AMD Ryzen 5 3600X 6-Core testing with a MSI X470 GAMING M7 AC (MS-7B77) v1.0 (1.E0 BIOS) and AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB on Ubuntu 20.04 via the Phoronix Test Suite.
Ryzen 9 3900X Processor: AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads), Motherboard: ASUS TUF GAMING X570-PLUS (WI-FI) (2203 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: Samsung SSD 970 EVO 500GB, Graphics: MSI AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1366/2000MHz), Audio: AMD Ellesmere HDMI Audio, Monitor: DELL P2415Q, Network: Realtek RTL8111/8168/8411 + Intel-AC 9260
OS: Ubuntu 20.04, Kernel: 5.8.0-050800daily20200622-generic (x86_64), Desktop: GNOME Shell 3.36.2, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), 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,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: 0x8701021Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-3ubuntu1)Python Notes: Python 3.8.2Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Ryzen 9 3950X Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads)Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS)Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: Samsung SSD 970 EVO 500GB, Graphics: AMD Radeon VII 16GB (1801/1000MHz)Audio: AMD Vega 20 HDMI AudioMonitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 20.04, Kernel: 5.8.0-050800daily20200622-generic (x86_64), Desktop: GNOME Shell 3.36.2, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), 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,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: 0x8701013Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-3ubuntu1)Python Notes: Python 3.8.2Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Ryzen 7 3700X Processor: AMD Ryzen 7 3700X 8-Core @ 3.60GHz (8 Cores / 16 Threads)Motherboard: MSI MEG X570 GODLIKE (MS-7C34) v1.0 (1.94 BIOS)Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: Samsung SSD 970 EVO 500GB, Graphics: AMD Radeon RX 56/64 8GB (1630/945MHz)Audio: AMD Vega 10 HDMI AudioMonitor: DELL P2415Q, Network: Realtek Device 2600 + Realtek Device 3000 + Intel Wi-Fi 6 AX200
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-3ubuntu1)Python Notes: Python 3.8.2Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Core i9 10900K Processor: Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads)Motherboard: Gigabyte Z490 AORUS MASTER (F3 BIOS)Chipset: Intel Comet Lake PCHMemory: 16GB, Disk: Samsung SSD 970 EVO 500GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2055/875MHz)Audio: Realtek ALC1220Monitor: DELL P2415Q, Network: Intel Device 15f3 + Intel Wi-Fi 6 AX201
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-3ubuntu1)Python Notes: Python 3.8.2Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + 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
Core i5 10600K Changed Processor to Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads) .
Changed Motherboard to ASUS PRIME Z490M-PLUS (0603 BIOS) .
Changed Network to Intel .
Security Change: itlb_multihit: KVM: Vulnerable + 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
Ryzen 5 3600X Processor: AMD Ryzen 5 3600X 6-Core @ 3.80GHz (6 Cores / 12 Threads)Motherboard: MSI X470 GAMING M7 AC (MS-7B77) v1.0 (1.E0 BIOS)Chipset: AMD Starship/MatisseMemory: 16GB, Disk: Samsung SSD 970 EVO 500GB + 16GB Voyager 3.0Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2055/875MHz), Audio: AMD Navi 10 HDMI AudioMonitor: DELL P2415Q, Network: Qualcomm Atheros Killer E2500 + Intel 8265 / 8275
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-3ubuntu1)Python Notes: Python 3.8.2Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
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 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 200 400 600 800 1000 SE +/- 15.8150357, N = 15 SE +/- 0.1525614, N = 3 SE +/- 8.5023323, N = 15 SE +/- 0.0113085, N = 3 SE +/- 0.0191999, N = 3 SE +/- 0.0055240, N = 3 733.3271900 11.8552590 922.3295300 10.6611320 9.8612971 9.8265014 1. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi z/s Per Watt
OpenBenchmarking.org z/s Per Watt, More Is Better LULESH 2.0.3 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 20 40 60 80 100 107.62 0.14 51.08 0.30 0.15 0.17 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 2234 4764 Core i9 10900K 800 4546 5044 Ryzen 5 3600X 2200 2284 2799 Ryzen 7 3700X 2200 4146 4293 Ryzen 9 3900X 2197 3976 4179 Ryzen 9 3950X 2196 4018 4190 OpenBenchmarking.org Megahertz, More Is Better LULESH 2.0.3 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.5 6.8 9.2 Core i9 10900K 3.3 84.2 124.4 Ryzen 5 3600X 11.6 18.1 21.9 Ryzen 7 3700X 7.2 35.9 42.5 Ryzen 9 3900X 16.3 67.7 77.9 Ryzen 9 3950X 8.3 58.9 66.6 OpenBenchmarking.org Watts, Fewer Is Better LULESH 2.0.3 CPU Power Consumption Monitor 40 80 120 160 200 1. Core i5 10600K: Approximate power consumption of 26 Joules per run. 2. Core i9 10900K: Approximate power consumption of 2217 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 35 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 610 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 1150 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 942 Joules per run.
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.
ArrayFire ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org GFLOPS, More Is Better ArrayFire 3.7 Test: BLAS CPU Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 300 600 900 1200 1500 SE +/- 0.21, N = 4 SE +/- 1.01, N = 4 SE +/- 0.44, N = 3 SE +/- 0.75, N = 3 SE +/- 0.77, N = 3 SE +/- 2.74, N = 3 691.38 1244.40 187.55 249.52 348.73 432.78 1. (CXX) g++ options: -rdynamic GFLOPS Per Watt
OpenBenchmarking.org GFLOPS Per Watt, More Is Better ArrayFire 3.7 Test: BLAS CPU Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 3 6 9 12 15 9.01 7.23 2.80 3.49 2.99 4.13 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 3937 4789 Core i9 10900K 800 4297 5166 Ryzen 5 3600X 2200 3830 4138 Ryzen 7 3700X 2200 3825 4251 Ryzen 9 3900X 2196 3827 4137 Ryzen 9 3950X 2199 3923 4343 OpenBenchmarking.org Megahertz, More Is Better ArrayFire 3.7 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.7 76.7 116.8 Core i9 10900K 3.7 172.2 294.6 Ryzen 5 3600X 16.7 66.9 78.7 Ryzen 7 3700X 14.9 71.6 87.2 Ryzen 9 3900X 16.4 116.6 141.9 Ryzen 9 3950X 14.7 104.8 133.3 OpenBenchmarking.org Watts, Fewer Is Better ArrayFire 3.7 CPU Power Consumption Monitor 70 140 210 280 350 1. Core i5 10600K: Approximate power consumption of 1400 Joules per run. 2. Core i9 10900K: Approximate power consumption of 2669 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 736 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 692 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 1010 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 874 Joules per run.
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.
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
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 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 8M 16M 24M 32M 40M SE +/- 113288.17, N = 3 SE +/- 434212.68, N = 3 SE +/- 18779.00, N = 3 SE +/- 33830.55, N = 3 SE +/- 157944.37, N = 3 SE +/- 73163.84, N = 3 24900154.86 36251275.00 11852541.98 13963837.51 16089378.21 17554985.61 MIN: 967486 / MAX: 86721696 MIN: 1125121 / MAX: 175488768 MIN: 903029 / MAX: 36324216 MIN: 903050 / MAX: 52774272 MIN: 931822 / MAX: 78128856 MIN: 881682 / MAX: 77097600 Items / Sec Per Watt
OpenBenchmarking.org Items / Sec Per Watt, More Is Better OpenVKL 0.9 Benchmark: vklBenchmarkVdbVolume Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 100K 200K 300K 400K 500K 443716.68 400061.03 248754.21 324502.53 225275.70 300684.45 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4523 4811 Core i9 10900K 800 4869 5298 Ryzen 5 3600X 2200 4126 4332 Ryzen 7 3700X 2200 4203 4403 Ryzen 9 3900X 2196 4171 4529 Ryzen 9 3950X 2197 4195 4573 OpenBenchmarking.org Megahertz, More Is Better OpenVKL 0.9 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.1 56.1 133.7 Core i9 10900K 3.7 90.6 313.3 Ryzen 5 3600X 13.4 47.6 77.0 Ryzen 7 3700X 2.5 43.0 87.3 Ryzen 9 3900X 17.1 71.4 133.2 Ryzen 9 3950X 14.3 58.4 137.4 OpenBenchmarking.org Watts, Fewer Is Better OpenVKL 0.9 CPU Power Consumption Monitor 80 160 240 320 400 1. Core i5 10600K: Approximate power consumption of 3049 Joules per run. 2. Core i9 10900K: Approximate power consumption of 4501 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 1525 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 1320 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 2000 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 1537 Joules per run.
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 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 5 10 15 20 25 SE +/- 0.01, N = 9 SE +/- 0.00, N = 12 SE +/- 0.00, N = 3 SE +/- 0.00, N = 12 SE +/- 0.00, N = 15 SE +/- 0.00, N = 12 11.12 20.83 6.94 9.17 12.82 16.95 MIN: 10.75 / MAX: 11.36 MIN: 20 / MAX: 21.28 MIN: 6.76 / MAX: 7.04 MIN: 8.85 / MAX: 9.35 MIN: 12.35 / MAX: 12.99 MIN: 16.13 / MAX: 17.24 FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.0338 0.0676 0.1014 0.1352 0.169 0.14 0.13 0.10 0.13 0.11 0.15 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 3971 4643 Core i9 10900K 800 4067 4959 Ryzen 5 3600X 2200 3939 4129 Ryzen 7 3700X 2200 3996 4297 Ryzen 9 3900X 2196 3788 4131 Ryzen 9 3950X 2197 3814 4220 OpenBenchmarking.org Megahertz, More Is Better OSPray 1.8.5 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.5 80.7 112.1 Core i9 10900K 3.7 158.2 280.3 Ryzen 5 3600X 13.7 69.1 76.7 Ryzen 7 3700X 7.7 72.4 83.6 Ryzen 9 3900X 12.2 115.1 139.4 Ryzen 9 3950X 12.9 112.1 144.9 OpenBenchmarking.org Watts, Fewer Is Better OSPray 1.8.5 CPU Power Consumption Monitor 70 140 210 280 350 1. Core i5 10600K: Approximate power consumption of 1533 Joules per run. 2. Core i9 10900K: Approximate power consumption of 1674 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 1083 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 875 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 982 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 738 Joules per run.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 94.60 52.14 83.58 61.67 43.04 31.60 1. (CC) gcc options: -lm -lpthread -O3 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4373 4803 Core i9 10900K 800 4694 5092 Ryzen 5 3600X 2200 3962 4133 Ryzen 7 3700X 2201 4034 4360 Ryzen 9 3900X 2196 3856 4176 Ryzen 9 3950X 2196 3804 4392 OpenBenchmarking.org Megahertz, More Is Better C-Ray 1.1 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 85.8 105.5 Core i9 10900K 4.0 179.1 248.0 Ryzen 5 3600X 14.9 73.6 77.9 Ryzen 7 3700X 14.0 81.6 87.5 Ryzen 9 3900X 17.6 130.4 141.9 Ryzen 9 3950X 15.2 129.4 145.3 OpenBenchmarking.org Watts, Fewer Is Better C-Ray 1.1 CPU Power Consumption Monitor 60 120 180 240 300 1. Core i5 10600K: Approximate power consumption of 6752 Joules per run. 2. Core i9 10900K: Approximate power consumption of 7104 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 2896 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 2312 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 2478 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 1725 Joules per run.
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.
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 0.25 Backend: BLAS Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 200 400 600 800 1000 SE +/- 2.03, N = 3 SE +/- 2.33, N = 3 SE +/- 6.94, N = 3 SE +/- 2.08, N = 3 SE +/- 7.54, N = 3 SE +/- 2.60, N = 3 290 372 801 676 511 379 1. (CXX) g++ options: -pthread Nodes Per Second Per Watt
OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better LeelaChessZero 0.25 Backend: BLAS Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 3 6 9 12 15 3.03 1.99 10.54 9.31 4.58 3.86 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4513 4807 Core i9 10900K 800 4884 5299 Ryzen 5 3600X 2200 4068 4262 Ryzen 7 3700X 2200 4182 4365 Ryzen 9 3900X 2196 4048 4502 Ryzen 9 3950X 2197 4167 4503 OpenBenchmarking.org Megahertz, More Is Better LeelaChessZero 0.25 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 95.8 121.8 Core i9 10900K 3.7 186.6 268.8 Ryzen 5 3600X 10.7 76.0 81.3 Ryzen 7 3700X 14.0 72.6 77.7 Ryzen 9 3900X 15.2 111.6 129.2 Ryzen 9 3950X 14.9 98.1 112.3 OpenBenchmarking.org Watts, Fewer Is Better LeelaChessZero 0.25 CPU Power Consumption Monitor 70 140 210 280 350 1. Core i5 10600K: Approximate power consumption of 27944 Joules per run. 2. Core i9 10900K: Approximate power consumption of 48200 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 12155 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 11250 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 16331 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 13273 Joules per run.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.6012 1.2024 1.8036 2.4048 3.006 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 0.986 1.885 1.122 1.474 2.018 2.672 M samples/s Per Watt
OpenBenchmarking.org M samples/s Per Watt, More Is Better IndigoBench 4.0.64 Scene: Bedroom Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.0045 0.009 0.0135 0.018 0.0225 0.01 0.01 0.01 0.02 0.02 0.02 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4315 4802 Core i9 10900K 800 4756 5115 Ryzen 5 3600X 2200 3982 4343 Ryzen 7 3700X 2201 4016 4308 Ryzen 9 3900X 2196 3847 4435 Ryzen 9 3950X 2196 3989 4502 OpenBenchmarking.org Megahertz, More Is Better IndigoBench 4.0.64 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.8 88.7 111.4 Core i9 10900K 3.8 194.9 273.6 Ryzen 5 3600X 14.1 78.7 84.6 Ryzen 7 3700X 14.6 82.3 88.1 Ryzen 9 3900X 17.8 132.0 141.9 Ryzen 9 3950X 16.3 135.6 145.4 OpenBenchmarking.org Watts, Fewer Is Better IndigoBench 4.0.64 CPU Power Consumption Monitor 70 140 210 280 350 1. Core i5 10600K: Approximate power consumption of 4701 Joules per run. 2. Core i9 10900K: Approximate power consumption of 9097 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 2310 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 2331 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 3519 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 3346 Joules per run.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 6K 12K 18K 24K 30K SE +/- 26.63, N = 3 SE +/- 26.89, N = 3 SE +/- 39.57, N = 3 SE +/- 7.37, N = 3 SE +/- 53.99, N = 3 SE +/- 61.65, N = 3 10628 19801 11306 14789 20804 28353 Ksamples Per Watt
OpenBenchmarking.org Ksamples Per Watt, More Is Better Chaos Group V-RAY 4.10.07 Mode: CPU Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 50 100 150 200 250 117.86 98.83 141.42 189.18 165.86 220.51 Peak Freq (Highest Core Frequency
Min Avg Max Core i5 10600K 800 4335 4806 Core i9 10900K 800 4731 5129 Ryzen 5 3600X 2200 3963 4385 Ryzen 7 3700X 2201 3999 4400 Ryzen 9 3900X 2196 3818 4416 Ryzen 9 3950X 2197 4017 4568 OpenBenchmarking.org Megahertz, More Is Better Chaos Group V-RAY 4.10.07 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 Power Consumption
Min Avg Max Core i5 10600K 3.9 90.2 118.4 Core i9 10900K 4.1 200.4 295.2 Ryzen 5 3600X 15.7 79.9 90.8 Ryzen 7 3700X 14.2 78.2 88.1 Ryzen 9 3900X 15.8 125.4 141.9 Ryzen 9 3950X 15.4 128.6 145.4 OpenBenchmarking.org Watts, Fewer Is Better Chaos Group V-RAY 4.10.07 CPU Power Consumption Monitor 70 140 210 280 350 1. Core i5 10600K: Approximate power consumption of 5110 Joules per run. 2. Core i9 10900K: Approximate power consumption of 10018 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 2505 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 2371 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 3596 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 3429 Joules per run.
Stockfish This is a test of Stockfish, an advanced C++11 chess benchmark that can scale up to 128 CPU cores. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 9 Total Time Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 11M 22M 33M 44M 55M SE +/- 227051.09, N = 3 SE +/- 428466.12, N = 3 SE +/- 191676.90, N = 3 SE +/- 239521.12, N = 3 SE +/- 85018.52, N = 3 SE +/- 333099.23, N = 3 19265246 35063100 20277695 26837195 37490563 51330341 1. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto Nodes Per Second Per Watt
OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better Stockfish 9 Total Time Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 80K 160K 240K 320K 400K 194842.12 175119.13 246114.21 317192.80 278257.67 382136.03 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4362 4615 Core i9 10900K 800 4700 5130 Ryzen 5 3600X 2200 3964 4075 Ryzen 7 3700X 2201 3974 4074 Ryzen 9 3900X 2196 3778 3892 Ryzen 9 3950X 2200 3917 4026 OpenBenchmarking.org Megahertz, More Is Better Stockfish 9 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 4.0 98.9 120.2 Core i9 10900K 4.0 200.2 272.3 Ryzen 5 3600X 12.4 82.4 88.5 Ryzen 7 3700X 14.4 84.6 88.1 Ryzen 9 3900X 16.5 134.7 141.9 Ryzen 9 3950X 15.1 134.3 145.3 OpenBenchmarking.org Watts, Fewer Is Better Stockfish 9 CPU Power Consumption Monitor 70 140 210 280 350 1. Core i5 10600K: Approximate power consumption of 7086 Joules per run. 2. Core i9 10900K: Approximate power consumption of 10478 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 3131 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 2933 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 4132 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 3179 Joules per run.
John The Ripper This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 1.9.0-jumbo-1 Test: Blowfish Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 6K 12K 18K 24K 30K SE +/- 5.46, N = 3 SE +/- 22.34, N = 3 SE +/- 3.28, N = 3 SE +/- 6.96, N = 3 SE +/- 19.09, N = 3 SE +/- 30.61, N = 3 12816 23233 10398 14089 20174 27670 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2 Real C/S Per Watt
OpenBenchmarking.org Real C/S Per Watt, More Is Better John The Ripper 1.9.0-jumbo-1 Test: Blowfish Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 50 100 150 200 250 146.80 118.41 166.82 210.22 178.43 232.84 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4135 4617 Core i9 10900K 800 4446 4900 Ryzen 5 3600X 2200 3870 4100 Ryzen 7 3700X 2201 3972 4214 Ryzen 9 3900X 2196 3802 4174 Ryzen 9 3950X 2197 3870 4439 OpenBenchmarking.org Megahertz, More Is Better John The Ripper 1.9.0-jumbo-1 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 7.2 87.3 115.2 Core i9 10900K 4.2 196.2 292.2 Ryzen 5 3600X 17.0 62.3 68.7 Ryzen 7 3700X 14.5 67.0 74.3 Ryzen 9 3900X 16.7 113.1 127.5 Ryzen 9 3950X 15.3 118.8 133.3 OpenBenchmarking.org Watts, Fewer Is Better John The Ripper 1.9.0-jumbo-1 CPU Power Consumption Monitor 70 140 210 280 350 1. Core i5 10600K: Approximate power consumption of 2386 Joules per run. 2. Core i9 10900K: Approximate power consumption of 4774 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 956 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 983 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 1545 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 1505 Joules per run.
John The Ripper This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 1.9.0-jumbo-1 Test: MD5 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 400K 800K 1200K 1600K 2000K SE +/- 829.83, N = 3 SE +/- 1527.53, N = 3 SE +/- 2385.59, N = 3 SE +/- 3016.95, N = 3 SE +/- 2185.81, N = 3 SE +/- 5000.00, N = 3 741670 1347000 680513 909977 1306667 1781000 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2 Real C/S Per Watt
OpenBenchmarking.org Real C/S Per Watt, More Is Better John The Ripper 1.9.0-jumbo-1 Test: MD5 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 3K 6K 9K 12K 15K 6942.78 5587.36 8683.70 10934.56 9794.71 13263.04 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4343 4561 Core i9 10900K 800 4689 4944 Ryzen 5 3600X 2200 3912 4090 Ryzen 7 3700X 2201 3931 4129 Ryzen 9 3900X 2196 3785 4222 Ryzen 9 3950X 2198 3865 4102 OpenBenchmarking.org Megahertz, More Is Better John The Ripper 1.9.0-jumbo-1 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 106.8 133.9 Core i9 10900K 3.7 241.1 341.3 Ryzen 5 3600X 14.2 78.4 85.4 Ryzen 7 3700X 15.1 83.2 88.1 Ryzen 9 3900X 17.1 133.4 141.9 Ryzen 9 3950X 14.9 134.3 145.4 OpenBenchmarking.org Watts, Fewer Is Better John The Ripper 1.9.0-jumbo-1 CPU Power Consumption Monitor 80 160 240 320 400 1. Core i5 10600K: Approximate power consumption of 5448 Joules per run. 2. Core i9 10900K: Approximate power consumption of 10929 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 2220 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 2275 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 3424 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 3223 Joules per run.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 5 10 15 20 25 SE +/- 0.0134, N = 3 SE +/- 0.0480, N = 3 SE +/- 0.0247, N = 3 SE +/- 0.0236, N = 3 SE +/- 0.0123, N = 3 SE +/- 0.0181, N = 3 7.9731 15.4849 8.5552 11.2288 15.5686 20.7909 MIN: 7.89 / MAX: 8.16 MIN: 15.3 / MAX: 15.88 MIN: 8.47 / MAX: 8.77 MIN: 11.13 / MAX: 11.42 MIN: 15.43 / MAX: 15.89 MIN: 20.61 / MAX: 21.24 Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Crown Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.036 0.072 0.108 0.144 0.18 0.08 0.07 0.11 0.14 0.12 0.16 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4362 4554 Core i9 10900K 800 4569 5119 Ryzen 5 3600X 2200 3948 4075 Ryzen 7 3700X 2200 3976 4130 Ryzen 9 3900X 2197 3759 4109 Ryzen 9 3950X 2196 3849 4238 OpenBenchmarking.org Megahertz, More Is Better Embree 3.9.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.8 97.6 118.4 Core i9 10900K 3.9 211.5 301.7 Ryzen 5 3600X 15.5 81.3 86.6 Ryzen 7 3700X 15.0 82.2 88.1 Ryzen 9 3900X 16.6 130.5 141.9 Ryzen 9 3950X 15.4 128.8 145.2 OpenBenchmarking.org Watts, Fewer Is Better Embree 3.9.0 CPU Power Consumption Monitor 80 160 240 320 400 1. Core i5 10600K: Approximate power consumption of 6313 Joules per run. 2. Core i9 10900K: Approximate power consumption of 6626 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 2736 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 2055 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 2263 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 1631 Joules per run.
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.
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 20 40 60 80 100 SE +/- 0.03, N = 4 SE +/- 0.05, N = 5 SE +/- 0.04, N = 4 SE +/- 0.07, N = 4 SE +/- 0.09, N = 6 SE +/- 0.14, N = 7 39.36 70.63 41.23 53.44 75.04 100.41 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-HEVC 1.4.1 1080p 8-bit YUV To HEVC Video Encode Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.2318 0.4636 0.6954 0.9272 1.159 0.45 0.42 0.54 0.79 0.75 1.03 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 3954 4785 Core i9 10900K 800 4070 5132 Ryzen 5 3600X 2200 3645 4254 Ryzen 7 3700X 2200 3566 4217 Ryzen 9 3900X 2196 3212 3884 Ryzen 9 3950X 2196 3326 4196 OpenBenchmarking.org Megahertz, More Is Better SVT-HEVC 1.4.1 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.7 86.7 132.9 Core i9 10900K 3.3 169.0 329.7 Ryzen 5 3600X 15.9 76.1 95.6 Ryzen 7 3700X 14.2 67.7 88.4 Ryzen 9 3900X 15.2 99.8 141.9 Ryzen 9 3950X 15.5 97.2 142.2 OpenBenchmarking.org Watts, Fewer Is Better SVT-HEVC 1.4.1 CPU Power Consumption Monitor 80 160 240 320 400 1. Core i5 10600K: Approximate power consumption of 1539 Joules per run. 2. Core i9 10900K: Approximate power consumption of 1792 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 647 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 457 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 499 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 403 Joules per run.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 50 100 150 200 250 SE +/- 0.03, N = 3 SE +/- 0.28, N = 3 SE +/- 0.22, N = 3 SE +/- 0.42, N = 3 SE +/- 0.06, N = 3 SE +/- 0.64, N = 3 101.06 192.44 92.64 124.67 177.56 235.39 MIN: 1 / MAX: 389 MIN: 1 / MAX: 767 MIN: 1 / MAX: 339 MIN: 1 / MAX: 455 MIN: 1 / MAX: 636 MIN: 1 / MAX: 850 Items / Sec Per Watt
OpenBenchmarking.org Items / Sec Per Watt, More Is Better OpenVKL 0.9 Benchmark: vklBenchmark Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.891 1.782 2.673 3.564 4.455 1.89 2.58 1.91 2.90 2.48 3.96 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4556 4813 Core i9 10900K 800 4940 5138 Ryzen 5 3600X 2200 4143 4404 Ryzen 7 3700X 2200 4230 4409 Ryzen 9 3900X 2197 4158 4547 Ryzen 9 3950X 2199 4203 4508 OpenBenchmarking.org Megahertz, More Is Better OpenVKL 0.9 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.5 53.3 128.3 Core i9 10900K 3.9 74.6 235.4 Ryzen 5 3600X 14.6 48.6 84.6 Ryzen 7 3700X 15.2 43.1 88.1 Ryzen 9 3900X 16.8 71.6 141.9 Ryzen 9 3950X 15.1 59.4 140.0 OpenBenchmarking.org Watts, Fewer Is Better OpenVKL 0.9 CPU Power Consumption Monitor 60 120 180 240 300 1. Core i5 10600K: Approximate power consumption of 3947 Joules per run. 2. Core i9 10900K: Approximate power consumption of 4600 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 2074 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 1751 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 2793 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 2080 Joules per run.
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.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 1.2834 2.5668 3.8502 5.1336 6.417 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.016, N = 3 2.266 4.408 2.359 3.105 4.341 5.704 M samples/s Per Watt
OpenBenchmarking.org M samples/s Per Watt, More Is Better IndigoBench 4.0.64 Scene: Supercar Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.009 0.018 0.027 0.036 0.045 0.03 0.02 0.03 0.04 0.03 0.04 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4313 4803 Core i9 10900K 800 4669 5102 Ryzen 5 3600X 2200 3963 4235 Ryzen 7 3700X 2201 4051 4386 Ryzen 9 3900X 2197 3873 4412 Ryzen 9 3950X 2196 4030 4349 OpenBenchmarking.org Megahertz, More Is Better IndigoBench 4.0.64 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 4.0 89.1 111.0 Core i9 10900K 3.8 196.8 274.5 Ryzen 5 3600X 17.2 77.6 82.9 Ryzen 7 3700X 15.6 82.5 88.1 Ryzen 9 3900X 17.1 132.7 141.9 Ryzen 9 3950X 15.8 135.6 145.4 OpenBenchmarking.org Watts, Fewer Is Better IndigoBench 4.0.64 CPU Power Consumption Monitor 70 140 210 280 350 1. Core i5 10600K: Approximate power consumption of 4694 Joules per run. 2. Core i9 10900K: Approximate power consumption of 9182 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 2250 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 2338 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 3494 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 3344 Joules per run.
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: SciVis Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 6 12 18 24 30 SE +/- 0.01, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.06, N = 3 SE +/- 0.06, N = 6 SE +/- 0.00, N = 15 12.65 23.26 10.20 13.39 19.17 25.64 MIN: 12.05 / MAX: 12.82 MIN: 22.73 / MAX: 23.81 MIN: 9.52 / MAX: 10.87 MIN: 13.16 / MAX: 14.29 MIN: 18.52 / MAX: 20.41 MIN: 24.39 / MAX: 27.03 FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.09 0.18 0.27 0.36 0.45 0.19 0.23 0.18 0.27 0.25 0.40 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4346 5003 Core i9 10900K 800 4623 5151 Ryzen 5 3600X 2200 4017 4336 Ryzen 7 3700X 2201 4026 4402 Ryzen 9 3900X 2196 4059 4514 Ryzen 9 3950X 2197 4138 4610 OpenBenchmarking.org Megahertz, More Is Better OSPray 1.8.5 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 4.7 66.3 131.3 Core i9 10900K 3.8 102.8 334.5 Ryzen 5 3600X 4.8 56.0 86.9 Ryzen 7 3700X 11.1 50.2 88.0 Ryzen 9 3900X 14.3 75.8 141.9 Ryzen 9 3950X 11.7 63.8 145.3 OpenBenchmarking.org Watts, Fewer Is Better OSPray 1.8.5 CPU Power Consumption Monitor 80 160 240 320 400 1. Core i5 10600K: Approximate power consumption of 2211 Joules per run. 2. Core i9 10900K: Approximate power consumption of 2347 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 1218 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 937 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 1175 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 851 Joules per run.
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.
asmFish This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Nodes/second, More Is Better asmFish 2018-07-23 1024 Hash Memory, 26 Depth Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 11M 22M 33M 44M 55M SE +/- 278340.18, N = 3 SE +/- 153967.16, N = 3 SE +/- 248931.07, N = 3 SE +/- 295515.20, N = 3 SE +/- 330606.40, N = 3 SE +/- 176223.78, N = 3 21992743 40128880 21065822 28351218 39056129 52604552 Nodes/second Per Watt
OpenBenchmarking.org Nodes/second Per Watt, More Is Better asmFish 2018-07-23 1024 Hash Memory, 26 Depth Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 80K 160K 240K 320K 400K 224241.68 199612.83 258666.30 329860.58 282989.39 373004.33 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4414 4803 Core i9 10900K 800 4796 5113 Ryzen 5 3600X 2201 4010 4095 Ryzen 7 3700X 2201 4043 4164 Ryzen 9 3900X 2197 3872 4342 Ryzen 9 3950X 2199 3990 4113 OpenBenchmarking.org Megahertz, More Is Better asmFish 2018-07-23 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.7 98.1 116.7 Core i9 10900K 3.9 201.0 263.7 Ryzen 5 3600X 15.5 81.4 83.9 Ryzen 7 3700X 14.6 85.9 88.1 Ryzen 9 3900X 16.8 138.0 142.0 Ryzen 9 3950X 15.1 141.0 145.4 OpenBenchmarking.org Watts, Fewer Is Better asmFish 2018-07-23 CPU Power Consumption Monitor 70 140 210 280 350 1. Core i5 10600K: Approximate power consumption of 12257 Joules per run. 2. Core i9 10900K: Approximate power consumption of 18227 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 7248 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 6016 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 8189 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 7757 Joules per run.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 2 4 6 8 10 SE +/- 0.00, N = 5 SE +/- 0.01, N = 6 SE +/- 0.00, N = 3 SE +/- 0.00, N = 5 SE +/- 0.01, N = 3 SE +/- 0.01, N = 5 3.11 5.91 2.93 3.83 5.48 7.29 MIN: 3.04 / MAX: 3.18 MIN: 5.81 / MAX: 6.06 MIN: 2.88 / MAX: 2.97 MIN: 3.77 / MAX: 3.89 MIN: 5.41 / MAX: 5.56 MIN: 7.14 / MAX: 7.41 FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.0135 0.027 0.0405 0.054 0.0675 0.03 0.03 0.04 0.05 0.04 0.06 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4360 4804 Core i9 10900K 800 4611 5135 Ryzen 5 3600X 2200 3966 4373 Ryzen 7 3700X 2200 3961 4401 Ryzen 9 3900X 2196 3703 4349 Ryzen 9 3950X 2197 3801 4485 OpenBenchmarking.org Megahertz, More Is Better OSPray 1.8.5 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.7 104.2 128.7 Core i9 10900K 4.3 233.9 343.0 Ryzen 5 3600X 13.9 80.9 86.5 Ryzen 7 3700X 13.7 81.3 88.1 Ryzen 9 3900X 16.7 129.6 141.9 Ryzen 9 3950X 15.7 123.7 145.3 OpenBenchmarking.org Watts, Fewer Is Better OSPray 1.8.5 CPU Power Consumption Monitor 80 160 240 320 400 1. Core i5 10600K: Approximate power consumption of 6230 Joules per run. 2. Core i9 10900K: Approximate power consumption of 6979 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 2804 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 2145 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 2332 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 1657 Joules per run.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 1.062 2.124 3.186 4.248 5.31 SE +/- 0.00, N = 3 SE +/- 0.00, N = 12 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 2.08 3.95 1.90 2.49 3.53 4.72 MIN: 2.06 / MAX: 2.11 MIN: 3.89 / MAX: 3.98 MIN: 1.88 / MAX: 1.94 MIN: 2.46 / MAX: 2.52 MIN: 3.44 / MAX: 3.58 MIN: 4.67 / MAX: 4.78 FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.009 0.018 0.027 0.036 0.045 0.02 0.02 0.02 0.03 0.03 0.04 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4409 4804 Core i9 10900K 800 4668 5141 Ryzen 5 3600X 2200 3984 4288 Ryzen 7 3700X 2200 3966 4401 Ryzen 9 3900X 2196 3822 4495 Ryzen 9 3950X 2200 3951 4438 OpenBenchmarking.org Megahertz, More Is Better OSPray 1.8.5 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 7.0 107.8 131.0 Core i9 10900K 3.7 249.4 354.3 Ryzen 5 3600X 6.0 83.1 89.7 Ryzen 7 3700X 14.5 83.0 88.1 Ryzen 9 3900X 16.7 131.7 141.9 Ryzen 9 3950X 11.7 129.2 145.4 OpenBenchmarking.org Watts, Fewer Is Better OSPray 1.8.5 CPU Power Consumption Monitor 100 200 300 400 500 1. Core i5 10600K: Approximate power consumption of 9382 Joules per run. 2. Core i9 10900K: Approximate power consumption of 10641 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 4402 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 3290 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 3511 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 2540 Joules per run.
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.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.5558 1.1116 1.6674 2.2232 2.779 SE +/- 0.00, N = 6 SE +/- 0.00, N = 4 SE +/- 0.00, N = 3 SE +/- 0.00, N = 4 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.12 2.14 1.00 1.30 1.85 2.47 MIN: 1.11 / MAX: 1.13 MIN: 2.11 / MAX: 2.16 MIN: 0.99 / MAX: 1.01 MIN: 1.29 / MAX: 1.32 MIN: 1.84 / MAX: 1.87 MIN: 2.45 / MAX: 2.5 FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.0045 0.009 0.0135 0.018 0.0225 0.01 0.01 0.01 0.02 0.01 0.02 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4438 4807 Core i9 10900K 800 4793 5122 Ryzen 5 3600X 2200 3984 4253 Ryzen 7 3700X 2200 4009 4380 Ryzen 9 3900X 2196 3832 4454 Ryzen 9 3950X 2201 3987 4519 OpenBenchmarking.org Megahertz, More Is Better OSPray 1.8.5 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 109.4 129.9 Core i9 10900K 4.0 258.0 349.6 Ryzen 5 3600X 15.1 83.9 87.9 Ryzen 7 3700X 14.3 85.2 88.1 Ryzen 9 3900X 16.5 135.7 141.9 Ryzen 9 3950X 14.7 135.9 145.4 OpenBenchmarking.org Watts, Fewer Is Better OSPray 1.8.5 CPU Power Consumption Monitor 100 200 300 400 500 1. Core i5 10600K: Approximate power consumption of 17266 Joules per run. 2. Core i9 10900K: Approximate power consumption of 19414 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 8138 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 6222 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 6605 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 4756 Joules per run.
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 2.13 ATPase Simulation - 327,506 Atoms Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.6177 1.2354 1.8531 2.4708 3.0885 SE +/- 0.00227, N = 3 SE +/- 0.00484, N = 3 SE +/- 0.00158, N = 3 SE +/- 0.00199, N = 3 SE +/- 0.00678, N = 3 SE +/- 0.00353, N = 3 2.13726 1.20087 2.74547 2.06973 1.48019 1.12073 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4390 4500 Core i9 10900K 800 4694 4900 Ryzen 5 3600X 2200 3949 4100 Ryzen 7 3700X 2201 3990 4201 Ryzen 9 3900X 2196 3872 4040 Ryzen 9 3950X 2199 3979 4240 OpenBenchmarking.org Megahertz, More Is Better NAMD 2.13 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 4.1 110.9 138.3 Core i9 10900K 3.9 234.0 341.3 Ryzen 5 3600X 14.2 80.3 85.1 Ryzen 7 3700X 10.0 84.3 88.1 Ryzen 9 3900X 16.2 133.9 141.9 Ryzen 9 3950X 16.4 134.9 145.3 OpenBenchmarking.org Watts, Fewer Is Better NAMD 2.13 CPU Power Consumption Monitor 80 160 240 320 400 1. Core i5 10600K: Approximate power consumption of 9462 Joules per run. 2. Core i9 10900K: Approximate power consumption of 12246 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 5058 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 3738 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 4554 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 3328 Joules per run.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 5 10 15 20 25 SE +/- 0.0192, N = 3 SE +/- 0.0974, N = 3 SE +/- 0.0661, N = 3 SE +/- 0.0488, N = 3 SE +/- 0.0194, N = 3 SE +/- 0.0770, N = 3 8.9082 17.6521 9.5779 12.2395 16.7319 21.6903 MIN: 8.83 / MAX: 9.08 MIN: 17.44 / MAX: 18.07 MIN: 9.02 / MAX: 9.77 MIN: 12.12 / MAX: 12.47 MIN: 16.61 / MAX: 17.16 MIN: 21.4 / MAX: 22.35 Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.0383 0.0766 0.1149 0.1532 0.1915 0.10 0.09 0.13 0.15 0.13 0.17 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4325 4802 Core i9 10900K 800 4618 5121 Ryzen 5 3600X 2200 3992 4324 Ryzen 7 3700X 2201 4081 4374 Ryzen 9 3900X 2198 3866 4456 Ryzen 9 3950X 2198 3952 4529 OpenBenchmarking.org Megahertz, More Is Better Embree 3.9.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 89.9 110.1 Core i9 10900K 3.8 190.5 277.5 Ryzen 5 3600X 15.8 75.6 80.3 Ryzen 7 3700X 15.5 80.4 87.2 Ryzen 9 3900X 16.5 126.0 139.5 Ryzen 9 3950X 15.9 125.1 141.4 OpenBenchmarking.org Watts, Fewer Is Better Embree 3.9.0 CPU Power Consumption Monitor 70 140 210 280 350 1. Core i5 10600K: Approximate power consumption of 5243 Joules per run. 2. Core i9 10900K: Approximate power consumption of 5333 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 2294 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 1877 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 2058 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 1542 Joules per run.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 20 40 60 80 100 SE +/- 0.17, N = 3 SE +/- 0.01, N = 4 SE +/- 0.01, N = 3 SE +/- 0.02, N = 4 SE +/- 0.02, N = 4 SE +/- 0.08, N = 5 44.32 81.79 44.75 59.96 84.50 107.91 mrays/s Per Watt
OpenBenchmarking.org mrays/s Per Watt, More Is Better rays1bench 2020-01-09 Large Scene Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.2903 0.5806 0.8709 1.1612 1.4515 0.47 0.44 0.60 0.88 0.90 1.29 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4021 4810 Core i9 10900K 800 4196 5129 Ryzen 5 3600X 2200 3719 4336 Ryzen 7 3700X 2201 3628 4396 Ryzen 9 3900X 2196 3461 4500 Ryzen 9 3950X 2197 3613 4568 OpenBenchmarking.org Megahertz, More Is Better rays1bench 2020-01-09 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.7 94.2 141.3 Core i9 10900K 4.0 184.6 369.6 Ryzen 5 3600X 12.7 75.0 95.5 Ryzen 7 3700X 9.4 68.2 88.1 Ryzen 9 3900X 15.4 94.3 141.7 Ryzen 9 3950X 14.3 83.4 141.2 OpenBenchmarking.org Watts, Fewer Is Better rays1bench 2020-01-09 CPU Power Consumption Monitor 100 200 300 400 500 1. Core i5 10600K: Approximate power consumption of 1852 Joules per run. 2. Core i9 10900K: Approximate power consumption of 2077 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 824 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 580 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 613 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 417 Joules per run.
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: SciVis Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 8 16 24 32 40 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 15.15 28.57 14.71 19.23 27.03 35.71 MIN: 14.08 / MAX: 15.38 MIN: 26.32 / MAX: 29.41 MIN: 13.7 / MAX: 14.93 MIN: 18.18 / MAX: 19.61 MIN: 25.64 / MAX: 27.78 MIN: 33.33 / MAX: 37.04 FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: SciVis Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.0923 0.1846 0.2769 0.3692 0.4615 0.18 0.18 0.21 0.30 0.29 0.41 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 3888 5008 Core i9 10900K 800 3950 5131 Ryzen 5 3600X 2200 3705 4302 Ryzen 7 3700X 2201 3718 4410 Ryzen 9 3900X 2196 3539 4461 Ryzen 9 3950X 2197 3705 4534 OpenBenchmarking.org Megahertz, More Is Better OSPray 1.8.5 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 83.7 129.2 Core i9 10900K 3.9 157.2 334.3 Ryzen 5 3600X 4.2 69.7 88.0 Ryzen 7 3700X 10.9 64.1 88.0 Ryzen 9 3900X 16.1 94.2 141.9 Ryzen 9 3950X 12.9 86.3 145.3 OpenBenchmarking.org Watts, Fewer Is Better OSPray 1.8.5 CPU Power Consumption Monitor 80 160 240 320 400 1. Core i5 10600K: Approximate power consumption of 1360 Joules per run. 2. Core i9 10900K: Approximate power consumption of 1519 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 633 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 476 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 518 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 396 Joules per run.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 5 10 15 20 25 SE +/- 0.1469, N = 3 SE +/- 0.0340, N = 3 SE +/- 0.0127, N = 3 SE +/- 0.0169, N = 3 SE +/- 0.0225, N = 3 SE +/- 0.1368, N = 3 8.8178 17.7389 8.2245 10.7418 14.9251 19.9283 MIN: 8.48 / MAX: 9.31 MIN: 17.52 / MAX: 18.16 MIN: 8.15 / MAX: 8.38 MIN: 10.65 / MAX: 10.92 MIN: 14.78 / MAX: 15.3 MIN: 19.33 / MAX: 20.57 Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.0338 0.0676 0.1014 0.1352 0.169 0.09 0.08 0.10 0.13 0.11 0.15 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4332 4544 Core i9 10900K 800 4531 5100 Ryzen 5 3600X 2200 3965 4266 Ryzen 7 3700X 2200 3929 4116 Ryzen 9 3900X 2196 3724 4140 Ryzen 9 3950X 2205 3930 4547 OpenBenchmarking.org Megahertz, More Is Better Embree 3.9.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 96.3 119.1 Core i9 10900K 3.9 220.6 318.9 Ryzen 5 3600X 11.0 80.6 85.9 Ryzen 7 3700X 14.2 82.4 88.0 Ryzen 9 3900X 17.1 130.0 141.9 Ryzen 9 3950X 16.1 130.4 145.4 OpenBenchmarking.org Watts, Fewer Is Better Embree 3.9.0 CPU Power Consumption Monitor 80 160 240 320 400 1. Core i5 10600K: Approximate power consumption of 5682 Joules per run. 2. Core i9 10900K: Approximate power consumption of 6103 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 2793 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 2143 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 2340 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 1739 Joules per run.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 10 20 30 40 50 SE +/- 0.07, N = 4 SE +/- 0.07, N = 5 SE +/- 0.02, N = 3 SE +/- 0.04, N = 4 SE +/- 0.05, N = 5 SE +/- 0.11, N = 5 20.76 38.06 18.20 26.96 36.16 43.18 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 8 - Input: 1080p Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.1193 0.2386 0.3579 0.4772 0.5965 0.29 0.29 0.28 0.42 0.39 0.53 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4044 4804 Core i9 10900K 800 4016 5094 Ryzen 5 3600X 2200 3768 4203 Ryzen 7 3700X 2200 3689 4345 Ryzen 9 3900X 2196 3641 4545 Ryzen 9 3950X 2197 3786 4567 OpenBenchmarking.org Megahertz, More Is Better SVT-AV1 0.8 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.5 72.1 117.6 Core i9 10900K 3.8 129.9 271.3 Ryzen 5 3600X 15.9 65.4 83.0 Ryzen 7 3700X 14.4 64.5 86.8 Ryzen 9 3900X 15.7 92.0 138.9 Ryzen 9 3950X 16.1 81.4 139.1 OpenBenchmarking.org Watts, Fewer Is Better SVT-AV1 0.8 CPU Power Consumption Monitor 70 140 210 280 350 1. Core i5 10600K: Approximate power consumption of 1280 Joules per run. 2. Core i9 10900K: Approximate power consumption of 1455 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 654 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 468 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 534 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 391 Joules per run.
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 Obj Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 5 10 15 20 25 SE +/- 0.0160, N = 3 SE +/- 0.0299, N = 3 SE +/- 0.0063, N = 3 SE +/- 0.0313, N = 3 SE +/- 0.0235, N = 3 SE +/- 0.0156, N = 3 8.3197 16.2155 8.9278 11.2323 15.3755 19.6920 MIN: 8.25 / MAX: 8.44 MIN: 16.1 / MAX: 16.48 MIN: 8.89 / MAX: 9.02 MIN: 11.11 / MAX: 11.49 MIN: 15.25 / MAX: 15.65 MIN: 19.53 / MAX: 20.22 Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Obj Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.0428 0.0856 0.1284 0.1712 0.214 0.10 0.10 0.13 0.16 0.14 0.19 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4402 4807 Core i9 10900K 800 4730 5130 Ryzen 5 3600X 2200 4020 4396 Ryzen 7 3700X 2200 4079 4419 Ryzen 9 3900X 2196 3969 4520 Ryzen 9 3950X 2197 4100 4596 OpenBenchmarking.org Megahertz, More Is Better Embree 3.9.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 83.0 110.4 Core i9 10900K 3.9 161.5 276.7 Ryzen 5 3600X 15.3 71.0 81.1 Ryzen 7 3700X 15.5 72.1 86.0 Ryzen 9 3900X 17.0 112.2 139.7 Ryzen 9 3950X 14.9 104.1 140.0 OpenBenchmarking.org Watts, Fewer Is Better Embree 3.9.0 CPU Power Consumption Monitor 70 140 210 280 350 1. Core i5 10600K: Approximate power consumption of 5978 Joules per run. 2. Core i9 10900K: Approximate power consumption of 6189 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 2649 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 2164 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 2506 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 1839 Joules per run.
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 9Jan2020 Model: Rhodopsin Protein Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 3 6 9 12 15 SE +/- 0.044, N = 8 SE +/- 0.036, N = 10 SE +/- 0.059, N = 15 SE +/- 0.079, N = 15 SE +/- 0.115, N = 15 SE +/- 0.093, N = 11 5.127 8.592 4.917 6.244 8.928 11.636 1. (CXX) g++ options: -O3 -rdynamic -ljpeg -lpng -lz -lfftw3 -lm ns/day Per Watt
OpenBenchmarking.org ns/day Per Watt, More Is Better LAMMPS Molecular Dynamics Simulator 9Jan2020 Model: Rhodopsin Protein Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.054 0.108 0.162 0.216 0.27 0.12 0.13 0.11 0.14 0.16 0.24 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 3275 4728 Core i9 10900K 800 3463 4991 Ryzen 5 3600X 2200 3200 4166 Ryzen 7 3700X 2200 3165 4298 Ryzen 9 3900X 2195 3160 4453 Ryzen 9 3950X 2197 3104 4360 OpenBenchmarking.org Megahertz, More Is Better LAMMPS Molecular Dynamics Simulator 9Jan2020 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 42.3 79.7 Core i9 10900K 3.2 64.2 218.7 Ryzen 5 3600X 5.7 43.9 77.4 Ryzen 7 3700X 14.0 43.7 86.0 Ryzen 9 3900X 15.6 55.1 139.7 Ryzen 9 3950X 14.7 49.4 144.7 OpenBenchmarking.org Watts, Fewer Is Better LAMMPS Molecular Dynamics Simulator 9Jan2020 CPU Power Consumption Monitor 60 120 180 240 300 1. Core i5 10600K: Approximate power consumption of 306 Joules per run. 2. Core i9 10900K: Approximate power consumption of 353 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 161 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 143 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 154 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 121 Joules per run.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 1.2034 2.4068 3.6102 4.8136 6.017 SE +/- 0.020833, N = 3 SE +/- 0.009269, N = 3 SE +/- 0.019448, N = 3 SE +/- 0.017102, N = 3 SE +/- 0.059075, N = 3 SE +/- 0.041086, N = 3 2.448600 5.252670 2.299790 2.876944 4.107766 5.348254 1. (CC) gcc options: -O3 -march=native -fopenmp GFLOP/s Per Watt
OpenBenchmarking.org GFLOP/s Per Watt, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.0135 0.027 0.0405 0.054 0.0675 0.04 0.05 0.04 0.05 0.04 0.06 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4369 4802 Core i9 10900K 800 4659 5108 Ryzen 5 3600X 2201 4123 4298 Ryzen 7 3700X 2200 4176 4389 Ryzen 9 3900X 2196 3914 4423 Ryzen 9 3950X 2198 4065 4370 OpenBenchmarking.org Megahertz, More Is Better ACES DGEMM 1.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 64.0 78.3 Core i9 10900K 3.8 115.5 166.7 Ryzen 5 3600X 13.3 59.7 65.1 Ryzen 7 3700X 3.7 60.5 67.5 Ryzen 9 3900X 16.2 103.1 113.9 Ryzen 9 3950X 13.0 97.0 114.0 OpenBenchmarking.org Watts, Fewer Is Better ACES DGEMM 1.0 CPU Power Consumption Monitor 50 100 150 200 250 1. Core i5 10600K: Approximate power consumption of 5099 Joules per run. 2. Core i9 10900K: Approximate power consumption of 4004 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 2784 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 2198 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 2475 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 1746 Joules per run.
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 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 5 10 15 20 25 SE +/- 0.0459, N = 3 SE +/- 0.0917, N = 3 SE +/- 0.0246, N = 3 SE +/- 0.0186, N = 3 SE +/- 0.0076, N = 3 SE +/- 0.2364, N = 3 10.5522 20.5844 9.4339 12.0717 16.5339 21.5791 MIN: 10.43 / MAX: 10.83 MIN: 20.32 / MAX: 21.18 MIN: 9.37 / MAX: 9.62 MIN: 11.99 / MAX: 12.26 MIN: 16.43 / MAX: 16.91 MIN: 21.21 / MAX: 22.54 Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.0383 0.0766 0.1149 0.1532 0.1915 0.12 0.10 0.13 0.15 0.13 0.17 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4304 4524 Core i9 10900K 800 4454 5133 Ryzen 5 3600X 2201 3998 4265 Ryzen 7 3700X 2200 4029 4403 Ryzen 9 3900X 2196 3794 4001 Ryzen 9 3950X 2198 3922 4487 OpenBenchmarking.org Megahertz, More Is Better Embree 3.9.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 90.0 111.3 Core i9 10900K 3.8 197.9 293.1 Ryzen 5 3600X 14.4 74.7 79.8 Ryzen 7 3700X 15.1 79.5 86.5 Ryzen 9 3900X 17.5 126.7 140.2 Ryzen 9 3950X 15.4 123.7 141.7 OpenBenchmarking.org Watts, Fewer Is Better Embree 3.9.0 CPU Power Consumption Monitor 70 140 210 280 350 1. Core i5 10600K: Approximate power consumption of 4468 Joules per run. 2. Core i9 10900K: Approximate power consumption of 4750 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 2292 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 1882 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 2111 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 1525 Joules per run.
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
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 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 5 10 15 20 25 SE +/- 0.0085, N = 3 SE +/- 0.0127, N = 3 SE +/- 0.0046, N = 3 SE +/- 0.0086, N = 3 SE +/- 0.0098, N = 3 SE +/- 0.0169, N = 3 9.4070 18.2249 8.4880 10.7433 14.8133 19.0438 MIN: 9.34 / MAX: 9.61 MIN: 18.09 / MAX: 18.64 MIN: 8.45 / MAX: 8.6 MIN: 10.67 / MAX: 10.92 MIN: 14.72 / MAX: 15.04 MIN: 18.89 / MAX: 19.45 Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.0405 0.081 0.1215 0.162 0.2025 0.11 0.11 0.12 0.15 0.13 0.18 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4399 4805 Core i9 10900K 800 4666 5145 Ryzen 5 3600X 2200 4022 4366 Ryzen 7 3700X 2200 4131 4408 Ryzen 9 3900X 2197 3966 4506 Ryzen 9 3950X 2197 4121 4608 OpenBenchmarking.org Megahertz, More Is Better Embree 3.9.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 82.9 111.3 Core i9 10900K 3.7 165.4 287.6 Ryzen 5 3600X 15.2 71.3 80.5 Ryzen 7 3700X 14.0 72.1 86.6 Ryzen 9 3900X 17.0 112.9 140.3 Ryzen 9 3950X 15.5 105.7 140.5 OpenBenchmarking.org Watts, Fewer Is Better Embree 3.9.0 CPU Power Consumption Monitor 70 140 210 280 350 1. Core i5 10600K: Approximate power consumption of 5359 Joules per run. 2. Core i9 10900K: Approximate power consumption of 5735 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 2755 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 2235 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 2560 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 1868 Joules per run.
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.
Coremark This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Iterations/Sec, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 130K 260K 390K 520K 650K SE +/- 1437.69, N = 3 SE +/- 373.71, N = 3 SE +/- 74.83, N = 3 SE +/- 6007.68, N = 3 SE +/- 319.78, N = 3 SE +/- 1022.82, N = 3 279811.07 518904.50 267916.99 366666.46 517750.10 586752.81 1. (CC) gcc options: -O2 -lrt" -lrt Iterations/Sec Per Watt
OpenBenchmarking.org Iterations/Sec Per Watt, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 1200 2400 3600 4800 6000 3450.36 3467.51 4401.08 5239.50 4681.09 5747.55 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4268 4806 Core i9 10900K 800 4470 5131 Ryzen 5 3600X 2199 3921 4342 Ryzen 7 3700X 2201 4044 4393 Ryzen 9 3900X 2794 3982 4507 Ryzen 9 3950X 2199 4046 4599 OpenBenchmarking.org Megahertz, More Is Better Coremark 1.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 6.8 81.1 107.7 Core i9 10900K 4.1 149.6 242.8 Ryzen 5 3600X 15.8 60.9 72.7 Ryzen 7 3700X 14.7 70.0 82.3 Ryzen 9 3900X 15.0 110.6 134.4 Ryzen 9 3950X 15.2 102.1 129.2 OpenBenchmarking.org Watts, Fewer Is Better Coremark 1.0 CPU Power Consumption Monitor 60 120 180 240 300 1. Core i5 10600K: Approximate power consumption of 3217 Joules per run. 2. Core i9 10900K: Approximate power consumption of 3192 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 933 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 1400 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 1548 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 1225 Joules per run.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 40 80 120 160 200 SE +/- 0.26, N = 6 SE +/- 1.02, N = 8 SE +/- 0.43, N = 6 SE +/- 0.54, N = 6 SE +/- 0.70, N = 8 SE +/- 0.89, N = 9 74.35 127.81 76.66 94.89 137.48 162.83 1. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better x264 2019-12-17 H.264 Video Encoding Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.486 0.972 1.458 1.944 2.43 1.15 1.20 1.25 1.67 1.73 2.16 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 3468 4801 Core i9 10900K 800 3456 5108 Ryzen 5 3600X 2200 3486 4315 Ryzen 7 3700X 2200 3451 4334 Ryzen 9 3900X 2196 3322 4292 Ryzen 9 3950X 2197 3657 4484 OpenBenchmarking.org Megahertz, More Is Better x264 2019-12-17 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 64.8 115.4 Core i9 10900K 3.7 106.9 270.2 Ryzen 5 3600X 14.5 61.3 87.0 Ryzen 7 3700X 14.8 56.8 88.0 Ryzen 9 3900X 15.9 79.5 141.9 Ryzen 9 3950X 15.2 75.2 145.2 OpenBenchmarking.org Watts, Fewer Is Better x264 2019-12-17 CPU Power Consumption Monitor 70 140 210 280 350 1. Core i5 10600K: Approximate power consumption of 637 Joules per run. 2. Core i9 10900K: Approximate power consumption of 682 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 327 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 256 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 268 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 217 Joules per run.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 1.1855 2.371 3.5565 4.742 5.9275 SE +/- 0.008, N = 3 SE +/- 0.013, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.012, N = 3 SE +/- 0.019, N = 4 2.554 4.292 2.432 3.238 4.397 5.269 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 4 - Input: 1080p Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.0113 0.0226 0.0339 0.0452 0.0565 0.03 0.03 0.03 0.04 0.04 0.05 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4256 4803 Core i9 10900K 800 4454 5262 Ryzen 5 3600X 2202 3928 4172 Ryzen 7 3700X 2201 3947 4346 Ryzen 9 3900X 2196 3739 4226 Ryzen 9 3950X 2198 3968 4589 OpenBenchmarking.org Megahertz, More Is Better SVT-AV1 0.8 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 87.5 128.7 Core i9 10900K 3.8 162.1 306.1 Ryzen 5 3600X 13.2 74.0 92.9 Ryzen 7 3700X 11.9 74.2 88.1 Ryzen 9 3900X 4.1 109.1 141.9 Ryzen 9 3950X 12.7 104.7 145.4 OpenBenchmarking.org Watts, Fewer Is Better SVT-AV1 0.8 CPU Power Consumption Monitor 80 160 240 320 400 1. Core i5 10600K: Approximate power consumption of 2711 Joules per run. 2. Core i9 10900K: Approximate power consumption of 3026 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 1257 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 964 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 1055 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 838 Joules per run.
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.
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.
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.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 200 400 600 800 1000 SE +/- 0.80, N = 3 SE +/- 1.09, N = 3 SE +/- 0.77, N = 3 SE +/- 0.37, N = 3 SE +/- 1.68, N = 3 SE +/- 1.48, N = 3 411.19 702.43 419.65 536.15 669.23 836.22 1. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++ FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better TTSIOD 3D Renderer 2.3b Phong Rendering With Soft-Shadow Mapping Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 3 6 9 12 15 5.25 4.77 6.94 8.98 6.94 10.07 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4149 4754 Core i9 10900K 800 4420 4932 Ryzen 5 3600X 2199 3905 4173 Ryzen 7 3700X 2200 3975 4223 Ryzen 9 3900X 2196 3837 4117 Ryzen 9 3950X 2197 3942 4219 OpenBenchmarking.org Megahertz, More Is Better TTSIOD 3D Renderer 2.3b CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.7 78.3 102.0 Core i9 10900K 3.7 147.3 220.0 Ryzen 5 3600X 15.5 60.4 66.5 Ryzen 7 3700X 14.7 59.7 68.0 Ryzen 9 3900X 17.7 96.4 107.2 Ryzen 9 3950X 15.0 83.0 99.9 OpenBenchmarking.org Watts, Fewer Is Better TTSIOD 3D Renderer 2.3b CPU Power Consumption Monitor 60 120 180 240 300 1. Core i5 10600K: Approximate power consumption of 2453 Joules per run. 2. Core i9 10900K: Approximate power consumption of 3044 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 1048 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 856 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 1124 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 830 Joules per run.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 3 6 9 12 15 SE +/- 0.00, 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 = 4 6.51 11.09 6.28 7.93 11.01 12.64 Images / Sec Per Watt
OpenBenchmarking.org Images / Sec Per Watt, More Is Better Intel Open Image Denoise 1.2.0 Scene: Memorial Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.0293 0.0586 0.0879 0.1172 0.1465 0.07 0.06 0.08 0.11 0.09 0.13 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4121 4646 Core i9 10900K 800 4415 4984 Ryzen 5 3600X 2200 3905 4196 Ryzen 7 3700X 2201 3902 4214 Ryzen 9 3900X 2195 3591 4037 Ryzen 9 3950X 2198 3777 4050 OpenBenchmarking.org Megahertz, More Is Better Intel Open Image Denoise 1.2.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 98.3 127.7 Core i9 10900K 3.7 197.0 310.7 Ryzen 5 3600X 14.7 76.8 86.4 Ryzen 7 3700X 15.1 74.4 85.8 Ryzen 9 3900X 14.7 118.4 141.8 Ryzen 9 3950X 14.9 99.8 125.4 OpenBenchmarking.org Watts, Fewer Is Better Intel Open Image Denoise 1.2.0 CPU Power Consumption Monitor 80 160 240 320 400 1. Core i5 10600K: Approximate power consumption of 2786 Joules per run. 2. Core i9 10900K: Approximate power consumption of 3152 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 1229 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 967 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 1066 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 774 Joules per run.
Zstd Compression This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.5 Compression Level: 3 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 1000 2000 3000 4000 5000 SE +/- 14.06, N = 3 SE +/- 25.40, N = 3 SE +/- 11.22, N = 3 SE +/- 56.08, N = 4 SE +/- 3.12, N = 3 SE +/- 64.19, N = 3 2260.4 2871.4 4494.8 4045.1 4497.3 4070.6 1. (CC) gcc options: -O3 -pthread -lz -llzma MB/s Per Watt
OpenBenchmarking.org MB/s Per Watt, More Is Better Zstd Compression 1.4.5 Compression Level: 3 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 20 40 60 80 100 57.61 46.38 101.41 104.79 68.18 74.67 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4324 4806 Core i9 10900K 800 4624 5308 Ryzen 5 3600X 2199 4049 4400 Ryzen 7 3700X 2200 4155 4409 Ryzen 9 3900X 2197 4111 4605 Ryzen 9 3950X 2197 4153 4645 OpenBenchmarking.org Megahertz, More Is Better Zstd Compression 1.4.5 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.7 39.2 71.6 Core i9 10900K 4.0 61.9 144.2 Ryzen 5 3600X 11.8 44.3 64.8 Ryzen 7 3700X 14.3 38.6 58.3 Ryzen 9 3900X 15.6 66.0 99.5 Ryzen 9 3950X 9.8 54.5 83.5 OpenBenchmarking.org Watts, Fewer Is Better Zstd Compression 1.4.5 CPU Power Consumption Monitor 40 80 120 160 200 1. Core i5 10600K: Approximate power consumption of 994 Joules per run. 2. Core i9 10900K: Approximate power consumption of 1383 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 635 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 531 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 836 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 672 Joules per run.
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 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 2.15, N = 12 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 57.03 83.87 42.64 49.91 53.62 51.16 1. (CXX) g++ options: -O3 -lpthread FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better libgav1 2019-10-05 Video Input: Chimera 1080p Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.225 0.45 0.675 0.9 1.125 0.86 0.75 0.82 1.00 0.66 0.79 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4420 4709 Core i9 10900K 800 4619 5001 Ryzen 5 3600X 2200 3896 4311 Ryzen 7 3700X 2201 3803 4304 Ryzen 9 3900X 2196 3826 4370 Ryzen 9 3950X 2200 3820 4381 OpenBenchmarking.org Megahertz, More Is Better libgav1 2019-10-05 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.7 66.2 81.7 Core i9 10900K 3.8 112.5 169.6 Ryzen 5 3600X 14.7 52.0 56.4 Ryzen 7 3700X 14.6 49.9 55.6 Ryzen 9 3900X 15.4 81.4 92.1 Ryzen 9 3950X 13.6 65.0 74.4 OpenBenchmarking.org Watts, Fewer Is Better libgav1 2019-10-05 CPU Power Consumption Monitor 50 100 150 200 250 1. Core i5 10600K: Approximate power consumption of 8672 Joules per run. 2. Core i9 10900K: Approximate power consumption of 9058 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 5014 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 3973 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 5644 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 4442 Joules per run.
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.
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 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 30 60 90 120 150 SE +/- 0.23, N = 3 SE +/- 0.26, N = 3 SE +/- 0.04, N = 3 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 89.51 135.56 70.30 73.62 82.49 78.81 1. (CXX) g++ options: -O3 -lpthread FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better libgav1 2019-10-05 Video Input: Summer Nature 1080p Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.4005 0.801 1.2015 1.602 2.0025 1.59 1.38 1.48 1.78 1.21 1.45 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4238 4551 Core i9 10900K 800 4453 4900 Ryzen 5 3600X 2200 3770 4257 Ryzen 7 3700X 2201 3834 4325 Ryzen 9 3900X 2196 3777 4282 Ryzen 9 3950X 2196 3619 4236 OpenBenchmarking.org Megahertz, More Is Better libgav1 2019-10-05 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.5 56.3 74.5 Core i9 10900K 3.6 98.1 155.9 Ryzen 5 3600X 17.0 47.5 54.2 Ryzen 7 3700X 14.7 41.4 47.5 Ryzen 9 3900X 15.7 68.3 80.9 Ryzen 9 3950X 15.6 54.4 63.1 OpenBenchmarking.org Watts, Fewer Is Better libgav1 2019-10-05 CPU Power Consumption Monitor 40 80 120 160 200 1. Core i5 10600K: Approximate power consumption of 2063 Joules per run. 2. Core i9 10900K: Approximate power consumption of 2223 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 1204 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 966 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 1344 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 1051 Joules per run.
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.
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 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 40 80 120 160 200 SE +/- 0.32, N = 7 SE +/- 0.32, N = 9 SE +/- 0.41, N = 7 SE +/- 0.43, N = 7 SE +/- 0.47, N = 9 SE +/- 0.55, N = 9 110.20 183.24 107.81 113.28 180.38 203.16 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-VP9 0.1 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.7673 1.5346 2.3019 3.0692 3.8365 1.96 1.90 1.95 2.17 2.50 3.41 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 3457 4785 Core i9 10900K 800 3555 5028 Ryzen 5 3600X 2200 3293 4149 Ryzen 7 3700X 2200 3342 4303 Ryzen 9 3900X 2196 3002 4244 Ryzen 9 3950X 2197 3372 4470 OpenBenchmarking.org Megahertz, More Is Better SVT-VP9 0.1 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.5 56.3 111.9 Core i9 10900K 3.4 96.6 257.9 Ryzen 5 3600X 14.4 55.2 84.1 Ryzen 7 3700X 14.9 52.1 80.7 Ryzen 9 3900X 14.3 72.3 137.9 Ryzen 9 3950X 14.1 59.6 134.4 OpenBenchmarking.org Watts, Fewer Is Better SVT-VP9 0.1 CPU Power Consumption Monitor 70 140 210 280 350 1. Core i5 10600K: Approximate power consumption of 490 Joules per run. 2. Core i9 10900K: Approximate power consumption of 612 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 245 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 216 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 225 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 172 Joules per run.
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 2020.1 Water Benchmark Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.2777 0.5554 0.8331 1.1108 1.3885 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 0.657 0.969 0.717 0.803 1.125 1.234 1. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm Ns Per Day Per Watt
OpenBenchmarking.org Ns Per Day Per Watt, More Is Better GROMACS 2020.1 Water Benchmark Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.0023 0.0046 0.0069 0.0092 0.0115 0.01 0.01 0.01 0.01 0.01 0.01 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4450 4552 Core i9 10900K 800 4824 4910 Ryzen 5 3600X 2200 4116 4230 Ryzen 7 3700X 2200 4204 4272 Ryzen 9 3900X 2196 3980 4113 Ryzen 9 3950X 2198 4118 4266 OpenBenchmarking.org Megahertz, More Is Better GROMACS 2020.1 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 85.8 105.5 Core i9 10900K 4.1 174.2 271.1 Ryzen 5 3600X 7.0 70.8 74.9 Ryzen 7 3700X 14.3 67.8 81.8 Ryzen 9 3900X 16.9 116.2 139.8 Ryzen 9 3950X 14.5 107.2 145.2 OpenBenchmarking.org Watts, Fewer Is Better GROMACS 2020.1 CPU Power Consumption Monitor 70 140 210 280 350 1. Core i5 10600K: Approximate power consumption of 18996 Joules per run. 2. Core i9 10900K: Approximate power consumption of 23633 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 7954 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 6604 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 7708 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 6182 Joules per run.
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.
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 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 160 320 480 640 800 SE +/- 1.19, N = 3 SE +/- 1.50, N = 3 SE +/- 1.20, N = 3 SE +/- 2.16, N = 3 SE +/- 1.86, N = 3 SE +/- 0.22, N = 3 462.25 744.41 409.71 456.50 542.90 586.97 MIN: 417.41 / MAX: 501.71 MIN: 628.76 / MAX: 811.79 MIN: 337.41 / MAX: 445.91 MIN: 381.16 / MAX: 498.47 MIN: 413.16 / MAX: 591.35 MIN: 421.74 / MAX: 636.72 1. (CC) gcc options: -pthread FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better dav1d 0.7.0 Video Input: Summer Nature 1080p Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 3 6 9 12 15 9.89 12.25 8.82 11.37 8.46 11.64 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4372 4808 Core i9 10900K 800 4659 5139 Ryzen 5 3600X 2200 4017 4252 Ryzen 7 3700X 2201 4056 4376 Ryzen 9 3900X 2197 3940 4255 Ryzen 9 3950X 2198 4066 4379 OpenBenchmarking.org Megahertz, More Is Better dav1d 0.7.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 4.0 46.7 102.3 Core i9 10900K 3.7 60.8 219.0 Ryzen 5 3600X 16.7 46.5 72.4 Ryzen 7 3700X 14.7 39.8 68.3 Ryzen 9 3900X 16.6 64.2 108.5 Ryzen 9 3950X 15.9 50.4 94.2 OpenBenchmarking.org Watts, Fewer Is Better dav1d 0.7.0 CPU Power Consumption Monitor 60 120 180 240 300 1. Core i5 10600K: Approximate power consumption of 1293 Joules per run. 2. Core i9 10900K: Approximate power consumption of 1378 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 604 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 504 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 728 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 521 Joules per run.
XZ Compression This test measures the time needed to compress a sample file (an Ubuntu file-system image) using XZ compression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better XZ Compression 5.2.4 Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 9 18 27 36 45 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 40.60 22.38 39.67 30.73 25.25 24.17 1. (CC) gcc options: -pthread -fvisibility=hidden -O2 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4235 4800 Core i9 10900K 800 4483 5120 Ryzen 5 3600X 2200 4005 4323 Ryzen 7 3700X 2200 4003 4402 Ryzen 9 3900X 2196 3846 4097 Ryzen 9 3950X 2202 4075 4236 OpenBenchmarking.org Megahertz, More Is Better XZ Compression 5.2.4 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 58.4 93.3 Core i9 10900K 3.8 113.3 205.3 Ryzen 5 3600X 12.6 52.8 67.5 Ryzen 7 3700X 14.8 50.9 68.8 Ryzen 9 3900X 15.8 85.7 105.9 Ryzen 9 3950X 15.8 76.2 95.3 OpenBenchmarking.org Watts, Fewer Is Better XZ Compression 5.2.4 CPU Power Consumption Monitor 60 120 180 240 300 1. Core i5 10600K: Approximate power consumption of 2101 Joules per run. 2. Core i9 10900K: Approximate power consumption of 2153 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 1022 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 763 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 1029 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 813 Joules per run.
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 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 200 400 600 800 1000 SE +/- 1.17, N = 3 SE +/- 1.07, N = 3 SE +/- 0.44, N = 3 SE +/- 1.28, N = 3 SE +/- 1.75, N = 3 SE +/- 0.12, N = 3 479.35 797.52 448.56 501.15 585.40 628.76 MIN: 362.28 / MAX: 765.22 MIN: 615.51 / MAX: 1084.45 MIN: 338.91 / MAX: 676.01 MIN: 384.14 / MAX: 699.58 MIN: 460.81 / MAX: 719.57 MIN: 487.83 / MAX: 786.29 1. (CC) gcc options: -pthread FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better dav1d 0.7.0 Video Input: Chimera 1080p Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 4 8 12 16 20 11.13 15.76 9.40 12.28 9.11 11.98 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4753 4828 Core i9 10900K 800 5086 5144 Ryzen 5 3600X 2200 4232 4326 Ryzen 7 3700X 2202 4295 4389 Ryzen 9 3900X 2197 4196 4290 Ryzen 9 3950X 2199 4405 4507 OpenBenchmarking.org Megahertz, More Is Better dav1d 0.7.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 43.1 101.8 Core i9 10900K 3.6 50.6 229.2 Ryzen 5 3600X 15.9 47.7 71.5 Ryzen 7 3700X 12.0 40.8 71.5 Ryzen 9 3900X 16.1 64.3 110.3 Ryzen 9 3950X 16.0 52.5 95.9 OpenBenchmarking.org Watts, Fewer Is Better dav1d 0.7.0 CPU Power Consumption Monitor 60 120 180 240 300 1. Core i5 10600K: Approximate power consumption of 14515 Joules per run. 2. Core i9 10900K: Approximate power consumption of 15053 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 6250 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 4979 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 7498 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 5477 Joules per run.
Zstd Compression This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.5 Compression Level: 19 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 9 18 27 36 45 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 22.8 30.3 26.5 31.2 38.8 39.5 1. (CC) gcc options: -O3 -pthread -lz -llzma MB/s Per Watt
OpenBenchmarking.org MB/s Per Watt, More Is Better Zstd Compression 1.4.5 Compression Level: 19 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.1575 0.315 0.4725 0.63 0.7875 0.44 0.35 0.55 0.70 0.51 0.60 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4419 4809 Core i9 10900K 800 4769 5298 Ryzen 5 3600X 2201 4172 4406 Ryzen 7 3700X 2200 4185 4406 Ryzen 9 3900X 2197 4063 4514 Ryzen 9 3950X 2197 4152 4592 OpenBenchmarking.org Megahertz, More Is Better Zstd Compression 1.4.5 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 51.4 66.2 Core i9 10900K 3.7 86.4 132.0 Ryzen 5 3600X 16.6 48.5 53.7 Ryzen 7 3700X 15.0 44.4 50.9 Ryzen 9 3900X 16.4 76.3 88.7 Ryzen 9 3950X 15.0 65.6 77.8 OpenBenchmarking.org Watts, Fewer Is Better Zstd Compression 1.4.5 CPU Power Consumption Monitor 40 80 120 160 200 1. Core i5 10600K: Approximate power consumption of 4646 Joules per run. 2. Core i9 10900K: Approximate power consumption of 5498 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 2135 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 1673 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 2288 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 1815 Joules per run.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 40 80 120 160 200 SE +/- 0.05, N = 3 SE +/- 0.18, N = 3 SE +/- 0.35, N = 3 SE +/- 0.13, N = 3 SE +/- 0.33, N = 3 SE +/- 0.46, N = 3 117.65 186.68 144.15 166.34 197.17 203.35 MIN: 112.14 / MAX: 126.03 MIN: 159.96 / MAX: 194.54 MIN: 136.05 / MAX: 159.18 MIN: 150.66 / MAX: 178.69 MIN: 161.59 / MAX: 209.51 MIN: 149.9 / MAX: 211.28 1. (CC) gcc options: -pthread FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better dav1d 0.7.0 Video Input: Summer Nature 4K Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.6638 1.3276 1.9914 2.6552 3.319 1.81 1.85 2.37 2.95 2.34 2.83 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4405 4808 Core i9 10900K 800 4746 5135 Ryzen 5 3600X 2200 4055 4321 Ryzen 7 3700X 2201 4149 4371 Ryzen 9 3900X 2196 3992 4377 Ryzen 9 3950X 2197 4085 4374 OpenBenchmarking.org Megahertz, More Is Better dav1d 0.7.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 65.1 108.7 Core i9 10900K 3.8 101.0 247.5 Ryzen 5 3600X 15.0 60.9 83.3 Ryzen 7 3700X 14.6 56.4 85.1 Ryzen 9 3900X 16.1 84.3 131.4 Ryzen 9 3950X 14.4 71.9 123.4 OpenBenchmarking.org Watts, Fewer Is Better dav1d 0.7.0 CPU Power Consumption Monitor 60 120 180 240 300 1. Core i5 10600K: Approximate power consumption of 3016 Joules per run. 2. Core i9 10900K: Approximate power consumption of 3301 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 1258 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 1052 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 1321 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 1055 Joules per run.
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.
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 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 50 100 150 200 250 SE +/- 0.08, N = 7 SE +/- 0.16, N = 9 SE +/- 0.07, N = 7 SE +/- 0.27, N = 8 SE +/- 0.17, N = 9 SE +/- 0.17, N = 9 129.57 205.20 129.31 138.75 199.83 216.13 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-VP9 0.1 Tuning: VMAF Optimized - Input: Bosphorus 1080p Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.9068 1.8136 2.7204 3.6272 4.534 2.65 2.54 2.67 3.11 2.86 4.03 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 3456 4771 Core i9 10900K 800 3102 5016 Ryzen 5 3600X 2200 3420 4248 Ryzen 7 3700X 2200 3305 4335 Ryzen 9 3900X 2196 2942 4124 Ryzen 9 3950X 2197 3607 4453 OpenBenchmarking.org Megahertz, More Is Better SVT-VP9 0.1 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.5 48.9 102.7 Core i9 10900K 3.8 80.9 238.4 Ryzen 5 3600X 15.1 48.4 81.0 Ryzen 7 3700X 14.0 44.6 74.5 Ryzen 9 3900X 15.3 69.8 127.0 Ryzen 9 3950X 14.5 53.7 121.9 OpenBenchmarking.org Watts, Fewer Is Better SVT-VP9 0.1 CPU Power Consumption Monitor 60 120 180 240 300 1. Core i5 10600K: Approximate power consumption of 391 Joules per run. 2. Core i9 10900K: Approximate power consumption of 467 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 193 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 167 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 209 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 155 Joules per run.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 50 100 150 200 250 SE +/- 0.07, N = 8 SE +/- 0.07, N = 9 SE +/- 0.19, N = 8 SE +/- 0.13, N = 8 SE +/- 0.23, N = 9 SE +/- 0.19, N = 9 132.76 209.88 133.75 144.43 204.70 220.38 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-VP9 0.1 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.918 1.836 2.754 3.672 4.59 2.62 2.46 2.78 3.23 2.81 4.08 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 3475 4792 Core i9 10900K 800 3631 5118 Ryzen 5 3600X 2200 3237 4143 Ryzen 7 3700X 2201 3127 4267 Ryzen 9 3900X 2196 2997 4104 Ryzen 9 3950X 2196 3626 4414 OpenBenchmarking.org Megahertz, More Is Better SVT-VP9 0.1 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.2 50.6 105.4 Core i9 10900K 3.7 85.3 241.1 Ryzen 5 3600X 15.0 48.2 80.7 Ryzen 7 3700X 11.5 44.7 75.8 Ryzen 9 3900X 16.0 72.8 116.0 Ryzen 9 3950X 9.3 54.1 122.9 OpenBenchmarking.org Watts, Fewer Is Better SVT-VP9 0.1 CPU Power Consumption Monitor 60 120 180 240 300 1. Core i5 10600K: Approximate power consumption of 405 Joules per run. 2. Core i9 10900K: Approximate power consumption of 512 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 193 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 162 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 226 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 156 Joules per run.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 16M 32M 48M 64M 80M SE +/- 702104.04, N = 3 SE +/- 1123487.98, N = 4 SE +/- 522538.77, N = 3 SE +/- 788486.67, N = 3 SE +/- 477700.07, N = 3 SE +/- 685711.59, N = 15 54979693.48 76937535.16 46707990.84 55978969.99 68044090.68 76328411.69 MIN: 932957 / MAX: 364875336 MIN: 1412473 / MAX: 783291744 MIN: 838142 / MAX: 310054968 MIN: 721342 / MAX: 443409048 MIN: 733008 / MAX: 638983800 MIN: 1004478 / MAX: 877757976 Items / Sec Per Watt
OpenBenchmarking.org Items / Sec Per Watt, More Is Better OpenVKL 0.9 Benchmark: vklBenchmarkStructuredVolume Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 300K 600K 900K 1200K 1500K 1026331.76 926547.31 932331.10 1256647.01 902589.96 1252392.91 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4500 4809 Core i9 10900K 800 4818 5297 Ryzen 5 3600X 2200 4077 4380 Ryzen 7 3700X 2200 4147 4414 Ryzen 9 3900X 2196 4101 4420 Ryzen 9 3950X 2196 4198 4580 OpenBenchmarking.org Megahertz, More Is Better OpenVKL 0.9 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.5 53.6 124.0 Core i9 10900K 3.7 83.0 284.1 Ryzen 5 3600X 16.3 50.1 84.2 Ryzen 7 3700X 15.2 44.5 83.1 Ryzen 9 3900X 17.7 75.4 137.8 Ryzen 9 3950X 14.6 60.9 144.9 OpenBenchmarking.org Watts, Fewer Is Better OpenVKL 0.9 CPU Power Consumption Monitor 70 140 210 280 350 1. Core i5 10600K: Approximate power consumption of 2446 Joules per run. 2. Core i9 10900K: Approximate power consumption of 3321 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 1386 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 1203 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 1885 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 1381 Joules per run.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 8 16 24 32 40 SE +/- 0.01, N = 3 SE +/- 0.28, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 22.15 34.74 21.20 23.52 24.76 24.34 1. (CXX) g++ options: -O3 -lpthread FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better libgav1 2019-10-05 Video Input: Summer Nature 4K Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.0945 0.189 0.2835 0.378 0.4725 0.34 0.29 0.36 0.42 0.28 0.34 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4439 4796 Core i9 10900K 800 4799 4904 Ryzen 5 3600X 2200 4060 4224 Ryzen 7 3700X 2201 4164 4324 Ryzen 9 3900X 2197 4048 4291 Ryzen 9 3950X 2197 4104 4387 OpenBenchmarking.org Megahertz, More Is Better libgav1 2019-10-05 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 65.6 83.1 Core i9 10900K 3.8 121.2 176.6 Ryzen 5 3600X 14.6 58.2 62.9 Ryzen 7 3700X 15.2 55.8 61.8 Ryzen 9 3900X 15.1 87.9 96.0 Ryzen 9 3950X 15.4 72.4 81.0 OpenBenchmarking.org Watts, Fewer Is Better libgav1 2019-10-05 CPU Power Consumption Monitor 50 100 150 200 250 1. Core i5 10600K: Approximate power consumption of 9094 Joules per run. 2. Core i9 10900K: Approximate power consumption of 9613 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 4654 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 3891 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 5478 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 4293 Joules per run.
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.
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
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.
High Performance Conjugate Gradient HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org GFLOP/s, More Is Better High Performance Conjugate Gradient 3.1 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 1.1509 2.3018 3.4527 4.6036 5.7545 SE +/- 0.00111, N = 3 SE +/- 0.00489, N = 3 SE +/- 0.00234, N = 3 SE +/- 0.00199, N = 3 SE +/- 0.00207, N = 3 SE +/- 0.00447, N = 3 3.18131 4.36385 4.79938 4.28749 5.11492 4.57087 1. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi GFLOP/s Per Watt
OpenBenchmarking.org GFLOP/s Per Watt, More Is Better High Performance Conjugate Gradient 3.1 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.0203 0.0406 0.0609 0.0812 0.1015 0.05 0.04 0.09 0.08 0.06 0.06 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4436 4561 Core i9 10900K 800 4845 5068 Ryzen 5 3600X 2200 4126 4254 Ryzen 7 3700X 2200 4237 4303 Ryzen 9 3900X 2204 4049 4111 Ryzen 9 3950X 2200 4169 4286 OpenBenchmarking.org Megahertz, More Is Better High Performance Conjugate Gradient 3.1 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.5 58.4 69.4 Core i9 10900K 3.9 108.9 148.3 Ryzen 5 3600X 12.6 56.4 61.7 Ryzen 7 3700X 14.6 52.1 58.8 Ryzen 9 3900X 15.3 92.7 99.3 Ryzen 9 3950X 15.7 79.8 88.3 OpenBenchmarking.org Watts, Fewer Is Better High Performance Conjugate Gradient 3.1 CPU Power Consumption Monitor 40 80 120 160 200 1. Core i5 10600K: Approximate power consumption of 8588 Joules per run. 2. Core i9 10900K: Approximate power consumption of 17136 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 3704 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 4013 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 8374 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 7795 Joules per run.
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.
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.
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.
C-Blosc A simple, compressed, fast and persistent data store library for C. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.0 Beta 5 Compressor: blosclz Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 2K 4K 6K 8K 10K SE +/- 6.31, N = 3 SE +/- 10.24, N = 3 SE +/- 35.62, N = 3 SE +/- 12.00, N = 3 SE +/- 16.81, N = 3 SE +/- 15.61, N = 3 8053.5 10883.4 11158.2 11112.0 11588.9 11277.8 1. (CXX) g++ options: -rdynamic MB/s Per Watt
OpenBenchmarking.org MB/s Per Watt, More Is Better C-Blosc 2.0 Beta 5 Compressor: blosclz Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 60 120 180 240 300 174.79 141.49 254.13 262.66 155.61 190.69 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4258 4805 Core i9 10900K 800 4545 5125 Ryzen 5 3600X 2201 4042 4400 Ryzen 7 3700X 2200 4055 4397 Ryzen 9 3900X 2196 4031 4540 Ryzen 9 3950X 2199 4056 4479 OpenBenchmarking.org Megahertz, More Is Better C-Blosc 2.0 Beta 5 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.7 46.1 70.1 Core i9 10900K 3.8 76.9 139.5 Ryzen 5 3600X 15.1 43.9 54.7 Ryzen 7 3700X 15.2 42.3 51.1 Ryzen 9 3900X 16.4 74.5 89.7 Ryzen 9 3950X 14.9 59.1 73.1 OpenBenchmarking.org Watts, Fewer Is Better C-Blosc 2.0 Beta 5 CPU Power Consumption Monitor 40 80 120 160 200 1. Core i5 10600K: Approximate power consumption of 1090 Joules per run. 2. Core i9 10900K: Approximate power consumption of 1923 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 439 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 522 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 1167 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 1163 Joules per run.
x265 This is a simple test of the x265 encoder run on the CPU with a sample 1080p video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.1.2 H.265 1080p Video Encoding Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 16 32 48 64 80 SE +/- 0.15, N = 4 SE +/- 0.24, N = 6 SE +/- 0.16, N = 4 SE +/- 0.59, N = 4 SE +/- 0.21, N = 5 SE +/- 0.12, N = 5 52.34 72.08 50.86 52.17 60.95 61.94 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better x265 3.1.2 H.265 1080p Video Encoding Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.2003 0.4006 0.6009 0.8012 1.0015 0.75 0.65 0.83 0.89 0.72 0.80 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 3617 4652 Core i9 10900K 800 3871 5061 Ryzen 5 3600X 2200 3586 4142 Ryzen 7 3700X 2200 3705 4258 Ryzen 9 3900X 2196 3603 4234 Ryzen 9 3950X 2198 3842 4274 OpenBenchmarking.org Megahertz, More Is Better x265 3.1.2 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 69.5 110.5 Core i9 10900K 3.8 111.3 226.3 Ryzen 5 3600X 14.8 61.0 79.3 Ryzen 7 3700X 14.5 58.9 81.6 Ryzen 9 3900X 14.6 84.1 121.1 Ryzen 9 3950X 15.1 77.5 105.1 OpenBenchmarking.org Watts, Fewer Is Better x265 3.1.2 CPU Power Consumption Monitor 60 120 180 240 300 1. Core i5 10600K: Approximate power consumption of 869 Joules per run. 2. Core i9 10900K: Approximate power consumption of 1002 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 427 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 383 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 488 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 403 Joules per run.
Meta Performance Per Watts OpenBenchmarking.org Performance Per Watts, More Is Better Meta Performance Per Watts Performance Per Watts Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3950X 200 400 600 800 1000 579.77 787.11 555.50 568.58 771.73
Nettle GNU Nettle is a low-level cryptographic library. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mbyte/s, More Is Better Nettle 3.5.1 Test: poly1305-aes Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 800 1600 2400 3200 4000 SE +/- 0.69, N = 14 SE +/- 2.46, N = 14 SE +/- 3.18, N = 14 SE +/- 1.13, N = 15 SE +/- 16.63, N = 14 SE +/- 11.97, N = 15 3512.03 3849.06 2719.29 2725.28 2755.18 2727.94 1. (CC) gcc options: -O2 -ggdb3 -lnettle -lgmp -lm -lcrypto Mbyte/s Per Watt
OpenBenchmarking.org Mbyte/s Per Watt, More Is Better Nettle 3.5.1 Test: poly1305-aes Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 90 180 270 360 450 394.72 381.05 141.17 136.30 118.41 143.66 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 1672 4804 Core i9 10900K 800 3410 5298 Ryzen 5 3600X 2199 2579 4400 Ryzen 7 3700X 2200 2321 2802 Ryzen 9 3900X 2196 2707 4623 Ryzen 9 3950X 2197 2591 4410 OpenBenchmarking.org Megahertz, More Is Better Nettle 3.5.1 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.5 8.9 19.4 Core i9 10900K 3.7 10.1 23.4 Ryzen 5 3600X 13.4 19.3 30.6 Ryzen 7 3700X 15.3 20.0 26.0 Ryzen 9 3900X 15.6 23.3 41.6 Ryzen 9 3950X 15.0 19.0 29.9 OpenBenchmarking.org Watts, Fewer Is Better Nettle 3.5.1 CPU Power Consumption Monitor 11 22 33 44 55 1. Core i5 10600K: Approximate power consumption of 32 Joules per run. 2. Core i9 10900K: Approximate power consumption of 33 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 40 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 41 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 43 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 34 Joules per run.
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 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 6K 12K 18K 24K 30K SE +/- 259.98, N = 3 SE +/- 385.64, N = 3 SE +/- 154.45, N = 3 SE +/- 149.95, N = 3 SE +/- 71.36, N = 3 SE +/- 95.66, N = 3 20793 26831 19006 19525 19299 20106 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm Mflops Per Watt
OpenBenchmarking.org Mflops Per Watt, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 4096 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 150 300 450 600 750 620.98 624.37 534.53 681.69 356.94 509.02 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4767 4815 Core i9 10900K 800 5205 5299 Ryzen 5 3600X 2200 4351 4473 Ryzen 7 3700X 2200 4365 4579 Ryzen 9 3900X 2196 4538 4709 Ryzen 9 3950X 2199 4330 4772 OpenBenchmarking.org Megahertz, More Is Better FFTW 3.3.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.5 33.5 44.4 Core i9 10900K 3.9 43.0 65.1 Ryzen 5 3600X 13.2 35.6 40.5 Ryzen 7 3700X 14.9 28.6 33.6 Ryzen 9 3900X 15.7 54.1 58.0 Ryzen 9 3950X 15.0 39.5 44.5 OpenBenchmarking.org Watts, Fewer Is Better FFTW 3.3.6 CPU Power Consumption Monitor 20 40 60 80 100 1. Core i5 10600K: Approximate power consumption of 9186 Joules per run. 2. Core i9 10900K: Approximate power consumption of 9382 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 6471 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 4840 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 8813 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 5899 Joules per run.
Nettle GNU Nettle is a low-level cryptographic library. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mbyte/s, More Is Better Nettle 3.5.1 Test: chacha Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 300 600 900 1200 1500 SE +/- 0.15, N = 11 SE +/- 0.27, N = 12 SE +/- 0.96, N = 11 SE +/- 0.53, N = 11 SE +/- 2.00, N = 12 SE +/- 3.83, N = 12 1279.37 1403.41 998.88 998.62 1038.38 1046.02 MIN: 646.83 / MAX: 3515.78 MIN: 708.56 / MAX: 3862.74 MIN: 504.83 / MAX: 2743.47 MIN: 508.6 / MAX: 2728.34 MIN: 525.36 / MAX: 2846.26 MIN: 524.67 / MAX: 2886.97 1. (CC) gcc options: -O2 -ggdb3 -lnettle -lgmp -lm -lcrypto Mbyte/s Per Watt
OpenBenchmarking.org Mbyte/s Per Watt, More Is Better Nettle 3.5.1 Test: chacha Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 20 40 60 80 100 93.41 92.93 45.85 51.83 38.18 46.29 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 2495 4806 Core i9 10900K 800 3564 5299 Ryzen 5 3600X 2200 2982 4419 Ryzen 7 3700X 2201 2957 4413 Ryzen 9 3900X 2196 2992 4622 Ryzen 9 3950X 2196 3186 4703 OpenBenchmarking.org Megahertz, More Is Better Nettle 3.5.1 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.5 13.7 33.3 Core i9 10900K 3.6 15.1 31.7 Ryzen 5 3600X 13.4 21.8 35.1 Ryzen 7 3700X 15.1 19.3 28.0 Ryzen 9 3900X 15.4 27.2 51.7 Ryzen 9 3950X 14.8 22.6 37.7 OpenBenchmarking.org Watts, Fewer Is Better Nettle 3.5.1 CPU Power Consumption Monitor 15 30 45 60 75 1. Core i5 10600K: Approximate power consumption of 65 Joules per run. 2. Core i9 10900K: Approximate power consumption of 62 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 55 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 47 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 63 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 49 Joules per run.
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 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 6 12 18 24 30 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 20.59 25.78 19.02 18.64 19.53 19.12 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Realtime Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.081 0.162 0.243 0.324 0.405 0.34 0.31 0.34 0.36 0.25 0.29 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4260 4806 Core i9 10900K 800 4495 5120 Ryzen 5 3600X 2200 3932 4247 Ryzen 7 3700X 2200 4062 4352 Ryzen 9 3900X 2196 4039 4574 Ryzen 9 3950X 2199 4115 4438 OpenBenchmarking.org Megahertz, More Is Better AOM AV1 2.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 60.2 85.3 Core i9 10900K 4.0 82.5 128.7 Ryzen 5 3600X 14.9 56.2 64.6 Ryzen 7 3700X 14.8 51.5 58.8 Ryzen 9 3900X 16.1 79.6 92.8 Ryzen 9 3950X 14.7 65.6 77.7 OpenBenchmarking.org Watts, Fewer Is Better AOM AV1 2.0 CPU Power Consumption Monitor 40 80 120 160 200 1. Core i5 10600K: Approximate power consumption of 1644 Joules per run. 2. Core i9 10900K: Approximate power consumption of 1649 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 900 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 806 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 1141 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 897 Joules per run.
Nettle GNU Nettle is a low-level cryptographic library. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mbyte/s, More Is Better Nettle 3.5.1 Test: aes256 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 2K 4K 6K 8K 10K SE +/- 3.30, N = 8 SE +/- 7.46, N = 8 SE +/- 5.34, N = 8 SE +/- 9.75, N = 8 SE +/- 43.07, N = 8 SE +/- 5.99, N = 8 7604.55 8326.78 6063.66 6177.26 6206.84 6134.63 MIN: 5126.7 / MAX: 12604.27 MIN: 5594.33 / MAX: 13828.8 MIN: 4375.56 / MAX: 9484.94 MIN: 4452.31 / MAX: 9641.65 MIN: 4375.11 / MAX: 9954.84 MIN: 4424.1 / MAX: 9573.15 1. (CC) gcc options: -O2 -ggdb3 -lnettle -lgmp -lm -lcrypto Mbyte/s Per Watt
OpenBenchmarking.org Mbyte/s Per Watt, More Is Better Nettle 3.5.1 Test: aes256 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 80 160 240 320 400 390.12 346.46 219.26 265.04 174.01 213.73 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 3057 4805 Core i9 10900K 800 3822 5298 Ryzen 5 3600X 2200 3449 4410 Ryzen 7 3700X 2200 3460 4408 Ryzen 9 3900X 2196 3410 4538 Ryzen 9 3950X 2197 3469 4409 OpenBenchmarking.org Megahertz, More Is Better Nettle 3.5.1 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 19.5 38.1 Core i9 10900K 3.7 24.0 55.0 Ryzen 5 3600X 11.6 27.7 38.0 Ryzen 7 3700X 14.1 23.3 29.9 Ryzen 9 3900X 16.4 35.7 52.8 Ryzen 9 3950X 15.1 28.7 39.3 OpenBenchmarking.org Watts, Fewer Is Better Nettle 3.5.1 CPU Power Consumption Monitor 15 30 45 60 75 1. Core i5 10600K: Approximate power consumption of 127 Joules per run. 2. Core i9 10900K: Approximate power consumption of 138 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 107 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 84 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 125 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 93 Joules per run.
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 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 4K 8K 12K 16K 20K SE +/- 108.13, N = 10 SE +/- 192.12, N = 10 SE +/- 68.66, N = 10 SE +/- 45.65, N = 10 SE +/- 106.99, N = 10 SE +/- 75.98, N = 10 18844 20633 15240 15686 15784 16142 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm Mflops Per Watt
OpenBenchmarking.org Mflops Per Watt, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 32 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 200 400 600 800 1000 1131.57 917.57 577.32 731.78 511.58 606.02 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 2468 4808 Core i9 10900K 800 3177 5298 Ryzen 5 3600X 2200 3100 4336 Ryzen 7 3700X 2200 3181 4410 Ryzen 9 3900X 2196 3199 4520 Ryzen 9 3950X 2196 3194 4565 OpenBenchmarking.org Megahertz, More Is Better FFTW 3.3.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 16.7 41.5 Core i9 10900K 3.6 22.5 60.8 Ryzen 5 3600X 13.7 26.4 38.1 Ryzen 7 3700X 14.2 21.4 30.7 Ryzen 9 3900X 14.6 30.9 53.5 Ryzen 9 3950X 14.4 26.6 41.8 OpenBenchmarking.org Watts, Fewer Is Better FFTW 3.3.6 CPU Power Consumption Monitor 20 40 60 80 100 1. Core i5 10600K: Approximate power consumption of 85 Joules per run. 2. Core i9 10900K: Approximate power consumption of 108 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 82 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 64 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 86 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 67 Joules per run.
Java Gradle Build This test runs Java software project builds using the Gradle build system. It is intended to give developers an idea as to the build performance for development activities and build servers. Learn more via the OpenBenchmarking.org test page.
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.
Darmstadt Automotive Parallel Heterogeneous Suite DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Euclidean Cluster Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 300 600 900 1200 1500 SE +/- 0.89, N = 3 SE +/- 0.16, N = 4 SE +/- 2.33, N = 3 SE +/- 2.19, N = 3 SE +/- 2.58, N = 3 SE +/- 8.21, N = 3 1220.59 1470.92 1101.96 1186.91 1229.47 1259.09 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp Test Cases Per Minute Per Watt
OpenBenchmarking.org Test Cases Per Minute Per Watt, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Euclidean Cluster Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 7 14 21 28 35 27.52 21.77 24.42 29.48 21.32 20.54 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4120 4804 Core i9 10900K 800 4370 5135 Ryzen 5 3600X 2200 3890 4203 Ryzen 7 3700X 2201 4009 4323 Ryzen 9 3900X 2791 4058 4401 Ryzen 9 3950X 2795 3986 4352 OpenBenchmarking.org Megahertz, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 44.3 67.8 Core i9 10900K 3.7 67.6 137.1 Ryzen 5 3600X 15.2 45.1 51.9 Ryzen 7 3700X 14.2 40.3 47.4 Ryzen 9 3900X 14.7 57.7 75.2 Ryzen 9 3950X 15.7 61.3 70.7 OpenBenchmarking.org Watts, Fewer Is Better Darmstadt Automotive Parallel Heterogeneous Suite CPU Power Consumption Monitor 40 80 120 160 200 1. Core i5 10600K: Approximate power consumption of 798 Joules per run. 2. Core i9 10900K: Approximate power consumption of 929 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 481 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 403 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 519 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 511 Joules per run.
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 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 13K 26K 39K 52K 65K SE +/- 345.35, N = 9 SE +/- 482.94, N = 9 SE +/- 65.47, N = 8 SE +/- 63.28, N = 8 SE +/- 125.97, N = 9 SE +/- 270.98, N = 8 54340 60020 45250 46018 47059 46091 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm Mflops Per Watt
OpenBenchmarking.org Mflops Per Watt, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 32 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 600 1200 1800 2400 3000 2704.00 2430.31 1701.42 1989.25 1444.90 1816.90 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 2781 4808 Core i9 10900K 800 3615 5298 Ryzen 5 3600X 2200 3428 4313 Ryzen 7 3700X 2200 3261 4415 Ryzen 9 3900X 2196 3354 4532 Ryzen 9 3950X 2197 3377 4484 OpenBenchmarking.org Megahertz, More Is Better FFTW 3.3.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 20.1 43.9 Core i9 10900K 3.6 24.7 66.9 Ryzen 5 3600X 12.8 26.6 38.5 Ryzen 7 3700X 12.2 23.1 32.1 Ryzen 9 3900X 14.8 32.6 52.8 Ryzen 9 3950X 9.2 25.4 41.7 OpenBenchmarking.org Watts, Fewer Is Better FFTW 3.3.6 CPU Power Consumption Monitor 20 40 60 80 100 1. Core i5 10600K: Approximate power consumption of 116 Joules per run. 2. Core i9 10900K: Approximate power consumption of 123 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 93 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 78 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 105 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 76 Joules per run.
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 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 11 22 33 44 55 SE +/- 0.07, N = 4 SE +/- 0.26, N = 4 SE +/- 0.07, N = 4 SE +/- 0.16, N = 3 SE +/- 0.24, N = 4 SE +/- 0.26, N = 4 42.90 48.95 37.98 36.96 38.04 37.74 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better AOM AV1 2.0 Encoder Mode: Speed 8 Realtime Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.2565 0.513 0.7695 1.026 1.2825 1.14 1.04 0.93 1.07 0.61 0.83 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 3955 4806 Core i9 10900K 800 4074 5127 Ryzen 5 3600X 2200 3793 4328 Ryzen 7 3700X 2200 3843 4388 Ryzen 9 3900X 2196 3997 4462 Ryzen 9 3950X 2199 4046 4446 OpenBenchmarking.org Megahertz, More Is Better AOM AV1 2.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 37.7 55.8 Core i9 10900K 3.9 46.8 78.4 Ryzen 5 3600X 16.4 40.9 49.1 Ryzen 7 3700X 12.5 34.5 42.4 Ryzen 9 3900X 16.1 62.0 75.8 Ryzen 9 3950X 15.0 45.6 55.6 OpenBenchmarking.org Watts, Fewer Is Better AOM AV1 2.0 CPU Power Consumption Monitor 20 40 60 80 100 1. Core i5 10600K: Approximate power consumption of 575 Joules per run. 2. Core i9 10900K: Approximate power consumption of 574 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 368 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 311 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 512 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 353 Joules per run.
PHPBench PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. The number of iterations used is 1,000,000. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Score, More Is Better PHPBench 0.8.1 PHP Benchmark Suite Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 200K 400K 600K 800K 1000K SE +/- 859.90, N = 4 SE +/- 1410.10, N = 5 SE +/- 3382.92, N = 4 SE +/- 2319.91, N = 4 SE +/- 9226.30, N = 4 SE +/- 8830.61, N = 4 821736 874067 667682 684258 680993 687734 Score Per Watt
OpenBenchmarking.org Score Per Watt, More Is Better PHPBench 0.8.1 PHP Benchmark Suite Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 6K 12K 18K 24K 30K 27767.55 25709.61 20229.18 24938.22 14931.73 18851.64 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 3868 4813 Core i9 10900K 800 4416 5137 Ryzen 5 3600X 2200 3873 4347 Ryzen 7 3700X 2200 3843 4416 Ryzen 9 3900X 2196 3872 4499 Ryzen 9 3950X 2198 3953 4534 OpenBenchmarking.org Megahertz, More Is Better PHPBench 0.8.1 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 29.6 44.9 Core i9 10900K 3.7 34.0 59.5 Ryzen 5 3600X 13.8 33.0 39.8 Ryzen 7 3700X 14.7 27.4 31.3 Ryzen 9 3900X 15.9 45.6 56.7 Ryzen 9 3950X 15.5 36.5 42.0 OpenBenchmarking.org Watts, Fewer Is Better PHPBench 0.8.1 CPU Power Consumption Monitor 16 32 48 64 80 1. Core i5 10600K: Approximate power consumption of 392 Joules per run. 2. Core i9 10900K: Approximate power consumption of 381 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 281 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 220 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 353 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 264 Joules per run.
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.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 15 30 45 60 75 SE +/- 0.02, N = 3 SE +/- 0.16, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 68.53 54.35 64.58 59.59 54.65 53.06 1. RawTherapee, version 5.8, command line. CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4536 4985 Core i9 10900K 800 4841 5298 Ryzen 5 3600X 2200 4082 4388 Ryzen 7 3700X 2200 4168 4405 Ryzen 9 3900X 2196 4101 4391 Ryzen 9 3950X 2198 4117 4498 OpenBenchmarking.org Megahertz, More Is Better RawTherapee CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 65.2 97.4 Core i9 10900K 3.8 105.0 189.9 Ryzen 5 3600X 14.9 58.6 72.0 Ryzen 7 3700X 13.1 55.1 71.8 Ryzen 9 3900X 17.1 88.8 118.7 Ryzen 9 3950X 15.5 77.5 107.1 OpenBenchmarking.org Watts, Fewer Is Better RawTherapee CPU Power Consumption Monitor 50 100 150 200 250 1. Core i5 10600K: Approximate power consumption of 3848 Joules per run. 2. Core i9 10900K: Approximate power consumption of 4410 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 1816 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 1524 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 2131 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 1680 Joules per run.
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.
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 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 500K 1000K 1500K 2000K 2500K SE +/- 2747.25, N = 3 SE +/- 4778.69, N = 3 SE +/- 1544.77, N = 3 SE +/- 2674.26, N = 3 SE +/- 8258.54, N = 3 SE +/- 10463.30, N = 3 2361631.52 2528595.45 1984509.02 2038617.14 2022419.26 2035190.56 MIN: 30916 / MAX: 8499052 MIN: 38307 / MAX: 8978306 MIN: 29423 / MAX: 6459918 MIN: 29500 / MAX: 6682498 MIN: 28646 / MAX: 6697449 MIN: 29331 / MAX: 6694981 Items / Sec Per Watt
OpenBenchmarking.org Items / Sec Per Watt, More Is Better OpenVKL 0.9 Benchmark: vklBenchmarkUnstructuredVolume Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 8K 16K 24K 32K 40K 38203.47 27495.02 35329.66 39299.88 23022.84 27870.03 CPU Peak Freq (Highest CPU Core Frequency
OpenBenchmarking.org Megahertz, More Is Better OpenVKL 0.9 CPU Peak Freq (Highest CPU Core Frequency) Monitor Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 900 1800 2700 3600 4500 Min: 800 / Avg: 4749.21 / Max: 4996 Min: 800 / Avg: 5087 / Max: 5311 Min: 2426 / Avg: 4204.13 / Max: 4402 Min: 2200 / Avg: 4304.71 / Max: 4413 Min: 2196 / Avg: 4273.03 / Max: 4598 Min: 2200 / Avg: 4323.33 / Max: 4660 CPU Power Consumption
OpenBenchmarking.org Watts, Fewer Is Better OpenVKL 0.9 CPU Power Consumption Monitor Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 30 60 90 120 150 Min: 3.65 / Avg: 61.81 / Max: 88.75 Min: 3.8 / Avg: 91.97 / Max: 160.79 Min: 14.45 / Avg: 56.17 / Max: 67.74 Min: 14.64 / Avg: 51.87 / Max: 66.99 Min: 16.21 / Avg: 87.84 / Max: 108.5 Min: 14.39 / Avg: 73.02 / Max: 98.2 1. Core i5 10600K: Approximate power consumption of 51655 Joules per run. 2. Core i9 10900K: Approximate power consumption of 55455 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 24322 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 20144 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 29457 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 22199 Joules per run.
TSCP This is a performance test of TSCP, Tom Kerrigan's Simple Chess Program, which has a built-in performance benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Nodes Per Second, More Is Better TSCP 1.81 AI Chess Performance Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 400K 800K 1200K 1600K 2000K SE +/- 1883.64, N = 13 SE +/- 1708.40, N = 13 SE +/- 2074.84, N = 12 SE +/- 1010.15, N = 12 SE +/- 9290.73, N = 12 SE +/- 6512.23, N = 12 1524104 1669823 1321638 1333342 1344067 1347536 1. (CC) gcc options: -O3 -march=native Nodes Per Second Per Watt
OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better TSCP 1.81 AI Chess Performance Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 30K 60K 90K 120K 150K 147803.85 118749.71 64293.17 71791.20 49783.10 86157.30 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 2102 4807 Core i9 10900K 800 2423 5299 Ryzen 5 3600X 2200 2782 4407 Ryzen 7 3700X 2200 2921 4415 Ryzen 9 3900X 2197 2849 4575 Ryzen 9 3950X 2196 3137 4553 OpenBenchmarking.org Megahertz, More Is Better TSCP 1.81 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.7 10.3 26.6 Core i9 10900K 3.6 14.1 43.4 Ryzen 5 3600X 12.2 20.6 36.0 Ryzen 7 3700X 14.6 18.6 28.8 Ryzen 9 3900X 15.5 27.0 52.7 Ryzen 9 3950X 14.6 15.6 18.5 OpenBenchmarking.org Watts, Fewer Is Better TSCP 1.81 CPU Power Consumption Monitor 15 30 45 60 75 1. Core i5 10600K: Approximate power consumption of 43 Joules per run. 2. Core i9 10900K: Approximate power consumption of 51 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 48 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 43 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 58 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 31 Joules per run.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 1100 2200 3300 4400 5500 SE +/- 1.10, N = 3 SE +/- 1.17, N = 3 SE +/- 22.91, N = 3 SE +/- 39.81, N = 3 SE +/- 73.26, N = 3 SE +/- 43.36, N = 15 4034.99 4582.57 4938.17 5043.97 5013.87 5083.19 1. (CC) gcc options: -O3 -mavx2 MFLOPS Per Watt
OpenBenchmarking.org MFLOPS Per Watt, More Is Better Himeno Benchmark 3.0 Poisson Pressure Solver Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 30 60 90 120 150 120.67 100.41 126.61 154.44 92.29 117.08 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4557 4804 Core i9 10900K 800 5050 5298 Ryzen 5 3600X 2200 4098 4293 Ryzen 7 3700X 2200 4204 4411 Ryzen 9 3900X 2196 4131 4366 Ryzen 9 3950X 2197 4305 4596 OpenBenchmarking.org Megahertz, More Is Better Himeno Benchmark 3.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.7 33.4 41.2 Core i9 10900K 3.8 45.6 62.6 Ryzen 5 3600X 14.3 39.0 41.2 Ryzen 7 3700X 13.5 32.7 34.5 Ryzen 9 3900X 14.7 54.3 57.9 Ryzen 9 3950X 13.4 43.4 47.1 OpenBenchmarking.org Watts, Fewer Is Better Himeno Benchmark 3.0 CPU Power Consumption Monitor 20 40 60 80 100 1. Core i5 10600K: Approximate power consumption of 1639 Joules per run. 2. Core i9 10900K: Approximate power consumption of 1993 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 1144 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 860 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 1394 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 967 Joules per run.
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 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 6 12 18 24 30 SE +/- 0.16, N = 3 SE +/- 0.24, N = 5 SE +/- 0.12, N = 3 SE +/- 0.17, N = 3 SE +/- 0.12, N = 3 SE +/- 0.26, N = 3 20.93 19.83 24.14 24.77 23.84 23.67 1. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08) CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4184 4802 Core i9 10900K 800 4473 5123 Ryzen 5 3600X 2201 3929 4380 Ryzen 7 3700X 2200 3800 4405 Ryzen 9 3900X 2196 3858 4508 Ryzen 9 3950X 2198 3988 4541 OpenBenchmarking.org Megahertz, More Is Better Inkscape CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 30.4 41.8 Core i9 10900K 3.8 36.5 57.0 Ryzen 5 3600X 14.7 35.4 40.2 Ryzen 7 3700X 14.5 30.7 34.3 Ryzen 9 3900X 15.0 54.4 64.9 Ryzen 9 3950X 14.2 43.9 52.2 OpenBenchmarking.org Watts, Fewer Is Better Inkscape CPU Power Consumption Monitor 20 40 60 80 100 1. Core i5 10600K: Approximate power consumption of 608 Joules per run. 2. Core i9 10900K: Approximate power consumption of 613 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 449 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 379 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 617 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 468 Joules per run.
SQLite Speedtest This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better SQLite Speedtest 3.30 Timed Time - Size 1,000 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 13 26 39 52 65 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.20, N = 3 SE +/- 0.08, N = 3 SE +/- 0.20, N = 3 51.31 46.98 58.41 58.20 56.27 55.80 1. (CC) gcc options: -O2 -ldl -lz -lpthread CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4534 4810 Core i9 10900K 800 4869 5139 Ryzen 5 3600X 2200 4220 4412 Ryzen 7 3700X 2200 4236 4420 Ryzen 9 3900X 2196 4381 4582 Ryzen 9 3950X 2196 4404 4604 OpenBenchmarking.org Megahertz, More Is Better SQLite Speedtest 3.30 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 4.1 36.2 46.0 Core i9 10900K 3.8 42.3 60.8 Ryzen 5 3600X 15.2 37.3 40.3 Ryzen 7 3700X 13.2 28.8 31.6 Ryzen 9 3900X 16.5 54.5 59.6 Ryzen 9 3950X 14.4 41.1 44.6 OpenBenchmarking.org Watts, Fewer Is Better SQLite Speedtest 3.30 CPU Power Consumption Monitor 20 40 60 80 100 1. Core i5 10600K: Approximate power consumption of 1619 Joules per run. 2. Core i9 10900K: Approximate power consumption of 1552 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 1044 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 777 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 1326 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 932 Joules per run.
Darmstadt Automotive Parallel Heterogeneous Suite DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Points2Image Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 8K 16K 24K 32K 40K SE +/- 85.46, N = 3 SE +/- 256.02, N = 3 SE +/- 341.94, N = 3 SE +/- 215.80, N = 3 SE +/- 183.27, N = 3 SE +/- 185.52, N = 3 31636.52 32559.44 38675.80 39309.87 34654.77 32769.29 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp Test Cases Per Minute Per Watt
OpenBenchmarking.org Test Cases Per Minute Per Watt, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Points2Image Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 200 400 600 800 1000 738.79 528.59 946.67 1059.77 563.82 585.75 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4520 4787 Core i9 10900K 800 4829 5090 Ryzen 5 3600X 2200 4149 4310 Ryzen 7 3700X 2200 4235 4375 Ryzen 9 3900X 2196 4199 4417 Ryzen 9 3950X 2197 4203 4436 OpenBenchmarking.org Megahertz, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 42.8 51.9 Core i9 10900K 4.1 61.6 83.6 Ryzen 5 3600X 12.2 40.9 42.9 Ryzen 7 3700X 12.6 37.1 39.4 Ryzen 9 3900X 16.2 61.5 68.6 Ryzen 9 3950X 15.2 55.9 59.0 OpenBenchmarking.org Watts, Fewer Is Better Darmstadt Automotive Parallel Heterogeneous Suite CPU Power Consumption Monitor 20 40 60 80 100 1. Core i5 10600K: Approximate power consumption of 2712 Joules per run. 2. Core i9 10900K: Approximate power consumption of 3224 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 1580 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 1335 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 2131 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 1846 Joules per run.
Cryptsetup This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Second, More Is Better Cryptsetup 2.2.2 PBKDF2-sha512 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 400K 800K 1200K 1600K 2000K SE +/- 5225.45, N = 3 SE +/- 5908.91, N = 3 SE +/- 3146.35, N = 3 SE +/- 6430.42, N = 3 SE +/- 25054.02, N = 3 SE +/- 16366.39, N = 3 1896188 2016526 1655658 1698605 1727241 1706237
PyBench This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.
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 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 900 1800 2700 3600 4500 SE +/- 0.54, N = 3 SE +/- 1.10, N = 3 SE +/- 4.47, N = 3 SE +/- 1.24, N = 3 SE +/- 1.37, N = 3 SE +/- 1.39, N = 3 3590.58 4287.39 4363.10 3923.49 4039.37 3806.21 1. (CXX) g++ options: -O3 -fopenmp -pthread -lmpi_cxx -lmpi CG Mflops Per Watt
OpenBenchmarking.org CG Mflops Per Watt, More Is Better miniFE 2.2 Problem Size: Small Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 20 40 60 80 100 61.48 42.36 79.58 79.31 46.81 51.17 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4379 4803 Core i9 10900K 800 4662 5103 Ryzen 5 3600X 2200 4069 4298 Ryzen 7 3700X 2200 4153 4398 Ryzen 9 3900X 2197 3965 4440 Ryzen 9 3950X 2197 4054 4464 OpenBenchmarking.org Megahertz, More Is Better miniFE 2.2 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 58.4 125.3 Core i9 10900K 3.8 101.2 242.3 Ryzen 5 3600X 14.8 54.8 87.5 Ryzen 7 3700X 9.1 49.5 88.0 Ryzen 9 3900X 16.5 86.3 140.4 Ryzen 9 3950X 15.8 74.4 117.4 OpenBenchmarking.org Watts, Fewer Is Better miniFE 2.2 CPU Power Consumption Monitor 60 120 180 240 300 1. Core i5 10600K: Approximate power consumption of 3796 Joules per run. 2. Core i9 10900K: Approximate power consumption of 4892 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 1663 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 1566 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 2387 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 2033 Joules per run.
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.
Cryptsetup This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Iterations Per Second, More Is Better Cryptsetup PBKDF2-whirlpool Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 200K 400K 600K 800K 1000K SE +/- 431.33, N = 3 SE +/- 971.00, N = 3 SE +/- 2579.72, N = 3 SE +/- 2743.21, N = 3 SE +/- 10922.33, N = 3 SE +/- 9971.29, N = 4 823489 874301 720524 742988 751441 745911 Iterations Per Second Per Watt
OpenBenchmarking.org Iterations Per Second Per Watt, More Is Better Cryptsetup PBKDF2-whirlpool Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 5K 10K 15K 20K 25K 22700.78 20676.18 18730.87 23199.09 13878.55 17480.65 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4372 4809 Core i9 10900K 800 4853 5139 Ryzen 5 3600X 2200 4162 4401 Ryzen 7 3700X 2200 4123 4406 Ryzen 9 3900X 2196 4232 4598 Ryzen 9 3950X 2196 4154 4646 OpenBenchmarking.org Megahertz, More Is Better Cryptsetup CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.8 36.3 70.2 Core i9 10900K 3.7 42.3 99.1 Ryzen 5 3600X 4.7 38.5 55.0 Ryzen 7 3700X 15.0 32.0 49.3 Ryzen 9 3900X 16.1 54.1 80.5 Ryzen 9 3950X 14.8 42.7 64.9 OpenBenchmarking.org Watts, Fewer Is Better Cryptsetup CPU Power Consumption Monitor 20 40 60 80 100 1. Core i5 10600K: Approximate power consumption of 1125 Joules per run. 2. Core i9 10900K: Approximate power consumption of 1170 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 731 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 566 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 938 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 651 Joules per run.
Darmstadt Automotive Parallel Heterogeneous Suite DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: NDT Mapping Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 200 400 600 800 1000 SE +/- 0.37, N = 3 SE +/- 0.86, N = 3 SE +/- 0.45, N = 3 SE +/- 0.44, N = 3 SE +/- 0.52, N = 3 SE +/- 1.21, N = 3 653.99 793.01 700.49 726.78 720.33 677.68 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp Test Cases Per Minute Per Watt
OpenBenchmarking.org Test Cases Per Minute Per Watt, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: NDT Mapping Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 5 10 15 20 25 16.93 14.83 17.59 20.28 12.43 12.45 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4352 4804 Core i9 10900K 800 4622 5137 Ryzen 5 3600X 2200 3992 4316 Ryzen 7 3700X 2200 4082 4382 Ryzen 9 3900X 2196 4080 4381 Ryzen 9 3950X 2314 4204 4496 OpenBenchmarking.org Megahertz, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.5 38.6 55.5 Core i9 10900K 3.8 53.5 97.1 Ryzen 5 3600X 14.5 39.8 45.3 Ryzen 7 3700X 8.8 35.8 41.0 Ryzen 9 3900X 12.6 58.0 68.9 Ryzen 9 3950X 14.6 54.4 62.2 OpenBenchmarking.org Watts, Fewer Is Better Darmstadt Automotive Parallel Heterogeneous Suite CPU Power Consumption Monitor 20 40 60 80 100 1. Core i5 10600K: Approximate power consumption of 876 Joules per run. 2. Core i9 10900K: Approximate power consumption of 980 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 544 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 466 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 715 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 671 Joules per run.
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.
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.
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 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 7 14 21 28 35 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.25, N = 3 SE +/- 0.10, N = 3 SE +/- 0.19, N = 3 28.32 30.04 26.17 26.11 25.65 25.13 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11 Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better VP9 libvpx Encoding 1.8.2 Speed: Speed 5 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.1328 0.2656 0.3984 0.5312 0.664 0.48 0.42 0.51 0.59 0.37 0.46 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4152 4761 Core i9 10900K 800 4480 5100 Ryzen 5 3600X 2200 3869 4249 Ryzen 7 3700X 2200 4093 4325 Ryzen 9 3900X 2198 4018 4389 Ryzen 9 3950X 2199 3952 4482 OpenBenchmarking.org Megahertz, More Is Better VP9 libvpx Encoding 1.8.2 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 59.6 80.6 Core i9 10900K 3.8 71.8 110.2 Ryzen 5 3600X 15.8 51.5 59.2 Ryzen 7 3700X 10.8 44.5 52.9 Ryzen 9 3900X 16.3 69.5 80.7 Ryzen 9 3950X 15.2 54.8 64.4 OpenBenchmarking.org Watts, Fewer Is Better VP9 libvpx Encoding 1.8.2 CPU Power Consumption Monitor 20 40 60 80 100 1. Core i5 10600K: Approximate power consumption of 1232 Joules per run. 2. Core i9 10900K: Approximate power consumption of 1268 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 635 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 533 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 787 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 584 Joules per run.
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.
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 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.24, N = 4 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.25, N = 4 17.20 16.26 19.28 18.70 18.46 18.57 1. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle. CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4097 4808 Core i9 10900K 800 4476 5298 Ryzen 5 3600X 2201 4015 4411 Ryzen 7 3700X 2201 4060 4401 Ryzen 9 3900X 2196 3957 4532 Ryzen 9 3950X 2202 4209 4607 OpenBenchmarking.org Megahertz, More Is Better G'MIC CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 7.1 29.2 40.5 Core i9 10900K 3.8 33.7 59.9 Ryzen 5 3600X 15.1 33.5 40.7 Ryzen 7 3700X 13.8 27.3 31.1 Ryzen 9 3900X 16.2 48.8 60.2 Ryzen 9 3950X 12.8 35.5 42.2 OpenBenchmarking.org Watts, Fewer Is Better G'MIC CPU Power Consumption Monitor 16 32 48 64 80 1. Core i5 10600K: Approximate power consumption of 496 Joules per run. 2. Core i9 10900K: Approximate power consumption of 498 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 357 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 273 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 439 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 310 Joules per run.
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 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 2K 4K 6K 8K 10K SE +/- 75.15, N = 10 SE +/- 93.99, N = 10 SE +/- 25.66, N = 8 SE +/- 19.49, N = 8 SE +/- 59.90, N = 9 SE +/- 54.99, N = 8 9703.5 10277.2 10898.0 11296.0 11471.0 11282.0 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm Mflops Per Watt
OpenBenchmarking.org Mflops Per Watt, More Is Better FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 32 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 120 240 360 480 600 569.15 447.55 423.75 493.09 329.90 450.49 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 2762 4808 Core i9 10900K 800 3221 5136 Ryzen 5 3600X 2199 3237 4268 Ryzen 7 3700X 2200 3363 4386 Ryzen 9 3900X 2196 3415 4519 Ryzen 9 3950X 2196 3484 4438 OpenBenchmarking.org Megahertz, More Is Better FFTW 3.3.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.5 17.0 43.0 Core i9 10900K 3.6 23.0 53.6 Ryzen 5 3600X 11.1 25.7 38.3 Ryzen 7 3700X 14.0 22.9 31.9 Ryzen 9 3900X 14.8 34.8 53.9 Ryzen 9 3950X 14.4 25.0 42.3 OpenBenchmarking.org Watts, Fewer Is Better FFTW 3.3.6 CPU Power Consumption Monitor 15 30 45 60 75 1. Core i5 10600K: Approximate power consumption of 85 Joules per run. 2. Core i9 10900K: Approximate power consumption of 124 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 90 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 77 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 108 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 75 Joules per run.
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.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 1.044 2.088 3.132 4.176 5.22 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 4.07 4.64 3.94 3.97 4.13 4.18 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Two-Pass Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.0248 0.0496 0.0744 0.0992 0.124 0.09 0.08 0.09 0.11 0.07 0.08 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4274 4809 Core i9 10900K 800 4478 5298 Ryzen 5 3600X 2200 4003 4337 Ryzen 7 3700X 2201 4095 4410 Ryzen 9 3900X 2197 4156 4532 Ryzen 9 3950X 2805 4300 4640 OpenBenchmarking.org Megahertz, More Is Better AOM AV1 2.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 45.4 94.3 Core i9 10900K 3.7 57.9 137.9 Ryzen 5 3600X 14.4 44.4 72.0 Ryzen 7 3700X 15.2 37.8 67.6 Ryzen 9 3900X 13.3 59.8 108.9 Ryzen 9 3950X 15.1 52.8 95.5 OpenBenchmarking.org Watts, Fewer Is Better AOM AV1 2.0 CPU Power Consumption Monitor 40 80 120 160 200 1. Core i5 10600K: Approximate power consumption of 1105 Joules per run. 2. Core i9 10900K: Approximate power consumption of 1139 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 622 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 504 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 718 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 599 Joules per run.
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.
Crafty This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Nodes Per Second, More Is Better Crafty 25.2 Elapsed Time Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 2M 4M 6M 8M 10M SE +/- 17564.40, N = 3 SE +/- 18804.64, N = 3 SE +/- 26126.83, N = 3 SE +/- 6880.41, N = 3 SE +/- 53986.23, N = 3 SE +/- 70318.69, N = 3 9358941 10380611 8878877 9025541 9302719 9081194 1. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm Nodes Per Second Per Watt
OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better Crafty 25.2 Elapsed Time Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 70K 140K 210K 280K 350K 295716.45 250430.77 261768.17 321394.65 190492.23 245117.86 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4218 4810 Core i9 10900K 800 4608 5298 Ryzen 5 3600X 2199 4059 4338 Ryzen 7 3700X 2201 4146 4400 Ryzen 9 3900X 2196 4211 4526 Ryzen 9 3950X 2197 4032 4475 OpenBenchmarking.org Megahertz, More Is Better Crafty 25.2 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.7 31.6 44.0 Core i9 10900K 3.9 41.5 62.7 Ryzen 5 3600X 12.6 33.9 38.2 Ryzen 7 3700X 14.1 28.0 32.3 Ryzen 9 3900X 16.2 48.8 56.1 Ryzen 9 3950X 15.2 37.0 42.1 OpenBenchmarking.org Watts, Fewer Is Better Crafty 25.2 CPU Power Consumption Monitor 20 40 60 80 100 1. Core i5 10600K: Approximate power consumption of 644 Joules per run. 2. Core i9 10900K: Approximate power consumption of 677 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 396 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 318 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 505 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 358 Joules per run.
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 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 12K 24K 36K 48K 60K SE +/- 125.08, N = 7 SE +/- 330.33, N = 6 SE +/- 422.09, N = 6 SE +/- 364.67, N = 6 SE +/- 548.57, N = 9 SE +/- 481.20, N = 6 50003 55648 55987 57592 56784 58248 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm Mflops Per Watt
OpenBenchmarking.org Mflops Per Watt, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 4096 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 500 1000 1500 2000 2500 2052.94 1605.83 1824.79 2231.29 1417.68 1681.74 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 3280 4809 Core i9 10900K 800 3922 5298 Ryzen 5 3600X 2200 3528 4332 Ryzen 7 3700X 2200 3620 4415 Ryzen 9 3900X 2196 3563 4477 Ryzen 9 3950X 2196 3809 4572 OpenBenchmarking.org Megahertz, More Is Better FFTW 3.3.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 24.4 46.5 Core i9 10900K 3.7 34.7 69.3 Ryzen 5 3600X 4.6 30.7 40.6 Ryzen 7 3700X 14.1 25.8 33.9 Ryzen 9 3900X 13.3 40.1 55.7 Ryzen 9 3950X 14.9 34.6 43.9 OpenBenchmarking.org Watts, Fewer Is Better FFTW 3.3.6 CPU Power Consumption Monitor 20 40 60 80 100 1. Core i5 10600K: Approximate power consumption of 184 Joules per run. 2. Core i9 10900K: Approximate power consumption of 271 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 148 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 120 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 174 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 144 Joules per run.
Result
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 4096 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 1500 3000 4500 6000 7500 SE +/- 15.99, N = 3 SE +/- 103.13, N = 3 SE +/- 24.70, N = 3 SE +/- 10.17, N = 3 SE +/- 18.13, N = 3 SE +/- 8.49, N = 3 5975.8 6955.9 6305.6 6445.2 6508.9 6541.1 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm Mflops Per Watt
OpenBenchmarking.org Mflops Per Watt, More Is Better FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 4096 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 50 100 150 200 250 176.58 163.53 176.45 227.22 123.00 162.97 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4733 4815 Core i9 10900K 800 5134 5299 Ryzen 5 3600X 2200 4322 4415 Ryzen 7 3700X 2200 4359 4411 Ryzen 9 3900X 2196 4495 4623 Ryzen 9 3950X 2197 4307 4431 OpenBenchmarking.org Megahertz, More Is Better FFTW 3.3.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 33.8 43.0 Core i9 10900K 3.8 42.5 63.9 Ryzen 5 3600X 16.6 35.7 40.9 Ryzen 7 3700X 14.7 28.4 33.0 Ryzen 9 3900X 9.9 52.9 57.9 Ryzen 9 3950X 15.4 40.1 44.1 OpenBenchmarking.org Watts, Fewer Is Better FFTW 3.3.6 CPU Power Consumption Monitor 20 40 60 80 100 1. Core i5 10600K: Approximate power consumption of 5358 Joules per run. 2. Core i9 10900K: Approximate power consumption of 5289 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 3848 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 2751 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 5045 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 3211 Joules per run.
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.
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.
WireGuard + Linux Networking Stack Stress Test This is a benchmark of the WireGuard secure VPN tunnel and Linux networking stack stress test. The test runs on the local host but does require root permissions to run. The way it works is it creates three namespaces. ns0 has a loopback device. ns1 and ns2 each have wireguard devices. Those two wireguard devices send traffic through the loopback device of ns0. The end result of this is that tests wind up testing encryption and decryption at the same time -- a pretty CPU and scheduler-heavy workflow. Learn more via the OpenBenchmarking.org test page.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.6525 1.305 1.9575 2.61 3.2625 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 +/- 0.02, N = 3 2.57 2.90 2.53 2.58 2.68 2.69 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread Frames Per Second Per Watt
OpenBenchmarking.org Frames Per Second Per Watt, More Is Better AOM AV1 2.0 Encoder Mode: Speed 4 Two-Pass Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.0158 0.0316 0.0474 0.0632 0.079 0.06 0.05 0.06 0.07 0.04 0.05 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4136 4806 Core i9 10900K 800 4386 5137 Ryzen 5 3600X 2200 3847 4329 Ryzen 7 3700X 2200 3916 4403 Ryzen 9 3900X 2196 3960 4519 Ryzen 9 3950X 2794 4204 4562 OpenBenchmarking.org Megahertz, More Is Better AOM AV1 2.0 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.5 44.9 101.4 Core i9 10900K 3.7 59.4 161.2 Ryzen 5 3600X 15.8 44.2 71.1 Ryzen 7 3700X 15.4 38.9 64.1 Ryzen 9 3900X 15.9 63.5 95.6 Ryzen 9 3950X 10.6 49.8 84.2 OpenBenchmarking.org Watts, Fewer Is Better AOM AV1 2.0 CPU Power Consumption Monitor 50 100 150 200 250 1. Core i5 10600K: Approximate power consumption of 838 Joules per run. 2. Core i9 10900K: Approximate power consumption of 891 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 471 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 389 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 593 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 431 Joules per run.
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 Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 100 200 300 400 500 SE +/- 1.05, N = 3 SE +/- 0.75, N = 3 SE +/- 1.04, N = 3 SE +/- 0.22, N = 3 SE +/- 2.69, N = 3 SE +/- 2.34, N = 3 388.14 443.49 403.20 408.01 408.42 417.29 Score Per Watt
OpenBenchmarking.org Score Per Watt, More Is Better Numpy Benchmark Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 3 6 9 12 15 10.38 10.08 10.56 13.14 7.51 9.88 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4733 4814 Core i9 10900K 800 5049 5148 Ryzen 5 3600X 2200 4306 4410 Ryzen 7 3700X 2200 4342 4407 Ryzen 9 3900X 2196 4389 4582 Ryzen 9 3950X 2198 4495 4664 OpenBenchmarking.org Megahertz, More Is Better Numpy Benchmark CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 37.4 46.2 Core i9 10900K 3.8 44.0 60.4 Ryzen 5 3600X 16.0 38.2 44.0 Ryzen 7 3700X 15.4 31.1 37.0 Ryzen 9 3900X 16.5 54.4 59.9 Ryzen 9 3950X 15.8 42.2 48.2 OpenBenchmarking.org Watts, Fewer Is Better Numpy Benchmark CPU Power Consumption Monitor 20 40 60 80 100 1. Core i5 10600K: Approximate power consumption of 6422 Joules per run. 2. Core i9 10900K: Approximate power consumption of 5968 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 3906 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 3033 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 5022 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 3577 Joules per run.
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Geometric Mean, More Is Better Selenium Benchmark: Octane - Browser: Firefox Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 9K 18K 27K 36K 45K SE +/- 126.80, N = 3 SE +/- 128.43, N = 3 SE +/- 125.74, N = 3 SE +/- 79.97, N = 3 SE +/- 360.28, N = 3 SE +/- 385.29, N = 3 38654 41403 36300 36774 36838 36951 1. firefox 77.0.1 Geometric Mean Per Watt
OpenBenchmarking.org Geometric Mean Per Watt, More Is Better Selenium Benchmark: Octane - Browser: Firefox Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 300 600 900 1200 1500 1378.34 1276.31 1043.12 1239.09 747.95 922.38 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4143 4884 Core i9 10900K 800 4427 5297 Ryzen 5 3600X 2200 3923 4405 Ryzen 7 3700X 2200 4000 4407 Ryzen 9 3900X 2196 3951 4519 Ryzen 9 3950X 2196 4074 4524 OpenBenchmarking.org Megahertz, More Is Better Selenium CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.5 28.0 45.6 Core i9 10900K 3.9 32.4 60.0 Ryzen 5 3600X 13.4 34.8 43.9 Ryzen 7 3700X 14.9 29.7 40.3 Ryzen 9 3900X 15.5 49.3 69.8 Ryzen 9 3950X 14.5 40.1 54.0 OpenBenchmarking.org Watts, Fewer Is Better Selenium CPU Power Consumption Monitor 20 40 60 80 100 1. Core i5 10600K: Approximate power consumption of 1140 Joules per run. 2. Core i9 10900K: Approximate power consumption of 1168 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 777 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 633 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 985 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 761 Joules per run.
Result
OpenBenchmarking.org Geometric Mean, More Is Better Selenium Benchmark: Octane - Browser: Google Chrome Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 12K 24K 36K 48K 60K SE +/- 51.79, N = 3 SE +/- 133.46, N = 3 SE +/- 103.97, N = 3 SE +/- 63.89, N = 3 SE +/- 240.60, N = 3 SE +/- 143.86, N = 3 50844 55001 48224 49280 48468 49148 1. chrome 83.0.4103.106 Geometric Mean Per Watt
OpenBenchmarking.org Geometric Mean Per Watt, More Is Better Selenium Benchmark: Octane - Browser: Google Chrome Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 400 800 1200 1600 2000 1836.50 1721.35 1414.81 1690.52 1009.49 1290.61 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4068 4872 Core i9 10900K 800 4230 5299 Ryzen 5 3600X 2200 3896 4414 Ryzen 7 3700X 2200 3816 4401 Ryzen 9 3900X 2196 3878 4543 Ryzen 9 3950X 2197 3910 4514 OpenBenchmarking.org Megahertz, More Is Better Selenium CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.5 27.7 53.9 Core i9 10900K 4.1 32.0 66.3 Ryzen 5 3600X 12.7 34.1 49.2 Ryzen 7 3700X 14.0 29.2 42.1 Ryzen 9 3900X 15.4 48.0 73.3 Ryzen 9 3950X 15.2 38.1 57.5 OpenBenchmarking.org Watts, Fewer Is Better Selenium CPU Power Consumption Monitor 20 40 60 80 100 1. Core i5 10600K: Approximate power consumption of 1024 Joules per run. 2. Core i9 10900K: Approximate power consumption of 1054 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 693 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 573 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 896 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 673 Joules per run.
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.
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
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.
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.
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 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 3K 6K 9K 12K 15K SE +/- 15.66, N = 8 SE +/- 13.00, N = 9 SE +/- 15.84, N = 8 SE +/- 35.92, N = 9 SE +/- 39.24, N = 9 SE +/- 102.63, N = 11 10886 12006 11237 11450 11512 11399 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm Mflops Per Watt
OpenBenchmarking.org Mflops Per Watt, More Is Better FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 32 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 110 220 330 440 550 524.60 473.60 422.45 503.51 335.71 421.81 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 3078 4807 Core i9 10900K 800 3384 5300 Ryzen 5 3600X 2200 3524 4336 Ryzen 7 3700X 2200 3273 4404 Ryzen 9 3900X 2196 3292 4556 Ryzen 9 3950X 2196 3287 4475 OpenBenchmarking.org Megahertz, More Is Better FFTW 3.3.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.5 20.8 41.3 Core i9 10900K 3.6 25.4 60.1 Ryzen 5 3600X 10.4 26.6 38.4 Ryzen 7 3700X 14.4 22.7 30.7 Ryzen 9 3900X 14.3 34.3 52.9 Ryzen 9 3950X 8.9 27.0 41.8 OpenBenchmarking.org Watts, Fewer Is Better FFTW 3.3.6 CPU Power Consumption Monitor 16 32 48 64 80 1. Core i5 10600K: Approximate power consumption of 132 Joules per run. 2. Core i9 10900K: Approximate power consumption of 138 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 93 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 76 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 107 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 81 Joules per run.
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Score, More Is Better Selenium Benchmark: Jetstream 2 - Browser: Google Chrome Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 30 60 90 120 150 SE +/- 0.22, N = 3 SE +/- 1.29, N = 3 SE +/- 0.41, N = 3 SE +/- 0.13, N = 3 SE +/- 0.66, N = 3 SE +/- 0.31, N = 3 141.66 148.50 135.11 138.24 138.00 136.73 1. chrome 83.0.4103.106 Score Per Watt
OpenBenchmarking.org Score Per Watt, More Is Better Selenium Benchmark: Jetstream 2 - Browser: Google Chrome Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 1.008 2.016 3.024 4.032 5.04 4.48 4.00 3.63 4.29 2.54 3.11 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4388 4843 Core i9 10900K 800 4631 5300 Ryzen 5 3600X 2200 3942 4405 Ryzen 7 3700X 2201 3990 4413 Ryzen 9 3900X 2196 4081 4564 Ryzen 9 3950X 2198 4122 4562 OpenBenchmarking.org Megahertz, More Is Better Selenium CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 31.6 93.1 Core i9 10900K 3.8 37.1 187.3 Ryzen 5 3600X 11.6 37.3 68.1 Ryzen 7 3700X 14.4 32.3 64.0 Ryzen 9 3900X 15.5 54.4 101.7 Ryzen 9 3950X 15.4 43.9 91.6 OpenBenchmarking.org Watts, Fewer Is Better Selenium CPU Power Consumption Monitor 50 100 150 200 250 1. Core i5 10600K: Approximate power consumption of 3938 Joules per run. 2. Core i9 10900K: Approximate power consumption of 3924 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 2707 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 2182 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 3356 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 2518 Joules per run.
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 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 2K 4K 6K 8K 10K SE +/- 23.40, N = 8 SE +/- 99.79, N = 8 SE +/- 19.49, N = 8 SE +/- 14.55, N = 8 SE +/- 23.95, N = 8 SE +/- 7.30, N = 7 8846.5 9485.7 8654.5 8840.2 9010.0 8665.2 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm Mflops Per Watt
OpenBenchmarking.org Mflops Per Watt, More Is Better FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 4096 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 90 180 270 360 450 392.60 347.23 326.55 371.83 252.16 292.06 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 3261 4811 Core i9 10900K 800 3511 5298 Ryzen 5 3600X 2200 3586 4326 Ryzen 7 3700X 2200 3523 4401 Ryzen 9 3900X 2196 3513 4529 Ryzen 9 3950X 2197 3462 4324 OpenBenchmarking.org Megahertz, More Is Better FFTW 3.3.6 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.5 22.5 43.3 Core i9 10900K 3.8 27.3 64.4 Ryzen 5 3600X 3.3 26.5 38.6 Ryzen 7 3700X 14.1 23.8 31.7 Ryzen 9 3900X 15.3 35.7 53.8 Ryzen 9 3950X 13.9 29.7 41.5 OpenBenchmarking.org Watts, Fewer Is Better FFTW 3.3.6 CPU Power Consumption Monitor 20 40 60 80 100 1. Core i5 10600K: Approximate power consumption of 158 Joules per run. 2. Core i9 10900K: Approximate power consumption of 171 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 106 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 89 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 125 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 102 Joules per run.
Nettle GNU Nettle is a low-level cryptographic library. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mbyte/s, More Is Better Nettle 3.5.1 Test: sha512 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 140 280 420 560 700 SE +/- 0.47, N = 10 SE +/- 0.88, N = 10 SE +/- 1.21, N = 10 SE +/- 0.84, N = 10 SE +/- 1.63, N = 10 SE +/- 3.54, N = 10 602.68 658.88 617.70 635.15 647.07 640.82 1. (CC) gcc options: -O2 -ggdb3 -lnettle -lgmp -lm -lcrypto Mbyte/s Per Watt
OpenBenchmarking.org Mbyte/s Per Watt, More Is Better Nettle 3.5.1 Test: sha512 Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 8 16 24 32 40 36.20 31.97 25.80 31.00 21.01 25.74 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 2653 4813 Core i9 10900K 800 3328 5299 Ryzen 5 3600X 2200 3021 4402 Ryzen 7 3700X 2200 3103 4413 Ryzen 9 3900X 2196 3116 4614 Ryzen 9 3950X 2197 3103 4580 OpenBenchmarking.org Megahertz, More Is Better Nettle 3.5.1 CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.5 16.6 40.5 Core i9 10900K 3.7 20.6 61.7 Ryzen 5 3600X 15.6 23.9 35.9 Ryzen 7 3700X 15.0 20.5 29.2 Ryzen 9 3900X 16.1 30.8 52.7 Ryzen 9 3950X 15.4 24.9 39.5 OpenBenchmarking.org Watts, Fewer Is Better Nettle 3.5.1 CPU Power Consumption Monitor 20 40 60 80 100 1. Core i5 10600K: Approximate power consumption of 87 Joules per run. 2. Core i9 10900K: Approximate power consumption of 93 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 67 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 57 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 77 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 60 Joules per run.
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.
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.
Selenium This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Score, More Is Better Selenium Benchmark: Jetstream 2 - Browser: Firefox Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 20 40 60 80 100 SE +/- 1.46, N = 3 SE +/- 0.81, N = 3 SE +/- 0.30, N = 3 SE +/- 0.53, N = 3 SE +/- 1.13, N = 3 SE +/- 0.33, N = 3 100.27 108.49 100.69 100.28 103.50 100.47 1. firefox 77.0.1 Score Per Watt
OpenBenchmarking.org Score Per Watt, More Is Better Selenium Benchmark: Jetstream 2 - Browser: Firefox Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.7133 1.4266 2.1399 2.8532 3.5665 3.17 2.73 2.62 3.07 1.90 2.27 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4431 4807 Core i9 10900K 800 4818 5301 Ryzen 5 3600X 2200 4014 4404 Ryzen 7 3700X 2200 4104 4417 Ryzen 9 3900X 2196 4084 4580 Ryzen 9 3950X 2197 4158 4634 OpenBenchmarking.org Megahertz, More Is Better Selenium CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 31.6 85.6 Core i9 10900K 3.7 39.7 175.8 Ryzen 5 3600X 15.4 38.4 62.4 Ryzen 7 3700X 14.7 32.7 56.2 Ryzen 9 3900X 16.2 54.6 88.0 Ryzen 9 3950X 15.2 44.2 72.6 OpenBenchmarking.org Watts, Fewer Is Better Selenium CPU Power Consumption Monitor 50 100 150 200 250 1. Core i5 10600K: Approximate power consumption of 5870 Joules per run. 2. Core i9 10900K: Approximate power consumption of 5828 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 3964 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 3214 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 5110 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 3754 Joules per run.
Result
OpenBenchmarking.org Runs Per Minute, More Is Better Selenium Benchmark: Speedometer - Browser: Firefox Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 20 40 60 80 100 SE +/- 0.37, N = 3 SE +/- 0.33, N = 3 SE +/- 0.36, N = 3 SE +/- 0.30, N = 3 SE +/- 0.42, N = 3 SE +/- 0.29, N = 3 101.40 106.00 98.91 99.90 100.20 100.30 1. firefox 77.0.1 Runs Per Minute Per Watt
OpenBenchmarking.org Runs Per Minute Per Watt, More Is Better Selenium Benchmark: Speedometer - Browser: Firefox Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.8685 1.737 2.6055 3.474 4.3425 3.86 3.59 2.68 3.23 1.80 2.29 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4277 4802 Core i9 10900K 800 4514 5124 Ryzen 5 3600X 2200 3828 4394 Ryzen 7 3700X 2200 3907 4404 Ryzen 9 3900X 2197 3984 4545 Ryzen 9 3950X 2197 4030 4557 OpenBenchmarking.org Megahertz, More Is Better Selenium CPU Peak Freq (Highest CPU Core Frequency) Monitor 1300 2600 3900 5200 6500 CPU Power Consumption
Min Avg Max Core i5 10600K 3.5 26.3 40.9 Core i9 10900K 2.8 29.5 52.3 Ryzen 5 3600X 16.6 36.8 43.9 Ryzen 7 3700X 14.6 30.9 38.4 Ryzen 9 3900X 16.5 55.8 71.2 Ryzen 9 3950X 15.6 43.9 55.4 OpenBenchmarking.org Watts, Fewer Is Better Selenium CPU Power Consumption Monitor 20 40 60 80 100 1. Core i5 10600K: Approximate power consumption of 1925 Joules per run. 2. Core i9 10900K: Approximate power consumption of 1841 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 1412 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 1217 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 1972 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 1491 Joules per run.
Result
OpenBenchmarking.org Runs / Minute, More Is Better Selenium Benchmark: StyleBench - Browser: Google Chrome Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 9 18 27 36 45 SE +/- 0.12, N = 3 SE +/- 0.18, N = 3 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 38.80 39.66 37.07 37.24 37.80 37.36 1. chrome 83.0.4103.106 Runs / Minute Per Watt
OpenBenchmarking.org Runs / Minute Per Watt, More Is Better Selenium Benchmark: StyleBench - Browser: Google Chrome Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 0.2858 0.5716 0.8574 1.1432 1.429 1.27 1.21 1.02 1.21 0.74 0.95 CPU Peak Freq (Highest CPU Core Frequency
Min Avg Max Core i5 10600K 800 4414 4807 Core i9 10900K 800 4693 6207 Ryzen 5 3600X 2199 4043 4400 Ryzen 7 3700X 2200 4085 4403 Ryzen 9 3900X 2196 4106 4548 Ryzen 9 3950X 2196 4122 4614 OpenBenchmarking.org Megahertz, More Is Better Selenium CPU Peak Freq (Highest CPU Core Frequency) Monitor 1600 3200 4800 6400 8000 CPU Power Consumption
Min Avg Max Core i5 10600K 3.6 30.7 44.8 Core i9 10900K 3.9 32.8 52.2 Ryzen 5 3600X 13.8 36.5 41.4 Ryzen 7 3700X 14.8 30.7 37.0 Ryzen 9 3900X 16.3 50.9 65.7 Ryzen 9 3950X 14.2 39.5 49.6 OpenBenchmarking.org Watts, Fewer Is Better Selenium CPU Power Consumption Monitor 20 40 60 80 100 1. Core i5 10600K: Approximate power consumption of 2617 Joules per run. 2. Core i9 10900K: Approximate power consumption of 2440 Joules per run. 3. Ryzen 5 3600X: Approximate power consumption of 1801 Joules per run. 4. Ryzen 7 3700X: Approximate power consumption of 1434 Joules per run. 5. Ryzen 9 3900X: Approximate power consumption of 2239 Joules per run. 6. Ryzen 9 3950X: Approximate power consumption of 1633 Joules per run.
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.
CPU Power Consumption Monitor OpenBenchmarking.org Watts CPU Power Consumption Monitor Phoronix Test Suite System Monitoring Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 70 140 210 280 350 Min: 2.98 / Avg: 70.85 / Max: 144.63 Min: 2.41 / Avg: 133.28 / Max: 379.25 Min: 1.38 / Avg: 59.79 / Max: 98.26 Min: 2.46 / Avg: 57.03 / Max: 88.35 Min: 4.09 / Avg: 90.06 / Max: 142.28 Min: 8.34 / Avg: 78.15 / Max: 145.48
CPU Peak Freq (Highest CPU Core Frequency) Monitor OpenBenchmarking.org Megahertz CPU Peak Freq (Highest CPU Core Frequency) Monitor Phoronix Test Suite System Monitoring Core i5 10600K Core i9 10900K Ryzen 5 3600X Ryzen 7 3700X Ryzen 9 3900X Ryzen 9 3950X 1100 2200 3300 4400 5500 Min: 800 / Avg: 4269.22 / Max: 5108 Min: 800 / Avg: 4630.35 / Max: 6207 Min: 2199 / Avg: 3948.92 / Max: 4473 Min: 2200 / Avg: 3996 / Max: 4579 Min: 2195 / Avg: 3931.26 / Max: 4763 Min: 2196 / Avg: 4052.35 / Max: 4772
Ryzen 9 3900X Processor: AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads), Motherboard: ASUS TUF GAMING X570-PLUS (WI-FI) (2203 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: Samsung SSD 970 EVO 500GB, Graphics: MSI AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1366/2000MHz), Audio: AMD Ellesmere HDMI Audio, Monitor: DELL P2415Q, Network: Realtek RTL8111/8168/8411 + Intel-AC 9260
OS: Ubuntu 20.04, Kernel: 5.8.0-050800daily20200622-generic (x86_64), Desktop: GNOME Shell 3.36.2, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), 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,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: 0x8701021Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-3ubuntu1)Python Notes: Python 3.8.2Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 22 June 2020 13:56 by user phoronix.
Ryzen 9 3950X Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: Samsung SSD 970 EVO 500GB, Graphics: AMD Radeon VII 16GB (1801/1000MHz), Audio: AMD Vega 20 HDMI Audio, Monitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 20.04, Kernel: 5.8.0-050800daily20200622-generic (x86_64), Desktop: GNOME Shell 3.36.2, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), 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,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: 0x8701013Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-3ubuntu1)Python Notes: Python 3.8.2Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 23 June 2020 18:01 by user phoronix.
Ryzen 7 3700X Processor: AMD Ryzen 7 3700X 8-Core @ 3.60GHz (8 Cores / 16 Threads), Motherboard: MSI MEG X570 GODLIKE (MS-7C34) v1.0 (1.94 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: Samsung SSD 970 EVO 500GB, Graphics: AMD Radeon RX 56/64 8GB (1630/945MHz), Audio: AMD Vega 10 HDMI Audio, Monitor: DELL P2415Q, Network: Realtek Device 2600 + Realtek Device 3000 + Intel Wi-Fi 6 AX200
OS: Ubuntu 20.04, Kernel: 5.8.0-050800daily20200622-generic (x86_64), Desktop: GNOME Shell 3.36.2, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), 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,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: 0x8701021Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-3ubuntu1)Python Notes: Python 3.8.2Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 25 June 2020 06:30 by user phoronix.
Core i9 10900K Processor: Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads), Motherboard: Gigabyte Z490 AORUS MASTER (F3 BIOS), Chipset: Intel Comet Lake PCH, Memory: 16GB, Disk: Samsung SSD 970 EVO 500GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2055/875MHz), Audio: Realtek ALC1220, Monitor: DELL P2415Q, Network: Intel Device 15f3 + Intel Wi-Fi 6 AX201
OS: Ubuntu 20.04, Kernel: 5.8.0-050800daily20200622-generic (x86_64), Desktop: GNOME Shell 3.36.2, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), 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,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: 0xc8Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-3ubuntu1)Python Notes: Python 3.8.2Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + 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 26 June 2020 07:16 by user phoronix.
Core i5 10600K Processor: Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads), Motherboard: ASUS PRIME Z490M-PLUS (0603 BIOS), Chipset: Intel Comet Lake PCH, Memory: 16GB, Disk: Samsung SSD 970 EVO 500GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2055/875MHz), Audio: Realtek ALC887-VD, Monitor: DELL P2415Q, Network: Intel
OS: Ubuntu 20.04, Kernel: 5.8.0-050800daily20200622-generic (x86_64), Desktop: GNOME Shell 3.36.2, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), 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,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: 0xc8Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-3ubuntu1)Python Notes: Python 3.8.2Security Notes: itlb_multihit: KVM: Vulnerable + 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 27 June 2020 06:35 by user phoronix.
Ryzen 5 3600X Processor: AMD Ryzen 5 3600X 6-Core @ 3.80GHz (6 Cores / 12 Threads), Motherboard: MSI X470 GAMING M7 AC (MS-7B77) v1.0 (1.E0 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: Samsung SSD 970 EVO 500GB + 16GB Voyager 3.0, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2055/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Qualcomm Atheros Killer E2500 + Intel 8265 / 8275
OS: Ubuntu 20.04, Kernel: 5.8.0-050800daily20200622-generic (x86_64), Desktop: GNOME Shell 3.36.2, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), 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,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: 0x8701021Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-3ubuntu1)Python Notes: Python 3.8.2Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 28 June 2020 12:51 by user phoronix.