apple-mac

Intel Core i7-6700HQ testing with a Apple Mac-A5C67F76ED83108C (265.0.0.0.0 BIOS) and AMD Radeon RX 460/560D / Pro 450/455/460/555/555X/560/560X 2GB on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2009295-FI-APPLEMAC549
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September 26 2020
  19 Minutes
1a
September 26 2020
  22 Hours, 58 Minutes
1b
September 27 2020
  1 Hour, 43 Minutes
Linux 5.8
September 27 2020
  17 Hours, 58 Minutes
Linux 5.9 Git
September 28 2020
  19 Hours, 58 Minutes
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1

Processor: Intel Core i7-6700HQ @ 3.50GHz (4 Cores / 8 Threads), Motherboard: Apple Mac-A5C67F76ED83108C (265.0.0.0.0 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 16GB, Disk: 251GB APPLE SSD SM0256L, Graphics: AMD Radeon RX 460/560D / Pro 450/455/460/555/555X/560/560X 2GB (800/1270MHz), Audio: Cirrus Logic Generic, Monitor: Color LCD, Network: Broadcom BCM43602 802.11ac LAN SoC

OS: Ubuntu 20.04, Kernel: 5.4.0-33-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 2880x1800

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6
Graphics Notes: GLAMOR
Python Notes: Python 3.8.2
Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

1a

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdc
Python Notes: Python 3.8.2
Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

1b

OS: Ubuntu 20.04, Kernel: 5.4.0-48-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 2880x1800

Linux 5.8

OS: Ubuntu 20.04, Kernel: 5.8.12-050812-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 2880x1800

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdc
Graphics Notes: GLAMOR
Python Notes: Python 3.8.2
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

Linux 5.9 Git

OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc7daily20200928-generic (x86_64) 20200927, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 2880x1800

apple-macProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution11a1bLinux 5.8Linux 5.9 GitIntel Core i7-6700HQ @ 3.50GHz (4 Cores / 8 Threads)Apple Mac-A5C67F76ED83108C (265.0.0.0.0 BIOS)Intel Xeon E3-1200 v5/E3-150016GB251GB APPLE SSD SM0256LAMD Radeon RX 460/560D / Pro 450/455/460/555/555X/560/560X 2GB (800/1270MHz)Cirrus Logic GenericColor LCDBroadcom BCM43602 802.11ac LAN SoCUbuntu 20.045.4.0-33-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8amdgpu 19.1.04.6 Mesa 20.0.4 (LLVM 9.0.1)GCC 9.3.0ext42880x18005.4.0-48-generic (x86_64)5.8.12-050812-generic (x86_64)5.9.0-050900rc7daily20200928-generic (x86_64) 20200927OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- 1: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6- 1a: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdc- 1b: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdc- Linux 5.8: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdc- Linux 5.9 Git: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdcGraphics Details- 1, Linux 5.8, Linux 5.9 Git: GLAMORPython Details- Python 3.8.2Security Details- 1: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable - 1a: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable - 1b: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable - Linux 5.8: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable - Linux 5.9 Git: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

apple-macrealsr-ncnn: 4x - Nowireguard: osbench: Create Filesosbench: Create Threadsosbench: Launch Programsosbench: Create Processesosbench: Memory Allocationslczero: BLASlczero: Eigenlczero: Randrodinia: OpenMP LavaMDrodinia: OpenMP HotSpot3Drodinia: OpenMP Leukocyterodinia: OpenMP CFD Solverrodinia: OpenMP Streamclusternamd: ATPase Simulation - 327,506 Atomsincompact3d: Cylindermafft: Multiple Sequence Alignment - LSU RNAmocassin: Dust 2D tau100.0lammps: Rhodopsin Proteinwebp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressioncompress-zstd: 3compress-zstd: 19libraw: Post-Processing Benchmarkonednn: IP Batch 1D - f32 - CPUonednn: IP Batch All - f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch deconv_1d - f32 - CPUonednn: Deconvolution Batch deconv_3d - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUaom-av1: Speed 0 Two-Passaom-av1: Speed 4 Two-Passaom-av1: Speed 6 Realtimeaom-av1: Speed 6 Two-Passaom-av1: Speed 8 Realtimebuild-apache: Time To Compilebuild-linux-kernel: Time To Compilebuild-llvm: Time To Compileespeak: Text-To-Speech Synthesismontage: Mosaic of M17, K band, 1.5 deg x 1.5 degsystem-decompress-gzip: couchdb: 100 - 1000 - 24gromacs: Water Benchmarktensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2astcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivesqlite-speedtest: Timed Time - Size 1,000gmic: 2D Function Plotting, 1000 Timesgmic: Plotting Isosurface Of A 3D Volume, 1000 Timesgmic: 3D Elevated Function In Rand Colors, 100 Timesinkscape: SVG Files To PNGlibreoffice: 20 Documents To PDFocrmypdf: Processing 60 Page PDF Documentrawtherapee: Total Benchmark Timegpaw: Carbon Nanotubemnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - squeezenetncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinytnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1ai-benchmark: Device Inference Scoreai-benchmark: Device Training Scoreai-benchmark: Device AI Scoregit: Time To Complete Common Git Commandstesseract-ocr: Time To OCR 7 Imageskripke: influxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000influxdb: 1024 - 10000 - 2,5000,1 - 10000dolfyn: Computational Fluid Dynamicsffte: N=256, 3D Complex FFT Routinehmmer: Pfam Database Searchbyte: Dhrystone 2caffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200hint: FLOATmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregression11a1bLinux 5.8Linux 5.9 Git370.674255.14017.64167615.62754370.78329727.939479108.341376572497175293673.863135.154297.24761.60731.8264.72588876.545471203.5193782.3611.9643.07923.4589.21564.8891748.212.824.0010.5189154.57426.735912.397519.8370754.602527.2556.058800.191.5812.222.5028.8240.474259.2492013.16335.247101.6803.757186.0160.410580768837405342695139444940572775764905.2312.9486.06681.1089.013136.07925.03481.93531.2219.40965.588114.937803.18012.26168.0136.5588.99574.80331.8537.9110.048.595.608.4013.472.5029.48115.5328.8830.7358.8850.25416.896389.443539601114065.21931.5632875570788302.8842947.2847324.613.928187.13324.56717099.367156147146.81534175921.579192158667194847390198340385345.0639287.62126.0633.185.78370.380270.43718.15711016.17670171.52080628.413137111.140410553487175841673.641135.294301.97162.19032.2524.57479881.362264202.5963802.3561.9913.10923.5119.24265.6441703.612.324.0011.1785154.58526.416912.960120.1618719.337519.3536.284940.191.5612.132.4828.6640.728263.4162033.74435.410101.6213.809175.4340.406581423837282342735239462640586775766405.2412.9784.98681.4288.194139.68424.97782.32031.2969.56165.469115.459800.74712.40368.9706.5959.10675.72831.7337.9910.018.585.538.4013.562.5129.63118.8129.1931.2459.5650.54419.039392.035536596113265.69531.6926061038780725.5836526.4845755.624.62716367.982463134146.86533676043.379664159335195386390701337798306.4780285.39130.7133.485.85371.213270.58818.62288818.28352674.04963234.709771110.621929553490175650670.612135.603303.07062.24132.2154.81432880.041544219.2963802.3491.9733.07023.6059.17365.5341708.412.223.9810.9184153.05027.543312.983820.1737763.335523.2666.057980.191.5712.222.5028.8340.923264.8432027.38535.113101.0283.771177.4330.406580769837072742682839440040606775734975.2312.9686.10682.1088.405138.35424.40181.79331.4069.50665.365115.344802.27712.29368.8646.6379.05075.48531.7737.8810.008.575.518.3313.532.5129.58118.1729.4231.3259.4450.48417.044387.190535597113265.04531.5287984554778638.6838896.2842927.924.46016469.591709348146.93934221254.679506158593195308391033342293879.0120985.69130.9433.575.88OpenBenchmarking.org

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: No1Linux 5.8Linux 5.9 Git80160240320400SE +/- 0.19, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3370.67370.38371.21
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: No1Linux 5.8Linux 5.9 Git70140210280350Min: 370.37 / Avg: 370.67 / Max: 371.02Min: 370.35 / Avg: 370.38 / Max: 370.42Min: 371.16 / Avg: 371.21 / Max: 371.26

WireGuard + Linux Networking Stack Stress Test

This is a benchmark of the WireGuard secure VPN tunnel and Linux networking stack stress test. The test runs on the local host but does require root permissions to run. The way it works is it creates three namespaces. ns0 has a loopback device. ns1 and ns2 each have wireguard devices. Those two wireguard devices send traffic through the loopback device of ns0. The end result of this is that tests wind up testing encryption and decryption at the same time -- a pretty CPU and scheduler-heavy workflow. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress Test1aLinux 5.8Linux 5.9 Git60120180240300SE +/- 1.17, N = 3SE +/- 1.63, N = 3SE +/- 0.53, N = 3255.14270.44270.59
OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress Test1aLinux 5.8Linux 5.9 Git50100150200250Min: 253.97 / Avg: 255.14 / Max: 257.48Min: 267.25 / Avg: 270.44 / Max: 272.67Min: 269.9 / Avg: 270.59 / Max: 271.63

OSBench

OSBench is a collection of micro-benchmarks for measuring operating system primitives like time to create threads/processes, launching programs, creating files, and memory allocation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Files1aLinux 5.8Linux 5.9 Git510152025SE +/- 0.16, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 317.6418.1618.621. (CC) gcc options: -lm
OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Files1aLinux 5.8Linux 5.9 Git510152025Min: 17.37 / Avg: 17.64 / Max: 17.92Min: 18.11 / Avg: 18.16 / Max: 18.23Min: 18.58 / Avg: 18.62 / Max: 18.651. (CC) gcc options: -lm

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Threads1aLinux 5.8Linux 5.9 Git48121620SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.22, N = 615.6316.1818.281. (CC) gcc options: -lm
OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Threads1aLinux 5.8Linux 5.9 Git510152025Min: 15.51 / Avg: 15.63 / Max: 15.74Min: 16.11 / Avg: 16.18 / Max: 16.23Min: 17.44 / Avg: 18.28 / Max: 18.71. (CC) gcc options: -lm

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Launch Programs1aLinux 5.8Linux 5.9 Git1632486480SE +/- 0.21, N = 3SE +/- 0.11, N = 3SE +/- 0.26, N = 370.7871.5274.051. (CC) gcc options: -lm
OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Launch Programs1aLinux 5.8Linux 5.9 Git1428425670Min: 70.41 / Avg: 70.78 / Max: 71.15Min: 71.37 / Avg: 71.52 / Max: 71.73Min: 73.68 / Avg: 74.05 / Max: 74.561. (CC) gcc options: -lm

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Processes1aLinux 5.8Linux 5.9 Git816243240SE +/- 0.20, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 327.9428.4134.711. (CC) gcc options: -lm
OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Processes1aLinux 5.8Linux 5.9 Git714212835Min: 27.63 / Avg: 27.94 / Max: 28.32Min: 28.29 / Avg: 28.41 / Max: 28.55Min: 34.64 / Avg: 34.71 / Max: 34.851. (CC) gcc options: -lm

OpenBenchmarking.orgNs Per Event, Fewer Is BetterOSBenchTest: Memory Allocations1aLinux 5.8Linux 5.9 Git20406080100SE +/- 0.41, N = 3SE +/- 0.26, N = 3SE +/- 0.20, N = 3108.34111.14110.621. (CC) gcc options: -lm
OpenBenchmarking.orgNs Per Event, Fewer Is BetterOSBenchTest: Memory Allocations1aLinux 5.8Linux 5.9 Git20406080100Min: 107.77 / Avg: 108.34 / Max: 109.15Min: 110.78 / Avg: 111.14 / Max: 111.65Min: 110.33 / Avg: 110.62 / Max: 110.991. (CC) gcc options: -lm

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLAS1aLinux 5.8Linux 5.9 Git120240360480600SE +/- 5.78, N = 3SE +/- 2.00, N = 3SE +/- 3.79, N = 35725535531. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLAS1aLinux 5.8Linux 5.9 Git100200300400500Min: 562 / Avg: 571.67 / Max: 582Min: 551 / Avg: 553 / Max: 557Min: 547 / Avg: 553 / Max: 5601. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen1aLinux 5.8Linux 5.9 Git110220330440550SE +/- 5.17, N = 3SE +/- 5.77, N = 3SE +/- 5.04, N = 34974874901. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen1aLinux 5.8Linux 5.9 Git90180270360450Min: 487 / Avg: 497.33 / Max: 503Min: 477 / Avg: 487 / Max: 497Min: 483 / Avg: 490.33 / Max: 5001. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Random1aLinux 5.8Linux 5.9 Git40K80K120K160K200KSE +/- 260.75, N = 3SE +/- 165.90, N = 3SE +/- 110.97, N = 31752931758411756501. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Random1aLinux 5.8Linux 5.9 Git30K60K90K120K150KMin: 174798 / Avg: 175292.67 / Max: 175683Min: 175644 / Avg: 175841.33 / Max: 176171Min: 175433 / Avg: 175650.33 / Max: 1757981. (CXX) g++ options: -flto -pthread

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMD1aLinux 5.8Linux 5.9 Git150300450600750SE +/- 6.82, N = 9SE +/- 7.51, N = 9SE +/- 6.79, N = 9673.86673.64670.611. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMD1aLinux 5.8Linux 5.9 Git120240360480600Min: 662.66 / Avg: 673.86 / Max: 727.7Min: 663.45 / Avg: 673.64 / Max: 733.4Min: 663 / Avg: 670.61 / Max: 724.881. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3D1aLinux 5.8Linux 5.9 Git306090120150SE +/- 0.68, N = 3SE +/- 0.45, N = 3SE +/- 0.31, N = 3135.15135.29135.601. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3D1aLinux 5.8Linux 5.9 Git306090120150Min: 134.45 / Avg: 135.15 / Max: 136.51Min: 134.78 / Avg: 135.29 / Max: 136.19Min: 135.08 / Avg: 135.6 / Max: 136.161. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Leukocyte1aLinux 5.8Linux 5.9 Git70140210280350SE +/- 1.30, N = 3SE +/- 1.37, N = 3SE +/- 0.25, N = 3297.25301.97303.071. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Leukocyte1aLinux 5.8Linux 5.9 Git50100150200250Min: 295.86 / Avg: 297.25 / Max: 299.85Min: 300.39 / Avg: 301.97 / Max: 304.7Min: 302.75 / Avg: 303.07 / Max: 303.561. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD Solver1aLinux 5.8Linux 5.9 Git1428425670SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 361.6162.1962.241. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD Solver1aLinux 5.8Linux 5.9 Git1224364860Min: 61.36 / Avg: 61.61 / Max: 61.73Min: 62.08 / Avg: 62.19 / Max: 62.34Min: 62.13 / Avg: 62.24 / Max: 62.371. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Streamcluster1aLinux 5.8Linux 5.9 Git714212835SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 331.8332.2532.221. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Streamcluster1aLinux 5.8Linux 5.9 Git714212835Min: 31.8 / Avg: 31.83 / Max: 31.84Min: 32.24 / Avg: 32.25 / Max: 32.26Min: 32.19 / Avg: 32.21 / Max: 32.241. (CXX) g++ options: -O2 -lOpenCL

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 Atoms1aLinux 5.8Linux 5.9 Git1.08322.16643.24964.33285.416SE +/- 0.04273, N = 11SE +/- 0.02021, N = 3SE +/- 0.08324, N = 34.725884.574794.81432
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atoms1aLinux 5.8Linux 5.9 Git246810Min: 4.57 / Avg: 4.73 / Max: 5.01Min: 4.55 / Avg: 4.57 / Max: 4.61Min: 4.65 / Avg: 4.81 / Max: 4.91

Incompact3D

Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: Cylinder1aLinux 5.8Linux 5.9 Git2004006008001000SE +/- 0.40, N = 3SE +/- 0.94, N = 3SE +/- 0.81, N = 3876.55881.36880.041. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: Cylinder1aLinux 5.8Linux 5.9 Git150300450600750Min: 875.75 / Avg: 876.55 / Max: 876.95Min: 879.82 / Avg: 881.36 / Max: 883.08Min: 878.87 / Avg: 880.04 / Max: 881.591. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

Timed MAFFT Alignment

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA1a1bLinux 5.8Linux 5.9 Git50100150200250SE +/- 12.37, N = 9SE +/- 0.05, N = 3SE +/- 12.70, N = 12SE +/- 9.33, N = 12203.5213.93202.60219.301. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA1a1bLinux 5.8Linux 5.9 Git4080120160200Min: 138.73 / Avg: 203.52 / Max: 246.91Min: 13.85 / Avg: 13.93 / Max: 14.02Min: 138.79 / Avg: 202.6 / Max: 274.09Min: 149.61 / Avg: 219.3 / Max: 265.541. (CC) gcc options: -std=c99 -O3 -lm -lpthread

Monte Carlo Simulations of Ionised Nebulae

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.01aLinux 5.8Linux 5.9 Git80160240320400SE +/- 0.58, N = 33783803801. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.01aLinux 5.8Linux 5.9 Git70140210280350Min: 379 / Avg: 380 / Max: 3811. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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 Protein1aLinux 5.8Linux 5.9 Git0.53121.06241.59362.12482.656SE +/- 0.008, N = 3SE +/- 0.015, N = 3SE +/- 0.006, N = 32.3612.3562.3491. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin Protein1aLinux 5.8Linux 5.9 Git246810Min: 2.35 / Avg: 2.36 / Max: 2.37Min: 2.33 / Avg: 2.36 / Max: 2.38Min: 2.34 / Avg: 2.35 / Max: 2.361. (CXX) g++ options: -O3 -pthread -lm

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: Default1aLinux 5.8Linux 5.9 Git0.4480.8961.3441.7922.24SE +/- 0.003, N = 3SE +/- 0.009, N = 3SE +/- 0.013, N = 31.9641.9911.9731. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default1aLinux 5.8Linux 5.9 Git246810Min: 1.96 / Avg: 1.96 / Max: 1.97Min: 1.98 / Avg: 1.99 / Max: 2.01Min: 1.96 / Avg: 1.97 / Max: 21. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 1001aLinux 5.8Linux 5.9 Git0.69951.3992.09852.7983.4975SE +/- 0.008, N = 3SE +/- 0.006, N = 3SE +/- 0.002, N = 33.0793.1093.0701. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 1001aLinux 5.8Linux 5.9 Git246810Min: 3.07 / Avg: 3.08 / Max: 3.09Min: 3.1 / Avg: 3.11 / Max: 3.12Min: 3.07 / Avg: 3.07 / Max: 3.071. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless1aLinux 5.8Linux 5.9 Git612182430SE +/- 0.10, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 323.4623.5123.611. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless1aLinux 5.8Linux 5.9 Git612182430Min: 23.29 / Avg: 23.46 / Max: 23.64Min: 23.4 / Avg: 23.51 / Max: 23.7Min: 23.58 / Avg: 23.61 / Max: 23.651. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression1aLinux 5.8Linux 5.9 Git3691215SE +/- 0.011, N = 3SE +/- 0.013, N = 3SE +/- 0.016, N = 39.2159.2429.1731. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression1aLinux 5.8Linux 5.9 Git3691215Min: 9.2 / Avg: 9.21 / Max: 9.24Min: 9.22 / Avg: 9.24 / Max: 9.26Min: 9.14 / Avg: 9.17 / Max: 9.21. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression1aLinux 5.8Linux 5.9 Git1530456075SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 364.8965.6465.531. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression1aLinux 5.8Linux 5.9 Git1326395265Min: 64.62 / Avg: 64.89 / Max: 65.07Min: 65.53 / Avg: 65.64 / Max: 65.71Min: 65.39 / Avg: 65.53 / Max: 65.731. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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: 31aLinux 5.8Linux 5.9 Git400800120016002000SE +/- 4.11, N = 3SE +/- 1.23, N = 3SE +/- 4.54, N = 31748.21703.61708.41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 31aLinux 5.8Linux 5.9 Git30060090012001500Min: 1742.5 / Avg: 1748.23 / Max: 1756.2Min: 1701.2 / Avg: 1703.63 / Max: 1705.1Min: 1700.4 / Avg: 1708.43 / Max: 1716.11. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 191aLinux 5.8Linux 5.9 Git3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.09, N = 312.812.312.21. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 191aLinux 5.8Linux 5.9 Git48121620Min: 12.8 / Avg: 12.8 / Max: 12.8Min: 12.3 / Avg: 12.3 / Max: 12.3Min: 12.1 / Avg: 12.23 / Max: 12.41. (CC) gcc options: -O3 -pthread -lz -llzma

LibRaw

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

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark1aLinux 5.8Linux 5.9 Git612182430SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 324.0024.0023.981. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark1aLinux 5.8Linux 5.9 Git612182430Min: 23.98 / Avg: 24 / Max: 24.01Min: 23.91 / Avg: 24 / Max: 24.06Min: 23.82 / Avg: 23.98 / Max: 24.11. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -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: IP Batch 1D - Data Type: f32 - Engine: CPU1aLinux 5.8Linux 5.9 Git3691215SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 310.5211.1810.92MIN: 10.18MIN: 10.46MIN: 10.391. (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: CPU1aLinux 5.8Linux 5.9 Git3691215Min: 10.45 / Avg: 10.52 / Max: 10.58Min: 11.02 / Avg: 11.18 / Max: 11.37Min: 10.73 / Avg: 10.92 / Max: 11.171. (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: CPU1aLinux 5.8Linux 5.9 Git306090120150SE +/- 2.45, N = 3SE +/- 0.30, N = 3SE +/- 0.72, N = 3154.57154.59153.05MIN: 146.76MIN: 148.69MIN: 147.851. (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: CPU1aLinux 5.8Linux 5.9 Git306090120150Min: 151.34 / Avg: 154.57 / Max: 159.39Min: 154.05 / Avg: 154.59 / Max: 155.09Min: 151.89 / Avg: 153.05 / Max: 154.381. (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: CPU1aLinux 5.8Linux 5.9 Git612182430SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 326.7426.4227.54MIN: 26.3MIN: 26.11MIN: 27.141. (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: CPU1aLinux 5.8Linux 5.9 Git612182430Min: 26.6 / Avg: 26.74 / Max: 26.82Min: 26.34 / Avg: 26.42 / Max: 26.48Min: 27.44 / Avg: 27.54 / Max: 27.611. (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: CPU1aLinux 5.8Linux 5.9 Git3691215SE +/- 0.14, N = 15SE +/- 0.26, N = 15SE +/- 0.11, N = 1512.4012.9612.98MIN: 11.76MIN: 11.6MIN: 12.011. (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: CPU1aLinux 5.8Linux 5.9 Git48121620Min: 11.99 / Avg: 12.4 / Max: 14.08Min: 11.86 / Avg: 12.96 / Max: 15.35Min: 12.21 / Avg: 12.98 / Max: 13.971. (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: CPU1aLinux 5.8Linux 5.9 Git510152025SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.28, N = 319.8420.1620.17MIN: 19.39MIN: 19.71MIN: 19.131. (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: CPU1aLinux 5.8Linux 5.9 Git510152025Min: 19.8 / Avg: 19.84 / Max: 19.9Min: 19.89 / Avg: 20.16 / Max: 20.3Min: 19.61 / Avg: 20.17 / Max: 20.481. (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: CPU1aLinux 5.8Linux 5.9 Git160320480640800SE +/- 9.87, N = 5SE +/- 3.00, N = 3SE +/- 6.51, N = 3754.60719.34763.34MIN: 726.57MIN: 706.58MIN: 748.451. (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: CPU1aLinux 5.8Linux 5.9 Git130260390520650Min: 728.65 / Avg: 754.6 / Max: 787.2Min: 713.68 / Avg: 719.34 / Max: 723.9Min: 750.54 / Avg: 763.34 / Max: 771.761. (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: CPU1aLinux 5.8Linux 5.9 Git110220330440550SE +/- 6.88, N = 5SE +/- 8.35, N = 3SE +/- 6.05, N = 3527.26519.35523.27MIN: 500.69MIN: 498.78MIN: 510.481. (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: CPU1aLinux 5.8Linux 5.9 Git90180270360450Min: 503.06 / Avg: 527.25 / Max: 540.9Min: 503.01 / Avg: 519.35 / Max: 530.46Min: 512.44 / Avg: 523.27 / Max: 533.361. (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: CPU1aLinux 5.8Linux 5.9 Git246810SE +/- 0.01458, N = 3SE +/- 0.02981, N = 3SE +/- 0.01040, N = 36.058806.284946.05798MIN: 5.96MIN: 6.13MIN: 5.951. (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: CPU1aLinux 5.8Linux 5.9 Git3691215Min: 6.03 / Avg: 6.06 / Max: 6.08Min: 6.25 / Avg: 6.28 / Max: 6.34Min: 6.04 / Avg: 6.06 / Max: 6.071. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-Pass1aLinux 5.8Linux 5.9 Git0.04280.08560.12840.17120.214SE +/- 0.00, N = 3SE +/- 0.00, N = 4SE +/- 0.00, N = 30.190.190.191. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-Pass1aLinux 5.8Linux 5.9 Git12345Min: 0.19 / Avg: 0.19 / Max: 0.19Min: 0.18 / Avg: 0.19 / Max: 0.19Min: 0.19 / Avg: 0.19 / Max: 0.191. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-Pass1aLinux 5.8Linux 5.9 Git0.35550.7111.06651.4221.7775SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.581.561.571. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-Pass1aLinux 5.8Linux 5.9 Git246810Min: 1.58 / Avg: 1.58 / Max: 1.58Min: 1.55 / Avg: 1.56 / Max: 1.57Min: 1.57 / Avg: 1.57 / Max: 1.581. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Realtime1aLinux 5.8Linux 5.9 Git3691215SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 312.2212.1312.221. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Realtime1aLinux 5.8Linux 5.9 Git48121620Min: 12.13 / Avg: 12.22 / Max: 12.27Min: 12.07 / Avg: 12.13 / Max: 12.2Min: 12.13 / Avg: 12.22 / Max: 12.281. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-Pass1aLinux 5.8Linux 5.9 Git0.56251.1251.68752.252.8125SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.502.482.501. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-Pass1aLinux 5.8Linux 5.9 Git246810Min: 2.49 / Avg: 2.5 / Max: 2.52Min: 2.47 / Avg: 2.48 / Max: 2.49Min: 2.49 / Avg: 2.5 / Max: 2.521. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 Realtime1aLinux 5.8Linux 5.9 Git714212835SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 328.8228.6628.831. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 Realtime1aLinux 5.8Linux 5.9 Git612182430Min: 28.67 / Avg: 28.82 / Max: 28.91Min: 28.6 / Avg: 28.66 / Max: 28.75Min: 28.79 / Avg: 28.83 / Max: 28.891. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Timed Apache Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To Compile1aLinux 5.8Linux 5.9 Git918273645SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 340.4740.7340.92
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To Compile1aLinux 5.8Linux 5.9 Git918273645Min: 40.42 / Avg: 40.47 / Max: 40.56Min: 40.57 / Avg: 40.73 / Max: 40.9Min: 40.85 / Avg: 40.92 / Max: 40.97

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 Compile1aLinux 5.8Linux 5.9 Git60120180240300SE +/- 0.88, N = 3SE +/- 0.56, N = 3SE +/- 0.98, N = 3259.25263.42264.84
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To Compile1aLinux 5.8Linux 5.9 Git50100150200250Min: 258.17 / Avg: 259.25 / Max: 260.98Min: 262.35 / Avg: 263.42 / Max: 264.28Min: 263.65 / Avg: 264.84 / Max: 266.79

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To Compile1aLinux 5.8Linux 5.9 Git400800120016002000SE +/- 1.04, N = 3SE +/- 1.41, N = 3SE +/- 0.34, N = 32013.162033.742027.39
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To Compile1aLinux 5.8Linux 5.9 Git400800120016002000Min: 2011.15 / Avg: 2013.16 / Max: 2014.66Min: 2030.97 / Avg: 2033.74 / Max: 2035.59Min: 2026.95 / Avg: 2027.39 / Max: 2028.07

eSpeak-NG Speech Engine

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

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis1aLinux 5.8Linux 5.9 Git816243240SE +/- 0.15, N = 4SE +/- 0.19, N = 4SE +/- 0.17, N = 435.2535.4135.111. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis1aLinux 5.8Linux 5.9 Git816243240Min: 34.87 / Avg: 35.25 / Max: 35.56Min: 34.95 / Avg: 35.41 / Max: 35.85Min: 34.88 / Avg: 35.11 / Max: 35.611. (CC) gcc options: -O2 -std=c99

Montage Astronomical Image Mosaic Engine

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMontage Astronomical Image Mosaic Engine 6.0Mosaic of M17, K band, 1.5 deg x 1.5 deg1aLinux 5.8Linux 5.9 Git20406080100SE +/- 0.36, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3101.68101.62101.031. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2
OpenBenchmarking.orgSeconds, Fewer Is BetterMontage Astronomical Image Mosaic Engine 6.0Mosaic of M17, K band, 1.5 deg x 1.5 deg1aLinux 5.8Linux 5.9 Git20406080100Min: 101.3 / Avg: 101.68 / Max: 102.41Min: 101.51 / Avg: 101.62 / Max: 101.74Min: 100.88 / Avg: 101.03 / Max: 101.311. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2

System GZIP Decompression

This simple test measures the time to decompress a gzipped tarball (the Qt5 toolkit source package). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP Decompression1aLinux 5.8Linux 5.9 Git0.8571.7142.5713.4284.285SE +/- 0.031, N = 13SE +/- 0.064, N = 3SE +/- 0.062, N = 33.7573.8093.771
OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP Decompression1aLinux 5.8Linux 5.9 Git246810Min: 3.7 / Avg: 3.76 / Max: 4.13Min: 3.73 / Avg: 3.81 / Max: 3.94Min: 3.7 / Avg: 3.77 / Max: 3.9

Apache CouchDB

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 241a1bLinux 5.8Linux 5.9 Git4080120160200SE +/- 1.76, N = 3SE +/- 0.55, N = 3SE +/- 0.36, N = 3SE +/- 0.36, N = 3186.02187.13175.43177.431. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 241a1bLinux 5.8Linux 5.9 Git306090120150Min: 183.39 / Avg: 186.02 / Max: 189.37Min: 186.04 / Avg: 187.13 / Max: 187.75Min: 174.78 / Avg: 175.43 / Max: 176.04Min: 176.85 / Avg: 177.43 / Max: 178.081. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

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 Benchmark1aLinux 5.8Linux 5.9 Git0.09230.18460.27690.36920.4615SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.4100.4060.4061. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark1aLinux 5.8Linux 5.9 Git12345Min: 0.41 / Avg: 0.41 / Max: 0.41Min: 0.41 / Avg: 0.41 / Max: 0.41Min: 0.41 / Avg: 0.41 / Max: 0.411. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

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: SqueezeNet1aLinux 5.8Linux 5.9 Git120K240K360K480K600KSE +/- 100.38, N = 3SE +/- 288.45, N = 3SE +/- 124.86, N = 3580768581423580769
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNet1aLinux 5.8Linux 5.9 Git100K200K300K400K500KMin: 580637 / Avg: 580767.67 / Max: 580965Min: 580910 / Avg: 581423.33 / Max: 581908Min: 580582 / Avg: 580769.33 / Max: 581006

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V41aLinux 5.8Linux 5.9 Git2M4M6M8M10MSE +/- 2949.69, N = 3SE +/- 2566.98, N = 3SE +/- 859.08, N = 3837405383728238370727
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V41aLinux 5.8Linux 5.9 Git1.5M3M4.5M6M7.5MMin: 8370950 / Avg: 8374053.33 / Max: 8379950Min: 8369160 / Avg: 8372823.33 / Max: 8377770Min: 8369680 / Avg: 8370726.67 / Max: 8372430

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet Mobile1aLinux 5.8Linux 5.9 Git90K180K270K360K450KSE +/- 172.19, N = 3SE +/- 318.88, N = 3SE +/- 106.30, N = 3426951427352426828
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet Mobile1aLinux 5.8Linux 5.9 Git70K140K210K280K350KMin: 426607 / Avg: 426951.33 / Max: 427128Min: 426852 / Avg: 427352.33 / Max: 427945Min: 426648 / Avg: 426828.33 / Max: 427016

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Float1aLinux 5.8Linux 5.9 Git80K160K240K320K400KSE +/- 56.10, N = 3SE +/- 122.77, N = 3SE +/- 132.01, N = 3394449394626394400
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Float1aLinux 5.8Linux 5.9 Git70K140K210K280K350KMin: 394355 / Avg: 394448.67 / Max: 394549Min: 394486 / Avg: 394626.33 / Max: 394871Min: 394265 / Avg: 394400 / Max: 394664

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Quant1aLinux 5.8Linux 5.9 Git90K180K270K360K450KSE +/- 80.23, N = 3SE +/- 269.94, N = 3SE +/- 186.36, N = 3405727405867406067
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Quant1aLinux 5.8Linux 5.9 Git70K140K210K280K350KMin: 405582 / Avg: 405727 / Max: 405859Min: 405513 / Avg: 405867 / Max: 406397Min: 405732 / Avg: 406067 / Max: 406376

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V21aLinux 5.8Linux 5.9 Git1.6M3.2M4.8M6.4M8MSE +/- 1057.88, N = 3SE +/- 225.46, N = 3SE +/- 259.89, N = 3757649075766407573497
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V21aLinux 5.8Linux 5.9 Git1.3M2.6M3.9M5.2M6.5MMin: 7574400 / Avg: 7576490 / Max: 7577820Min: 7576390 / Avg: 7576640 / Max: 7577090Min: 7573040 / Avg: 7573496.67 / Max: 7573940

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: Fast1aLinux 5.8Linux 5.9 Git1.1792.3583.5374.7165.895SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 35.235.245.231. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Fast1aLinux 5.8Linux 5.9 Git246810Min: 5.23 / Avg: 5.23 / Max: 5.24Min: 5.23 / Avg: 5.24 / Max: 5.24Min: 5.22 / Avg: 5.23 / Max: 5.241. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium1aLinux 5.8Linux 5.9 Git3691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 312.9412.9712.961. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium1aLinux 5.8Linux 5.9 Git48121620Min: 12.93 / Avg: 12.94 / Max: 12.95Min: 12.93 / Avg: 12.97 / Max: 13Min: 12.95 / Avg: 12.96 / Max: 12.971. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough1aLinux 5.8Linux 5.9 Git20406080100SE +/- 1.15, N = 3SE +/- 0.04, N = 3SE +/- 1.12, N = 386.0684.9886.101. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough1aLinux 5.8Linux 5.9 Git1632486480Min: 84.89 / Avg: 86.06 / Max: 88.37Min: 84.9 / Avg: 84.98 / Max: 85.04Min: 84.97 / Avg: 86.1 / Max: 88.331. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive1aLinux 5.8Linux 5.9 Git150300450600750SE +/- 0.17, N = 3SE +/- 0.19, N = 3SE +/- 1.01, N = 3681.10681.42682.101. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive1aLinux 5.8Linux 5.9 Git120240360480600Min: 680.91 / Avg: 681.1 / Max: 681.44Min: 681.18 / Avg: 681.42 / Max: 681.79Min: 680.92 / Avg: 682.1 / Max: 684.11. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

SQLite Speedtest

This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,0001aLinux 5.8Linux 5.9 Git20406080100SE +/- 0.25, N = 3SE +/- 0.28, N = 3SE +/- 0.10, N = 389.0188.1988.411. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,0001aLinux 5.8Linux 5.9 Git20406080100Min: 88.67 / Avg: 89.01 / Max: 89.49Min: 87.77 / Avg: 88.19 / Max: 88.73Min: 88.27 / Avg: 88.41 / Max: 88.61. (CC) gcc options: -O2 -ldl -lz -lpthread

G'MIC

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

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 2D Function Plotting, 1000 Times1aLinux 5.8Linux 5.9 Git306090120150SE +/- 1.19, N = 11SE +/- 2.30, N = 3SE +/- 2.01, N = 4136.08139.68138.351. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 2D Function Plotting, 1000 Times1aLinux 5.8Linux 5.9 Git306090120150Min: 128.78 / Avg: 136.08 / Max: 139.73Min: 135.09 / Avg: 139.68 / Max: 142.22Min: 134.67 / Avg: 138.35 / Max: 142.151. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: Plotting Isosurface Of A 3D Volume, 1000 Times1aLinux 5.8Linux 5.9 Git612182430SE +/- 0.25, N = 8SE +/- 0.23, N = 3SE +/- 0.01, N = 325.0324.9824.401. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: Plotting Isosurface Of A 3D Volume, 1000 Times1aLinux 5.8Linux 5.9 Git612182430Min: 24.57 / Avg: 25.03 / Max: 26.6Min: 24.63 / Avg: 24.98 / Max: 25.42Min: 24.39 / Avg: 24.4 / Max: 24.411. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 3D Elevated Function In Random Colors, 100 Times1aLinux 5.8Linux 5.9 Git20406080100SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 381.9482.3281.791. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 3D Elevated Function In Random Colors, 100 Times1aLinux 5.8Linux 5.9 Git1632486480Min: 81.85 / Avg: 81.94 / Max: 82.01Min: 82.15 / Avg: 82.32 / Max: 82.52Min: 81.67 / Avg: 81.79 / Max: 81.91. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

Inkscape

Inkscape is an open-source vector graphics editor. This test profile times how long it takes to complete various operations by Inkscape. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNG1aLinux 5.8Linux 5.9 Git714212835SE +/- 0.14, N = 3SE +/- 0.14, N = 3SE +/- 0.13, N = 331.2231.3031.411. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)
OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNG1aLinux 5.8Linux 5.9 Git714212835Min: 31.06 / Avg: 31.22 / Max: 31.5Min: 31.15 / Avg: 31.3 / Max: 31.57Min: 31.26 / Avg: 31.41 / Max: 31.671. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)

LibreOffice

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

OpenBenchmarking.orgSeconds, Fewer Is BetterLibreOfficeTest: 20 Documents To PDF1aLinux 5.8Linux 5.9 Git3691215SE +/- 0.088, N = 10SE +/- 0.106, N = 6SE +/- 0.110, N = 69.4099.5619.5061. LibreOffice 6.4.3.2 40(Build:2)
OpenBenchmarking.orgSeconds, Fewer Is BetterLibreOfficeTest: 20 Documents To PDF1aLinux 5.8Linux 5.9 Git3691215Min: 9.26 / Avg: 9.41 / Max: 10.19Min: 9.39 / Avg: 9.56 / Max: 10.08Min: 9.35 / Avg: 9.51 / Max: 10.051. LibreOffice 6.4.3.2 40(Build:2)

OCRMyPDF

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF Document1aLinux 5.8Linux 5.9 Git1530456075SE +/- 0.95, N = 3SE +/- 0.99, N = 3SE +/- 0.88, N = 365.5965.4765.37
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF Document1aLinux 5.8Linux 5.9 Git1326395265Min: 64.64 / Avg: 65.59 / Max: 67.49Min: 64.4 / Avg: 65.47 / Max: 67.45Min: 64.39 / Avg: 65.36 / Max: 67.12

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 Time1aLinux 5.8Linux 5.9 Git306090120150SE +/- 0.19, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3114.94115.46115.341. RawTherapee, version 5.8, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark Time1aLinux 5.8Linux 5.9 Git20406080100Min: 114.66 / Avg: 114.94 / Max: 115.31Min: 115.35 / Avg: 115.46 / Max: 115.55Min: 115.32 / Avg: 115.34 / Max: 115.391. RawTherapee, version 5.8, command line.

GPAW

GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon Nanotube1aLinux 5.8Linux 5.9 Git2004006008001000SE +/- 9.84, N = 5SE +/- 1.51, N = 3SE +/- 0.61, N = 3803.18800.75802.281. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon Nanotube1aLinux 5.8Linux 5.9 Git140280420560700Min: 792.06 / Avg: 803.18 / Max: 842.48Min: 798.75 / Avg: 800.75 / Max: 803.71Min: 801.51 / Avg: 802.28 / Max: 803.491. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

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: SqueezeNetV1.01aLinux 5.8Linux 5.9 Git3691215SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 312.2612.4012.29MIN: 12.06 / MAX: 38.67MIN: 12.27 / MAX: 24.67MIN: 12.17 / MAX: 29.811. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.01aLinux 5.8Linux 5.9 Git48121620Min: 12.17 / Avg: 12.26 / Max: 12.33Min: 12.39 / Avg: 12.4 / Max: 12.44Min: 12.25 / Avg: 12.29 / Max: 12.321. (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-v2-501aLinux 5.8Linux 5.9 Git1530456075SE +/- 0.07, N = 3SE +/- 0.20, N = 3SE +/- 0.15, N = 368.0168.9768.86MIN: 66.43 / MAX: 94.47MIN: 67.37 / MAX: 94.79MIN: 67.93 / MAX: 97.11. (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-v2-501aLinux 5.8Linux 5.9 Git1326395265Min: 67.89 / Avg: 68.01 / Max: 68.14Min: 68.64 / Avg: 68.97 / Max: 69.34Min: 68.71 / Avg: 68.86 / Max: 69.161. (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_2241aLinux 5.8Linux 5.9 Git246810SE +/- 0.034, N = 3SE +/- 0.019, N = 3SE +/- 0.004, N = 36.5586.5956.637MIN: 6.42 / MAX: 32.36MIN: 6.49 / MAX: 33.55MIN: 6.43 / MAX: 32.831. (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_2241aLinux 5.8Linux 5.9 Git3691215Min: 6.51 / Avg: 6.56 / Max: 6.62Min: 6.57 / Avg: 6.59 / Max: 6.63Min: 6.63 / Avg: 6.64 / Max: 6.651. (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: mobilenet-v1-1.01aLinux 5.8Linux 5.9 Git3691215SE +/- 0.028, N = 3SE +/- 0.030, N = 3SE +/- 0.023, N = 38.9959.1069.050MIN: 8.75 / MAX: 14.56MIN: 8.99 / MAX: 18.25MIN: 8.74 / MAX: 34.391. (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: mobilenet-v1-1.01aLinux 5.8Linux 5.9 Git3691215Min: 8.96 / Avg: 9 / Max: 9.05Min: 9.07 / Avg: 9.11 / Max: 9.17Min: 9.02 / Avg: 9.05 / Max: 9.11. (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-v31aLinux 5.8Linux 5.9 Git20406080100SE +/- 0.23, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 374.8075.7375.49MIN: 73.75 / MAX: 102.38MIN: 74.6 / MAX: 103.84MIN: 73.77 / MAX: 104.071. (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-v31aLinux 5.8Linux 5.9 Git1530456075Min: 74.53 / Avg: 74.8 / Max: 75.25Min: 75.68 / Avg: 75.73 / Max: 75.79Min: 75.36 / Avg: 75.49 / Max: 75.661. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet1aLinux 5.8Linux 5.9 Git714212835SE +/- 0.22, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 331.8531.7331.77MIN: 31.4 / MAX: 46.79MIN: 31.58 / MAX: 33.86MIN: 31.59 / MAX: 40.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet1aLinux 5.8Linux 5.9 Git714212835Min: 31.5 / Avg: 31.85 / Max: 32.26Min: 31.72 / Avg: 31.73 / Max: 31.74Min: 31.75 / Avg: 31.77 / Max: 31.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet1aLinux 5.8Linux 5.9 Git918273645SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 337.9137.9937.88MIN: 37.53 / MAX: 50.41MIN: 37.51 / MAX: 82.72MIN: 37.66 / MAX: 541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet1aLinux 5.8Linux 5.9 Git816243240Min: 37.73 / Avg: 37.91 / Max: 38.23Min: 37.88 / Avg: 37.99 / Max: 38.14Min: 37.81 / Avg: 37.88 / Max: 37.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v21aLinux 5.8Linux 5.9 Git3691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 310.0410.0110.00MIN: 9.8 / MAX: 17.01MIN: 9.87 / MAX: 22.51MIN: 9.87 / MAX: 25.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v21aLinux 5.8Linux 5.9 Git3691215Min: 10 / Avg: 10.04 / Max: 10.06Min: 9.99 / Avg: 10.01 / Max: 10.05Min: 9.97 / Avg: 10 / Max: 10.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v31aLinux 5.8Linux 5.9 Git246810SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 38.598.588.57MIN: 8.4 / MAX: 13.74MIN: 8.47 / MAX: 10.65MIN: 8.46 / MAX: 10.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v31aLinux 5.8Linux 5.9 Git3691215Min: 8.48 / Avg: 8.59 / Max: 8.67Min: 8.56 / Avg: 8.58 / Max: 8.61Min: 8.54 / Avg: 8.57 / Max: 8.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v21aLinux 5.8Linux 5.9 Git1.262.523.785.046.3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 35.605.535.51MIN: 5.45 / MAX: 9.2MIN: 5.44 / MAX: 6.39MIN: 5.44 / MAX: 6.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v21aLinux 5.8Linux 5.9 Git246810Min: 5.53 / Avg: 5.6 / Max: 5.65Min: 5.51 / Avg: 5.53 / Max: 5.57Min: 5.5 / Avg: 5.51 / Max: 5.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet1aLinux 5.8Linux 5.9 Git246810SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 38.408.408.33MIN: 8.29 / MAX: 10.01MIN: 8.19 / MAX: 8.96MIN: 8.18 / MAX: 11.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet1aLinux 5.8Linux 5.9 Git3691215Min: 8.38 / Avg: 8.4 / Max: 8.41Min: 8.29 / Avg: 8.4 / Max: 8.52Min: 8.29 / Avg: 8.33 / Max: 8.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b01aLinux 5.8Linux 5.9 Git3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 313.4713.5613.53MIN: 13.4 / MAX: 14.46MIN: 13.49 / MAX: 15.72MIN: 13.48 / MAX: 14.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b01aLinux 5.8Linux 5.9 Git48121620Min: 13.46 / Avg: 13.47 / Max: 13.48Min: 13.54 / Avg: 13.56 / Max: 13.57Min: 13.51 / Avg: 13.53 / Max: 13.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface1aLinux 5.8Linux 5.9 Git0.56481.12961.69442.25922.824SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.502.512.51MIN: 2.48 / MAX: 3.39MIN: 2.48 / MAX: 3.39MIN: 2.48 / MAX: 6.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface1aLinux 5.8Linux 5.9 Git246810Min: 2.5 / Avg: 2.5 / Max: 2.51Min: 2.5 / Avg: 2.51 / Max: 2.52Min: 2.5 / Avg: 2.51 / Max: 2.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet1aLinux 5.8Linux 5.9 Git714212835SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 329.4829.6329.58MIN: 29.27 / MAX: 53.46MIN: 29.48 / MAX: 31.73MIN: 29.45 / MAX: 30.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet1aLinux 5.8Linux 5.9 Git714212835Min: 29.41 / Avg: 29.48 / Max: 29.59Min: 29.61 / Avg: 29.63 / Max: 29.64Min: 29.56 / Avg: 29.58 / Max: 29.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg161aLinux 5.8Linux 5.9 Git306090120150SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3115.53118.81118.17MIN: 113.18 / MAX: 127.99MIN: 116.76 / MAX: 144.96MIN: 115.23 / MAX: 133.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg161aLinux 5.8Linux 5.9 Git20406080100Min: 115.46 / Avg: 115.53 / Max: 115.6Min: 118.69 / Avg: 118.81 / Max: 119.02Min: 118.11 / Avg: 118.17 / Max: 118.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet181aLinux 5.8Linux 5.9 Git714212835SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 328.8829.1929.42MIN: 28.72 / MAX: 30.4MIN: 29 / MAX: 37.11MIN: 28.98 / MAX: 41.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet181aLinux 5.8Linux 5.9 Git714212835Min: 28.86 / Avg: 28.88 / Max: 28.92Min: 29.14 / Avg: 29.19 / Max: 29.24Min: 29.35 / Avg: 29.42 / Max: 29.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet1aLinux 5.8Linux 5.9 Git714212835SE +/- 0.25, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 330.7331.2431.32MIN: 29.32 / MAX: 45.24MIN: 28.86 / MAX: 43.79MIN: 29.49 / MAX: 39.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet1aLinux 5.8Linux 5.9 Git714212835Min: 30.46 / Avg: 30.73 / Max: 31.22Min: 31.16 / Avg: 31.24 / Max: 31.37Min: 31.25 / Avg: 31.32 / Max: 31.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet501aLinux 5.8Linux 5.9 Git1326395265SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 358.8859.5659.44MIN: 58.46 / MAX: 74.49MIN: 59.22 / MAX: 62.83MIN: 59.19 / MAX: 631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet501aLinux 5.8Linux 5.9 Git1224364860Min: 58.85 / Avg: 58.88 / Max: 58.93Min: 59.52 / Avg: 59.56 / Max: 59.61Min: 59.41 / Avg: 59.44 / Max: 59.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny1aLinux 5.8Linux 5.9 Git1122334455SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 350.2550.5450.48MIN: 49.89 / MAX: 52.2MIN: 50.07 / MAX: 81.11MIN: 50.26 / MAX: 65.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny1aLinux 5.8Linux 5.9 Git1020304050Min: 50.03 / Avg: 50.25 / Max: 50.46Min: 50.44 / Avg: 50.54 / Max: 50.6Min: 50.47 / Avg: 50.48 / Max: 50.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 v21aLinux 5.8Linux 5.9 Git90180270360450SE +/- 0.06, N = 3SE +/- 1.65, N = 3SE +/- 0.29, N = 3416.90419.04417.04MIN: 413.67 / MAX: 424.33MIN: 413.82 / MAX: 431.27MIN: 415.53 / MAX: 427.141. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v21aLinux 5.8Linux 5.9 Git70140210280350Min: 416.79 / Avg: 416.9 / Max: 416.99Min: 417.02 / Avg: 419.04 / Max: 422.31Min: 416.65 / Avg: 417.04 / Max: 417.611. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.11aLinux 5.8Linux 5.9 Git90180270360450SE +/- 0.26, N = 3SE +/- 0.26, N = 3SE +/- 0.06, N = 3389.44392.04387.19MIN: 385.38 / MAX: 406.64MIN: 386.77 / MAX: 399.83MIN: 385.82 / MAX: 394.241. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.11aLinux 5.8Linux 5.9 Git70140210280350Min: 388.93 / Avg: 389.44 / Max: 389.71Min: 391.52 / Avg: 392.04 / Max: 392.31Min: 387.08 / Avg: 387.19 / Max: 387.281. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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 Inference Score1aLinux 5.8Linux 5.9 Git120240360480600539536535

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training Score1aLinux 5.8Linux 5.9 Git130260390520650601596597

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI Score1aLinux 5.8Linux 5.9 Git2004006008001000114011321132

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 Commands1aLinux 5.8Linux 5.9 Git1530456075SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 365.2265.7065.051. git version 2.25.1
OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git Commands1aLinux 5.8Linux 5.9 Git1326395265Min: 65.11 / Avg: 65.22 / Max: 65.29Min: 65.56 / Avg: 65.7 / Max: 65.94Min: 64.99 / Avg: 65.05 / Max: 65.111. git version 2.25.1

Tesseract OCR

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 Images1aLinux 5.8Linux 5.9 Git714212835SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 331.5631.6931.53
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 Images1aLinux 5.8Linux 5.9 Git714212835Min: 31.55 / Avg: 31.56 / Max: 31.58Min: 31.68 / Avg: 31.69 / Max: 31.71Min: 31.48 / Avg: 31.53 / Max: 31.6

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 1.2.41aLinux 5.8Linux 5.9 Git2M4M6M8M10MSE +/- 133524.86, N = 9SE +/- 85847.03, N = 3SE +/- 92483.67, N = 92875570606103879845541. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.41aLinux 5.8Linux 5.9 Git1.4M2.8M4.2M5.6M7MMin: 2658932 / Avg: 2875569.78 / Max: 3912907Min: 5960577 / Avg: 6061038.33 / Max: 6231850Min: 7528407 / Avg: 7984553.89 / Max: 84601411. (CXX) g++ options: -O3 -fopenmp

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 100001aLinux 5.8Linux 5.9 Git200K400K600K800K1000KSE +/- 300.35, N = 3SE +/- 2456.58, N = 3SE +/- 1551.05, N = 3788302.8780725.5778638.6
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 100001aLinux 5.8Linux 5.9 Git140K280K420K560K700KMin: 787841.9 / Avg: 788302.83 / Max: 788866.9Min: 776265.4 / Avg: 780725.53 / Max: 784740.2Min: 776553.2 / Avg: 778638.63 / Max: 781670.2

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 100001aLinux 5.8Linux 5.9 Git200K400K600K800K1000KSE +/- 765.67, N = 3SE +/- 1733.63, N = 3SE +/- 1400.53, N = 3842947.2836526.4838896.2
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 100001aLinux 5.8Linux 5.9 Git150K300K450K600K750KMin: 842121.6 / Avg: 842947.17 / Max: 844476.9Min: 833189.5 / Avg: 836526.43 / Max: 839010.4Min: 837448.6 / Avg: 838896.17 / Max: 841696.7

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 100001aLinux 5.8Linux 5.9 Git200K400K600K800K1000KSE +/- 1296.24, N = 3SE +/- 733.38, N = 3SE +/- 1086.60, N = 3847324.6845755.6842927.9
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 100001aLinux 5.8Linux 5.9 Git150K300K450K600K750KMin: 845698.7 / Avg: 847324.63 / Max: 849886.3Min: 844451.2 / Avg: 845755.63 / Max: 846988.7Min: 841568 / Avg: 842927.93 / Max: 845075.9

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 Dynamics1bLinux 5.8Linux 5.9 Git612182430SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 324.5724.6324.46
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics1bLinux 5.8Linux 5.9 Git612182430Min: 24.53 / Avg: 24.57 / Max: 24.63Min: 24.55 / Avg: 24.63 / Max: 24.76Min: 24.45 / Avg: 24.46 / Max: 24.48

FFTE

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1bLinux 5.8Linux 5.9 Git4K8K12K16K20KSE +/- 30.82, N = 3SE +/- 55.87, N = 3SE +/- 62.02, N = 317099.3716367.9816469.591. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1bLinux 5.8Linux 5.9 Git3K6K9K12K15KMin: 17065.97 / Avg: 17099.37 / Max: 17160.93Min: 16289.05 / Avg: 16367.98 / Max: 16475.94Min: 16350.49 / Avg: 16469.59 / Max: 16559.171. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

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 Search1bLinux 5.8Linux 5.9 Git306090120150SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3146.82146.87146.941. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search1bLinux 5.8Linux 5.9 Git306090120150Min: 146.74 / Avg: 146.82 / Max: 146.89Min: 146.82 / Avg: 146.87 / Max: 146.96Min: 146.86 / Avg: 146.94 / Max: 146.981. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

BYTE Unix Benchmark

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

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 21bLinux 5.8Linux 5.9 Git7M14M21M28M35MSE +/- 24181.72, N = 3SE +/- 200749.27, N = 3SE +/- 145373.70, N = 334175921.533676043.334221254.6
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 21bLinux 5.8Linux 5.9 Git6M12M18M24M30MMin: 34149915 / Avg: 34175921.47 / Max: 34224237.8Min: 33274547.1 / Avg: 33676043.3 / Max: 33877979.8Min: 33971809 / Avg: 34221254.63 / Max: 34475334.3

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: 1001bLinux 5.8Linux 5.9 Git20K40K60K80K100KSE +/- 26.19, N = 3SE +/- 75.26, N = 3SE +/- 27.51, N = 37919279664795061. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 1001bLinux 5.8Linux 5.9 Git14K28K42K56K70KMin: 79157 / Avg: 79191.67 / Max: 79243Min: 79518 / Avg: 79664.33 / Max: 79768Min: 79451 / Avg: 79506 / Max: 795351. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 2001bLinux 5.8Linux 5.9 Git30K60K90K120K150KSE +/- 84.87, N = 3SE +/- 10.82, N = 3SE +/- 459.87, N = 31586671593351585931. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 2001bLinux 5.8Linux 5.9 Git30K60K90K120K150KMin: 158499 / Avg: 158667 / Max: 158772Min: 159320 / Avg: 159335 / Max: 159356Min: 157853 / Avg: 158593 / Max: 1594361. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 1001bLinux 5.8Linux 5.9 Git40K80K120K160K200KSE +/- 177.84, N = 3SE +/- 107.76, N = 3SE +/- 92.24, N = 31948471953861953081. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 1001bLinux 5.8Linux 5.9 Git30K60K90K120K150KMin: 194521 / Avg: 194847.33 / Max: 195133Min: 195173 / Avg: 195386 / Max: 195521Min: 195174 / Avg: 195308.33 / Max: 1954851. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 2001bLinux 5.8Linux 5.9 Git80K160K240K320K400KSE +/- 397.84, N = 3SE +/- 238.78, N = 3SE +/- 381.92, N = 33901983907013910331. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 2001bLinux 5.8Linux 5.9 Git70K140K210K280K350KMin: 389432 / Avg: 390197.67 / Max: 390768Min: 390449 / Avg: 390700.67 / Max: 391178Min: 390486 / Avg: 391032.67 / Max: 3917681. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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: FLOAT1bLinux 5.8Linux 5.9 Git70M140M210M280M350MSE +/- 368233.75, N = 3SE +/- 255481.25, N = 3SE +/- 22764.71, N = 3340385345.06337798306.48342293879.011. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT1bLinux 5.8Linux 5.9 Git60M120M180M240M300MMin: 339680314.97 / Avg: 340385345.06 / Max: 340922217.65Min: 337298767.92 / Avg: 337798306.48 / Max: 338141123.74Min: 342268864.75 / Avg: 342293879.01 / Max: 342339331.731. (CC) gcc options: -O3 -march=native -lm

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica1bLinux 5.8Linux 5.9 Git20406080100SE +/- 1.17, N = 3SE +/- 0.72, N = 15SE +/- 0.77, N = 1587.6285.3985.69
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica1bLinux 5.8Linux 5.9 Git20406080100Min: 85.66 / Avg: 87.62 / Max: 89.7Min: 82.42 / Avg: 85.39 / Max: 90.92Min: 81.87 / Avg: 85.69 / Max: 91.73

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda1bLinux 5.8Linux 5.9 Git306090120150SE +/- 0.52, N = 3SE +/- 1.26, N = 3SE +/- 1.39, N = 9126.06130.71130.94
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda1bLinux 5.8Linux 5.9 Git20406080100Min: 125.42 / Avg: 126.06 / Max: 127.09Min: 128.59 / Avg: 130.71 / Max: 132.94Min: 128.61 / Avg: 130.94 / Max: 141.88

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm1bLinux 5.8Linux 5.9 Git816243240SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.18, N = 333.1833.4833.57
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm1bLinux 5.8Linux 5.9 Git714212835Min: 33.06 / Avg: 33.18 / Max: 33.31Min: 33.39 / Avg: 33.48 / Max: 33.59Min: 33.25 / Avg: 33.57 / Max: 33.86

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression1bLinux 5.8Linux 5.9 Git1.3232.6463.9695.2926.615SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 35.785.855.88
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression1bLinux 5.8Linux 5.9 Git246810Min: 5.75 / Avg: 5.78 / Max: 5.83Min: 5.74 / Avg: 5.85 / Max: 5.97Min: 5.75 / Avg: 5.88 / Max: 6

111 Results Shown

RealSR-NCNN
WireGuard + Linux Networking Stack Stress Test
OSBench:
  Create Files
  Create Threads
  Launch Programs
  Create Processes
  Memory Allocations
LeelaChessZero:
  BLAS
  Eigen
  Rand
Rodinia:
  OpenMP LavaMD
  OpenMP HotSpot3D
  OpenMP Leukocyte
  OpenMP CFD Solver
  OpenMP Streamcluster
NAMD
Incompact3D
Timed MAFFT Alignment
Monte Carlo Simulations of Ionised Nebulae
LAMMPS Molecular Dynamics Simulator
WebP Image Encode:
  Default
  Quality 100
  Quality 100, Lossless
  Quality 100, Highest Compression
  Quality 100, Lossless, Highest Compression
Zstd Compression:
  3
  19
LibRaw
oneDNN:
  IP Batch 1D - f32 - CPU
  IP Batch All - f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Deconvolution Batch deconv_1d - f32 - CPU
  Deconvolution Batch deconv_3d - f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
AOM AV1:
  Speed 0 Two-Pass
  Speed 4 Two-Pass
  Speed 6 Realtime
  Speed 6 Two-Pass
  Speed 8 Realtime
Timed Apache Compilation
Timed Linux Kernel Compilation
Timed LLVM Compilation
eSpeak-NG Speech Engine
Montage Astronomical Image Mosaic Engine
System GZIP Decompression
Apache CouchDB
GROMACS
TensorFlow Lite:
  SqueezeNet
  Inception V4
  NASNet Mobile
  Mobilenet Float
  Mobilenet Quant
  Inception ResNet V2
ASTC Encoder:
  Fast
  Medium
  Thorough
  Exhaustive
SQLite Speedtest
G'MIC:
  2D Function Plotting, 1000 Times
  Plotting Isosurface Of A 3D Volume, 1000 Times
  3D Elevated Function In Rand Colors, 100 Times
Inkscape
LibreOffice
OCRMyPDF
RawTherapee
GPAW
Mobile Neural Network:
  SqueezeNetV1.0
  resnet-v2-50
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
NCNN:
  CPU - squeezenet
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
TNN:
  CPU - MobileNet v2
  CPU - SqueezeNet v1.1
AI Benchmark Alpha:
  Device Inference Score
  Device Training Score
  Device AI Score
Git
Tesseract OCR
Kripke
InfluxDB:
  4 - 10000 - 2,5000,1 - 10000
  64 - 10000 - 2,5000,1 - 10000
  1024 - 10000 - 2,5000,1 - 10000
Dolfyn
FFTE
Timed HMMer Search
BYTE Unix Benchmark
Caffe:
  AlexNet - CPU - 100
  AlexNet - CPU - 200
  GoogleNet - CPU - 100
  GoogleNet - CPU - 200
Hierarchical INTegration
Mlpack Benchmark:
  scikit_ica
  scikit_qda
  scikit_svm
  scikit_linearridgeregression

1

Processor: Intel Core i7-6700HQ @ 3.50GHz (4 Cores / 8 Threads), Motherboard: Apple Mac-A5C67F76ED83108C (265.0.0.0.0 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 16GB, Disk: 251GB APPLE SSD SM0256L, Graphics: AMD Radeon RX 460/560D / Pro 450/455/460/555/555X/560/560X 2GB (800/1270MHz), Audio: Cirrus Logic Generic, Monitor: Color LCD, Network: Broadcom BCM43602 802.11ac LAN SoC

OS: Ubuntu 20.04, Kernel: 5.4.0-33-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 2880x1800

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6
Graphics Notes: GLAMOR
Python Notes: Python 3.8.2
Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

Testing initiated at 26 September 2020 15:32 by user phoronix.

1a

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdc
Python Notes: Python 3.8.2
Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

Testing initiated at 26 September 2020 16:03 by user phoronix.

1b

Processor: Intel Core i7-6700HQ @ 3.50GHz (4 Cores / 8 Threads), Motherboard: Apple Mac-A5C67F76ED83108C (265.0.0.0.0 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 16GB, Disk: 251GB APPLE SSD SM0256L, Graphics: AMD Radeon RX 460/560D / Pro 450/455/460/555/555X/560/560X 2GB (800/1270MHz), Audio: Cirrus Logic Generic, Monitor: Color LCD, Network: Broadcom BCM43602 802.11ac LAN SoC

OS: Ubuntu 20.04, Kernel: 5.4.0-48-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 2880x1800

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdc
Python Notes: Python 3.8.2
Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

Testing initiated at 27 September 2020 15:41 by user phoronix.

Linux 5.8

Processor: Intel Core i7-6700HQ @ 3.50GHz (4 Cores / 8 Threads), Motherboard: Apple Mac-A5C67F76ED83108C (265.0.0.0.0 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 16GB, Disk: 251GB APPLE SSD SM0256L, Graphics: AMD Radeon RX 460/560D / Pro 450/455/460/555/555X/560/560X 2GB (800/1270MHz), Audio: Cirrus Logic Generic, Monitor: Color LCD, Network: Broadcom BCM43602 802.11ac LAN SoC

OS: Ubuntu 20.04, Kernel: 5.8.12-050812-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 2880x1800

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdc
Graphics Notes: GLAMOR
Python Notes: Python 3.8.2
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

Testing initiated at 27 September 2020 17:56 by user phoronix.

Linux 5.9 Git

Processor: Intel Core i7-6700HQ @ 3.50GHz (4 Cores / 8 Threads), Motherboard: Apple Mac-A5C67F76ED83108C (265.0.0.0.0 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 16GB, Disk: 251GB APPLE SSD SM0256L, Graphics: AMD Radeon RX 460/560D / Pro 450/455/460/555/555X/560/560X 2GB (800/1270MHz), Audio: Cirrus Logic Generic, Monitor: Color LCD, Network: Broadcom BCM43602 802.11ac LAN SoC

OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc7daily20200928-generic (x86_64) 20200927, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 2880x1800

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdc
Graphics Notes: GLAMOR
Python Notes: Python 3.8.2
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

Testing initiated at 28 September 2020 09:56 by user phoronix.