Ryzen 9 5900X / Ryzen 9 5950X Linux Performance

Testing the 7900X and comparing to older results

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2209263-NE-2011040FI34
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Audio Encoding 2 Tests
AV1 4 Tests
Bioinformatics 2 Tests
C++ Boost Tests 3 Tests
Web Browsers 1 Tests
Chess Test Suite 6 Tests
Timed Code Compilation 8 Tests
C/C++ Compiler Tests 35 Tests
Compression Tests 3 Tests
CPU Massive 47 Tests
Creator Workloads 47 Tests
Cryptography 4 Tests
Encoding 11 Tests
Fortran Tests 7 Tests
Game Development 5 Tests
HPC - High Performance Computing 26 Tests
Imaging 11 Tests
Java 2 Tests
Common Kernel Benchmarks 4 Tests
Machine Learning 13 Tests
Molecular Dynamics 5 Tests
MPI Benchmarks 4 Tests
Multi-Core 49 Tests
NVIDIA GPU Compute 9 Tests
OCR 2 Tests
Intel oneAPI 6 Tests
OpenCV Tests 2 Tests
OpenMPI Tests 6 Tests
Productivity 5 Tests
Programmer / Developer System Benchmarks 14 Tests
Python 5 Tests
Raytracing 4 Tests
Renderers 12 Tests
Scientific Computing 12 Tests
Server 3 Tests
Server CPU Tests 31 Tests
Single-Threaded 17 Tests
Speech 3 Tests
Telephony 3 Tests
Texture Compression 2 Tests
Video Encoding 9 Tests
Common Workstation Benchmarks 4 Tests

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Result
Identifier
Performance Per
Dollar
Date
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  Test
  Duration
Core i5 10600K
November 01 2020
  12 Hours, 45 Minutes
Core i9 10900K
October 16 2020
  10 Hours, 19 Minutes
Ryzen 5 2600
October 31 2020
  16 Hours, 2 Minutes
Ryzen 5 2600X
October 30 2020
  15 Hours, 31 Minutes
Ryzen 5 3600X
October 29 2020
  12 Hours, 32 Minutes
Ryzen 7 3800XT
October 27 2020
  11 Hours, 40 Minutes
Ryzen 9 3900X
October 18 2020
  10 Hours, 45 Minutes
Ryzen 9 3900XT
October 17 2020
  10 Hours, 27 Minutes
Ryzen 9 3950X
October 15 2020
  9 Hours, 57 Minutes
Ryzen 9 5900X
October 19 2020
  10 Hours, 19 Minutes
Ryzen 9 5950X
October 21 2020
  8 Hours, 23 Minutes
Ryzen 9 7950X
September 19 2022
  5 Hours, 59 Minutes
Ryzen 9 7900X
September 21 2022
  1 Hour, 49 Minutes
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  10 Hours, 30 Minutes

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Core i5 10600K

Processor: Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads), Motherboard: Gigabyte Z490 AORUS MASTER (F3 BIOS), Chipset: Intel Comet Lake PCH, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U

OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8 - Thermald 1.9.1
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18 + Python 3.8.5
Security Notes: itlb_multihit: KVM: Mitigation of VMX unsupported + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Core i9 10900K

Changed Processor to Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads).

Processor Change: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8
Security Change: itlb_multihit: KVM: Mitigation of VMX disabled + 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 2600

Changed Processor to AMD Ryzen 5 2600 Six-Core @ 3.40GHz (6 Cores / 12 Threads).

Changed Motherboard to ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS).

Changed Chipset to AMD 17h.

Processor Change: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x800820d
Security Change: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Ryzen 5 2600X

Changed Processor to AMD Ryzen 5 2600X Six-Core @ 3.60GHz (6 Cores / 12 Threads).

Ryzen 5 3600X

Changed Processor to AMD Ryzen 5 3600X 6-Core @ 3.80GHz (6 Cores / 12 Threads).

Changed Chipset to AMD Starship/Matisse.

Processor Change: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021
Security Change: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Ryzen 7 3800XT

Changed Processor to AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads).

Ryzen 9 3900X

Changed Processor to AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads).

Ryzen 9 3900XT

Changed Processor to AMD Ryzen 9 3900XT 12-Core @ 3.80GHz (12 Cores / 24 Threads).

Ryzen 9 3950X

Changed Processor to AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads).

Ryzen 9 5900X

Changed Processor to AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads).

Changed Motherboard to ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS).

Processor Change: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009
Security Change: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Ryzen 9 5950X

Changed Processor to AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads).

Ryzen 9 7950X

Processor: AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (0604 BIOS), Chipset: AMD Device 14d8, Memory: 64GB, Disk: 2000GB Samsung SSD 980 PRO 2TB + 4 x 1000GB INTEL SSDPELKX010T8 + 16GB, Graphics: AMD Radeon RX 6950 XT 16GB, Audio: AMD Navi 21/23, Monitor: U28D590, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411

OS: Fedora Linux 36, Kernel: 6.0.0-0.rc5.20220914git3245cb65fd91.39.vanilla.1.fc36.x86_64 (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.20.9 + Wayland, OpenGL: 4.6 Mesa 22.1.7 (LLVM 14.0.0 DRM 3.48 6.0.0-0.rc5.20220914git3245cb65fd91.39.vanilla.1.fc36.x86_64), Compiler: GCC 12.2.1 20220819, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: Transparent Huge Pages: madvise
Environment Notes: DEBUGINFOD_URLS=https://debuginfod.fedoraproject.org/
Compiler Notes: --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,fortran,objc,obj-c++,ada,go,d,lto --enable-libstdcxx-backtrace --enable-link-serialization=1 --enable-multilib --enable-offload-defaulted --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=i686 --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver
Processor Notes: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203
Java Notes: OpenJDK Runtime Environment (Red_Hat-17.0.4.1.1-1.fc36) (build 17.0.4.1+1)
Python Notes: Python 3.10.6
Security Notes: SELinux + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Ryzen 9 7900X

Processor: AMD Ryzen 9 7900X 12-Core @ 5.73GHz (12 Cores / 24 Threads), Motherboard: ASRock X670E Taichi (1.05.AS01 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: 4 x 1000GB INTEL SSDPELKX010T8 + 2000GB Samsung SSD 980 PRO 2TB + 16GB USB DISK 3.0, Graphics: AMD Radeon RX 6950 XT 16GB (2720/1124MHz), Audio: AMD Navi 21/23, Monitor: 27GN950, Network: Realtek Killer E3000 2.5GbE + Intel Wi-Fi 6 AX210/AX211/AX411

Kernel Notes: Transparent Huge Pages: madvise
Environment Notes: DEBUGINFOD_URLS=https://debuginfod.fedoraproject.org/
Compiler Notes: --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,fortran,objc,obj-c++,ada,go,d,lto --enable-libstdcxx-backtrace --enable-link-serialization=1 --enable-multilib --enable-offload-defaulted --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=i686 --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver
Processor Notes: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601201
Java Notes: OpenJDK Runtime Environment (Red_Hat-17.0.4.1.1-1.fc36) (build 17.0.4.1+1)
Python Notes: Python 3.10.6
Security Notes: SELinux + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Ryzen 9 5900X / Ryzen 9 5950X Linux PerformanceProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900XIntel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads)Gigabyte Z490 AORUS MASTER (F3 BIOS)Intel Comet Lake PCH16GB2000GB Corsair Force MP600 + 2000GBAMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz)AMD Navi 10 HDMI AudioASUS MG28UUbuntu 20.045.9.0-050900-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8amdgpu 19.1.04.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0)1.2.145GCC 9.3.0ext41920x1080Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads)AMD Ryzen 5 2600 Six-Core @ 3.40GHz (6 Cores / 12 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS)AMD 17hAMD Ryzen 5 2600X Six-Core @ 3.60GHz (6 Cores / 12 Threads)AMD Ryzen 5 3600X 6-Core @ 3.80GHz (6 Cores / 12 Threads)AMD Starship/MatisseAMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads)AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads)AMD Ryzen 9 3900XT 12-Core @ 3.80GHz (12 Cores / 24 Threads)AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads)AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS)AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads)AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR X670E HERO (0604 BIOS)AMD Device 14d864GB2000GB Samsung SSD 980 PRO 2TB + 4 x 1000GB INTEL SSDPELKX010T8 + 16GBAMD Radeon RX 6950 XT 16GBAMD Navi 21/23U28D590Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Fedora Linux 366.0.0-0.rc5.20220914git3245cb65fd91.39.vanilla.1.fc36.x86_64 (x86_64)GNOME Shell 42.4X Server 1.20.9 + Wayland4.6 Mesa 22.1.7 (LLVM 14.0.0 DRM 3.48 6.0.0-0.rc5.20220914git3245cb65fd91.39.vanilla.1.fc36.x86_64)GCC 12.2.1 202208193840x2160AMD Ryzen 9 7900X 12-Core @ 5.73GHz (12 Cores / 24 Threads)ASRock X670E Taichi (1.05.AS01 BIOS)32GB4 x 1000GB INTEL SSDPELKX010T8 + 2000GB Samsung SSD 980 PRO 2TB + 16GB USB DISK 3.0AMD Radeon RX 6950 XT 16GB (2720/1124MHz)27GN950Realtek Killer E3000 2.5GbE + Intel Wi-Fi 6 AX210/AX211/AX411OpenBenchmarking.orgCompiler Details- Core i5 10600K: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v- Core i9 10900K: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v- Ryzen 5 2600: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v- Ryzen 5 2600X: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v- Ryzen 5 3600X: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v- Ryzen 7 3800XT: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v- Ryzen 9 3900X: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v- Ryzen 9 3900XT: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v- Ryzen 9 3950X: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v- Ryzen 9 5900X: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v- Ryzen 9 5950X: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v- Ryzen 9 7950X: --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,fortran,objc,obj-c++,ada,go,d,lto --enable-libstdcxx-backtrace --enable-link-serialization=1 --enable-multilib --enable-offload-defaulted --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=i686 --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver- Ryzen 9 7900X: --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,fortran,objc,obj-c++,ada,go,d,lto --enable-libstdcxx-backtrace --enable-link-serialization=1 --enable-multilib --enable-offload-defaulted --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=i686 --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driverProcessor Details- Core i5 10600K: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8 - Thermald 1.9.1- Core i9 10900K: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8- Ryzen 5 2600: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x800820d- Ryzen 5 2600X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x800820d- Ryzen 5 3600X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- Ryzen 7 3800XT: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- Ryzen 9 3900X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- Ryzen 9 3900XT: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- Ryzen 9 3950X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- Ryzen 9 5900X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009- Ryzen 9 5950X: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009- Ryzen 9 7950X: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203- Ryzen 9 7900X: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601201Java Details- Core i5 10600K: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)- Core i9 10900K: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)- Ryzen 5 2600: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)- Ryzen 5 2600X: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)- Ryzen 5 3600X: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)- Ryzen 7 3800XT: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)- Ryzen 9 3900X: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)- Ryzen 9 3900XT: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)- Ryzen 9 3950X: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)- Ryzen 9 5900X: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)- Ryzen 9 5950X: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)- Ryzen 9 7950X: OpenJDK Runtime Environment (Red_Hat-17.0.4.1.1-1.fc36) (build 17.0.4.1+1)- Ryzen 9 7900X: OpenJDK Runtime Environment (Red_Hat-17.0.4.1.1-1.fc36) (build 17.0.4.1+1)Python Details- Core i5 10600K: Python 2.7.18 + Python 3.8.5- Core i9 10900K: Python 2.7.18 + Python 3.8.5- Ryzen 5 2600: Python 2.7.18 + Python 3.8.5- Ryzen 5 2600X: Python 2.7.18 + Python 3.8.5- Ryzen 5 3600X: Python 2.7.18 + Python 3.8.5- Ryzen 7 3800XT: Python 2.7.18 + Python 3.8.5- Ryzen 9 3900X: Python 2.7.18 + Python 3.8.5- Ryzen 9 3900XT: Python 2.7.18 + Python 3.8.5- Ryzen 9 3950X: Python 2.7.18 + Python 3.8.5- Ryzen 9 5900X: Python 2.7.18 + Python 3.8.5- Ryzen 9 5950X: Python 2.7.18 + Python 3.8.5- Ryzen 9 7950X: Python 3.10.6- Ryzen 9 7900X: Python 3.10.6Security Details- Core i5 10600K: itlb_multihit: KVM: Mitigation of VMX unsupported + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Core i9 10900K: itlb_multihit: KVM: Mitigation of VMX disabled + 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 2600: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 5 2600X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 5 3600X: 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 3800XT: 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 3900X: 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 3900XT: 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: 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 5900X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 5950X: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 7950X: SELinux + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 9 7900X: SELinux + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affectedKernel Details- Ryzen 9 7950X, Ryzen 9 7900X: Transparent Huge Pages: madviseEnvironment Details- Ryzen 9 7950X, Ryzen 9 7900X: DEBUGINFOD_URLS=https://debuginfod.fedoraproject.org/

Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900XLogarithmic Result OverviewPhoronix Test SuiteoneDNNSVT-AV1KvazaarTSCPEmbreex264SVT-VP9Monte Carlo Simulations of Ionised NebulaeNAMDx265CloverLeafTTSIOD 3D RendererFFTEdav1dZstd CompressionRodiniaDaCapo BenchmarkGraphicsMagickNebular Empirical Analysis ToolSciMarkVP9 libvpx EncodingLibRawPolyhedron Fortran BenchmarksCraftyTimed MAFFT AlignmentWireGuard + Linux Networking Stack Stress TestTimed MrBayes AnalysisC-BloscBYTE Unix BenchmarkFhourstonesIntel Open Image DenoiseACES DGEMMDolfynWebP Image EncodeBotan

Ryzen 9 5900X / Ryzen 9 5950X Linux Performanceaircrack-ng: onednn: Deconvolution Batch deconv_3d - f32 - CPUonednn: Deconvolution Batch deconv_1d - f32 - CPUsvt-av1: Enc Mode 8 - 1080psvt-av1: Enc Mode 4 - 1080ponednn: Recurrent Neural Network Training - f32 - CPUonednn: IP Batch 1D - f32 - CPUkvazaar: Bosphorus 4K - Slowembree: Pathtracer ISPC - Crownjohn-the-ripper: MD5kvazaar: Bosphorus 4K - Mediumopenvino: Age Gender Recognition Retail 0013 FP16 - CPUonednn: IP Batch All - f32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvkl: vklBenchmarkkvazaar: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 4K - Very Fastopenssl: RSA 4096-bit Performancetscp: AI Chess Performancekvazaar: Bosphorus 1080p - Slowv-ray: CPUsvt-vp9: Visual Quality Optimized - Bosphorus 1080pblender: Fishy Cat - CPU-Onlykvazaar: Bosphorus 1080p - Ultra Fastblender: Classroom - CPU-Onlyembree: Pathtracer ISPC - Asian Dragonstockfish: Total Timeembree: Pathtracer - Crownx264: H.264 Video Encodingtachyon: Total Timeluxcorerender: Rainbow Colors and Prismbuild-mplayer: Time To Compilebuild-ffmpeg: Time To Compileluxcorerender: DLSCasmfish: 1024 Hash Memory, 26 Depthcompress-7zip: Compress Speed Testmocassin: Dust 2D tau100.0neatbench: CPUblender: BMW27 - CPU-Onlykvazaar: Bosphorus 1080p - Very Fastsmallpt: Global Illumination Renderer; 128 Samplesopenvino: Person Detection 0106 FP16 - CPUscimark2: Dense LU Matrix Factorizationpovray: Trace Timeopenvino: Person Detection 0106 FP32 - CPUbasis: UASTC Level 3rodinia: OpenMP LavaMDopenvino: Face Detection 0106 FP16 - CPUsunflow: Global Illumination + Image Synthesisopenvino: Face Detection 0106 FP32 - CPUsvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pjohn-the-ripper: Blowfishnamd: ATPase Simulation - 327,506 Atomsappleseed: Disney Materialx265: Bosphorus 4Kembree: Pathtracer - Asian Dragonappleseed: Emilygraphics-magick: Enhanceddav1d: Chimera 1080pbrl-cad: VGR Performance Metricbasis: UASTC Level 2c-ray: Total Time - 4K, 16 Rays Per Pixelm-queens: Time To Solven-queens: Elapsed Timedav1d: Summer Nature 4Kcloverleaf: Lagrangian-Eulerian Hydrodynamicscompress-zstd: 19tensorflow-lite: Mobilenet Floattensorflow-lite: Inception ResNet V2tensorflow-lite: Inception V4build-imagemagick: Time To Compilettsiod-renderer: Phong Rendering With Soft-Shadow Mappingtensorflow-lite: SqueezeNetffte: N=256, 3D Complex FFT Routinerodinia: OpenMP CFD Solveryafaray: Total Time For Sample Scenegraphics-magick: Resizingavifenc: 0tensorflow-lite: Mobilenet Quanttungsten: Volumetric Causticavifenc: 2astcenc: Exhaustivecompress-zstd: 3astcenc: Thoroughtungsten: Non-Exponentiallammps: Rhodopsin Proteinappleseed: Material Testerbuild-linux-kernel: Time To Compiletungsten: Hairbuild-llvm: Time To Compilenumenta-nab: Earthgecko Skylinescimark2: Fast Fourier Transformrodinia: OpenMP Leukocytencnn: CPU - mobilenetdav1d: Chimera 1080p 10-bitpolyhedron: linpkncnn: CPU - squeezenetvpxenc: Speed 5numpy: gromacs: Water Benchmarkneat: numenta-nab: Relative Entropytensorflow-lite: NASNet Mobilemnn: inception-v3mnn: SqueezeNetV1.0build-php: Time To Compilenumenta-nab: Windowed Gaussianlibraw: Post-Processing Benchmarkperl-benchmark: Pod2htmlocrmypdf: Processing 60 Page PDF Documentncnn: CPU - yolov4-tinyncnn: CPU - resnet50vpxenc: Speed 0dacapobench: Jythonbuild-apache: Time To Compilepolyhedron: proteingmic: Plotting Isosurface Of A 3D Volume, 1000 Timescrafty: Elapsed Timemnn: MobileNetV2_224ncnn: CPU - efficientnet-b0mnn: resnet-v2-50radiance: Serialpyperformance: regex_compileradiance: SMP Parallelmafft: Multiple Sequence Alignment - LSU RNAdacapobench: Tradesoappyperformance: raytracenumenta-nab: Bayesian Changepointwireguard: rawtherapee: Total Benchmark Timepolyhedron: airmrbayes: Primate Phylogeny Analysisblosc: blosclzncnn: CPU-v2-v2 - mobilenet-v2sqlite-speedtest: Timed Time - Size 1,000pyperformance: python_startupscimark2: Compositegegl: Cropncnn: CPU - googlenetbyte: Dhrystone 2aom-av1: Speed 8 Realtimewebp: Defaultbasis: ETC1Sfhourstones: Complex Connect-4 Solvingbasis: UASTC Level 0oidn: Memorialmt-dgemm: Sustained Floating-Point Rateaom-av1: Speed 4 Two-Passplaidml: No - Inference - ResNet 50 - CPUplaidml: No - Inference - Inception V3 - CPUhint: FLOATavifenc: 8gegl: Color Enhancewebp: Quality 100tjbench: Decompression Throughputtungsten: Water Causticaom-av1: Speed 6 Two-Passncnn: CPU-v3-v3 - mobilenet-v3dolfyn: Computational Fluid Dynamicslibreoffice: 20 Documents To PDFbuild-gdb: Time To Compilepyperformance: pathlibncnn: CPU - resnet18aom-av1: Speed 6 Realtimeavifenc: 10scimark2: Monte Carloplaidml: No - Inference - Mobilenet - CPUrodinia: OpenMP HotSpot3Dwebp: Quality 100, Losslesswebp: Quality 100, Highest Compressionencode-mp3: WAV To MP3deepspeech: CPUgegl: Antialiaswebp: Quality 100, Lossless, Highest Compressionencode-flac: WAV To FLACespeak: Text-To-Speech Synthesispyperformance: nbodyinkscape: SVG Files To PNGgegl: Reflectgimp: resizeastcenc: Mediumselenium: ARES-6 - Google Chromeselenium: Speedometer - Google Chromeselenium: StyleBench - Google Chromegraphics-magick: Rotaternnoise: selenium: Jetstream 2 - Google Chromepybench: Total For Average Test Timesmontage: Mosaic of M17, K band, 1.5 deg x 1.5 degtnn: CPU - MobileNet v2selenium: Kraken - Google Chromeselenium: WASM collisionDetection - Firefoxtnn: CPU - SqueezeNet v1.1perl-benchmark: Interpretercaffe: AlexNet - CPU - 200octave-benchmark: gimp: rotatetesseract-ocr: Time To OCR 7 Imagesctx-clock: Context Switch Timecaffe: GoogleNet - CPU - 200gimp: auto-levelsbotan: CAST-256gegl: Scaleselenium: WASM collisionDetection - Google Chromeselenium: Jetstream 2 - Firefoxbotan: Twofishgegl: Rotate 90 Degreesselenium: Kraken - Firefoxselenium: WASM imageConvolute - Google Chromebotan: Blowfishmlpack: scikit_svmselenium: WASM imageConvolute - Firefoxselenium: Maze Solver - Firefoxselenium: Maze Solver - Google Chromemlpack: scikit_qdagimp: auto-levelsoctave-benchmark: gimp: rotategimp: resizetesseract-ocr: Time To OCR 7 Imagesncnn: CPU - alexnetncnn: CPU - vgg16ncnn: CPU - blazefacencnn: CPU - mnasnetncnn: CPU - shufflenet-v2ocrmypdf: Processing 60 Page PDF Documentdacapobench: H2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 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Aircrack-ng

Aircrack-ng is a tool for assessing WiFi/WLAN network security. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X20K40K60K80K100KSE +/- 7.26, N = 3SE +/- 14.95, N = 3SE +/- 7.25, N = 3SE +/- 7.18, N = 3SE +/- 13.11, N = 3SE +/- 22.25, N = 3SE +/- 45.94, N = 3SE +/- 14.11, N = 3SE +/- 24.81, N = 3SE +/- 55.59, N = 3SE +/- 44.40, N = 3SE +/- 610.12, N = 325302.4545909.659919.7910871.2022344.1530745.6142773.9743919.3158788.4761777.8574570.4293620.69-lhwloc-lhwloc-lhwloc-lhwloc-lhwloc-lhwloc-lhwloc-lhwloc-lhwloc1. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -ldl -lm -pthread
OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X16K32K48K64K80KMin: 25294.68 / Avg: 25302.45 / Max: 25316.96Min: 45888.8 / Avg: 45909.65 / Max: 45938.64Min: 9906.94 / Avg: 9919.79 / Max: 9932.05Min: 10860.69 / Avg: 10871.2 / Max: 10884.93Min: 22324.69 / Avg: 22344.15 / Max: 22369.1Min: 30721.28 / Avg: 30745.6 / Max: 30790.04Min: 42728.02 / Avg: 42773.97 / Max: 42865.85Min: 43901.61 / Avg: 43919.31 / Max: 43947.19Min: 58750.5 / Avg: 58788.47 / Max: 58835.11Min: 61717.88 / Avg: 61777.85 / Max: 61888.92Min: 74486.58 / Avg: 74570.42 / Max: 74637.66Min: 92405.4 / Avg: 93620.69 / Max: 94323.51. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -ldl -lm -pthread

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.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X510152025SE +/- 0.10039, N = 3SE +/- 0.00812, N = 3SE +/- 0.05307, N = 3SE +/- 0.09746, N = 3SE +/- 0.11188, N = 3SE +/- 0.02969, N = 3SE +/- 0.00218, N = 3SE +/- 0.01077, N = 3SE +/- 0.00337, N = 3SE +/- 0.01329, N = 3SE +/- 0.00365, N = 3SE +/- 0.00923, N = 3SE +/- 0.01498, N = 38.719104.7876618.9968017.585809.023366.865575.084605.253664.297134.716703.715872.399432.93415-lpthread - MIN: 8.56-lpthread - MIN: 4.68-lpthread - MIN: 17.75-lpthread - MIN: 16.17-lpthread - MIN: 8.56-lpthread - MIN: 6.67-lpthread - MIN: 5.02-lpthread - MIN: 5.14-lpthread - MIN: 4.2-lpthread - MIN: 4.35-lpthread - MIN: 3.651. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X510152025Min: 8.58 / Avg: 8.72 / Max: 8.92Min: 4.77 / Avg: 4.79 / Max: 4.8Min: 18.92 / Avg: 19 / Max: 19.1Min: 17.42 / Avg: 17.59 / Max: 17.76Min: 8.85 / Avg: 9.02 / Max: 9.23Min: 6.82 / Avg: 6.87 / Max: 6.92Min: 5.08 / Avg: 5.08 / Max: 5.09Min: 5.24 / Avg: 5.25 / Max: 5.27Min: 4.29 / Avg: 4.3 / Max: 4.3Min: 4.69 / Avg: 4.72 / Max: 4.73Min: 3.71 / Avg: 3.72 / Max: 3.72Min: 2.38 / Avg: 2.4 / Max: 2.41Min: 2.91 / Avg: 2.93 / Max: 2.961. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X3691215SE +/- 0.02430, N = 3SE +/- 0.01117, N = 3SE +/- 0.19687, N = 3SE +/- 0.11026, N = 10SE +/- 0.02579, N = 3SE +/- 0.06515, N = 15SE +/- 0.03302, N = 3SE +/- 0.00634, N = 3SE +/- 0.00820, N = 3SE +/- 0.00462, N = 3SE +/- 0.00617, N = 3SE +/- 0.02131, N = 10SE +/- 0.00190, N = 35.459672.9625312.6867011.884506.590164.488763.264373.153042.476062.724672.276101.946052.30017-lpthread - MIN: 5.25-lpthread - MIN: 2.92-lpthread - MIN: 12.17-lpthread - MIN: 11.22-lpthread - MIN: 6.32-lpthread - MIN: 4.22-lpthread - MIN: 3.14-lpthread - MIN: 3.08-lpthread - MIN: 2.42-lpthread - MIN: 2.66-lpthread - MIN: 2.2MIN: 1.81MIN: 2.211. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X48121620Min: 5.43 / Avg: 5.46 / Max: 5.51Min: 2.95 / Avg: 2.96 / Max: 2.98Min: 12.39 / Avg: 12.69 / Max: 13.06Min: 11.53 / Avg: 11.88 / Max: 12.69Min: 6.55 / Avg: 6.59 / Max: 6.64Min: 4.29 / Avg: 4.49 / Max: 5.23Min: 3.2 / Avg: 3.26 / Max: 3.31Min: 3.14 / Avg: 3.15 / Max: 3.16Min: 2.47 / Avg: 2.48 / Max: 2.49Min: 2.72 / Avg: 2.72 / Max: 2.73Min: 2.26 / Avg: 2.28 / Max: 2.28Min: 1.92 / Avg: 1.95 / Max: 2.14Min: 2.3 / Avg: 2.3 / Max: 2.31. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X20406080100SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.94, N = 3SE +/- 0.32, N = 321.3838.2313.4214.7418.5128.0035.9536.5943.3343.1548.7184.3176.201. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X1632486480Min: 21.27 / Avg: 21.38 / Max: 21.47Min: 38.17 / Avg: 38.23 / Max: 38.3Min: 13.34 / Avg: 13.42 / Max: 13.49Min: 14.68 / Avg: 14.74 / Max: 14.81Min: 18.49 / Avg: 18.51 / Max: 18.53Min: 27.9 / Avg: 28 / Max: 28.15Min: 35.88 / Avg: 35.95 / Max: 35.99Min: 36.43 / Avg: 36.59 / Max: 36.91Min: 43.12 / Avg: 43.33 / Max: 43.44Min: 43.1 / Avg: 43.15 / Max: 43.23Min: 48.45 / Avg: 48.71 / Max: 49.01Min: 82.99 / Avg: 84.31 / Max: 86.11Min: 75.72 / Avg: 76.2 / Max: 76.811. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X3691215SE +/- 0.007, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.011, N = 3SE +/- 0.003, N = 3SE +/- 0.007, N = 3SE +/- 0.013, N = 3SE +/- 0.009, N = 3SE +/- 0.020, N = 3SE +/- 0.124, N = 3SE +/- 0.081, N = 32.7074.3201.7521.9162.4653.3474.4114.4935.3205.3156.06310.3369.6421. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X3691215Min: 2.69 / Avg: 2.71 / Max: 2.71Min: 4.31 / Avg: 4.32 / Max: 4.33Min: 1.75 / Avg: 1.75 / Max: 1.75Min: 1.91 / Avg: 1.92 / Max: 1.92Min: 2.46 / Avg: 2.47 / Max: 2.47Min: 3.33 / Avg: 3.35 / Max: 3.37Min: 4.41 / Avg: 4.41 / Max: 4.42Min: 4.48 / Avg: 4.49 / Max: 4.51Min: 5.3 / Avg: 5.32 / Max: 5.34Min: 5.3 / Avg: 5.32 / Max: 5.33Min: 6.04 / Avg: 6.06 / Max: 6.1Min: 10.09 / Avg: 10.34 / Max: 10.48Min: 9.48 / Avg: 9.64 / Max: 9.751. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X160320480640800SE +/- 1.39, N = 3SE +/- 2.01, N = 3SE +/- 1.93, N = 3SE +/- 0.57, N = 3SE +/- 1.94, N = 3SE +/- 0.55, N = 3SE +/- 1.41, N = 3SE +/- 0.37, N = 3SE +/- 1.14, N = 3SE +/- 0.56, N = 3SE +/- 0.55, N = 3SE +/- 0.57, N = 3SE +/- 0.04, N = 3344.92214.09722.40658.70318.34263.00232.66220.22207.12179.87161.22126.75123.32-lpthread - MIN: 339.7-lpthread - MIN: 206.29-lpthread - MIN: 718.59-lpthread - MIN: 654.48-lpthread - MIN: 312.42-lpthread - MIN: 260.82-lpthread - MIN: 229.79-lpthread - MIN: 218.35-lpthread - MIN: 203.26-lpthread - MIN: 178.58-lpthread - MIN: 159.59MIN: 119.47MIN: 1201. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X130260390520650Min: 342.3 / Avg: 344.92 / Max: 347.01Min: 210.4 / Avg: 214.09 / Max: 217.32Min: 720.46 / Avg: 722.4 / Max: 726.26Min: 657.56 / Avg: 658.7 / Max: 659.3Min: 315 / Avg: 318.34 / Max: 321.73Min: 262.42 / Avg: 263 / Max: 264.1Min: 231.03 / Avg: 232.66 / Max: 235.46Min: 219.52 / Avg: 220.22 / Max: 220.77Min: 204.85 / Avg: 207.12 / Max: 208.38Min: 179.19 / Avg: 179.87 / Max: 180.97Min: 160.17 / Avg: 161.22 / Max: 162.01Min: 126.09 / Avg: 126.75 / Max: 127.89Min: 123.27 / Avg: 123.32 / Max: 123.411. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X3691215SE +/- 0.01019, N = 3SE +/- 0.01927, N = 3SE +/- 0.01746, N = 3SE +/- 0.01059, N = 3SE +/- 0.04407, N = 15SE +/- 0.06254, N = 15SE +/- 0.04241, N = 7SE +/- 0.01604, N = 3SE +/- 0.03194, N = 3SE +/- 0.01689, N = 3SE +/- 0.00620, N = 3SE +/- 0.01030, N = 3SE +/- 0.00418, N = 34.336473.2856210.444809.610055.736876.236463.800314.813804.039263.003383.209101.824712.16146-lpthread - MIN: 4.21-lpthread - MIN: 3.02-lpthread - MIN: 10.22-lpthread - MIN: 9.21-lpthread - MIN: 5.47-lpthread - MIN: 5.63-lpthread - MIN: 3.45-lpthread - MIN: 4.58-lpthread - MIN: 3.77-lpthread - MIN: 2.77-lpthread - MIN: 3.05MIN: 1.981. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X3691215Min: 4.32 / Avg: 4.34 / Max: 4.36Min: 3.25 / Avg: 3.29 / Max: 3.31Min: 10.42 / Avg: 10.44 / Max: 10.48Min: 9.59 / Avg: 9.61 / Max: 9.63Min: 5.59 / Avg: 5.74 / Max: 6.29Min: 5.78 / Avg: 6.24 / Max: 6.57Min: 3.69 / Avg: 3.8 / Max: 4.01Min: 4.78 / Avg: 4.81 / Max: 4.84Min: 3.98 / Avg: 4.04 / Max: 4.09Min: 2.98 / Avg: 3 / Max: 3.03Min: 3.2 / Avg: 3.21 / Max: 3.22Min: 1.81 / Avg: 1.82 / Max: 1.84Min: 2.16 / Avg: 2.16 / Max: 2.171. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: SlowCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X48121620SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 33.936.802.913.194.505.967.377.5610.268.4710.8016.2812.771. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: SlowCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X48121620Min: 3.93 / Avg: 3.93 / Max: 3.94Min: 6.78 / Avg: 6.8 / Max: 6.85Min: 2.9 / Avg: 2.91 / Max: 2.91Min: 3.19 / Avg: 3.19 / Max: 3.2Min: 4.49 / Avg: 4.5 / Max: 4.51Min: 5.95 / Avg: 5.96 / Max: 5.96Min: 7.35 / Avg: 7.37 / Max: 7.39Min: 7.56 / Avg: 7.56 / Max: 7.57Min: 10.24 / Avg: 10.26 / Max: 10.29Min: 8.44 / Avg: 8.47 / Max: 8.5Min: 10.77 / Avg: 10.8 / Max: 10.84Min: 16 / Avg: 16.28 / Max: 16.48Min: 12.63 / Avg: 12.77 / Max: 12.971. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X816243240SE +/- 0.1152, N = 3SE +/- 0.0304, N = 3SE +/- 0.0129, N = 3SE +/- 0.0174, N = 3SE +/- 0.0234, N = 3SE +/- 0.0316, N = 3SE +/- 0.0177, N = 3SE +/- 0.0220, N = 3SE +/- 0.1561, N = 3SE +/- 0.0395, N = 3SE +/- 0.1054, N = 3SE +/- 0.1256, N = 3SE +/- 0.0406, N = 39.794617.70415.98126.51248.302511.048214.959415.287319.874619.467923.784233.352727.5336MIN: 9.48 / MAX: 10.12MIN: 17.49 / MAX: 18.13MIN: 5.94 / MAX: 6.09MIN: 6.45 / MAX: 6.62MIN: 8.23 / MAX: 8.46MIN: 10.81 / MAX: 11.32MIN: 14.82 / MAX: 15.29MIN: 15.12 / MAX: 15.64MIN: 19.42 / MAX: 20.41MIN: 19.24 / MAX: 19.87MIN: 23.34 / MAX: 24.54MIN: 31.68 / MAX: 34.7MIN: 27.18 / MAX: 28.65
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X714212835Min: 9.57 / Avg: 9.79 / Max: 9.95Min: 17.64 / Avg: 17.7 / Max: 17.74Min: 5.97 / Avg: 5.98 / Max: 6.01Min: 6.48 / Avg: 6.51 / Max: 6.54Min: 8.28 / Avg: 8.3 / Max: 8.35Min: 10.99 / Avg: 11.05 / Max: 11.09Min: 14.93 / Avg: 14.96 / Max: 14.99Min: 15.24 / Avg: 15.29 / Max: 15.31Min: 19.56 / Avg: 19.87 / Max: 20.04Min: 19.4 / Avg: 19.47 / Max: 19.53Min: 23.58 / Avg: 23.78 / Max: 23.94Min: 33.18 / Avg: 33.35 / Max: 33.6Min: 27.47 / Avg: 27.53 / Max: 27.61

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X500K1000K1500K2000K2500KSE +/- 620.08, N = 3SE +/- 10837.18, N = 3SE +/- 543.95, N = 3SE +/- 64.00, N = 3SE +/- 390.65, N = 3SE +/- 1317.78, N = 3SE +/- 1201.85, N = 3SE +/- 1666.67, N = 3SE +/- 9609.02, N = 3SE +/- 2027.59, N = 3SE +/- 577.35, N = 3752998133133340257244300872408399159913666671413667186800018406672226000-lgmp1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X400K800K1200K1600K2000KMin: 752179 / Avg: 752998 / Max: 754214Min: 1320000 / Avg: 1331333.33 / Max: 1353000Min: 402009 / Avg: 402572.33 / Max: 403660Min: 442944 / Avg: 443008 / Max: 443136Min: 723532 / Avg: 724082.67 / Max: 724838Min: 989491 / Avg: 991599 / Max: 994023Min: 1365000 / Avg: 1366666.67 / Max: 1369000Min: 1412000 / Avg: 1413666.67 / Max: 1417000Min: 1849000 / Avg: 1868000 / Max: 1880000Min: 1837000 / Avg: 1840666.67 / Max: 1844000Min: 2225000 / Avg: 2226000 / Max: 22270001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2

Test: MD5

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: john-the-ripper: line 3: ./john: No such file or directory

Ryzen 9 7900X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: john-the-ripper: line 3: ./john: No such file or directory

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X48121620SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.20, N = 7SE +/- 0.02, N = 34.046.962.973.274.596.077.517.7110.408.6010.9416.3413.201. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X48121620Min: 4.04 / Avg: 4.04 / Max: 4.05Min: 6.94 / Avg: 6.96 / Max: 7Min: 2.97 / Avg: 2.97 / Max: 2.97Min: 3.26 / Avg: 3.27 / Max: 3.27Min: 4.59 / Avg: 4.59 / Max: 4.59Min: 6.06 / Avg: 6.07 / Max: 6.07Min: 7.49 / Avg: 7.51 / Max: 7.52Min: 7.69 / Avg: 7.71 / Max: 7.73Min: 10.4 / Avg: 10.4 / Max: 10.41Min: 8.59 / Avg: 8.6 / Max: 8.61Min: 10.92 / Avg: 10.94 / Max: 10.96Min: 15.14 / Avg: 16.34 / Max: 16.6Min: 13.17 / Avg: 13.2 / Max: 13.221. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X3K6K9K12K15KSE +/- 15.37, N = 3SE +/- 17.62, N = 3SE +/- 2.54, N = 3SE +/- 4.78, N = 3SE +/- 10.70, N = 3SE +/- 17.51, N = 3SE +/- 41.23, N = 3SE +/- 36.37, N = 3SE +/- 122.60, N = 3SE +/- 11.51, N = 3SE +/- 16.60, N = 35506.569817.082518.632742.775795.797134.909097.748760.8412280.8510933.3313580.751. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X2K4K6K8K10KMin: 5489.53 / Avg: 5506.56 / Max: 5537.23Min: 9786.88 / Avg: 9817.08 / Max: 9847.92Min: 2513.62 / Avg: 2518.63 / Max: 2521.9Min: 2733.7 / Avg: 2742.77 / Max: 2749.91Min: 5774.8 / Avg: 5795.79 / Max: 5809.87Min: 7110.01 / Avg: 7134.9 / Max: 7168.67Min: 9028.98 / Avg: 9097.74 / Max: 9171.53Min: 8689.71 / Avg: 8760.84 / Max: 8809.57Min: 12100.42 / Avg: 12280.85 / Max: 12514.87Min: 10921.41 / Avg: 10933.33 / Max: 10956.34Min: 13547.59 / Avg: 13580.75 / Max: 13598.951. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: openvino: line 2: ./openvino-github-2021/bin/intel64/Release/benchmark_app: No such file or directory

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.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X306090120150SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 2.13, N = 3SE +/- 0.50, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 3SE +/- 0.15, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 364.9457.17145.40132.8871.4664.0251.4256.2347.4748.4145.7427.0230.18-lpthread - MIN: 63.43-lpthread - MIN: 56.54-lpthread - MIN: 139.35-lpthread - MIN: 128.55-lpthread - MIN: 70-lpthread - MIN: 62.9-lpthread - MIN: 50.48-lpthread - MIN: 55.46-lpthread - MIN: 46.54-lpthread - MIN: 47.56-lpthread - MIN: 44.74MIN: 25.48MIN: 28.291. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X306090120150Min: 64.8 / Avg: 64.94 / Max: 65.04Min: 57.01 / Avg: 57.17 / Max: 57.26Min: 141.4 / Avg: 145.4 / Max: 148.65Min: 131.9 / Avg: 132.88 / Max: 133.57Min: 71.33 / Avg: 71.46 / Max: 71.63Min: 63.95 / Avg: 64.02 / Max: 64.07Min: 51.26 / Avg: 51.42 / Max: 51.56Min: 56.16 / Avg: 56.23 / Max: 56.29Min: 47.42 / Avg: 47.47 / Max: 47.56Min: 48.07 / Avg: 48.41 / Max: 48.63Min: 45.56 / Avg: 45.74 / Max: 46.03Min: 26.99 / Avg: 27.02 / Max: 27.04Min: 30.07 / Avg: 30.18 / Max: 30.261. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X3K6K9K12K15KSE +/- 16.16, N = 3SE +/- 69.83, N = 3SE +/- 2.99, N = 3SE +/- 2.00, N = 3SE +/- 26.31, N = 3SE +/- 38.82, N = 3SE +/- 28.66, N = 3SE +/- 3.76, N = 3SE +/- 34.34, N = 3SE +/- 8.30, N = 3SE +/- 14.40, N = 35477.659817.402515.452728.145700.857092.349125.698748.7912650.2410990.5413518.291. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X2K4K6K8K10KMin: 5450.51 / Avg: 5477.65 / Max: 5506.43Min: 9677.91 / Avg: 9817.4 / Max: 9893.09Min: 2510.18 / Avg: 2515.45 / Max: 2520.54Min: 2724.48 / Avg: 2728.14 / Max: 2731.37Min: 5667.58 / Avg: 5700.85 / Max: 5752.79Min: 7014.79 / Avg: 7092.34 / Max: 7134.37Min: 9092.63 / Avg: 9125.69 / Max: 9182.78Min: 8741.34 / Avg: 8748.79 / Max: 8753.43Min: 12612.9 / Avg: 12650.24 / Max: 12718.83Min: 10974.05 / Avg: 10990.54 / Max: 11000.47Min: 13491.95 / Avg: 13518.29 / Max: 13541.561. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: openvino: line 2: ./openvino-github-2021/bin/intel64/Release/benchmark_app: No such file or directory

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.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X80160240320400SE +/- 0.03, N = 3SE +/- 0.35, N = 3SE +/- 0.17, N = 3SE +/- 0.28, N = 3SE +/- 0.14, N = 3SE +/- 0.22, N = 3SE +/- 0.24, N = 3SE +/- 0.49, N = 3SE +/- 0.73, N = 3SE +/- 1.28, N = 3SE +/- 0.05, N = 3SE +/- 1.76, N = 3114.36192.7567.4275.1494.03128.78177.75182.97236.58233.83286.17360.00MIN: 1 / MAX: 458MIN: 1 / MAX: 767MIN: 1 / MAX: 225MIN: 1 / MAX: 251MIN: 1 / MAX: 339MIN: 1 / MAX: 463MIN: 1 / MAX: 634MIN: 1 / MAX: 652MIN: 1 / MAX: 853MIN: 1 / MAX: 918MIN: 1 / MAX: 1102MIN: 1 / MAX: 1359
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X60120180240300Min: 114.33 / Avg: 114.36 / Max: 114.42Min: 192.25 / Avg: 192.75 / Max: 193.42Min: 67.17 / Avg: 67.42 / Max: 67.75Min: 74.58 / Avg: 75.14 / Max: 75.5Min: 93.75 / Avg: 94.03 / Max: 94.17Min: 128.33 / Avg: 128.78 / Max: 129Min: 177.33 / Avg: 177.75 / Max: 178.17Min: 182 / Avg: 182.97 / Max: 183.58Min: 235.58 / Avg: 236.58 / Max: 238Min: 231.67 / Avg: 233.83 / Max: 236.08Min: 286.08 / Avg: 286.17 / Max: 286.25Min: 357 / Avg: 360.33 / Max: 363

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X20406080100SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.92, N = 3SE +/- 0.13, N = 320.8535.2514.7416.1722.8430.1336.0836.8745.9241.7048.9977.1865.931. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X1530456075Min: 20.8 / Avg: 20.85 / Max: 20.88Min: 35.17 / Avg: 35.25 / Max: 35.3Min: 14.72 / Avg: 14.74 / Max: 14.77Min: 16.15 / Avg: 16.17 / Max: 16.21Min: 22.82 / Avg: 22.84 / Max: 22.87Min: 30 / Avg: 30.13 / Max: 30.2Min: 35.97 / Avg: 36.08 / Max: 36.28Min: 36.75 / Avg: 36.87 / Max: 37.02Min: 45.62 / Avg: 45.92 / Max: 46.18Min: 41.63 / Avg: 41.7 / Max: 41.77Min: 48.77 / Avg: 48.99 / Max: 49.15Min: 75.97 / Avg: 77.18 / Max: 78.99Min: 65.69 / Avg: 65.93 / Max: 66.141. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X1428425670SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.88, N = 12SE +/- 0.21, N = 316.6729.3612.1313.3918.3626.2028.1328.5637.1631.4739.3763.3451.841. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X1224364860Min: 16.63 / Avg: 16.67 / Max: 16.74Min: 29.32 / Avg: 29.36 / Max: 29.41Min: 12.1 / Avg: 12.13 / Max: 12.16Min: 13.37 / Avg: 13.39 / Max: 13.41Min: 18.34 / Avg: 18.36 / Max: 18.37Min: 26.16 / Avg: 26.2 / Max: 26.25Min: 28.11 / Avg: 28.13 / Max: 28.15Min: 28.45 / Avg: 28.56 / Max: 28.67Min: 37.14 / Avg: 37.16 / Max: 37.17Min: 31.44 / Avg: 31.47 / Max: 31.49Min: 39.31 / Avg: 39.37 / Max: 39.49Min: 53.71 / Avg: 63.34 / Max: 64.63Min: 51.61 / Avg: 51.84 / Max: 52.261. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X1020304050SE +/- 0.00, N = 3SE +/- 0.08, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 311.4719.578.118.9012.7516.9520.6421.1625.1723.7426.5942.0536.081. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X918273645Min: 11.46 / Avg: 11.47 / Max: 11.47Min: 19.43 / Avg: 19.57 / Max: 19.71Min: 8.11 / Avg: 8.11 / Max: 8.12Min: 8.9 / Avg: 8.9 / Max: 8.91Min: 12.74 / Avg: 12.75 / Max: 12.76Min: 16.92 / Avg: 16.95 / Max: 16.99Min: 20.6 / Avg: 20.64 / Max: 20.68Min: 21.12 / Avg: 21.16 / Max: 21.19Min: 25.14 / Avg: 25.17 / Max: 25.21Min: 23.7 / Avg: 23.74 / Max: 23.76Min: 26.56 / Avg: 26.59 / Max: 26.63Min: 41.92 / Avg: 42.05 / Max: 42.15Min: 35.98 / Avg: 36.08 / Max: 36.211. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test measures the RSA 4096-bit performance of OpenSSL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X13002600390052006500SE +/- 6.82, N = 3SE +/- 13.38, N = 3SE +/- 0.28, N = 3SE +/- 1.43, N = 3SE +/- 0.12, N = 3SE +/- 0.77, N = 3SE +/- 1.56, N = 3SE +/- 2.69, N = 3SE +/- 0.54, N = 3SE +/- 0.46, N = 3SE +/- 5.73, N = 3SE +/- 6.78, N = 32038.23712.31157.01288.71806.42490.63489.83551.04743.43858.34897.35880.51. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X10002000300040005000Min: 2025.5 / Avg: 2038.17 / Max: 2048.9Min: 3698.8 / Avg: 3712.33 / Max: 3739.1Min: 1156.4 / Avg: 1156.97 / Max: 1157.3Min: 1286.4 / Avg: 1288.67 / Max: 1291.3Min: 1806.2 / Avg: 1806.43 / Max: 1806.6Min: 2489.1 / Avg: 2490.63 / Max: 2491.5Min: 3487.9 / Avg: 3489.8 / Max: 3492.9Min: 3546 / Avg: 3551.03 / Max: 3555.2Min: 4742.8 / Avg: 4743.43 / Max: 4744.5Min: 3857.4 / Avg: 3858.3 / Max: 3858.9Min: 4888.4 / Avg: 4897.27 / Max: 4908Min: 5870.6 / Avg: 5880.53 / Max: 5893.51. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

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.

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X500K1000K1500K2000K2500KSE +/- 2392.41, N = 5SE +/- 2615.51, N = 5SE +/- 26659.00, N = 25SE +/- 3891.87, N = 5SE +/- 2742.19, N = 5SE +/- 11294.71, N = 5SE +/- 3070.42, N = 5SE +/- 9606.45, N = 18SE +/- 4368.74, N = 5SE +/- 2205.85, N = 5SE +/- 21208.90, N = 5SE +/- 4970.26, N = 5SE +/- 2774.78, N = 51482195157277049152011254681327838140183213769721385206140725319600741970776236592724967391. (CC) gcc options: -O3 -march=native
OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X400K800K1200K1600K2000KMin: 1476616 / Avg: 1482194.6 / Max: 1488589Min: 1564710 / Avg: 1572769.8 / Max: 1578160Min: 341333 / Avg: 491519.92 / Max: 1024000Min: 1114935 / Avg: 1125468.2 / Max: 1135624Min: 1317650 / Avg: 1327837.8 / Max: 1333602Min: 1380395 / Avg: 1401831.6 / Max: 1434317Min: 1366694 / Avg: 1376971.8 / Max: 1383864Min: 1314505 / Avg: 1385205.72 / Max: 1441827Min: 1397913 / Avg: 1407253 / Max: 1423198Min: 1953113 / Avg: 1960073.8 / Max: 1967064Min: 1919087 / Avg: 1970775.8 / Max: 2047501Min: 2353752 / Avg: 2365926.6 / Max: 2374043Min: 2492208 / Avg: 2496739.2 / Max: 25035361. (CC) gcc options: -O3 -march=native

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: SlowCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X1326395265SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 1.64, N = 14SE +/- 0.28, N = 316.1228.3911.8113.0217.8925.5427.3427.6636.2630.5638.4359.9050.751. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: SlowCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X1224364860Min: 16.09 / Avg: 16.12 / Max: 16.15Min: 28.31 / Avg: 28.39 / Max: 28.47Min: 11.8 / Avg: 11.81 / Max: 11.82Min: 13.01 / Avg: 13.02 / Max: 13.02Min: 17.87 / Avg: 17.89 / Max: 17.9Min: 25.4 / Avg: 25.54 / Max: 25.62Min: 27.29 / Avg: 27.34 / Max: 27.38Min: 27.59 / Avg: 27.66 / Max: 27.71Min: 36.21 / Avg: 36.26 / Max: 36.3Min: 30.35 / Avg: 30.56 / Max: 30.72Min: 38.39 / Avg: 38.43 / Max: 38.48Min: 41.13 / Avg: 59.9 / Max: 62.96Min: 50.21 / Avg: 50.75 / Max: 51.171. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X9K18K27K36K45KSE +/- 22.70, N = 3SE +/- 95.40, N = 3SE +/- 19.88, N = 3SE +/- 17.53, N = 3SE +/- 45.92, N = 3SE +/- 50.98, N = 3SE +/- 51.29, N = 3SE +/- 54.08, N = 3SE +/- 105.68, N = 3SE +/- 55.57, N = 3SE +/- 90.96, N = 3SE +/- 185.90, N = 31126119765872894991140915422209102151728416264203256143890
OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X8K16K24K32K40KMin: 11230 / Avg: 11260.67 / Max: 11305Min: 19586 / Avg: 19764.67 / Max: 19912Min: 8701 / Avg: 8728.33 / Max: 8767Min: 9474 / Avg: 9499.33 / Max: 9533Min: 11331 / Avg: 11409 / Max: 11490Min: 15341 / Avg: 15421.67 / Max: 15516Min: 20826 / Avg: 20910 / Max: 21003Min: 21433 / Avg: 21517 / Max: 21618Min: 28242 / Avg: 28416.33 / Max: 28607Min: 26344 / Avg: 26419.67 / Max: 26528Min: 32428 / Avg: 32561 / Max: 32735Min: 43521 / Avg: 43890.33 / Max: 44112

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.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X80160240320400SE +/- 0.14, N = 3SE +/- 0.17, N = 3SE +/- 0.24, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.20, N = 3SE +/- 0.46, N = 3SE +/- 0.41, N = 3SE +/- 0.53, N = 3SE +/- 0.23, N = 3SE +/- 0.45, N = 3SE +/- 0.68, N = 3SE +/- 0.52, N = 3122.76186.0175.5881.38109.32119.86180.89180.29200.83206.64220.35373.06339.301. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X70140210280350Min: 122.52 / Avg: 122.76 / Max: 123Min: 185.76 / Avg: 186.01 / Max: 186.34Min: 75.26 / Avg: 75.58 / Max: 76.04Min: 81.3 / Avg: 81.38 / Max: 81.42Min: 109.15 / Avg: 109.32 / Max: 109.49Min: 119.55 / Avg: 119.86 / Max: 120.22Min: 179.96 / Avg: 180.89 / Max: 181.38Min: 179.8 / Avg: 180.29 / Max: 181.1Min: 199.93 / Avg: 200.83 / Max: 201.75Min: 206.26 / Avg: 206.64 / Max: 207.04Min: 219.54 / Avg: 220.35 / Max: 221.08Min: 371.75 / Avg: 373.06 / Max: 374.06Min: 338.6 / Avg: 339.3 / Max: 340.331. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X80160240320400SE +/- 0.45, N = 3SE +/- 0.98, N = 3SE +/- 0.46, N = 3SE +/- 0.18, N = 3SE +/- 0.18, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.26, N = 3288.99162.99366.41334.41271.38200.06146.60141.23107.97124.61102.2675.12
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X70140210280350Min: 288.21 / Avg: 288.99 / Max: 289.76Min: 161.05 / Avg: 162.99 / Max: 164.18Min: 365.54 / Avg: 366.41 / Max: 367.09Min: 334.09 / Avg: 334.41 / Max: 334.7Min: 271.04 / Avg: 271.38 / Max: 271.66Min: 199.96 / Avg: 200.06 / Max: 200.13Min: 146.41 / Avg: 146.6 / Max: 146.93Min: 140.95 / Avg: 141.23 / Max: 141.54Min: 107.94 / Avg: 107.97 / Max: 107.98Min: 124.48 / Avg: 124.61 / Max: 124.68Min: 102.14 / Avg: 102.26 / Max: 102.41Min: 74.83 / Avg: 75.12 / Max: 75.63

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X60120180240300SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.43, N = 3SE +/- 0.22, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.42, N = 3SE +/- 3.70, N = 3SE +/- 2.52, N = 379.10129.6456.0261.8185.57112.90117.56119.07145.91130.30155.81270.34225.161. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X50100150200250Min: 79.01 / Avg: 79.1 / Max: 79.22Min: 129.42 / Avg: 129.64 / Max: 129.79Min: 55.71 / Avg: 56.02 / Max: 56.24Min: 61.62 / Avg: 61.81 / Max: 61.99Min: 85.34 / Avg: 85.57 / Max: 85.71Min: 112.35 / Avg: 112.9 / Max: 113.74Min: 117.16 / Avg: 117.56 / Max: 117.9Min: 118.75 / Avg: 119.07 / Max: 119.27Min: 145.74 / Avg: 145.91 / Max: 146.13Min: 130.08 / Avg: 130.3 / Max: 130.57Min: 155.2 / Avg: 155.81 / Max: 156.61Min: 263.76 / Avg: 270.34 / Max: 276.58Min: 220.16 / Avg: 225.16 / Max: 228.181. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X160320480640800SE +/- 1.21, N = 3SE +/- 0.66, N = 3SE +/- 0.96, N = 3SE +/- 1.30, N = 3SE +/- 0.62, N = 3SE +/- 0.22, N = 3SE +/- 0.42, N = 3SE +/- 0.24, N = 3SE +/- 0.14, N = 3SE +/- 0.31, N = 3SE +/- 0.12, N = 3SE +/- 0.19, N = 3631.26352.16765.16695.98596.32433.37317.03303.72230.94277.96226.15159.60
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X130260390520650Min: 629.41 / Avg: 631.26 / Max: 633.53Min: 351.1 / Avg: 352.16 / Max: 353.36Min: 763.94 / Avg: 765.16 / Max: 767.06Min: 693.59 / Avg: 695.98 / Max: 698.07Min: 595.18 / Avg: 596.32 / Max: 597.31Min: 433.06 / Avg: 433.37 / Max: 433.79Min: 316.2 / Avg: 317.03 / Max: 317.56Min: 303.44 / Avg: 303.72 / Max: 304.19Min: 230.68 / Avg: 230.94 / Max: 231.16Min: 277.47 / Avg: 277.96 / Max: 278.54Min: 225.93 / Avg: 226.15 / Max: 226.33Min: 159.22 / Avg: 159.6 / Max: 159.85

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian DragonCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X816243240SE +/- 0.0502, N = 3SE +/- 0.0173, N = 3SE +/- 0.0210, N = 3SE +/- 0.0101, N = 3SE +/- 0.0507, N = 3SE +/- 0.0774, N = 3SE +/- 0.1843, N = 3SE +/- 0.0456, N = 3SE +/- 0.1616, N = 3SE +/- 0.0158, N = 3SE +/- 0.1286, N = 3SE +/- 0.1252, N = 3SE +/- 0.1515, N = 312.337020.42997.11597.58569.512012.400716.525516.832321.663520.479825.589734.055930.5280MIN: 12.23 / MAX: 12.58MIN: 20.28 / MAX: 20.88MIN: 7.05 / MAX: 7.23MIN: 7.54 / MAX: 7.69MIN: 9.4 / MAX: 9.74MIN: 12.25 / MAX: 12.74MIN: 15.44 / MAX: 17.03MIN: 16.65 / MAX: 17.13MIN: 21.35 / MAX: 22.34MIN: 20.33 / MAX: 20.81MIN: 25.22 / MAX: 26.09MIN: 33.6 / MAX: 35.13MIN: 29.5 / MAX: 31.28
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian DragonCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X714212835Min: 12.28 / Avg: 12.34 / Max: 12.44Min: 20.4 / Avg: 20.43 / Max: 20.46Min: 7.07 / Avg: 7.12 / Max: 7.14Min: 7.57 / Avg: 7.59 / Max: 7.6Min: 9.44 / Avg: 9.51 / Max: 9.61Min: 12.31 / Avg: 12.4 / Max: 12.55Min: 16.18 / Avg: 16.53 / Max: 16.8Min: 16.75 / Avg: 16.83 / Max: 16.9Min: 21.47 / Avg: 21.66 / Max: 21.98Min: 20.45 / Avg: 20.48 / Max: 20.5Min: 25.33 / Avg: 25.59 / Max: 25.74Min: 33.9 / Avg: 34.06 / Max: 34.3Min: 30.23 / Avg: 30.53 / Max: 30.69

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.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 9Total TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X16M32M48M64M80MSE +/- 21979.47, N = 3SE +/- 66368.72, N = 3SE +/- 72737.67, N = 3SE +/- 72351.59, N = 3SE +/- 72350.39, N = 3SE +/- 154542.53, N = 3SE +/- 69587.97, N = 3SE +/- 140100.66, N = 3SE +/- 127032.63, N = 3SE +/- 241698.18, N = 3SE +/- 325858.19, N = 3SE +/- 1249797.28, N = 31965307935726813162385191814593020871771278084413812431138915395524073674560125556742350769002171. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 9Total TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X13M26M39M52M65MMin: 19609400 / Avg: 19653079 / Max: 19679208Min: 35626785 / Avg: 35726813 / Max: 35852393Min: 16165768 / Avg: 16238518.67 / Max: 16383994Min: 18001663 / Avg: 18145930.33 / Max: 18227783Min: 20728584 / Avg: 20871771.33 / Max: 20961442Min: 27506325 / Avg: 27808441 / Max: 28016020Min: 37992306 / Avg: 38124311.33 / Max: 38228503Min: 38724178 / Avg: 38915395.33 / Max: 39188378Min: 52267350 / Avg: 52407367.33 / Max: 52660974Min: 45331522 / Avg: 45601255 / Max: 46083522Min: 56156385 / Avg: 56742350 / Max: 57282384Min: 75126822 / Avg: 76900217.33 / Max: 793124581. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X714212835SE +/- 0.0261, N = 3SE +/- 0.0182, N = 3SE +/- 0.0595, N = 3SE +/- 0.0168, N = 3SE +/- 0.0259, N = 3SE +/- 0.0479, N = 3SE +/- 0.0537, N = 3SE +/- 0.0477, N = 3SE +/- 0.0376, N = 3SE +/- 0.1287, N = 3SE +/- 0.1569, N = 3SE +/- 0.1706, N = 3SE +/- 0.0894, N = 38.574415.42476.40887.02838.654411.567915.659016.092621.044019.922924.275730.346725.1716MIN: 8.48 / MAX: 8.74MIN: 14.96 / MAX: 15.79MIN: 6.07 / MAX: 6.56MIN: 6.98 / MAX: 7.15MIN: 8.58 / MAX: 8.85MIN: 11.44 / MAX: 11.85MIN: 15.48 / MAX: 16.06MIN: 15.89 / MAX: 16.56MIN: 20.83 / MAX: 21.49MIN: 19.53 / MAX: 20.41MIN: 23.87 / MAX: 25.12MIN: 29.26 / MAX: 31.97MIN: 24.76 / MAX: 26.13
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X714212835Min: 8.52 / Avg: 8.57 / Max: 8.6Min: 15.39 / Avg: 15.42 / Max: 15.45Min: 6.29 / Avg: 6.41 / Max: 6.48Min: 7.01 / Avg: 7.03 / Max: 7.06Min: 8.62 / Avg: 8.65 / Max: 8.71Min: 11.51 / Avg: 11.57 / Max: 11.66Min: 15.59 / Avg: 15.66 / Max: 15.77Min: 16.02 / Avg: 16.09 / Max: 16.18Min: 20.97 / Avg: 21.04 / Max: 21.1Min: 19.67 / Avg: 19.92 / Max: 20.08Min: 24.08 / Avg: 24.28 / Max: 24.59Min: 30.03 / Avg: 30.35 / Max: 30.62Min: 25 / Avg: 25.17 / Max: 25.29

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.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video EncodingCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X60120180240300SE +/- 0.59, N = 3SE +/- 1.27, N = 3SE +/- 0.57, N = 3SE +/- 0.50, N = 3SE +/- 1.15, N = 3SE +/- 0.83, N = 3SE +/- 1.56, N = 3SE +/- 2.00, N = 4SE +/- 1.78, N = 3SE +/- 2.62, N = 3SE +/- 2.09, N = 6SE +/- 10.19, N = 12SE +/- 6.76, N = 1275.14126.1957.5862.2077.1998.32136.32139.09162.49158.81172.75271.59236.32-lavformat -lavcodec -lavutil -lswscale-lavformat -lavcodec -lavutil -lswscale-lavformat -lavcodec -lavutil -lswscale-lavformat -lavcodec -lavutil -lswscale-lavformat -lavcodec -lavutil -lswscale-lavformat -lavcodec -lavutil -lswscale-lavformat -lavcodec -lavutil -lswscale-lavformat -lavcodec -lavutil -lswscale-lavformat -lavcodec -lavutil -lswscale-lavformat -lavcodec -lavutil -lswscale-lavformat -lavcodec -lavutil -lswscale1. (CC) gcc options: -ldl -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize
OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video EncodingCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X50100150200250Min: 73.98 / Avg: 75.14 / Max: 75.91Min: 123.68 / Avg: 126.19 / Max: 127.72Min: 56.46 / Avg: 57.58 / Max: 58.32Min: 61.23 / Avg: 62.2 / Max: 62.92Min: 75.09 / Avg: 77.19 / Max: 79.04Min: 96.71 / Avg: 98.32 / Max: 99.47Min: 133.22 / Avg: 136.32 / Max: 138.16Min: 133.14 / Avg: 139.09 / Max: 141.7Min: 158.99 / Avg: 162.49 / Max: 164.77Min: 153.9 / Avg: 158.81 / Max: 162.83Min: 162.7 / Avg: 172.75 / Max: 176.87Min: 162.99 / Avg: 271.59 / Max: 290.5Min: 162.3 / Avg: 236.32 / Max: 245.321. (CC) gcc options: -ldl -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize

Tachyon

This is a test of the threaded Tachyon, a parallel ray-tracing system, measuring the time to ray-trace a sample scene. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X306090120150SE +/- 1.56, N = 4SE +/- 0.15, N = 3SE +/- 2.15, N = 3SE +/- 3.50, N = 12SE +/- 0.13, N = 3SE +/- 0.87, N = 3SE +/- 1.12, N = 3SE +/- 0.11, N = 3SE +/- 0.47, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3120.6465.98153.10148.75117.5687.9473.9760.1246.3752.3643.4632.891. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X306090120150Min: 118.77 / Avg: 120.64 / Max: 125.28Min: 65.71 / Avg: 65.98 / Max: 66.24Min: 150.55 / Avg: 153.1 / Max: 157.38Min: 137.79 / Avg: 148.75 / Max: 173.19Min: 117.3 / Avg: 117.56 / Max: 117.7Min: 86.35 / Avg: 87.94 / Max: 89.33Min: 71.94 / Avg: 73.97 / Max: 75.82Min: 59.9 / Avg: 60.12 / Max: 60.26Min: 45.62 / Avg: 46.37 / Max: 47.25Min: 52.09 / Avg: 52.36 / Max: 52.51Min: 43.27 / Avg: 43.46 / Max: 43.61Min: 32.84 / Avg: 32.89 / Max: 32.921. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

LuxCoreRender

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1.1792.3583.5374.7165.895SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.402.461.141.261.421.932.642.733.643.133.815.24MIN: 1.37 / MAX: 1.45MIN: 2.39 / MAX: 2.52MIN: 1.11 / MAX: 1.2MIN: 1.22 / MAX: 1.32MIN: 1.38 / MAX: 1.47MIN: 1.89 / MAX: 1.98MIN: 2.59 / MAX: 2.68MIN: 2.68 / MAX: 2.76MIN: 3.55 / MAX: 3.67MIN: 3.07 / MAX: 3.18MIN: 3.73 / MAX: 3.9MIN: 5.2 / MAX: 5.37
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X246810Min: 1.39 / Avg: 1.4 / Max: 1.42Min: 2.43 / Avg: 2.46 / Max: 2.49Min: 1.14 / Avg: 1.14 / Max: 1.15Min: 1.25 / Avg: 1.26 / Max: 1.26Min: 1.41 / Avg: 1.42 / Max: 1.43Min: 1.93 / Avg: 1.93 / Max: 1.94Min: 2.63 / Avg: 2.64 / Max: 2.66Min: 2.72 / Avg: 2.73 / Max: 2.73Min: 3.61 / Avg: 3.64 / Max: 3.65Min: 3.12 / Avg: 3.13 / Max: 3.14Min: 3.79 / Avg: 3.81 / Max: 3.82Min: 5.22 / Avg: 5.24 / Max: 5.26

Timed MPlayer Compilation

This test times how long it takes to build the MPlayer open-source media player program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1428425670SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.17, N = 347.8329.0462.7457.5543.9033.9325.7725.0620.7822.0219.0213.76
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1224364860Min: 47.76 / Avg: 47.83 / Max: 47.9Min: 28.97 / Avg: 29.04 / Max: 29.08Min: 62.7 / Avg: 62.74 / Max: 62.81Min: 57.51 / Avg: 57.55 / Max: 57.58Min: 43.87 / Avg: 43.9 / Max: 43.94Min: 33.81 / Avg: 33.93 / Max: 34.03Min: 25.69 / Avg: 25.77 / Max: 25.84Min: 25.04 / Avg: 25.06 / Max: 25.09Min: 20.72 / Avg: 20.78 / Max: 20.85Min: 22.02 / Avg: 22.02 / Max: 22.03Min: 19 / Avg: 19.02 / Max: 19.05Min: 13.56 / Avg: 13.76 / Max: 14.09

Timed FFmpeg Compilation

This test times how long it takes to build FFmpeg. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X20406080100SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 370.3444.8791.6883.9765.2751.2440.4839.5233.4734.1629.8220.16
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X20406080100Min: 70.26 / Avg: 70.34 / Max: 70.46Min: 44.75 / Avg: 44.87 / Max: 44.93Min: 91.54 / Avg: 91.67 / Max: 91.76Min: 83.84 / Avg: 83.97 / Max: 84.1Min: 64.97 / Avg: 65.27 / Max: 65.43Min: 51.17 / Avg: 51.24 / Max: 51.3Min: 40.38 / Avg: 40.48 / Max: 40.59Min: 39.36 / Avg: 39.52 / Max: 39.71Min: 33.28 / Avg: 33.47 / Max: 33.67Min: 34.1 / Avg: 34.16 / Max: 34.24Min: 29.65 / Avg: 29.82 / Max: 29.92Min: 20.08 / Avg: 20.16 / Max: 20.25

LuxCoreRender

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1.1162.2323.3484.4645.58SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 31.262.211.101.221.331.802.402.503.292.933.594.96MIN: 1.22 / MAX: 1.28MIN: 2.12 / MAX: 2.33MIN: 1.06 / MAX: 1.11MIN: 1.17 / MAX: 1.23MIN: 1.26 / MAX: 1.37MIN: 1.72 / MAX: 1.86MIN: 2.29 / MAX: 2.49MIN: 2.39 / MAX: 2.58MIN: 3.15 / MAX: 3.44MIN: 2.79 / MAX: 3.06MIN: 3.43 / MAX: 3.83MIN: 4.84 / MAX: 5.3
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X246810Min: 1.26 / Avg: 1.26 / Max: 1.26Min: 2.18 / Avg: 2.21 / Max: 2.26Min: 1.09 / Avg: 1.1 / Max: 1.1Min: 1.21 / Avg: 1.22 / Max: 1.22Min: 1.31 / Avg: 1.33 / Max: 1.35Min: 1.78 / Avg: 1.8 / Max: 1.82Min: 2.38 / Avg: 2.4 / Max: 2.41Min: 2.48 / Avg: 2.5 / Max: 2.51Min: 3.27 / Avg: 3.29 / Max: 3.32Min: 2.91 / Avg: 2.93 / Max: 2.94Min: 3.56 / Avg: 3.59 / Max: 3.63Min: 4.94 / Avg: 4.96 / Max: 4.97

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X16M32M48M64M80MSE +/- 67429.43, N = 3SE +/- 439150.46, N = 3SE +/- 127286.07, N = 3SE +/- 225356.28, N = 3SE +/- 31310.34, N = 3SE +/- 148329.91, N = 3SE +/- 139565.35, N = 3SE +/- 457800.10, N = 3SE +/- 711272.98, N = 4SE +/- 623050.05, N = 3SE +/- 122568.73, N = 3SE +/- 767671.54, N = 3222944784039245917002246188687502174715429158077388368734008230952929484493487125994351976460480
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X13M26M39M52M65MMin: 22213510 / Avg: 22294478.33 / Max: 22428361Min: 39823314 / Avg: 40392458.67 / Max: 41256354Min: 16801111 / Avg: 17002246 / Max: 17237957Min: 18419578 / Avg: 18868749.67 / Max: 19125584Min: 21715536 / Avg: 21747154.33 / Max: 21809774Min: 28970790 / Avg: 29158077 / Max: 29450964Min: 38652044 / Avg: 38836872.67 / Max: 39110434Min: 39168312 / Avg: 40082308.67 / Max: 40586215Min: 51785361 / Avg: 52929484 / Max: 54947247Min: 48427999 / Avg: 49348712.33 / Max: 50536248Min: 59800340 / Avg: 59943518.67 / Max: 60187428Min: 75284710 / Avg: 76460480.33 / Max: 77903428

7-Zip Compression

This is a test of 7-Zip using p7zip with its integrated benchmark feature or upstream 7-Zip for the Windows x64 build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X30K60K90K120K150KSE +/- 325.15, N = 3SE +/- 35.83, N = 3SE +/- 39.73, N = 3SE +/- 179.41, N = 3SE +/- 44.51, N = 3SE +/- 139.97, N = 3SE +/- 286.83, N = 3SE +/- 28.54, N = 3SE +/- 191.60, N = 3SE +/- 80.31, N = 3SE +/- 79.67, N = 3SE +/- 2014.11, N = 541897647723142933526438555637076909775509007189437947791404361. (CXX) g++ options: -pipe -lpthread
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X20K40K60K80K100KMin: 41501 / Avg: 41897.33 / Max: 42542Min: 64730 / Avg: 64771.67 / Max: 64843Min: 31364 / Avg: 31428.67 / Max: 31501Min: 33198 / Avg: 33526 / Max: 33816Min: 43773 / Avg: 43855 / Max: 43926Min: 56100 / Avg: 56370 / Max: 56569Min: 76339 / Avg: 76908.67 / Max: 77252Min: 77516 / Avg: 77550.33 / Max: 77607Min: 89770 / Avg: 90071.33 / Max: 90427Min: 89291 / Avg: 89437 / Max: 89568Min: 94666 / Avg: 94779.33 / Max: 94933Min: 132404 / Avg: 140436 / Max: 1428491. (CXX) g++ options: -pipe -lpthread

Monte Carlo Simulations of Ionised Nebulae

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X60120180240300SE +/- 2.56, N = 5SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 1.33, N = 3SE +/- 0.33, N = 3SE +/- 1.00, N = 3SE +/- 0.33, N = 32071662792532332112112051991791806863-pthread-pthread-pthread-pthread-pthread-pthread-pthread-pthread-pthread-pthread-pthread1. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X50100150200250Min: 204 / Avg: 206.8 / Max: 217Min: 278 / Avg: 279.33 / Max: 280Min: 210 / Avg: 210.67 / Max: 211Min: 204 / Avg: 204.67 / Max: 205Min: 178 / Avg: 179.33 / Max: 182Min: 179 / Avg: 179.67 / Max: 180Min: 66 / Avg: 68 / Max: 69Min: 63 / Avg: 63.33 / Max: 641. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -lmpi_usempif08 -lmpi_mpifh -lmpi

NeatBench

NeatBench is a benchmark of the cross-platform Neat Video software on the CPU and optional GPU (OpenCL / CUDA) support. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1122334455SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.19, N = 314.418.310.811.518.921.924.725.127.328.330.347.8
OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1020304050Min: 14.2 / Avg: 14.37 / Max: 14.5Min: 18.2 / Avg: 18.27 / Max: 18.3Min: 10.7 / Avg: 10.77 / Max: 10.8Min: 11.3 / Avg: 11.5 / Max: 11.7Min: 18.7 / Avg: 18.87 / Max: 19Min: 21.7 / Avg: 21.9 / Max: 22Min: 24.6 / Avg: 24.73 / Max: 25Min: 24.9 / Avg: 25.13 / Max: 25.5Min: 27.1 / Avg: 27.27 / Max: 27.4Min: 28.3 / Avg: 28.33 / Max: 28.4Min: 30.2 / Avg: 30.33 / Max: 30.5Min: 47.6 / Avg: 47.83 / Max: 48.2

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X60120180240300SE +/- 0.24, N = 3SE +/- 0.13, N = 3SE +/- 0.71, N = 3SE +/- 0.48, N = 3SE +/- 0.67, N = 3SE +/- 0.18, N = 3SE +/- 0.32, N = 3SE +/- 0.35, N = 3SE +/- 0.28, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.51, N = 3203.69114.70254.58230.28205.38150.76111.61106.8081.7795.0278.2857.69
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X50100150200250Min: 203.29 / Avg: 203.69 / Max: 204.12Min: 114.46 / Avg: 114.7 / Max: 114.88Min: 253.21 / Avg: 254.58 / Max: 255.59Min: 229.43 / Avg: 230.28 / Max: 231.08Min: 204.34 / Avg: 205.38 / Max: 206.62Min: 150.46 / Avg: 150.76 / Max: 151.08Min: 111.03 / Avg: 111.61 / Max: 112.12Min: 106.22 / Avg: 106.8 / Max: 107.44Min: 81.43 / Avg: 81.77 / Max: 82.33Min: 94.85 / Avg: 95.02 / Max: 95.23Min: 78.08 / Avg: 78.28 / Max: 78.4Min: 57.08 / Avg: 57.69 / Max: 58.7

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X306090120150SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.07, N = 3SE +/- 0.33, N = 3SE +/- 0.12, N = 3SE +/- 5.82, N = 15SE +/- 0.39, N = 343.8269.9031.3734.6348.1460.1062.5063.2682.2469.6386.94138.23121.611. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X306090120150Min: 43.81 / Avg: 43.82 / Max: 43.83Min: 69.84 / Avg: 69.9 / Max: 69.94Min: 31.31 / Avg: 31.37 / Max: 31.45Min: 34.6 / Avg: 34.63 / Max: 34.68Min: 48.03 / Avg: 48.14 / Max: 48.24Min: 59.89 / Avg: 60.1 / Max: 60.45Min: 62.33 / Avg: 62.5 / Max: 62.62Min: 63.1 / Avg: 63.26 / Max: 63.51Min: 82.13 / Avg: 82.24 / Max: 82.36Min: 69.11 / Avg: 69.63 / Max: 70.24Min: 86.71 / Avg: 86.94 / Max: 87.12Min: 79.83 / Avg: 138.23 / Max: 152.6Min: 121.02 / Avg: 121.61 / Max: 122.351. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Smallpt

Smallpt is a C++ global illumination renderer written in less than 100 lines of code. Global illumination is done via unbiased Monte Carlo path tracing and there is multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSmallpt 1.0Global Illumination Renderer; 128 SamplesCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X48121620SE +/- 0.057, N = 3SE +/- 0.013, N = 3SE +/- 0.008, N = 3SE +/- 0.005, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.009, N = 3SE +/- 0.003, N = 3SE +/- 0.019, N = 3SE +/- 0.022, N = 3SE +/- 0.010, N = 314.2047.90517.03115.45913.5179.8477.0926.9445.2006.1604.9373.9171. (CXX) g++ options: -fopenmp -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterSmallpt 1.0Global Illumination Renderer; 128 SamplesCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X48121620Min: 14.13 / Avg: 14.2 / Max: 14.32Min: 7.88 / Avg: 7.91 / Max: 7.93Min: 17.02 / Avg: 17.03 / Max: 17.05Min: 15.45 / Avg: 15.46 / Max: 15.47Min: 13.51 / Avg: 13.52 / Max: 13.52Min: 9.84 / Avg: 9.85 / Max: 9.85Min: 7.08 / Avg: 7.09 / Max: 7.1Min: 6.93 / Avg: 6.94 / Max: 6.96Min: 5.2 / Avg: 5.2 / Max: 5.21Min: 6.12 / Avg: 6.16 / Max: 6.19Min: 4.91 / Avg: 4.94 / Max: 4.98Min: 3.91 / Avg: 3.92 / Max: 3.941. (CXX) g++ options: -fopenmp -O3

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X0.55581.11161.66742.22322.779SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.281.930.570.631.291.562.101.972.432.202.471. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X246810Min: 1.27 / Avg: 1.28 / Max: 1.29Min: 1.93 / Avg: 1.93 / Max: 1.94Min: 0.57 / Avg: 0.57 / Max: 0.57Min: 0.62 / Avg: 0.63 / Max: 0.63Min: 1.29 / Avg: 1.29 / Max: 1.3Min: 1.56 / Avg: 1.56 / Max: 1.56Min: 2.09 / Avg: 2.1 / Max: 2.1Min: 1.95 / Avg: 1.97 / Max: 2Min: 2.4 / Avg: 2.43 / Max: 2.47Min: 2.19 / Avg: 2.2 / Max: 2.23Min: 2.45 / Avg: 2.47 / Max: 2.481. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

Model: Person Detection 0106 FP16 - Device: CPU

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: openvino: line 2: ./openvino-github-2021/bin/intel64/Release/benchmark_app: No such file or directory

SciMark

This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Dense LU Matrix FactorizationCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X400800120016002000SE +/- 0.29, N = 3SE +/- 11.39, N = 3SE +/- 2.19, N = 3SE +/- 1.56, N = 3SE +/- 7.05, N = 3SE +/- 26.41, N = 3SE +/- 6.22, N = 3SE +/- 11.76, N = 3SE +/- 11.92, N = 3SE +/- 2.29, N = 3SE +/- 3.97, N = 3SE +/- 8.45, N = 3SE +/- 21.46, N = 31084.831176.07404.71431.561003.691010.571000.221019.651022.731485.051501.031678.601749.081. (CC) gcc options: -lm
OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Dense LU Matrix FactorizationCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X30060090012001500Min: 1084.3 / Avg: 1084.83 / Max: 1085.29Min: 1153.3 / Avg: 1176.07 / Max: 1187.92Min: 401.41 / Avg: 404.71 / Max: 408.86Min: 428.93 / Avg: 431.56 / Max: 434.33Min: 992.9 / Avg: 1003.69 / Max: 1016.94Min: 963.98 / Avg: 1010.57 / Max: 1055.43Min: 990.15 / Avg: 1000.22 / Max: 1011.58Min: 999.2 / Avg: 1019.65 / Max: 1039.95Min: 1001.48 / Avg: 1022.73 / Max: 1042.7Min: 1480.5 / Avg: 1485.05 / Max: 1487.8Min: 1494.36 / Avg: 1501.03 / Max: 1508.11Min: 1668.53 / Avg: 1678.6 / Max: 1695.4Min: 1726.54 / Avg: 1749.08 / Max: 1791.991. (CC) gcc options: -lm

POV-Ray

This is a test of POV-Ray, the Persistence of Vision Raytracer. POV-Ray is used to create 3D graphics using ray-tracing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1632486480SE +/- 0.12, N = 3SE +/- 0.25, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 359.3433.7374.1567.3358.7342.7731.5330.5823.5127.4223.0117.21-pthread -lSDL -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread-pthread -lSDL -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread-pthread -lSDL -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread-pthread -lSDL -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread-pthread -lSDL -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread-pthread -lSDL -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread-pthread -lSDL -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread-pthread -lSDL -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread-pthread -lSDL -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread-pthread -lSDL -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread-pthread -lSDL -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread-R/usr/lib -lXpm1. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -lSM -lICE -lX11 -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system
OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1428425670Min: 59.18 / Avg: 59.34 / Max: 59.58Min: 33.24 / Avg: 33.73 / Max: 34.04Min: 74.01 / Avg: 74.15 / Max: 74.32Min: 67.24 / Avg: 67.33 / Max: 67.41Min: 58.68 / Avg: 58.73 / Max: 58.79Min: 42.75 / Avg: 42.77 / Max: 42.78Min: 31.5 / Avg: 31.53 / Max: 31.59Min: 30.51 / Avg: 30.58 / Max: 30.69Min: 23.43 / Avg: 23.51 / Max: 23.57Min: 27.18 / Avg: 27.42 / Max: 27.59Min: 22.94 / Avg: 23.01 / Max: 23.1Min: 17.17 / Avg: 17.21 / Max: 17.261. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -lSM -lICE -lX11 -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X0.55131.10261.65392.20522.7565SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.281.930.570.621.281.522.071.992.432.192.451. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X246810Min: 1.28 / Avg: 1.28 / Max: 1.29Min: 1.91 / Avg: 1.93 / Max: 1.94Min: 0.57 / Avg: 0.57 / Max: 0.57Min: 0.62 / Avg: 0.62 / Max: 0.63Min: 1.28 / Avg: 1.28 / Max: 1.29Min: 1.48 / Avg: 1.52 / Max: 1.55Min: 2.06 / Avg: 2.07 / Max: 2.08Min: 1.98 / Avg: 1.99 / Max: 2Min: 2.42 / Avg: 2.43 / Max: 2.46Min: 2.19 / Avg: 2.19 / Max: 2.2Min: 2.43 / Avg: 2.45 / Max: 2.471. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

Model: Person Detection 0106 FP32 - Device: CPU

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: openvino: line 2: ./openvino-github-2021/bin/intel64/Release/benchmark_app: No such file or directory

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X20406080100SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 380.0846.5493.8684.7373.8354.9741.2740.6731.6533.8028.2621.901. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X20406080100Min: 80.06 / Avg: 80.08 / Max: 80.1Min: 46.53 / Avg: 46.54 / Max: 46.55Min: 93.83 / Avg: 93.86 / Max: 93.91Min: 84.68 / Avg: 84.73 / Max: 84.79Min: 73.77 / Avg: 73.83 / Max: 73.88Min: 54.87 / Avg: 54.97 / Max: 55.03Min: 41.14 / Avg: 41.27 / Max: 41.44Min: 40.66 / Avg: 40.67 / Max: 40.67Min: 31.58 / Avg: 31.65 / Max: 31.76Min: 33.77 / Avg: 33.8 / Max: 33.83Min: 28.18 / Avg: 28.26 / Max: 28.32Min: 21.89 / Avg: 21.9 / Max: 21.911. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X80160240320400SE +/- 0.79, N = 3SE +/- 0.85, N = 3SE +/- 0.11, N = 3SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.27, N = 3SE +/- 0.07, N = 3SE +/- 0.22, N = 3SE +/- 0.14, N = 3SE +/- 0.41, N = 3SE +/- 0.13, N = 3SE +/- 0.04, N = 3SE +/- 1.51, N = 3306.48170.15362.26330.16309.61227.00164.71159.41120.53123.34103.6284.83103.601. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X60120180240300Min: 304.94 / Avg: 306.48 / Max: 307.54Min: 169.27 / Avg: 170.15 / Max: 171.85Min: 362.05 / Avg: 362.26 / Max: 362.42Min: 329.94 / Avg: 330.16 / Max: 330.4Min: 309.42 / Avg: 309.61 / Max: 309.86Min: 226.46 / Avg: 227 / Max: 227.33Min: 164.59 / Avg: 164.71 / Max: 164.84Min: 158.99 / Avg: 159.41 / Max: 159.74Min: 120.25 / Avg: 120.53 / Max: 120.7Min: 122.73 / Avg: 123.34 / Max: 124.12Min: 103.36 / Avg: 103.62 / Max: 103.76Min: 84.74 / Avg: 84.83 / Max: 84.89Min: 101.95 / Avg: 103.6 / Max: 106.611. (CXX) g++ options: -O2 -lOpenCL

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X0.81451.6292.44353.2584.0725SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.113.340.850.951.681.942.782.623.253.063.621. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X246810Min: 2.11 / Avg: 2.11 / Max: 2.11Min: 3.33 / Avg: 3.34 / Max: 3.35Min: 0.85 / Avg: 0.85 / Max: 0.86Min: 0.95 / Avg: 0.95 / Max: 0.95Min: 1.68 / Avg: 1.68 / Max: 1.68Min: 1.93 / Avg: 1.94 / Max: 1.95Min: 2.76 / Avg: 2.78 / Max: 2.79Min: 2.61 / Avg: 2.62 / Max: 2.63Min: 3.25 / Avg: 3.25 / Max: 3.25Min: 3.06 / Avg: 3.06 / Max: 3.06Min: 3.61 / Avg: 3.62 / Max: 3.631. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

Model: Face Detection 0106 FP16 - Device: CPU

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: openvino: line 2: ./openvino-github-2021/bin/intel64/Release/benchmark_app: No such file or directory

Sunflow Rendering System

This test runs benchmarks of the Sunflow Rendering System. The Sunflow Rendering System is an open-source render engine for photo-realistic image synthesis with a ray-tracing core. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image SynthesisCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X0.40640.81281.21921.62562.032SE +/- 0.006, N = 3SE +/- 0.003, N = 3SE +/- 0.024, N = 3SE +/- 0.027, N = 3SE +/- 0.011, N = 15SE +/- 0.012, N = 6SE +/- 0.008, N = 3SE +/- 0.008, N = 3SE +/- 0.006, N = 3SE +/- 0.006, N = 15SE +/- 0.008, N = 4SE +/- 0.006, N = 31.2950.7811.8061.5911.3401.0070.8420.8050.6970.6840.6270.425MIN: 1.2 / MAX: 1.71MIN: 0.71 / MAX: 1.21MIN: 1.62 / MAX: 2.45MIN: 1.42 / MAX: 2.11MIN: 1.16 / MAX: 1.86MIN: 0.88 / MAX: 1.38MIN: 0.73 / MAX: 1.13MIN: 0.69 / MAX: 1.14MIN: 0.57 / MAX: 1.33MIN: 0.56 / MAX: 0.94MIN: 0.5 / MAX: 1.04MIN: 0.33 / MAX: 0.73
OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image SynthesisCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X246810Min: 1.29 / Avg: 1.3 / Max: 1.31Min: 0.78 / Avg: 0.78 / Max: 0.79Min: 1.76 / Avg: 1.81 / Max: 1.83Min: 1.56 / Avg: 1.59 / Max: 1.65Min: 1.27 / Avg: 1.34 / Max: 1.4Min: 0.96 / Avg: 1.01 / Max: 1.03Min: 0.83 / Avg: 0.84 / Max: 0.85Min: 0.79 / Avg: 0.8 / Max: 0.81Min: 0.69 / Avg: 0.7 / Max: 0.71Min: 0.65 / Avg: 0.68 / Max: 0.72Min: 0.61 / Avg: 0.63 / Max: 0.65Min: 0.42 / Avg: 0.42 / Max: 0.44

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X0.81231.62462.43693.24924.0615SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.103.290.850.951.681.942.782.613.273.063.611. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X246810Min: 2.07 / Avg: 2.1 / Max: 2.12Min: 3.28 / Avg: 3.29 / Max: 3.29Min: 0.85 / Avg: 0.85 / Max: 0.86Min: 0.95 / Avg: 0.95 / Max: 0.96Min: 1.68 / Avg: 1.68 / Max: 1.68Min: 1.93 / Avg: 1.94 / Max: 1.94Min: 2.78 / Avg: 2.78 / Max: 2.78Min: 2.61 / Avg: 2.61 / Max: 2.62Min: 3.24 / Avg: 3.27 / Max: 3.31Min: 3.05 / Avg: 3.06 / Max: 3.07Min: 3.59 / Avg: 3.61 / Max: 3.621. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

Model: Face Detection 0106 FP32 - Device: CPU

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: openvino: line 2: ./openvino-github-2021/bin/intel64/Release/benchmark_app: No such file or directory

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.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X90180270360450SE +/- 1.83, N = 3SE +/- 2.55, N = 5SE +/- 0.42, N = 3SE +/- 0.64, N = 3SE +/- 1.35, N = 3SE +/- 1.38, N = 3SE +/- 3.37, N = 3SE +/- 3.32, N = 3SE +/- 0.25, N = 3SE +/- 3.76, N = 3SE +/- 2.17, N = 10SE +/- 24.10, N = 15SE +/- 17.17, N = 12154.53210.0892.9999.99134.25149.99202.63198.20217.13226.26234.14392.76380.901. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X70140210280350Min: 150.87 / Avg: 154.53 / Max: 156.58Min: 199.93 / Avg: 210.08 / Max: 213.52Min: 92.15 / Avg: 92.99 / Max: 93.46Min: 98.72 / Avg: 99.99 / Max: 100.74Min: 131.67 / Avg: 134.25 / Max: 136.24Min: 147.28 / Avg: 149.99 / Max: 151.82Min: 195.89 / Avg: 202.63 / Max: 206.04Min: 191.57 / Avg: 198.2 / Max: 201.82Min: 216.84 / Avg: 217.13 / Max: 217.63Min: 218.74 / Avg: 226.26 / Max: 230.06Min: 214.67 / Avg: 234.14 / Max: 236.97Min: 130.21 / Avg: 392.76 / Max: 434.15Min: 192.12 / Avg: 380.9 / Max: 401.881. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X8K16K24K32K40KSE +/- 1.20, N = 3SE +/- 35.89, N = 3SE +/- 13.53, N = 3SE +/- 9.54, N = 3SE +/- 8.45, N = 3SE +/- 22.65, N = 3SE +/- 49.65, N = 3SE +/- 62.78, N = 3SE +/- 35.59, N = 3SE +/- 53.48, N = 3SE +/- 100.07, N = 3130222359191131021510481144942024420729280963021438305-lgmp1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X7K14K21K28K35KMin: 13020 / Avg: 13021.67 / Max: 13024Min: 23520 / Avg: 23591.33 / Max: 23634Min: 9086 / Avg: 9112.67 / Max: 9130Min: 10198 / Avg: 10215 / Max: 10231Min: 10468 / Avg: 10481.33 / Max: 10497Min: 14467 / Avg: 14494 / Max: 14539Min: 20174 / Avg: 20244 / Max: 20340Min: 20628 / Avg: 20728.67 / Max: 20844Min: 28051 / Avg: 28095.67 / Max: 28166Min: 30124 / Avg: 30213.67 / Max: 30309Min: 38150 / Avg: 38304.67 / Max: 384921. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2

Test: Blowfish

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: john-the-ripper: line 3: ./john: No such file or directory

Ryzen 9 7900X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: john-the-ripper: line 3: ./john: No such file or directory

NAMD

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

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X0.77671.55342.33013.10683.8835SE +/- 0.00373, N = 3SE +/- 0.00955, N = 3SE +/- 0.00108, N = 3SE +/- 0.00019, N = 3SE +/- 0.00119, N = 3SE +/- 0.00102, N = 3SE +/- 0.00121, N = 3SE +/- 0.00173, N = 3SE +/- 0.00338, N = 3SE +/- 0.00218, N = 3SE +/- 0.00545, N = 3SE +/- 0.00209, N = 3SE +/- 0.00171, N = 32.085591.236073.452093.161042.869952.117111.544881.495261.149971.274081.070980.827520.99190
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X246810Min: 2.08 / Avg: 2.09 / Max: 2.09Min: 1.22 / Avg: 1.24 / Max: 1.25Min: 3.45 / Avg: 3.45 / Max: 3.45Min: 3.16 / Avg: 3.16 / Max: 3.16Min: 2.87 / Avg: 2.87 / Max: 2.87Min: 2.12 / Avg: 2.12 / Max: 2.12Min: 1.54 / Avg: 1.54 / Max: 1.55Min: 1.49 / Avg: 1.5 / Max: 1.5Min: 1.14 / Avg: 1.15 / Max: 1.15Min: 1.27 / Avg: 1.27 / Max: 1.28Min: 1.07 / Avg: 1.07 / Max: 1.08Min: 0.82 / Avg: 0.83 / Max: 0.83Min: 0.99 / Avg: 0.99 / Max: 1

Appleseed

Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X70140210280350305.77178.12342.04317.67291.01214.51161.51156.53119.86142.65117.6783.41

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X816243240SE +/- 0.18, N = 4SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 3SE +/- 0.06, N = 3SE +/- 0.42, N = 3SE +/- 0.19, N = 312.5618.818.309.1011.7012.4819.3719.6523.0923.5426.5033.9230.22-lnuma-lnuma-lnuma-lnuma-lnuma-lnuma-lnuma-lnuma-lnuma-lnuma-lnuma1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X714212835Min: 12.04 / Avg: 12.56 / Max: 12.83Min: 18.62 / Avg: 18.81 / Max: 18.93Min: 8.25 / Avg: 8.3 / Max: 8.34Min: 8.97 / Avg: 9.1 / Max: 9.36Min: 11.54 / Avg: 11.7 / Max: 11.84Min: 12.36 / Avg: 12.48 / Max: 12.65Min: 19.33 / Avg: 19.37 / Max: 19.39Min: 19.48 / Avg: 19.65 / Max: 19.98Min: 23 / Avg: 23.09 / Max: 23.17Min: 23.22 / Avg: 23.54 / Max: 23.72Min: 26.42 / Avg: 26.5 / Max: 26.61Min: 33.09 / Avg: 33.92 / Max: 34.39Min: 29.83 / Avg: 30.22 / Max: 30.451. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X714212835SE +/- 0.0117, N = 3SE +/- 0.1053, N = 3SE +/- 0.0269, N = 3SE +/- 0.0569, N = 3SE +/- 0.0493, N = 3SE +/- 0.0407, N = 3SE +/- 0.1165, N = 3SE +/- 0.0456, N = 3SE +/- 0.1585, N = 3SE +/- 0.0945, N = 3SE +/- 0.1295, N = 3SE +/- 0.1798, N = 3SE +/- 0.1764, N = 310.072917.63077.39937.99659.630312.521016.843016.990021.869220.378925.072230.197326.6631MIN: 10.02 / MAX: 10.19MIN: 17.35 / MAX: 18.02MIN: 7.33 / MAX: 7.55MIN: 7.89 / MAX: 8.21MIN: 9.54 / MAX: 9.84MIN: 12.41 / MAX: 12.79MIN: 16.53 / MAX: 17.33MIN: 16.82 / MAX: 17.33MIN: 21.44 / MAX: 22.58MIN: 20.06 / MAX: 20.8MIN: 24.83 / MAX: 25.95MIN: 29.61 / MAX: 31.09MIN: 25.65 / MAX: 27.26
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X714212835Min: 10.05 / Avg: 10.07 / Max: 10.09Min: 17.42 / Avg: 17.63 / Max: 17.77Min: 7.36 / Avg: 7.4 / Max: 7.45Min: 7.92 / Avg: 8 / Max: 8.11Min: 9.57 / Avg: 9.63 / Max: 9.73Min: 12.47 / Avg: 12.52 / Max: 12.6Min: 16.63 / Avg: 16.84 / Max: 17.02Min: 16.92 / Avg: 16.99 / Max: 17.08Min: 21.58 / Avg: 21.87 / Max: 22.13Min: 20.22 / Avg: 20.38 / Max: 20.54Min: 24.92 / Avg: 25.07 / Max: 25.33Min: 29.95 / Avg: 30.2 / Max: 30.55Min: 26.47 / Avg: 26.66 / Max: 27.02

Appleseed

Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X130260390520650511.74299.91590.16539.89470.18349.40267.07259.33208.36224.29192.18147.13

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: EnhancedCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X100200300400500SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 1.00, N = 3SE +/- 4.65, N = 12SE +/- 0.33, N = 3150269119131157215298301407330420472386-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux1. (CC) gcc options: -fopenmp -O2 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: EnhancedCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X80160240320400Min: 131 / Avg: 131.33 / Max: 132Min: 215 / Avg: 215.33 / Max: 216Min: 419 / Avg: 420 / Max: 422Min: 422 / Avg: 472.33 / Max: 480Min: 385 / Avg: 385.67 / Max: 3861. (CC) gcc options: -fopenmp -O2 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

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.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X30060090012001500SE +/- 0.99, N = 3SE +/- 1.31, N = 3SE +/- 0.46, N = 3SE +/- 0.77, N = 3SE +/- 1.71, N = 3SE +/- 1.57, N = 3SE +/- 1.67, N = 3SE +/- 0.26, N = 3SE +/- 1.50, N = 3SE +/- 0.38, N = 3SE +/- 2.14, N = 3SE +/- 84.46, N = 12SE +/- 2.39, N = 3550.52785.87316.11335.74438.49514.32586.78585.47619.21661.39688.701138.361247.87MIN: 404.15 / MAX: 850.71MIN: 607.56 / MAX: 1067.02MIN: 240.35 / MAX: 513.8MIN: 254.48 / MAX: 557.97MIN: 334.01 / MAX: 673.67MIN: 394.76 / MAX: 717.47MIN: 461.53 / MAX: 717.45MIN: 461.07 / MAX: 715.8MIN: 475.8 / MAX: 778.14MIN: 505.19 / MAX: 829.84MIN: 524.41 / MAX: 874.26MIN: 177.9 / MAX: 1570.93MIN: 964.17 / MAX: 1570.341. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X2004006008001000Min: 548.6 / Avg: 550.52 / Max: 551.91Min: 783.96 / Avg: 785.87 / Max: 788.39Min: 315.29 / Avg: 316.11 / Max: 316.89Min: 334.22 / Avg: 335.74 / Max: 336.71Min: 435.59 / Avg: 438.49 / Max: 441.51Min: 511.59 / Avg: 514.32 / Max: 517.03Min: 584.06 / Avg: 586.78 / Max: 589.83Min: 585.02 / Avg: 585.47 / Max: 585.93Min: 616.85 / Avg: 619.21 / Max: 621.98Min: 660.69 / Avg: 661.39 / Max: 662.01Min: 684.46 / Avg: 688.7 / Max: 691.35Min: 231.2 / Avg: 1138.36 / Max: 1262.79Min: 1243.09 / Avg: 1247.87 / Max: 1250.411. (CC) gcc options: -pthread

BRL-CAD

BRL-CAD 7.28.0 is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X60K120K180K240K300K101498183810685167530293929131827183744188522248077215925267071-lXi-lXi-lXi-lXi-lXi-lXi-lXi-lXi-lXi-lXi1. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm

VGR Performance Metric

Ryzen 9 7950X: The test quit with a non-zero exit status. E: ERROR: Could not find the BRL-CAD raytracer

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1122334455SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 341.4025.1848.5643.9338.6729.3222.8822.6318.3018.7215.9612.541. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1020304050Min: 41.39 / Avg: 41.4 / Max: 41.41Min: 25.17 / Avg: 25.18 / Max: 25.18Min: 48.5 / Avg: 48.56 / Max: 48.61Min: 43.89 / Avg: 43.93 / Max: 43.96Min: 38.62 / Avg: 38.67 / Max: 38.7Min: 29.23 / Avg: 29.32 / Max: 29.4Min: 22.86 / Avg: 22.88 / Max: 22.92Min: 22.55 / Avg: 22.63 / Max: 22.72Min: 18.22 / Avg: 18.3 / Max: 18.43Min: 18.66 / Avg: 18.72 / Max: 18.75Min: 15.9 / Avg: 15.96 / Max: 16.01Min: 12.53 / Avg: 12.54 / Max: 12.551. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X20406080100SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.18, N = 394.6052.1395.4686.8282.4460.0242.8942.0331.3337.7830.2224.721. (CC) gcc options: -lm -lpthread -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X20406080100Min: 94.54 / Avg: 94.6 / Max: 94.65Min: 52.1 / Avg: 52.13 / Max: 52.16Min: 95.22 / Avg: 95.46 / Max: 95.74Min: 86.74 / Avg: 86.82 / Max: 86.94Min: 82.4 / Avg: 82.44 / Max: 82.5Min: 60 / Avg: 60.02 / Max: 60.05Min: 42.8 / Avg: 42.89 / Max: 42.94Min: 41.93 / Avg: 42.03 / Max: 42.11Min: 31.19 / Avg: 31.33 / Max: 31.45Min: 37.64 / Avg: 37.78 / Max: 37.91Min: 30.07 / Avg: 30.22 / Max: 30.36Min: 24.5 / Avg: 24.72 / Max: 25.081. (CC) gcc options: -lm -lpthread -O3

m-queens

A solver for the N-queens problem with multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X20406080100SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.14, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3108.0659.61104.8093.9990.2365.3446.7445.8233.8437.5429.5528.121. (CXX) g++ options: -fopenmp -O2 -march=native
OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X20406080100Min: 108.03 / Avg: 108.06 / Max: 108.08Min: 59.59 / Avg: 59.61 / Max: 59.62Min: 104.69 / Avg: 104.8 / Max: 104.87Min: 93.9 / Avg: 93.99 / Max: 94.05Min: 90.1 / Avg: 90.23 / Max: 90.36Min: 65.18 / Avg: 65.34 / Max: 65.46Min: 46.51 / Avg: 46.74 / Max: 46.87Min: 45.56 / Avg: 45.82 / Max: 46.05Min: 33.75 / Avg: 33.84 / Max: 33.9Min: 37.45 / Avg: 37.54 / Max: 37.61Min: 29.37 / Avg: 29.55 / Max: 29.71Min: 28.02 / Avg: 28.12 / Max: 28.241. (CXX) g++ options: -fopenmp -O2 -march=native

N-Queens

This is a test of the OpenMP version of a test that solves the N-queens problem. The board problem size is 18. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X510152025SE +/- 0.006, N = 3SE +/- 0.002, N = 3SE +/- 0.031, N = 3SE +/- 0.018, N = 3SE +/- 0.005, N = 3SE +/- 0.015, N = 3SE +/- 0.012, N = 3SE +/- 0.014, N = 3SE +/- 0.008, N = 3SE +/- 0.006, N = 3SE +/- 0.005, N = 3SE +/- 0.028, N = 318.75910.35321.62619.42618.01212.9999.2459.0686.7047.2065.6555.8121. (CC) gcc options: -static -fopenmp -O3 -march=native
OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X510152025Min: 18.75 / Avg: 18.76 / Max: 18.77Min: 10.35 / Avg: 10.35 / Max: 10.36Min: 21.57 / Avg: 21.63 / Max: 21.67Min: 19.41 / Avg: 19.43 / Max: 19.46Min: 18 / Avg: 18.01 / Max: 18.02Min: 12.97 / Avg: 13 / Max: 13.02Min: 9.22 / Avg: 9.25 / Max: 9.27Min: 9.04 / Avg: 9.07 / Max: 9.09Min: 6.69 / Avg: 6.7 / Max: 6.72Min: 7.2 / Avg: 7.21 / Max: 7.22Min: 5.65 / Avg: 5.66 / Max: 5.66Min: 5.78 / Avg: 5.81 / Max: 5.871. (CC) gcc options: -static -fopenmp -O3 -march=native

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.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X80160240320400SE +/- 0.14, N = 3SE +/- 0.66, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 3SE +/- 0.61, N = 3SE +/- 0.17, N = 3SE +/- 0.62, N = 3SE +/- 4.09, N = 3SE +/- 3.83, N = 12143.26183.5499.86105.81145.19171.17197.62197.64201.96228.06231.45380.92359.57MIN: 134.31 / MAX: 160.76MIN: 147.87 / MAX: 191.59MIN: 89.89 / MAX: 105.63MIN: 92.09 / MAX: 111.8MIN: 138.55 / MAX: 159.76MIN: 153.68 / MAX: 184.63MIN: 158.2 / MAX: 208.72MIN: 160.44 / MAX: 207.45MIN: 138.19 / MAX: 209.94MIN: 183.97 / MAX: 245.09MIN: 167.76 / MAX: 241.46MIN: 285.51 / MAX: 414.1MIN: 218.69 / MAX: 402.381. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X70140210280350Min: 143.02 / Avg: 143.26 / Max: 143.5Min: 182.23 / Avg: 183.54 / Max: 184.29Min: 99.71 / Avg: 99.86 / Max: 100.02Min: 105.67 / Avg: 105.81 / Max: 105.93Min: 145.11 / Avg: 145.19 / Max: 145.32Min: 170.91 / Avg: 171.17 / Max: 171.45Min: 197.39 / Avg: 197.62 / Max: 197.92Min: 197.5 / Avg: 197.64 / Max: 197.88Min: 200.84 / Avg: 201.96 / Max: 202.91Min: 227.9 / Avg: 228.06 / Max: 228.4Min: 230.53 / Avg: 231.45 / Max: 232.63Min: 372.97 / Avg: 380.92 / Max: 386.55Min: 322.81 / Avg: 359.57 / Max: 370.91. (CC) gcc options: -pthread

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm8192.in input file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X1.2692.5383.8075.0766.345SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 34.045.644.534.544.905.063.893.993.863.733.851.601.501. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X246810Min: 4.03 / Avg: 4.04 / Max: 4.05Min: 5.63 / Avg: 5.64 / Max: 5.65Min: 4.52 / Avg: 4.53 / Max: 4.54Min: 4.53 / Avg: 4.54 / Max: 4.54Min: 4.89 / Avg: 4.9 / Max: 4.91Min: 5.05 / Avg: 5.06 / Max: 5.06Min: 3.88 / Avg: 3.89 / Max: 3.9Min: 3.98 / Avg: 3.99 / Max: 3.99Min: 3.86 / Avg: 3.86 / Max: 3.87Min: 3.71 / Avg: 3.73 / Max: 3.74Min: 3.81 / Avg: 3.85 / Max: 3.86Min: 1.58 / Avg: 1.6 / Max: 1.64Min: 1.45 / Avg: 1.5 / Max: 1.541. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

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.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X20406080100SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 337.230.321.622.127.032.338.738.939.544.644.279.571.91. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X1530456075Min: 37.2 / Avg: 37.23 / Max: 37.3Min: 30.3 / Avg: 30.33 / Max: 30.4Min: 21.6 / Avg: 21.6 / Max: 21.6Min: 22 / Avg: 22.07 / Max: 22.1Min: 32.3 / Avg: 32.3 / Max: 32.3Min: 38.6 / Avg: 38.7 / Max: 38.8Min: 38.9 / Avg: 38.9 / Max: 38.9Min: 39.5 / Avg: 39.53 / Max: 39.6Min: 44.6 / Avg: 44.63 / Max: 44.7Min: 44.1 / Avg: 44.2 / Max: 44.3Min: 79.4 / Avg: 79.5 / Max: 79.6Min: 71.8 / Avg: 71.93 / Max: 72.11. (CC) gcc options: -O3 -pthread -lz -llzma

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X40K80K120K160K200KSE +/- 52.68, N = 3SE +/- 153.73, N = 3SE +/- 394.42, N = 3SE +/- 12.10, N = 3SE +/- 32.84, N = 3SE +/- 54.42, N = 3SE +/- 43.17, N = 3SE +/- 28.10, N = 3SE +/- 58.97, N = 3SE +/- 47.41, N = 3SE +/- 43.98, N = 3SE +/- 69.32, N = 3202481.0114230.0195793.0175332.0171301.0120735.093903.692214.266530.383458.762588.755241.2
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X40K80K120K160K200KMin: 202380 / Avg: 202481.33 / Max: 202557Min: 113971 / Avg: 114230 / Max: 114503Min: 195013 / Avg: 195793 / Max: 196285Min: 175309 / Avg: 175332 / Max: 175350Min: 171248 / Avg: 171300.67 / Max: 171361Min: 120645 / Avg: 120735 / Max: 120833Min: 93850.4 / Avg: 93903.6 / Max: 93989.1Min: 92161 / Avg: 92214.17 / Max: 92256.5Min: 66456.7 / Avg: 66530.3 / Max: 66646.9Min: 83371.6 / Avg: 83458.73 / Max: 83534.7Min: 62505.8 / Avg: 62588.7 / Max: 62655.6Min: 55129.1 / Avg: 55241.2 / Max: 55367.9

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X800K1600K2400K3200K4000KSE +/- 2574.96, N = 3SE +/- 151.69, N = 3SE +/- 5186.93, N = 3SE +/- 453.22, N = 3SE +/- 752.71, N = 3SE +/- 651.16, N = 3SE +/- 594.04, N = 3SE +/- 568.71, N = 3SE +/- 289.04, N = 3SE +/- 569.48, N = 3SE +/- 427.88, N = 3SE +/- 783.95, N = 3393806321395933834677344683733566932351497179501317610101288407159801312122371081307
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X700K1400K2100K2800K3500KMin: 3933380 / Avg: 3938063.33 / Max: 3942260Min: 2139290 / Avg: 2139593.33 / Max: 2139750Min: 3824600 / Avg: 3834676.67 / Max: 3841850Min: 3445970 / Avg: 3446836.67 / Max: 3447500Min: 3355240 / Avg: 3356693.33 / Max: 3357760Min: 2350200 / Avg: 2351496.67 / Max: 2352250Min: 1794040 / Avg: 1795013.33 / Max: 1796090Min: 1759900 / Avg: 1761010 / Max: 1761780Min: 1287850 / Avg: 1288406.67 / Max: 1288820Min: 1596940 / Avg: 1598013.33 / Max: 1598880Min: 1211520 / Avg: 1212236.67 / Max: 1213000Min: 1079840 / Avg: 1081306.67 / Max: 1082520

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X900K1800K2700K3600K4500KSE +/- 2267.19, N = 3SE +/- 212.21, N = 3SE +/- 5758.27, N = 3SE +/- 1831.95, N = 3SE +/- 2496.69, N = 3SE +/- 1145.44, N = 3SE +/- 793.87, N = 3SE +/- 699.74, N = 3SE +/- 902.45, N = 3SE +/- 185.20, N = 3SE +/- 792.49, N = 3SE +/- 938.44, N = 3435082323729304238377381864037131072600840199907019619401432403178038013469571206227
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X800K1600K2400K3200K4000KMin: 4347380 / Avg: 4350823.33 / Max: 4355100Min: 2372520 / Avg: 2372930 / Max: 2373230Min: 4231280 / Avg: 4238376.67 / Max: 4249780Min: 3815550 / Avg: 3818640 / Max: 3821890Min: 3710590 / Avg: 3713106.67 / Max: 3718100Min: 2598690 / Avg: 2600840 / Max: 2602600Min: 1997890 / Avg: 1999070 / Max: 2000580Min: 1960770 / Avg: 1961940 / Max: 1963190Min: 1430940 / Avg: 1432403.33 / Max: 1434050Min: 1780180 / Avg: 1780380 / Max: 1780750Min: 1345410 / Avg: 1346956.67 / Max: 1348030Min: 1204350 / Avg: 1206226.67 / Max: 1207190

Timed ImageMagick Compilation

This test times how long it takes to build ImageMagick. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1122334455SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 335.4324.7448.6545.1333.4527.9723.2222.7720.5819.5218.1713.55
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1020304050Min: 35.13 / Avg: 35.43 / Max: 35.58Min: 24.64 / Avg: 24.74 / Max: 24.89Min: 48.52 / Avg: 48.65 / Max: 48.79Min: 44.87 / Avg: 45.13 / Max: 45.31Min: 33.35 / Avg: 33.45 / Max: 33.5Min: 27.87 / Avg: 27.96 / Max: 28.14Min: 22.88 / Avg: 23.22 / Max: 23.44Min: 22.61 / Avg: 22.77 / Max: 22.94Min: 20.31 / Avg: 20.58 / Max: 20.73Min: 19.44 / Avg: 19.52 / Max: 19.62Min: 18 / Avg: 18.17 / Max: 18.29Min: 13.36 / Avg: 13.55 / Max: 13.74

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.

OpenBenchmarking.orgFPS, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow MappingCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X2004006008001000SE +/- 0.45, N = 3SE +/- 1.29, N = 3SE +/- 0.27, N = 3SE +/- 0.07, N = 3SE +/- 0.23, N = 3SE +/- 1.57, N = 3SE +/- 0.83, N = 3SE +/- 1.39, N = 3SE +/- 1.05, N = 3SE +/- 2.01, N = 3SE +/- 4.72, N = 3SE +/- 2.42, N = 3SE +/- 3.14, N = 3417.53706.15285.89305.10420.46545.54670.09684.39829.79873.701025.44849.51738.691. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++
OpenBenchmarking.orgFPS, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow MappingCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X2004006008001000Min: 416.63 / Avg: 417.53 / Max: 417.97Min: 703.58 / Avg: 706.15 / Max: 707.46Min: 285.58 / Avg: 285.89 / Max: 286.43Min: 305.03 / Avg: 305.1 / Max: 305.24Min: 420.19 / Avg: 420.46 / Max: 420.91Min: 542.42 / Avg: 545.54 / Max: 547.26Min: 668.67 / Avg: 670.09 / Max: 671.55Min: 681.71 / Avg: 684.39 / Max: 686.39Min: 828.57 / Avg: 829.79 / Max: 831.88Min: 870.1 / Avg: 873.7 / Max: 877.04Min: 1020.51 / Avg: 1025.44 / Max: 1034.88Min: 844.81 / Avg: 849.51 / Max: 852.88Min: 732.6 / Avg: 738.69 / Max: 743.051. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X60K120K180K240K300KSE +/- 9.85, N = 3SE +/- 7.51, N = 3SE +/- 866.41, N = 3SE +/- 41.39, N = 3SE +/- 12.72, N = 3SE +/- 92.04, N = 3SE +/- 17.57, N = 3SE +/- 149.12, N = 3SE +/- 47.83, N = 3SE +/- 69.62, N = 3SE +/- 64.29, N = 3SE +/- 134.06, N = 3296354.0167595.0288755.0258726.0251199.0180202.0138101.0135602.0100527.0123127.094678.283718.5
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X50K100K150K200K250KMin: 296340 / Avg: 296354 / Max: 296373Min: 167582 / Avg: 167595 / Max: 167608Min: 287210 / Avg: 288755 / Max: 290207Min: 258667 / Avg: 258726.33 / Max: 258806Min: 251184 / Avg: 251198.67 / Max: 251224Min: 180023 / Avg: 180202.33 / Max: 180328Min: 138066 / Avg: 138100.67 / Max: 138123Min: 135351 / Avg: 135602 / Max: 135867Min: 100479 / Avg: 100527.33 / Max: 100623Min: 123030 / Avg: 123127 / Max: 123262Min: 94552.9 / Avg: 94678.17 / Max: 94765.9Min: 83562.7 / Avg: 83718.53 / Max: 83985.4

FFTE

FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X20K40K60K80K100KSE +/- 77.79, N = 3SE +/- 25.33, N = 3SE +/- 347.09, N = 12SE +/- 103.15, N = 3SE +/- 18.52, N = 3SE +/- 29.41, N = 3SE +/- 29.89, N = 3SE +/- 98.83, N = 3SE +/- 34.63, N = 3SE +/- 18.60, N = 3SE +/- 39.63, N = 3SE +/- 646.16, N = 3SE +/- 251.50, N = 334083.3725630.0131041.6532899.6934238.2337466.4836851.9035670.0138565.5337925.6236137.4990241.0887806.061. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X16K32K48K64K80KMin: 33946.15 / Avg: 34083.37 / Max: 34215.49Min: 25580.24 / Avg: 25630.01 / Max: 25663.08Min: 27362.94 / Avg: 31041.65 / Max: 31788.85Min: 32693.79 / Avg: 32899.69 / Max: 33013.79Min: 34211.41 / Avg: 34238.23 / Max: 34273.76Min: 37410.5 / Avg: 37466.48 / Max: 37510.08Min: 36800.26 / Avg: 36851.9 / Max: 36903.79Min: 35474.9 / Avg: 35670.01 / Max: 35795Min: 38496.47 / Avg: 38565.53 / Max: 38604.6Min: 37889.99 / Avg: 37925.62 / Max: 37952.68Min: 36069.22 / Avg: 36137.49 / Max: 36206.51Min: 88964.34 / Avg: 90241.08 / Max: 91052.74Min: 87319.58 / Avg: 87806.06 / Max: 881601. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X714212835SE +/- 0.033, N = 3SE +/- 0.021, N = 3SE +/- 0.179, N = 3SE +/- 0.142, N = 3SE +/- 0.025, N = 3SE +/- 0.136, N = 3SE +/- 0.021, N = 3SE +/- 0.021, N = 3SE +/- 0.006, N = 3SE +/- 0.029, N = 3SE +/- 0.058, N = 3SE +/- 0.070, N = 3SE +/- 0.049, N = 328.48618.34331.78430.49927.16022.29013.59713.29410.81912.17210.2679.03910.3251. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X714212835Min: 28.43 / Avg: 28.49 / Max: 28.55Min: 18.31 / Avg: 18.34 / Max: 18.38Min: 31.55 / Avg: 31.78 / Max: 32.14Min: 30.22 / Avg: 30.5 / Max: 30.64Min: 27.13 / Avg: 27.16 / Max: 27.21Min: 22.02 / Avg: 22.29 / Max: 22.47Min: 13.57 / Avg: 13.6 / Max: 13.64Min: 13.26 / Avg: 13.29 / Max: 13.33Min: 10.81 / Avg: 10.82 / Max: 10.83Min: 12.13 / Avg: 12.17 / Max: 12.23Min: 10.15 / Avg: 10.27 / Max: 10.35Min: 8.93 / Avg: 9.04 / Max: 9.17Min: 10.24 / Avg: 10.33 / Max: 10.411. (CXX) g++ options: -O2 -lOpenCL

YafaRay

YafaRay is an open-source physically based montecarlo ray-tracing engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X50100150200250SE +/- 1.12, N = 3SE +/- 0.20, N = 3SE +/- 1.04, N = 3SE +/- 0.49, N = 3SE +/- 0.22, N = 3SE +/- 0.21, N = 3SE +/- 0.27, N = 3SE +/- 0.56, N = 3SE +/- 0.49, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 3198.11109.47231.83212.24180.78133.84103.71100.5579.7080.3966.151. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X4080120160200Min: 196.53 / Avg: 198.11 / Max: 200.29Min: 109.08 / Avg: 109.47 / Max: 109.71Min: 230.33 / Avg: 231.83 / Max: 233.83Min: 211.49 / Avg: 212.24 / Max: 213.16Min: 180.47 / Avg: 180.78 / Max: 181.2Min: 133.45 / Avg: 133.84 / Max: 134.15Min: 103.22 / Avg: 103.71 / Max: 104.14Min: 99.68 / Avg: 100.55 / Max: 101.6Min: 78.73 / Avg: 79.7 / Max: 80.33Min: 80.24 / Avg: 80.39 / Max: 80.53Min: 65.93 / Avg: 66.15 / Max: 66.471. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

Total Time For Sample Scene

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: yafaray: line 2: ./Core-3.4.1/install/usr/local/bin/yafaray-xml: No such file or directory

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X400800120016002000SE +/- 1.45, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 1.45, N = 3SE +/- 1.86, N = 3SE +/- 2.03, N = 3SE +/- 1.73, N = 3SE +/- 1.20, N = 3SE +/- 1.76, N = 3SE +/- 3.71, N = 3739126460063876010311432141518291610189320831796-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux1. (CC) gcc options: -fopenmp -O2 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X400800120016002000Min: 736 / Avg: 738.67 / Max: 741Min: 1263 / Avg: 1263.67 / Max: 1265Min: 600 / Avg: 600.33 / Max: 601Min: 637 / Avg: 637.67 / Max: 638Min: 758 / Avg: 760.33 / Max: 763Min: 1029 / Avg: 1031.33 / Max: 1035Min: 1428 / Avg: 1431.67 / Max: 1435Min: 1826 / Avg: 1829 / Max: 1832Min: 1891 / Avg: 1893.33 / Max: 1895Min: 2080 / Avg: 2083.33 / Max: 2086Min: 1791 / Avg: 1795.67 / Max: 18031. (CC) gcc options: -fopenmp -O2 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X306090120150SE +/- 0.63, N = 3SE +/- 0.08, N = 3SE +/- 0.34, N = 3SE +/- 0.32, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 3SE +/- 0.44, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.27, N = 3SE +/- 0.08, N = 3106.4171.86135.74124.21101.9780.8868.1867.3059.4058.6552.7540.001. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X306090120150Min: 105.55 / Avg: 106.41 / Max: 107.64Min: 71.69 / Avg: 71.86 / Max: 71.96Min: 135.33 / Avg: 135.74 / Max: 136.41Min: 123.68 / Avg: 124.21 / Max: 124.77Min: 101.92 / Avg: 101.97 / Max: 101.99Min: 80.65 / Avg: 80.88 / Max: 81.18Min: 67.55 / Avg: 68.18 / Max: 69.03Min: 67.05 / Avg: 67.3 / Max: 67.5Min: 59.28 / Avg: 59.4 / Max: 59.49Min: 58.55 / Avg: 58.65 / Max: 58.73Min: 52.31 / Avg: 52.75 / Max: 53.24Min: 39.9 / Avg: 40 / Max: 40.151. (CXX) g++ options: -O3 -fPIC

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X40K80K120K160K200KSE +/- 26.52, N = 3SE +/- 268.60, N = 3SE +/- 120.14, N = 3SE +/- 77.44, N = 3SE +/- 18.84, N = 3SE +/- 113.90, N = 3SE +/- 68.68, N = 3SE +/- 14.97, N = 3SE +/- 29.88, N = 3SE +/- 56.67, N = 3SE +/- 45.89, N = 3SE +/- 1133.21, N = 3205404.0117619.0209204.0188045.0175736.0123482.096280.294517.068497.991290.467914.561668.7
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X40K80K120K160K200KMin: 205354 / Avg: 205404.33 / Max: 205444Min: 117083 / Avg: 117619.33 / Max: 117914Min: 208993 / Avg: 209204.33 / Max: 209409Min: 187904 / Avg: 188045 / Max: 188171Min: 175708 / Avg: 175736.33 / Max: 175772Min: 123311 / Avg: 123482.33 / Max: 123698Min: 96153.1 / Avg: 96280.17 / Max: 96388.9Min: 94490.5 / Avg: 94517 / Max: 94542.3Min: 68438.2 / Avg: 68497.87 / Max: 68530.5Min: 91212.1 / Avg: 91290.37 / Max: 91400.5Min: 67824.6 / Avg: 67914.53 / Max: 67975.4Min: 60492.6 / Avg: 61668.73 / Max: 63934.6

Tungsten Renderer

Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Volumetric CausticCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X48121620SE +/- 0.00733, N = 3SE +/- 0.01244, N = 3SE +/- 0.04612, N = 3SE +/- 0.03970, N = 3SE +/- 0.02071, N = 3SE +/- 0.02615, N = 3SE +/- 0.01161, N = 3SE +/- 0.01628, N = 3SE +/- 0.00557, N = 3SE +/- 0.01483, N = 3SE +/- 0.00440, N = 312.232207.0072816.8367015.2225013.511409.879307.421957.249605.614405.956644.96614-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi21. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Volumetric CausticCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X48121620Min: 12.22 / Avg: 12.23 / Max: 12.25Min: 6.99 / Avg: 7.01 / Max: 7.03Min: 16.75 / Avg: 16.84 / Max: 16.9Min: 15.14 / Avg: 15.22 / Max: 15.27Min: 13.47 / Avg: 13.51 / Max: 13.55Min: 9.84 / Avg: 9.88 / Max: 9.93Min: 7.4 / Avg: 7.42 / Max: 7.44Min: 7.22 / Avg: 7.25 / Max: 7.28Min: 5.61 / Avg: 5.61 / Max: 5.63Min: 5.93 / Avg: 5.96 / Max: 5.98Min: 4.96 / Avg: 4.97 / Max: 4.971. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

Scene: Volumetric Caustic

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: tungsten: line 3: ./tungsten: No such file or directory

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X20406080100SE +/- 0.28, N = 3SE +/- 0.15, N = 3SE +/- 0.07, N = 3SE +/- 0.24, N = 3SE +/- 0.14, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 363.9042.7781.8874.5161.3448.5241.1140.4335.6835.2132.2024.341. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1632486480Min: 63.52 / Avg: 63.9 / Max: 64.44Min: 42.55 / Avg: 42.77 / Max: 43.06Min: 81.76 / Avg: 81.88 / Max: 82.01Min: 74.05 / Avg: 74.51 / Max: 74.88Min: 61.05 / Avg: 61.34 / Max: 61.51Min: 48.29 / Avg: 48.52 / Max: 48.71Min: 40.91 / Avg: 41.11 / Max: 41.25Min: 40.27 / Avg: 40.43 / Max: 40.55Min: 35.61 / Avg: 35.67 / Max: 35.71Min: 35.08 / Avg: 35.21 / Max: 35.35Min: 32.02 / Avg: 32.2 / Max: 32.39Min: 24.24 / Avg: 24.34 / Max: 24.41. (CXX) g++ options: -O3 -fPIC

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X70140210280350SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.22, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 3306.90170.21337.70306.32274.19199.87145.09140.27105.63121.94101.251. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X60120180240300Min: 306.79 / Avg: 306.9 / Max: 307.1Min: 170.01 / Avg: 170.21 / Max: 170.38Min: 337.25 / Avg: 337.7 / Max: 337.93Min: 306.27 / Avg: 306.32 / Max: 306.35Min: 274.12 / Avg: 274.19 / Max: 274.28Min: 199.76 / Avg: 199.87 / Max: 199.95Min: 144.99 / Avg: 145.09 / Max: 145.15Min: 140.07 / Avg: 140.27 / Max: 140.45Min: 105.51 / Avg: 105.63 / Max: 105.74Min: 121.83 / Avg: 121.94 / Max: 122Min: 100.97 / Avg: 101.25 / Max: 101.461. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Preset: Exhaustive

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: astcenc: line 2: ./astc-encoder-2.0/Source/astcenc-avx2: No such file or directory

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.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X2K4K6K8K10KSE +/- 10.49, N = 3SE +/- 3.56, N = 3SE +/- 5.74, N = 3SE +/- 20.88, N = 3SE +/- 5.02, N = 3SE +/- 16.97, N = 3SE +/- 11.08, N = 3SE +/- 9.17, N = 3SE +/- 11.36, N = 3SE +/- 1.96, N = 3SE +/- 17.79, N = 3SE +/- 1.46, N = 3SE +/- 20.65, N = 33633.42922.33204.63309.94561.34265.94499.84483.54059.15879.84896.18640.39740.01. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X2K4K6K8K10KMin: 3614.1 / Avg: 3633.37 / Max: 3650.2Min: 2915.5 / Avg: 2922.3 / Max: 2927.5Min: 3193.4 / Avg: 3204.63 / Max: 3212.3Min: 3271.3 / Avg: 3309.9 / Max: 3343Min: 4551.9 / Avg: 4561.27 / Max: 4569.1Min: 4241.7 / Avg: 4265.87 / Max: 4298.6Min: 4479.3 / Avg: 4499.83 / Max: 4517.3Min: 4468.7 / Avg: 4483.53 / Max: 4500.3Min: 4042.2 / Avg: 4059.1 / Max: 4080.7Min: 5876 / Avg: 5879.83 / Max: 5882.5Min: 4866.5 / Avg: 4896.1 / Max: 4928Min: 8638 / Avg: 8640.27 / Max: 8643Min: 9703.8 / Avg: 9740.03 / Max: 9775.31. (CC) gcc options: -O3 -pthread -lz -llzma

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X1020304050SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 338.0121.3142.1738.3934.3725.1318.3917.8113.5515.4112.851. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X918273645Min: 37.99 / Avg: 38.01 / Max: 38.02Min: 21.31 / Avg: 21.31 / Max: 21.32Min: 42.15 / Avg: 42.17 / Max: 42.2Min: 38.32 / Avg: 38.39 / Max: 38.43Min: 34.33 / Avg: 34.37 / Max: 34.4Min: 25.1 / Avg: 25.13 / Max: 25.16Min: 18.36 / Avg: 18.39 / Max: 18.42Min: 17.79 / Avg: 17.81 / Max: 17.82Min: 13.54 / Avg: 13.55 / Max: 13.55Min: 15.36 / Avg: 15.41 / Max: 15.44Min: 12.82 / Avg: 12.85 / Max: 12.871. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Preset: Thorough

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: astcenc: line 2: ./astc-encoder-2.0/Source/astcenc-avx2: No such file or directory

Tungsten Renderer

Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Non-ExponentialCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.01150, N = 3SE +/- 0.01251, N = 3SE +/- 0.03130, N = 3SE +/- 0.03677, N = 3SE +/- 0.02845, N = 3SE +/- 0.01889, N = 3SE +/- 0.00415, N = 3SE +/- 0.08565, N = 14SE +/- 0.00924, N = 3SE +/- 0.01327, N = 3SE +/- 0.00273, N = 38.899845.1460312.4271011.2984010.437807.583435.809235.793384.384734.683103.78827-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi21. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Non-ExponentialCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X48121620Min: 8.88 / Avg: 8.9 / Max: 8.92Min: 5.13 / Avg: 5.15 / Max: 5.17Min: 12.39 / Avg: 12.43 / Max: 12.49Min: 11.25 / Avg: 11.3 / Max: 11.37Min: 10.39 / Avg: 10.44 / Max: 10.49Min: 7.55 / Avg: 7.58 / Max: 7.61Min: 5.8 / Avg: 5.81 / Max: 5.82Min: 5.69 / Avg: 5.79 / Max: 6.91Min: 4.38 / Avg: 4.38 / Max: 4.4Min: 4.67 / Avg: 4.68 / Max: 4.71Min: 3.78 / Avg: 3.79 / Max: 3.791. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

Scene: Non-Exponential

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: tungsten: line 3: ./tungsten: No such file or directory

LAMMPS Molecular Dynamics Simulator

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

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.018, N = 3SE +/- 0.035, N = 3SE +/- 0.032, N = 15SE +/- 0.039, N = 3SE +/- 0.012, N = 3SE +/- 0.073, N = 3SE +/- 0.087, N = 3SE +/- 0.144, N = 3SE +/- 0.251, N = 15SE +/- 0.117, N = 3SE +/- 0.065, N = 35.2938.7014.0354.5765.2666.8809.2629.48711.54110.71913.0911. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X48121620Min: 5.27 / Avg: 5.29 / Max: 5.33Min: 8.65 / Avg: 8.7 / Max: 8.77Min: 3.8 / Avg: 4.03 / Max: 4.18Min: 4.51 / Avg: 4.58 / Max: 4.64Min: 5.25 / Avg: 5.27 / Max: 5.29Min: 6.74 / Avg: 6.88 / Max: 6.98Min: 9.17 / Avg: 9.26 / Max: 9.44Min: 9.21 / Avg: 9.49 / Max: 9.68Min: 9.22 / Avg: 11.54 / Max: 12.35Min: 10.49 / Avg: 10.72 / Max: 10.88Min: 13 / Avg: 13.09 / Max: 13.211. (CXX) g++ options: -O3 -pthread -lm

Appleseed

Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TesterCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X70140210280350282.58166.41315.83289.14265.42199.43160.13155.82125.26134.45111.3997.65

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X306090120150SE +/- 0.71, N = 3SE +/- 0.50, N = 3SE +/- 0.83, N = 3SE +/- 0.64, N = 3SE +/- 0.56, N = 3SE +/- 0.51, N = 3SE +/- 0.50, N = 3SE +/- 0.60, N = 3SE +/- 0.56, N = 3SE +/- 0.47, N = 3SE +/- 0.64, N = 3106.4363.95142.56130.23100.4076.6957.9156.7847.3652.2745.42
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X306090120150Min: 105.7 / Avg: 106.43 / Max: 107.84Min: 63.17 / Avg: 63.95 / Max: 64.89Min: 141.68 / Avg: 142.56 / Max: 144.21Min: 129.57 / Avg: 130.23 / Max: 131.51Min: 99.28 / Avg: 100.4 / Max: 101.05Min: 76.13 / Avg: 76.69 / Max: 77.71Min: 57.37 / Avg: 57.91 / Max: 58.91Min: 55.77 / Avg: 56.78 / Max: 57.83Min: 46.57 / Avg: 47.36 / Max: 48.44Min: 51.79 / Avg: 52.27 / Max: 53.2Min: 44.44 / Avg: 45.42 / Max: 46.63

Time To Compile

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: subcmd-util.h:58:31: error: pointer may be used after ‘realloc’ [-Werror=use-after-free]

Tungsten Renderer

Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HairCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X918273645SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 335.6820.0740.5936.9633.1724.3717.9317.3813.5415.6813.14-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi21. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HairCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X816243240Min: 35.58 / Avg: 35.68 / Max: 35.8Min: 20 / Avg: 20.07 / Max: 20.21Min: 40.49 / Avg: 40.59 / Max: 40.74Min: 36.9 / Avg: 36.96 / Max: 37.02Min: 33.08 / Avg: 33.17 / Max: 33.23Min: 24.37 / Avg: 24.37 / Max: 24.38Min: 17.91 / Avg: 17.93 / Max: 17.95Min: 17.26 / Avg: 17.38 / Max: 17.5Min: 13.53 / Avg: 13.54 / Max: 13.56Min: 15.66 / Avg: 15.68 / Max: 15.7Min: 13.13 / Avg: 13.14 / Max: 13.151. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

Scene: Hair

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: tungsten: line 3: ./tungsten: No such file or directory

Timed LLVM Compilation

This test times how long it takes to build the LLVM compiler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X2004006008001000SE +/- 0.78, N = 3SE +/- 2.33, N = 3SE +/- 3.27, N = 3SE +/- 3.63, N = 3SE +/- 1.66, N = 3SE +/- 0.22, N = 3SE +/- 3.29, N = 3SE +/- 2.72, N = 3SE +/- 4.14, N = 3SE +/- 1.43, N = 3SE +/- 4.08, N = 3807.29506.571114.221024.46748.56586.16446.18432.30364.33402.44361.17
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X2004006008001000Min: 805.73 / Avg: 807.29 / Max: 808.21Min: 502.06 / Avg: 506.57 / Max: 509.8Min: 1110.08 / Avg: 1114.22 / Max: 1120.68Min: 1020.47 / Avg: 1024.46 / Max: 1031.72Min: 745.26 / Avg: 748.56 / Max: 750.47Min: 585.88 / Avg: 586.16 / Max: 586.61Min: 441.82 / Avg: 446.18 / Max: 452.62Min: 428.79 / Avg: 432.3 / Max: 437.66Min: 356.08 / Avg: 364.33 / Max: 369.01Min: 400.02 / Avg: 402.44 / Max: 404.97Min: 354.73 / Avg: 361.17 / Max: 368.72

Time To Compile

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: llvm-10.0.0.src/utils/benchmark/src/benchmark_register.h:17:49: error: ‘::max’ has not been declared; did you mean ‘std::max’?

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X50100150200250SE +/- 2.07, N = 3SE +/- 1.08, N = 15SE +/- 0.82, N = 3SE +/- 2.62, N = 3SE +/- 0.81, N = 3SE +/- 1.55, N = 3SE +/- 0.34, N = 3SE +/- 0.37, N = 3SE +/- 0.56, N = 3SE +/- 0.12, N = 3SE +/- 0.28, N = 3152.5693.11209.27193.62150.81113.8086.3083.1977.8570.6167.90
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X4080120160200Min: 148.43 / Avg: 152.56 / Max: 154.93Min: 87.79 / Avg: 93.11 / Max: 98.95Min: 208.05 / Avg: 209.27 / Max: 210.83Min: 189.64 / Avg: 193.62 / Max: 198.56Min: 149.58 / Avg: 150.81 / Max: 152.33Min: 112.21 / Avg: 113.8 / Max: 116.9Min: 85.66 / Avg: 86.3 / Max: 86.84Min: 82.72 / Avg: 83.19 / Max: 83.93Min: 76.89 / Avg: 77.85 / Max: 78.83Min: 70.43 / Avg: 70.61 / Max: 70.84Min: 67.54 / Avg: 67.9 / Max: 68.44

Detector: Earthgecko Skyline

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

SciMark

This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Fast Fourier TransformCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X130260390520650SE +/- 2.26, N = 3SE +/- 1.18, N = 3SE +/- 1.75, N = 3SE +/- 1.16, N = 3SE +/- 6.73, N = 3SE +/- 2.43, N = 3SE +/- 16.54, N = 3SE +/- 6.33, N = 3SE +/- 4.86, N = 3SE +/- 1.54, N = 3SE +/- 3.07, N = 3SE +/- 28.74, N = 3SE +/- 54.20, N = 3265.78390.00200.98201.06306.45262.48310.86371.29374.19495.79521.05610.31617.621. (CC) gcc options: -lm
OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Fast Fourier TransformCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X110220330440550Min: 261.33 / Avg: 265.78 / Max: 268.73Min: 387.64 / Avg: 390 / Max: 391.18Min: 198.56 / Avg: 200.98 / Max: 204.39Min: 199.78 / Avg: 201.06 / Max: 203.38Min: 297.33 / Avg: 306.45 / Max: 319.58Min: 258.37 / Avg: 262.48 / Max: 266.78Min: 280.74 / Avg: 310.86 / Max: 337.75Min: 364.22 / Avg: 371.29 / Max: 383.92Min: 367.53 / Avg: 374.19 / Max: 383.66Min: 493.45 / Avg: 495.79 / Max: 498.7Min: 514.91 / Avg: 521.05 / Max: 524.42Min: 552.99 / Avg: 610.31 / Max: 642.58Min: 509.69 / Avg: 617.62 / Max: 680.41. (CC) gcc options: -lm

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X306090120150SE +/- 0.68, N = 3SE +/- 0.09, N = 3SE +/- 1.64, N = 3SE +/- 1.24, N = 3SE +/- 1.10, N = 3SE +/- 0.45, N = 3SE +/- 0.24, N = 3SE +/- 0.15, N = 3SE +/- 0.56, N = 3SE +/- 0.08, N = 3SE +/- 0.90, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3131.4082.98154.76141.02127.40118.7488.5986.7977.7872.5669.8152.6351.941. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X306090120150Min: 130.31 / Avg: 131.4 / Max: 132.65Min: 82.84 / Avg: 82.98 / Max: 83.15Min: 152.45 / Avg: 154.76 / Max: 157.94Min: 139.5 / Avg: 141.02 / Max: 143.47Min: 126.24 / Avg: 127.4 / Max: 129.61Min: 118.06 / Avg: 118.74 / Max: 119.59Min: 88.32 / Avg: 88.59 / Max: 89.06Min: 86.51 / Avg: 86.79 / Max: 87Min: 76.68 / Avg: 77.78 / Max: 78.55Min: 72.41 / Avg: 72.56 / Max: 72.7Min: 68.79 / Avg: 69.81 / Max: 71.6Min: 52.42 / Avg: 52.63 / Max: 52.92Min: 51.81 / Avg: 51.94 / Max: 52.111. (CXX) g++ options: -O2 -lOpenCL

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X714212835SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.20, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 3SE +/- 0.09, N = 318.7916.4131.6829.3818.8317.0816.4916.5017.1212.3612.6510.78MIN: 18.56 / MAX: 29.54MIN: 16.34 / MAX: 17.53MIN: 28.97 / MAX: 33.4MIN: 27.24 / MAX: 87.03MIN: 18.42 / MAX: 19.87MIN: 16.45 / MAX: 18.57MIN: 16.16 / MAX: 16.99MIN: 16.21 / MAX: 16.8MIN: 16.58 / MAX: 50.65MIN: 12.07 / MAX: 31.33MIN: 12.38 / MAX: 13.1MIN: 9.85 / MAX: 16.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X714212835Min: 18.72 / Avg: 18.79 / Max: 18.88Min: 16.39 / Avg: 16.41 / Max: 16.43Min: 31.56 / Avg: 31.68 / Max: 31.85Min: 29.19 / Avg: 29.38 / Max: 29.59Min: 18.58 / Avg: 18.83 / Max: 18.95Min: 16.69 / Avg: 17.08 / Max: 17.34Min: 16.3 / Avg: 16.49 / Max: 16.81Min: 16.37 / Avg: 16.5 / Max: 16.62Min: 16.84 / Avg: 17.12 / Max: 17.32Min: 12.3 / Avg: 12.36 / Max: 12.39Min: 12.47 / Avg: 12.65 / Max: 12.96Min: 10.65 / Avg: 10.78 / Max: 10.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X50100150200250SE +/- 0.09, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.37, N = 3SE +/- 0.29, N = 3SE +/- 0.21, N = 3SE +/- 0.21, N = 3SE +/- 4.79, N = 15SE +/- 0.61, N = 3102.72131.9480.0986.4897.93105.06110.59110.90113.75128.47133.14223.38231.08MIN: 66.79 / MAX: 241.72MIN: 84.38 / MAX: 304.84MIN: 53.02 / MAX: 189.9MIN: 57.16 / MAX: 200.8MIN: 63.93 / MAX: 233.22MIN: 69.5 / MAX: 241.03MIN: 74.04 / MAX: 240.86MIN: 74.1 / MAX: 238.95MIN: 77.63 / MAX: 233.82MIN: 88.05 / MAX: 273.02MIN: 92.76 / MAX: 272.06MIN: 117.1 / MAX: 478.57MIN: 151.11 / MAX: 484.681. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X4080120160200Min: 102.61 / Avg: 102.72 / Max: 102.89Min: 131.66 / Avg: 131.94 / Max: 132.14Min: 80.02 / Avg: 80.09 / Max: 80.22Min: 86.41 / Avg: 86.48 / Max: 86.55Min: 97.82 / Avg: 97.93 / Max: 98.1Min: 104.91 / Avg: 105.06 / Max: 105.19Min: 110.47 / Avg: 110.59 / Max: 110.67Min: 110.37 / Avg: 110.9 / Max: 111.62Min: 113.18 / Avg: 113.75 / Max: 114.04Min: 128.16 / Avg: 128.47 / Max: 128.88Min: 132.73 / Avg: 133.14 / Max: 133.41Min: 173.15 / Avg: 223.38 / Max: 235.66Min: 230.21 / Avg: 231.08 / Max: 232.251. (CC) gcc options: -pthread

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: linpkCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X0.991.982.973.964.952.642.284.404.343.133.123.203.223.031.531.541.781.57

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X612182430SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.14, N = 3SE +/- 0.35, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 316.1714.0426.9025.3817.8816.2915.9516.3915.9712.9513.309.55MIN: 15.98 / MAX: 27.23MIN: 13.85 / MAX: 15.37MIN: 25.24 / MAX: 30.17MIN: 23.56 / MAX: 136.33MIN: 17.74 / MAX: 19.69MIN: 15.98 / MAX: 18.5MIN: 15.58 / MAX: 16.48MIN: 15.95 / MAX: 85.44MIN: 15.54 / MAX: 16.76MIN: 12.49 / MAX: 14.61MIN: 12.97 / MAX: 13.74MIN: 8.7 / MAX: 12.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X612182430Min: 16.05 / Avg: 16.17 / Max: 16.27Min: 14.03 / Avg: 14.04 / Max: 14.06Min: 26.64 / Avg: 26.9 / Max: 27.1Min: 24.86 / Avg: 25.38 / Max: 26.06Min: 17.86 / Avg: 17.88 / Max: 17.92Min: 16.09 / Avg: 16.29 / Max: 16.42Min: 15.79 / Avg: 15.95 / Max: 16.15Min: 16.28 / Avg: 16.39 / Max: 16.57Min: 15.89 / Avg: 15.97 / Max: 16.04Min: 12.7 / Avg: 12.95 / Max: 13.26Min: 13.26 / Avg: 13.3 / Max: 13.35Min: 9.48 / Avg: 9.55 / Max: 9.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9/WebM format using a sample 1080p video. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X1122334455SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.36, N = 3SE +/- 0.20, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 328.6630.3417.3419.3025.9926.9925.8325.6425.3731.1230.8145.6648.041. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X1020304050Min: 28.47 / Avg: 28.66 / Max: 28.85Min: 30.2 / Avg: 30.34 / Max: 30.52Min: 17.26 / Avg: 17.34 / Max: 17.41Min: 19.05 / Avg: 19.3 / Max: 19.51Min: 25.89 / Avg: 25.99 / Max: 26.14Min: 26.82 / Avg: 26.99 / Max: 27.31Min: 25.71 / Avg: 25.83 / Max: 25.95Min: 25.52 / Avg: 25.64 / Max: 25.77Min: 25.31 / Avg: 25.37 / Max: 25.45Min: 30.49 / Avg: 31.12 / Max: 31.75Min: 30.48 / Avg: 30.81 / Max: 31.18Min: 45.4 / Avg: 45.66 / Max: 45.99Min: 47.93 / Avg: 48.04 / Max: 48.121. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X2004006008001000SE +/- 0.84, N = 3SE +/- 2.16, N = 3SE +/- 0.13, N = 3SE +/- 0.51, N = 3SE +/- 1.99, N = 3SE +/- 2.64, N = 3SE +/- 3.07, N = 3SE +/- 1.51, N = 3SE +/- 2.57, N = 3SE +/- 2.53, N = 3SE +/- 6.57, N = 3SE +/- 1.82, N = 3413.80451.53299.09318.91415.99432.12409.49425.55422.17550.69542.76825.39
OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X140280420560700Min: 412.91 / Avg: 413.8 / Max: 415.48Min: 447.88 / Avg: 451.53 / Max: 455.36Min: 298.91 / Avg: 299.09 / Max: 299.33Min: 317.9 / Avg: 318.91 / Max: 319.5Min: 412.02 / Avg: 415.99 / Max: 418.32Min: 427.21 / Avg: 432.12 / Max: 436.24Min: 405.48 / Avg: 409.49 / Max: 415.52Min: 422.55 / Avg: 425.55 / Max: 427.33Min: 418.29 / Avg: 422.17 / Max: 427.03Min: 547.45 / Avg: 550.69 / Max: 555.67Min: 529.63 / Avg: 542.76 / Max: 549.85Min: 823.01 / Avg: 825.39 / Max: 828.97

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.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X0.29030.58060.87091.16121.4515SE +/- 0.004, N = 3SE +/- 0.005, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.005, N = 30.8420.9770.4690.5040.7330.8231.1331.1361.2361.2841.2901. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X246810Min: 0.83 / Avg: 0.84 / Max: 0.85Min: 0.97 / Avg: 0.98 / Max: 0.99Min: 0.47 / Avg: 0.47 / Max: 0.47Min: 0.5 / Avg: 0.5 / Max: 0.5Min: 0.73 / Avg: 0.73 / Max: 0.73Min: 0.82 / Avg: 0.82 / Max: 0.82Min: 1.13 / Avg: 1.13 / Max: 1.13Min: 1.13 / Avg: 1.14 / Max: 1.14Min: 1.23 / Avg: 1.24 / Max: 1.24Min: 1.28 / Avg: 1.28 / Max: 1.29Min: 1.28 / Avg: 1.29 / Max: 1.31. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

Water Benchmark

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Nebular Empirical Analysis Tool

NEAT is the Nebular Empirical Analysis Tool for empirical analysis of ionised nebulae, with uncertainty propagation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X510152025SE +/- 0.062, N = 3SE +/- 0.039, N = 3SE +/- 0.025, N = 3SE +/- 0.001, N = 3SE +/- 0.014, N = 3SE +/- 0.072, N = 3SE +/- 0.102, N = 3SE +/- 0.090, N = 3SE +/- 0.027, N = 3SE +/- 0.028, N = 3SE +/- 0.040, N = 3SE +/- 0.030, N = 3SE +/- 0.043, N = 319.67914.23422.75220.88218.04814.96813.47713.22612.24211.01610.3638.3058.5391. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace
OpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X510152025Min: 19.62 / Avg: 19.68 / Max: 19.8Min: 14.19 / Avg: 14.23 / Max: 14.31Min: 22.7 / Avg: 22.75 / Max: 22.78Min: 20.88 / Avg: 20.88 / Max: 20.88Min: 18.02 / Avg: 18.05 / Max: 18.07Min: 14.84 / Avg: 14.97 / Max: 15.09Min: 13.32 / Avg: 13.48 / Max: 13.67Min: 13.06 / Avg: 13.23 / Max: 13.37Min: 12.19 / Avg: 12.24 / Max: 12.28Min: 10.98 / Avg: 11.02 / Max: 11.07Min: 10.3 / Avg: 10.36 / Max: 10.44Min: 8.26 / Avg: 8.3 / Max: 8.36Min: 8.46 / Avg: 8.54 / Max: 8.61. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X816243240SE +/- 0.40, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.52, N = 3SE +/- 0.14, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.23, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 15SE +/- 0.09, N = 324.8016.9933.5130.3824.8119.0116.2616.0314.7313.2512.24
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X714212835Min: 24.36 / Avg: 24.8 / Max: 25.6Min: 16.72 / Avg: 16.99 / Max: 17.15Min: 33.45 / Avg: 33.51 / Max: 33.56Min: 29.55 / Avg: 30.37 / Max: 31.35Min: 24.57 / Avg: 24.81 / Max: 25.05Min: 18.73 / Avg: 19.01 / Max: 19.32Min: 16.19 / Avg: 16.26 / Max: 16.37Min: 15.57 / Avg: 16.03 / Max: 16.3Min: 14.64 / Avg: 14.73 / Max: 14.78Min: 12.65 / Avg: 13.25 / Max: 14.37Min: 12.06 / Avg: 12.23 / Max: 12.34

Detector: Relative Entropy

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TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X50K100K150K200K250KSE +/- 40.25, N = 3SE +/- 273.40, N = 3SE +/- 1326.69, N = 3SE +/- 297.43, N = 3SE +/- 192.72, N = 3SE +/- 928.82, N = 3SE +/- 186.00, N = 3SE +/- 739.92, N = 3SE +/- 197.01, N = 3SE +/- 519.62, N = 3SE +/- 317.75, N = 3SE +/- 201.64, N = 3236704.0147694.0248092.0222099.0213644.0156768.0140368.0139014.0117199.0122229.0106372.091142.1
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X40K80K120K160K200KMin: 236638 / Avg: 236704.33 / Max: 236777Min: 147283 / Avg: 147694.33 / Max: 148212Min: 246274 / Avg: 248092.33 / Max: 250675Min: 221515 / Avg: 222099.33 / Max: 222488Min: 213284 / Avg: 213644.33 / Max: 213943Min: 154926 / Avg: 156767.67 / Max: 157899Min: 139997 / Avg: 140368 / Max: 140577Min: 138173 / Avg: 139014 / Max: 140489Min: 116879 / Avg: 117198.67 / Max: 117558Min: 121326 / Avg: 122229 / Max: 123126Min: 105755 / Avg: 106371.67 / Max: 106813Min: 90827 / Avg: 91142.07 / Max: 91517.6

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X1632486480SE +/- 0.12, N = 3SE +/- 0.13, N = 3SE +/- 0.83, N = 3SE +/- 0.12, N = 3SE +/- 0.24, N = 3SE +/- 0.58, N = 3SE +/- 0.15, N = 8SE +/- 0.16, N = 3SE +/- 0.28, N = 3SE +/- 0.17, N = 15SE +/- 0.08, N = 338.4729.4371.5766.4636.0232.4631.5532.4836.9826.8826.80MIN: 38.12 / MAX: 51.85MIN: 29.01 / MAX: 39.64MIN: 69.74 / MAX: 86.54MIN: 66.03 / MAX: 79.02MIN: 35.38 / MAX: 46.54MIN: 31.11 / MAX: 44.49MIN: 30.42 / MAX: 44.63MIN: 31.9 / MAX: 45.8MIN: 35.45 / MAX: 47.52MIN: 25.86 / MAX: 39.31MIN: 26.49 / MAX: 39.31. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X1428425670Min: 38.23 / Avg: 38.47 / Max: 38.62Min: 29.3 / Avg: 29.43 / Max: 29.68Min: 69.97 / Avg: 71.57 / Max: 72.72Min: 66.22 / Avg: 66.46 / Max: 66.63Min: 35.55 / Avg: 36.02 / Max: 36.26Min: 31.31 / Avg: 32.46 / Max: 33.17Min: 30.95 / Avg: 31.55 / Max: 32.15Min: 32.22 / Avg: 32.48 / Max: 32.78Min: 36.43 / Avg: 36.98 / Max: 37.33Min: 26.16 / Avg: 26.88 / Max: 28Min: 26.64 / Avg: 26.8 / Max: 26.91. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Model: inception-v3

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: mnn: line 3: ./benchmark.out: No such file or directory

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.021, N = 3SE +/- 0.060, N = 3SE +/- 0.027, N = 3SE +/- 0.048, N = 3SE +/- 0.084, N = 3SE +/- 0.080, N = 3SE +/- 0.076, N = 8SE +/- 0.100, N = 3SE +/- 0.082, N = 3SE +/- 0.062, N = 15SE +/- 0.059, N = 35.6514.33111.52510.6476.5626.0347.2347.2358.1626.1116.448MIN: 5.51 / MAX: 10.9MIN: 4.15 / MAX: 16.62MIN: 11.38 / MAX: 27.5MIN: 10.44 / MAX: 23.54MIN: 6.33 / MAX: 8.06MIN: 5.82 / MAX: 15.84MIN: 6.68 / MAX: 15.68MIN: 6.96 / MAX: 9.38MIN: 7.83 / MAX: 11.13MIN: 5.64 / MAX: 17.69MIN: 6.19 / MAX: 16.361. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X3691215Min: 5.61 / Avg: 5.65 / Max: 5.69Min: 4.24 / Avg: 4.33 / Max: 4.45Min: 11.47 / Avg: 11.53 / Max: 11.56Min: 10.57 / Avg: 10.65 / Max: 10.74Min: 6.4 / Avg: 6.56 / Max: 6.68Min: 5.89 / Avg: 6.03 / Max: 6.17Min: 6.8 / Avg: 7.23 / Max: 7.41Min: 7.04 / Avg: 7.23 / Max: 7.37Min: 8.02 / Avg: 8.16 / Max: 8.31Min: 5.7 / Avg: 6.11 / Max: 6.54Min: 6.36 / Avg: 6.45 / Max: 6.561. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Model: SqueezeNetV1.0

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: mnn: line 3: ./benchmark.out: No such file or directory

Timed PHP Compilation

This test times how long it takes to build PHP 7. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X20406080100SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.27, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.23, N = 3SE +/- 0.07, N = 3SE +/- 0.18, N = 366.2647.7991.4184.4764.4154.1446.7946.2742.3740.1237.3735.18
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X20406080100Min: 66.21 / Avg: 66.26 / Max: 66.35Min: 47.58 / Avg: 47.79 / Max: 48.03Min: 91.31 / Avg: 91.41 / Max: 91.48Min: 84.25 / Avg: 84.47 / Max: 84.66Min: 64.31 / Avg: 64.41 / Max: 64.54Min: 54.02 / Avg: 54.14 / Max: 54.33Min: 46.39 / Avg: 46.79 / Max: 47.3Min: 46.1 / Avg: 46.27 / Max: 46.43Min: 42.25 / Avg: 42.37 / Max: 42.57Min: 39.74 / Avg: 40.12 / Max: 40.53Min: 37.28 / Avg: 37.37 / Max: 37.52Min: 34.99 / Avg: 35.18 / Max: 35.55

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X48121620SE +/- 0.134, N = 3SE +/- 0.019, N = 3SE +/- 0.124, N = 3SE +/- 0.150, N = 3SE +/- 0.092, N = 3SE +/- 0.050, N = 3SE +/- 0.090, N = 3SE +/- 0.109, N = 3SE +/- 0.041, N = 3SE +/- 0.051, N = 3SE +/- 0.024, N = 314.1298.09917.54815.75313.9829.6258.6138.1877.2767.4956.764
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X48121620Min: 13.96 / Avg: 14.13 / Max: 14.39Min: 8.07 / Avg: 8.1 / Max: 8.14Min: 17.39 / Avg: 17.55 / Max: 17.79Min: 15.5 / Avg: 15.75 / Max: 16.02Min: 13.83 / Avg: 13.98 / Max: 14.15Min: 9.55 / Avg: 9.63 / Max: 9.72Min: 8.45 / Avg: 8.61 / Max: 8.77Min: 7.98 / Avg: 8.19 / Max: 8.36Min: 7.23 / Avg: 7.28 / Max: 7.36Min: 7.41 / Avg: 7.5 / Max: 7.58Min: 6.72 / Avg: 6.76 / Max: 6.8

Detector: Windowed Gaussian

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

LibRaw

LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X1530456075SE +/- 0.23, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.18, N = 3SE +/- 0.07, N = 3SE +/- 0.20, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.23, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 3SE +/- 0.14, N = 3SE +/- 0.11, N = 336.9441.5026.2828.6839.0241.7643.1943.5944.5753.4254.9968.1065.671. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X1326395265Min: 36.49 / Avg: 36.94 / Max: 37.28Min: 41.37 / Avg: 41.5 / Max: 41.68Min: 26.16 / Avg: 26.28 / Max: 26.36Min: 28.35 / Avg: 28.68 / Max: 28.97Min: 38.94 / Avg: 39.02 / Max: 39.16Min: 41.37 / Avg: 41.76 / Max: 42.06Min: 43.05 / Avg: 43.19 / Max: 43.33Min: 43.53 / Avg: 43.59 / Max: 43.67Min: 44.22 / Avg: 44.57 / Max: 45.01Min: 53.34 / Avg: 53.42 / Max: 53.5Min: 54.68 / Avg: 54.99 / Max: 55.26Min: 67.85 / Avg: 68.1 / Max: 68.35Min: 65.54 / Avg: 65.67 / Max: 65.881. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

Perl Benchmarks

Perl benchmark suite that can be used to compare the relative speed of different versions of perl. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X0.0360.0720.1080.1440.18SE +/- 0.00016538, N = 3SE +/- 0.00032095, N = 3SE +/- 0.00040584, N = 3SE +/- 0.00034204, N = 3SE +/- 0.00138595, N = 3SE +/- 0.00131011, N = 15SE +/- 0.00086563, N = 3SE +/- 0.00093524, N = 3SE +/- 0.00118276, N = 3SE +/- 0.00117965, N = 15SE +/- 0.00107634, N = 3SE +/- 0.00017919, N = 30.100639760.097657810.159787460.148295770.116432470.110188770.110959950.113382120.110595130.085733400.086593970.06210375
OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X12345Min: 0.1 / Avg: 0.1 / Max: 0.1Min: 0.1 / Avg: 0.1 / Max: 0.1Min: 0.16 / Avg: 0.16 / Max: 0.16Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.11 / Avg: 0.12 / Max: 0.12Min: 0.1 / Avg: 0.11 / Max: 0.12Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.08 / Avg: 0.09 / Max: 0.09Min: 0.08 / Avg: 0.09 / Max: 0.09Min: 0.06 / Avg: 0.06 / Max: 0.06

OCRMyPDF

OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X918273645SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 329.5019.8440.0836.4930.1524.0321.0320.5618.7317.1915.58
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X816243240Min: 29.44 / Avg: 29.5 / Max: 29.57Min: 19.63 / Avg: 19.84 / Max: 20.06Min: 39.97 / Avg: 40.08 / Max: 40.23Min: 36.42 / Avg: 36.48 / Max: 36.56Min: 30.03 / Avg: 30.15 / Max: 30.22Min: 23.95 / Avg: 24.03 / Max: 24.09Min: 20.83 / Avg: 21.03 / Max: 21.15Min: 20.37 / Avg: 20.56 / Max: 20.9Min: 18.54 / Avg: 18.73 / Max: 19.08Min: 17 / Avg: 17.19 / Max: 17.3Min: 15.48 / Avg: 15.58 / Max: 15.69

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1020304050SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.40, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.01, N = 327.7925.0042.5139.3429.7928.0328.9028.6829.0821.8122.6316.69MIN: 27.7 / MAX: 29.86MIN: 24.78 / MAX: 25.84MIN: 38.92 / MAX: 51.84MIN: 36.42 / MAX: 50.8MIN: 29.39 / MAX: 54.87MIN: 27.86 / MAX: 28.69MIN: 28.52 / MAX: 83.18MIN: 28.4 / MAX: 37.04MIN: 28.81 / MAX: 29.7MIN: 21.37 / MAX: 22.7MIN: 22.14 / MAX: 23.14MIN: 15.87 / MAX: 17.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X918273645Min: 27.78 / Avg: 27.79 / Max: 27.81Min: 24.97 / Avg: 25 / Max: 25.03Min: 41.74 / Avg: 42.51 / Max: 43.09Min: 39.13 / Avg: 39.34 / Max: 39.44Min: 29.77 / Avg: 29.79 / Max: 29.81Min: 27.98 / Avg: 28.03 / Max: 28.07Min: 28.69 / Avg: 28.9 / Max: 29.05Min: 28.62 / Avg: 28.68 / Max: 28.77Min: 29.06 / Avg: 29.08 / Max: 29.12Min: 21.59 / Avg: 21.81 / Max: 21.98Min: 22.42 / Avg: 22.63 / Max: 22.9Min: 16.67 / Avg: 16.69 / Max: 16.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1122334455SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.23, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.20, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.38, N = 3SE +/- 0.22, N = 3SE +/- 0.16, N = 329.2024.2847.0443.7731.6028.4727.8227.6629.9124.2925.4818.59MIN: 28.94 / MAX: 30.06MIN: 23.97 / MAX: 25.62MIN: 46.55 / MAX: 79.05MIN: 43.19 / MAX: 66.44MIN: 31.38 / MAX: 32.98MIN: 28.22 / MAX: 30.66MIN: 27.35 / MAX: 28.71MIN: 27.41 / MAX: 33.56MIN: 29.44 / MAX: 31.38MIN: 23.69 / MAX: 27.95MIN: 24.9 / MAX: 41.04MIN: 17.22 / MAX: 221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1020304050Min: 29.17 / Avg: 29.2 / Max: 29.25Min: 24.22 / Avg: 24.28 / Max: 24.37Min: 46.81 / Avg: 47.04 / Max: 47.22Min: 43.35 / Avg: 43.77 / Max: 44.16Min: 31.5 / Avg: 31.6 / Max: 31.78Min: 28.31 / Avg: 28.47 / Max: 28.64Min: 27.54 / Avg: 27.82 / Max: 28.2Min: 27.61 / Avg: 27.66 / Max: 27.71Min: 29.71 / Avg: 29.91 / Max: 30.21Min: 23.79 / Avg: 24.29 / Max: 25.03Min: 25.19 / Avg: 25.48 / Max: 25.91Min: 18.4 / Avg: 18.59 / Max: 18.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9/WebM format using a sample 1080p video. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X48121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 37.888.085.435.897.698.087.737.807.839.519.5012.9413.711. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X48121620Min: 7.87 / Avg: 7.88 / Max: 7.9Min: 8.07 / Avg: 8.08 / Max: 8.09Min: 5.41 / Avg: 5.43 / Max: 5.44Min: 5.87 / Avg: 5.89 / Max: 5.92Min: 7.67 / Avg: 7.69 / Max: 7.72Min: 8.05 / Avg: 8.08 / Max: 8.1Min: 7.68 / Avg: 7.73 / Max: 7.77Min: 7.77 / Avg: 7.8 / Max: 7.82Min: 7.82 / Avg: 7.83 / Max: 7.84Min: 9.47 / Avg: 9.51 / Max: 9.59Min: 9.49 / Avg: 9.5 / Max: 9.51Min: 12.83 / Avg: 12.94 / Max: 13.05Min: 13.66 / Avg: 13.71 / Max: 13.741. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X12002400360048006000SE +/- 26.51, N = 4SE +/- 25.71, N = 4SE +/- 38.39, N = 4SE +/- 26.26, N = 4SE +/- 17.11, N = 4SE +/- 27.52, N = 4SE +/- 11.74, N = 4SE +/- 23.65, N = 4SE +/- 15.68, N = 4SE +/- 20.69, N = 4SE +/- 27.26, N = 4SE +/- 19.72, N = 20SE +/- 29.78, N = 43676331956265232421539653990396339463068306623762237
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X10002000300040005000Min: 3603 / Avg: 3675.75 / Max: 3724Min: 3263 / Avg: 3318.5 / Max: 3368Min: 5555 / Avg: 5625.5 / Max: 5729Min: 5172 / Avg: 5232.25 / Max: 5282Min: 4177 / Avg: 4214.5 / Max: 4254Min: 3925 / Avg: 3964.75 / Max: 4044Min: 3968 / Avg: 3990.25 / Max: 4012Min: 3900 / Avg: 3962.5 / Max: 4015Min: 3900 / Avg: 3946.25 / Max: 3969Min: 3011 / Avg: 3068.25 / Max: 3108Min: 3015 / Avg: 3066 / Max: 3143Min: 2295 / Avg: 2376.35 / Max: 2610Min: 2179 / Avg: 2236.75 / Max: 2309

Timed Apache Compilation

This test times how long it takes to build the Apache HTTPD web server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X714212835SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 321.4818.0431.4628.5322.7321.2020.9220.6720.2117.2917.1912.77
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X714212835Min: 21.33 / Avg: 21.48 / Max: 21.56Min: 17.94 / Avg: 18.04 / Max: 18.17Min: 31.36 / Avg: 31.46 / Max: 31.53Min: 28.47 / Avg: 28.53 / Max: 28.62Min: 22.65 / Avg: 22.72 / Max: 22.82Min: 21.12 / Avg: 21.2 / Max: 21.37Min: 20.88 / Avg: 20.92 / Max: 20.98Min: 20.53 / Avg: 20.67 / Max: 20.76Min: 20.09 / Avg: 20.21 / Max: 20.29Min: 17.25 / Avg: 17.29 / Max: 17.33Min: 17.13 / Avg: 17.19 / Max: 17.3Min: 12.61 / Avg: 12.77 / Max: 13.03

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: proteinCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X4812162012.3511.6415.6114.5112.1411.5412.2312.1212.039.289.226.576.34

G'MIC

G'MIC is an open-source framework for image processing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: Plotting Isosurface Of A 3D Volume, 1000 TimesCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X612182430SE +/- 0.091, N = 3SE +/- 0.161, N = 3SE +/- 0.027, N = 3SE +/- 0.089, N = 3SE +/- 0.102, N = 3SE +/- 0.165, N = 3SE +/- 0.025, N = 3SE +/- 0.261, N = 3SE +/- 0.177, N = 3SE +/- 0.149, N = 3SE +/- 0.144, N = 3SE +/- 0.008, N = 317.34816.04723.41521.76418.65817.76718.19618.27018.33315.96715.7449.6531. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: Plotting Isosurface Of A 3D Volume, 1000 TimesCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X510152025Min: 17.22 / Avg: 17.35 / Max: 17.52Min: 15.73 / Avg: 16.05 / Max: 16.21Min: 23.39 / Avg: 23.41 / Max: 23.47Min: 21.59 / Avg: 21.76 / Max: 21.87Min: 18.48 / Avg: 18.66 / Max: 18.83Min: 17.51 / Avg: 17.77 / Max: 18.08Min: 18.15 / Avg: 18.2 / Max: 18.23Min: 17.97 / Avg: 18.27 / Max: 18.79Min: 18.12 / Avg: 18.33 / Max: 18.69Min: 15.7 / Avg: 15.97 / Max: 16.22Min: 15.46 / Avg: 15.74 / Max: 15.92Min: 9.64 / Avg: 9.65 / Max: 9.671. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

Crafty

This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X3M6M9M12M15MSE +/- 7610.57, N = 3SE +/- 18480.02, N = 3SE +/- 19360.82, N = 3SE +/- 91197.02, N = 5SE +/- 45342.43, N = 3SE +/- 24969.38, N = 3SE +/- 33192.92, N = 3SE +/- 124855.19, N = 3SE +/- 28955.96, N = 3SE +/- 9488.88, N = 3SE +/- 46067.71, N = 3SE +/- 49432.24, N = 3SE +/- 54965.68, N = 39196154100874186718403722127989120188805287926807090715289195403114048381151956714943189157562861. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X3M6M9M12M15MMin: 9183542 / Avg: 9196153.67 / Max: 9209840Min: 10051593 / Avg: 10087418 / Max: 10113202Min: 6687747 / Avg: 6718402.67 / Max: 6754217Min: 6870615 / Avg: 7221279.4 / Max: 7396466Min: 8848984 / Avg: 8912018 / Max: 8999996Min: 8755388 / Avg: 8805287.33 / Max: 8831955Min: 9203245 / Avg: 9268070 / Max: 9312876Min: 8919264 / Avg: 9071528.33 / Max: 9319061Min: 9154967 / Avg: 9195402.67 / Max: 9251524Min: 11393789 / Avg: 11404838 / Max: 11423725Min: 11451403 / Avg: 11519567.33 / Max: 11607333Min: 14859248 / Avg: 14943189 / Max: 15030393Min: 15646804 / Avg: 15756285.67 / Max: 158196291. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X246810SE +/- 0.015, N = 3SE +/- 0.013, N = 3SE +/- 0.012, N = 3SE +/- 0.026, N = 3SE +/- 0.049, N = 3SE +/- 0.053, N = 3SE +/- 0.026, N = 8SE +/- 0.022, N = 3SE +/- 0.010, N = 3SE +/- 0.016, N = 15SE +/- 0.012, N = 33.4012.8236.6066.1293.9603.3753.9884.0225.7163.0583.849MIN: 3.33 / MAX: 5.99MIN: 2.75 / MAX: 4.11MIN: 6.48 / MAX: 21.66MIN: 6.04 / MAX: 8.3MIN: 3.84 / MAX: 5.18MIN: 3.24 / MAX: 13.21MIN: 3.78 / MAX: 15.56MIN: 3.91 / MAX: 6.2MIN: 5.49 / MAX: 6.8MIN: 2.86 / MAX: 15.6MIN: 3.7 / MAX: 14.251. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X3691215Min: 3.37 / Avg: 3.4 / Max: 3.42Min: 2.8 / Avg: 2.82 / Max: 2.84Min: 6.59 / Avg: 6.61 / Max: 6.63Min: 6.09 / Avg: 6.13 / Max: 6.18Min: 3.87 / Avg: 3.96 / Max: 4.03Min: 3.27 / Avg: 3.37 / Max: 3.43Min: 3.85 / Avg: 3.99 / Max: 4.11Min: 3.98 / Avg: 4.02 / Max: 4.05Min: 5.7 / Avg: 5.72 / Max: 5.73Min: 2.94 / Avg: 3.06 / Max: 3.19Min: 3.83 / Avg: 3.85 / Max: 3.871. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Model: MobileNetV2_224

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: mnn: line 3: ./benchmark.out: No such file or directory

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X3691215SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.36, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.13, N = 36.835.8911.7110.637.367.016.616.627.105.195.255.07MIN: 6.75 / MAX: 8.34MIN: 5.82 / MAX: 7.01MIN: 11.18 / MAX: 12.89MIN: 10.28 / MAX: 12.43MIN: 7.22 / MAX: 8.57MIN: 6.92 / MAX: 8.19MIN: 6.48 / MAX: 7.84MIN: 6.51 / MAX: 7.75MIN: 6.88 / MAX: 8.39MIN: 5.01 / MAX: 5.68MIN: 5.19 / MAX: 9.21MIN: 4.55 / MAX: 6.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X3691215Min: 6.78 / Avg: 6.83 / Max: 6.88Min: 5.86 / Avg: 5.89 / Max: 5.91Min: 11.23 / Avg: 11.71 / Max: 12.42Min: 10.35 / Avg: 10.63 / Max: 10.93Min: 7.29 / Avg: 7.36 / Max: 7.46Min: 6.99 / Avg: 7.01 / Max: 7.03Min: 6.53 / Avg: 6.61 / Max: 6.67Min: 6.58 / Avg: 6.62 / Max: 6.67Min: 6.97 / Avg: 7.1 / Max: 7.31Min: 5.05 / Avg: 5.19 / Max: 5.35Min: 5.24 / Avg: 5.25 / Max: 5.26Min: 4.87 / Avg: 5.07 / Max: 5.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X1326395265SE +/- 0.02, N = 3SE +/- 0.26, N = 3SE +/- 0.25, N = 3SE +/- 0.13, N = 3SE +/- 0.17, N = 3SE +/- 0.16, N = 3SE +/- 0.17, N = 8SE +/- 0.20, N = 3SE +/- 0.15, N = 3SE +/- 0.16, N = 15SE +/- 0.07, N = 332.4825.3158.1552.9730.2629.5333.0733.4742.1327.0628.38MIN: 32.23 / MAX: 45.55MIN: 24.65 / MAX: 37.66MIN: 56.86 / MAX: 79.06MIN: 51.97 / MAX: 66.22MIN: 29.77 / MAX: 40.96MIN: 29.08 / MAX: 40.82MIN: 31.66 / MAX: 46.35MIN: 32.67 / MAX: 45.9MIN: 39.26 / MAX: 53.15MIN: 26.09 / MAX: 38.76MIN: 27.72 / MAX: 40.811. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X1122334455Min: 32.44 / Avg: 32.48 / Max: 32.52Min: 24.8 / Avg: 25.31 / Max: 25.6Min: 57.82 / Avg: 58.15 / Max: 58.64Min: 52.71 / Avg: 52.97 / Max: 53.16Min: 29.92 / Avg: 30.26 / Max: 30.43Min: 29.24 / Avg: 29.53 / Max: 29.78Min: 32.15 / Avg: 33.07 / Max: 33.95Min: 33.22 / Avg: 33.47 / Max: 33.86Min: 41.88 / Avg: 42.13 / Max: 42.41Min: 26.31 / Avg: 27.06 / Max: 28.07Min: 28.3 / Avg: 28.38 / Max: 28.511. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Model: resnet-v2-50

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: mnn: line 3: ./benchmark.out: No such file or directory

Radiance Benchmark

This is a benchmark of NREL Radiance, a synthetic imaging system that is open-source and developed by the Lawrence Berkeley National Laboratory in California. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRadiance Benchmark 5.0Test: SerialCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X2004006008001000611.64588.16788.88737.38549.02529.70546.89526.46522.74430.24426.53345.47

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X4080120160200SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.12, N = 3140.0134.0204.0189.0158.0150.0158.0153.0153.0123.0123.089.4
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X4080120160200Min: 157 / Avg: 157.67 / Max: 158Min: 149 / Avg: 150 / Max: 151Min: 153 / Avg: 153.33 / Max: 154Min: 123 / Avg: 123.33 / Max: 124Min: 89.2 / Avg: 89.4 / Max: 89.6

Radiance Benchmark

This is a benchmark of NREL Radiance, a synthetic imaging system that is open-source and developed by the Lawrence Berkeley National Laboratory in California. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRadiance Benchmark 5.0Test: SMP ParallelCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X50100150200250192.56183.25243.89233.40172.48167.36171.79170.08169.17134.28135.23107.18

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNACore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X3691215SE +/- 0.020, N = 3SE +/- 0.081, N = 3SE +/- 0.042, N = 3SE +/- 0.030, N = 3SE +/- 0.050, N = 3SE +/- 0.029, N = 3SE +/- 0.017, N = 3SE +/- 0.048, N = 3SE +/- 0.041, N = 3SE +/- 0.029, N = 3SE +/- 0.044, N = 3SE +/- 0.013, N = 3SE +/- 0.030, N = 38.7508.70213.23912.58611.42411.0188.9078.9738.5917.3657.3506.0925.8381. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNACore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X48121620Min: 8.73 / Avg: 8.75 / Max: 8.79Min: 8.58 / Avg: 8.7 / Max: 8.86Min: 13.18 / Avg: 13.24 / Max: 13.32Min: 12.55 / Avg: 12.59 / Max: 12.65Min: 11.36 / Avg: 11.42 / Max: 11.52Min: 10.96 / Avg: 11.02 / Max: 11.06Min: 8.88 / Avg: 8.91 / Max: 8.94Min: 8.91 / Avg: 8.97 / Max: 9.07Min: 8.52 / Avg: 8.59 / Max: 8.66Min: 7.33 / Avg: 7.36 / Max: 7.42Min: 7.26 / Avg: 7.35 / Max: 7.41Min: 6.08 / Avg: 6.09 / Max: 6.12Min: 5.81 / Avg: 5.84 / Max: 5.91. (CC) gcc options: -std=c99 -O3 -lm -lpthread

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X14002800420056007000SE +/- 25.86, N = 3SE +/- 28.48, N = 4SE +/- 76.42, N = 4SE +/- 86.81, N = 3SE +/- 23.88, N = 3SE +/- 18.51, N = 4SE +/- 43.45, N = 4SE +/- 22.93, N = 4SE +/- 20.13, N = 4SE +/- 36.22, N = 439772884635759784395366333893348346028362925
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X11002200330044005500Min: 3926 / Avg: 3976.67 / Max: 4011Min: 2845 / Avg: 2883.75 / Max: 2967Min: 6183 / Avg: 6357 / Max: 6508Min: 5845 / Avg: 5977.67 / Max: 6141Min: 4347 / Avg: 4394.67 / Max: 4421Min: 3363 / Avg: 3388.5 / Max: 3443Min: 3264 / Avg: 3348.25 / Max: 3463Min: 3402 / Avg: 3459.75 / Max: 3500Min: 2806 / Avg: 2835.5 / Max: 2895Min: 2836 / Avg: 2924.5 / Max: 3001

Java Test: Tradesoap

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: Caused by: java.lang.NoClassDefFoundError: Could not initialize class org.apache.geronimo.system.configuration.AttributesXmlUtil

Ryzen 9 7900X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: Caused by: java.lang.NoClassDefFoundError: Could not initialize class org.apache.geronimo.system.configuration.AttributesXmlUtil

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X140280420560700SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 1.20, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3373353627582427406428413417344344281
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X110220330440550Min: 352 / Avg: 352.67 / Max: 353Min: 625 / Avg: 626.67 / Max: 628Min: 580 / Avg: 581.67 / Max: 584Min: 405 / Avg: 405.67 / Max: 407Min: 412 / Avg: 413.33 / Max: 414Min: 343 / Avg: 343.67 / Max: 344Min: 280 / Avg: 281 / Max: 282

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X1122334455SE +/- 0.64, N = 3SE +/- 0.34, N = 15SE +/- 0.12, N = 3SE +/- 0.19, N = 3SE +/- 0.18, N = 3SE +/- 0.15, N = 3SE +/- 0.21, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 344.9433.1449.3744.8136.3432.7228.1326.8625.6622.7722.20
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X1020304050Min: 43.66 / Avg: 44.94 / Max: 45.59Min: 31.23 / Avg: 33.14 / Max: 35.04Min: 49.15 / Avg: 49.37 / Max: 49.54Min: 44.5 / Avg: 44.81 / Max: 45.15Min: 36 / Avg: 36.34 / Max: 36.59Min: 32.43 / Avg: 32.72 / Max: 32.9Min: 27.86 / Avg: 28.13 / Max: 28.54Min: 26.67 / Avg: 26.85 / Max: 26.95Min: 25.43 / Avg: 25.66 / Max: 25.8Min: 22.65 / Avg: 22.77 / Max: 22.9Min: 22.07 / Avg: 22.2 / Max: 22.29

Detector: Bayesian Changepoint

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X60120180240300SE +/- 1.09, N = 3SE +/- 2.90, N = 3SE +/- 0.93, N = 3SE +/- 0.24, N = 3SE +/- 1.74, N = 3SE +/- 1.15, N = 3SE +/- 1.09, N = 3SE +/- 1.11, N = 3SE +/- 0.54, N = 3SE +/- 1.11, N = 3SE +/- 0.35, N = 3SE +/- 0.18, N = 3SE +/- 1.04, N = 3174.72176.74281.74264.87197.37183.72196.12194.85195.78155.88149.62127.91131.98
OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X50100150200250Min: 172.88 / Avg: 174.72 / Max: 176.64Min: 172.51 / Avg: 176.74 / Max: 182.29Min: 280.53 / Avg: 281.74 / Max: 283.56Min: 264.42 / Avg: 264.86 / Max: 265.26Min: 194.04 / Avg: 197.37 / Max: 199.92Min: 181.55 / Avg: 183.72 / Max: 185.47Min: 194.06 / Avg: 196.12 / Max: 197.76Min: 192.95 / Avg: 194.85 / Max: 196.79Min: 194.74 / Avg: 195.78 / Max: 196.56Min: 154.54 / Avg: 155.88 / Max: 158.09Min: 148.93 / Avg: 149.62 / Max: 150.04Min: 127.6 / Avg: 127.91 / Max: 128.21Min: 130.91 / Avg: 131.98 / Max: 134.07

RawTherapee

RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X20406080100SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 360.9353.6774.6568.6163.4157.8454.3453.5152.3945.8546.3434.181. RawTherapee, version 5.8, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1428425670Min: 60.92 / Avg: 60.93 / Max: 60.94Min: 53.66 / Avg: 53.67 / Max: 53.69Min: 74.61 / Avg: 74.65 / Max: 74.72Min: 68.55 / Avg: 68.61 / Max: 68.64Min: 63.35 / Avg: 63.41 / Max: 63.49Min: 57.74 / Avg: 57.84 / Max: 57.91Min: 54.27 / Avg: 54.34 / Max: 54.39Min: 53.41 / Avg: 53.51 / Max: 53.58Min: 52.36 / Avg: 52.39 / Max: 52.45Min: 45.83 / Avg: 45.85 / Max: 45.89Min: 46.14 / Avg: 46.34 / Max: 46.46Min: 34.04 / Avg: 34.18 / Max: 34.31. RawTherapee, version 5.8, command line.

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: airCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X0.450.91.351.82.252.001.991.821.701.631.551.601.571.591.361.360.960.92

Timed MrBayes Analysis

This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X20406080100SE +/- 0.14, N = 3SE +/- 0.12, N = 3SE +/- 0.69, N = 3SE +/- 0.47, N = 3SE +/- 0.24, N = 3SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.39, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.40, N = 3SE +/- 0.51, N = 368.8363.6397.1387.2769.2566.9172.7469.9470.2456.9961.5853.3544.95-mmpx-mmpx-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha-msse4a -msha -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi-msse4a -msha -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X20406080100Min: 68.61 / Avg: 68.83 / Max: 69.08Min: 63.49 / Avg: 63.63 / Max: 63.87Min: 96.37 / Avg: 97.13 / Max: 98.5Min: 86.77 / Avg: 87.27 / Max: 88.2Min: 68.8 / Avg: 69.25 / Max: 69.59Min: 66.63 / Avg: 66.91 / Max: 67.18Min: 72.65 / Avg: 72.74 / Max: 72.81Min: 69.86 / Avg: 69.94 / Max: 70.09Min: 69.81 / Avg: 70.24 / Max: 71.02Min: 56.72 / Avg: 56.99 / Max: 57.21Min: 61.54 / Avg: 61.58 / Max: 61.64Min: 52.6 / Avg: 53.35 / Max: 53.97Min: 44.16 / Avg: 44.95 / Max: 45.911. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm

C-Blosc

A simple, compressed, fast and persistent data store library for C. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X4K8K12K16K20KSE +/- 9.56, N = 3SE +/- 18.50, N = 3SE +/- 7.55, N = 3SE +/- 27.57, N = 3SE +/- 13.28, N = 3SE +/- 21.12, N = 3SE +/- 27.76, N = 3SE +/- 32.32, N = 3SE +/- 23.94, N = 3SE +/- 62.90, N = 3SE +/- 40.83, N = 3SE +/- 89.85, N = 3SE +/- 31.10, N = 310868.210815.89570.99986.411552.011505.511595.211473.911474.914645.414032.519397.020501.01. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X4K8K12K16K20KMin: 10853.8 / Avg: 10868.2 / Max: 10886.3Min: 10795.8 / Avg: 10815.83 / Max: 10852.8Min: 9556.5 / Avg: 9570.93 / Max: 9582Min: 9931.8 / Avg: 9986.37 / Max: 10020.5Min: 11538.4 / Avg: 11552.03 / Max: 11578.6Min: 11477.5 / Avg: 11505.5 / Max: 11546.9Min: 11544.4 / Avg: 11595.17 / Max: 11640Min: 11437.6 / Avg: 11473.93 / Max: 11538.4Min: 11438.6 / Avg: 11474.93 / Max: 11520.1Min: 14528.5 / Avg: 14645.43 / Max: 14744.1Min: 13957.4 / Avg: 14032.5 / Max: 14097.8Min: 19225.6 / Avg: 19397.03 / Max: 19529.4Min: 20456.8 / Avg: 20501 / Max: 205611. (CXX) g++ options: -rdynamic

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.22, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 1.62, N = 35.335.068.848.055.645.555.405.395.824.144.375.67MIN: 5.16 / MAX: 6.82MIN: 4.97 / MAX: 6.13MIN: 8.31 / MAX: 46.7MIN: 7.71 / MAX: 22.06MIN: 5.52 / MAX: 7.35MIN: 5.45 / MAX: 10.07MIN: 5.25 / MAX: 6.16MIN: 5.23 / MAX: 6.48MIN: 5.69 / MAX: 6.18MIN: 4.08 / MAX: 5.04MIN: 4.29 / MAX: 5.32MIN: 3.75 / MAX: 14.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X3691215Min: 5.32 / Avg: 5.33 / Max: 5.34Min: 5.05 / Avg: 5.06 / Max: 5.07Min: 8.52 / Avg: 8.84 / Max: 9.25Min: 7.92 / Avg: 8.05 / Max: 8.19Min: 5.61 / Avg: 5.64 / Max: 5.66Min: 5.54 / Avg: 5.55 / Max: 5.56Min: 5.33 / Avg: 5.4 / Max: 5.47Min: 5.34 / Avg: 5.39 / Max: 5.45Min: 5.8 / Avg: 5.82 / Max: 5.84Min: 4.12 / Avg: 4.14 / Max: 4.16Min: 4.36 / Avg: 4.37 / Max: 4.37Min: 4.04 / Avg: 5.67 / Max: 8.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1632486480SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.14, N = 3SE +/- 0.28, N = 3SE +/- 0.26, N = 3SE +/- 0.68, N = 3SE +/- 0.09, N = 3SE +/- 0.47, N = 3SE +/- 0.34, N = 3SE +/- 0.71, N = 3SE +/- 0.18, N = 3SE +/- 0.03, N = 349.0546.5673.9369.1157.3053.9855.7856.7755.0741.5442.6834.67-ldl -lpthread-ldl -lpthread-ldl -lpthread-ldl -lpthread-ldl -lpthread-ldl -lpthread-ldl -lpthread-ldl -lpthread-ldl -lpthread-ldl -lpthread-ldl -lpthread1. (CC) gcc options: -O2 -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1428425670Min: 48.93 / Avg: 49.05 / Max: 49.22Min: 46.49 / Avg: 46.56 / Max: 46.69Min: 73.7 / Avg: 73.93 / Max: 74.18Min: 68.64 / Avg: 69.11 / Max: 69.61Min: 56.81 / Avg: 57.3 / Max: 57.66Min: 52.74 / Avg: 53.98 / Max: 55.11Min: 55.6 / Avg: 55.78 / Max: 55.9Min: 55.86 / Avg: 56.77 / Max: 57.39Min: 54.43 / Avg: 55.07 / Max: 55.57Min: 40.83 / Avg: 41.54 / Max: 42.95Min: 42.34 / Avg: 42.68 / Max: 42.96Min: 34.64 / Avg: 34.67 / Max: 34.721. (CC) gcc options: -O2 -lz

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X3691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 36.936.7410.308.717.537.198.128.018.106.386.424.83
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X3691215Min: 6.93 / Avg: 6.93 / Max: 6.94Min: 6.73 / Avg: 6.74 / Max: 6.75Min: 10.2 / Avg: 10.27 / Max: 10.3Min: 8.69 / Avg: 8.71 / Max: 8.74Min: 7.52 / Avg: 7.53 / Max: 7.54Min: 7.1 / Avg: 7.19 / Max: 7.25Min: 8.1 / Avg: 8.12 / Max: 8.15Min: 7.97 / Avg: 8.01 / Max: 8.07Min: 8.09 / Avg: 8.1 / Max: 8.12Min: 6.37 / Avg: 6.38 / Max: 6.39Min: 6.38 / Avg: 6.42 / Max: 6.47Min: 4.82 / Avg: 4.83 / Max: 4.83

SciMark

This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: CompositeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X2004006008001000SE +/- 0.30, N = 3SE +/- 7.35, N = 3SE +/- 2.37, N = 3SE +/- 0.98, N = 3SE +/- 3.31, N = 3SE +/- 7.80, N = 3SE +/- 11.67, N = 3SE +/- 10.13, N = 3SE +/- 6.32, N = 3SE +/- 1.55, N = 3SE +/- 3.00, N = 3SE +/- 8.09, N = 3SE +/- 18.95, N = 3741.22829.30494.99528.11716.75732.75717.42743.57751.35871.93885.601017.591052.481. (CC) gcc options: -lm
OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: CompositeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X2004006008001000Min: 740.69 / Avg: 741.22 / Max: 741.73Min: 814.6 / Avg: 829.3 / Max: 836.98Min: 490.26 / Avg: 494.99 / Max: 497.62Min: 526.76 / Avg: 528.11 / Max: 530.01Min: 713.06 / Avg: 716.75 / Max: 723.36Min: 721.55 / Avg: 732.75 / Max: 747.76Min: 694.09 / Avg: 717.42 / Max: 729.65Min: 724.18 / Avg: 743.57 / Max: 758.36Min: 742.02 / Avg: 751.35 / Max: 763.4Min: 868.85 / Avg: 871.93 / Max: 873.75Min: 880.45 / Avg: 885.6 / Max: 890.83Min: 1002.96 / Avg: 1017.59 / Max: 1030.87Min: 1019.59 / Avg: 1052.48 / Max: 1085.231. (CC) gcc options: -lm

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X3691215SE +/- 0.089, N = 3SE +/- 0.094, N = 3SE +/- 0.126, N = 3SE +/- 0.066, N = 3SE +/- 0.080, N = 3SE +/- 0.041, N = 3SE +/- 0.049, N = 3SE +/- 0.092, N = 3SE +/- 0.083, N = 3SE +/- 0.098, N = 3SE +/- 0.062, N = 3SE +/- 0.045, N = 37.6817.4619.6238.7378.0267.7578.0577.9438.0746.7476.8424.630
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X3691215Min: 7.59 / Avg: 7.68 / Max: 7.86Min: 7.27 / Avg: 7.46 / Max: 7.56Min: 9.49 / Avg: 9.62 / Max: 9.87Min: 8.66 / Avg: 8.74 / Max: 8.87Min: 7.93 / Avg: 8.03 / Max: 8.19Min: 7.69 / Avg: 7.76 / Max: 7.83Min: 8.01 / Avg: 8.06 / Max: 8.16Min: 7.85 / Avg: 7.94 / Max: 8.13Min: 7.99 / Avg: 8.07 / Max: 8.24Min: 6.62 / Avg: 6.75 / Max: 6.94Min: 6.77 / Avg: 6.84 / Max: 6.97Min: 4.58 / Avg: 4.63 / Max: 4.72

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X612182430SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.43, N = 3SE +/- 0.17, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 2SE +/- 0.06, N = 3SE +/- 0.12, N = 314.9213.2823.0921.2117.0316.0517.3817.3119.2412.6813.4311.13MIN: 14.77 / MAX: 16.85MIN: 12.98 / MAX: 14.24MIN: 22.46 / MAX: 50.46MIN: 20.85 / MAX: 39.97MIN: 16.81 / MAX: 18.21MIN: 15.94 / MAX: 25.37MIN: 16.96 / MAX: 17.94MIN: 16.92 / MAX: 19.54MIN: 18.5 / MAX: 19.94MIN: 12.51 / MAX: 13.3MIN: 13.03 / MAX: 14.09MIN: 10.13 / MAX: 14.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X510152025Min: 14.84 / Avg: 14.92 / Max: 15Min: 13.25 / Avg: 13.28 / Max: 13.3Min: 22.53 / Avg: 23.09 / Max: 23.94Min: 21.03 / Avg: 21.21 / Max: 21.55Min: 16.91 / Avg: 17.03 / Max: 17.17Min: 16.03 / Avg: 16.05 / Max: 16.08Min: 17.37 / Avg: 17.38 / Max: 17.38Min: 17.3 / Avg: 17.31 / Max: 17.31Min: 19.12 / Avg: 19.24 / Max: 19.4Min: 12.65 / Avg: 12.68 / Max: 12.7Min: 13.35 / Avg: 13.43 / Max: 13.54Min: 10.91 / Avg: 11.13 / Max: 11.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

BYTE Unix Benchmark

This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X16M32M48M64M80MSE +/- 24227.92, N = 3SE +/- 574257.00, N = 3SE +/- 223179.51, N = 3SE +/- 314239.01, N = 3SE +/- 415561.11, N = 3SE +/- 523372.80, N = 3SE +/- 438932.99, N = 3SE +/- 566907.60, N = 3SE +/- 529964.65, N = 5SE +/- 501860.59, N = 3SE +/- 250264.91, N = 3SE +/- 154749.82, N = 3SE +/- 209804.87, N = 347964784.252005432.937514301.840472566.043647479.344883700.944081890.744714220.644123395.755937330.156105538.173229044.976891483.3
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X13M26M39M52M65MMin: 47916491.8 / Avg: 47964784.2 / Max: 47992374.1Min: 50859809 / Avg: 52005432.93 / Max: 52648762Min: 37068588.7 / Avg: 37514301.77 / Max: 37757947.1Min: 39897965.8 / Avg: 40472566 / Max: 40980352.9Min: 42865302.1 / Avg: 43647479.3 / Max: 44281924.1Min: 43837468.3 / Avg: 44883700.87 / Max: 45435195.6Min: 43608204.8 / Avg: 44081890.67 / Max: 44958813.9Min: 43940296.2 / Avg: 44714220.57 / Max: 45818771.4Min: 42120927.5 / Avg: 44123395.74 / Max: 45192923Min: 55169822.1 / Avg: 55937330.1 / Max: 56881254.4Min: 55607205 / Avg: 56105538.1 / Max: 56395271.5Min: 72920108.4 / Avg: 73229044.93 / Max: 73399674.4Min: 76592030.3 / Avg: 76891483.33 / Max: 77295768.6

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X1224364860SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.20, N = 3SE +/- 0.21, N = 3SE +/- 0.49, N = 3SE +/- 0.59, N = 345.8149.0425.9929.8138.2038.5938.0338.3238.9053.1952.941. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X1122334455Min: 45.73 / Avg: 45.81 / Max: 45.91Min: 48.9 / Avg: 49.04 / Max: 49.25Min: 25.7 / Avg: 25.99 / Max: 26.27Min: 29.65 / Avg: 29.81 / Max: 29.93Min: 37.9 / Avg: 38.2 / Max: 38.37Min: 38.43 / Avg: 38.59 / Max: 38.72Min: 37.78 / Avg: 38.03 / Max: 38.24Min: 38.1 / Avg: 38.32 / Max: 38.71Min: 38.51 / Avg: 38.9 / Max: 39.24Min: 52.23 / Avg: 53.19 / Max: 53.81Min: 51.92 / Avg: 52.94 / Max: 53.971. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Encoder Mode: Speed 8 Realtime

Ryzen 9 7950X: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Ryzen 9 7900X: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X0.38880.77761.16641.55521.944SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.005, N = 3SE +/- 0.005, N = 3SE +/- 0.007, N = 3SE +/- 0.011, N = 3SE +/- 0.002, N = 3SE +/- 0.005, N = 3SE +/- 0.002, N = 3SE +/- 0.009, N = 3SE +/- 0.002, N = 3SE +/- 0.008, N = 31.3741.2941.7281.6151.4341.3671.4141.3651.3691.1531.1450.8950.846-pthread-pthread-pthread-pthread-pthread-pthread-pthread-pthread-pthread-pthread-pthread1. (CC) gcc options: -fvisibility=hidden -O2 -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X246810Min: 1.37 / Avg: 1.37 / Max: 1.38Min: 1.29 / Avg: 1.29 / Max: 1.3Min: 1.73 / Avg: 1.73 / Max: 1.73Min: 1.61 / Avg: 1.62 / Max: 1.62Min: 1.42 / Avg: 1.43 / Max: 1.44Min: 1.36 / Avg: 1.37 / Max: 1.38Min: 1.39 / Avg: 1.41 / Max: 1.43Min: 1.36 / Avg: 1.37 / Max: 1.37Min: 1.36 / Avg: 1.37 / Max: 1.38Min: 1.15 / Avg: 1.15 / Max: 1.16Min: 1.13 / Avg: 1.15 / Max: 1.15Min: 0.89 / Avg: 0.9 / Max: 0.9Min: 0.83 / Avg: 0.85 / Max: 0.861. (CC) gcc options: -fvisibility=hidden -O2 -lm -ljpeg -lpng16 -ltiff

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1428425670SE +/- 0.14, N = 3SE +/- 0.38, N = 3SE +/- 0.33, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 3SE +/- 0.11, N = 3SE +/- 0.19, N = 3SE +/- 0.64, N = 3SE +/- 0.38, N = 3SE +/- 0.23, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 352.4143.3062.7357.8151.3545.8344.3543.5542.2637.4036.7831.011. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1224364860Min: 52.22 / Avg: 52.41 / Max: 52.68Min: 42.78 / Avg: 43.3 / Max: 44.04Min: 62.29 / Avg: 62.73 / Max: 63.38Min: 57.75 / Avg: 57.81 / Max: 57.9Min: 51.1 / Avg: 51.35 / Max: 51.61Min: 45.61 / Avg: 45.83 / Max: 45.94Min: 44.03 / Avg: 44.35 / Max: 44.7Min: 42.61 / Avg: 43.55 / Max: 44.79Min: 41.53 / Avg: 42.25 / Max: 42.77Min: 37.1 / Avg: 37.39 / Max: 37.84Min: 36.68 / Avg: 36.78 / Max: 36.95Min: 30.87 / Avg: 31.01 / Max: 31.091. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Fhourstones

This integer benchmark solves positions in the game of Connect-4, as played on a vertical 7x6 board. By default, it uses a 64Mb transposition table with the twobig replacement strategy. Positions are represented as 64-bit bitboards, and the hash function is computed using a single 64-bit modulo operation, giving 64-bit machines a slight edge. The alpha-beta searcher sorts moves dynamically based on the history heuristic. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgKpos / sec, More Is BetterFhourstones 3.1Complex Connect-4 SolvingCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X5K10K15K20K25KSE +/- 15.81, N = 3SE +/- 15.99, N = 3SE +/- 45.17, N = 3SE +/- 63.16, N = 3SE +/- 25.69, N = 3SE +/- 32.40, N = 3SE +/- 104.27, N = 3SE +/- 155.45, N = 8SE +/- 67.33, N = 3SE +/- 46.12, N = 3SE +/- 274.41, N = 3SE +/- 16.41, N = 3SE +/- 303.79, N = 315846.117624.811869.613100.015263.716160.115451.015572.815875.820018.520223.021178.023917.11. (CC) gcc options: -O3
OpenBenchmarking.orgKpos / sec, More Is BetterFhourstones 3.1Complex Connect-4 SolvingCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X4K8K12K16K20KMin: 15827.7 / Avg: 15846.13 / Max: 15877.6Min: 17596.3 / Avg: 17624.8 / Max: 17651.6Min: 11781.6 / Avg: 11869.63 / Max: 11931.2Min: 12978.8 / Avg: 13099.97 / Max: 13191.5Min: 15212.4 / Avg: 15263.73 / Max: 15291.3Min: 16095.3 / Avg: 16160.1 / Max: 16193.3Min: 15250 / Avg: 15450.97 / Max: 15599.7Min: 14980.9 / Avg: 15572.84 / Max: 16163.9Min: 15808.1 / Avg: 15875.83 / Max: 16010.5Min: 19941.9 / Avg: 20018.53 / Max: 20101.3Min: 19921 / Avg: 20223.03 / Max: 20770.9Min: 21160.1 / Avg: 21178.03 / Max: 21210.8Min: 23588.1 / Avg: 23917.13 / Max: 245241. (CC) gcc options: -O3

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X3691215SE +/- 0.002, N = 3SE +/- 0.033, N = 3SE +/- 0.028, N = 3SE +/- 0.034, N = 3SE +/- 0.015, N = 3SE +/- 0.025, N = 3SE +/- 0.105, N = 3SE +/- 0.081, N = 3SE +/- 0.003, N = 3SE +/- 0.008, N = 3SE +/- 0.009, N = 3SE +/- 0.175, N = 157.5956.3719.7038.9547.6206.7976.7156.7606.3655.4265.2524.8291. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X3691215Min: 7.59 / Avg: 7.59 / Max: 7.6Min: 6.33 / Avg: 6.37 / Max: 6.44Min: 9.66 / Avg: 9.7 / Max: 9.76Min: 8.89 / Avg: 8.95 / Max: 9.01Min: 7.59 / Avg: 7.62 / Max: 7.65Min: 6.75 / Avg: 6.8 / Max: 6.83Min: 6.59 / Avg: 6.71 / Max: 6.92Min: 6.6 / Avg: 6.76 / Max: 6.86Min: 6.36 / Avg: 6.37 / Max: 6.37Min: 5.42 / Avg: 5.43 / Max: 5.44Min: 5.24 / Avg: 5.25 / Max: 5.27Min: 4.4 / Avg: 4.83 / Max: 6.761. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

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.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X714212835SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.26, N = 36.8711.102.683.126.367.6511.0410.4612.8911.9113.7428.3126.29
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X612182430Min: 6.84 / Avg: 6.87 / Max: 6.92Min: 11.09 / Avg: 11.1 / Max: 11.1Min: 2.68 / Avg: 2.68 / Max: 2.68Min: 3.1 / Avg: 3.12 / Max: 3.15Min: 6.36 / Avg: 6.36 / Max: 6.37Min: 7.64 / Avg: 7.65 / Max: 7.65Min: 11.01 / Avg: 11.04 / Max: 11.07Min: 10.4 / Avg: 10.46 / Max: 10.51Min: 12.85 / Avg: 12.89 / Max: 12.91Min: 11.84 / Avg: 11.91 / Max: 11.96Min: 13.73 / Avg: 13.74 / Max: 13.74Min: 28.18 / Avg: 28.31 / Max: 28.43Min: 25.78 / Avg: 26.29 / Max: 26.6

ACES DGEMM

This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X3691215SE +/- 0.010830, N = 3SE +/- 0.042599, N = 3SE +/- 0.005947, N = 3SE +/- 0.012114, N = 4SE +/- 0.031404, N = 3SE +/- 0.031737, N = 8SE +/- 0.046914, N = 7SE +/- 0.056961, N = 3SE +/- 0.064485, N = 15SE +/- 0.081541, N = 3SE +/- 0.129211, N = 3SE +/- 0.115096, N = 13SE +/- 0.079309, N = 32.7408915.3032400.9337030.9806012.2852113.0046234.1679654.2365345.4767337.4312499.0653969.3892678.8991571. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X3691215Min: 2.72 / Avg: 2.74 / Max: 2.75Min: 5.22 / Avg: 5.3 / Max: 5.35Min: 0.93 / Avg: 0.93 / Max: 0.95Min: 0.95 / Avg: 0.98 / Max: 1Min: 2.22 / Avg: 2.29 / Max: 2.33Min: 2.89 / Avg: 3 / Max: 3.13Min: 4.01 / Avg: 4.17 / Max: 4.36Min: 4.13 / Avg: 4.24 / Max: 4.31Min: 5.09 / Avg: 5.48 / Max: 5.89Min: 7.27 / Avg: 7.43 / Max: 7.52Min: 8.81 / Avg: 9.07 / Max: 9.2Min: 8.13 / Avg: 9.39 / Max: 9.75Min: 8.75 / Avg: 8.9 / Max: 9.021. (CC) gcc options: -O3 -march=native -fopenmp

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X0.76051.5212.28153.0423.8025SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 32.612.921.701.852.562.712.682.712.723.363.381. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X246810Min: 2.6 / Avg: 2.61 / Max: 2.61Min: 2.89 / Avg: 2.92 / Max: 2.95Min: 1.69 / Avg: 1.7 / Max: 1.7Min: 1.84 / Avg: 1.85 / Max: 1.85Min: 2.54 / Avg: 2.56 / Max: 2.58Min: 2.69 / Avg: 2.71 / Max: 2.72Min: 2.66 / Avg: 2.68 / Max: 2.7Min: 2.68 / Avg: 2.71 / Max: 2.72Min: 2.72 / Avg: 2.72 / Max: 2.73Min: 3.32 / Avg: 3.36 / Max: 3.39Min: 3.34 / Avg: 3.38 / Max: 3.411. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Encoder Mode: Speed 4 Two-Pass

Ryzen 9 7950X: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Ryzen 9 7900X: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 36.487.385.665.986.596.927.147.037.2211.0811.24
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X3691215Min: 6.45 / Avg: 6.48 / Max: 6.52Min: 7.29 / Avg: 7.38 / Max: 7.43Min: 5.65 / Avg: 5.66 / Max: 5.67Min: 5.96 / Avg: 5.98 / Max: 6Min: 6.57 / Avg: 6.59 / Max: 6.62Min: 6.86 / Avg: 6.92 / Max: 7.03Min: 7.13 / Avg: 7.14 / Max: 7.15Min: 6.93 / Avg: 7.03 / Max: 7.11Min: 7.19 / Avg: 7.22 / Max: 7.26Min: 10.79 / Avg: 11.08 / Max: 11.37Min: 11.15 / Avg: 11.24 / Max: 11.34

FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib64/python3.10/collections/__init__.py)

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 37.889.216.356.828.949.7910.5910.6111.1512.4312.61
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X48121620Min: 7.85 / Avg: 7.88 / Max: 7.9Min: 9.1 / Avg: 9.21 / Max: 9.27Min: 6.33 / Avg: 6.35 / Max: 6.36Min: 6.82 / Avg: 6.82 / Max: 6.82Min: 8.9 / Avg: 8.94 / Max: 8.99Min: 9.78 / Avg: 9.79 / Max: 9.81Min: 10.57 / Avg: 10.59 / Max: 10.64Min: 10.56 / Avg: 10.61 / Max: 10.68Min: 11.08 / Avg: 11.15 / Max: 11.19Min: 12.32 / Avg: 12.43 / Max: 12.5Min: 12.57 / Avg: 12.61 / Max: 12.65

FP16: No - Mode: Inference - Network: Inception V3 - Device: CPU

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib64/python3.10/collections/__init__.py)

Hierarchical INTegration

This test runs the U.S. Department of Energy's Ames Laboratory Hierarchical INTegration (HINT) benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X140M280M420M560M700MSE +/- 345078.13, N = 3SE +/- 667086.01, N = 3SE +/- 209117.75, N = 3SE +/- 776522.58, N = 3SE +/- 140508.36, N = 3SE +/- 821909.63, N = 3SE +/- 425188.38, N = 3SE +/- 3810394.29, N = 3SE +/- 265333.27, N = 3SE +/- 1730487.00, N = 3SE +/- 6320318.74, N = 3SE +/- 9231598.38, N = 3481073602.70511718743.40322438360.17344830613.40390856008.08406360022.76401445819.03385672695.95406108737.68517301573.26535283139.78639275085.381. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X110M220M330M440M550MMin: 480414622.32 / Avg: 481073602.7 / Max: 481580703.12Min: 510397230.92 / Avg: 511718743.4 / Max: 512538291.31Min: 322137574.55 / Avg: 322438360.17 / Max: 322840420.84Min: 343993771.67 / Avg: 344830613.4 / Max: 346382054.08Min: 390575108.12 / Avg: 390856008.08 / Max: 391003472.69Min: 405259325.91 / Avg: 406360022.76 / Max: 407967705.63Min: 400602356.14 / Avg: 401445819.03 / Max: 401961269.42Min: 378051925.06 / Avg: 385672695.95 / Max: 389497301.13Min: 405579047.72 / Avg: 406108737.68 / Max: 406401451.13Min: 514599910.47 / Avg: 517301573.26 / Max: 520525775.78Min: 523014509.79 / Avg: 535283139.78 / Max: 544053706.98Min: 620815685.5 / Avg: 639275085.38 / Max: 648829043.031. (CC) gcc options: -O3 -march=native -lm

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X246810SE +/- 0.014, N = 3SE +/- 0.013, N = 3SE +/- 0.019, N = 3SE +/- 0.017, N = 3SE +/- 0.006, N = 3SE +/- 0.017, N = 3SE +/- 0.026, N = 3SE +/- 0.008, N = 3SE +/- 0.054, N = 3SE +/- 0.012, N = 3SE +/- 0.024, N = 3SE +/- 0.015, N = 35.4344.5386.6436.1535.3224.7334.6164.5864.4534.2644.2583.3591. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X3691215Min: 5.41 / Avg: 5.43 / Max: 5.46Min: 4.52 / Avg: 4.54 / Max: 4.56Min: 6.62 / Avg: 6.64 / Max: 6.68Min: 6.12 / Avg: 6.15 / Max: 6.18Min: 5.31 / Avg: 5.32 / Max: 5.33Min: 4.7 / Avg: 4.73 / Max: 4.76Min: 4.58 / Avg: 4.62 / Max: 4.66Min: 4.57 / Avg: 4.59 / Max: 4.6Min: 4.35 / Avg: 4.45 / Max: 4.52Min: 4.25 / Avg: 4.26 / Max: 4.29Min: 4.21 / Avg: 4.26 / Max: 4.29Min: 3.34 / Avg: 3.36 / Max: 3.391. (CXX) g++ options: -O3 -fPIC

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1530456075SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.25, N = 3SE +/- 0.11, N = 3SE +/- 0.21, N = 3SE +/- 0.52, N = 3SE +/- 0.20, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 352.5349.2365.3160.6955.2152.4554.6753.6954.0945.0545.0533.15
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1326395265Min: 52.43 / Avg: 52.53 / Max: 52.65Min: 49.04 / Avg: 49.23 / Max: 49.52Min: 65.22 / Avg: 65.31 / Max: 65.47Min: 60.62 / Avg: 60.69 / Max: 60.82Min: 55.08 / Avg: 55.21 / Max: 55.28Min: 52.02 / Avg: 52.45 / Max: 52.89Min: 54.51 / Avg: 54.67 / Max: 54.87Min: 53.3 / Avg: 53.69 / Max: 54Min: 53.07 / Avg: 54.09 / Max: 54.75Min: 44.79 / Avg: 45.05 / Max: 45.44Min: 44.98 / Avg: 45.05 / Max: 45.08Min: 33.11 / Avg: 33.15 / Max: 33.22

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X0.58971.17941.76912.35882.9485SE +/- 0.002, N = 3SE +/- 0.008, N = 3SE +/- 0.001, N = 3SE +/- 0.011, N = 3SE +/- 0.003, N = 3SE +/- 0.016, N = 3SE +/- 0.023, N = 3SE +/- 0.015, N = 3SE +/- 0.029, N = 3SE +/- 0.009, N = 3SE +/- 0.015, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 32.1152.0092.6212.4422.1892.0992.1752.0882.1611.7431.7291.4441.335-pthread-pthread-pthread-pthread-pthread-pthread-pthread-pthread-pthread-pthread-pthread1. (CC) gcc options: -fvisibility=hidden -O2 -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X246810Min: 2.11 / Avg: 2.12 / Max: 2.12Min: 1.99 / Avg: 2.01 / Max: 2.02Min: 2.62 / Avg: 2.62 / Max: 2.62Min: 2.43 / Avg: 2.44 / Max: 2.47Min: 2.19 / Avg: 2.19 / Max: 2.19Min: 2.08 / Avg: 2.1 / Max: 2.13Min: 2.13 / Avg: 2.18 / Max: 2.21Min: 2.06 / Avg: 2.09 / Max: 2.1Min: 2.1 / Avg: 2.16 / Max: 2.2Min: 1.73 / Avg: 1.74 / Max: 1.75Min: 1.71 / Avg: 1.73 / Max: 1.76Min: 1.44 / Avg: 1.44 / Max: 1.45Min: 1.33 / Avg: 1.34 / Max: 1.341. (CC) gcc options: -fvisibility=hidden -O2 -lm -ljpeg -lpng16 -ltiff

libjpeg-turbo tjbench

tjbench is a JPEG decompression/compression benchmark part of libjpeg-turbo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMegapixels/sec, More Is Betterlibjpeg-turbo tjbench 2.0.2Test: Decompression ThroughputCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X70140210280350SE +/- 0.15, N = 3SE +/- 0.36, N = 3SE +/- 0.11, N = 3SE +/- 0.32, N = 3SE +/- 0.23, N = 3SE +/- 2.30, N = 3SE +/- 0.79, N = 3SE +/- 0.03, N = 3SE +/- 3.33, N = 4SE +/- 0.76, N = 3SE +/- 0.44, N = 3SE +/- 1.04, N = 3223.57237.26164.17176.66221.22232.69229.31221.00225.71281.15281.53319.15-lm1. (CC) gcc options: -O3 -rdynamic
OpenBenchmarking.orgMegapixels/sec, More Is Betterlibjpeg-turbo tjbench 2.0.2Test: Decompression ThroughputCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X60120180240300Min: 223.28 / Avg: 223.57 / Max: 223.78Min: 236.71 / Avg: 237.26 / Max: 237.93Min: 163.96 / Avg: 164.17 / Max: 164.3Min: 176.04 / Avg: 176.66 / Max: 177.13Min: 220.92 / Avg: 221.22 / Max: 221.67Min: 228.17 / Avg: 232.69 / Max: 235.7Min: 228.35 / Avg: 229.31 / Max: 230.87Min: 220.97 / Avg: 221 / Max: 221.06Min: 220.92 / Avg: 225.71 / Max: 235.56Min: 279.95 / Avg: 281.15 / Max: 282.54Min: 280.89 / Avg: 281.53 / Max: 282.37Min: 317.89 / Avg: 319.15 / Max: 321.221. (CC) gcc options: -O3 -rdynamic

Tungsten Renderer

Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Water CausticCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X918273645SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.19, N = 3SE +/- 0.20, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 329.8023.5837.5634.8830.4825.8824.1123.8321.2321.2519.47-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2-march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi21. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Water CausticCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X816243240Min: 29.68 / Avg: 29.8 / Max: 29.89Min: 23.51 / Avg: 23.58 / Max: 23.64Min: 37.2 / Avg: 37.56 / Max: 37.84Min: 34.51 / Avg: 34.88 / Max: 35.22Min: 30.39 / Avg: 30.48 / Max: 30.56Min: 25.83 / Avg: 25.88 / Max: 25.92Min: 24.04 / Avg: 24.11 / Max: 24.21Min: 23.63 / Avg: 23.83 / Max: 23.94Min: 21.17 / Avg: 21.23 / Max: 21.28Min: 21.17 / Avg: 21.25 / Max: 21.38Min: 19.44 / Avg: 19.47 / Max: 19.531. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

Scene: Water Caustic

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: tungsten: line 3: ./tungsten: No such file or directory

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X1.18352.3673.55054.7345.9175SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.174.652.742.983.974.204.164.184.185.265.241. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X246810Min: 4.15 / Avg: 4.17 / Max: 4.18Min: 4.59 / Avg: 4.65 / Max: 4.72Min: 2.73 / Avg: 2.74 / Max: 2.75Min: 2.96 / Avg: 2.98 / Max: 2.99Min: 3.97 / Avg: 3.97 / Max: 3.98Min: 4.17 / Avg: 4.2 / Max: 4.21Min: 4.11 / Avg: 4.16 / Max: 4.19Min: 4.13 / Avg: 4.18 / Max: 4.22Min: 4.15 / Avg: 4.18 / Max: 4.22Min: 5.25 / Avg: 5.26 / Max: 5.27Min: 5.23 / Avg: 5.24 / Max: 5.271. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Encoder Mode: Speed 6 Two-Pass

Ryzen 9 7950X: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Ryzen 9 7900X: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.88, N = 34.414.007.657.105.084.834.754.755.153.994.164.59MIN: 4.31 / MAX: 5.93MIN: 3.91 / MAX: 4.67MIN: 7.51 / MAX: 10.63MIN: 6.89 / MAX: 24.51MIN: 4.97 / MAX: 6.88MIN: 4.73 / MAX: 5.7MIN: 4.68 / MAX: 5.93MIN: 4.7 / MAX: 5.67MIN: 5.03 / MAX: 5.6MIN: 3.93 / MAX: 4.83MIN: 4.11 / MAX: 5.11MIN: 3.45 / MAX: 7.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X3691215Min: 4.39 / Avg: 4.41 / Max: 4.43Min: 3.98 / Avg: 4 / Max: 4.01Min: 7.6 / Avg: 7.65 / Max: 7.69Min: 6.99 / Avg: 7.1 / Max: 7.27Min: 5.06 / Avg: 5.08 / Max: 5.1Min: 4.83 / Avg: 4.83 / Max: 4.83Min: 4.73 / Avg: 4.75 / Max: 4.76Min: 4.74 / Avg: 4.75 / Max: 4.76Min: 5.09 / Avg: 5.15 / Max: 5.21Min: 3.98 / Avg: 3.99 / Max: 4Min: 4.14 / Avg: 4.16 / Max: 4.17Min: 3.68 / Avg: 4.59 / Max: 6.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Dolfyn

Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X510152025SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.21, N = 3SE +/- 0.19, N = 3SE +/- 0.15, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.21, N = 3SE +/- 0.12, N = 317.1316.4019.2818.0316.1515.3816.1315.6415.5712.8412.8210.9610.07
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X510152025Min: 17.09 / Avg: 17.13 / Max: 17.16Min: 16.28 / Avg: 16.4 / Max: 16.6Min: 19.16 / Avg: 19.28 / Max: 19.4Min: 17.85 / Avg: 18.03 / Max: 18.14Min: 16.05 / Avg: 16.15 / Max: 16.32Min: 15.32 / Avg: 15.38 / Max: 15.42Min: 15.7 / Avg: 16.13 / Max: 16.38Min: 15.31 / Avg: 15.64 / Max: 15.96Min: 15.28 / Avg: 15.57 / Max: 15.79Min: 12.74 / Avg: 12.84 / Max: 12.93Min: 12.78 / Avg: 12.82 / Max: 12.9Min: 10.71 / Avg: 10.96 / Max: 11.38Min: 9.9 / Avg: 10.07 / Max: 10.31

LibreOffice

Various benchmarking operations with the LibreOffice open-source office suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterLibreOfficeTest: 20 Documents To PDFCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X246810SE +/- 0.062, N = 22SE +/- 0.062, N = 23SE +/- 0.058, N = 22SE +/- 0.052, N = 22SE +/- 0.051, N = 22SE +/- 0.050, N = 20SE +/- 0.040, N = 25SE +/- 0.053, N = 25SE +/- 0.046, N = 25SE +/- 0.044, N = 25SE +/- 0.047, N = 23SE +/- 0.042, N = 216.5686.2898.5427.8796.4816.2076.5066.3556.4125.1425.1264.4661. Core i5 10600K: LibreOffice 7.0.1.2 00(Build:2)2. Core i9 10900K: LibreOffice 7.0.1.2 00(Build:2)3. Ryzen 5 2600: LibreOffice 7.0.1.2 00(Build:2)4. Ryzen 5 2600X: LibreOffice 7.0.1.2 00(Build:2)5. Ryzen 5 3600X: LibreOffice 7.0.1.2 00(Build:2)6. Ryzen 7 3800XT: LibreOffice 7.0.1.2 00(Build:2)7. Ryzen 9 3900X: LibreOffice 7.0.1.2 00(Build:2)8. Ryzen 9 3900XT: LibreOffice 7.0.1.2 00(Build:2)9. Ryzen 9 3950X: LibreOffice 7.0.1.2 00(Build:2)10. Ryzen 9 5900X: LibreOffice 7.0.1.2 00(Build:2)11. Ryzen 9 5950X: LibreOffice 7.0.1.2 00(Build:2)12. Ryzen 9 7950X: LibreOffice 7.3.6.2 30(Build:2)
OpenBenchmarking.orgSeconds, Fewer Is BetterLibreOfficeTest: 20 Documents To PDFCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X3691215Min: 6.4 / Avg: 6.57 / Max: 7.81Min: 6.06 / Avg: 6.29 / Max: 7.57Min: 8.42 / Avg: 8.54 / Max: 9.74Min: 7.68 / Avg: 7.88 / Max: 8.94Min: 6.35 / Avg: 6.48 / Max: 7.53Min: 5.98 / Avg: 6.21 / Max: 7.07Min: 6.3 / Avg: 6.51 / Max: 7.33Min: 6.11 / Avg: 6.36 / Max: 7.48Min: 6.16 / Avg: 6.41 / Max: 7.32Min: 4.98 / Avg: 5.14 / Max: 6.14Min: 4.94 / Avg: 5.13 / Max: 6.11Min: 4.38 / Avg: 4.47 / Max: 5.311. Core i5 10600K: LibreOffice 7.0.1.2 00(Build:2)2. Core i9 10900K: LibreOffice 7.0.1.2 00(Build:2)3. Ryzen 5 2600: LibreOffice 7.0.1.2 00(Build:2)4. Ryzen 5 2600X: LibreOffice 7.0.1.2 00(Build:2)5. Ryzen 5 3600X: LibreOffice 7.0.1.2 00(Build:2)6. Ryzen 7 3800XT: LibreOffice 7.0.1.2 00(Build:2)7. Ryzen 9 3900X: LibreOffice 7.0.1.2 00(Build:2)8. Ryzen 9 3900XT: LibreOffice 7.0.1.2 00(Build:2)9. Ryzen 9 3950X: LibreOffice 7.0.1.2 00(Build:2)10. Ryzen 9 5900X: LibreOffice 7.0.1.2 00(Build:2)11. Ryzen 9 5950X: LibreOffice 7.0.1.2 00(Build:2)12. Ryzen 9 7950X: LibreOffice 7.3.6.2 30(Build:2)

Timed GDB GNU Debugger Compilation

This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X306090120150SE +/- 0.27, N = 3SE +/- 0.31, N = 3SE +/- 0.16, N = 3SE +/- 0.16, N = 3SE +/- 0.20, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.15, N = 3SE +/- 0.19, N = 3110.0387.43157.41137.80109.6499.0694.9394.0390.5583.5882.47
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X306090120150Min: 109.61 / Avg: 110.03 / Max: 110.54Min: 86.81 / Avg: 87.43 / Max: 87.82Min: 157.2 / Avg: 157.41 / Max: 157.73Min: 137.61 / Avg: 137.8 / Max: 138.12Min: 109.3 / Avg: 109.64 / Max: 109.99Min: 98.92 / Avg: 99.06 / Max: 99.2Min: 94.85 / Avg: 94.92 / Max: 95.03Min: 94.03 / Avg: 94.03 / Max: 94.04Min: 90.5 / Avg: 90.55 / Max: 90.59Min: 83.3 / Avg: 83.58 / Max: 83.82Min: 82.14 / Avg: 82.47 / Max: 82.82

Time To Compile

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ../gnulib/import/unistd.h:1929:1: error: ‘_GL_INLINE_HEADER_END’ does not name a type

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X510152025SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 315.214.321.319.916.115.215.815.415.612.712.711.2
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X510152025Min: 15.2 / Avg: 15.2 / Max: 15.2Min: 14.2 / Avg: 14.27 / Max: 14.3Min: 21.3 / Avg: 21.3 / Max: 21.3Min: 19.9 / Avg: 19.93 / Max: 20Min: 16 / Avg: 16.07 / Max: 16.1Min: 15.2 / Avg: 15.23 / Max: 15.3Min: 15.8 / Avg: 15.83 / Max: 15.9Min: 15.3 / Avg: 15.4 / Max: 15.5Min: 15.5 / Avg: 15.57 / Max: 15.6Min: 12.6 / Avg: 12.67 / Max: 12.7Min: 12.7 / Avg: 12.7 / Max: 12.7Min: 11.2 / Avg: 11.23 / Max: 11.3

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X510152025SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.23, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 314.8913.5619.6618.4017.5716.9216.7016.4817.9113.3214.6210.35MIN: 14.8 / MAX: 16.25MIN: 13.34 / MAX: 23.75MIN: 19.19 / MAX: 72.97MIN: 18.12 / MAX: 32.57MIN: 17.45 / MAX: 19.63MIN: 16.79 / MAX: 26.29MIN: 16.36 / MAX: 72.05MIN: 16.31 / MAX: 28.36MIN: 17.65 / MAX: 28.08MIN: 13.09 / MAX: 14.66MIN: 14.51 / MAX: 15.37MIN: 9.5 / MAX: 18.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X510152025Min: 14.87 / Avg: 14.89 / Max: 14.91Min: 13.52 / Avg: 13.56 / Max: 13.59Min: 19.42 / Avg: 19.66 / Max: 20.12Min: 18.26 / Avg: 18.4 / Max: 18.58Min: 17.54 / Avg: 17.57 / Max: 17.58Min: 16.9 / Avg: 16.92 / Max: 16.96Min: 16.56 / Avg: 16.7 / Max: 16.95Min: 16.43 / Avg: 16.48 / Max: 16.51Min: 17.78 / Avg: 17.91 / Max: 18.07Min: 13.17 / Avg: 13.32 / Max: 13.62Min: 14.6 / Avg: 14.62 / Max: 14.65Min: 10.26 / Avg: 10.35 / Max: 10.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X612182430SE +/- 0.07, N = 3SE +/- 0.21, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 321.7025.6713.5814.8419.2619.4719.8219.6419.4725.3025.451. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X612182430Min: 21.57 / Avg: 21.7 / Max: 21.8Min: 25.33 / Avg: 25.67 / Max: 26.05Min: 13.54 / Avg: 13.58 / Max: 13.64Min: 14.77 / Avg: 14.84 / Max: 14.9Min: 19.13 / Avg: 19.26 / Max: 19.36Min: 19.23 / Avg: 19.47 / Max: 19.68Min: 19.7 / Avg: 19.82 / Max: 20.04Min: 19.58 / Avg: 19.64 / Max: 19.69Min: 19.33 / Avg: 19.47 / Max: 19.65Min: 25.16 / Avg: 25.3 / Max: 25.53Min: 25.21 / Avg: 25.45 / Max: 25.581. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Encoder Mode: Speed 6 Realtime

Ryzen 9 7950X: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Ryzen 9 7900X: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X246810SE +/- 0.014, N = 3SE +/- 0.018, N = 3SE +/- 0.007, N = 3SE +/- 0.004, N = 3SE +/- 0.008, N = 3SE +/- 0.027, N = 3SE +/- 0.020, N = 3SE +/- 0.060, N = 3SE +/- 0.023, N = 3SE +/- 0.015, N = 3SE +/- 0.019, N = 3SE +/- 0.032, N = 155.1024.3796.2525.8204.9704.4564.3954.3364.3054.1384.1333.3101. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X3691215Min: 5.08 / Avg: 5.1 / Max: 5.12Min: 4.35 / Avg: 4.38 / Max: 4.41Min: 6.24 / Avg: 6.25 / Max: 6.26Min: 5.81 / Avg: 5.82 / Max: 5.83Min: 4.96 / Avg: 4.97 / Max: 4.98Min: 4.42 / Avg: 4.46 / Max: 4.51Min: 4.37 / Avg: 4.4 / Max: 4.44Min: 4.27 / Avg: 4.34 / Max: 4.46Min: 4.26 / Avg: 4.31 / Max: 4.33Min: 4.11 / Avg: 4.14 / Max: 4.16Min: 4.1 / Avg: 4.13 / Max: 4.16Min: 3.23 / Avg: 3.31 / Max: 3.721. (CXX) g++ options: -O3 -fPIC

SciMark

This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Monte CarloCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X50100150200250SE +/- 0.10, N = 3SE +/- 1.85, N = 3SE +/- 0.02, N = 3SE +/- 0.23, N = 3SE +/- 0.03, N = 3SE +/- 0.69, N = 3SE +/- 2.65, N = 3SE +/- 2.11, N = 3SE +/- 0.92, N = 3SE +/- 0.67, N = 3SE +/- 0.65, N = 3SE +/- 1.11, N = 3SE +/- 4.54, N = 3165.10179.16131.78140.76159.39168.24159.96163.05165.36189.65192.12238.35248.651. (CC) gcc options: -lm
OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Monte CarloCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X50100150200250Min: 164.89 / Avg: 165.1 / Max: 165.21Min: 175.46 / Avg: 179.16 / Max: 181.07Min: 131.74 / Avg: 131.78 / Max: 131.81Min: 140.3 / Avg: 140.76 / Max: 141.05Min: 159.34 / Avg: 159.39 / Max: 159.45Min: 167.42 / Avg: 168.24 / Max: 169.61Min: 154.69 / Avg: 159.96 / Max: 163.05Min: 158.83 / Avg: 163.05 / Max: 165.3Min: 164.2 / Avg: 165.36 / Max: 167.18Min: 188.97 / Avg: 189.65 / Max: 191Min: 191.15 / Avg: 192.12 / Max: 193.36Min: 237.19 / Avg: 238.35 / Max: 240.57Min: 243.87 / Avg: 248.65 / Max: 257.721. (CC) gcc options: -lm

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X612182430SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 314.4817.0612.5713.2314.7615.6516.4016.3816.8523.2023.64
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X612182430Min: 14.35 / Avg: 14.48 / Max: 14.57Min: 17.02 / Avg: 17.06 / Max: 17.12Min: 12.55 / Avg: 12.57 / Max: 12.59Min: 13.2 / Avg: 13.23 / Max: 13.25Min: 14.73 / Avg: 14.76 / Max: 14.83Min: 15.57 / Avg: 15.65 / Max: 15.72Min: 16.28 / Avg: 16.4 / Max: 16.52Min: 16.2 / Avg: 16.38 / Max: 16.53Min: 16.83 / Avg: 16.85 / Max: 16.86Min: 22.86 / Avg: 23.2 / Max: 23.44Min: 23.58 / Avg: 23.64 / Max: 23.73

FP16: No - Mode: Inference - Network: Mobilenet - Device: CPU

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib64/python3.10/collections/__init__.py)

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X20406080100SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 1.07, N = 3SE +/- 0.83, N = 3SE +/- 0.24, N = 3SE +/- 0.87, N = 3SE +/- 0.24, N = 3SE +/- 1.07, N = 3SE +/- 0.37, N = 3SE +/- 1.56, N = 12SE +/- 0.77, N = 6SE +/- 1.26, N = 15SE +/- 1.29, N = 1291.9083.89104.3199.3187.0980.9481.1079.7679.9366.7463.8656.8855.631. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X20406080100Min: 91.82 / Avg: 91.9 / Max: 91.99Min: 83.81 / Avg: 83.89 / Max: 83.99Min: 103.14 / Avg: 104.31 / Max: 106.45Min: 98 / Avg: 99.31 / Max: 100.86Min: 86.66 / Avg: 87.09 / Max: 87.5Min: 80 / Avg: 80.94 / Max: 82.68Min: 80.64 / Avg: 81.1 / Max: 81.42Min: 77.65 / Avg: 79.76 / Max: 81.13Min: 79.4 / Avg: 79.92 / Max: 80.63Min: 61.14 / Avg: 66.74 / Max: 81.24Min: 62.27 / Avg: 63.86 / Max: 66.63Min: 52.03 / Avg: 56.88 / Max: 64.23Min: 48.96 / Avg: 55.63 / Max: 61.181. (CXX) g++ options: -O2 -lOpenCL

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X510152025SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.17, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.18, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 315.4515.0820.2318.7615.6215.0415.2614.8615.6412.6312.7611.3610.81-pthread-pthread-pthread-pthread-pthread-pthread-pthread-pthread-pthread-pthread-pthread1. (CC) gcc options: -fvisibility=hidden -O2 -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X510152025Min: 15.36 / Avg: 15.45 / Max: 15.51Min: 15.06 / Avg: 15.08 / Max: 15.11Min: 19.89 / Avg: 20.23 / Max: 20.41Min: 18.62 / Avg: 18.76 / Max: 18.98Min: 15.56 / Avg: 15.62 / Max: 15.73Min: 14.77 / Avg: 15.04 / Max: 15.2Min: 15.07 / Avg: 15.26 / Max: 15.51Min: 14.81 / Avg: 14.85 / Max: 14.89Min: 15.49 / Avg: 15.64 / Max: 15.87Min: 12.35 / Avg: 12.63 / Max: 12.96Min: 12.57 / Avg: 12.76 / Max: 12.96Min: 11.33 / Avg: 11.36 / Max: 11.42Min: 10.63 / Avg: 10.81 / Max: 10.921. (CC) gcc options: -fvisibility=hidden -O2 -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X246810SE +/- 0.005, N = 3SE +/- 0.015, N = 3SE +/- 0.005, N = 3SE +/- 0.011, N = 3SE +/- 0.025, N = 3SE +/- 0.078, N = 3SE +/- 0.067, N = 3SE +/- 0.056, N = 3SE +/- 0.087, N = 5SE +/- 0.033, N = 3SE +/- 0.019, N = 3SE +/- 0.013, N = 3SE +/- 0.007, N = 36.3876.0248.2907.7536.9166.5676.8046.5556.7485.3405.3344.8294.457-pthread-pthread-pthread-pthread-pthread-pthread-pthread-pthread-pthread-pthread-pthread1. (CC) gcc options: -fvisibility=hidden -O2 -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X3691215Min: 6.38 / Avg: 6.39 / Max: 6.39Min: 6 / Avg: 6.02 / Max: 6.05Min: 8.28 / Avg: 8.29 / Max: 8.3Min: 7.74 / Avg: 7.75 / Max: 7.77Min: 6.87 / Avg: 6.92 / Max: 6.95Min: 6.44 / Avg: 6.57 / Max: 6.71Min: 6.74 / Avg: 6.8 / Max: 6.94Min: 6.44 / Avg: 6.56 / Max: 6.62Min: 6.47 / Avg: 6.75 / Max: 6.93Min: 5.28 / Avg: 5.34 / Max: 5.38Min: 5.3 / Avg: 5.33 / Max: 5.37Min: 4.81 / Avg: 4.83 / Max: 4.86Min: 4.44 / Avg: 4.46 / Max: 4.471. (CC) gcc options: -fvisibility=hidden -O2 -lm -ljpeg -lpng16 -ltiff

LAME MP3 Encoding

LAME is an MP3 encoder licensed under the LGPL. This test measures the time required to encode a WAV file to MP3 format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X246810SE +/- 0.017, N = 3SE +/- 0.004, N = 3SE +/- 0.008, N = 3SE +/- 0.040, N = 3SE +/- 0.031, N = 3SE +/- 0.076, N = 3SE +/- 0.110, N = 3SE +/- 0.097, N = 3SE +/- 0.054, N = 3SE +/- 0.027, N = 3SE +/- 0.014, N = 3SE +/- 0.003, N = 37.3976.9668.8128.2137.0676.6587.0816.9646.8945.6215.5624.775-lncurses1. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X3691215Min: 7.37 / Avg: 7.4 / Max: 7.43Min: 6.96 / Avg: 6.97 / Max: 6.97Min: 8.8 / Avg: 8.81 / Max: 8.83Min: 8.15 / Avg: 8.21 / Max: 8.29Min: 7.02 / Avg: 7.07 / Max: 7.12Min: 6.58 / Avg: 6.66 / Max: 6.81Min: 6.87 / Avg: 7.08 / Max: 7.24Min: 6.77 / Avg: 6.96 / Max: 7.08Min: 6.83 / Avg: 6.89 / Max: 7Min: 5.58 / Avg: 5.62 / Max: 5.67Min: 5.54 / Avg: 5.56 / Max: 5.59Min: 4.77 / Avg: 4.78 / Max: 4.781. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X20406080100SE +/- 0.19, N = 3SE +/- 1.00, N = 3SE +/- 0.34, N = 3SE +/- 0.46, N = 3SE +/- 0.14, N = 3SE +/- 0.26, N = 3SE +/- 0.32, N = 3SE +/- 0.37, N = 3SE +/- 0.51, N = 3SE +/- 0.11, N = 3SE +/- 0.13, N = 3SE +/- 0.07, N = 364.0778.0276.0969.0657.7061.2465.3765.5863.2358.4059.6543.56
OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1530456075Min: 63.86 / Avg: 64.07 / Max: 64.45Min: 77.02 / Avg: 78.02 / Max: 80.01Min: 75.68 / Avg: 76.09 / Max: 76.76Min: 68.34 / Avg: 69.06 / Max: 69.92Min: 57.5 / Avg: 57.7 / Max: 57.97Min: 60.87 / Avg: 61.24 / Max: 61.74Min: 65.04 / Avg: 65.37 / Max: 66.02Min: 64.86 / Avg: 65.58 / Max: 66.08Min: 62.49 / Avg: 63.23 / Max: 64.2Min: 58.2 / Avg: 58.4 / Max: 58.6Min: 59.43 / Avg: 59.65 / Max: 59.89Min: 43.43 / Avg: 43.56 / Max: 43.68

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1020304050SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 334.1231.7343.2539.7536.7534.7436.7835.9936.6430.5630.7424.15
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X918273645Min: 34.09 / Avg: 34.12 / Max: 34.16Min: 31.7 / Avg: 31.73 / Max: 31.78Min: 43.23 / Avg: 43.25 / Max: 43.27Min: 39.66 / Avg: 39.75 / Max: 39.85Min: 36.66 / Avg: 36.75 / Max: 36.92Min: 34.64 / Avg: 34.74 / Max: 34.8Min: 36.71 / Avg: 36.78 / Max: 36.85Min: 35.82 / Avg: 35.99 / Max: 36.11Min: 36.56 / Avg: 36.64 / Max: 36.73Min: 30.45 / Avg: 30.56 / Max: 30.68Min: 30.7 / Avg: 30.74 / Max: 30.77Min: 24.11 / Avg: 24.15 / Max: 24.18

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X918273645SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.22, N = 333.1631.1240.3038.0332.5331.2032.0132.5832.3027.6227.2723.7022.66-pthread-pthread-pthread-pthread-pthread-pthread-pthread-pthread-pthread-pthread-pthread1. (CC) gcc options: -fvisibility=hidden -O2 -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X816243240Min: 33.01 / Avg: 33.16 / Max: 33.27Min: 31.04 / Avg: 31.12 / Max: 31.18Min: 40.29 / Avg: 40.3 / Max: 40.34Min: 37.97 / Avg: 38.03 / Max: 38.14Min: 32.42 / Avg: 32.53 / Max: 32.61Min: 31.09 / Avg: 31.2 / Max: 31.34Min: 31.86 / Avg: 32.01 / Max: 32.13Min: 32.53 / Avg: 32.58 / Max: 32.61Min: 32.11 / Avg: 32.3 / Max: 32.43Min: 27.48 / Avg: 27.62 / Max: 27.72Min: 27.25 / Avg: 27.27 / Max: 27.31Min: 23.56 / Avg: 23.7 / Max: 23.85Min: 22.23 / Avg: 22.66 / Max: 22.911. (CC) gcc options: -fvisibility=hidden -O2 -lm -ljpeg -lpng16 -ltiff

FLAC Audio Encoding

This test times how long it takes to encode a sample WAV file to FLAC format five times. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLACCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X3691215SE +/- 0.017, N = 5SE +/- 0.014, N = 5SE +/- 0.007, N = 5SE +/- 0.016, N = 5SE +/- 0.016, N = 5SE +/- 0.028, N = 5SE +/- 0.039, N = 5SE +/- 0.034, N = 5SE +/- 0.026, N = 5SE +/- 0.033, N = 5SE +/- 0.038, N = 5SE +/- 0.015, N = 57.5877.1739.7489.1247.6957.3407.5797.5387.4556.4406.3735.5041. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLACCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X3691215Min: 7.55 / Avg: 7.59 / Max: 7.63Min: 7.15 / Avg: 7.17 / Max: 7.22Min: 9.72 / Avg: 9.75 / Max: 9.76Min: 9.1 / Avg: 9.12 / Max: 9.19Min: 7.67 / Avg: 7.69 / Max: 7.76Min: 7.26 / Avg: 7.34 / Max: 7.43Min: 7.46 / Avg: 7.58 / Max: 7.66Min: 7.44 / Avg: 7.54 / Max: 7.63Min: 7.39 / Avg: 7.45 / Max: 7.53Min: 6.33 / Avg: 6.44 / Max: 6.52Min: 6.23 / Avg: 6.37 / Max: 6.45Min: 5.45 / Avg: 5.5 / Max: 5.541. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X816243240SE +/- 0.12, N = 4SE +/- 0.14, N = 4SE +/- 0.27, N = 4SE +/- 0.12, N = 4SE +/- 0.06, N = 4SE +/- 0.11, N = 4SE +/- 0.14, N = 4SE +/- 0.38, N = 4SE +/- 0.11, N = 4SE +/- 0.09, N = 4SE +/- 0.06, N = 4SE +/- 0.23, N = 826.7725.3033.3830.8327.4826.0826.8126.7126.6821.3221.4618.96-lpthread -lm1. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X714212835Min: 26.45 / Avg: 26.77 / Max: 26.97Min: 24.89 / Avg: 25.3 / Max: 25.47Min: 32.95 / Avg: 33.38 / Max: 34.18Min: 30.55 / Avg: 30.83 / Max: 31.06Min: 27.33 / Avg: 27.48 / Max: 27.57Min: 25.91 / Avg: 26.08 / Max: 26.4Min: 26.58 / Avg: 26.81 / Max: 27.22Min: 25.81 / Avg: 26.71 / Max: 27.48Min: 26.33 / Avg: 26.68 / Max: 26.81Min: 21.08 / Avg: 21.32 / Max: 21.48Min: 21.35 / Avg: 21.46 / Max: 21.57Min: 18.16 / Avg: 18.96 / Max: 19.741. (CC) gcc options: -O2 -std=c99

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X306090120150SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 0.24, N = 3SE +/- 0.20, N = 3SE +/- 0.83, N = 398.793.0156.0142.0105.0100.0103.0101.0102.088.789.093.7
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X306090120150Min: 98.6 / Avg: 98.7 / Max: 98.9Min: 92.9 / Avg: 92.97 / Max: 93Min: 155 / Avg: 156.33 / Max: 158Min: 103 / Avg: 103.33 / Max: 104Min: 88.4 / Avg: 88.73 / Max: 89.2Min: 88.7 / Avg: 89.03 / Max: 89.4Min: 92.1 / Avg: 93.7 / Max: 94.9

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNGCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X714212835SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.20, N = 3SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 320.8619.8631.7028.4923.8823.7824.2123.7823.9218.3218.551. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)
OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNGCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X714212835Min: 20.8 / Avg: 20.86 / Max: 20.99Min: 19.76 / Avg: 19.86 / Max: 20.02Min: 31.57 / Avg: 31.7 / Max: 31.96Min: 28.4 / Avg: 28.49 / Max: 28.64Min: 23.8 / Avg: 23.88 / Max: 23.92Min: 23.72 / Avg: 23.78 / Max: 23.85Min: 24.07 / Avg: 24.21 / Max: 24.33Min: 23.56 / Avg: 23.78 / Max: 24.17Min: 23.64 / Avg: 23.92 / Max: 24.12Min: 18.25 / Avg: 18.32 / Max: 18.38Min: 18.49 / Avg: 18.55 / Max: 18.591. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)

Operation: SVG Files To PNG

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X816243240SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.18, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.19, N = 3SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 327.0425.4534.0931.5229.6728.3629.4729.0729.1824.5324.6719.74
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X714212835Min: 27 / Avg: 27.04 / Max: 27.07Min: 25.36 / Avg: 25.45 / Max: 25.53Min: 34.07 / Avg: 34.09 / Max: 34.1Min: 31.33 / Avg: 31.52 / Max: 31.89Min: 29.61 / Avg: 29.67 / Max: 29.74Min: 28.22 / Avg: 28.36 / Max: 28.53Min: 29.13 / Avg: 29.46 / Max: 29.78Min: 28.81 / Avg: 29.07 / Max: 29.35Min: 28.96 / Avg: 29.18 / Max: 29.3Min: 24.32 / Avg: 24.53 / Max: 24.82Min: 24.63 / Avg: 24.67 / Max: 24.73Min: 19.72 / Avg: 19.74 / Max: 19.76

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: resizeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.124, N = 3SE +/- 0.050, N = 3SE +/- 0.154, N = 3SE +/- 0.130, N = 3SE +/- 0.080, N = 3SE +/- 0.088, N = 3SE +/- 0.030, N = 3SE +/- 0.053, N = 3SE +/- 0.053, N = 3SE +/- 0.064, N = 3SE +/- 0.085, N = 37.9266.80410.8649.6688.2367.6737.4917.3817.2896.3446.298
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: resizeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X3691215Min: 7.79 / Avg: 7.93 / Max: 8.17Min: 6.73 / Avg: 6.8 / Max: 6.9Min: 10.7 / Avg: 10.86 / Max: 11.17Min: 9.49 / Avg: 9.67 / Max: 9.92Min: 8.11 / Avg: 8.24 / Max: 8.38Min: 7.55 / Avg: 7.67 / Max: 7.84Min: 7.44 / Avg: 7.49 / Max: 7.55Min: 7.3 / Avg: 7.38 / Max: 7.48Min: 7.19 / Avg: 7.29 / Max: 7.38Min: 6.23 / Avg: 6.34 / Max: 6.45Min: 6.19 / Avg: 6.3 / Max: 6.47

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X3691215SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 39.456.807.096.449.607.987.077.046.276.015.601. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X3691215Min: 9.45 / Avg: 9.45 / Max: 9.45Min: 6.76 / Avg: 6.8 / Max: 6.87Min: 7.08 / Avg: 7.09 / Max: 7.09Min: 6.44 / Avg: 6.44 / Max: 6.45Min: 9.59 / Avg: 9.6 / Max: 9.62Min: 7.91 / Avg: 7.98 / Max: 8.07Min: 7.05 / Avg: 7.07 / Max: 7.08Min: 6.95 / Avg: 7.04 / Max: 7.08Min: 6.19 / Avg: 6.27 / Max: 6.31Min: 5.97 / Avg: 6.01 / Max: 6.04Min: 5.59 / Avg: 5.6 / Max: 5.611. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Preset: Medium

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: astcenc: line 2: ./astc-encoder-2.0/Source/astcenc-avx2: No such file or directory

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.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X612182430SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 317.0515.8225.1923.2918.9718.0618.5618.3818.5114.8114.751. chrome 86.0.4240.75
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X612182430Min: 16.79 / Avg: 17.05 / Max: 17.37Min: 15.56 / Avg: 15.82 / Max: 16.13Min: 25.12 / Avg: 25.19 / Max: 25.23Min: 23.11 / Avg: 23.29 / Max: 23.39Min: 18.89 / Avg: 18.97 / Max: 19.05Min: 17.86 / Avg: 18.06 / Max: 18.16Min: 18.38 / Avg: 18.56 / Max: 18.9Min: 18.28 / Avg: 18.38 / Max: 18.5Min: 18.42 / Avg: 18.51 / Max: 18.64Min: 14.76 / Avg: 14.81 / Max: 14.88Min: 14.67 / Avg: 14.75 / Max: 14.811. chrome 86.0.4240.75

Benchmark: ARES-6 - Browser: Google Chrome

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ERROR: test_untitled_test_case (__main__.UntitledTestCase)

OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X4080120160200SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.30, N = 3SE +/- 0.13, N = 3SE +/- 0.25, N = 3SE +/- 0.28, N = 3SE +/- 0.33, N = 3SE +/- 0.68, N = 3SE +/- 0.56, N = 3SE +/- 0.58, N = 3SE +/- 0.32, N = 3135.00138.0097.95106.00136.50143.20140.20142.40141.80167.00167.001. chrome 86.0.4240.75
OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X306090120150Min: 134 / Avg: 134.67 / Max: 135Min: 137 / Avg: 138 / Max: 139Min: 97.41 / Avg: 97.95 / Max: 98.44Min: 105.7 / Avg: 105.97 / Max: 106.1Min: 136.2 / Avg: 136.5 / Max: 137Min: 142.9 / Avg: 143.23 / Max: 143.8Min: 139.7 / Avg: 140.17 / Max: 140.8Min: 141 / Avg: 142.37 / Max: 143.1Min: 141 / Avg: 141.83 / Max: 142.9Min: 166 / Avg: 167 / Max: 168Min: 166.5 / Avg: 167.03 / Max: 167.61. chrome 86.0.4240.75

Benchmark: Speedometer - Browser: Google Chrome

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ERROR: test_untitled_test_case (__main__.UntitledTestCase)

OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X1020304050SE +/- 0.12, N = 3SE +/- 0.24, N = 3SE +/- 0.30, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.26, N = 3SE +/- 0.20, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 336.8035.2026.2829.0035.3336.5036.2036.3036.4044.8044.401. chrome 86.0.4240.75
OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X918273645Min: 36.6 / Avg: 36.8 / Max: 37Min: 34.9 / Avg: 35.23 / Max: 35.7Min: 25.7 / Avg: 26.28 / Max: 26.72Min: 28.8 / Avg: 29.03 / Max: 29.3Min: 35.2 / Avg: 35.33 / Max: 35.4Min: 36.4 / Avg: 36.47 / Max: 36.5Min: 35.9 / Avg: 36.2 / Max: 36.4Min: 35.8 / Avg: 36.3 / Max: 36.7Min: 36.1 / Avg: 36.43 / Max: 36.8Min: 44.6 / Avg: 44.8 / Max: 44.9Min: 44.2 / Avg: 44.37 / Max: 44.71. chrome 86.0.4240.75

Benchmark: StyleBench - Browser: Google Chrome

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ERROR: test_untitled_test_case (__main__.UntitledTestCase)

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: RotateCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X2004006008001000SE +/- 0.88, N = 3SE +/- 1.20, N = 3SE +/- 1.00, N = 3SE +/- 2.65, N = 3SE +/- 0.88, N = 3SE +/- 3.51, N = 3SE +/- 12.84, N = 3SE +/- 9.68, N = 3SE +/- 8.11, N = 3SE +/- 5.03, N = 3SE +/- 7.77, N = 386294562365775479476672679910561042934938-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux-pthread -ljbig -lwebp -lwebpmux1. (CC) gcc options: -fopenmp -O2 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: RotateCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X2004006008001000Min: 861 / Avg: 862.33 / Max: 864Min: 943 / Avg: 944.67 / Max: 947Min: 621 / Avg: 623 / Max: 624Min: 653 / Avg: 657 / Max: 662Min: 753 / Avg: 754.33 / Max: 756Min: 787 / Avg: 794 / Max: 798Min: 740 / Avg: 765.67 / Max: 779Min: 715 / Avg: 725.67 / Max: 745Min: 1027 / Avg: 1041.67 / Max: 1055Min: 924 / Avg: 934 / Max: 940Min: 927 / Avg: 938 / Max: 9531. (CC) gcc options: -fopenmp -O2 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X510152025SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.23, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.25, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 322.3721.0621.1920.0418.2617.3418.5217.4117.2415.6115.3713.35-lm1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X510152025Min: 22.37 / Avg: 22.37 / Max: 22.37Min: 21.03 / Avg: 21.06 / Max: 21.12Min: 21.18 / Avg: 21.19 / Max: 21.21Min: 19.79 / Avg: 20.04 / Max: 20.5Min: 18.12 / Avg: 18.26 / Max: 18.34Min: 17.09 / Avg: 17.34 / Max: 17.48Min: 18.5 / Avg: 18.52 / Max: 18.57Min: 16.99 / Avg: 17.41 / Max: 17.84Min: 17.12 / Avg: 17.24 / Max: 17.3Min: 15.57 / Avg: 15.61 / Max: 15.64Min: 15.26 / Avg: 15.37 / Max: 15.47Min: 13.3 / Avg: 13.35 / Max: 13.421. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

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.

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X4080120160200SE +/- 1.02, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.44, N = 3SE +/- 0.55, N = 3SE +/- 0.58, N = 3SE +/- 0.54, N = 3SE +/- 0.80, N = 3SE +/- 0.12, N = 3SE +/- 0.57, N = 3SE +/- 0.77, N = 3153.24163.68114.18125.80148.98155.62151.42152.93152.15188.92187.721. chrome 86.0.4240.75
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X306090120150Min: 151.43 / Avg: 153.24 / Max: 154.95Min: 162.77 / Avg: 163.68 / Max: 164.75Min: 113.69 / Avg: 114.18 / Max: 114.81Min: 125.05 / Avg: 125.8 / Max: 126.58Min: 148.17 / Avg: 148.98 / Max: 150.03Min: 154.52 / Avg: 155.62 / Max: 156.48Min: 150.35 / Avg: 151.42 / Max: 152.04Min: 151.85 / Avg: 152.93 / Max: 154.49Min: 151.91 / Avg: 152.15 / Max: 152.32Min: 187.79 / Avg: 188.92 / Max: 189.58Min: 186.21 / Avg: 187.72 / Max: 188.711. chrome 86.0.4240.75

Benchmark: Jetstream 2 - Browser: Google Chrome

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ERROR: test_untitled_test_case (__main__.UntitledTestCase)

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.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X2004006008001000SE +/- 1.67, N = 3SE +/- 9.53, N = 3SE +/- 2.96, N = 3SE +/- 1.86, N = 3SE +/- 5.81, N = 3SE +/- 14.81, N = 3SE +/- 3.48, N = 3SE +/- 11.59, N = 3SE +/- 6.36, N = 3SE +/- 4.04, N = 3SE +/- 4.04, N = 382077311591062888871888866876730718702
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X2004006008001000Min: 818 / Avg: 819.67 / Max: 823Min: 1145 / Avg: 1158.67 / Max: 1177Min: 1056 / Avg: 1061.67 / Max: 1066Min: 886 / Avg: 888.33 / Max: 892Min: 862 / Avg: 871.33 / Max: 882Min: 860 / Avg: 888.33 / Max: 910Min: 860 / Avg: 865.67 / Max: 872Min: 862 / Avg: 876 / Max: 899Min: 719 / Avg: 730.33 / Max: 741Min: 710 / Avg: 718 / Max: 723Min: 694 / Avg: 702 / Max: 707

Montage Astronomical Image Mosaic Engine

Montage is an open-source astronomical image mosaic engine. This BSD-licensed astronomy software is developed by the California Institute of Technology, Pasadena. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMontage Astronomical Image Mosaic Engine 6.0Mosaic of M17, K band, 1.5 deg x 1.5 degCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X20406080100SE +/- 0.11, N = 3SE +/- 0.18, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.30, N = 3SE +/- 0.50, N = 3SE +/- 0.79, N = 3SE +/- 0.04, N = 3SE +/- 0.34, N = 3SE +/- 0.53, N = 3SE +/- 0.17, N = 370.2866.3794.1288.0172.0969.1971.6268.8969.7057.3657.721. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2
OpenBenchmarking.orgSeconds, Fewer Is BetterMontage Astronomical Image Mosaic Engine 6.0Mosaic of M17, K band, 1.5 deg x 1.5 degCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X20406080100Min: 70.09 / Avg: 70.28 / Max: 70.45Min: 66.19 / Avg: 66.37 / Max: 66.73Min: 94.09 / Avg: 94.12 / Max: 94.14Min: 87.78 / Avg: 88.01 / Max: 88.14Min: 71.55 / Avg: 72.09 / Max: 72.61Min: 68.2 / Avg: 69.19 / Max: 69.71Min: 70.29 / Avg: 71.62 / Max: 73.01Min: 68.85 / Avg: 68.89 / Max: 68.96Min: 69.28 / Avg: 69.7 / Max: 70.37Min: 56.33 / Avg: 57.35 / Max: 58.1Min: 57.4 / Avg: 57.72 / Max: 57.991. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2

Mosaic of M17, K band, 1.5 deg x 1.5 deg

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: montage: line 43: mViewer: command not found

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X70140210280350SE +/- 0.14, N = 3SE +/- 1.24, N = 3SE +/- 0.40, N = 3SE +/- 0.39, N = 3SE +/- 0.19, N = 3SE +/- 2.89, N = 3SE +/- 0.28, N = 3SE +/- 0.84, N = 3SE +/- 0.44, N = 3SE +/- 1.79, N = 3SE +/- 1.61, N = 3SE +/- 0.15, N = 3294.97282.65300.34282.94257.80246.79256.34255.51258.83227.29228.34183.73MIN: 294.25 / MAX: 296.33MIN: 278.48 / MAX: 286.84MIN: 287.66 / MAX: 320.52MIN: 268.15 / MAX: 299.88MIN: 253.88 / MAX: 275.98MIN: 240.1 / MAX: 270.64MIN: 249.57 / MAX: 278.25MIN: 242.62 / MAX: 276.95MIN: 245.84 / MAX: 277.3MIN: 221.13 / MAX: 240.21MIN: 221.95 / MAX: 262.93MIN: 182.14 / MAX: 189.131. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X50100150200250Min: 294.68 / Avg: 294.97 / Max: 295.13Min: 280.25 / Avg: 282.64 / Max: 284.42Min: 299.58 / Avg: 300.34 / Max: 300.91Min: 282.4 / Avg: 282.94 / Max: 283.71Min: 257.44 / Avg: 257.8 / Max: 258.07Min: 241.03 / Avg: 246.79 / Max: 250.07Min: 255.81 / Avg: 256.34 / Max: 256.77Min: 254.32 / Avg: 255.51 / Max: 257.12Min: 257.95 / Avg: 258.83 / Max: 259.38Min: 223.89 / Avg: 227.29 / Max: 229.97Min: 225.34 / Avg: 228.34 / Max: 230.86Min: 183.53 / Avg: 183.73 / Max: 184.021. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X2004006008001000SE +/- 4.28, N = 3SE +/- 3.99, N = 3SE +/- 4.02, N = 3SE +/- 3.45, N = 3SE +/- 1.07, N = 3SE +/- 2.82, N = 3SE +/- 6.66, N = 3SE +/- 3.42, N = 3SE +/- 2.40, N = 3SE +/- 4.52, N = 3SE +/- 3.47, N = 3757.0754.9953.1878.4721.3686.9715.3705.8700.5589.9590.11. chrome 86.0.4240.75
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X2004006008001000Min: 750.8 / Avg: 757 / Max: 765.2Min: 747.2 / Avg: 754.87 / Max: 760.6Min: 946.4 / Avg: 953.1 / Max: 960.3Min: 871.5 / Avg: 878.37 / Max: 882.4Min: 719.5 / Avg: 721.3 / Max: 723.2Min: 681.3 / Avg: 686.93 / Max: 689.9Min: 703.3 / Avg: 715.3 / Max: 726.3Min: 701.3 / Avg: 705.8 / Max: 712.5Min: 695.7 / Avg: 700.47 / Max: 703.4Min: 581.2 / Avg: 589.87 / Max: 596.4Min: 584.2 / Avg: 590.07 / Max: 596.21. chrome 86.0.4240.75

Benchmark: Kraken - Browser: Google Chrome

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ERROR: test_untitled_test_case (__main__.UntitledTestCase)

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: FirefoxCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X100200300400500SE +/- 0.19, N = 3SE +/- 3.03, N = 3SE +/- 2.09, N = 3SE +/- 4.23, N = 3SE +/- 1.70, N = 3SE +/- 1.95, N = 3SE +/- 5.47, N = 3SE +/- 2.91, N = 3SE +/- 0.71, N = 3SE +/- 4.99, N = 3SE +/- 4.25, N = 3450.8419.1468.8438.5367.7347.7369.6360.7362.2291.4297.71. firefox 81.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: FirefoxCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X80160240320400Min: 450.4 / Avg: 450.77 / Max: 451Min: 416 / Avg: 419.13 / Max: 425.2Min: 465 / Avg: 468.77 / Max: 472.2Min: 432.4 / Avg: 438.47 / Max: 446.6Min: 364.3 / Avg: 367.67 / Max: 369.8Min: 345.7 / Avg: 347.7 / Max: 351.6Min: 360.5 / Avg: 369.57 / Max: 379.4Min: 355 / Avg: 360.7 / Max: 364.6Min: 360.9 / Avg: 362.23 / Max: 363.3Min: 282.1 / Avg: 291.4 / Max: 299.2Min: 289.3 / Avg: 297.73 / Max: 302.81. firefox 81.0

Benchmark: WASM collisionDetection - Browser: Firefox

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ERROR: test_untitled_test_case (__main__.UntitledTestCase)

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X60120180240300SE +/- 0.10, N = 3SE +/- 3.74, N = 3SE +/- 0.44, N = 3SE +/- 0.38, N = 3SE +/- 0.65, N = 3SE +/- 1.57, N = 3SE +/- 0.80, N = 3SE +/- 2.02, N = 12SE +/- 0.29, N = 3SE +/- 0.54, N = 3SE +/- 0.24, N = 3SE +/- 0.15, N = 3278.41261.56278.62260.66240.28231.37235.52236.45240.34215.55213.84178.46MIN: 278.09 / MAX: 284.76MIN: 253.09 / MAX: 270.4MIN: 276.97 / MAX: 280.86MIN: 259.28 / MAX: 263.02MIN: 237.48 / MAX: 242.43MIN: 228.01 / MAX: 242MIN: 233.06 / MAX: 238.56MIN: 224.41 / MAX: 244.45MIN: 239.2 / MAX: 249.7MIN: 214.45 / MAX: 216.73MIN: 213.22 / MAX: 214.97MIN: 177.97 / MAX: 179.111. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X50100150200250Min: 278.29 / Avg: 278.41 / Max: 278.62Min: 254.18 / Avg: 261.56 / Max: 266.29Min: 277.76 / Avg: 278.62 / Max: 279.18Min: 260.08 / Avg: 260.66 / Max: 261.37Min: 239.15 / Avg: 240.27 / Max: 241.4Min: 228.28 / Avg: 231.37 / Max: 233.37Min: 233.92 / Avg: 235.52 / Max: 236.38Min: 224.85 / Avg: 236.45 / Max: 242.78Min: 239.79 / Avg: 240.34 / Max: 240.75Min: 214.61 / Avg: 215.55 / Max: 216.49Min: 213.38 / Avg: 213.84 / Max: 214.2Min: 178.29 / Avg: 178.46 / Max: 178.761. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Perl Benchmarks

Perl benchmark suite that can be used to compare the relative speed of different versions of perl. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: InterpreterCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X0.00020.00040.00060.00080.001SE +/- 0.00000106, N = 3SE +/- 0.00000313, N = 3SE +/- 0.00000511, N = 3SE +/- 0.00000413, N = 3SE +/- 0.00000757, N = 3SE +/- 0.00001084, N = 3SE +/- 0.00000316, N = 3SE +/- 0.00000610, N = 15SE +/- 0.00000624, N = 13SE +/- 0.00000408, N = 3SE +/- 0.00001012, N = 3SE +/- 0.00000078, N = 30.000732810.000702280.001008300.000884590.000735480.000699960.000749990.000753640.000768620.000650210.000649730.00064608
OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: InterpreterCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X12345Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X30K60K90K120K150KSE +/- 179.78, N = 3SE +/- 271.18, N = 3SE +/- 104.94, N = 3SE +/- 105.66, N = 3SE +/- 328.34, N = 3SE +/- 989.81, N = 8SE +/- 97.95, N = 3SE +/- 46.94, N = 3SE +/- 37.78, N = 3SE +/- 478.94, N = 3SE +/- 473.56, N = 38958475313117470108344975879612910735610580310561778347809241. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X20K40K60K80K100KMin: 89393 / Avg: 89583.67 / Max: 89943Min: 74772 / Avg: 75312.67 / Max: 75620Min: 117274 / Avg: 117470 / Max: 117633Min: 108160 / Avg: 108344 / Max: 108526Min: 96931 / Avg: 97587 / Max: 97941Min: 94688 / Avg: 96129.38 / Max: 103031Min: 107245 / Avg: 107355.67 / Max: 107551Min: 105718 / Avg: 105803 / Max: 105880Min: 105548 / Avg: 105617.33 / Max: 105678Min: 77422 / Avg: 78347 / Max: 79025Min: 79992 / Avg: 80924 / Max: 815361. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Model: AlexNet - Acceleration: CPU - Iterations: 200

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X246810SE +/- 0.031, N = 5SE +/- 0.012, N = 5SE +/- 0.023, N = 5SE +/- 0.019, N = 5SE +/- 0.020, N = 5SE +/- 0.057, N = 5SE +/- 0.031, N = 5SE +/- 0.045, N = 5SE +/- 0.045, N = 5SE +/- 0.045, N = 5SE +/- 0.034, N = 56.1905.8977.9277.5206.5736.4846.7556.5956.4695.1935.180
OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X3691215Min: 6.16 / Avg: 6.19 / Max: 6.31Min: 5.87 / Avg: 5.9 / Max: 5.94Min: 7.88 / Avg: 7.93 / Max: 8Min: 7.47 / Avg: 7.52 / Max: 7.59Min: 6.52 / Avg: 6.57 / Max: 6.63Min: 6.35 / Avg: 6.48 / Max: 6.69Min: 6.67 / Avg: 6.75 / Max: 6.84Min: 6.44 / Avg: 6.6 / Max: 6.72Min: 6.31 / Avg: 6.47 / Max: 6.57Min: 5.05 / Avg: 5.19 / Max: 5.34Min: 5.08 / Avg: 5.18 / Max: 5.29

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: rotateCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X48121620SE +/- 0.009, N = 3SE +/- 0.022, N = 3SE +/- 0.047, N = 3SE +/- 0.006, N = 3SE +/- 0.015, N = 3SE +/- 0.026, N = 3SE +/- 0.004, N = 3SE +/- 0.076, N = 3SE +/- 0.069, N = 3SE +/- 0.036, N = 3SE +/- 0.033, N = 310.81810.40414.22012.83811.13010.81111.14511.11611.2659.3209.431
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: rotateCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X48121620Min: 10.8 / Avg: 10.82 / Max: 10.83Min: 10.38 / Avg: 10.4 / Max: 10.45Min: 14.15 / Avg: 14.22 / Max: 14.31Min: 12.83 / Avg: 12.84 / Max: 12.84Min: 11.1 / Avg: 11.13 / Max: 11.15Min: 10.78 / Avg: 10.81 / Max: 10.86Min: 11.14 / Avg: 11.14 / Max: 11.15Min: 10.97 / Avg: 11.12 / Max: 11.23Min: 11.13 / Avg: 11.27 / Max: 11.34Min: 9.26 / Avg: 9.32 / Max: 9.38Min: 9.36 / Avg: 9.43 / Max: 9.46

Tesseract OCR

Tesseract-OCR is the open-source optical character recognition (OCR) engine for the conversion of text within images to raw text output. This test profile relies upon a system-supplied Tesseract installation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X714212835SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 320.3519.1729.1426.8222.6221.7523.0723.0022.7419.3819.35
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X612182430Min: 20.32 / Avg: 20.35 / Max: 20.37Min: 19.14 / Avg: 19.17 / Max: 19.24Min: 29.05 / Avg: 29.14 / Max: 29.29Min: 26.67 / Avg: 26.82 / Max: 26.91Min: 22.54 / Avg: 22.62 / Max: 22.76Min: 21.61 / Avg: 21.75 / Max: 22.02Min: 22.93 / Avg: 23.07 / Max: 23.24Min: 22.98 / Avg: 23 / Max: 23.04Min: 22.66 / Avg: 22.74 / Max: 22.82Min: 19.18 / Avg: 19.38 / Max: 19.52Min: 19.12 / Avg: 19.35 / Max: 19.59

ctx_clock

Ctx_clock is a simple test program to measure the context switch time in clock cycles. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X4080120160200SE +/- 0.67, N = 3SE +/- 2.00, N = 3SE +/- 4.79, N = 15SE +/- 0.00, N = 3178150204180190156190177175148136180
OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X4080120160200Min: 177 / Avg: 178.33 / Max: 179Min: 146 / Avg: 150 / Max: 152Min: 152 / Avg: 177.33 / Max: 190Min: 180 / Avg: 180 / Max: 180

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X60K120K180K240K300KSE +/- 166.99, N = 3SE +/- 174.69, N = 3SE +/- 384.97, N = 3SE +/- 584.46, N = 3SE +/- 1054.43, N = 3SE +/- 142.32, N = 3SE +/- 477.83, N = 3SE +/- 462.71, N = 3SE +/- 702.33, N = 3SE +/- 437.17, N = 3SE +/- 392.51, N = 32316831960742936832691132379082344402627382589722651312006762142391. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X50K100K150K200K250KMin: 231479 / Avg: 231683 / Max: 232014Min: 195812 / Avg: 196073.67 / Max: 196405Min: 292933 / Avg: 293683.33 / Max: 294208Min: 268060 / Avg: 269113 / Max: 270079Min: 236225 / Avg: 237908 / Max: 239850Min: 234219 / Avg: 234440.33 / Max: 234706Min: 262077 / Avg: 262737.67 / Max: 263666Min: 258200 / Avg: 258972.33 / Max: 259800Min: 263790 / Avg: 265130.67 / Max: 266164Min: 199929 / Avg: 200676 / Max: 201443Min: 213742 / Avg: 214239.33 / Max: 2150141. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Model: GoogleNet - Acceleration: CPU - Iterations: 200

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X48121620SE +/- 0.093, N = 15SE +/- 0.014, N = 3SE +/- 0.008, N = 3SE +/- 0.026, N = 3SE +/- 0.007, N = 3SE +/- 0.011, N = 3SE +/- 0.019, N = 3SE +/- 0.031, N = 3SE +/- 0.018, N = 3SE +/- 0.007, N = 3SE +/- 0.026, N = 311.20310.44214.81213.45311.59011.23911.91611.87612.2509.91510.314
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X48121620Min: 11 / Avg: 11.2 / Max: 11.93Min: 10.42 / Avg: 10.44 / Max: 10.47Min: 14.8 / Avg: 14.81 / Max: 14.83Min: 13.4 / Avg: 13.45 / Max: 13.49Min: 11.58 / Avg: 11.59 / Max: 11.6Min: 11.23 / Avg: 11.24 / Max: 11.26Min: 11.89 / Avg: 11.92 / Max: 11.95Min: 11.84 / Avg: 11.88 / Max: 11.94Min: 12.21 / Avg: 12.25 / Max: 12.27Min: 9.9 / Avg: 9.91 / Max: 9.92Min: 10.26 / Avg: 10.31 / Max: 10.35

Botan

Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X4080120160200SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.63, N = 3SE +/- 0.09, N = 3SE +/- 0.49, N = 3SE +/- 0.21, N = 3SE +/- 2.75, N = 3SE +/- 0.25, N = 3SE +/- 0.60, N = 3SE +/- 0.37, N = 3SE +/- 1.78, N = 3SE +/- 0.02, N = 3165.64176.07137.69148.86157.47168.05162.65159.83157.12173.79177.01197.23204.141. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X4080120160200Min: 165.59 / Avg: 165.64 / Max: 165.7Min: 176.02 / Avg: 176.07 / Max: 176.12Min: 137.64 / Avg: 137.69 / Max: 137.72Min: 148.19 / Avg: 148.86 / Max: 150.11Min: 157.35 / Avg: 157.47 / Max: 157.64Min: 167.52 / Avg: 168.04 / Max: 169.02Min: 162.35 / Avg: 162.65 / Max: 163.05Min: 157.08 / Avg: 159.83 / Max: 165.33Min: 156.82 / Avg: 157.12 / Max: 157.62Min: 172.74 / Avg: 173.79 / Max: 174.83Min: 176.28 / Avg: 177.01 / Max: 177.38Min: 195.04 / Avg: 197.23 / Max: 200.76Min: 204.1 / Avg: 204.14 / Max: 204.181. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X246810SE +/- 0.011, N = 3SE +/- 0.048, N = 3SE +/- 0.032, N = 3SE +/- 0.048, N = 3SE +/- 0.012, N = 3SE +/- 0.034, N = 3SE +/- 0.023, N = 3SE +/- 0.032, N = 3SE +/- 0.013, N = 3SE +/- 0.053, N = 3SE +/- 0.032, N = 3SE +/- 0.012, N = 35.6395.3116.7696.2005.5285.2385.5505.4565.4994.5934.6414.852
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X3691215Min: 5.62 / Avg: 5.64 / Max: 5.66Min: 5.22 / Avg: 5.31 / Max: 5.38Min: 6.73 / Avg: 6.77 / Max: 6.83Min: 6.1 / Avg: 6.2 / Max: 6.25Min: 5.51 / Avg: 5.53 / Max: 5.55Min: 5.18 / Avg: 5.24 / Max: 5.3Min: 5.51 / Avg: 5.55 / Max: 5.59Min: 5.4 / Avg: 5.46 / Max: 5.51Min: 5.47 / Avg: 5.5 / Max: 5.51Min: 4.53 / Avg: 4.59 / Max: 4.7Min: 4.61 / Avg: 4.64 / Max: 4.7Min: 4.83 / Avg: 4.85 / Max: 4.87

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.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X80160240320400SE +/- 0.44, N = 3SE +/- 2.33, N = 3SE +/- 0.32, N = 3SE +/- 0.64, N = 3SE +/- 1.93, N = 3SE +/- 1.54, N = 3SE +/- 4.54, N = 3SE +/- 2.39, N = 3SE +/- 1.69, N = 3SE +/- 1.47, N = 3SE +/- 0.81, N = 3368.44340.68360.75334.70285.66270.45280.25270.84280.03253.65254.151. chrome 86.0.4240.75
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X70140210280350Min: 367.57 / Avg: 368.44 / Max: 368.92Min: 338.01 / Avg: 340.68 / Max: 345.32Min: 360.38 / Avg: 360.75 / Max: 361.38Min: 333.44 / Avg: 334.7 / Max: 335.42Min: 281.8 / Avg: 285.66 / Max: 287.63Min: 268.72 / Avg: 270.45 / Max: 273.53Min: 274.7 / Avg: 280.25 / Max: 289.24Min: 266.07 / Avg: 270.84 / Max: 273.34Min: 276.69 / Avg: 280.03 / Max: 282.11Min: 251.19 / Avg: 253.65 / Max: 256.26Min: 252.97 / Avg: 254.15 / Max: 255.71. chrome 86.0.4240.75

Benchmark: WASM collisionDetection - Browser: Google Chrome

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ERROR: test_untitled_test_case (__main__.UntitledTestCase)

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X306090120150SE +/- 1.47, N = 4SE +/- 1.49, N = 3SE +/- 0.34, N = 3SE +/- 0.16, N = 3SE +/- 0.64, N = 3SE +/- 1.14, N = 3SE +/- 0.62, N = 3SE +/- 1.43, N = 3SE +/- 0.23, N = 3SE +/- 0.95, N = 3SE +/- 0.97, N = 3106.60113.6981.6089.87105.77107.56105.14107.15105.02117.14117.721. firefox 81.0
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X20406080100Min: 102.54 / Avg: 106.6 / Max: 109.49Min: 111.87 / Avg: 113.69 / Max: 116.65Min: 81.05 / Avg: 81.6 / Max: 82.22Min: 89.64 / Avg: 89.87 / Max: 90.19Min: 104.74 / Avg: 105.77 / Max: 106.94Min: 105.86 / Avg: 107.56 / Max: 109.72Min: 104.34 / Avg: 105.14 / Max: 106.37Min: 105.16 / Avg: 107.15 / Max: 109.91Min: 104.6 / Avg: 105.02 / Max: 105.38Min: 115.49 / Avg: 117.14 / Max: 118.79Min: 116.59 / Avg: 117.72 / Max: 119.641. firefox 81.0

Benchmark: Jetstream 2 - Browser: Firefox

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ERROR: test_untitled_test_case (__main__.UntitledTestCase)

Botan

Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: TwofishCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X110220330440550SE +/- 0.12, N = 3SE +/- 0.30, N = 3SE +/- 0.36, N = 3SE +/- 1.82, N = 3SE +/- 1.90, N = 3SE +/- 4.92, N = 3SE +/- 0.11, N = 3SE +/- 0.67, N = 3SE +/- 3.56, N = 3SE +/- 0.97, N = 3SE +/- 0.69, N = 3SE +/- 2.16, N = 3SE +/- 7.31, N = 12420.58446.45343.93370.26390.47411.27403.65393.72400.12461.36465.90476.45495.451. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: TwofishCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X90180270360450Min: 420.43 / Avg: 420.58 / Max: 420.82Min: 445.96 / Avg: 446.45 / Max: 446.98Min: 343.22 / Avg: 343.93 / Max: 344.39Min: 368.35 / Avg: 370.26 / Max: 373.9Min: 387.81 / Avg: 390.47 / Max: 394.15Min: 406.22 / Avg: 411.27 / Max: 421.1Min: 403.43 / Avg: 403.65 / Max: 403.79Min: 393.03 / Avg: 393.72 / Max: 395.06Min: 396.51 / Avg: 400.12 / Max: 407.23Min: 459.43 / Avg: 461.36 / Max: 462.4Min: 464.84 / Avg: 465.9 / Max: 467.2Min: 473.73 / Avg: 476.45 / Max: 480.72Min: 416.27 / Avg: 495.45 / Max: 505.341. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X1020304050SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.23, N = 335.1032.3644.1240.6838.5536.4637.4637.1937.2330.8830.8534.46
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950X918273645Min: 35.08 / Avg: 35.09 / Max: 35.11Min: 32.15 / Avg: 32.35 / Max: 32.55Min: 44.05 / Avg: 44.12 / Max: 44.18Min: 40.65 / Avg: 40.68 / Max: 40.7Min: 38.49 / Avg: 38.55 / Max: 38.61Min: 36.36 / Avg: 36.46 / Max: 36.54Min: 37.37 / Avg: 37.46 / Max: 37.58Min: 36.9 / Avg: 37.19 / Max: 37.41Min: 37.07 / Avg: 37.23 / Max: 37.35Min: 30.85 / Avg: 30.88 / Max: 30.96Min: 30.81 / Avg: 30.85 / Max: 30.88Min: 34.01 / Avg: 34.46 / Max: 34.7

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.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X2004006008001000SE +/- 2.60, N = 3SE +/- 2.78, N = 3SE +/- 8.29, N = 3SE +/- 5.26, N = 3SE +/- 2.86, N = 3SE +/- 1.77, N = 3SE +/- 5.46, N = 3SE +/- 2.56, N = 3SE +/- 6.74, N = 3SE +/- 1.65, N = 3SE +/- 4.47, N = 3745.5709.4940.0856.8737.2708.1745.9714.9731.0663.0673.11. firefox 81.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X160320480640800Min: 740.4 / Avg: 745.5 / Max: 748.9Min: 704.4 / Avg: 709.43 / Max: 714Min: 925.5 / Avg: 940.03 / Max: 954.2Min: 846.5 / Avg: 856.8 / Max: 863.8Min: 733.9 / Avg: 737.2 / Max: 742.9Min: 704.6 / Avg: 708.07 / Max: 710.4Min: 735.9 / Avg: 745.87 / Max: 754.7Min: 711.1 / Avg: 714.93 / Max: 719.8Min: 723.8 / Avg: 731.03 / Max: 744.5Min: 661.2 / Avg: 663 / Max: 666.3Min: 664.9 / Avg: 673.07 / Max: 680.31. firefox 81.0

Benchmark: Kraken - Browser: Firefox

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ERROR: test_untitled_test_case (__main__.UntitledTestCase)

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X816243240SE +/- 0.11, N = 3SE +/- 0.42, N = 3SE +/- 0.11, N = 3SE +/- 0.28, N = 3SE +/- 0.18, N = 3SE +/- 0.24, N = 3SE +/- 0.06, N = 3SE +/- 0.36, N = 4SE +/- 0.20, N = 3SE +/- 0.34, N = 3SE +/- 0.33, N = 329.4227.7534.0832.3527.9026.4628.5027.0927.3224.2424.571. chrome 86.0.4240.75
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X714212835Min: 29.29 / Avg: 29.42 / Max: 29.63Min: 26.96 / Avg: 27.75 / Max: 28.41Min: 33.86 / Avg: 34.08 / Max: 34.21Min: 31.8 / Avg: 32.35 / Max: 32.68Min: 27.54 / Avg: 27.9 / Max: 28.09Min: 26.01 / Avg: 26.46 / Max: 26.82Min: 28.39 / Avg: 28.5 / Max: 28.59Min: 26.02 / Avg: 27.09 / Max: 27.53Min: 26.94 / Avg: 27.32 / Max: 27.63Min: 23.74 / Avg: 24.24 / Max: 24.89Min: 23.93 / Avg: 24.57 / Max: 251. chrome 86.0.4240.75

Benchmark: WASM imageConvolute - Browser: Google Chrome

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ERROR: test_untitled_test_case (__main__.UntitledTestCase)

Botan

Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: BlowfishCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X130260390520650SE +/- 0.37, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.88, N = 3SE +/- 3.10, N = 3SE +/- 3.75, N = 3SE +/- 0.08, N = 3SE +/- 6.64, N = 3SE +/- 5.13, N = 3SE +/- 0.24, N = 3SE +/- 0.54, N = 3SE +/- 2.50, N = 3SE +/- 0.24, N = 3523.67556.85420.79455.95480.70499.69492.74488.01501.99548.75550.63569.56586.941. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: BlowfishCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X100200300400500Min: 522.94 / Avg: 523.67 / Max: 524.09Min: 556.67 / Avg: 556.85 / Max: 557.08Min: 420.53 / Avg: 420.79 / Max: 421Min: 454.19 / Avg: 455.95 / Max: 456.95Min: 474.5 / Avg: 480.7 / Max: 483.92Min: 495.53 / Avg: 499.69 / Max: 507.18Min: 492.57 / Avg: 492.74 / Max: 492.82Min: 480.05 / Avg: 488.01 / Max: 501.19Min: 495.84 / Avg: 501.99 / Max: 512.17Min: 548.47 / Avg: 548.75 / Max: 549.23Min: 549.98 / Avg: 550.63 / Max: 551.7Min: 567 / Avg: 569.56 / Max: 574.56Min: 586.53 / Avg: 586.94 / Max: 587.351. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.14, N = 3SE +/- 0.22, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.21, N = 322.3820.3621.8220.1519.1018.4318.7918.9019.1316.4816.17
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X510152025Min: 22.36 / Avg: 22.38 / Max: 22.4Min: 20.35 / Avg: 20.36 / Max: 20.37Min: 21.64 / Avg: 21.82 / Max: 22.04Min: 20.07 / Avg: 20.15 / Max: 20.25Min: 19.02 / Avg: 19.1 / Max: 19.24Min: 18.27 / Avg: 18.43 / Max: 18.51Min: 18.64 / Avg: 18.79 / Max: 19.07Min: 18.47 / Avg: 18.9 / Max: 19.21Min: 19 / Avg: 19.13 / Max: 19.29Min: 16.42 / Avg: 16.48 / Max: 16.6Min: 15.81 / Avg: 16.17 / Max: 16.54

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.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: FirefoxCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X816243240SE +/- 0.17, N = 3SE +/- 0.12, N = 3SE +/- 0.44, N = 3SE +/- 0.32, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.17, N = 3SE +/- 0.15, N = 3SE +/- 0.07, N = 3SE +/- 0.30, N = 3SE +/- 0.09, N = 329.026.833.230.827.025.426.726.226.924.124.11. firefox 81.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: FirefoxCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X714212835Min: 28.7 / Avg: 29.03 / Max: 29.2Min: 26.6 / Avg: 26.77 / Max: 27Min: 32.4 / Avg: 33.2 / Max: 33.9Min: 30.2 / Avg: 30.8 / Max: 31.3Min: 26.8 / Avg: 26.97 / Max: 27.1Min: 25.2 / Avg: 25.4 / Max: 25.7Min: 26.4 / Avg: 26.7 / Max: 27Min: 26 / Avg: 26.2 / Max: 26.5Min: 26.8 / Avg: 26.93 / Max: 27Min: 23.7 / Avg: 24.13 / Max: 24.7Min: 24 / Avg: 24.13 / Max: 24.31. firefox 81.0

Benchmark: WASM imageConvolute - Browser: Firefox

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ERROR: test_untitled_test_case (__main__.UntitledTestCase)

OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: FirefoxCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X1.23752.4753.71254.956.1875SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 45.45.55.25.04.44.34.44.44.54.34.41. firefox 81.0
OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: FirefoxCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X246810Min: 5.3 / Avg: 5.37 / Max: 5.4Min: 5.5 / Avg: 5.5 / Max: 5.5Min: 5.1 / Avg: 5.17 / Max: 5.2Min: 4.9 / Avg: 4.97 / Max: 5Min: 4.3 / Avg: 4.37 / Max: 4.4Min: 4.3 / Avg: 4.33 / Max: 4.4Min: 4.3 / Avg: 4.37 / Max: 4.4Min: 4.4 / Avg: 4.4 / Max: 4.4Min: 4.4 / Avg: 4.47 / Max: 4.5Min: 4.2 / Avg: 4.3 / Max: 4.4Min: 4.2 / Avg: 4.35 / Max: 4.51. firefox 81.0

Benchmark: Maze Solver - Browser: Firefox

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ERROR: test_untitled_test_case (__main__.UntitledTestCase)

OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X1.14752.2953.44254.595.7375SE +/- 0.03, N = 3SE +/- 0.05, N = 9SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 35.15.05.04.64.24.24.24.24.34.04.01. chrome 86.0.4240.75
OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: Google ChromeCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X246810Min: 5.1 / Avg: 5.13 / Max: 5.2Min: 4.8 / Avg: 5 / Max: 5.2Min: 4.5 / Avg: 4.57 / Max: 4.6Min: 4.2 / Avg: 4.23 / Max: 4.3Min: 4.1 / Avg: 4.17 / Max: 4.2Min: 4.2 / Avg: 4.23 / Max: 4.3Min: 4.2 / Avg: 4.23 / Max: 4.3Min: 4.2 / Avg: 4.27 / Max: 4.3Min: 3.9 / Avg: 3.97 / Max: 41. chrome 86.0.4240.75

Benchmark: Maze Solver - Browser: Google Chrome

Ryzen 9 7950X: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ERROR: test_untitled_test_case (__main__.UntitledTestCase)

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X20406080100SE +/- 0.06, N = 3SE +/- 0.21, N = 3SE +/- 1.19, N = 3SE +/- 1.02, N = 4SE +/- 0.04, N = 3SE +/- 0.57, N = 3SE +/- 0.81, N = 3SE +/- 0.44, N = 3SE +/- 0.24, N = 3SE +/- 0.70, N = 3SE +/- 0.86, N = 369.0162.6475.3472.4766.2566.4667.7968.1669.6460.4562.55
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaCore i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950X1428425670Min: 68.88 / Avg: 69.01 / Max: 69.09Min: 62.41 / Avg: 62.64 / Max: 63.06Min: 74.11 / Avg: 75.34 / Max: 77.72Min: 70.72 / Avg: 72.47 / Max: 75.35Min: 66.17 / Avg: 66.25 / Max: 66.29Min: 65.58 / Avg: 66.46 / Max: 67.52Min: 66.44 / Avg: 67.79 / Max: 69.25Min: 67.61 / Avg: 68.16 / Max: 69.03Min: 69.16 / Avg: 69.64 / Max: 69.94Min: 59.46 / Avg: 60.45 / Max: 61.8Min: 61.68 / Avg: 62.55 / Max: 64.26

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.32Test: auto-levelsRyzen 9 7950X3691215SE +/- 0.06, N = 310.43
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.32Test: auto-levelsRyzen 9 7950X3691215Min: 10.35 / Avg: 10.43 / Max: 10.56

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 6.4.0Ryzen 9 7950X0.99361.98722.98083.97444.968SE +/- 0.019, N = 54.416
OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 6.4.0Ryzen 9 7950X246810Min: 4.37 / Avg: 4.42 / Max: 4.48

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.32Test: rotateRyzen 9 7950X3691215SE +/- 0.045, N = 39.059
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.32Test: rotateRyzen 9 7950X3691215Min: 9 / Avg: 9.06 / Max: 9.15

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.32Test: resizeRyzen 9 7950X3691215SE +/- 0.06, N = 313.31
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.32Test: resizeRyzen 9 7950X48121620Min: 13.19 / Avg: 13.31 / Max: 13.37

Tesseract OCR

Tesseract-OCR is the open-source optical character recognition (OCR) engine for the conversion of text within images to raw text output. This test profile relies upon a system-supplied Tesseract installation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 5.0.1Time To OCR 7 ImagesRyzen 9 7950X48121620SE +/- 0.01, N = 316.33

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetRyzen 9 7950X246810SE +/- 0.05, N = 38.49MIN: 7.83 / MAX: 13.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Ryzen 9 7950X816243240SE +/- 0.20, N = 334.46MIN: 32.54 / MAX: 93.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceRyzen 9 7950X0.34650.6931.03951.3861.7325SE +/- 0.02, N = 31.54MIN: 1.42 / MAX: 2.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetRyzen 9 7950X0.8911.7822.6733.5644.455SE +/- 0.40, N = 33.96MIN: 3.34 / MAX: 5.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Ryzen 9 7950X0.94051.8812.82153.7624.7025SE +/- 0.40, N = 34.18MIN: 3.58 / MAX: 5.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OCRMyPDF

OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 13.7.0Processing 60 Page PDF DocumentRyzen 9 7950X246810SE +/- 1.079, N = 128.511
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 13.7.0Processing 60 Page PDF DocumentRyzen 9 7950X3691215Min: 7.14 / Avg: 8.51 / Max: 20.28

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X9001800270036004500SE +/- 43.74, N = 20SE +/- 51.94, N = 20SE +/- 40.19, N = 9SE +/- 38.38, N = 4SE +/- 37.27, N = 4SE +/- 25.42, N = 20SE +/- 39.66, N = 4SE +/- 36.35, N = 4SE +/- 29.79, N = 4SE +/- 12.57, N = 4SE +/- 29.09, N = 20SE +/- 29.75, N = 202778274740613559309029083130305032552656271217051588
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2Core i5 10600KCore i9 10900KRyzen 5 2600Ryzen 5 2600XRyzen 5 3600XRyzen 7 3800XTRyzen 9 3900XRyzen 9 3900XTRyzen 9 3950XRyzen 9 5900XRyzen 9 5950XRyzen 9 7950XRyzen 9 7900X7001400210028003500Min: 2413 / Avg: 2777.7 / Max: 3077Min: 2389 / Avg: 2747.2 / Max: 3290Min: 3876 / Avg: 4061.44 / Max: 4280Min: 3491 / Avg: 3559.25 / Max: 3669Min: 3003 / Avg: 3089.5 / Max: 3163Min: 2713 / Avg: 2908.05 / Max: 3195Min: 3040 / Avg: 3129.5 / Max: 3204Min: 3163 / Avg: 3254.5 / Max: 3338Min: 2581 / Avg: 2656 / Max: 2711Min: 2677 / Avg: 2711.75 / Max: 2733Min: 1491 / Avg: 1705.25 / Max: 1982Min: 1369 / Avg: 1587.95 / Max: 1843

228 Results Shown

Aircrack-ng
oneDNN:
  Deconvolution Batch deconv_3d - f32 - CPU
  Deconvolution Batch deconv_1d - f32 - CPU
SVT-AV1:
  Enc Mode 8 - 1080p
  Enc Mode 4 - 1080p
oneDNN:
  Recurrent Neural Network Training - f32 - CPU
  IP Batch 1D - f32 - CPU
Kvazaar
Embree
John The Ripper
Kvazaar
OpenVINO
oneDNN
OpenVINO
OpenVKL
Kvazaar:
  Bosphorus 4K - Ultra Fast
  Bosphorus 1080p - Medium
  Bosphorus 4K - Very Fast
OpenSSL
TSCP
Kvazaar
Chaos Group V-RAY
SVT-VP9
Blender
Kvazaar
Blender
Embree
Stockfish
Embree
x264
Tachyon
LuxCoreRender
Timed MPlayer Compilation
Timed FFmpeg Compilation
LuxCoreRender
asmFish
7-Zip Compression
Monte Carlo Simulations of Ionised Nebulae
NeatBench
Blender
Kvazaar
Smallpt
OpenVINO
SciMark
POV-Ray
OpenVINO
Basis Universal
Rodinia
OpenVINO
Sunflow Rendering System
OpenVINO
SVT-VP9
John The Ripper
NAMD
Appleseed
x265
Embree
Appleseed
GraphicsMagick
dav1d
BRL-CAD
Basis Universal
C-Ray
m-queens
N-Queens
dav1d
CloverLeaf
Zstd Compression
TensorFlow Lite:
  Mobilenet Float
  Inception ResNet V2
  Inception V4
Timed ImageMagick Compilation
TTSIOD 3D Renderer
TensorFlow Lite
FFTE
Rodinia
YafaRay
GraphicsMagick
libavif avifenc
TensorFlow Lite
Tungsten Renderer
libavif avifenc
ASTC Encoder
Zstd Compression
ASTC Encoder
Tungsten Renderer
LAMMPS Molecular Dynamics Simulator
Appleseed
Timed Linux Kernel Compilation
Tungsten Renderer
Timed LLVM Compilation
Numenta Anomaly Benchmark
SciMark
Rodinia
NCNN
dav1d
Polyhedron Fortran Benchmarks
NCNN
VP9 libvpx Encoding
Numpy Benchmark
GROMACS
Nebular Empirical Analysis Tool
Numenta Anomaly Benchmark
TensorFlow Lite
Mobile Neural Network:
  inception-v3
  SqueezeNetV1.0
Timed PHP Compilation
Numenta Anomaly Benchmark
LibRaw
Perl Benchmarks
OCRMyPDF
NCNN:
  CPU - yolov4-tiny
  CPU - resnet50
VP9 libvpx Encoding
DaCapo Benchmark
Timed Apache Compilation
Polyhedron Fortran Benchmarks
G'MIC
Crafty
Mobile Neural Network
NCNN
Mobile Neural Network
Radiance Benchmark
PyPerformance
Radiance Benchmark
Timed MAFFT Alignment
DaCapo Benchmark
PyPerformance
Numenta Anomaly Benchmark
WireGuard + Linux Networking Stack Stress Test
RawTherapee
Polyhedron Fortran Benchmarks
Timed MrBayes Analysis
C-Blosc
NCNN
SQLite Speedtest
PyPerformance
SciMark
GEGL
NCNN
BYTE Unix Benchmark
AOM AV1
WebP Image Encode
Basis Universal
Fhourstones
Basis Universal
Intel Open Image Denoise
ACES DGEMM
AOM AV1
PlaidML:
  No - Inference - ResNet 50 - CPU
  No - Inference - Inception V3 - CPU
Hierarchical INTegration
libavif avifenc
GEGL
WebP Image Encode
libjpeg-turbo tjbench
Tungsten Renderer
AOM AV1
NCNN
Dolfyn
LibreOffice
Timed GDB GNU Debugger Compilation
PyPerformance
NCNN
AOM AV1
libavif avifenc
SciMark
PlaidML
Rodinia
WebP Image Encode:
  Quality 100, Lossless
  Quality 100, Highest Compression
LAME MP3 Encoding
DeepSpeech
GEGL
WebP Image Encode
FLAC Audio Encoding
eSpeak-NG Speech Engine
PyPerformance
Inkscape
GEGL
GIMP
ASTC Encoder
Selenium:
  ARES-6 - Google Chrome
  Speedometer - Google Chrome
  StyleBench - Google Chrome
GraphicsMagick
RNNoise
Selenium
PyBench
Montage Astronomical Image Mosaic Engine
TNN
Selenium:
  Kraken - Google Chrome
  WASM collisionDetection - Firefox
TNN
Perl Benchmarks
Caffe
GNU Octave Benchmark
GIMP
Tesseract OCR
ctx_clock
Caffe
GIMP
Botan
GEGL
Selenium:
  WASM collisionDetection - Google Chrome
  Jetstream 2 - Firefox
Botan
GEGL
Selenium:
  Kraken - Firefox
  WASM imageConvolute - Google Chrome
Botan
Mlpack Benchmark
Selenium:
  WASM imageConvolute - Firefox
  Maze Solver - Firefox
  Maze Solver - Google Chrome
Mlpack Benchmark
GIMP
GNU Octave Benchmark
GIMP:
  rotate
  resize
Tesseract OCR
NCNN:
  CPU - alexnet
  CPU - vgg16
  CPU - blazeface
  CPU - mnasnet
  CPU - shufflenet-v2
OCRMyPDF
DaCapo Benchmark

Core i5 10600K

Processor: Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads), Motherboard: Gigabyte Z490 AORUS MASTER (F3 BIOS), Chipset: Intel Comet Lake PCH, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U

OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8 - Thermald 1.9.1
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18 + Python 3.8.5
Security Notes: itlb_multihit: KVM: Mitigation of VMX unsupported + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 1 November 2020 09:16 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: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U

OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18 + Python 3.8.5
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + 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 16 October 2020 21:33 by user phoronix.

Ryzen 5 2600

Processor: AMD Ryzen 5 2600 Six-Core @ 3.40GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS), Chipset: AMD 17h, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U

OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x800820d
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18 + Python 3.8.5
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 31 October 2020 11:19 by user phoronix.

Ryzen 5 2600X

Processor: AMD Ryzen 5 2600X Six-Core @ 3.60GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS), Chipset: AMD 17h, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U

OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x800820d
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18 + Python 3.8.5
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 30 October 2020 10:12 by user phoronix.

Ryzen 5 3600X

Processor: AMD Ryzen 5 3600X 6-Core @ 3.80GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U

OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18 + Python 3.8.5
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 29 October 2020 10:56 by user phoronix.

Ryzen 7 3800XT

Processor: AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U

OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18 + Python 3.8.5
Security 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 27 October 2020 16:13 by user phoronix.

Ryzen 9 3900X

Processor: AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U

OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18 + Python 3.8.5
Security 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 18 October 2020 14:22 by user phoronix.

Ryzen 9 3900XT

Processor: AMD Ryzen 9 3900XT 12-Core @ 3.80GHz (12 Cores / 24 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U

OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18 + Python 3.8.5
Security 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 17 October 2020 19:02 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) (2206 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U

OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18 + Python 3.8.5
Security 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 15 October 2020 14:23 by user phoronix.

Ryzen 9 5900X

Processor: AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U

OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18 + Python 3.8.5
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 19 October 2020 20:47 by user phoronix.

Ryzen 9 5950X

Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U

OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18 + Python 3.8.5
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 21 October 2020 21:08 by user phoronix.

Ryzen 9 7950X

Processor: AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (0604 BIOS), Chipset: AMD Device 14d8, Memory: 64GB, Disk: 2000GB Samsung SSD 980 PRO 2TB + 4 x 1000GB INTEL SSDPELKX010T8 + 16GB, Graphics: AMD Radeon RX 6950 XT 16GB, Audio: AMD Navi 21/23, Monitor: U28D590, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411

OS: Fedora Linux 36, Kernel: 6.0.0-0.rc5.20220914git3245cb65fd91.39.vanilla.1.fc36.x86_64 (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.20.9 + Wayland, OpenGL: 4.6 Mesa 22.1.7 (LLVM 14.0.0 DRM 3.48 6.0.0-0.rc5.20220914git3245cb65fd91.39.vanilla.1.fc36.x86_64), Compiler: GCC 12.2.1 20220819, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: Transparent Huge Pages: madvise
Environment Notes: DEBUGINFOD_URLS=https://debuginfod.fedoraproject.org/
Compiler Notes: --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,fortran,objc,obj-c++,ada,go,d,lto --enable-libstdcxx-backtrace --enable-link-serialization=1 --enable-multilib --enable-offload-defaulted --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=i686 --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver
Processor Notes: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203
Java Notes: OpenJDK Runtime Environment (Red_Hat-17.0.4.1.1-1.fc36) (build 17.0.4.1+1)
Python Notes: Python 3.10.6
Security Notes: SELinux + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 19 September 2022 14:10 by user w.

Ryzen 9 7900X

Processor: AMD Ryzen 9 7900X 12-Core @ 5.73GHz (12 Cores / 24 Threads), Motherboard: ASRock X670E Taichi (1.05.AS01 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: 4 x 1000GB INTEL SSDPELKX010T8 + 2000GB Samsung SSD 980 PRO 2TB + 16GB USB DISK 3.0, Graphics: AMD Radeon RX 6950 XT 16GB (2720/1124MHz), Audio: AMD Navi 21/23, Monitor: 27GN950, Network: Realtek Killer E3000 2.5GbE + Intel Wi-Fi 6 AX210/AX211/AX411

OS: Fedora Linux 36, Kernel: 6.0.0-0.rc5.20220914git3245cb65fd91.39.vanilla.1.fc36.x86_64 (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.20.9 + Wayland, OpenGL: 4.6 Mesa 22.1.7 (LLVM 14.0.0 DRM 3.48 6.0.0-0.rc5.20220914git3245cb65fd91.39.vanilla.1.fc36.x86_64), Compiler: GCC 12.2.1 20220819, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: Transparent Huge Pages: madvise
Environment Notes: DEBUGINFOD_URLS=https://debuginfod.fedoraproject.org/
Compiler Notes: --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,fortran,objc,obj-c++,ada,go,d,lto --enable-libstdcxx-backtrace --enable-link-serialization=1 --enable-multilib --enable-offload-defaulted --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=i686 --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver
Processor Notes: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601201
Java Notes: OpenJDK Runtime Environment (Red_Hat-17.0.4.1.1-1.fc36) (build 17.0.4.1+1)
Python Notes: Python 3.10.6
Security Notes: SELinux + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 21 September 2022 20:58 by user w.