LGPL. This test measures the time required to encode a WAV file to MP3 format. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better LAME MP3 Encoding 3.100 WAV To MP3 Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5900X 2 4 6 8 10 SE +/- 0.004, N = 3 SE +/- 0.065, N = 3 SE +/- 0.028, N = 3 SE +/- 0.015, N = 3 SE +/- 0.008, N = 3 SE +/- 0.036, N = 3 SE +/- 0.076, N = 3 SE +/- 0.037, N = 3 7.385 6.698 5.637 5.613 5.599 5.574 5.567 5.553 1. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better LAME MP3 Encoding 3.100 WAV To MP3 Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5900X 3 6 9 12 15 Min: 7.38 / Avg: 7.39 / Max: 7.39 Min: 6.58 / Avg: 6.7 / Max: 6.81 Min: 5.58 / Avg: 5.64 / Max: 5.68 Min: 5.59 / Avg: 5.61 / Max: 5.64 Min: 5.59 / Avg: 5.6 / Max: 5.62 Min: 5.5 / Avg: 5.57 / Max: 5.62 Min: 5.42 / Avg: 5.57 / Max: 5.66 Min: 5.49 / Avg: 5.55 / Max: 5.61 1. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm
TNN TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: MobileNet v2 Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X 60 120 180 240 300 SE +/- 0.58, N = 3 SE +/- 1.22, N = 3 SE +/- 0.49, N = 3 SE +/- 0.27, N = 3 SE +/- 2.33, N = 3 SE +/- 1.70, N = 3 SE +/- 1.26, N = 3 SE +/- 1.09, N = 3 295.63 247.15 230.58 229.78 227.13 227.02 225.80 223.63 MIN: 294.42 / MAX: 297.03 MIN: 239.73 / MAX: 268.72 MIN: 229.51 / MAX: 235.65 MIN: 224.25 / MAX: 246.63 MIN: 221.63 / MAX: 242.93 MIN: 222.87 / MAX: 269.91 MIN: 222.45 / MAX: 235.3 MIN: 221.23 / MAX: 228.21 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: MobileNet v2 Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X 50 100 150 200 250 Min: 294.84 / Avg: 295.63 / Max: 296.76 Min: 245.33 / Avg: 247.15 / Max: 249.47 Min: 229.82 / Avg: 230.58 / Max: 231.49 Min: 229.44 / Avg: 229.78 / Max: 230.31 Min: 222.47 / Avg: 227.13 / Max: 229.47 Min: 223.72 / Avg: 227.02 / Max: 229.35 Min: 223.29 / Avg: 225.8 / Max: 227.12 Min: 221.95 / Avg: 223.63 / Max: 225.66 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
Himeno Benchmark The Himeno benchmark is a linear solver of pressure Poisson using a point-Jacobi method. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MFLOPS, More Is Better Himeno Benchmark 3.0 Poisson Pressure Solver Core i5 10600K AMD Ryzen 9 5900X Ryzen 7 3800XT AMD Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 5950X AMD 5950X AMD 5900X 1200 2400 3600 4800 6000 SE +/- 2.37, N = 3 SE +/- 70.89, N = 3 SE +/- 76.43, N = 4 SE +/- 69.69, N = 15 SE +/- 94.41, N = 12 SE +/- 61.59, N = 15 SE +/- 77.42, N = 15 SE +/- 54.65, N = 3 4117.18 5078.66 5140.61 5159.69 5197.82 5218.65 5312.92 5399.25 1. (CC) gcc options: -O3 -mavx2
Result Confidence
OpenBenchmarking.org MFLOPS, More Is Better Himeno Benchmark 3.0 Poisson Pressure Solver Core i5 10600K AMD Ryzen 9 5900X Ryzen 7 3800XT AMD Ryzen 9 5950X Ryzen 9 5900X Ryzen 9 5950X AMD 5950X AMD 5900X 900 1800 2700 3600 4500 Min: 4114.34 / Avg: 4117.18 / Max: 4121.89 Min: 4995.43 / Avg: 5078.66 / Max: 5219.69 Min: 4976.46 / Avg: 5140.61 / Max: 5309.62 Min: 4843.65 / Avg: 5159.69 / Max: 5740.24 Min: 4735.09 / Avg: 5197.82 / Max: 5736.65 Min: 4781.3 / Avg: 5218.65 / Max: 5618.86 Min: 4804.48 / Avg: 5312.92 / Max: 5909.5 Min: 5292.99 / Avg: 5399.25 / Max: 5474.56 1. (CC) gcc options: -O3 -mavx2
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: yolov4-tiny Ryzen 7 3800XT Core i5 10600K Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 7 14 21 28 35 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.27, N = 3 SE +/- 0.21, N = 3 SE +/- 0.03, N = 3 28.21 27.87 22.68 22.60 22.52 21.78 21.60 21.59 MIN: 27.96 / MAX: 47.31 MIN: 27.76 / MAX: 29.64 MIN: 22.33 / MAX: 23.21 MIN: 22.31 / MAX: 23.14 MIN: 22.15 / MAX: 23.19 MIN: 21.35 / MAX: 22.97 MIN: 21.07 / MAX: 22.32 MIN: 21.37 / MAX: 24.74 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: yolov4-tiny Ryzen 7 3800XT Core i5 10600K Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 6 12 18 24 30 Min: 28.13 / Avg: 28.21 / Max: 28.28 Min: 27.83 / Avg: 27.87 / Max: 27.92 Min: 22.54 / Avg: 22.68 / Max: 22.79 Min: 22.52 / Avg: 22.6 / Max: 22.67 Min: 22.46 / Avg: 22.52 / Max: 22.63 Min: 21.48 / Avg: 21.78 / Max: 22.31 Min: 21.26 / Avg: 21.6 / Max: 21.98 Min: 21.55 / Avg: 21.59 / Max: 21.64 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X 4 8 12 16 20 SE +/- 0.09, N = 3 SE +/- 0.01, N = 2 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.14, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 17.03 14.91 14.58 14.55 14.54 13.21 13.11 13.04 MIN: 16.77 / MAX: 21.74 MIN: 14.83 / MAX: 15.59 MIN: 14.47 / MAX: 15.32 MIN: 14.43 / MAX: 15.2 MIN: 14.43 / MAX: 14.67 MIN: 12.98 / MAX: 13.59 MIN: 12.93 / MAX: 22.21 MIN: 12.85 / MAX: 26.12 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X 4 8 12 16 20 Min: 16.85 / Avg: 17.03 / Max: 17.13 Min: 14.89 / Avg: 14.91 / Max: 14.92 Min: 14.57 / Avg: 14.58 / Max: 14.59 Min: 14.54 / Avg: 14.55 / Max: 14.55 Min: 14.52 / Avg: 14.54 / Max: 14.55 Min: 13.05 / Avg: 13.21 / Max: 13.48 Min: 13.03 / Avg: 13.11 / Max: 13.22 Min: 12.9 / Avg: 13.04 / Max: 13.11 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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.
Result
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: MobileNetV2_224 Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 0.8858 1.7716 2.6574 3.5432 4.429 SE +/- 0.030, N = 15 SE +/- 0.098, N = 3 SE +/- 0.037, N = 3 SE +/- 0.032, N = 3 SE +/- 0.004, N = 3 SE +/- 0.017, N = 15 SE +/- 0.018, N = 15 SE +/- 0.017, N = 5 3.937 3.929 3.840 3.413 3.405 3.051 3.037 3.021 MIN: 3.72 / MAX: 16.56 MIN: 3.77 / MAX: 4.75 MIN: 3.75 / MAX: 4.47 MIN: 3.34 / MAX: 14.62 MIN: 3.33 / MAX: 4.91 MIN: 2.87 / MAX: 5.06 MIN: 2.81 / MAX: 15.24 MIN: 2.89 / MAX: 3.86 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
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: MobileNetV2_224 Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 2 4 6 8 10 Min: 3.78 / Avg: 3.94 / Max: 4.11 Min: 3.79 / Avg: 3.93 / Max: 4.12 Min: 3.78 / Avg: 3.84 / Max: 3.9 Min: 3.38 / Avg: 3.41 / Max: 3.48 Min: 3.4 / Avg: 3.4 / Max: 3.41 Min: 2.94 / Avg: 3.05 / Max: 3.16 Min: 2.88 / Avg: 3.04 / Max: 3.14 Min: 2.96 / Avg: 3.02 / Max: 3.05 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 NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X 4 8 12 16 20 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 16.25 15.07 13.48 13.40 13.39 12.69 12.55 12.51 MIN: 15.91 / MAX: 17.23 MIN: 14.81 / MAX: 16 MIN: 13.06 / MAX: 13.95 MIN: 13.06 / MAX: 13.96 MIN: 13.02 / MAX: 13.98 MIN: 12.47 / MAX: 15.01 MIN: 12.36 / MAX: 13.38 MIN: 12.21 / MAX: 25.96 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X 4 8 12 16 20 Min: 16.02 / Avg: 16.25 / Max: 16.43 Min: 14.91 / Avg: 15.07 / Max: 15.26 Min: 13.38 / Avg: 13.48 / Max: 13.6 Min: 13.37 / Avg: 13.4 / Max: 13.43 Min: 13.39 / Avg: 13.39 / Max: 13.4 Min: 12.56 / Avg: 12.69 / Max: 12.92 Min: 12.49 / Avg: 12.55 / Max: 12.58 Min: 12.42 / Avg: 12.51 / Max: 12.61 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 8 Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD 5950X Ryzen 9 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X 1.2344 2.4688 3.7032 4.9376 6.172 SE +/- 0.017, N = 3 SE +/- 0.021, N = 3 SE +/- 0.030, N = 3 SE +/- 0.006, N = 3 SE +/- 0.043, N = 3 SE +/- 0.020, N = 3 SE +/- 0.027, N = 3 SE +/- 0.013, N = 3 5.486 4.749 4.329 4.306 4.298 4.277 4.268 4.230 1. (CXX) g++ options: -O3 -fPIC
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 8 Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD 5950X Ryzen 9 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X 2 4 6 8 10 Min: 5.46 / Avg: 5.49 / Max: 5.52 Min: 4.71 / Avg: 4.75 / Max: 4.78 Min: 4.28 / Avg: 4.33 / Max: 4.38 Min: 4.3 / Avg: 4.31 / Max: 4.32 Min: 4.21 / Avg: 4.3 / Max: 4.36 Min: 4.25 / Avg: 4.28 / Max: 4.32 Min: 4.21 / Avg: 4.27 / Max: 4.3 Min: 4.21 / Avg: 4.23 / Max: 4.25 1. (CXX) g++ options: -O3 -fPIC
GIMP GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: rotate Core i5 10600K Ryzen 7 3800XT Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X 3 6 9 12 15 SE +/- 0.007, N = 3 SE +/- 0.019, N = 3 SE +/- 0.033, N = 3 SE +/- 0.030, N = 3 SE +/- 0.020, N = 3 SE +/- 0.033, N = 3 SE +/- 0.035, N = 3 SE +/- 0.017, N = 3 10.859 10.808 9.400 9.393 9.365 9.356 9.313 8.381
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: rotate Core i5 10600K Ryzen 7 3800XT Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X 3 6 9 12 15 Min: 10.85 / Avg: 10.86 / Max: 10.87 Min: 10.79 / Avg: 10.81 / Max: 10.85 Min: 9.34 / Avg: 9.4 / Max: 9.45 Min: 9.36 / Avg: 9.39 / Max: 9.45 Min: 9.33 / Avg: 9.37 / Max: 9.39 Min: 9.29 / Avg: 9.36 / Max: 9.4 Min: 9.27 / Avg: 9.31 / Max: 9.38 Min: 8.36 / Avg: 8.38 / Max: 8.42
libjpeg-turbo tjbench tjbench is a JPEG decompression/compression benchmark part of libjpeg-turbo. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Megapixels/sec, More Is Better libjpeg-turbo tjbench 2.0.2 Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X 60 120 180 240 300 SE +/- 0.45, N = 3 SE +/- 0.30, N = 3 SE +/- 0.05, N = 3 SE +/- 1.88, N = 3 SE +/- 1.48, N = 3 SE +/- 4.27, N = 3 SE +/- 1.13, N = 3 SE +/- 1.96, N = 3 223.30 228.19 278.93 281.47 281.85 284.35 286.10 289.24 -lm 1. (CC) gcc options: -O3 -rdynamic
Result Confidence
OpenBenchmarking.org Megapixels/sec, More Is Better libjpeg-turbo tjbench 2.0.2 Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X 50 100 150 200 250 Min: 222.4 / Avg: 223.3 / Max: 223.86 Min: 227.69 / Avg: 228.19 / Max: 228.71 Min: 278.83 / Avg: 278.93 / Max: 279 Min: 277.75 / Avg: 281.47 / Max: 283.77 Min: 279.98 / Avg: 281.85 / Max: 284.76 Min: 278.99 / Avg: 284.35 / Max: 292.79 Min: 283.92 / Avg: 286.1 / Max: 287.73 Min: 285.34 / Avg: 289.24 / Max: 291.48 1. (CC) gcc options: -O3 -rdynamic
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 4 8 12 16 20 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.16, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 16.37 16.18 13.26 13.22 13.18 12.89 12.72 12.64 MIN: 16.14 / MAX: 16.71 MIN: 16.07 / MAX: 26.32 MIN: 12.94 / MAX: 13.72 MIN: 12.92 / MAX: 18.13 MIN: 12.73 / MAX: 14.58 MIN: 12.51 / MAX: 13.51 MIN: 12.33 / MAX: 13.58 MIN: 12.34 / MAX: 15.69 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 4 8 12 16 20 Min: 16.26 / Avg: 16.37 / Max: 16.45 Min: 16.12 / Avg: 16.18 / Max: 16.24 Min: 13.22 / Avg: 13.26 / Max: 13.31 Min: 13.15 / Avg: 13.22 / Max: 13.3 Min: 12.96 / Avg: 13.18 / Max: 13.33 Min: 12.73 / Avg: 12.89 / Max: 13.2 Min: 12.49 / Avg: 12.72 / Max: 12.88 Min: 12.54 / Avg: 12.64 / Max: 12.69 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
eSpeak-NG Speech Engine This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5950X 6 12 18 24 30 SE +/- 0.01, N = 4 SE +/- 0.03, N = 4 SE +/- 0.03, N = 4 SE +/- 0.07, N = 4 SE +/- 0.24, N = 4 SE +/- 0.20, N = 4 SE +/- 0.04, N = 4 SE +/- 0.19, N = 4 26.94 26.56 21.54 21.42 21.04 21.02 20.98 20.88 1. (CC) gcc options: -O2 -std=c99
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5950X 6 12 18 24 30 Min: 26.9 / Avg: 26.94 / Max: 26.96 Min: 26.51 / Avg: 26.56 / Max: 26.66 Min: 21.5 / Avg: 21.54 / Max: 21.64 Min: 21.23 / Avg: 21.42 / Max: 21.53 Min: 20.35 / Avg: 21.04 / Max: 21.43 Min: 20.66 / Avg: 21.02 / Max: 21.59 Min: 20.89 / Avg: 20.98 / Max: 21.09 Min: 20.55 / Avg: 20.88 / Max: 21.34 1. (CC) gcc options: -O2 -std=c99
Hugin Hugin is an open-source, cross-platform panorama photo stitcher software package. This test profile times how long it takes to run the assistant and panorama photo stitching on a set of images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Hugin Panorama Photo Assistant + Stitching Time Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5900X Ryzen 9 5950X 10 20 30 40 50 SE +/- 0.11, N = 3 SE +/- 0.72, N = 3 SE +/- 0.23, N = 3 SE +/- 0.23, N = 3 SE +/- 0.37, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 SE +/- 0.38, N = 3 44.89 43.70 35.93 35.53 35.22 35.20 35.16 34.84
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Hugin Panorama Photo Assistant + Stitching Time Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5900X Ryzen 9 5950X 9 18 27 36 45 Min: 44.69 / Avg: 44.89 / Max: 45.05 Min: 42.85 / Avg: 43.7 / Max: 45.14 Min: 35.46 / Avg: 35.93 / Max: 36.19 Min: 35.28 / Avg: 35.53 / Max: 36 Min: 34.47 / Avg: 35.22 / Max: 35.64 Min: 35.08 / Avg: 35.19 / Max: 35.31 Min: 34.92 / Avg: 35.15 / Max: 35.28 Min: 34.36 / Avg: 34.84 / Max: 35.59
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X Core i5 10600K AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5900X Ryzen 7 3800XT 700 1400 2100 2800 3500 SE +/- 32.49, N = 3 SE +/- 26.56, N = 3 SE +/- 23.96, N = 3 SE +/- 8.52, N = 3 SE +/- 52.37, N = 3 SE +/- 5.02, N = 3 SE +/- 5.47, N = 3 SE +/- 2.90, N = 3 3228.37 3207.22 3187.54 3056.58 2681.80 2637.79 2631.26 2536.98 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X Core i5 10600K AMD 5900X Ryzen 9 5900X AMD Ryzen 9 5900X Ryzen 7 3800XT 600 1200 1800 2400 3000 Min: 3173.68 / Avg: 3228.37 / Max: 3286.09 Min: 3170.49 / Avg: 3207.22 / Max: 3258.81 Min: 3152.9 / Avg: 3187.54 / Max: 3233.53 Min: 3042.66 / Avg: 3056.58 / Max: 3072.06 Min: 2619.21 / Avg: 2681.8 / Max: 2785.82 Min: 2628.37 / Avg: 2637.79 / Max: 2645.5 Min: 2622.06 / Avg: 2631.26 / Max: 2640.98 Min: 2532.27 / Avg: 2536.98 / Max: 2542.26 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
VP9 libvpx Encoding This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9/WebM format using a sample 1080p video. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.8.2 Speed: Speed 0 Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5900X Ryzen 9 5900X 3 6 9 12 15 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 7.86 7.99 9.45 9.48 9.48 9.49 9.49 10.00 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.8.2 Speed: Speed 0 Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5900X Ryzen 9 5900X 3 6 9 12 15 Min: 7.81 / Avg: 7.86 / Max: 7.9 Min: 7.97 / Avg: 7.99 / Max: 8.01 Min: 9.39 / Avg: 9.45 / Max: 9.49 Min: 9.45 / Avg: 9.48 / Max: 9.5 Min: 9.45 / Avg: 9.48 / Max: 9.5 Min: 9.47 / Avg: 9.49 / Max: 9.51 Min: 9.48 / Avg: 9.49 / Max: 9.5 Min: 9.92 / Avg: 10 / Max: 10.07 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
Mlpack Benchmark Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_ica Core i5 10600K AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X AMD 5900X Ryzen 9 5900X Ryzen 7 3800XT AMD Ryzen 9 5900X 14 28 42 56 70 SE +/- 0.22, N = 3 SE +/- 0.35, N = 3 SE +/- 0.51, N = 3 SE +/- 0.44, N = 3 SE +/- 0.05, N = 3 SE +/- 0.65, N = 3 SE +/- 0.53, N = 15 SE +/- 0.65, N = 3 60.49 50.87 50.19 49.82 49.44 48.37 48.29 47.77
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_ica Core i5 10600K AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X AMD 5900X Ryzen 9 5900X Ryzen 7 3800XT AMD Ryzen 9 5900X 12 24 36 48 60 Min: 60.04 / Avg: 60.49 / Max: 60.73 Min: 50.5 / Avg: 50.87 / Max: 51.57 Min: 49.44 / Avg: 50.19 / Max: 51.15 Min: 49.17 / Avg: 49.82 / Max: 50.66 Min: 49.35 / Avg: 49.44 / Max: 49.5 Min: 47.07 / Avg: 48.37 / Max: 49.06 Min: 44.24 / Avg: 48.29 / Max: 51.27 Min: 46.88 / Avg: 47.77 / Max: 49.05
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.
Result
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 10 Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5950X AMD 5900X Ryzen 9 5900X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X 1.1615 2.323 3.4845 4.646 5.8075 SE +/- 0.005, N = 3 SE +/- 0.013, N = 3 SE +/- 0.014, N = 3 SE +/- 0.024, N = 3 SE +/- 0.022, N = 3 SE +/- 0.007, N = 3 SE +/- 0.011, N = 3 SE +/- 0.001, N = 3 5.162 4.449 4.153 4.139 4.131 4.128 4.124 4.084 1. (CXX) g++ options: -O3 -fPIC
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 10 Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5950X AMD 5900X Ryzen 9 5900X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X 2 4 6 8 10 Min: 5.15 / Avg: 5.16 / Max: 5.17 Min: 4.43 / Avg: 4.45 / Max: 4.47 Min: 4.13 / Avg: 4.15 / Max: 4.18 Min: 4.09 / Avg: 4.14 / Max: 4.16 Min: 4.09 / Avg: 4.13 / Max: 4.16 Min: 4.12 / Avg: 4.13 / Max: 4.14 Min: 4.11 / Avg: 4.12 / Max: 4.14 Min: 4.08 / Avg: 4.08 / Max: 4.09 1. (CXX) g++ options: -O3 -fPIC
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD 5950X AMD Ryzen 9 5900X Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.14, N = 3 SE +/- 0.16, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 15.46 14.78 12.93 12.90 12.90 12.88 12.84 12.27 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Result Confidence
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Core i5 10600K Ryzen 7 3800XT AMD 5900X AMD 5950X AMD Ryzen 9 5900X Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X 4 8 12 16 20 Min: 15.45 / Avg: 15.46 / Max: 15.47 Min: 14.58 / Avg: 14.78 / Max: 15.05 Min: 12.62 / Avg: 12.93 / Max: 13.18 Min: 12.82 / Avg: 12.9 / Max: 13.02 Min: 12.81 / Avg: 12.89 / Max: 13 Min: 12.67 / Avg: 12.88 / Max: 12.98 Min: 12.77 / Avg: 12.84 / Max: 12.95 Min: 12.26 / Avg: 12.27 / Max: 12.28 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Scale Core i5 10600K Ryzen 7 3800XT Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 1.2632 2.5264 3.7896 5.0528 6.316 SE +/- 0.021, N = 3 SE +/- 0.014, N = 3 SE +/- 0.021, N = 3 SE +/- 0.029, N = 3 SE +/- 0.017, N = 3 SE +/- 0.017, N = 3 SE +/- 0.017, N = 3 SE +/- 0.005, N = 3 5.614 5.230 4.647 4.640 4.635 4.569 4.556 4.466
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Scale Core i5 10600K Ryzen 7 3800XT Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 2 4 6 8 10 Min: 5.58 / Avg: 5.61 / Max: 5.65 Min: 5.21 / Avg: 5.23 / Max: 5.26 Min: 4.61 / Avg: 4.65 / Max: 4.68 Min: 4.58 / Avg: 4.64 / Max: 4.67 Min: 4.6 / Avg: 4.64 / Max: 4.66 Min: 4.55 / Avg: 4.57 / Max: 4.6 Min: 4.53 / Avg: 4.56 / Max: 4.59 Min: 4.46 / Avg: 4.47 / Max: 4.47
GNU Octave Benchmark This test profile measures how long it takes to complete several reference GNU Octave files via octave-benchmark. GNU Octave is used for numerical computations and is an open-source alternative to MATLAB. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GNU Octave Benchmark 5.2.0 Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5900X Ryzen 9 5950X AMD 5950X AMD 5900X AMD Ryzen 9 5950X Ryzen 9 5900X 2 4 6 8 10 SE +/- 0.045, N = 5 SE +/- 0.034, N = 5 SE +/- 0.020, N = 5 SE +/- 0.015, N = 5 SE +/- 0.034, N = 5 SE +/- 0.015, N = 5 SE +/- 0.026, N = 5 SE +/- 0.035, N = 5 6.523 6.183 5.252 5.244 5.234 5.214 5.207 5.207
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GNU Octave Benchmark 5.2.0 Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5900X Ryzen 9 5950X AMD 5950X AMD 5900X AMD Ryzen 9 5950X Ryzen 9 5900X 3 6 9 12 15 Min: 6.36 / Avg: 6.52 / Max: 6.62 Min: 6.14 / Avg: 6.18 / Max: 6.32 Min: 5.18 / Avg: 5.25 / Max: 5.29 Min: 5.22 / Avg: 5.24 / Max: 5.3 Min: 5.15 / Avg: 5.23 / Max: 5.34 Min: 5.17 / Avg: 5.21 / Max: 5.25 Min: 5.15 / Avg: 5.21 / Max: 5.3 Min: 5.07 / Avg: 5.21 / Max: 5.28
Darktable Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.0.1 Test: Boat - Acceleration: CPU-only AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X Core i5 10600K Ryzen 7 3800XT 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 14.20 14.17 14.12 13.01 13.00 12.97 12.57 11.42
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.0.1 Test: Boat - Acceleration: CPU-only AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X Core i5 10600K Ryzen 7 3800XT 4 8 12 16 20 Min: 14.15 / Avg: 14.2 / Max: 14.24 Min: 14.14 / Avg: 14.17 / Max: 14.21 Min: 14.09 / Avg: 14.12 / Max: 14.18 Min: 13 / Avg: 13.01 / Max: 13.02 Min: 12.99 / Avg: 12.99 / Max: 13 Min: 12.95 / Avg: 12.97 / Max: 12.99 Min: 12.54 / Avg: 12.57 / Max: 12.61 Min: 11.39 / Avg: 11.42 / Max: 11.44
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet Ryzen 7 3800XT Core i5 10600K AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X 1.035 2.07 3.105 4.14 5.175 SE +/- 0.07, N = 3 SE +/- 0.03, N = 2 SE +/- 0.01, N = 2 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 4.60 4.26 3.91 3.91 3.89 3.76 3.71 3.70 MIN: 4.42 / MAX: 5.78 MIN: 4.21 / MAX: 4.99 MIN: 3.85 / MAX: 5.14 MIN: 3.88 / MAX: 4.74 MIN: 3.86 / MAX: 4.06 MIN: 3.67 / MAX: 4.64 MIN: 3.66 / MAX: 4.9 MIN: 3.64 / MAX: 4.59 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet Ryzen 7 3800XT Core i5 10600K AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X 2 4 6 8 10 Min: 4.49 / Avg: 4.6 / Max: 4.72 Min: 4.23 / Avg: 4.26 / Max: 4.29 Min: 3.9 / Avg: 3.91 / Max: 3.92 Min: 3.91 / Avg: 3.91 / Max: 3.91 Min: 3.88 / Avg: 3.89 / Max: 3.89 Min: 3.72 / Avg: 3.76 / Max: 3.85 Min: 3.7 / Avg: 3.71 / Max: 3.73 Min: 3.68 / Avg: 3.7 / Max: 3.74 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X Core i5 10600K AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X Ryzen 7 3800XT 700 1400 2100 2800 3500 SE +/- 8.92, N = 3 SE +/- 35.59, N = 3 SE +/- 9.98, N = 3 SE +/- 8.66, N = 3 SE +/- 15.54, N = 3 SE +/- 37.77, N = 3 SE +/- 15.41, N = 3 SE +/- 62.92, N = 3 3219.39 3212.67 3180.33 3058.23 2744.63 2723.93 2650.38 2600.77 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X Core i5 10600K AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X Ryzen 7 3800XT 600 1200 1800 2400 3000 Min: 3205.55 / Avg: 3219.39 / Max: 3236.05 Min: 3166.56 / Avg: 3212.67 / Max: 3282.68 Min: 3160.45 / Avg: 3180.33 / Max: 3191.87 Min: 3047.74 / Avg: 3058.23 / Max: 3075.4 Min: 2721.67 / Avg: 2744.63 / Max: 2774.25 Min: 2650.32 / Avg: 2723.93 / Max: 2775.42 Min: 2628.32 / Avg: 2650.38 / Max: 2680.04 Min: 2535.51 / Avg: 2600.77 / Max: 2726.59 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5900X Ryzen 9 5950X AMD 5950X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X 2 4 6 8 10 SE +/- 0.024, N = 3 SE +/- 0.012, N = 3 SE +/- 0.068, N = 3 SE +/- 0.022, N = 3 SE +/- 0.003, N = 3 SE +/- 0.025, N = 3 SE +/- 0.052, N = 3 SE +/- 0.045, N = 3 6.478 6.387 5.364 5.334 5.320 5.312 5.282 5.238 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Result Confidence
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5900X Ryzen 9 5950X AMD 5950X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5950X 3 6 9 12 15 Min: 6.43 / Avg: 6.48 / Max: 6.51 Min: 6.37 / Avg: 6.39 / Max: 6.41 Min: 5.23 / Avg: 5.36 / Max: 5.47 Min: 5.29 / Avg: 5.33 / Max: 5.36 Min: 5.32 / Avg: 5.32 / Max: 5.33 Min: 5.27 / Avg: 5.31 / Max: 5.36 Min: 5.2 / Avg: 5.28 / Max: 5.38 Min: 5.17 / Avg: 5.24 / Max: 5.33 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 Ryzen 7 3800XT Core i5 10600K AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X 1.098 2.196 3.294 4.392 5.49 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 4.88 4.44 4.17 4.17 4.16 4.00 3.97 3.95 MIN: 4.77 / MAX: 6.86 MIN: 4.35 / MAX: 5.76 MIN: 4.1 / MAX: 8.59 MIN: 4.11 / MAX: 5.23 MIN: 4.1 / MAX: 4.69 MIN: 3.93 / MAX: 4.85 MIN: 3.89 / MAX: 5.19 MIN: 3.89 / MAX: 4.88 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 Ryzen 7 3800XT Core i5 10600K AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X 2 4 6 8 10 Min: 4.85 / Avg: 4.88 / Max: 4.91 Min: 4.41 / Avg: 4.44 / Max: 4.46 Min: 4.15 / Avg: 4.17 / Max: 4.2 Min: 4.16 / Avg: 4.17 / Max: 4.18 Min: 4.14 / Avg: 4.16 / Max: 4.17 Min: 3.96 / Avg: 4 / Max: 4.07 Min: 3.94 / Avg: 3.97 / Max: 4 Min: 3.94 / Avg: 3.95 / Max: 3.96 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Montage Astronomical Image Mosaic Engine Montage is an open-source astronomical image mosaic engine. This BSD-licensed astronomy software is developed by the California Institute of Technology, Pasadena. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Montage Astronomical Image Mosaic Engine 6.0 Mosaic of M17, K band, 1.5 deg x 1.5 deg Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5950X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD 5950X 16 32 48 64 80 SE +/- 0.05, N = 3 SE +/- 0.51, N = 3 SE +/- 0.10, N = 3 SE +/- 0.19, N = 3 SE +/- 0.37, N = 3 SE +/- 0.69, N = 3 SE +/- 0.05, N = 3 SE +/- 0.28, N = 3 70.24 68.88 57.95 57.90 57.74 57.38 57.05 56.99 1. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Montage Astronomical Image Mosaic Engine 6.0 Mosaic of M17, K band, 1.5 deg x 1.5 deg Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5950X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD 5950X 14 28 42 56 70 Min: 70.14 / Avg: 70.24 / Max: 70.33 Min: 67.88 / Avg: 68.88 / Max: 69.55 Min: 57.77 / Avg: 57.95 / Max: 58.1 Min: 57.62 / Avg: 57.9 / Max: 58.26 Min: 57.18 / Avg: 57.74 / Max: 58.44 Min: 55.99 / Avg: 57.38 / Max: 58.1 Min: 56.98 / Avg: 57.05 / Max: 57.16 Min: 56.43 / Avg: 56.99 / Max: 57.31 1. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2
Numenta Anomaly Benchmark Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: EXPoSE AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 150 300 450 600 750 SE +/- 7.53, N = 3 SE +/- 6.84, N = 3 SE +/- 1.75, N = 3 SE +/- 1.19, N = 3 SE +/- 2.92, N = 3 SE +/- 1.21, N = 3 SE +/- 1.70, N = 3 SE +/- 1.31, N = 3 710.95 703.32 701.57 678.59 632.95 604.20 586.27 578.72
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: EXPoSE AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 130 260 390 520 650 Min: 700.63 / Avg: 710.95 / Max: 725.6 Min: 689.7 / Avg: 703.32 / Max: 711.22 Min: 698.92 / Avg: 701.57 / Max: 704.87 Min: 676.53 / Avg: 678.59 / Max: 680.65 Min: 627.32 / Avg: 632.95 / Max: 637.12 Min: 602.62 / Avg: 604.2 / Max: 606.59 Min: 583.03 / Avg: 586.27 / Max: 588.78 Min: 577.1 / Avg: 578.72 / Max: 581.31
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50 Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 7 14 21 28 35 SE +/- 0.04, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.36, N = 3 SE +/- 0.42, N = 3 SE +/- 0.21, N = 3 29.26 28.52 25.16 25.03 25.02 24.05 24.03 23.88 MIN: 28.93 / MAX: 40.69 MIN: 28.15 / MAX: 30.38 MIN: 24.86 / MAX: 26.06 MIN: 24.79 / MAX: 40.13 MIN: 24.8 / MAX: 25.84 MIN: 23.56 / MAX: 25.21 MIN: 23.27 / MAX: 26.96 MIN: 23.48 / MAX: 25.44 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50 Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 6 12 18 24 30 Min: 29.19 / Avg: 29.26 / Max: 29.33 Min: 28.27 / Avg: 28.52 / Max: 28.78 Min: 25.06 / Avg: 25.16 / Max: 25.3 Min: 24.97 / Avg: 25.03 / Max: 25.09 Min: 24.93 / Avg: 25.02 / Max: 25.11 Min: 23.65 / Avg: 24.05 / Max: 24.76 Min: 23.49 / Avg: 24.03 / Max: 24.85 Min: 23.61 / Avg: 23.88 / Max: 24.28 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Ogg Encoding This test times how long it takes to encode a sample WAV file to Ogg format using vorbis-tools, libvorbis, and libogg. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Ogg Encoding 1.3.3 WAV To Ogg Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5900X AMD 5950X AMD Ryzen 9 5900X 1.13 2.26 3.39 4.52 5.65 SE +/- 0.006, N = 3 SE +/- 0.002, N = 3 SE +/- 0.009, N = 3 SE +/- 0.025, N = 3 SE +/- 0.011, N = 3 SE +/- 0.027, N = 3 SE +/- 0.033, N = 3 SE +/- 0.023, N = 3 5.022 4.974 4.202 4.192 4.170 4.137 4.122 4.110 1. (CC) gcc options: -O2 -ffast-math -fsigned-char -logg
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Ogg Encoding 1.3.3 WAV To Ogg Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5900X AMD 5950X AMD Ryzen 9 5900X 2 4 6 8 10 Min: 5.01 / Avg: 5.02 / Max: 5.03 Min: 4.97 / Avg: 4.97 / Max: 4.98 Min: 4.19 / Avg: 4.2 / Max: 4.22 Min: 4.15 / Avg: 4.19 / Max: 4.24 Min: 4.16 / Avg: 4.17 / Max: 4.19 Min: 4.1 / Avg: 4.14 / Max: 4.19 Min: 4.09 / Avg: 4.12 / Max: 4.19 Min: 4.07 / Avg: 4.11 / Max: 4.15 1. (CC) gcc options: -O2 -ffast-math -fsigned-char -logg
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Core i5 10600K Ryzen 9 5900X 500 1000 1500 2000 2500 SE +/- 4.68, N = 3 SE +/- 12.12, N = 3 SE +/- 5.90, N = 3 SE +/- 11.42, N = 3 SE +/- 3.42, N = 3 SE +/- 6.44, N = 3 SE +/- 0.92, N = 3 SE +/- 8.01, N = 3 2196.00 2193.67 2183.68 2054.30 1934.92 1934.15 1885.50 1800.16 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5900X Core i5 10600K Ryzen 9 5900X 400 800 1200 1600 2000 Min: 2188.66 / Avg: 2196 / Max: 2204.69 Min: 2179.79 / Avg: 2193.67 / Max: 2217.82 Min: 2176.21 / Avg: 2183.68 / Max: 2195.33 Min: 2040.19 / Avg: 2054.3 / Max: 2076.92 Min: 1929.09 / Avg: 1934.92 / Max: 1940.94 Min: 1922.12 / Avg: 1934.15 / Max: 1944.15 Min: 1883.68 / Avg: 1885.5 / Max: 1886.63 Min: 1785.91 / Avg: 1800.16 / Max: 1813.61 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Default Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5900X 0.3087 0.6174 0.9261 1.2348 1.5435 SE +/- 0.001, N = 3 SE +/- 0.015, N = 3 SE +/- 0.003, N = 3 SE +/- 0.008, N = 3 SE +/- 0.002, N = 3 SE +/- 0.006, N = 3 SE +/- 0.016, N = 3 SE +/- 0.010, N = 3 1.372 1.366 1.171 1.154 1.153 1.150 1.138 1.127 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Result Confidence
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Default Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5900X 2 4 6 8 10 Min: 1.37 / Avg: 1.37 / Max: 1.37 Min: 1.34 / Avg: 1.37 / Max: 1.38 Min: 1.17 / Avg: 1.17 / Max: 1.18 Min: 1.14 / Avg: 1.15 / Max: 1.16 Min: 1.15 / Avg: 1.15 / Max: 1.16 Min: 1.14 / Avg: 1.15 / Max: 1.16 Min: 1.11 / Avg: 1.14 / Max: 1.16 Min: 1.12 / Avg: 1.13 / Max: 1.15 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
GIMP GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: auto-levels Ryzen 7 3800XT Core i5 10600K Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 3 6 9 12 15 SE +/- 0.005, N = 3 SE +/- 0.013, N = 3 SE +/- 0.017, N = 3 SE +/- 0.008, N = 3 SE +/- 0.032, N = 3 SE +/- 0.035, N = 3 SE +/- 0.024, N = 3 SE +/- 0.026, N = 3 11.228 11.052 10.297 10.292 10.235 9.960 9.948 9.231
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: auto-levels Ryzen 7 3800XT Core i5 10600K Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 3 6 9 12 15 Min: 11.22 / Avg: 11.23 / Max: 11.24 Min: 11.03 / Avg: 11.05 / Max: 11.07 Min: 10.27 / Avg: 10.3 / Max: 10.33 Min: 10.28 / Avg: 10.29 / Max: 10.31 Min: 10.18 / Avg: 10.23 / Max: 10.29 Min: 9.9 / Avg: 9.96 / Max: 10.02 Min: 9.9 / Avg: 9.95 / Max: 9.98 Min: 9.18 / Avg: 9.23 / Max: 9.26
Caffe This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X 10K 20K 30K 40K 50K SE +/- 65.74, N = 3 SE +/- 17.70, N = 3 SE +/- 58.40, N = 3 SE +/- 234.60, N = 3 SE +/- 32.03, N = 3 SE +/- 28.36, N = 3 SE +/- 98.93, N = 3 SE +/- 50.99, N = 3 47532 44676 40554 40273 40233 39260 39153 39116 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Result Confidence
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X 8K 16K 24K 32K 40K Min: 47406 / Avg: 47531.67 / Max: 47628 Min: 44650 / Avg: 44676.33 / Max: 44710 Min: 40437 / Avg: 40553.67 / Max: 40617 Min: 39805 / Avg: 40273 / Max: 40536 Min: 40172 / Avg: 40233.33 / Max: 40280 Min: 39203 / Avg: 39259.67 / Max: 39290 Min: 38998 / Avg: 39153 / Max: 39337 Min: 39055 / Avg: 39115.67 / Max: 39217 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100 Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X AMD Ryzen 9 5900X AMD 5900X 0.4768 0.9536 1.4304 1.9072 2.384 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.017, N = 3 SE +/- 0.008, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.007, N = 3 SE +/- 0.009, N = 3 2.119 2.085 1.799 1.791 1.785 1.784 1.781 1.744 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Result Confidence
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100 Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X AMD Ryzen 9 5900X AMD 5900X 2 4 6 8 10 Min: 2.11 / Avg: 2.12 / Max: 2.12 Min: 2.08 / Avg: 2.08 / Max: 2.09 Min: 1.78 / Avg: 1.8 / Max: 1.83 Min: 1.78 / Avg: 1.79 / Max: 1.8 Min: 1.78 / Avg: 1.79 / Max: 1.79 Min: 1.78 / Avg: 1.78 / Max: 1.79 Min: 1.77 / Avg: 1.78 / Max: 1.8 Min: 1.74 / Avg: 1.74 / Max: 1.76 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Caffe This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X 20K 40K 60K 80K 100K SE +/- 48.14, N = 3 SE +/- 183.20, N = 3 SE +/- 70.44, N = 3 SE +/- 265.12, N = 3 SE +/- 150.88, N = 3 SE +/- 55.76, N = 3 SE +/- 188.76, N = 3 SE +/- 185.27, N = 3 95005 89574 81314 81085 80879 78539 78414 78236 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Result Confidence
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X 16K 32K 48K 64K 80K Min: 94913 / Avg: 95004.67 / Max: 95076 Min: 89376 / Avg: 89574 / Max: 89940 Min: 81192 / Avg: 81314.33 / Max: 81436 Min: 80556 / Avg: 81085 / Max: 81381 Min: 80586 / Avg: 80879 / Max: 81088 Min: 78445 / Avg: 78539.33 / Max: 78638 Min: 78043 / Avg: 78413.67 / Max: 78661 Min: 77876 / Avg: 78236 / Max: 78492 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5950X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X 8 16 24 32 40 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.19, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.15, N = 3 33.13 31.30 27.75 27.64 27.54 27.48 27.46 27.29 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Result Confidence
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression Core i5 10600K Ryzen 7 3800XT Ryzen 9 5900X AMD 5950X AMD 5900X AMD Ryzen 9 5900X AMD Ryzen 9 5950X Ryzen 9 5950X 7 14 21 28 35 Min: 32.98 / Avg: 33.13 / Max: 33.25 Min: 31.23 / Avg: 31.3 / Max: 31.38 Min: 27.73 / Avg: 27.75 / Max: 27.76 Min: 27.43 / Avg: 27.64 / Max: 28.02 Min: 27.45 / Avg: 27.54 / Max: 27.7 Min: 27.35 / Avg: 27.48 / Max: 27.7 Min: 27.36 / Avg: 27.46 / Max: 27.51 Min: 27.01 / Avg: 27.29 / Max: 27.52 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
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.
Result
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: resnet-v2-50 Core i5 10600K Ryzen 7 3800XT Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.11, N = 3 SE +/- 0.23, N = 15 SE +/- 0.52, N = 3 SE +/- 0.08, N = 3 SE +/- 0.29, N = 5 SE +/- 0.12, N = 15 SE +/- 0.15, N = 15 32.53 29.34 29.12 28.59 28.16 27.20 26.90 26.84 MIN: 32.29 / MAX: 45.21 MIN: 28.24 / MAX: 39.97 MIN: 27.81 / MAX: 44.22 MIN: 27.75 / MAX: 41.65 MIN: 27.76 / MAX: 40.16 MIN: 26.08 / MAX: 39.49 MIN: 25.81 / MAX: 39.7 MIN: 25.65 / MAX: 39.18 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
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: resnet-v2-50 Core i5 10600K Ryzen 7 3800XT Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5900X AMD 5900X AMD Ryzen 9 5900X 7 14 21 28 35 Min: 32.49 / Avg: 32.53 / Max: 32.57 Min: 29.12 / Avg: 29.34 / Max: 29.49 Min: 28.09 / Avg: 29.11 / Max: 31.07 Min: 28.06 / Avg: 28.59 / Max: 29.63 Min: 28.07 / Avg: 28.16 / Max: 28.32 Min: 26.35 / Avg: 27.2 / Max: 27.76 Min: 26.07 / Avg: 26.9 / Max: 27.74 Min: 25.89 / Avg: 26.84 / Max: 27.85 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 NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 Ryzen 7 3800XT AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X Core i5 10600K 0.9068 1.8136 2.7204 3.6272 4.534 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 4.03 3.87 3.87 3.85 3.81 3.80 3.78 3.33 MIN: 3.95 / MAX: 4.88 MIN: 3.81 / MAX: 5 MIN: 3.79 / MAX: 4.55 MIN: 3.79 / MAX: 3.88 MIN: 3.73 / MAX: 4.34 MIN: 3.71 / MAX: 4.44 MIN: 3.68 / MAX: 12.77 MIN: 3.21 / MAX: 3.42 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 Ryzen 7 3800XT AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X Core i5 10600K 2 4 6 8 10 Min: 4.01 / Avg: 4.03 / Max: 4.05 Min: 3.87 / Avg: 3.87 / Max: 3.88 Min: 3.87 / Avg: 3.87 / Max: 3.88 Min: 3.84 / Avg: 3.85 / Max: 3.86 Min: 3.8 / Avg: 3.81 / Max: 3.83 Min: 3.78 / Avg: 3.8 / Max: 3.81 Min: 3.76 / Avg: 3.78 / Max: 3.8 Min: 3.26 / Avg: 3.33 / Max: 3.38 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Caffe This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 1000 Ryzen 7 3800XT Core i5 10600K Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 100K 200K 300K 400K 500K SE +/- 1477.58, N = 3 SE +/- 1023.79, N = 3 SE +/- 860.62, N = 3 SE +/- 422.79, N = 3 SE +/- 760.51, N = 3 SE +/- 610.11, N = 3 SE +/- 1337.88, N = 3 SE +/- 1920.61, N = 3 473153 447483 406772 405680 405202 393083 392384 391710 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Result Confidence
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 1000 Ryzen 7 3800XT Core i5 10600K Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 80K 160K 240K 320K 400K Min: 470641 / Avg: 473153 / Max: 475757 Min: 446352 / Avg: 447483.33 / Max: 449527 Min: 405202 / Avg: 406772 / Max: 408168 Min: 404840 / Avg: 405680 / Max: 406184 Min: 403682 / Avg: 405202.33 / Max: 406002 Min: 391957 / Avg: 393083.33 / Max: 394053 Min: 390033 / Avg: 392384 / Max: 394666 Min: 389346 / Avg: 391710 / Max: 395514 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X Ryzen 9 5900X AMD 5900X Core i5 10600K 0.3803 0.7606 1.1409 1.5212 1.9015 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 1.69 1.56 1.55 1.55 1.54 1.49 1.48 1.40 MIN: 1.64 / MAX: 1.75 MIN: 1.46 / MAX: 37.8 MIN: 1.52 / MAX: 1.72 MIN: 1.53 / MAX: 2.17 MIN: 1.52 / MAX: 1.58 MIN: 1.46 / MAX: 1.68 MIN: 1.46 / MAX: 1.64 MIN: 1.36 / MAX: 1.56 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface Ryzen 7 3800XT AMD Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X Ryzen 9 5900X AMD 5900X Core i5 10600K 2 4 6 8 10 Min: 1.68 / Avg: 1.69 / Max: 1.7 Min: 1.49 / Avg: 1.56 / Max: 1.68 Min: 1.53 / Avg: 1.55 / Max: 1.57 Min: 1.54 / Avg: 1.55 / Max: 1.55 Min: 1.54 / Avg: 1.54 / Max: 1.55 Min: 1.48 / Avg: 1.49 / Max: 1.5 Min: 1.47 / Avg: 1.48 / Max: 1.49 Min: 1.38 / Avg: 1.4 / Max: 1.42 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Core i5 10600K Ryzen 9 5900X 500 1000 1500 2000 2500 SE +/- 5.16, N = 3 SE +/- 4.79, N = 3 SE +/- 5.41, N = 3 SE +/- 5.00, N = 3 SE +/- 2.70, N = 3 SE +/- 7.12, N = 3 SE +/- 2.30, N = 3 SE +/- 6.64, N = 3 2198.03 2190.31 2185.20 2049.69 1939.85 1929.13 1885.67 1827.01 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Core i5 10600K Ryzen 9 5900X 400 800 1200 1600 2000 Min: 2191.38 / Avg: 2198.03 / Max: 2208.18 Min: 2185.39 / Avg: 2190.31 / Max: 2199.88 Min: 2179.6 / Avg: 2185.2 / Max: 2196.02 Min: 2041.4 / Avg: 2049.69 / Max: 2058.68 Min: 1935.97 / Avg: 1939.85 / Max: 1945.04 Min: 1915.57 / Avg: 1929.13 / Max: 1939.68 Min: 1881.74 / Avg: 1885.67 / Max: 1889.7 Min: 1815.52 / Avg: 1827.01 / Max: 1838.51 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
FLAC Audio Encoding This test times how long it takes to encode a sample WAV file to FLAC format five times. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better FLAC Audio Encoding 1.3.2 WAV To FLAC Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X Ryzen 9 5900X AMD 5900X 2 4 6 8 10 SE +/- 0.006, N = 5 SE +/- 0.035, N = 5 SE +/- 0.033, N = 5 SE +/- 0.041, N = 5 SE +/- 0.019, N = 5 SE +/- 0.024, N = 5 SE +/- 0.028, N = 5 SE +/- 0.029, N = 5 7.588 7.350 6.425 6.395 6.391 6.373 6.351 6.350 1. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better FLAC Audio Encoding 1.3.2 WAV To FLAC Core i5 10600K Ryzen 7 3800XT AMD Ryzen 9 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X Ryzen 9 5900X AMD 5900X 3 6 9 12 15 Min: 7.57 / Avg: 7.59 / Max: 7.6 Min: 7.27 / Avg: 7.35 / Max: 7.46 Min: 6.33 / Avg: 6.43 / Max: 6.53 Min: 6.24 / Avg: 6.39 / Max: 6.47 Min: 6.32 / Avg: 6.39 / Max: 6.42 Min: 6.29 / Avg: 6.37 / Max: 6.43 Min: 6.27 / Avg: 6.35 / Max: 6.42 Min: 6.27 / Avg: 6.35 / Max: 6.43 1. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm
Darktable Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.0.1 Test: Masskrug - Acceleration: CPU-only AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X Core i5 10600K Ryzen 7 3800XT 2 4 6 8 10 SE +/- 0.005, N = 3 SE +/- 0.007, N = 3 SE +/- 0.007, N = 3 SE +/- 0.012, N = 3 SE +/- 0.008, N = 3 SE +/- 0.007, N = 3 SE +/- 0.007, N = 3 SE +/- 0.006, N = 3 6.144 6.125 6.120 6.100 6.087 6.079 6.032 5.144
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.0.1 Test: Masskrug - Acceleration: CPU-only AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5900X Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X Core i5 10600K Ryzen 7 3800XT 2 4 6 8 10 Min: 6.14 / Avg: 6.14 / Max: 6.15 Min: 6.11 / Avg: 6.13 / Max: 6.13 Min: 6.11 / Avg: 6.12 / Max: 6.13 Min: 6.08 / Avg: 6.1 / Max: 6.12 Min: 6.07 / Avg: 6.09 / Max: 6.1 Min: 6.07 / Avg: 6.08 / Max: 6.09 Min: 6.03 / Avg: 6.03 / Max: 6.05 Min: 5.13 / Avg: 5.14 / Max: 5.16
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Rotate 90 Degrees Ryzen 7 3800XT Core i5 10600K AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 8 16 24 32 40 SE +/- 0.13, N = 3 SE +/- 0.00, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 36.27 35.09 31.00 30.96 30.87 30.87 30.77 30.53
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Rotate 90 Degrees Ryzen 7 3800XT Core i5 10600K AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 8 16 24 32 40 Min: 36.09 / Avg: 36.27 / Max: 36.53 Min: 35.08 / Avg: 35.09 / Max: 35.1 Min: 30.78 / Avg: 31 / Max: 31.19 Min: 30.82 / Avg: 30.96 / Max: 31.05 Min: 30.79 / Avg: 30.87 / Max: 30.94 Min: 30.66 / Avg: 30.87 / Max: 30.99 Min: 30.73 / Avg: 30.77 / Max: 30.8 Min: 30.44 / Avg: 30.53 / Max: 30.68
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Color Enhance Ryzen 7 3800XT Core i5 10600K AMD 5900X AMD Ryzen 9 5950X AMD Ryzen 9 5900X Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 12 24 36 48 60 SE +/- 0.21, N = 3 SE +/- 0.00, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 SE +/- 0.21, N = 3 52.66 52.36 45.34 45.26 45.22 45.04 45.03 44.59
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Color Enhance Ryzen 7 3800XT Core i5 10600K AMD 5900X AMD Ryzen 9 5950X AMD Ryzen 9 5900X Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 11 22 33 44 55 Min: 52.28 / Avg: 52.66 / Max: 52.99 Min: 52.36 / Avg: 52.36 / Max: 52.37 Min: 45.18 / Avg: 45.34 / Max: 45.42 Min: 45.11 / Avg: 45.26 / Max: 45.42 Min: 45.08 / Avg: 45.22 / Max: 45.5 Min: 44.94 / Avg: 45.04 / Max: 45.17 Min: 44.89 / Avg: 45.03 / Max: 45.26 Min: 44.28 / Avg: 44.59 / Max: 44.99
GIMP GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: unsharp-mask Ryzen 7 3800XT AMD Ryzen 9 5950X Core i5 10600K Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 4 8 12 16 20 SE +/- 0.18, N = 4 SE +/- 0.18, N = 4 SE +/- 0.17, N = 5 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 13.76 12.97 12.87 12.81 12.80 12.35 12.33 11.68
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: unsharp-mask Ryzen 7 3800XT AMD Ryzen 9 5950X Core i5 10600K Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 4 8 12 16 20 Min: 13.55 / Avg: 13.76 / Max: 14.3 Min: 12.78 / Avg: 12.97 / Max: 13.5 Min: 12.69 / Avg: 12.87 / Max: 13.55 Min: 12.77 / Avg: 12.81 / Max: 12.84 Min: 12.75 / Avg: 12.8 / Max: 12.85 Min: 12.31 / Avg: 12.35 / Max: 12.37 Min: 12.32 / Avg: 12.33 / Max: 12.34 Min: 11.66 / Avg: 11.68 / Max: 11.7
Caffe This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Ryzen 7 3800XT Core i5 10600K Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 30K 60K 90K 120K 150K SE +/- 670.29, N = 3 SE +/- 34.28, N = 3 SE +/- 88.66, N = 3 SE +/- 271.03, N = 3 SE +/- 128.54, N = 3 SE +/- 112.72, N = 3 SE +/- 106.28, N = 3 SE +/- 10.90, N = 3 116819 115770 107549 107370 106969 100082 100033 99651 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Result Confidence
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Ryzen 7 3800XT Core i5 10600K Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 20K 40K 60K 80K 100K Min: 115484 / Avg: 116818.67 / Max: 117595 Min: 115702 / Avg: 115769.67 / Max: 115813 Min: 107393 / Avg: 107549 / Max: 107700 Min: 107018 / Avg: 107370 / Max: 107903 Min: 106712 / Avg: 106969 / Max: 107103 Min: 99861 / Avg: 100081.67 / Max: 100232 Min: 99827 / Avg: 100032.67 / Max: 100182 Min: 99635 / Avg: 99651.33 / Max: 99672 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Crop Ryzen 7 3800XT Core i5 10600K AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 2 4 6 8 10 SE +/- 0.020, N = 3 SE +/- 0.080, N = 3 SE +/- 0.053, N = 3 SE +/- 0.028, N = 3 SE +/- 0.056, N = 3 SE +/- 0.042, N = 3 SE +/- 0.039, N = 3 SE +/- 0.030, N = 3 7.720 7.656 6.852 6.840 6.801 6.762 6.720 6.606
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Crop Ryzen 7 3800XT Core i5 10600K AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 3 6 9 12 15 Min: 7.7 / Avg: 7.72 / Max: 7.76 Min: 7.57 / Avg: 7.66 / Max: 7.82 Min: 6.75 / Avg: 6.85 / Max: 6.91 Min: 6.81 / Avg: 6.84 / Max: 6.9 Min: 6.73 / Avg: 6.8 / Max: 6.91 Min: 6.68 / Avg: 6.76 / Max: 6.82 Min: 6.67 / Avg: 6.72 / Max: 6.8 Min: 6.56 / Avg: 6.61 / Max: 6.66
Caffe This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 1000 Ryzen 7 3800XT Core i5 10600K Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 200K 400K 600K 800K 1000K SE +/- 3805.70, N = 3 SE +/- 1308.59, N = 3 SE +/- 1251.86, N = 3 SE +/- 1437.61, N = 3 SE +/- 1078.93, N = 3 SE +/- 3241.09, N = 3 SE +/- 1247.15, N = 3 SE +/- 2048.63, N = 3 1160277 1159303 1070777 1069187 1067020 1001758 1000468 993857 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Result Confidence
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 1000 Ryzen 7 3800XT Core i5 10600K Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 200K 400K 600K 800K 1000K Min: 1154630 / Avg: 1160276.67 / Max: 1167520 Min: 1156990 / Avg: 1159303.33 / Max: 1161520 Min: 1068760 / Avg: 1070776.67 / Max: 1073070 Min: 1067660 / Avg: 1069186.67 / Max: 1072060 Min: 1065710 / Avg: 1067020 / Max: 1069160 Min: 995644 / Avg: 1001758 / Max: 1006680 Min: 997994 / Avg: 1000468 / Max: 1001980 Min: 990755 / Avg: 993856.67 / Max: 997726 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet Ryzen 7 3800XT AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X AMD 5900X Ryzen 9 5900X Core i5 10600K AMD Ryzen 9 5900X 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 15.96 14.10 14.01 14.00 13.81 13.74 13.72 13.72 MIN: 15.86 / MAX: 21.86 MIN: 13.8 / MAX: 14.63 MIN: 13.82 / MAX: 16.1 MIN: 13.82 / MAX: 14.72 MIN: 13.56 / MAX: 15.91 MIN: 13.42 / MAX: 14.68 MIN: 13.64 / MAX: 14.2 MIN: 13.41 / MAX: 14.76 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet Ryzen 7 3800XT AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X AMD 5900X Ryzen 9 5900X Core i5 10600K AMD Ryzen 9 5900X 4 8 12 16 20 Min: 15.92 / Avg: 15.96 / Max: 15.99 Min: 14 / Avg: 14.1 / Max: 14.3 Min: 14.01 / Avg: 14.01 / Max: 14.02 Min: 14 / Avg: 14 / Max: 14.01 Min: 13.74 / Avg: 13.81 / Max: 13.86 Min: 13.61 / Avg: 13.74 / Max: 13.83 Min: 13.69 / Avg: 13.72 / Max: 13.75 Min: 13.58 / Avg: 13.72 / Max: 13.81 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Caffe This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 50K 100K 150K 200K 250K SE +/- 626.51, N = 3 SE +/- 202.35, N = 3 SE +/- 268.78, N = 3 SE +/- 188.80, N = 3 SE +/- 558.42, N = 3 SE +/- 111.88, N = 3 SE +/- 225.53, N = 3 SE +/- 248.87, N = 3 232037 231419 214806 213648 213481 200330 200264 199485 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Result Confidence
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 40K 80K 120K 160K 200K Min: 230808 / Avg: 232037 / Max: 232863 Min: 231092 / Avg: 231419 / Max: 231789 Min: 214422 / Avg: 214806.33 / Max: 215324 Min: 213275 / Avg: 213648.33 / Max: 213884 Min: 212384 / Avg: 213480.67 / Max: 214212 Min: 200213 / Avg: 200330.33 / Max: 200554 Min: 199846 / Avg: 200263.67 / Max: 200620 Min: 199121 / Avg: 199485 / Max: 199961 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Cartoon Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5900X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 20 40 60 80 100 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.23, N = 3 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 83.41 82.26 72.19 72.18 72.13 71.99 71.92 71.77
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Cartoon Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5900X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 16 32 48 64 80 Min: 83.29 / Avg: 83.41 / Max: 83.48 Min: 82.12 / Avg: 82.26 / Max: 82.38 Min: 71.8 / Avg: 72.19 / Max: 72.61 Min: 71.96 / Avg: 72.18 / Max: 72.38 Min: 71.98 / Avg: 72.13 / Max: 72.29 Min: 71.85 / Avg: 71.99 / Max: 72.16 Min: 71.9 / Avg: 71.92 / Max: 71.96 Min: 71.62 / Avg: 71.77 / Max: 71.97
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Tile Glass Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X 6 12 18 24 30 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 27.57 25.85 24.14 24.08 24.06 23.84 23.82 23.73
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Tile Glass Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5950X AMD 5950X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X 6 12 18 24 30 Min: 27.5 / Avg: 27.57 / Max: 27.65 Min: 25.83 / Avg: 25.85 / Max: 25.87 Min: 24.11 / Avg: 24.14 / Max: 24.16 Min: 24.04 / Avg: 24.08 / Max: 24.11 Min: 24.02 / Avg: 24.06 / Max: 24.13 Min: 23.76 / Avg: 23.84 / Max: 24 Min: 23.79 / Avg: 23.82 / Max: 23.86 Min: 23.58 / Avg: 23.73 / Max: 23.84
OpenVKL OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmarkUnstructuredVolume Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X Core i5 10600K AMD 5900X 500K 1000K 1500K 2000K 2500K SE +/- 3394.49, N = 3 SE +/- 6822.71, N = 3 SE +/- 3222.23, N = 3 SE +/- 2799.14, N = 3 SE +/- 9858.49, N = 3 SE +/- 10043.43, N = 3 SE +/- 4715.86, N = 3 SE +/- 10546.32, N = 3 2073273.63 2344540.44 2371142.67 2372336.23 2376873.95 2379297.60 2386272.72 2408487.76 MIN: 30100 / MAX: 6765249 MIN: 31598 / MAX: 8467001 MIN: 32105 / MAX: 8803258 MIN: 31743 / MAX: 8531849 MIN: 31545 / MAX: 8539873 MIN: 31596 / MAX: 8708131 MIN: 34773 / MAX: 8456945 MIN: 31594 / MAX: 8725219
Result Confidence
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmarkUnstructuredVolume Ryzen 7 3800XT AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5950X Ryzen 9 5950X AMD Ryzen 9 5950X Core i5 10600K AMD 5900X 400K 800K 1200K 1600K 2000K Min: 2067355.14 / Avg: 2073273.63 / Max: 2079113.2 Min: 2334720.81 / Avg: 2344540.44 / Max: 2357655.7 Min: 2365124.78 / Avg: 2371142.67 / Max: 2376148.39 Min: 2368791.75 / Avg: 2372336.23 / Max: 2377861.21 Min: 2358274.33 / Avg: 2376873.95 / Max: 2391840.32 Min: 2359212.79 / Avg: 2379297.6 / Max: 2389588.45 Min: 2381171.06 / Avg: 2386272.72 / Max: 2395693.61 Min: 2396272.21 / Avg: 2408487.76 / Max: 2429487.15
Mlpack Benchmark Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_qda Core i5 10600K Ryzen 7 3800XT AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X 15 30 45 60 75 SE +/- 0.07, N = 3 SE +/- 0.18, N = 3 SE +/- 0.57, N = 3 SE +/- 0.15, N = 3 SE +/- 0.29, N = 3 SE +/- 0.72, N = 6 SE +/- 0.24, N = 3 SE +/- 0.13, N = 3 68.90 65.87 62.14 62.13 62.06 60.48 60.34 59.36
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_qda Core i5 10600K Ryzen 7 3800XT AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X 13 26 39 52 65 Min: 68.77 / Avg: 68.9 / Max: 68.99 Min: 65.51 / Avg: 65.87 / Max: 66.08 Min: 61.19 / Avg: 62.14 / Max: 63.17 Min: 61.98 / Avg: 62.13 / Max: 62.42 Min: 61.58 / Avg: 62.06 / Max: 62.58 Min: 59.16 / Avg: 60.48 / Max: 64 Min: 59.92 / Avg: 60.34 / Max: 60.76 Min: 59.22 / Avg: 59.36 / Max: 59.61
DeepSpeech Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better DeepSpeech 0.6 Acceleration: CPU Core i5 10600K Ryzen 7 3800XT Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 14 28 42 56 70 SE +/- 0.14, N = 3 SE +/- 0.24, N = 3 SE +/- 0.21, N = 3 SE +/- 0.36, N = 3 SE +/- 0.09, N = 3 SE +/- 0.49, N = 3 SE +/- 0.34, N = 3 SE +/- 0.34, N = 3 64.38 61.28 59.82 59.52 59.48 58.70 58.42 55.57
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better DeepSpeech 0.6 Acceleration: CPU Core i5 10600K Ryzen 7 3800XT Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X 13 26 39 52 65 Min: 64.22 / Avg: 64.38 / Max: 64.66 Min: 60.93 / Avg: 61.28 / Max: 61.74 Min: 59.57 / Avg: 59.82 / Max: 60.23 Min: 58.98 / Avg: 59.52 / Max: 60.21 Min: 59.34 / Avg: 59.48 / Max: 59.65 Min: 58.03 / Avg: 58.7 / Max: 59.67 Min: 58.08 / Avg: 58.42 / Max: 59.09 Min: 54.88 / Avg: 55.57 / Max: 55.92
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.
Result
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 7 3800XT Ryzen 9 5900X Core i5 10600K 2 4 6 8 10 SE +/- 0.099, N = 15 SE +/- 0.080, N = 3 SE +/- 0.105, N = 3 SE +/- 0.115, N = 15 SE +/- 0.084, N = 15 SE +/- 0.021, N = 3 SE +/- 0.072, N = 5 SE +/- 0.017, N = 3 6.544 6.397 6.238 6.123 6.101 5.988 5.874 5.658 MIN: 5.72 / MAX: 18.48 MIN: 6.17 / MAX: 16.52 MIN: 6.03 / MAX: 17.96 MIN: 5.02 / MAX: 17.67 MIN: 5.24 / MAX: 13.34 MIN: 5.88 / MAX: 7.05 MIN: 5.52 / MAX: 10.5 MIN: 5.53 / MAX: 7.79 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
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 7 3800XT Ryzen 9 5900X Core i5 10600K 3 6 9 12 15 Min: 5.9 / Avg: 6.54 / Max: 7.28 Min: 6.25 / Avg: 6.4 / Max: 6.52 Min: 6.11 / Avg: 6.24 / Max: 6.45 Min: 5.11 / Avg: 6.12 / Max: 6.61 Min: 5.31 / Avg: 6.1 / Max: 6.62 Min: 5.96 / Avg: 5.99 / Max: 6.03 Min: 5.67 / Avg: 5.87 / Max: 6.08 Min: 5.63 / Avg: 5.66 / Max: 5.68 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
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Reflect Ryzen 7 3800XT Core i5 10600K AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD Ryzen 9 5900X AMD 5950X Ryzen 9 5900X 7 14 21 28 35 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 28.26 26.98 24.84 24.68 24.66 24.64 24.57 24.44
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Reflect Ryzen 7 3800XT Core i5 10600K AMD 5900X Ryzen 9 5950X AMD Ryzen 9 5950X AMD Ryzen 9 5900X AMD 5950X Ryzen 9 5900X 6 12 18 24 30 Min: 28.22 / Avg: 28.26 / Max: 28.31 Min: 26.97 / Avg: 26.97 / Max: 26.98 Min: 24.77 / Avg: 24.84 / Max: 24.88 Min: 24.65 / Avg: 24.68 / Max: 24.71 Min: 24.6 / Avg: 24.66 / Max: 24.71 Min: 24.61 / Avg: 24.64 / Max: 24.66 Min: 24.54 / Avg: 24.57 / Max: 24.63 Min: 24.31 / Avg: 24.44 / Max: 24.69
G'MIC G'MIC is an open-source framework for image processing. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better G'MIC Test: Plotting Isosurface Of A 3D Volume, 1000 Times Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5900X 4 8 12 16 20 SE +/- 0.13, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.21, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.16, N = 3 17.75 17.18 16.03 15.90 15.85 15.80 15.73 15.47 1. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better G'MIC Test: Plotting Isosurface Of A 3D Volume, 1000 Times Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5900X Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5900X 4 8 12 16 20 Min: 17.62 / Avg: 17.75 / Max: 18.02 Min: 17.16 / Avg: 17.17 / Max: 17.19 Min: 15.97 / Avg: 16.03 / Max: 16.1 Min: 15.87 / Avg: 15.9 / Max: 15.94 Min: 15.43 / Avg: 15.85 / Max: 16.16 Min: 15.64 / Avg: 15.8 / Max: 16.11 Min: 15.62 / Avg: 15.73 / Max: 15.82 Min: 15.29 / Avg: 15.47 / Max: 15.8 1. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Antialias Ryzen 7 3800XT Core i5 10600K Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X 8 16 24 32 40 SE +/- 0.15, N = 3 SE +/- 0.01, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.11, N = 3 34.79 34.03 30.76 30.69 30.68 30.64 30.62 30.34
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Antialias Ryzen 7 3800XT Core i5 10600K Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X 7 14 21 28 35 Min: 34.5 / Avg: 34.79 / Max: 34.93 Min: 34.01 / Avg: 34.03 / Max: 34.05 Min: 30.54 / Avg: 30.76 / Max: 30.88 Min: 30.64 / Avg: 30.69 / Max: 30.72 Min: 30.62 / Avg: 30.68 / Max: 30.78 Min: 30.53 / Avg: 30.64 / Max: 30.82 Min: 30.47 / Avg: 30.62 / Max: 30.82 Min: 30.12 / Avg: 30.34 / Max: 30.48
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 Ryzen 7 3800XT AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X Core i5 10600K 15 30 45 60 75 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.02, N = 3 SE +/- 0.76, N = 3 SE +/- 0.06, N = 3 SE +/- 0.44, N = 3 SE +/- 0.00, N = 3 68.33 65.66 65.37 65.33 61.82 61.10 60.94 59.74 MIN: 67.88 / MAX: 117.12 MIN: 64.68 / MAX: 67.82 MIN: 64.01 / MAX: 74.99 MIN: 64.32 / MAX: 67.23 MIN: 58.81 / MAX: 582 MIN: 60.06 / MAX: 62.16 MIN: 59.59 / MAX: 62.87 MIN: 59.6 / MAX: 63.37 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 Ryzen 7 3800XT AMD Ryzen 9 5950X Ryzen 9 5950X AMD 5950X Ryzen 9 5900X AMD Ryzen 9 5900X AMD 5900X Core i5 10600K 13 26 39 52 65 Min: 68.19 / Avg: 68.33 / Max: 68.54 Min: 65.55 / Avg: 65.66 / Max: 65.72 Min: 65.14 / Avg: 65.37 / Max: 65.51 Min: 65.29 / Avg: 65.33 / Max: 65.37 Min: 61.01 / Avg: 61.82 / Max: 63.34 Min: 61.02 / Avg: 61.1 / Max: 61.22 Min: 60.06 / Avg: 60.94 / Max: 61.47 Min: 59.73 / Avg: 59.74 / Max: 59.74 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Tesseract OCR Tesseract-OCR is the open-source optical character recognition (OCR) engine for the conversion of text within images to raw text output. This test profile relies upon a system-supplied Tesseract installation. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Tesseract OCR 4.1.1 Time To OCR 7 Images Ryzen 7 3800XT Core i5 10600K AMD 5900X AMD Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X Ryzen 9 5950X Ryzen 9 5900X 5 10 15 20 25 SE +/- 0.17, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.14, N = 3 SE +/- 0.21, N = 3 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 21.70 20.38 19.48 19.37 19.36 19.33 19.25 19.14
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Tesseract OCR 4.1.1 Time To OCR 7 Images Ryzen 7 3800XT Core i5 10600K AMD 5900X AMD Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X Ryzen 9 5950X Ryzen 9 5900X 5 10 15 20 25 Min: 21.36 / Avg: 21.7 / Max: 21.93 Min: 20.33 / Avg: 20.38 / Max: 20.43 Min: 19.31 / Avg: 19.48 / Max: 19.59 Min: 19.27 / Avg: 19.37 / Max: 19.43 Min: 19.08 / Avg: 19.36 / Max: 19.52 Min: 19.01 / Avg: 19.33 / Max: 19.74 Min: 19.04 / Avg: 19.25 / Max: 19.49 Min: 19 / Avg: 19.14 / Max: 19.24
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Wavelet Blur Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 13 26 39 52 65 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.24, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 56.80 54.47 50.85 50.75 50.65 50.60 50.51 50.20
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Wavelet Blur Ryzen 7 3800XT Core i5 10600K AMD Ryzen 9 5950X AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5950X AMD 5950X Ryzen 9 5900X 11 22 33 44 55 Min: 56.62 / Avg: 56.8 / Max: 56.93 Min: 54.35 / Avg: 54.47 / Max: 54.57 Min: 50.79 / Avg: 50.85 / Max: 50.91 Min: 50.59 / Avg: 50.75 / Max: 50.88 Min: 50.28 / Avg: 50.65 / Max: 51.11 Min: 50.57 / Avg: 50.6 / Max: 50.65 Min: 50.49 / Avg: 50.51 / Max: 50.55 Min: 50.03 / Avg: 50.2 / Max: 50.34
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.
Result
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: mobilenet-v1-1.0 Core i5 10600K AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X Ryzen 7 3800XT Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 1.2715 2.543 3.8145 5.086 6.3575 SE +/- 0.003, N = 3 SE +/- 0.006, N = 15 SE +/- 0.007, N = 15 SE +/- 0.013, N = 5 SE +/- 0.022, N = 3 SE +/- 0.010, N = 15 SE +/- 0.032, N = 3 SE +/- 0.019, N = 3 5.651 5.637 5.632 5.591 5.357 5.058 5.051 5.049 MIN: 5.62 / MAX: 8.23 MIN: 5.54 / MAX: 10.33 MIN: 5.54 / MAX: 18.15 MIN: 5.51 / MAX: 7.82 MIN: 5.28 / MAX: 7.63 MIN: 4.94 / MAX: 18.32 MIN: 4.96 / MAX: 5.68 MIN: 4.99 / MAX: 17.3 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
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: mobilenet-v1-1.0 Core i5 10600K AMD Ryzen 9 5900X AMD 5900X Ryzen 9 5900X Ryzen 7 3800XT Ryzen 9 5950X AMD Ryzen 9 5950X AMD 5950X 2 4 6 8 10 Min: 5.65 / Avg: 5.65 / Max: 5.66 Min: 5.57 / Avg: 5.64 / Max: 5.67 Min: 5.57 / Avg: 5.63 / Max: 5.68 Min: 5.55 / Avg: 5.59 / Max: 5.62 Min: 5.33 / Avg: 5.36 / Max: 5.4 Min: 5 / Avg: 5.06 / Max: 5.12 Min: 5.01 / Avg: 5.05 / Max: 5.12 Min: 5.02 / Avg: 5.05 / Max: 5.08 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
dcraw This test times how long it takes to convert several high-resolution RAW NEF image files to PPM image format using dcraw. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better dcraw RAW To PPM Image Conversion Ryzen 7 3800XT AMD Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X Ryzen 9 5950X Ryzen 9 5900X AMD 5900X Core i5 10600K 8 16 24 32 40 SE +/- 0.18, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.22, N = 3 SE +/- 0.17, N = 3 SE +/- 0.38, N = 3 SE +/- 0.28, N = 3 SE +/- 0.01, N = 3 36.79 35.02 34.92 34.89 34.55 34.48 34.36 34.03 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better dcraw RAW To PPM Image Conversion Ryzen 7 3800XT AMD Ryzen 9 5950X AMD 5950X AMD Ryzen 9 5900X Ryzen 9 5950X Ryzen 9 5900X AMD 5900X Core i5 10600K 8 16 24 32 40 Min: 36.53 / Avg: 36.79 / Max: 37.13 Min: 34.94 / Avg: 35.02 / Max: 35.13 Min: 34.85 / Avg: 34.92 / Max: 35.02 Min: 34.49 / Avg: 34.89 / Max: 35.24 Min: 34.25 / Avg: 34.55 / Max: 34.82 Min: 33.89 / Avg: 34.48 / Max: 35.18 Min: 34.05 / Avg: 34.36 / Max: 34.91 Min: 34.02 / Avg: 34.03 / Max: 34.04 1. (CC) gcc options: -lm
AOBench AOBench is a lightweight ambient occlusion renderer, written in C. The test profile is using a size of 2048 x 2048. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better AOBench Size: 2048 x 2048 - Total Time Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X AMD Ryzen 9 5900X AMD 5900X 7 14 21 28 35 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.23, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.31, N = 3 SE +/- 0.10, N = 3 30.14 28.89 28.80 28.78 28.67 28.34 28.21 28.01 1. (CC) gcc options: -lm -O3
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better AOBench Size: 2048 x 2048 - Total Time Ryzen 7 3800XT Core i5 10600K Ryzen 9 5900X AMD 5950X AMD Ryzen 9 5950X Ryzen 9 5950X AMD Ryzen 9 5900X AMD 5900X 7 14 21 28 35 Min: 30.07 / Avg: 30.14 / Max: 30.19 Min: 28.87 / Avg: 28.89 / Max: 28.89 Min: 28.68 / Avg: 28.8 / Max: 28.94 Min: 28.47 / Avg: 28.78 / Max: 29.24 Min: 28.55 / Avg: 28.67 / Max: 28.74 Min: 28.11 / Avg: 28.34 / Max: 28.47 Min: 27.61 / Avg: 28.21 / Max: 28.64 Min: 27.9 / Avg: 28.01 / Max: 28.21 1. (CC) gcc options: -lm -O3
Darktable Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.0.1 Test: Server Rack - Acceleration: CPU-only Ryzen 9 5950X AMD 5950X Core i5 10600K AMD Ryzen 9 5950X Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X 0.0403 0.0806 0.1209 0.1612 0.2015 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 13 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.179 0.178 0.177 0.177 0.175 0.173 0.171 0.169
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.0.1 Test: Server Rack - Acceleration: CPU-only Ryzen 9 5950X AMD 5950X Core i5 10600K AMD Ryzen 9 5950X Ryzen 7 3800XT AMD 5900X AMD Ryzen 9 5900X Ryzen 9 5900X 1 2 3 4 5 Min: 0.18 / Avg: 0.18 / Max: 0.18 Min: 0.18 / Avg: 0.18 / Max: 0.18 Min: 0.17 / Avg: 0.18 / Max: 0.18 Min: 0.18 / Avg: 0.18 / Max: 0.18 Min: 0.17 / Avg: 0.18 / Max: 0.18 Min: 0.17 / Avg: 0.17 / Max: 0.19 Min: 0.17 / Avg: 0.17 / Max: 0.17 Min: 0.17 / Avg: 0.17 / Max: 0.17
FFTE FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MFLOPS, More Is Better FFTE 7.0 Test: N=256, 1D Complex FFT Routine Ryzen 9 5900X 8K 16K 24K 32K 40K SE +/- 503.26, N = 3 35355.09 1. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenCV This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.4 Test: DNN - Deep Neural Network Ryzen 7 3800XT AMD 5950X AMD 5900X AMD Ryzen 9 5950X AMD Ryzen 9 5900X Ryzen 9 5950X Ryzen 9 5900X Core i5 10600K 1100 2200 3300 4400 5500 SE +/- 223.14, N = 12 SE +/- 128.36, N = 15 SE +/- 147.73, N = 15 SE +/- 147.57, N = 14 SE +/- 174.53, N = 12 SE +/- 78.86, N = 3 SE +/- 97.38, N = 15 SE +/- 10.84, N = 3 4980 4938 4872 4758 4695 4660 3078 2461 1. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.4 Test: DNN - Deep Neural Network Ryzen 7 3800XT AMD 5950X AMD 5900X AMD Ryzen 9 5950X AMD Ryzen 9 5900X Ryzen 9 5950X Ryzen 9 5900X Core i5 10600K 900 1800 2700 3600 4500 Min: 4140 / Avg: 4980.17 / Max: 6968 Min: 3826 / Avg: 4938.47 / Max: 5734 Min: 3876 / Avg: 4872.33 / Max: 5617 Min: 3548 / Avg: 4757.86 / Max: 5562 Min: 3810 / Avg: 4695.08 / Max: 6053 Min: 4526 / Avg: 4659.67 / Max: 4799 Min: 2168 / Avg: 3077.67 / Max: 3549 Min: 2444 / Avg: 2460.67 / Max: 2481 1. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
Ryzen 9 5900X Processor: AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,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 performance - CPU Microcode: 0xa201009Python Notes: Python 2.7.18 + Python 3.8.5Security 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 20 October 2020 17:51 by user phoronix.
Ryzen 9 5950X 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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,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: 0xa201009Python Notes: Python 2.7.18 + Python 3.8.5Security 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 22 October 2020 09:48 by user phoronix.
AMD Ryzen 9 5950X 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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,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: 0xa201009Python Notes: Python 2.7.18 + Python 3.8.5Security 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 23 October 2020 15:01 by user phoronix.
AMD 5950X Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,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: 0xa201009Python Notes: Python 2.7.18 + Python 3.8.5Security 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 24 October 2020 18:30 by user phoronix.
AMD Ryzen 9 5900X 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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,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: 0xa201009Python Notes: Python 2.7.18 + Python 3.8.5Security 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 25 October 2020 17:05 by user phoronix.
AMD 5900X Processor: AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,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: 0xa201009Python Notes: Python 2.7.18 + Python 3.8.5Security 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 26 October 2020 14:58 by user phoronix.
Ryzen 7 3800XT Processor: AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,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: 0x8701021Python Notes: Python 2.7.18 + Python 3.8.5Security 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 28 October 2020 06:42 by user phoronix.
Ryzen 5 3600X Processor: AMD Ryzen 5 3600X 6-Core @ 3.80GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,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 performance - CPU Microcode: 0x8701021Python Notes: Python 2.7.18 + Python 3.8.5Security 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 29 October 2020 06:11 by user phoronix.
Ryzen 5 2600X Processor: AMD Ryzen 5 2600X Six-Core @ 3.60GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS), Chipset: AMD 17h, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,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: 0x800820dPython Notes: Python 2.7.18 + Python 3.8.5Security 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 31 October 2020 05:29 by user phoronix.
Ryzen 5 2600 Processor: AMD Ryzen 5 2600 Six-Core @ 3.40GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS), Chipset: AMD 17h, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,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: 0x800820dPython Notes: Python 2.7.18 + Python 3.8.5Security 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 1 November 2020 04:44 by user phoronix.
Core i5 10600K Processor: Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads), Motherboard: ASUS PRIME Z490M-PLUS (1001 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: 2000GB Corsair Force MP600, Graphics: ASUS Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC887-VD, Monitor: ASUS MG28U, Network: Intel
OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa), Vulkan: 1.2.145, Compiler: GCC 9.3.0, 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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,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: intel_pstate powersave - CPU Microcode: 0xc8 - Thermald 1.9.1Python Notes: Python 2.7.18 + Python 3.8.5Security Notes: itlb_multihit: KVM: Mitigation of VMX unsupported + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 2 November 2020 04:40 by user phoronix.