Ubuntu 20.10 Devel

Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and NVIDIA NV132 11GB on openSUSE Tumbleweed 20200929 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2010023-FI-2010015FI16
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AV1 2 Tests
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Ubuntu 20.10 20200929
September 29 2020
  11 Hours, 55 Minutes
Fedora Workstation 33 Beta
September 30 2020
  9 Hours, 25 Minutes
Clear Linux 33780
October 01 2020
  11 Hours, 34 Minutes
openSUSE Tumbleweed
October 01 2020
  9 Hours, 3 Minutes
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  10 Hours, 29 Minutes

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Ubuntu 20.10 20200929

Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: NVIDIA NV132 11GB, Audio: Realtek ALC1220, Monitor: ASUS MG28U, Network: Intel I219-V + Intel I211

OS: Ubuntu 20.10, Kernel: 5.8.0-19-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: nouveau 1.0.16, OpenGL: 4.3 Mesa 20.1.8, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-rn7uax/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-rn7uax/gcc-10-10.2.0/debian/tmp-gcn/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_cpufreq ondemand - CPU Microcode: 0x5002f01
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)
Python Notes: Python 3.8.6
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: Mitigation of TSX disabled

Fedora Workstation 33 Beta

OS: Fedora 33, Kernel: 5.8.12-300.fc33.x86_64 (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server + Wayland, OpenGL: 4.3 Mesa 20.2.0, Compiler: GCC 10.2.1 20200826 + Clang 11.0.0, File-System: btrfs, Screen Resolution: 3840x2160

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-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=i686 --with-gcc-major-version-only --with-isl --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver
Processor Notes: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x5002f01
Java Notes: OpenJDK Runtime Environment 18.9 (build 11.0.9-ea+6)
Python Notes: Python 3.9.0rc2
Security Notes: SELinux + 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: Mitigation of TSX disabled

Clear Linux 33780

Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB + 31GB UDisk, Graphics: NVIDIA NV132 11GB, Audio: Realtek ALC1220, Monitor: ASUS MG28U, Network: Intel I219-V + Intel I211

OS: Clear Linux OS 33780, Kernel: 5.7.13-975.native (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: nouveau 1.0.16, OpenGL: 4.3 Mesa 20.2.0-devel, Compiler: GCC 10.2.1 20200928 releases/gcc-10.2.0-302-ga6c47f4ce2 + Clang 10.0.1 + LLVM 10.0.1, File-System: ext4, Screen Resolution: 3840x2160

Environment Notes: FFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=32 -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -malign-data=abi -fno-semantic-interposition -ftree-vectorize -ftree-loop-vectorize -Wl,--enable-new-dtags -Wa,-mbranches-within-32B-boundaries" CXXFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=32 -Wformat -Wformat-security -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -fno-semantic-interposition -ffat-lto-objects -fno-trapping-math -Wl,-sort-common -Wl,--enable-new-dtags -mtune=skylake -Wa,-mbranches-within-32B-boundaries -fvisibility-inlines-hidden -Wl,--enable-new-dtags" MESA_GLSL_CACHE_DISABLE=0 FCFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=32 -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -malign-data=abi -fno-semantic-interposition -ftree-vectorize -ftree-loop-vectorize -Wl,-sort-common -Wl,--enable-new-dtags" CFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=32 -Wformat -Wformat-security -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -fno-semantic-interposition -ffat-lto-objects -fno-trapping-math -Wl,-sort-common -Wl,--enable-new-dtags -mtune=skylake -Wa,-mbranches-within-32B-boundaries" THEANO_FLAGS="floatX=float32,openmp=true,gcc.cxxflags="-ftree-vectorize -mavx""
Compiler Notes: --build=x86_64-generic-linux --disable-libmpx --disable-libunwind-exceptions --disable-multiarch --disable-vtable-verify --disable-werror --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-clocale=gnu --enable-default-pie --enable-gnu-indirect-function --enable-languages=c,c++,fortran,go --enable-ld=default --enable-libstdcxx-pch --enable-lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --exec-prefix=/usr --includedir=/usr/include --target=x86_64-generic-linux --with-arch=westmere --with-gcc-major-version-only --with-glibc-version=2.19 --with-gnu-ld --with-isl --with-ppl=yes --with-tune=haswell
Processor Notes: Scaling Governor: intel_pstate performance - CPU Microcode: 0x500012c
Java Notes: OpenJDK Runtime Environment (build 1.8.0-u252-ga-b00)
Python Notes: Python 3.8.6
Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled

openSUSE Tumbleweed

OS: openSUSE Tumbleweed 20200929, Kernel: 5.8.10-1-default (x86_64), Desktop: KDE Plasma 5.19.5, Display Server: X Server 1.20.9, Display Driver: nouveau 1.0.16, OpenGL: 4.3 Mesa 20.1.8, Compiler: GCC 10.2.1 20200825 [revision c0746a1beb1ba073c7981eb09f55b3d993b32e5c], File-System: btrfs, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-suse-linux --disable-libcc1 --disable-libssp --disable-libstdcxx-pch --disable-libvtv --disable-werror --enable-cet=auto --enable-checking=release --enable-gnu-indirect-function --enable-languages=c,c++,objc,fortran,obj-c++,ada,go,d --enable-libphobos --enable-libstdcxx-allocator=new --enable-link-mutex --enable-linux-futex --enable-multilib --enable-offload-targets=nvptx-none=/usr/nvptx-none,amdgcn-amdhsa=/usr/amdgcn-amdhsa, --enable-plugin --enable-ssp --enable-version-specific-runtime-libs --host=x86_64-suse-linux --mandir=/usr/share/man --with-arch-32=x86-64 --with-build-config=bootstrap-lto-lean --with-gcc-major-version-only --with-slibdir=/lib64 --with-tune=generic --without-cuda-driver --without-system-libunwind
Processor Notes: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x5002f01
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-suse-1.3-x8664)
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: Mitigation of TSX disabled

Ubuntu 20.10 DevelProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedIntel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads)ASRock X299 Steel Legend (P1.30 BIOS)Intel Sky Lake-E DMI3 Registers32GBSamsung SSD 970 PRO 512GBNVIDIA NV132 11GBRealtek ALC1220ASUS MG28UIntel I219-V + Intel I211Ubuntu 20.105.8.0-19-generic (x86_64)GNOME Shell 3.38.0X Server 1.20.8nouveau 1.0.164.3 Mesa 20.1.8GCC 10.2.0ext43840x2160Fedora 335.8.12-300.fc33.x86_64 (x86_64)X Server + Wayland4.3 Mesa 20.2.0GCC 10.2.1 20200826 + Clang 11.0.0btrfsSamsung SSD 970 PRO 512GB + 31GB UDiskClear Linux OS 337805.7.13-975.native (x86_64)X Server 1.20.8nouveau 1.0.164.3 Mesa 20.2.0-develGCC 10.2.1 20200928 releases/gcc-10.2.0-302-ga6c47f4ce2 + Clang 10.0.1 + LLVM 10.0.1ext4openSUSE Tumbleweed 202009295.8.10-1-default (x86_64)KDE Plasma 5.19.5X Server 1.20.94.3 Mesa 20.1.8GCC 10.2.1 20200825 [revision c0746a1beb1ba073c7981eb09f55b3d993b32e5c]btrfsOpenBenchmarking.orgCompiler Details- Ubuntu 20.10 20200929: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-rn7uax/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-rn7uax/gcc-10-10.2.0/debian/tmp-gcn/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 - Fedora Workstation 33 Beta: --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-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=i686 --with-gcc-major-version-only --with-isl --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver - Clear Linux 33780: --build=x86_64-generic-linux --disable-libmpx --disable-libunwind-exceptions --disable-multiarch --disable-vtable-verify --disable-werror --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-clocale=gnu --enable-default-pie --enable-gnu-indirect-function --enable-languages=c,c++,fortran,go --enable-ld=default --enable-libstdcxx-pch --enable-lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --exec-prefix=/usr --includedir=/usr/include --target=x86_64-generic-linux --with-arch=westmere --with-gcc-major-version-only --with-glibc-version=2.19 --with-gnu-ld --with-isl --with-ppl=yes --with-tune=haswell - openSUSE Tumbleweed: --build=x86_64-suse-linux --disable-libcc1 --disable-libssp --disable-libstdcxx-pch --disable-libvtv --disable-werror --enable-cet=auto --enable-checking=release --enable-gnu-indirect-function --enable-languages=c,c++,objc,fortran,obj-c++,ada,go,d --enable-libphobos --enable-libstdcxx-allocator=new --enable-link-mutex --enable-linux-futex --enable-multilib --enable-offload-targets=nvptx-none=/usr/nvptx-none,amdgcn-amdhsa=/usr/amdgcn-amdhsa, --enable-plugin --enable-ssp --enable-version-specific-runtime-libs --host=x86_64-suse-linux --mandir=/usr/share/man --with-arch-32=x86-64 --with-build-config=bootstrap-lto-lean --with-gcc-major-version-only --with-slibdir=/lib64 --with-tune=generic --without-cuda-driver --without-system-libunwind Processor Details- Ubuntu 20.10 20200929: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x5002f01- Fedora Workstation 33 Beta: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x5002f01- Clear Linux 33780: Scaling Governor: intel_pstate performance - CPU Microcode: 0x500012c- openSUSE Tumbleweed: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x5002f01Java Details- Ubuntu 20.10 20200929: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)- Fedora Workstation 33 Beta: OpenJDK Runtime Environment 18.9 (build 11.0.9-ea+6)- Clear Linux 33780: OpenJDK Runtime Environment (build 1.8.0-u252-ga-b00)- openSUSE Tumbleweed: OpenJDK Runtime Environment (build 11.0.8+10-suse-1.3-x8664)Python Details- Ubuntu 20.10 20200929: Python 3.8.6- Fedora Workstation 33 Beta: Python 3.9.0rc2- Clear Linux 33780: Python 3.8.6- openSUSE Tumbleweed: Python 2.7.18 + Python 3.8.5Security Details- Ubuntu 20.10 20200929: 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: Mitigation of TSX disabled - Fedora Workstation 33 Beta: SELinux + 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: Mitigation of TSX disabled - Clear Linux 33780: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled - openSUSE Tumbleweed: 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: Mitigation of TSX disabled Environment Details- Clear Linux 33780: FFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=32 -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -malign-data=abi -fno-semantic-interposition -ftree-vectorize -ftree-loop-vectorize -Wl,--enable-new-dtags -Wa,-mbranches-within-32B-boundaries" CXXFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=32 -Wformat -Wformat-security -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -fno-semantic-interposition -ffat-lto-objects -fno-trapping-math -Wl,-sort-common -Wl,--enable-new-dtags -mtune=skylake -Wa,-mbranches-within-32B-boundaries -fvisibility-inlines-hidden -Wl,--enable-new-dtags" MESA_GLSL_CACHE_DISABLE=0 FCFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=32 -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -malign-data=abi -fno-semantic-interposition -ftree-vectorize -ftree-loop-vectorize -Wl,-sort-common -Wl,--enable-new-dtags" CFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=32 -Wformat -Wformat-security -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -fno-semantic-interposition -ffat-lto-objects -fno-trapping-math -Wl,-sort-common -Wl,--enable-new-dtags -mtune=skylake -Wa,-mbranches-within-32B-boundaries" THEANO_FLAGS="floatX=float32,openmp=true,gcc.cxxflags="-ftree-vectorize -mavx""

Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedResult OverviewPhoronix Test Suite100%111%122%134%145%PHPBenchPyPerformanceTimed HMMer Searchlibavif avifencPyBenchDaCapo BenchmarkTimed PHP CompilationMobile Neural NetworkCP2K Molecular DynamicsSVT-AV1SQLite SpeedtestBasis UniversalFFTETimed Linux Kernel CompilationIntel Open Image DenoiseGEGLCoremarkoneDNNLevelDBWebP Image EncodeRawTherapeeGitDeepSpeechDarktableHimeno BenchmarkCraftyasmFishBRL-CADSVT-VP9TNNOpenVKLNCNNASTC EncoderAppleseedBlenderZstd CompressionDolfynHierarchical INTegrationKripkeOpenSSLTensorFlow LiteNAMDlibjpeg-turbo tjbenchCrypto++

Ubuntu 20.10 Devellammps: 20k Atomsplaidml: No - Inference - DenseNet 201 - CPUbasis: UASTC Level 2 + RDO Post-Processingblender: Barbershop - CPU-Onlycryptopp: Keyed Algorithmsjava-gradle-perf: Reactorplaidml: No - Inference - ResNet 50 - CPUai-benchmark: Device AI Scoreai-benchmark: Device Training Scoreai-benchmark: Device Inference Scoreplaidml: No - Inference - Inception V3 - CPUbrl-cad: VGR Performance Metricblender: Pabellon Barcelona - CPU-Onlyblender: Classroom - CPU-Onlycp2k: Fayalite-FIST Datamnn: inception-v3mnn: MobileNetV2_224mnn: resnet-v2-50mnn: SqueezeNetV1.0kripke: hpcg: hint: FLOATamg: caffe: GoogleNet - CPU - 200pyperformance: python_startupplaidml: No - Inference - Mobilenet - CPUappleseed: Emilyastcenc: Exhaustiveasmfish: 1024 Hash Memory, 26 Depthhmmer: Pfam Database Searchblender: Fishy Cat - CPU-Onlygromacs: Water Benchmarkmnn: mobilenet-v1-1.0plaidml: No - Inference - VGG19 - CPUdeepspeech: CPUopenvkl: vklBenchmarktensorflow-lite: Inception V4ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2blender: BMW27 - CPU-Onlyplaidml: No - Inference - VGG16 - CPUtensorflow-lite: Inception ResNet V2appleseed: Material Testerappleseed: Disney Materialrocksdb: Rand Fillcaffe: AlexNet - CPU - 200pyperformance: raytracencnn: CPU - shufflenet-v2ncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - mobilenetncnn: CPU - squeezenetavifenc: 0leveldb: Hot Readnamd: ATPase Simulation - 327,506 Atomstensorflow-lite: Mobilenet Quanttensorflow-lite: Mobilenet Floattensorflow-lite: SqueezeNettensorflow-lite: NASNet Mobilerocksdb: Read While Writingrocksdb: Rand Readonednn: IP Batch All - bf16bf16bf16 - CPUonednn: IP Batch All - u8s8f32 - CPUonednn: IP Batch All - f32 - CPUsqlite-speedtest: Timed Time - Size 1,000pyperformance: 2to3gegl: Wavelet Blurhimeno: Poisson Pressure Solverrawtherapee: Total Benchmark Timecompress-zstd: 19gegl: Color Enhancebuild-linux-kernel: Time To Compilebasis: ETC1Sgit: Time To Complete Common Git Commandspyperformance: gobuild-php: Time To Compileavifenc: 2gegl: Rotate 90 Degreesbasis: UASTC Level 3onednn: Recurrent Neural Network Training - f32 - CPUwebp: Quality 100, Lossless, Highest Compressiononednn: Recurrent Neural Network Inference - f32 - CPUgegl: Antialiascoremark: CoreMark Size 666 - Iterations Per Secondleveldb: Seek Randpyperformance: django_templatepyperformance: regex_compilecompress-zstd: 3leveldb: Rand Readgegl: Tile Glassplaidml: No - Inference - IMDB LSTM - CPUpyperformance: chaospyperformance: floatpyperformance: crypto_pyaespyperformance: nbodypyperformance: pathlibpyperformance: pickle_pure_pythonpybench: Total For Average Test Timesastcenc: Thoroughpyperformance: json_loadsrocksdb: Seq Fillonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Deconvolution Batch deconv_1d - bf16bf16bf16 - CPUbasis: UASTC Level 2onednn: Deconvolution Batch deconv_1d - u8s8f32 - CPUonednn: Deconvolution Batch deconv_1d - f32 - CPUcrafty: Elapsed Timetnn: CPU - MobileNet v2openssl: RSA 4096-bit Performancetnn: CPU - SqueezeNet v1.1dolfyn: Computational Fluid Dynamicsoidn: Memorialwebp: Quality 100, Losslessgimp: unsharp-maskonednn: IP Batch 1D - f32 - CPUsvt-av1: Enc Mode 4 - 1080pdacapobench: Tradebeansonednn: IP Batch 1D - bf16bf16bf16 - CPUonednn: IP Batch 1D - u8s8f32 - CPUnode-express-loadtest: gimp: auto-levelsphpbench: PHP Benchmark Suitegimp: rotateonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUdacapobench: Tradesoapdacapobench: H2darktable: Boat - CPU-onlygimp: resizesvt-av1: Enc Mode 8 - 1080pdacapobench: Jythonbasis: UASTC Level 0onednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUastcenc: Mediumwebp: Quality 100, Highest Compressiononednn: Convolution Batch Shapes Auto - u8s8f32 - CPUlammps: Rhodopsin Proteinonednn: Deconvolution Batch deconv_3d - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUtjbench: Decompression Throughputastcenc: Fastavifenc: 8avifenc: 10darktable: Masskrug - CPU-onlydarktable: Server Room - CPU-onlyonednn: Deconvolution Batch deconv_3d - bf16bf16bf16 - CPUonednn: Deconvolution Batch deconv_3d - f32 - CPUsvt-vp9: Visual Quality Optimized - Bosphorus 1080pffte: N=256, 3D Complex FFT Routinesvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pdarktable: Server Rack - CPU-onlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed9.5022.65652.153389.49709.204184253.5435.563478154819306.62207515311.57283.47751.9836.7305.14945.2428.654347071537.38538455254464.9737031092.2823054212.113.22227.097584141.1253234767145.545127.111.57522.31115.53150268.67185720793.5226.461642340126.623106121.5108161433799868073895.0724.8621.7910.9312.0141.2614.062.127.155.2517.1614.1772.05627.3660.9771990286.287493.112795611810042191059924411363.86647.6822932.700155.49927855.0163994.37352449.75960.352.04849.45945.96748.63220549.15442.99137.76736.436190.42237.65573.584935.324687280.77143434.14738.51354886.627.55128.718787.5188.793.788.610714.634991417.9322.015678630.7332329.1480220.8650.4632721.782649040556297.1975191.9281.02518.47622.1916.9612.320485.20574755.581130.59708868857830841.589321.76756346945958.35342.56638577.0628.018577.016.6339.449858.1930.73948610.00959216.3861395.095.2615.0763.2722.67910.91802.89246254.1152659.206697411312.250.12811.739801.561392.30711.244245275.408205846313.83284.29711.85534.8575.19541.5338.553344756707.81404454854722.6281331431.111913069.77228.990939141.3852941334134.161128.061.522112.12810274.81186301793.491650010126.46514122.4039291636579876024585.1125.7121.5310.7611.3240.1514.202.147.115.3417.4714.0570.89030.6170.9826890878.088258.6128302117441397017910165231563.86447.1772532.007960.35129255.0764005.42851850.66960.250.44446.71854.64147.23622945.97542.07137.59539.027168.74938.15853.735534.932643394.64375035.86444.91534863.430.97127.82810510610412615.1398105617.7622.518029840.3694218.9580422.5720.4662561.742219501807286.6415175.6279.35918.38825.1317.19717.0792.223595.66478545.595280.533189622813.36777569512.0981.446571.75159359842768.4638.01347.04340197.6648.029116.956.6079.312769.3200.6846239.80800216.4371675.066.0835.9053.2772.68910.91462.64108251.9848693.666609852308.510.13012.4903.73665.179380.51712.202296208.7276.283585155320326.73211356303.52280.87725.88329.9914.41634.2747.429344797537.84618455035663.3041756200.251403667.1813.90219.451059140.7656165113108.927124.781.59524.85108.69367280.11186103091.7329.791646353124.758683119.3183811509115561453805.1423.1821.139.9211.3240.8813.612.187.195.3216.4313.1665.58428.0090.9783790284.487810.9129099116724383151710153596163.96967.0597431.222952.67325544.8784250.71333751.01862.246.50543.23743.43745.23919839.73438.90435.50436.764156.33732.74848.149433.860728013.37859433.98438.31344909.427.62927.344770.7387.690.288.494.013.734685417.6521.916643610.3810549.2209020.2270.4605951.705519359149276.8965212.0275.72318.28025.1615.20614.1982.212866.11228195.492180.516754985911.3939745089.7861.502101.71372289233928.2206.46050.87132546.4697.990686.866.2669.1749911.8760.6071059.62994217.1018445.053.9733.8362.9052.76310.85342.60498268.7848688.749471230321.450.1253.55642.505379.86710.6218806.086.34199874303.07280.85853.78832.6674.99340.2588.04434434280458498603.1345614.913.35222.767973139.8554461051141.863124.627.04324.37116.51155270.1718541705.356.0392.2329.761641410124.749705120.8372935365.5024.0022.2910.0611.8841.6613.962.287.355.4416.2914.2069.52027.0300.9759690079.287430.312796711613763.64257.0049331.376161.81031156.2684023.59530054.07560.051.91845.25145.32846.56724645.47340.88739.95435.477159.34937.82448.207736.901666366.94135232.79549.91664959.527.46529.668795.3811711411414516.3446108117.4525.70.3702718.8279320.7200.4563411.698969598327288.6095175.9282.45818.29425.0217.02818.7392.210725.8225.476010.51324915.96967337714.8201.460121.7015744528.35111.70647.02138456.6647.954116.686.5609.052090.6030889.80882217.6491854.884.1584.0583.2572.97810.77972.58030255.9845877.800418252309.810.132OpenBenchmarking.org

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: 20k AtomsUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 337803691215SE +/- 0.045, N = 3SE +/- 0.055, N = 3SE +/- 0.011, N = 39.50211.73912.490-O3-O2-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake1. (CXX) g++ options: -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k AtomsUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 3378048121620Min: 9.42 / Avg: 9.5 / Max: 9.57Min: 11.65 / Avg: 11.74 / Max: 11.84Min: 12.48 / Avg: 12.49 / Max: 12.511. (CXX) g++ options: -pthread -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: DenseNet 201 - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE Tumbleweed0.83931.67862.51793.35724.1965SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 32.653.733.55
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE Tumbleweed246810Min: 2.64 / Avg: 2.65 / Max: 2.65Min: 3.7 / Avg: 3.73 / Max: 3.76Min: 3.54 / Avg: 3.55 / Max: 3.56

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 2 + RDO Post-ProcessingUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed2004006008001000SE +/- 0.19, N = 3SE +/- 0.29, N = 3SE +/- 1.11, N = 3SE +/- 0.28, N = 3652.15801.56665.18642.51-O3-O2-O3-O31. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2 + RDO Post-ProcessingUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed140280420560700Min: 651.78 / Avg: 652.15 / Max: 652.4Min: 801 / Avg: 801.56 / Max: 801.92Min: 662.98 / Avg: 665.18 / Max: 666.54Min: 642.19 / Avg: 642.51 / Max: 643.071. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -rdynamic -lm -lpthread

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed90180270360450SE +/- 0.41, N = 3SE +/- 0.40, N = 3SE +/- 0.32, N = 3SE +/- 0.58, N = 3389.49392.30380.51379.86
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed70140210280350Min: 388.91 / Avg: 389.49 / Max: 390.29Min: 391.57 / Avg: 392.3 / Max: 392.95Min: 380.13 / Avg: 380.51 / Max: 381.15Min: 379.1 / Avg: 379.86 / Max: 380.99

Crypto++

Crypto++ is a C++ class library of cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Keyed AlgorithmsUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed150300450600750SE +/- 0.34, N = 3SE +/- 0.35, N = 3SE +/- 0.18, N = 3SE +/- 0.05, N = 3709.20711.24712.20710.62-g2-g2-fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake-g21. (CXX) g++ options: -O3 -fPIC -pthread -pipe
OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Keyed AlgorithmsUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed130260390520650Min: 708.56 / Avg: 709.2 / Max: 709.73Min: 710.56 / Avg: 711.24 / Max: 711.68Min: 711.88 / Avg: 712.2 / Max: 712.52Min: 710.55 / Avg: 710.62 / Max: 710.711. (CXX) g++ options: -O3 -fPIC -pthread -pipe

Java Gradle Build

This test runs Java software project builds using the Gradle build system. It is intended to give developers an idea as to the build performance for development activities and build servers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 3378060120180240300SE +/- 3.64, N = 3SE +/- 2.98, N = 7SE +/- 3.33, N = 3253.54275.41208.73
OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 3378050100150200250Min: 247.28 / Avg: 253.54 / Max: 259.89Min: 265.82 / Avg: 275.41 / Max: 290.31Min: 204.96 / Avg: 208.73 / Max: 215.36

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: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE Tumbleweed246810SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.566.286.08
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE Tumbleweed3691215Min: 5.53 / Avg: 5.56 / Max: 5.62Min: 6.27 / Avg: 6.28 / Max: 6.31Min: 6.05 / Avg: 6.08 / Max: 6.1

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreUbuntu 20.10 20200929Clear Linux 33780800160024003200400034783585

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreUbuntu 20.10 20200929Clear Linux 337803006009001200150015481553

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreUbuntu 20.10 20200929Clear Linux 3378040080012001600200019302032

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: Inception V3 - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE Tumbleweed246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 36.626.736.34
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE Tumbleweed3691215Min: 6.6 / Avg: 6.62 / Max: 6.64Min: 6.71 / Avg: 6.73 / Max: 6.76Min: 6.33 / Avg: 6.34 / Max: 6.36

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 MetricUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed50K100K150K200K250K207515205846211356199874-lSM -lICE -lXext -luuid-lSM -lICE -lXext1. (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 -lGLU -lGL -lGLdispatch -lX11 -lpthread -ldl -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: Pabellon Barcelona - Compute: CPU-OnlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed70140210280350SE +/- 0.28, N = 3SE +/- 0.35, N = 3SE +/- 1.16, N = 3SE +/- 0.49, N = 3311.57313.83303.52303.07
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-OnlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed60120180240300Min: 311.15 / Avg: 311.57 / Max: 312.09Min: 313.28 / Avg: 313.83 / Max: 314.47Min: 302.27 / Avg: 303.52 / Max: 305.83Min: 302.18 / Avg: 303.07 / Max: 303.87

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed60120180240300SE +/- 0.51, N = 3SE +/- 0.17, N = 3SE +/- 0.88, N = 3SE +/- 0.16, N = 3283.47284.29280.87280.85
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed50100150200250Min: 282.51 / Avg: 283.47 / Max: 284.25Min: 283.98 / Avg: 284.29 / Max: 284.57Min: 279.11 / Avg: 280.87 / Max: 281.89Min: 280.57 / Avg: 280.85 / Max: 281.11

CP2K Molecular Dynamics

CP2K is an open-source molecular dynamics software package focused on quantum chemistry and solid-state physics. This test profile currently makes use of the OpenMP implementation and using the Fayalite-FIST molecular dynamics run and measures the total time to complete. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCP2K Molecular Dynamics 6.1Fayalite-FIST DataUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed2004006008001000751.98711.86725.88853.79

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-v3Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed816243240SE +/- 0.17, N = 9SE +/- 0.15, N = 3SE +/- 0.21, N = 15SE +/- 0.39, N = 336.7334.8629.9932.67MIN: 33.59 / MAX: 45.4MIN: 32.13 / MAX: 36.98-pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 27.78 / MAX: 31.53MIN: 31.87 / MAX: 33.641. (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-v3Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed816243240Min: 35.72 / Avg: 36.73 / Max: 37.61Min: 34.61 / Avg: 34.86 / Max: 35.14Min: 28.33 / Avg: 29.99 / Max: 31.15Min: 32.04 / Avg: 32.67 / Max: 33.371. (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_224Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1.16892.33783.50674.67565.8445SE +/- 0.068, N = 9SE +/- 0.138, N = 3SE +/- 0.080, N = 15SE +/- 0.021, N = 35.1495.1954.4164.993MIN: 4.51 / MAX: 6.34MIN: 4.72 / MAX: 5.58-pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 3.51 / MAX: 5.35MIN: 4.64 / MAX: 5.351. (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_224Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810Min: 4.68 / Avg: 5.15 / Max: 5.38Min: 4.92 / Avg: 5.2 / Max: 5.34Min: 3.79 / Avg: 4.42 / Max: 4.95Min: 4.96 / Avg: 4.99 / Max: 5.031. (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-v2-50Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1020304050SE +/- 0.69, N = 9SE +/- 2.22, N = 3SE +/- 0.67, N = 15SE +/- 0.26, N = 345.2441.5334.2740.26MIN: 39.62 / MAX: 54.48MIN: 36.84 / MAX: 44.93-pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 28.55 / MAX: 36.93MIN: 34.58 / MAX: 40.921. (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-v2-50Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed918273645Min: 41.61 / Avg: 45.24 / Max: 47.16Min: 37.11 / Avg: 41.53 / Max: 44.01Min: 28.79 / Avg: 34.27 / Max: 36.54Min: 39.81 / Avg: 40.26 / Max: 40.721. (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: SqueezeNetV1.0Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810SE +/- 0.085, N = 9SE +/- 0.074, N = 3SE +/- 0.074, N = 15SE +/- 0.025, N = 38.6548.5537.4298.044MIN: 7.84 / MAX: 9.73MIN: 8.07 / MAX: 9.2-pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 6.58 / MAX: 8.09MIN: 7.7 / MAX: 8.81. (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: SqueezeNetV1.0Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed3691215Min: 8.19 / Avg: 8.65 / Max: 8.95Min: 8.45 / Avg: 8.55 / Max: 8.7Min: 6.94 / Avg: 7.43 / Max: 7.84Min: 8 / Avg: 8.04 / Max: 8.081. (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

Kripke

Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed7M14M21M28M35MSE +/- 21100.15, N = 3SE +/- 12013.89, N = 3SE +/- 74000.40, N = 3SE +/- 64733.28, N = 334707153344756703447975334434280-O3-O2-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake-O31. (CXX) g++ options: -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed6M12M18M24M30MMin: 34672280 / Avg: 34707153.33 / Max: 34745170Min: 34452540 / Avg: 34475670 / Max: 34492870Min: 34353140 / Avg: 34479753.33 / Max: 34609430Min: 34310840 / Avg: 34434280 / Max: 345298101. (CXX) g++ options: -fopenmp

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780246810SE +/- 0.06631, N = 3SE +/- 0.00386, N = 3SE +/- 0.00431, N = 37.385387.814047.84618-lmpi_cxx-lmpi_cxx1. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi
OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 337803691215Min: 7.25 / Avg: 7.39 / Max: 7.46Min: 7.81 / Avg: 7.81 / Max: 7.82Min: 7.84 / Avg: 7.85 / Max: 7.851. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi

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: FLOATUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed100M200M300M400M500MSE +/- 885405.39, N = 3SE +/- 311710.44, N = 3SE +/- 750713.54, N = 3SE +/- 472141.24, N = 3455254464.97454854722.63455035663.30458498603.13-pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake1. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed80M160M240M320M400MMin: 453602751.21 / Avg: 455254464.97 / Max: 456633231.73Min: 454245023.76 / Avg: 454854722.63 / Max: 455272224.89Min: 453675780.68 / Avg: 455035663.3 / Max: 456266741.55Min: 457603302.96 / Avg: 458498603.13 / Max: 459206215.251. (CC) gcc options: -O3 -march=native -lm

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid BenchmarkUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 3378012K24K36K48K60KSE +/- 4.04, N = 3SE +/- 17.97, N = 3SE +/- 14.87, N = 331092.2831431.1156200.25-O31. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid BenchmarkUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 3378010K20K30K40K50KMin: 31084.53 / Avg: 31092.28 / Max: 31098.11Min: 31396.47 / Avg: 31431.11 / Max: 31456.71Min: 56184.71 / Avg: 56200.25 / Max: 56229.981. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

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: 200Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 3378050K100K150K200K250KSE +/- 106.25, N = 3SE +/- 509.79, N = 3SE +/- 137.72, N = 3230542191306140366-O3 -lsz -lz -ldl -lm-O2 -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lhdf5_cpp -lhdf5 -lhdf5_hl_cpp -lhdf5_hl-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lhdf5_cpp -lhdf5 -lz -ldl -lm -lhdf5_hl_cpp -lhdf5_hl1. (CXX) g++ options: -fPIC -rdynamic -lglog -lgflags -lprotobuf -lpthread -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 3378040K80K120K160K200KMin: 230360 / Avg: 230542.33 / Max: 230728Min: 190578 / Avg: 191305.67 / Max: 192288Min: 140130 / Avg: 140366.33 / Max: 1406071. (CXX) g++ options: -fPIC -rdynamic -lglog -lgflags -lprotobuf -lpthread -llmdb -lopenblas

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_startupUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed48121620SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.23, N = 1212.109.777.1814.90
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed48121620Min: 12 / Avg: 12.13 / Max: 12.2Min: 9.64 / Avg: 9.77 / Max: 9.84Min: 7.17 / Avg: 7.18 / Max: 7.2Min: 12.9 / Avg: 14.87 / Max: 15.7

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: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE Tumbleweed48121620SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 313.2213.9013.35
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE Tumbleweed48121620Min: 13.12 / Avg: 13.22 / Max: 13.34Min: 13.75 / Avg: 13.9 / Max: 14Min: 13.22 / Avg: 13.35 / Max: 13.51

Appleseed

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed50100150200250227.10228.99219.45222.77

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: ExhaustiveUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed306090120150SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3141.12141.38140.76139.851. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed306090120150Min: 141.08 / Avg: 141.12 / Max: 141.16Min: 141.37 / Avg: 141.38 / Max: 141.39Min: 140.7 / Avg: 140.76 / Max: 140.79Min: 139.8 / Avg: 139.85 / Max: 139.91. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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 DepthUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed12M24M36M48M60MSE +/- 704473.66, N = 3SE +/- 648467.99, N = 3SE +/- 421420.95, N = 3SE +/- 405576.86, N = 353234767529413345616511354461051
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed10M20M30M40M50MMin: 51850643 / Avg: 53234767.33 / Max: 54154863Min: 52283958 / Avg: 52941334 / Max: 54238229Min: 55500059 / Avg: 56165113.33 / Max: 56946042Min: 53737000 / Avg: 54461051.33 / Max: 55139763

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed306090120150SE +/- 0.18, N = 3SE +/- 0.19, N = 3SE +/- 0.02, N = 3SE +/- 0.28, N = 3145.55134.16108.93141.86-pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed306090120150Min: 145.21 / Avg: 145.54 / Max: 145.84Min: 133.87 / Avg: 134.16 / Max: 134.51Min: 108.9 / Avg: 108.93 / Max: 108.96Min: 141.42 / Avg: 141.86 / Max: 142.381. (CC) gcc options: -O3 -pthread -lhmmer -leasel -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-OnlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed306090120150SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3127.11128.06124.78124.62
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed20406080100Min: 126.98 / Avg: 127.11 / Max: 127.18Min: 127.93 / Avg: 128.06 / Max: 128.17Min: 124.7 / Avg: 124.78 / Max: 124.91Min: 124.31 / Avg: 124.62 / Max: 124.91

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 BenchmarkUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 337800.35890.71781.07671.43561.7945SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 31.5751.5221.595-O3-O2 -ldl-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -ldl1. (CXX) g++ options: -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780246810Min: 1.57 / Avg: 1.58 / Max: 1.58Min: 1.52 / Avg: 1.52 / Max: 1.52Min: 1.59 / Avg: 1.59 / Max: 1.61. (CXX) g++ options: -pthread -lrt -lpthread -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: mobilenet-v1-1.0openSUSE Tumbleweed246810SE +/- 0.018, N = 37.043MIN: 6.91 / MAX: 7.51. (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

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: VGG19 - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE Tumbleweed612182430SE +/- 0.09, N = 3SE +/- 0.23, N = 3SE +/- 0.08, N = 322.3124.8524.37
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE Tumbleweed612182430Min: 22.13 / Avg: 22.31 / Max: 22.41Min: 24.49 / Avg: 24.85 / Max: 25.29Min: 24.25 / Avg: 24.37 / Max: 24.52

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: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed306090120150SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3115.53112.13108.69116.51
OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed20406080100Min: 115.39 / Avg: 115.53 / Max: 115.74Min: 112.01 / Avg: 112.13 / Max: 112.36Min: 108.57 / Avg: 108.69 / Max: 108.76Min: 116.3 / Avg: 116.51 / Max: 116.64

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: vklBenchmarkUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed60120180240300SE +/- 0.22, N = 3SE +/- 0.47, N = 3SE +/- 0.86, N = 3SE +/- 1.42, N = 3268.67274.81280.11270.17MIN: 1 / MAX: 1084MIN: 1 / MAX: 1115MIN: 1 / MAX: 1134MIN: 1 / MAX: 1098
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed50100150200250Min: 268.25 / Avg: 268.67 / Max: 269Min: 274.33 / Avg: 274.81 / Max: 275.75Min: 278.83 / Avg: 280.11 / Max: 281.75Min: 268 / Avg: 270.17 / Max: 272.83

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: Inception V4Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed400K800K1200K1600K2000KSE +/- 309.86, N = 3SE +/- 222.29, N = 3SE +/- 399.62, N = 3SE +/- 655.01, N = 31857207186301718610301854170
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed300K600K900K1200K1500KMin: 1856610 / Avg: 1857206.67 / Max: 1857650Min: 1862630 / Avg: 1863016.67 / Max: 1863400Min: 1860530 / Avg: 1861030 / Max: 1861820Min: 1853380 / Avg: 1854170 / Max: 1855470

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-v3openSUSE Tumbleweed1.20382.40763.61144.81526.019SE +/- 0.10, N = 55.35MIN: 5.02 / MAX: 6.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2openSUSE Tumbleweed246810SE +/- 0.14, N = 56.03MIN: 5.48 / MAX: 8.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed20406080100SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.33, N = 3SE +/- 0.15, N = 393.5293.4991.7392.23
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed20406080100Min: 93.24 / Avg: 93.52 / Max: 93.71Min: 93.38 / Avg: 93.49 / Max: 93.57Min: 91.28 / Avg: 91.73 / Max: 92.38Min: 92.05 / Avg: 92.23 / Max: 92.52

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: VGG16 - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE Tumbleweed714212835SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.21, N = 326.4629.7929.76
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE Tumbleweed714212835Min: 26.39 / Avg: 26.46 / Max: 26.58Min: 29.49 / Avg: 29.79 / Max: 30.08Min: 29.34 / Avg: 29.76 / Max: 29.97

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: Inception ResNet V2Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed400K800K1200K1600K2000KSE +/- 425.79, N = 3SE +/- 581.84, N = 3SE +/- 412.81, N = 3SE +/- 229.13, N = 31642340165001016463531641410
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed300K600K900K1200K1500KMin: 1641760 / Avg: 1642340 / Max: 1643170Min: 1649350 / Avg: 1650010 / Max: 1651170Min: 1645550 / Avg: 1646353.33 / Max: 1646920Min: 1641110 / Avg: 1641410 / Max: 1641860

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 TesterUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed306090120150126.62126.47124.76124.75

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed306090120150121.51122.40119.32120.84

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780400K800K1200K1600K2000KSE +/- 16959.02, N = 6SE +/- 6254.49, N = 3SE +/- 3895.19, N = 3143379916365791509115-O21. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780300K600K900K1200K1500KMin: 1401384 / Avg: 1433799.17 / Max: 1503051Min: 1625885 / Avg: 1636578.67 / Max: 1647546Min: 1501325 / Avg: 1509115 / Max: 15130761. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 3378020K40K60K80K100KSE +/- 47.95, N = 3SE +/- 463.52, N = 3SE +/- 23.71, N = 3868078760256145-O3 -lsz -lz -ldl -lm-O2 -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lhdf5_cpp -lhdf5 -lhdf5_hl_cpp -lhdf5_hl-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lhdf5_cpp -lhdf5 -lz -ldl -lm -lhdf5_hl_cpp -lhdf5_hl1. (CXX) g++ options: -fPIC -rdynamic -lglog -lgflags -lprotobuf -lpthread -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 3378015K30K45K60K75KMin: 86712 / Avg: 86807.33 / Max: 86864Min: 86852 / Avg: 87602.33 / Max: 88449Min: 56103 / Avg: 56145.33 / Max: 561851. (CXX) g++ options: -fPIC -rdynamic -lglog -lgflags -lprotobuf -lpthread -llmdb -lopenblas

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: raytraceUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed120240360480600SE +/- 0.33, N = 3SE +/- 0.33, N = 3389458380536
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed90180270360450Min: 389 / Avg: 389.33 / Max: 390Min: 536 / Avg: 536.33 / Max: 537

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: shufflenet-v2Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1.23752.4753.71254.956.1875SE +/- 0.05, N = 2SE +/- 0.05, N = 5SE +/- 0.10, N = 3SE +/- 0.09, N = 55.075.115.145.50-O3 - MIN: 4.75 / MAX: 8.65-O2 - MIN: 4.7 / MAX: 20.31-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 4.81 / MAX: 16.62-O3 - MIN: 5.07 / MAX: 6.51. (CXX) g++ options: -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810Min: 5.02 / Avg: 5.07 / Max: 5.11Min: 4.94 / Avg: 5.11 / Max: 5.24Min: 4.93 / Avg: 5.14 / Max: 5.24Min: 5.16 / Avg: 5.5 / Max: 5.671. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed612182430SE +/- 0.14, N = 3SE +/- 0.03, N = 5SE +/- 0.02, N = 3SE +/- 0.09, N = 524.8625.7123.1824.00-O3 - MIN: 24.03 / MAX: 30.04-O2 - MIN: 24.55 / MAX: 32.72-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 22.74 / MAX: 28-O3 - MIN: 23.21 / MAX: 34.21. (CXX) g++ options: -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed612182430Min: 24.69 / Avg: 24.86 / Max: 25.13Min: 25.64 / Avg: 25.71 / Max: 25.83Min: 23.14 / Avg: 23.18 / Max: 23.22Min: 23.75 / Avg: 24 / Max: 24.311. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed510152025SE +/- 0.01, N = 3SE +/- 0.31, N = 5SE +/- 0.09, N = 3SE +/- 0.43, N = 521.7921.5321.1322.29-O3 - MIN: 21.52 / MAX: 35.09-O2 - MIN: 20.05 / MAX: 23.48-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 20.86 / MAX: 21.4-O3 - MIN: 21.02 / MAX: 23.981. (CXX) g++ options: -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed510152025Min: 21.77 / Avg: 21.79 / Max: 21.81Min: 20.29 / Avg: 21.53 / Max: 21.88Min: 20.96 / Avg: 21.13 / Max: 21.22Min: 21.18 / Avg: 22.29 / Max: 23.081. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed3691215SE +/- 0.01, N = 3SE +/- 0.13, N = 5SE +/- 0.07, N = 3SE +/- 0.16, N = 510.9310.769.9210.06-O3 - MIN: 10.8 / MAX: 11.87-O2 - MIN: 10.13 / MAX: 29.35-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 9.73 / MAX: 10.06-O3 - MIN: 9.72 / MAX: 10.971. (CXX) g++ options: -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed3691215Min: 10.92 / Avg: 10.93 / Max: 10.94Min: 10.27 / Avg: 10.76 / Max: 10.95Min: 9.79 / Avg: 9.92 / Max: 10.01Min: 9.77 / Avg: 10.06 / Max: 10.491. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed3691215SE +/- 0.02, N = 3SE +/- 0.32, N = 5SE +/- 0.03, N = 3SE +/- 0.28, N = 512.0111.3211.3211.88-O3 - MIN: 11.92 / MAX: 12.12-O2 - MIN: 10.72 / MAX: 12.22-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 11.22 / MAX: 15.55-O3 - MIN: 11.5 / MAX: 13.111. (CXX) g++ options: -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed3691215Min: 11.98 / Avg: 12.01 / Max: 12.03Min: 10.8 / Avg: 11.32 / Max: 12.11Min: 11.27 / Avg: 11.32 / Max: 11.38Min: 11.58 / Avg: 11.88 / Max: 12.981. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1020304050SE +/- 0.02, N = 3SE +/- 0.25, N = 5SE +/- 0.07, N = 3SE +/- 0.33, N = 541.2640.1540.8841.66-O3 - MIN: 41.12 / MAX: 44.72-O2 - MIN: 39.37 / MAX: 52.59-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 40.7 / MAX: 42.66-O3 - MIN: 40.85 / MAX: 45.071. (CXX) g++ options: -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed918273645Min: 41.23 / Avg: 41.26 / Max: 41.28Min: 39.56 / Avg: 40.15 / Max: 40.96Min: 40.81 / Avg: 40.88 / Max: 41.02Min: 41.01 / Avg: 41.66 / Max: 42.691. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed48121620SE +/- 0.45, N = 3SE +/- 0.35, N = 5SE +/- 0.04, N = 3SE +/- 0.35, N = 514.0614.2013.6113.96-O3 - MIN: 13.52 / MAX: 15.76-O2 - MIN: 13.26 / MAX: 40.26-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 13.49 / MAX: 20.39-O3 - MIN: 13.36 / MAX: 16.651. (CXX) g++ options: -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed48121620Min: 13.59 / Avg: 14.06 / Max: 14.96Min: 13.56 / Avg: 14.2 / Max: 15.14Min: 13.54 / Avg: 13.61 / Max: 13.65Min: 13.44 / Avg: 13.96 / Max: 15.321. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed0.5131.0261.5392.0522.565SE +/- 0.01, N = 3SE +/- 0.01, N = 5SE +/- 0.02, N = 3SE +/- 0.03, N = 52.122.142.182.28-O3 - MIN: 2.07 / MAX: 2.18-O2 - MIN: 2.07 / MAX: 2.26-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 2.1 / MAX: 14.99-O3 - MIN: 2.18 / MAX: 2.471. (CXX) g++ options: -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810Min: 2.11 / Avg: 2.12 / Max: 2.13Min: 2.12 / Avg: 2.14 / Max: 2.16Min: 2.14 / Avg: 2.18 / Max: 2.22Min: 2.23 / Avg: 2.28 / Max: 2.411. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810SE +/- 0.06, N = 3SE +/- 0.12, N = 5SE +/- 0.09, N = 3SE +/- 0.14, N = 57.157.117.197.35-O3 - MIN: 6.78 / MAX: 11.03-O2 - MIN: 6.51 / MAX: 8.85-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 6.9 / MAX: 7.52-O3 - MIN: 6.87 / MAX: 8.681. (CXX) g++ options: -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed3691215Min: 7.02 / Avg: 7.15 / Max: 7.22Min: 6.8 / Avg: 7.11 / Max: 7.4Min: 7.07 / Avg: 7.19 / Max: 7.36Min: 7.09 / Avg: 7.35 / Max: 7.861. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1.2242.4483.6724.8966.12SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 55.255.345.325.44-O3 - MIN: 4.93 / MAX: 11.38-O2 - MIN: 4.81 / MAX: 46.89-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 5.1 / MAX: 5.47-O3 - MIN: 5.14 / MAX: 5.841. (CXX) g++ options: -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810Min: 5.14 / Avg: 5.25 / Max: 5.42Min: 5.28 / Avg: 5.34 / Max: 5.42Min: 5.27 / Avg: 5.32 / Max: 5.35Min: 5.33 / Avg: 5.44 / Max: 5.751. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed48121620SE +/- 0.16, N = 3SE +/- 0.25, N = 5SE +/- 0.00, N = 3SE +/- 0.08, N = 517.1617.4716.4316.29-O3 - MIN: 16.76 / MAX: 17.48-O2 - MIN: 16.65 / MAX: 46.98-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 15.94 / MAX: 20.27-O3 - MIN: 15.99 / MAX: 17.281. (CXX) g++ options: -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed48121620Min: 16.84 / Avg: 17.16 / Max: 17.39Min: 16.89 / Avg: 17.47 / Max: 18.14Min: 16.43 / Avg: 16.43 / Max: 16.44Min: 16.1 / Avg: 16.29 / Max: 16.561. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed48121620SE +/- 0.06, N = 3SE +/- 0.17, N = 5SE +/- 0.03, N = 3SE +/- 0.17, N = 514.1714.0513.1614.20-O3 - MIN: 13.89 / MAX: 26.2-O2 - MIN: 13.46 / MAX: 27.02-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 13 / MAX: 13.52-O3 - MIN: 13.71 / MAX: 15.541. (CXX) g++ options: -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed48121620Min: 14.1 / Avg: 14.17 / Max: 14.28Min: 13.63 / Avg: 14.05 / Max: 14.62Min: 13.1 / Avg: 13.16 / Max: 13.19Min: 13.82 / Avg: 14.2 / Max: 14.751. (CXX) g++ options: -rdynamic -lgomp -lpthread

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1632486480SE +/- 0.23, N = 3SE +/- 0.30, N = 3SE +/- 0.07, N = 3SE +/- 0.19, N = 372.0670.8965.5869.521. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1428425670Min: 71.6 / Avg: 72.06 / Max: 72.35Min: 70.39 / Avg: 70.89 / Max: 71.43Min: 65.46 / Avg: 65.58 / Max: 65.72Min: 69.17 / Avg: 69.52 / Max: 69.841. (CXX) g++ options: -O3 -fPIC

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed714212835SE +/- 0.05, N = 3SE +/- 0.38, N = 12SE +/- 0.26, N = 10SE +/- 0.23, N = 327.3730.6228.0127.03-O3-O2-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsqlite3-O31. (CXX) g++ options: -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed714212835Min: 27.26 / Avg: 27.37 / Max: 27.43Min: 26.46 / Avg: 30.62 / Max: 31.43Min: 27.5 / Avg: 28.01 / Max: 30.19Min: 26.7 / Avg: 27.03 / Max: 27.491. (CXX) g++ options: -lsnappy -lpthread

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 AtomsUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed0.22110.44220.66330.88441.1055SE +/- 0.00123, N = 3SE +/- 0.00086, N = 3SE +/- 0.00202, N = 3SE +/- 0.00123, N = 30.977190.982680.978370.97596
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810Min: 0.98 / Avg: 0.98 / Max: 0.98Min: 0.98 / Avg: 0.98 / Max: 0.98Min: 0.97 / Avg: 0.98 / Max: 0.98Min: 0.97 / Avg: 0.98 / Max: 0.98

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 QuantUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed20K40K60K80K100KSE +/- 67.67, N = 3SE +/- 73.74, N = 3SE +/- 44.75, N = 3SE +/- 19.54, N = 390286.290878.090284.490079.2
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed16K32K48K64K80KMin: 90181.1 / Avg: 90286.23 / Max: 90412.6Min: 90752.9 / Avg: 90878.03 / Max: 91008.2Min: 90195.2 / Avg: 90284.37 / Max: 90335.6Min: 90045.6 / Avg: 90079.2 / Max: 90113.3

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed20K40K60K80K100KSE +/- 59.33, N = 3SE +/- 36.06, N = 3SE +/- 83.96, N = 3SE +/- 41.21, N = 387493.188258.687810.987430.3
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed15K30K45K60K75KMin: 87414.6 / Avg: 87493.1 / Max: 87609.4Min: 88214.5 / Avg: 88258.63 / Max: 88330.1Min: 87723.3 / Avg: 87810.93 / Max: 87978.8Min: 87349.3 / Avg: 87430.3 / Max: 87484

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed30K60K90K120K150KSE +/- 20.08, N = 3SE +/- 67.98, N = 3SE +/- 69.22, N = 3SE +/- 21.14, N = 3127956128302129099127967
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed20K40K60K80K100KMin: 127917 / Avg: 127956.33 / Max: 127983Min: 128214 / Avg: 128302.33 / Max: 128436Min: 128961 / Avg: 129099.33 / Max: 129173Min: 127937 / Avg: 127967.33 / Max: 128008

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed30K60K90K120K150KSE +/- 340.53, N = 3SE +/- 195.25, N = 3SE +/- 181.79, N = 3SE +/- 259.29, N = 3118100117441116724116137
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed20K40K60K80K100KMin: 117655 / Avg: 118100 / Max: 118769Min: 117053 / Avg: 117441.33 / Max: 117671Min: 116506 / Avg: 116724 / Max: 117085Min: 115774 / Avg: 116136.67 / Max: 116639

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780900K1800K2700K3600K4500KSE +/- 31411.63, N = 3SE +/- 7677.96, N = 3SE +/- 4720.39, N = 3421910539701793831517-O21. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780700K1400K2100K2800K3500KMin: 4187459 / Avg: 4219105.33 / Max: 4281928Min: 3956807 / Avg: 3970179 / Max: 3983403Min: 3826639 / Avg: 3831517 / Max: 38409561. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 3378020M40M60M80M100MSE +/- 116666.65, N = 3SE +/- 87613.91, N = 3SE +/- 27355.59, N = 399244113101652315101535961-O21. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 3378020M40M60M80M100MMin: 99114924 / Avg: 99244113 / Max: 99476981Min: 101479523 / Avg: 101652314.67 / Max: 101763927Min: 101481315 / Avg: 101535961 / Max: 1015655961. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1428425670SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 363.8763.8663.9763.64MIN: 63.01-O2 - MIN: 63.2MIN: 63.43MIN: 63.151. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1326395265Min: 63.76 / Avg: 63.87 / Max: 64Min: 63.74 / Avg: 63.86 / Max: 63.96Min: 63.83 / Avg: 63.97 / Max: 64.09Min: 63.62 / Avg: 63.64 / Max: 63.661. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810SE +/- 0.03569, N = 3SE +/- 0.00859, N = 3SE +/- 0.04482, N = 3SE +/- 0.03276, N = 37.682297.177257.059747.00493MIN: 7.28-O2 - MIN: 6.9MIN: 6.79MIN: 6.71. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed3691215Min: 7.61 / Avg: 7.68 / Max: 7.73Min: 7.17 / Avg: 7.18 / Max: 7.19Min: 6.99 / Avg: 7.06 / Max: 7.14Min: 6.95 / Avg: 7 / Max: 7.071. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed816243240SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 332.7032.0131.2231.38MIN: 31.08-O2 - MIN: 30.67MIN: 29.81MIN: 29.811. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed714212835Min: 32.55 / Avg: 32.7 / Max: 32.89Min: 31.81 / Avg: 32.01 / Max: 32.22Min: 31.1 / Avg: 31.22 / Max: 31.33Min: 31.35 / Avg: 31.38 / Max: 31.411. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 1,000Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1428425670SE +/- 0.00, N = 3SE +/- 0.21, N = 3SE +/- 0.12, N = 3SE +/- 0.54, N = 355.5060.3552.6761.81-O2-O2-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake-O21. (CC) gcc options: -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1224364860Min: 55.5 / Avg: 55.5 / Max: 55.5Min: 60.03 / Avg: 60.35 / Max: 60.75Min: 52.44 / Avg: 52.67 / Max: 52.81Min: 60.88 / Avg: 61.81 / Max: 62.731. (CC) gcc options: -ldl -lz -lpthread

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: 2to3Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed70140210280350278292255311

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: Wavelet BlurUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1326395265SE +/- 0.20, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 355.0255.0844.8856.27
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1122334455Min: 54.7 / Avg: 55.02 / Max: 55.37Min: 54.9 / Avg: 55.08 / Max: 55.29Min: 44.78 / Avg: 44.88 / Max: 44.96Min: 56.24 / Avg: 56.27 / Max: 56.3

Himeno Benchmark

The Himeno benchmark is a linear solver of pressure Poisson using a point-Jacobi method. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed9001800270036004500SE +/- 10.55, N = 3SE +/- 1.02, N = 3SE +/- 1.81, N = 3SE +/- 2.23, N = 33994.374005.434250.714023.60-pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake1. (CC) gcc options: -O3 -mavx2
OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed7001400210028003500Min: 3982.26 / Avg: 3994.37 / Max: 4015.38Min: 4003.48 / Avg: 4005.43 / Max: 4006.94Min: 4247.14 / Avg: 4250.71 / Max: 4253.06Min: 4020.14 / Avg: 4023.6 / Max: 4027.761. (CC) gcc options: -O3 -mavx2

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 TimeUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1224364860SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 349.7650.6751.0254.081. Ubuntu 20.10 20200929: RawTherapee, version 5.8, command line.2. Fedora Workstation 33 Beta: RawTherapee, version 5.8, command line.3. Clear Linux 33780: RawTherapee, version , command line.4. openSUSE Tumbleweed: RawTherapee, version 5.8, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1122334455Min: 49.74 / Avg: 49.76 / Max: 49.78Min: 50.58 / Avg: 50.67 / Max: 50.73Min: 50.88 / Avg: 51.02 / Max: 51.09Min: 54.04 / Avg: 54.08 / Max: 54.151. Ubuntu 20.10 20200929: RawTherapee, version 5.8, command line.2. Fedora Workstation 33 Beta: RawTherapee, version 5.8, command line.3. Clear Linux 33780: RawTherapee, version , command line.4. openSUSE Tumbleweed: RawTherapee, version 5.8, command line.

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: 19Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1428425670SE +/- 0.23, N = 3SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 360.360.262.260.0-pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake1. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1224364860Min: 59.8 / Avg: 60.27 / Max: 60.5Min: 59.8 / Avg: 60.2 / Max: 60.4Min: 62.1 / Avg: 62.23 / Max: 62.3Min: 59.7 / Avg: 59.97 / Max: 60.21. (CC) gcc options: -O3 -pthread -lz -llzma

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 EnhanceUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1224364860SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 352.0550.4446.5151.92
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1020304050Min: 51.98 / Avg: 52.05 / Max: 52.18Min: 50.36 / Avg: 50.44 / Max: 50.55Min: 46.48 / Avg: 46.51 / Max: 46.52Min: 51.86 / Avg: 51.92 / Max: 51.96

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 CompileUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1122334455SE +/- 0.85, N = 3SE +/- 0.67, N = 3SE +/- 0.60, N = 3SE +/- 0.64, N = 449.4646.7243.2445.25
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1020304050Min: 48.36 / Avg: 49.46 / Max: 51.13Min: 45.99 / Avg: 46.72 / Max: 48.06Min: 42.41 / Avg: 43.24 / Max: 44.4Min: 44.46 / Avg: 45.25 / Max: 47.17

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: ETC1SUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1224364860SE +/- 0.42, N = 3SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 0.66, N = 345.9754.6443.4445.33-O3-O2-O3-O31. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1122334455Min: 45.22 / Avg: 45.97 / Max: 46.67Min: 54.46 / Avg: 54.64 / Max: 54.97Min: 43.37 / Avg: 43.44 / Max: 43.5Min: 44.06 / Avg: 45.33 / Max: 46.251. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -rdynamic -lm -lpthread

Git

This test measures the time needed to carry out some sample Git operations on an example, static repository that happens to be a copy of the GNOME GTK tool-kit repository. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1122334455SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 348.6347.2445.2446.571. Ubuntu 20.10 20200929: git version 2.27.02. Fedora Workstation 33 Beta: git version 2.28.03. Clear Linux 33780: git version 2.28.04. openSUSE Tumbleweed: git version 2.28.0
OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1020304050Min: 48.51 / Avg: 48.63 / Max: 48.78Min: 47.19 / Avg: 47.24 / Max: 47.27Min: 45.1 / Avg: 45.24 / Max: 45.43Min: 46.4 / Avg: 46.57 / Max: 46.651. Ubuntu 20.10 20200929: git version 2.27.02. Fedora Workstation 33 Beta: git version 2.28.03. Clear Linux 33780: git version 2.28.04. openSUSE Tumbleweed: git version 2.28.0

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: goUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed50100150200250SE +/- 0.33, N = 3205229198246
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed4080120160200Min: 246 / Avg: 246.33 / Max: 247

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 CompileUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1122334455SE +/- 0.16, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 349.1545.9839.7345.47
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1020304050Min: 48.9 / Avg: 49.15 / Max: 49.44Min: 45.89 / Avg: 45.98 / Max: 46.15Min: 39.63 / Avg: 39.73 / Max: 39.79Min: 45.33 / Avg: 45.47 / Max: 45.68

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: 2Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1020304050SE +/- 0.29, N = 3SE +/- 0.16, N = 3SE +/- 0.22, N = 3SE +/- 0.38, N = 342.9942.0738.9040.891. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed918273645Min: 42.41 / Avg: 42.99 / Max: 43.33Min: 41.78 / Avg: 42.07 / Max: 42.33Min: 38.52 / Avg: 38.9 / Max: 39.27Min: 40.33 / Avg: 40.89 / Max: 41.611. (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: Rotate 90 DegreesUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed918273645SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 337.7737.6035.5039.95
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed816243240Min: 37.67 / Avg: 37.77 / Max: 37.92Min: 37.57 / Avg: 37.59 / Max: 37.64Min: 35.48 / Avg: 35.5 / Max: 35.52Min: 39.83 / Avg: 39.95 / Max: 40.08

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 3Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed918273645SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 336.4439.0336.7635.48-O3-O2-O3-O31. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed816243240Min: 36.39 / Avg: 36.44 / Max: 36.49Min: 39 / Avg: 39.03 / Max: 39.04Min: 36.74 / Avg: 36.76 / Max: 36.8Min: 35.44 / Avg: 35.48 / Max: 35.531. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -rdynamic -lm -lpthread

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed4080120160200SE +/- 0.83, N = 3SE +/- 0.21, N = 3SE +/- 0.49, N = 3SE +/- 1.85, N = 3190.42168.75156.34159.35MIN: 187.05-O2 - MIN: 166.69MIN: 154.1MIN: 155.51. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed306090120150Min: 189.19 / Avg: 190.42 / Max: 192Min: 168.35 / Avg: 168.75 / Max: 169.05Min: 155.45 / Avg: 156.34 / Max: 157.14Min: 156.51 / Avg: 159.35 / Max: 162.821. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 CompressionUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed918273645SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 337.6638.1632.7537.82-O2 -ltiff-O2 -ltiff-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -ltiff-O21. (CC) gcc options: -fvisibility=hidden -pthread -lm -ljpeg -lpng16
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed816243240Min: 37.63 / Avg: 37.66 / Max: 37.69Min: 37.94 / Avg: 38.16 / Max: 38.27Min: 32.67 / Avg: 32.75 / Max: 32.84Min: 37.62 / Avg: 37.82 / Max: 37.951. (CC) gcc options: -fvisibility=hidden -pthread -lm -ljpeg -lpng16

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 Inference - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1632486480SE +/- 0.57, N = 3SE +/- 0.37, N = 3SE +/- 0.04, N = 3SE +/- 0.55, N = 373.5853.7448.1548.21MIN: 71.21-O2 - MIN: 51.31MIN: 46.52MIN: 45.81. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1428425670Min: 72.73 / Avg: 73.58 / Max: 74.67Min: 53.09 / Avg: 53.74 / Max: 54.37Min: 48.07 / Avg: 48.15 / Max: 48.2Min: 47.2 / Avg: 48.21 / Max: 49.091. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed816243240SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 335.3234.9333.8636.90
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed816243240Min: 35.29 / Avg: 35.32 / Max: 35.36Min: 34.92 / Avg: 34.93 / Max: 34.95Min: 33.79 / Avg: 33.86 / Max: 33.99Min: 36.84 / Avg: 36.9 / Max: 36.96

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed160K320K480K640K800KSE +/- 2918.93, N = 3SE +/- 656.29, N = 3SE +/- 4785.64, N = 3SE +/- 1709.93, N = 3687280.77643394.64728013.38666366.94-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake1. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed130K260K390K520K650KMin: 683479.42 / Avg: 687280.77 / Max: 693018.48Min: 642130.92 / Avg: 643394.64 / Max: 644333.74Min: 722190.64 / Avg: 728013.38 / Max: 737503.41Min: 663451.79 / Avg: 666366.94 / Max: 669373.081. (CC) gcc options: -O2 -lrt" -lrt

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek RandomUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed816243240SE +/- 0.20, N = 3SE +/- 0.15, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 334.1535.8633.9832.80-O3-O2-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsqlite3-O31. (CXX) g++ options: -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek RandomUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed816243240Min: 33.75 / Avg: 34.15 / Max: 34.38Min: 35.64 / Avg: 35.86 / Max: 36.16Min: 33.92 / Avg: 33.98 / Max: 34.09Min: 32.47 / Avg: 32.8 / Max: 33.031. (CXX) g++ options: -lsnappy -lpthread

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: django_templateUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1122334455SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 338.544.938.349.9
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1020304050Min: 38.5 / Avg: 38.53 / Max: 38.6Min: 44.8 / Avg: 44.9 / Max: 45Min: 38.3 / Avg: 38.33 / Max: 38.4Min: 49.9 / Avg: 49.93 / Max: 50

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed4080120160200135153134166

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: 3Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed11002200330044005500SE +/- 36.88, N = 3SE +/- 19.66, N = 3SE +/- 12.17, N = 3SE +/- 15.85, N = 34886.64863.44909.44959.5-pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake1. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed9001800270036004500Min: 4817.1 / Avg: 4886.57 / Max: 4942.8Min: 4827.9 / Avg: 4863.43 / Max: 4895.8Min: 4887.7 / Avg: 4909.4 / Max: 4929.8Min: 4928.9 / Avg: 4959.5 / Max: 49821. (CC) gcc options: -O3 -pthread -lz -llzma

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed714212835SE +/- 0.09, N = 3SE +/- 0.34, N = 3SE +/- 0.10, N = 3SE +/- 0.21, N = 327.5530.9727.6327.47-O3-O2-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsqlite3-O31. (CXX) g++ options: -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed714212835Min: 27.37 / Avg: 27.55 / Max: 27.68Min: 30.52 / Avg: 30.97 / Max: 31.63Min: 27.44 / Avg: 27.63 / Max: 27.74Min: 27.1 / Avg: 27.46 / Max: 27.831. (CXX) g++ options: -lsnappy -lpthread

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: Tile GlassUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed714212835SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 328.7227.8327.3429.67
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile GlassUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed714212835Min: 28.66 / Avg: 28.72 / Max: 28.77Min: 27.8 / Avg: 27.83 / Max: 27.85Min: 27.32 / Avg: 27.34 / Max: 27.36Min: 29.58 / Avg: 29.67 / Max: 29.77

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: IMDB LSTM - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE Tumbleweed2004006008001000SE +/- 1.65, N = 3SE +/- 3.02, N = 3SE +/- 4.35, N = 3787.51770.73795.38
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE Tumbleweed140280420560700Min: 784.26 / Avg: 787.51 / Max: 789.64Min: 765.73 / Avg: 770.73 / Max: 776.17Min: 787.6 / Avg: 795.38 / Max: 802.63

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: chaosUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed306090120150SE +/- 0.06, N = 3SE +/- 0.06, N = 388.7105.087.6117.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed20406080100Min: 88.6 / Avg: 88.7 / Max: 88.8Min: 87.5 / Avg: 87.6 / Max: 87.7

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed306090120150SE +/- 0.07, N = 3SE +/- 0.03, N = 393.7106.090.2114.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed20406080100Min: 93.6 / Avg: 93.67 / Max: 93.8Min: 90.2 / Avg: 90.23 / Max: 90.3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed306090120150SE +/- 0.06, N = 3SE +/- 0.03, N = 388.6104.088.4114.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed20406080100Min: 88.5 / Avg: 88.6 / Max: 88.7Min: 88.4 / Avg: 88.43 / Max: 88.5

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed306090120150SE +/- 0.06, N = 3SE +/- 0.67, N = 3107.0126.094.0145.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed306090120150Min: 93.9 / Avg: 94 / Max: 94.1Min: 144 / Avg: 144.67 / Max: 146

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed48121620SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 314.615.113.716.3
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed48121620Min: 14.5 / Avg: 14.57 / Max: 14.6Min: 15.1 / Avg: 15.1 / Max: 15.1Min: 13.6 / Avg: 13.67 / Max: 13.7Min: 16.3 / Avg: 16.33 / Max: 16.4

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed100200300400500SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 1.00, N = 3349398346446
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed80160240320400Min: 349 / Avg: 349.33 / Max: 350Min: 398 / Avg: 398.33 / Max: 399Min: 444 / Avg: 446 / Max: 447

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 TimesUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed2004006008001000SE +/- 1.00, N = 3SE +/- 1.53, N = 391410568541081
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed2004006008001000Min: 913 / Avg: 914 / Max: 916Min: 851 / Avg: 854 / Max: 856

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: ThoroughUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed48121620SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 317.9317.7617.6517.451. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed510152025Min: 17.91 / Avg: 17.93 / Max: 17.95Min: 17.75 / Avg: 17.76 / Max: 17.76Min: 17.64 / Avg: 17.65 / Max: 17.66Min: 17.44 / Avg: 17.45 / Max: 17.461. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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: json_loadsUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed612182430SE +/- 0.09, N = 3SE +/- 0.00, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 322.022.521.925.7
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed612182430Min: 21.9 / Avg: 22.03 / Max: 22.2Min: 22.5 / Avg: 22.5 / Max: 22.5Min: 21.8 / Avg: 21.93 / Max: 22.1Min: 25.6 / Avg: 25.67 / Max: 25.7

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Sequential FillUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780400K800K1200K1600K2000KSE +/- 7849.59, N = 3SE +/- 20906.40, N = 3SE +/- 10674.35, N = 3156786318029841664361-O21. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Sequential FillUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780300K600K900K1200K1500KMin: 1556058 / Avg: 1567862.67 / Max: 1582728Min: 1764671 / Avg: 1802983.67 / Max: 1836643Min: 1644581 / Avg: 1664361.33 / Max: 16812071. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed0.1650.330.4950.660.825SE +/- 0.009743, N = 12SE +/- 0.001747, N = 3SE +/- 0.004133, N = 3SE +/- 0.003270, N = 30.7332320.3694210.3810540.370271MIN: 0.61-O2 - MIN: 0.34MIN: 0.36MIN: 0.351. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810Min: 0.64 / Avg: 0.73 / Max: 0.77Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 0.38 / Avg: 0.38 / Max: 0.39Min: 0.36 / Avg: 0.37 / Max: 0.381. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed3691215SE +/- 0.00075, N = 3SE +/- 0.01309, N = 3SE +/- 0.00147, N = 3SE +/- 0.00341, N = 39.148028.958049.220908.82793MIN: 8.92-O2 - MIN: 8.67MIN: 9.08MIN: 8.741. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed3691215Min: 9.15 / Avg: 9.15 / Max: 9.15Min: 8.94 / Avg: 8.96 / Max: 8.98Min: 9.22 / Avg: 9.22 / Max: 9.22Min: 8.82 / Avg: 8.83 / Max: 8.831. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 2Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed510152025SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 320.8722.5720.2320.72-O3-O2-O3-O31. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed510152025Min: 20.82 / Avg: 20.87 / Max: 20.89Min: 22.57 / Avg: 22.57 / Max: 22.57Min: 20.21 / Avg: 20.23 / Max: 20.26Min: 20.66 / Avg: 20.72 / Max: 20.831. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -rdynamic -lm -lpthread

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed0.10490.20980.31470.41960.5245SE +/- 0.001807, N = 3SE +/- 0.001959, N = 3SE +/- 0.000033, N = 3SE +/- 0.000445, N = 30.4632720.4662560.4605950.456341MIN: 0.45-O2 - MIN: 0.45MIN: 0.45MIN: 0.441. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed12345Min: 0.46 / Avg: 0.46 / Max: 0.47Min: 0.46 / Avg: 0.47 / Max: 0.47Min: 0.46 / Avg: 0.46 / Max: 0.46Min: 0.46 / Avg: 0.46 / Max: 0.461. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed0.40110.80221.20331.60442.0055SE +/- 0.02002, N = 3SE +/- 0.00624, N = 3SE +/- 0.00301, N = 3SE +/- 0.00188, N = 31.782641.742211.705511.69896MIN: 1.71-O2 - MIN: 1.69MIN: 1.67MIN: 1.681. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810Min: 1.75 / Avg: 1.78 / Max: 1.82Min: 1.73 / Avg: 1.74 / Max: 1.75Min: 1.7 / Avg: 1.71 / Max: 1.71Min: 1.7 / Avg: 1.7 / Max: 1.71. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 TimeUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed2M4M6M8M10MSE +/- 56119.05, N = 3SE +/- 15600.26, N = 3SE +/- 10545.32, N = 3SE +/- 39588.48, N = 390405569501807935914995983271. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1.7M3.4M5.1M6.8M8.5MMin: 8928397 / Avg: 9040556.33 / Max: 9100277Min: 9471597 / Avg: 9501806.67 / Max: 9523667Min: 9346634 / Avg: 9359148.67 / Max: 9380108Min: 9521797 / Avg: 9598327.33 / Max: 96541731. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

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 v2Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed60120180240300SE +/- 0.27, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.29, N = 3297.20286.64276.90288.61-O3 - MIN: 294.96 / MAX: 312.43-O2 - MIN: 285.14 / MAX: 294.79-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 275.91 / MAX: 285.12-O3 - MIN: 286.94 / MAX: 301.681. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed50100150200250Min: 296.87 / Avg: 297.2 / Max: 297.73Min: 286.59 / Avg: 286.64 / Max: 286.72Min: 276.8 / Avg: 276.9 / Max: 277Min: 288.07 / Avg: 288.61 / Max: 289.061. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -rdynamic -ldl

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 PerformanceUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed11002200330044005500SE +/- 5.55, N = 3SE +/- 5.10, N = 3SE +/- 4.95, N = 3SE +/- 13.63, N = 35191.95175.65212.05175.9-pipe -fexceptions -fstack-protector -ffat-lto-objects -fno-trapping-math -mtune=skylake1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed9001800270036004500Min: 5183.2 / Avg: 5191.87 / Max: 5202.2Min: 5166.4 / Avg: 5175.63 / Max: 5184Min: 5204.9 / Avg: 5211.97 / Max: 5221.5Min: 5154.6 / Avg: 5175.93 / Max: 5201.31. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

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 v1.1Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed60120180240300SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 3.12, N = 3281.03279.36275.72282.46-O3 - MIN: 280.52 / MAX: 282.72-O2 - MIN: 278.84 / MAX: 280.84-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 275.44 / MAX: 276.54-O3 - MIN: 278.62 / MAX: 297.81. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed50100150200250Min: 280.98 / Avg: 281.03 / Max: 281.1Min: 279.17 / Avg: 279.36 / Max: 279.49Min: 275.64 / Avg: 275.72 / Max: 275.87Min: 279.15 / Avg: 282.46 / Max: 288.691. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -rdynamic -ldl

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 DynamicsUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed510152025SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 318.4818.3918.2818.29
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed510152025Min: 18.38 / Avg: 18.48 / Max: 18.55Min: 18.21 / Avg: 18.39 / Max: 18.54Min: 18.03 / Avg: 18.28 / Max: 18.49Min: 18.1 / Avg: 18.29 / Max: 18.44

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: MemorialUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed612182430SE +/- 0.21, N = 14SE +/- 0.34, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 322.1925.1325.1625.02
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed612182430Min: 20.06 / Avg: 22.19 / Max: 23.2Min: 24.44 / Avg: 25.13 / Max: 25.52Min: 25.04 / Avg: 25.16 / Max: 25.29Min: 24.73 / Avg: 25.02 / Max: 25.33

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, LosslessUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed48121620SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 316.9617.2015.2117.03-O2 -ltiff-O2 -ltiff-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -ltiff-O21. (CC) gcc options: -fvisibility=hidden -pthread -lm -ljpeg -lpng16
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed48121620Min: 16.94 / Avg: 16.96 / Max: 16.99Min: 17.08 / Avg: 17.2 / Max: 17.26Min: 15.12 / Avg: 15.21 / Max: 15.26Min: 16.97 / Avg: 17.03 / Max: 17.141. (CC) gcc options: -fvisibility=hidden -pthread -lm -ljpeg -lpng16

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 2.10.20Test: unsharp-maskFedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed510152025SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 317.0814.2018.74
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.20Test: unsharp-maskFedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed510152025Min: 17.07 / Avg: 17.08 / Max: 17.1Min: 14.15 / Avg: 14.2 / Max: 14.22Min: 18.53 / Avg: 18.74 / Max: 18.91

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 1D - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed0.52211.04421.56632.08842.6105SE +/- 0.03226, N = 4SE +/- 0.00643, N = 3SE +/- 0.00286, N = 3SE +/- 0.00089, N = 32.320482.223592.212862.21072MIN: 2.13-O2 - MIN: 2.04MIN: 2.14MIN: 2.131. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810Min: 2.23 / Avg: 2.32 / Max: 2.38Min: 2.21 / Avg: 2.22 / Max: 2.23Min: 2.21 / Avg: 2.21 / Max: 2.22Min: 2.21 / Avg: 2.21 / Max: 2.211. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810SE +/- 0.043, N = 3SE +/- 0.051, N = 3SE +/- 0.005, N = 3SE +/- 0.037, N = 35.2055.6646.1125.8221. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810Min: 5.13 / Avg: 5.2 / Max: 5.28Min: 5.6 / Avg: 5.66 / Max: 5.77Min: 6.1 / Avg: 6.11 / Max: 6.12Min: 5.75 / Avg: 5.82 / Max: 5.871. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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: TradebeansUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 337802K4K6K8K10KSE +/- 100.02, N = 4SE +/- 97.67, N = 4SE +/- 14.92, N = 4747578542819
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 3378014002800420056007000Min: 7254 / Avg: 7475 / Max: 7719Min: 7674 / Avg: 7854.25 / Max: 8055Min: 2791 / Avg: 2819 / Max: 2857

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 1D - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1.25892.51783.77675.03566.2945SE +/- 0.03159, N = 3SE +/- 0.03682, N = 3SE +/- 0.01117, N = 3SE +/- 0.00504, N = 35.581135.595285.492185.47601MIN: 5.43-O2 - MIN: 5.41MIN: 5.43MIN: 5.381. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810Min: 5.52 / Avg: 5.58 / Max: 5.63Min: 5.52 / Avg: 5.6 / Max: 5.64Min: 5.48 / Avg: 5.49 / Max: 5.51Min: 5.47 / Avg: 5.48 / Max: 5.481. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed0.13430.26860.40290.53720.6715SE +/- 0.005982, N = 3SE +/- 0.007438, N = 3SE +/- 0.000503, N = 3SE +/- 0.000391, N = 30.5970880.5331890.5167540.513249MIN: 0.56-O2 - MIN: 0.49MIN: 0.5MIN: 0.51. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810Min: 0.59 / Avg: 0.6 / Max: 0.61Min: 0.53 / Avg: 0.53 / Max: 0.55Min: 0.52 / Avg: 0.52 / Max: 0.52Min: 0.51 / Avg: 0.51 / Max: 0.511. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Node.js Express HTTP Load Test

A Node.js Express server with a Node-based loadtest client for facilitating HTTP benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterNode.js Express HTTP Load TestUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 337802K4K6K8K10KSE +/- 11.79, N = 3SE +/- 4.91, N = 3SE +/- 12.29, N = 36885622898591. Ubuntu 20.10 20200929: Nodejs v12.18.22. Fedora Workstation 33 Beta: Nodejs3. Clear Linux 33780: Nodejs
OpenBenchmarking.orgRequests Per Second, More Is BetterNode.js Express HTTP Load TestUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 337802K4K6K8K10KMin: 6869 / Avg: 6885 / Max: 6908Min: 6222 / Avg: 6228.33 / Max: 6238Min: 9836 / Avg: 9859 / Max: 98781. Ubuntu 20.10 20200929: Nodejs v12.18.22. Fedora Workstation 33 Beta: Nodejs3. Clear Linux 33780: Nodejs

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 2.10.20Test: auto-levelsFedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed48121620SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 313.3711.3915.97
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.20Test: auto-levelsFedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed48121620Min: 13.31 / Avg: 13.37 / Max: 13.43Min: 11.33 / Avg: 11.39 / Max: 11.43Min: 15.9 / Avg: 15.97 / Max: 16.02

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. The number of iterations used is 1,000,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed200K400K600K800K1000KSE +/- 1520.41, N = 3SE +/- 582.41, N = 3SE +/- 8801.15, N = 3SE +/- 4500.90, N = 3783084775695974508673377
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed200K400K600K800K1000KMin: 781408 / Avg: 783083.67 / Max: 786119Min: 774995 / Avg: 775694.67 / Max: 776851Min: 956914 / Avg: 974508.33 / Max: 983764Min: 664384 / Avg: 673376.67 / Max: 678224

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 2.10.20Test: rotateFedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed48121620SE +/- 0.029, N = 3SE +/- 0.003, N = 3SE +/- 0.020, N = 312.0989.78614.820
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.20Test: rotateFedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed48121620Min: 12.05 / Avg: 12.1 / Max: 12.15Min: 9.78 / Avg: 9.79 / Max: 9.79Min: 14.79 / Avg: 14.82 / Max: 14.86

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: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed0.35760.71521.07281.43041.788SE +/- 0.00344, N = 3SE +/- 0.00837, N = 3SE +/- 0.01165, N = 3SE +/- 0.00293, N = 31.589321.446571.502101.46012MIN: 1.53-O2 - MIN: 1.36MIN: 1.42MIN: 1.391. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810Min: 1.59 / Avg: 1.59 / Max: 1.6Min: 1.43 / Avg: 1.45 / Max: 1.46Min: 1.49 / Avg: 1.5 / Max: 1.52Min: 1.45 / Avg: 1.46 / Max: 1.471. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed0.39770.79541.19311.59081.9885SE +/- 0.00967, N = 3SE +/- 0.01563, N = 3SE +/- 0.00724, N = 3SE +/- 0.00363, N = 31.767561.751591.713721.70157MIN: 1.65-O2 - MIN: 1.64MIN: 1.62MIN: 1.631. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810Min: 1.75 / Avg: 1.77 / Max: 1.78Min: 1.73 / Avg: 1.75 / Max: 1.78Min: 1.71 / Avg: 1.71 / Max: 1.73Min: 1.7 / Avg: 1.7 / Max: 1.711. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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: TradesoapUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 337808001600240032004000SE +/- 30.86, N = 4SE +/- 21.24, N = 4SE +/- 25.26, N = 4346935982892
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 337806001200180024003000Min: 3400 / Avg: 3468.75 / Max: 3535Min: 3537 / Avg: 3598 / Max: 3628Min: 2829 / Avg: 2891.75 / Max: 2941

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed10002000300040005000SE +/- 54.09, N = 5SE +/- 43.70, N = 4SE +/- 13.92, N = 4SE +/- 22.54, N = 44595427633924452
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed8001600240032004000Min: 4429 / Avg: 4595.2 / Max: 4763Min: 4218 / Avg: 4276 / Max: 4404Min: 3368 / Avg: 3391.75 / Max: 3424Min: 4425 / Avg: 4451.5 / Max: 4519

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Boat - Acceleration: CPU-onlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810SE +/- 0.022, N = 3SE +/- 0.011, N = 3SE +/- 0.014, N = 3SE +/- 0.017, N = 38.3538.4638.2208.351
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Boat - Acceleration: CPU-onlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed3691215Min: 8.31 / Avg: 8.35 / Max: 8.39Min: 8.44 / Avg: 8.46 / Max: 8.48Min: 8.2 / Avg: 8.22 / Max: 8.25Min: 8.32 / Avg: 8.35 / Max: 8.37

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 2.10.20Test: resizeFedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed3691215SE +/- 0.047, N = 3SE +/- 0.042, N = 3SE +/- 0.042, N = 38.0136.46011.706
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.20Test: resizeFedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed3691215Min: 7.93 / Avg: 8.01 / Max: 8.09Min: 6.41 / Avg: 6.46 / Max: 6.55Min: 11.64 / Avg: 11.71 / Max: 11.78

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: 1080pUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1122334455SE +/- 0.27, N = 3SE +/- 0.08, N = 3SE +/- 0.20, N = 3SE +/- 0.16, N = 342.5747.0450.8747.021. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1020304050Min: 42.07 / Avg: 42.57 / Max: 43.01Min: 46.93 / Avg: 47.04 / Max: 47.2Min: 50.47 / Avg: 50.87 / Max: 51.11Min: 46.77 / Avg: 47.02 / Max: 47.321. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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: JythonUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed9001800270036004500SE +/- 24.35, N = 4SE +/- 23.83, N = 4SE +/- 9.25, N = 4SE +/- 14.70, N = 43857401932543845
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed7001400210028003500Min: 3821 / Avg: 3857.25 / Max: 3928Min: 3970 / Avg: 4018.5 / Max: 4067Min: 3239 / Avg: 3254.25 / Max: 3281Min: 3805 / Avg: 3844.5 / Max: 3874

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 0Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810SE +/- 0.003, N = 3SE +/- 0.005, N = 3SE +/- 0.008, N = 3SE +/- 0.036, N = 37.0627.6646.4696.664-O3-O2-O3-O31. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 0Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed3691215Min: 7.06 / Avg: 7.06 / Max: 7.07Min: 7.66 / Avg: 7.66 / Max: 7.67Min: 6.45 / Avg: 6.47 / Max: 6.48Min: 6.62 / Avg: 6.66 / Max: 6.731. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -rdynamic -lm -lpthread

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810SE +/- 0.01495, N = 3SE +/- 0.04760, N = 3SE +/- 0.00386, N = 3SE +/- 0.00284, N = 38.018578.029117.990687.95411MIN: 7.6-O2 - MIN: 7.67MIN: 7.71MIN: 7.651. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed3691215Min: 7.99 / Avg: 8.02 / Max: 8.04Min: 7.93 / Avg: 8.03 / Max: 8.08Min: 7.98 / Avg: 7.99 / Max: 8Min: 7.95 / Avg: 7.95 / Max: 7.961. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 37.016.956.866.681. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed3691215Min: 6.99 / Avg: 7.01 / Max: 7.03Min: 6.94 / Avg: 6.95 / Max: 6.95Min: 6.85 / Avg: 6.86 / Max: 6.86Min: 6.67 / Avg: 6.68 / Max: 6.71. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810SE +/- 0.003, N = 3SE +/- 0.018, N = 3SE +/- 0.007, N = 3SE +/- 0.004, N = 36.6336.6076.2666.560-O2 -ltiff-O2 -ltiff-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -ltiff-O21. (CC) gcc options: -fvisibility=hidden -pthread -lm -ljpeg -lpng16
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed3691215Min: 6.63 / Avg: 6.63 / Max: 6.64Min: 6.58 / Avg: 6.61 / Max: 6.64Min: 6.26 / Avg: 6.27 / Max: 6.28Min: 6.55 / Avg: 6.56 / Max: 6.571. (CC) gcc options: -fvisibility=hidden -pthread -lm -ljpeg -lpng16

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: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed3691215SE +/- 0.02565, N = 3SE +/- 0.01577, N = 3SE +/- 0.04894, N = 3SE +/- 0.01124, N = 39.449859.312769.174999.05209MIN: 9.33-O2 - MIN: 9.21MIN: 9.05MIN: 8.981. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed3691215Min: 9.4 / Avg: 9.45 / Max: 9.48Min: 9.29 / Avg: 9.31 / Max: 9.34Min: 9.12 / Avg: 9.17 / Max: 9.27Min: 9.03 / Avg: 9.05 / Max: 9.071. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 ProteinUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 337803691215SE +/- 0.061, N = 3SE +/- 0.259, N = 15SE +/- 0.126, N = 38.1939.32011.876-O3-O2-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake1. (CXX) g++ options: -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 337803691215Min: 8.08 / Avg: 8.19 / Max: 8.29Min: 7.9 / Avg: 9.32 / Max: 10.89Min: 11.73 / Avg: 11.88 / Max: 12.131. (CXX) g++ options: -pthread -lm

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: u8s8f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed0.16640.33280.49920.66560.832SE +/- 0.007689, N = 3SE +/- 0.007849, N = 15SE +/- 0.000320, N = 3SE +/- 0.000671, N = 30.7394860.6846230.6071050.603088MIN: 0.7-O2 - MIN: 0.62MIN: 0.6MIN: 0.591. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810Min: 0.73 / Avg: 0.74 / Max: 0.75Min: 0.65 / Avg: 0.68 / Max: 0.75Min: 0.61 / Avg: 0.61 / Max: 0.61Min: 0.6 / Avg: 0.6 / Max: 0.61. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed3691215SE +/- 0.03370, N = 3SE +/- 0.02520, N = 3SE +/- 0.00277, N = 3SE +/- 0.05240, N = 310.009599.808009.629949.80882MIN: 9.86-O2 - MIN: 9.68MIN: 9.56MIN: 9.591. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed3691215Min: 9.94 / Avg: 10.01 / Max: 10.05Min: 9.77 / Avg: 9.81 / Max: 9.86Min: 9.63 / Avg: 9.63 / Max: 9.64Min: 9.73 / Avg: 9.81 / Max: 9.911. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 ThroughputUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed50100150200250SE +/- 0.18, N = 3SE +/- 0.32, N = 3SE +/- 0.42, N = 3SE +/- 0.12, N = 3216.39216.44217.10217.65-pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake1. (CC) gcc options: -O3 -rdynamic
OpenBenchmarking.orgMegapixels/sec, More Is Betterlibjpeg-turbo tjbench 2.0.2Test: Decompression ThroughputUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed4080120160200Min: 216.03 / Avg: 216.39 / Max: 216.57Min: 215.85 / Avg: 216.44 / Max: 216.95Min: 216.29 / Avg: 217.1 / Max: 217.68Min: 217.43 / Avg: 217.65 / Max: 217.841. (CC) gcc options: -O3 -rdynamic

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: FastUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1.14532.29063.43594.58125.7265SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 35.095.065.054.881. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810Min: 5.07 / Avg: 5.09 / Max: 5.1Min: 5.05 / Avg: 5.06 / Max: 5.07Min: 5.03 / Avg: 5.05 / Max: 5.08Min: 4.85 / Avg: 4.88 / Max: 4.931. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -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: 8Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810SE +/- 0.014, N = 3SE +/- 0.017, N = 3SE +/- 0.026, N = 3SE +/- 0.022, N = 35.2616.0833.9734.1581. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810Min: 5.24 / Avg: 5.26 / Max: 5.29Min: 6.05 / Avg: 6.08 / Max: 6.11Min: 3.93 / Avg: 3.97 / Max: 4.02Min: 4.13 / Avg: 4.16 / Max: 4.21. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1.32862.65723.98585.31446.643SE +/- 0.024, N = 3SE +/- 0.011, N = 3SE +/- 0.012, N = 3SE +/- 0.007, N = 35.0765.9053.8364.0581. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810Min: 5.04 / Avg: 5.08 / Max: 5.12Min: 5.88 / Avg: 5.91 / Max: 5.92Min: 3.81 / Avg: 3.84 / Max: 3.85Min: 4.05 / Avg: 4.06 / Max: 4.071. (CXX) g++ options: -O3 -fPIC

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Masskrug - Acceleration: CPU-onlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed0.73731.47462.21192.94923.6865SE +/- 0.013, N = 3SE +/- 0.005, N = 3SE +/- 0.000, N = 3SE +/- 0.018, N = 33.2723.2772.9053.257
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Masskrug - Acceleration: CPU-onlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810Min: 3.25 / Avg: 3.27 / Max: 3.3Min: 3.27 / Avg: 3.28 / Max: 3.29Min: 2.9 / Avg: 2.9 / Max: 2.91Min: 3.24 / Avg: 3.26 / Max: 3.29

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Room - Acceleration: CPU-onlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed0.67011.34022.01032.68043.3505SE +/- 0.006, N = 3SE +/- 0.008, N = 3SE +/- 0.007, N = 3SE +/- 0.001, N = 32.6792.6892.7632.978
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Room - Acceleration: CPU-onlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810Min: 2.67 / Avg: 2.68 / Max: 2.69Min: 2.68 / Avg: 2.69 / Max: 2.7Min: 2.76 / Avg: 2.76 / Max: 2.78Min: 2.98 / Avg: 2.98 / Max: 2.98

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: bf16bf16bf16 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed3691215SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 310.9210.9110.8510.78MIN: 10.73-O2 - MIN: 10.71MIN: 10.72MIN: 10.671. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed3691215Min: 10.87 / Avg: 10.92 / Max: 10.96Min: 10.88 / Avg: 10.91 / Max: 10.94Min: 10.82 / Avg: 10.85 / Max: 10.88Min: 10.78 / Avg: 10.78 / Max: 10.781. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed0.65081.30161.95242.60323.254SE +/- 0.03490, N = 3SE +/- 0.01296, N = 3SE +/- 0.00552, N = 3SE +/- 0.00447, N = 32.892462.641082.604982.58030MIN: 2.77-O2 - MIN: 2.58MIN: 2.58MIN: 2.551. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810Min: 2.84 / Avg: 2.89 / Max: 2.96Min: 2.62 / Avg: 2.64 / Max: 2.67Min: 2.6 / Avg: 2.6 / Max: 2.62Min: 2.58 / Avg: 2.58 / Max: 2.591. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 1080pUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed60120180240300SE +/- 1.24, N = 3SE +/- 1.39, N = 3SE +/- 0.77, N = 3SE +/- 1.16, N = 3254.11251.98268.78255.98-O21. (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 1080pUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed50100150200250Min: 252.42 / Avg: 254.11 / Max: 256.52Min: 249.38 / Avg: 251.98 / Max: 254.13Min: 267.38 / Avg: 268.78 / Max: 270.03Min: 253.7 / Avg: 255.98 / Max: 257.511. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

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 RoutineUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed11K22K33K44K55KSE +/- 185.91, N = 3SE +/- 141.79, N = 3SE +/- 331.24, N = 3SE +/- 753.53, N = 352659.2148693.6748688.7545877.801. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed9K18K27K36K45KMin: 52311.83 / Avg: 52659.21 / Max: 52947.72Min: 48507.16 / Avg: 48693.67 / Max: 48971.92Min: 48315.39 / Avg: 48688.75 / Max: 49349.36Min: 44571.64 / Avg: 45877.8 / Max: 47181.951. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

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 1080pUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed70140210280350SE +/- 4.02, N = 4SE +/- 4.41, N = 3SE +/- 3.43, N = 3SE +/- 2.74, N = 3312.25308.51321.45309.81-O21. (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 1080pUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed60120180240300Min: 300.6 / Avg: 312.25 / Max: 318.98Min: 299.7 / Avg: 308.51 / Max: 313.32Min: 314.63 / Avg: 321.45 / Max: 325.56Min: 304.57 / Avg: 309.81 / Max: 313.811. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Rack - Acceleration: CPU-onlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed0.02970.05940.08910.11880.1485SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 30.1280.1300.1250.132
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Rack - Acceleration: CPU-onlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed12345Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 0.12 / Avg: 0.12 / Max: 0.13Min: 0.13 / Avg: 0.13 / Max: 0.14

158 Results Shown

LAMMPS Molecular Dynamics Simulator
PlaidML
Basis Universal
Blender
Crypto++
Java Gradle Build
PlaidML
AI Benchmark Alpha:
  Device AI Score
  Device Training Score
  Device Inference Score
PlaidML
BRL-CAD
Blender:
  Pabellon Barcelona - CPU-Only
  Classroom - CPU-Only
CP2K Molecular Dynamics
Mobile Neural Network:
  inception-v3
  MobileNetV2_224
  resnet-v2-50
  SqueezeNetV1.0
Kripke
High Performance Conjugate Gradient
Hierarchical INTegration
Algebraic Multi-Grid Benchmark
Caffe
PyPerformance
PlaidML
Appleseed
ASTC Encoder
asmFish
Timed HMMer Search
Blender
GROMACS
Mobile Neural Network
PlaidML
DeepSpeech
OpenVKL
TensorFlow Lite
NCNN:
  CPU-v3-v3 - mobilenet-v3
  CPU-v2-v2 - mobilenet-v2
Blender
PlaidML
TensorFlow Lite
Appleseed:
  Material Tester
  Disney Material
Facebook RocksDB
Caffe
PyPerformance
NCNN:
  CPU - shufflenet-v2
  CPU - yolov4-tiny
  CPU - resnet50
  CPU - alexnet
  CPU - resnet18
  CPU - vgg16
  CPU - googlenet
  CPU - blazeface
  CPU - efficientnet-b0
  CPU - mnasnet
  CPU - mobilenet
  CPU - squeezenet
libavif avifenc
LevelDB
NAMD
TensorFlow Lite:
  Mobilenet Quant
  Mobilenet Float
  SqueezeNet
  NASNet Mobile
Facebook RocksDB:
  Read While Writing
  Rand Read
oneDNN:
  IP Batch All - bf16bf16bf16 - CPU
  IP Batch All - u8s8f32 - CPU
  IP Batch All - f32 - CPU
SQLite Speedtest
PyPerformance
GEGL
Himeno Benchmark
RawTherapee
Zstd Compression
GEGL
Timed Linux Kernel Compilation
Basis Universal
Git
PyPerformance
Timed PHP Compilation
libavif avifenc
GEGL
Basis Universal
oneDNN
WebP Image Encode
oneDNN
GEGL
Coremark
LevelDB
PyPerformance:
  django_template
  regex_compile
Zstd Compression
LevelDB
GEGL
PlaidML
PyPerformance:
  chaos
  float
  crypto_pyaes
  nbody
  pathlib
  pickle_pure_python
PyBench
ASTC Encoder
PyPerformance
Facebook RocksDB
oneDNN:
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
  Deconvolution Batch deconv_1d - bf16bf16bf16 - CPU
Basis Universal
oneDNN:
  Deconvolution Batch deconv_1d - u8s8f32 - CPU
  Deconvolution Batch deconv_1d - f32 - CPU
Crafty
TNN
OpenSSL
TNN
Dolfyn
Intel Open Image Denoise
WebP Image Encode
GIMP
oneDNN
SVT-AV1
DaCapo Benchmark
oneDNN:
  IP Batch 1D - bf16bf16bf16 - CPU
  IP Batch 1D - u8s8f32 - CPU
Node.js Express HTTP Load Test
GIMP
PHPBench
GIMP
oneDNN:
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPU
DaCapo Benchmark:
  Tradesoap
  H2
Darktable
GIMP
SVT-AV1
DaCapo Benchmark
Basis Universal
oneDNN
ASTC Encoder
WebP Image Encode
oneDNN
LAMMPS Molecular Dynamics Simulator
oneDNN:
  Deconvolution Batch deconv_3d - u8s8f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
libjpeg-turbo tjbench
ASTC Encoder
libavif avifenc:
  8
  10
Darktable:
  Masskrug - CPU-only
  Server Room - CPU-only
oneDNN:
  Deconvolution Batch deconv_3d - bf16bf16bf16 - CPU
  Deconvolution Batch deconv_3d - f32 - CPU
SVT-VP9
FFTE
SVT-VP9
Darktable

Ubuntu 20.10 20200929

Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: NVIDIA NV132 11GB, Audio: Realtek ALC1220, Monitor: ASUS MG28U, Network: Intel I219-V + Intel I211

OS: Ubuntu 20.10, Kernel: 5.8.0-19-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: nouveau 1.0.16, OpenGL: 4.3 Mesa 20.1.8, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-rn7uax/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-rn7uax/gcc-10-10.2.0/debian/tmp-gcn/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_cpufreq ondemand - CPU Microcode: 0x5002f01
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)
Python Notes: Python 3.8.6
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: Mitigation of TSX disabled

Testing initiated at 29 September 2020 10:52 by user pts.

Fedora Workstation 33 Beta

Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: NVIDIA NV132 11GB, Audio: Realtek ALC1220, Monitor: ASUS MG28U, Network: Intel I219-V + Intel I211

OS: Fedora 33, Kernel: 5.8.12-300.fc33.x86_64 (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server + Wayland, OpenGL: 4.3 Mesa 20.2.0, Compiler: GCC 10.2.1 20200826 + Clang 11.0.0, File-System: btrfs, Screen Resolution: 3840x2160

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-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=i686 --with-gcc-major-version-only --with-isl --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver
Processor Notes: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x5002f01
Java Notes: OpenJDK Runtime Environment 18.9 (build 11.0.9-ea+6)
Python Notes: Python 3.9.0rc2
Security Notes: SELinux + 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: Mitigation of TSX disabled

Testing initiated at 30 September 2020 06:00 by user phoronix.

Clear Linux 33780

Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB + 31GB UDisk, Graphics: NVIDIA NV132 11GB, Audio: Realtek ALC1220, Monitor: ASUS MG28U, Network: Intel I219-V + Intel I211

OS: Clear Linux OS 33780, Kernel: 5.7.13-975.native (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: nouveau 1.0.16, OpenGL: 4.3 Mesa 20.2.0-devel, Compiler: GCC 10.2.1 20200928 releases/gcc-10.2.0-302-ga6c47f4ce2 + Clang 10.0.1 + LLVM 10.0.1, File-System: ext4, Screen Resolution: 3840x2160

Environment Notes: FFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=32 -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -malign-data=abi -fno-semantic-interposition -ftree-vectorize -ftree-loop-vectorize -Wl,--enable-new-dtags -Wa,-mbranches-within-32B-boundaries" CXXFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=32 -Wformat -Wformat-security -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -fno-semantic-interposition -ffat-lto-objects -fno-trapping-math -Wl,-sort-common -Wl,--enable-new-dtags -mtune=skylake -Wa,-mbranches-within-32B-boundaries -fvisibility-inlines-hidden -Wl,--enable-new-dtags" MESA_GLSL_CACHE_DISABLE=0 FCFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=32 -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -malign-data=abi -fno-semantic-interposition -ftree-vectorize -ftree-loop-vectorize -Wl,-sort-common -Wl,--enable-new-dtags" CFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=32 -Wformat -Wformat-security -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -fno-semantic-interposition -ffat-lto-objects -fno-trapping-math -Wl,-sort-common -Wl,--enable-new-dtags -mtune=skylake -Wa,-mbranches-within-32B-boundaries" THEANO_FLAGS="floatX=float32,openmp=true,gcc.cxxflags="-ftree-vectorize -mavx""
Compiler Notes: --build=x86_64-generic-linux --disable-libmpx --disable-libunwind-exceptions --disable-multiarch --disable-vtable-verify --disable-werror --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-clocale=gnu --enable-default-pie --enable-gnu-indirect-function --enable-languages=c,c++,fortran,go --enable-ld=default --enable-libstdcxx-pch --enable-lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --exec-prefix=/usr --includedir=/usr/include --target=x86_64-generic-linux --with-arch=westmere --with-gcc-major-version-only --with-glibc-version=2.19 --with-gnu-ld --with-isl --with-ppl=yes --with-tune=haswell
Processor Notes: Scaling Governor: intel_pstate performance - CPU Microcode: 0x500012c
Java Notes: OpenJDK Runtime Environment (build 1.8.0-u252-ga-b00)
Python Notes: Python 3.8.6
Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled

Testing initiated at 1 October 2020 01:00 by user phoronix.

openSUSE Tumbleweed

Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB + 31GB UDisk, Graphics: NVIDIA NV132 11GB, Audio: Realtek ALC1220, Monitor: ASUS MG28U, Network: Intel I219-V + Intel I211

OS: openSUSE Tumbleweed 20200929, Kernel: 5.8.10-1-default (x86_64), Desktop: KDE Plasma 5.19.5, Display Server: X Server 1.20.9, Display Driver: nouveau 1.0.16, OpenGL: 4.3 Mesa 20.1.8, Compiler: GCC 10.2.1 20200825 [revision c0746a1beb1ba073c7981eb09f55b3d993b32e5c], File-System: btrfs, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-suse-linux --disable-libcc1 --disable-libssp --disable-libstdcxx-pch --disable-libvtv --disable-werror --enable-cet=auto --enable-checking=release --enable-gnu-indirect-function --enable-languages=c,c++,objc,fortran,obj-c++,ada,go,d --enable-libphobos --enable-libstdcxx-allocator=new --enable-link-mutex --enable-linux-futex --enable-multilib --enable-offload-targets=nvptx-none=/usr/nvptx-none,amdgcn-amdhsa=/usr/amdgcn-amdhsa, --enable-plugin --enable-ssp --enable-version-specific-runtime-libs --host=x86_64-suse-linux --mandir=/usr/share/man --with-arch-32=x86-64 --with-build-config=bootstrap-lto-lean --with-gcc-major-version-only --with-slibdir=/lib64 --with-tune=generic --without-cuda-driver --without-system-libunwind
Processor Notes: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x5002f01
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-suse-1.3-x8664)
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: Mitigation of TSX disabled

Testing initiated at 1 October 2020 17:44 by user .