GM-1000, Karbon 700, CompuLab Airtop PCs

Tests for a future article by Michael Larabel.

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Karbon 700
October 30 2020
  22 Hours, 2 Minutes
CompuLab Airtop
October 31 2020
  19 Hours, 53 Minutes
CompuLab Airtop3
October 29 2020
  12 Hours, 25 Minutes
GM-1000
October 28 2020
  18 Hours
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Karbon 700

Processor: Intel Xeon E-2278GEL @ 3.90GHz (8 Cores / 16 Threads), Motherboard: Logic Supply RXM-181 (Z01-0001A027 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 16GB, Disk: 512GB TS512GMTE510T, Graphics: Intel UHD P630 3GB (1150MHz), Audio: Realtek ALC233, Monitor: VA2431, Network: Intel I219-LM + 2 x Intel I210

OS: Ubuntu 20.10, Kernel: 5.8.0-26-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 4.6 Mesa 20.2.1, Vulkan: 1.2.145, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Disk Notes: NONE / errors=remount-ro,relatime,rw
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3
Java Notes: OpenJDK Runtime Environment (build 11.0.9+11-Ubuntu-0ubuntu1)
Python Notes: Python 3.8.6
Security Notes: itlb_multihit: KVM: Mitigation of VMX unsupported + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Mitigation of TSX disabled + tsx_async_abort: Mitigation of TSX disabled

CompuLab Airtop

Processor: Intel Core i7-5775C @ 3.70GHz (4 Cores / 8 Threads), Motherboard: CompuLab v1.0 (ARTP-3.1.0.637.0.0 X64 BIOS), Chipset: Intel Broadwell-U DMI, Memory: 16GB, Disk: 256GB ADATA SP310, Graphics: eVGA NVIDIA GeForce GTX 950 2GB (1151/3304MHz), Audio: Realtek ALC886, Monitor: G237HL, Network: Intel I218-LM + Intel I210 + Intel 7260

OS: Ubuntu 20.10, Kernel: 5.8.0-26-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: NVIDIA 455.28, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.1.96, Vulkan: 1.2.142, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Disk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw
Processor Notes: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x22 - Thermald 2.3
OpenCL Notes: GPU Compute Cores: 768
Java Notes: OpenJDK Runtime Environment (build 11.0.9+11-Ubuntu-0ubuntu1)
Python Notes: Python 3.8.6
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

CompuLab Airtop3

Processor: Intel Xeon E-2288G @ 5.00GHz (8 Cores / 16 Threads), Motherboard: Compulab SBC-ATCFL v1.2 (ATOP3.PRD.0.29.2 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 64GB, Disk: Samsung SSD 970 EVO Plus 250GB, Graphics: NVIDIA Quadro RTX 4000 8GB (1005/6500MHz), Audio: Intel Cannon Lake PCH cAVS, Monitor: VE228, Network: Intel I219-LM + Intel I210

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Disk Notes: NONE / errors=remount-ro,relatime,rw
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3
OpenCL Notes: GPU Compute Cores: 2304
Java Notes: OpenJDK Runtime Environment (build 11.0.9+11-Ubuntu-0ubuntu1)
Python Notes: Python 3.8.6
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Mitigation of TSX disabled + tsx_async_abort: Mitigation of TSX disabled

GM-1000

Processor: Intel Core i7-9700TE @ 3.80GHz (8 Cores), Motherboard: C OZE GM-1000 v0.0.01.001 (5.13 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 32GB, Disk: CIE M8 T405 512GB, Graphics: NVIDIA Quadro P2000 4GB (1455/3003MHz), Audio: Realtek ALC888-VD, Monitor: DELL S2409W, Network: Intel I219-LM + 2 x Intel 10G X550T + Intel I210

OS: Ubuntu 20.10, Kernel: 5.8.0-25-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: NVIDIA 455.28, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.1.96, Vulkan: 1.2.142, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Disk Notes: NONE / errors=remount-ro,relatime,rw
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3
OpenCL Notes: GPU Compute Cores: 768
Java Notes: OpenJDK Runtime Environment (build 11.0.9+10-post-Ubuntu-0ubuntu1)
Python Notes: Python 3.8.6
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Mitigation of TSX disabled + tsx_async_abort: Mitigation of TSX disabled

GM-1000, Karbon 700, CompuLab Airtop PCsProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionOpenCLKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000Intel Xeon E-2278GEL @ 3.90GHz (8 Cores / 16 Threads)Logic Supply RXM-181 (Z01-0001A027 BIOS)Intel Cannon Lake PCH16GB512GB TS512GMTE510TIntel UHD P630 3GB (1150MHz)Realtek ALC233VA2431Intel I219-LM + 2 x Intel I210Ubuntu 20.105.8.0-26-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.6 Mesa 20.2.11.2.145GCC 10.2.0ext41920x1080Intel Core i7-5775C @ 3.70GHz (4 Cores / 8 Threads)CompuLab v1.0 (ARTP-3.1.0.637.0.0 X64 BIOS)Intel Broadwell-U DMI256GB ADATA SP310eVGA NVIDIA GeForce GTX 950 2GB (1151/3304MHz)Realtek ALC886G237HLIntel I218-LM + Intel I210 + Intel 7260NVIDIA 455.284.6.0OpenCL 1.2 CUDA 11.1.961.2.142Intel Xeon E-2288G @ 5.00GHz (8 Cores / 16 Threads)Compulab SBC-ATCFL v1.2 (ATOP3.PRD.0.29.2 BIOS)Intel Cannon Lake PCH64GBSamsung SSD 970 EVO Plus 250GBNVIDIA Quadro RTX 4000 8GB (1005/6500MHz)Intel Cannon Lake PCH cAVSVE228Intel I219-LM + Intel I210Intel Core i7-9700TE @ 3.80GHz (8 Cores)C OZE GM-1000 v0.0.01.001 (5.13 BIOS)32GBCIE M8 T405 512GBNVIDIA Quadro P2000 4GB (1455/3003MHz)Realtek ALC888-VDDELL S2409WIntel I219-LM + 2 x Intel 10G X550T + Intel I2105.8.0-25-generic (x86_64)OpenBenchmarking.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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Disk Details- Karbon 700: NONE / errors=remount-ro,relatime,rw- CompuLab Airtop: MQ-DEADLINE / errors=remount-ro,relatime,rw- CompuLab Airtop3: NONE / errors=remount-ro,relatime,rw- GM-1000: NONE / errors=remount-ro,relatime,rwProcessor Details- Karbon 700: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3- CompuLab Airtop: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x22 - Thermald 2.3- CompuLab Airtop3: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3- GM-1000: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3Java Details- Karbon 700: OpenJDK Runtime Environment (build 11.0.9+11-Ubuntu-0ubuntu1)- CompuLab Airtop: OpenJDK Runtime Environment (build 11.0.9+11-Ubuntu-0ubuntu1)- CompuLab Airtop3: OpenJDK Runtime Environment (build 11.0.9+11-Ubuntu-0ubuntu1)- GM-1000: OpenJDK Runtime Environment (build 11.0.9+10-post-Ubuntu-0ubuntu1)Python Details- Python 3.8.6Security Details- Karbon 700: itlb_multihit: KVM: Mitigation of VMX unsupported + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Mitigation of TSX disabled + tsx_async_abort: Mitigation of TSX disabled - CompuLab Airtop: 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 - CompuLab Airtop3: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Mitigation of TSX disabled + tsx_async_abort: Mitigation of TSX disabled - GM-1000: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Mitigation of TSX disabled + tsx_async_abort: Mitigation of TSX disabled OpenCL Details- CompuLab Airtop: GPU Compute Cores: 768- CompuLab Airtop3: GPU Compute Cores: 2304- GM-1000: GPU Compute Cores: 768

Karbon 700CompuLab AirtopCompuLab Airtop3GM-1000Logarithmic Result OverviewPhoronix Test SuiteKripkeIORNCNNApache CassandraLAMMPS Molecular Dynamics SimulatorIncompact3DOpenVKLLeelaChessZeroFacebook RocksDBOpenSSLrays1benchTensorFlow LiteNAMDJohn The RipperKvazaarNumenta Anomaly BenchmarkYafaRayTimed Linux Kernel CompilationTimed LLVM CompilationKeyDBIntel Open Image Denoise7-Zip CompressionSVT-AV1LuxCoreRenderSVT-VP9PostgreSQL pgbenchZstd CompressionRealSR-NCNNWaifu2x-NCNN Vulkanx265OCRMyPDFdav1doneDNNTimed GDB GNU Debugger Compilationlibavif avifencTimed PHP CompilationASTC EncoderHigh Performance Conjugate GradientGROMACSFFTETimed Apache CompilationMonte Carlo Simulations of Ionised NebulaeVP9 libvpx EncodingWireGuard + Linux Networking Stack Stress TestPostMarkAI Benchmark AlphaHuginDaCapo BenchmarkRawTherapeeLevelDBeSpeak-NG Speech EngineC-BloscMlpack BenchmarkNumpy BenchmarklibrsvgTimed MAFFT AlignmentMobile Neural NetworkPyPerformanceJava Gradle BuildTesseract OCRDolfynRNNoiseBYTE Unix BenchmarkGitWebP Image EncodeGNU Octave BenchmarkTNNTimed HMMer SearchHierarchical INTegrationLibRawCaffe

GM-1000, Karbon 700, CompuLab Airtop PCsncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - squeezenetncnn: Vulkan GPU - googlenetglmark2: 1920 x 1080ncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - mobilenetior: Read Testonednn: Deconvolution Batch deconv_3d - u8s8f32 - CPUcassandra: Writeswaifu2x-ncnn: 2x - 3 - Norealsr-ncnn: 4x - Yesincompact3d: Cylinderleveldb: Seq Fillonednn: IP Batch All - u8s8f32 - CPUpgbench: 1 - 50 - Read Onlypgbench: 1 - 50 - Read Only - Average Latencyopenvkl: vklBenchmarkonednn: Deconvolution Batch deconv_3d - f32 - CPUlczero: BLASlczero: Eigenjohn-the-ripper: Blowfishleveldb: Hot Readtensorflow-lite: Inception ResNet V2tensorflow-lite: Inception V4tensorflow-lite: SqueezeNettensorflow-lite: Mobilenet Floatrocksdb: Read While Writingrocksdb: Seq Fillonednn: Deconvolution Batch deconv_1d - u8s8f32 - CPUrays1bench: Large Scenerocksdb: Rand Readbrl-cad: VGR Performance Metricastcenc: Thoroughonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUastcenc: Exhaustivenumenta-nab: Relative Entropysvt-av1: Enc Mode 4 - 1080pkvazaar: Bosphorus 4K - Ultra Fasttensorflow-lite: Mobilenet Quantnamd: ATPase Simulation - 327,506 Atomsnumenta-nab: Earthgecko Skylinekvazaar: Bosphorus 4K - Very Fastnumenta-nab: Bayesian Changepointcompress-zstd: 3numenta-nab: Windowed Gaussianbuild-linux-kernel: Time To Compilekvazaar: Bosphorus 1080p - Mediumyafaray: Total Time For Sample Scenekvazaar: Bosphorus 1080p - Very Fastkeydb: build-llvm: Time To Compilekvazaar: Bosphorus 4K - Mediumoidn: Memorialcompress-7zip: Compress Speed Testdacapobench: Tradesoapluxcorerender: DLSCdav1d: Chimera 1080pluxcorerender: Rainbow Colors and Prismdav1d: Summer Nature 1080pjohn-the-ripper: MD5onednn: Recurrent Neural Network Training - f32 - CPUcompress-zstd: 19avifenc: 0avifenc: 2x265: Bosphorus 4Kncnn: Vulkan GPU - vgg16realsr-ncnn: 4x - Norocksdb: Rand Fill Syncncnn: Vulkan GPU - resnet18waifu2x-ncnn: 2x - 3 - Yesncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - alexnetocrmypdf: Processing 60 Page PDF Documentsvt-av1: Enc Mode 0 - 1080px265: Bosphorus 1080ptensorflow-lite: NASNet Mobileonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUdav1d: Summer Nature 4Kbuild-gdb: Time To Compilebuild-php: Time To Compileai-benchmark: Device Inference Scoremlpack: scikit_linearridgeregressiondav1d: Chimera 1080p 10-bitncnn: CPU - vgg16onednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUhpcg: avifenc: 8gromacs: Water Benchmarkonednn: Recurrent Neural Network Inference - f32 - CPUffte: N=256, 3D Complex FFT Routineonednn: IP Batch All - f32 - CPUbuild-apache: Time To Compilevpxenc: Speed 0avifenc: 10mocassin: Dust 2D tau100.0mnn: SqueezeNetV1.0wireguard: leveldb: Rand Deletencnn: CPU - alexnetpostmark: Disk Transaction Performancevpxenc: Speed 5ncnn: CPU - resnet50hugin: Panorama Photo Assistant + Stitching Timeai-benchmark: Device AI Scoreleveldb: Seq Fillrawtherapee: Total Benchmark Timeai-benchmark: Device Training Scorepyperformance: pathlibncnn: CPU - mobilenetncnn: CPU - resnet18pgbench: 1 - 1 - Read Onlyncnn: CPU - squeezenetblosc: blosclzastcenc: Fastpgbench: 1 - 1 - Read Only - Average Latencymlpack: scikit_icanumpy: ncnn: CPU-v2-v2 - mobilenet-v2pyperformance: floatpyperformance: python_startupncnn: CPU - yolov4-tinydacapobench: Jythonrsvg: SVG Files To PNGcaffe: AlexNet - CPU - 100pyperformance: crypto_pyaescaffe: AlexNet - CPU - 200pyperformance: pickle_pure_pythonmafft: Multiple Sequence Alignment - LSU RNAmnn: inception-v3caffe: GoogleNet - CPU - 100pyperformance: raytracecaffe: GoogleNet - CPU - 200pyperformance: 2to3pyperformance: regex_compilepyperformance: django_templatemnn: resnet-v2-50pyperformance: chaospyperformance: gowebp: Defaultjava-gradle-perf: Reactortesseract-ocr: Time To OCR 7 Imagespyperformance: nbodydolfyn: Computational Fluid Dynamicsmlpack: scikit_svmwebp: Quality 100, Lossless, Highest Compressionrnnoise: byte: Dhrystone 2webp: Quality 100tnn: CPU - SqueezeNet v1.1webp: Quality 100, Highest Compressiongit: Time To Complete Common Git Commandspyperformance: json_loadsoctave-benchmark: webp: Quality 100, Losslesshmmer: Pfam Database Searchhint: FLOATtnn: CPU - MobileNet v2libraw: Post-Processing Benchmarkdacapobench: H2kripke: mlpack: scikit_qdarocksdb: Rand Fillncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - shufflenet-v2ncnn: CPU - googlenetastcenc: Mediumpgbench: 1 - 50 - Read Write - Average Latencypgbench: 1 - 50 - Read Writepgbench: 1 - 1 - Read Write - Average Latencypgbench: 1 - 1 - Read Writeleveldb: Seek Randleveldb: Rand Readleveldb: Rand Fillleveldb: Rand Fillleveldb: Overwriteleveldb: Overwriteleveldb: Fill Syncleveldb: Fill Syncopenssl: RSA 4096-bit Performanceespeak: Text-To-Speech Synthesissvt-vp9: Visual Quality Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pkvazaar: Bosphorus 1080p - Ultra Fastonednn: Deconvolution Batch deconv_1d - f32 - CPUonednn: IP Batch 1D - u8s8f32 - CPUonednn: IP Batch 1D - f32 - CPUdacapobench: Tradebeanslammps: Rhodopsin Proteinior: Write TestKarbon 700CompuLab AirtopCompuLab Airtop3GM-100065.8727.5823.5452416.4710.198.1726.19517.184.634955012410.7721764.690512.73032640.541.12752266750.22198.397.886713353061122710.18039526604371977298283202055152245910335417.7204831.933153797246.093.62375384.6629.8702.11516.002051262.80992192.6168.6171.5561609.016.805134.66913.81246.29634.69570969.821051.6003.035.273313551721.05450.531.15432.27594105539.07612.5134.32577.8149.00151.46223.462917523.8579.33550.2225.9228.1900.10441.4426200732.003230.8841100.79117.55283.9257453.9487.55118.127.045872.314996.3540.517251.01217775.746492801108.94326.4286.355.9992659.170207.69244.01323.87694422.8743.4958.573143043.65685.42968518.227.5724.172654423.506843.67.230.03860.81334.997.821148.5242.36488122.5645473310911125043412.44562.30814637947929423833217849.359.9831092551.673256.35025.65113121.02527.2543.02527.46338072622.22.647343.2218.13356.44927.18.56919.972131.201371786567.42537369.08627.1232675741904130.535263582.419.2610.1022.406.2067.1687561.14594113.67310.22954.60733.155.25032.91309.9681.41931.631.67596.13112.7167.536.618032.555646.2734239565.116652.8820.0112.358.4837185.703.733.1810.74232.4511.2904201043.292405.7741024.4666319.873.58281119150.44753.7517.536778473762334.1567087053783620754273236703686406655730213.237620.17186250434486972.575.48320597.5051.0131.2909.743551854.44112282.7965.3382.8842511.427.591217.4088.63391.49621.55346852.161666.6061.983.502267378030.67307.340.73277.97399692605.87023.7203.068120.4616.1033.7447.2706246.1719.92714.098.7042.8320.06827.9138831920.398719.580182.58173.464118.9446154.4763.5181.924.323192.710618.9830.466167.47919794.106635888116.97836.0644.528.25933110.775255.81543.79523.75500017.2146.6075.990135144.66399.21973623.027.0624.242109223.056601.68.680.04760.10276.247.0313610.238.90542726.7195759612511534248912.31563.20414721153829427637519655.254.8201212791.823251.68827.89214022.54921.4245.70925.33136078067.22.804292.5858.44959.82928.08.60121.025117.867370080894.79875301.68228.323456371669476.4646445913.322.5920.3911.14156.8663193.3203015.4794.15243.38520.443.32620.410317.6820.11048.437.78663.9980.9139.0010.29305.623218.6432849442.48877.358.503.633.222.641.661.434.591052.003.313566782081.525378.57991552.827.74572965450.169141.936.65640840765152726.83629461273260697226512153645192337313215665.6421546.114346559610056633.232.56113274.4922.2152.94322.211564961.96010132.85412.0543.0792955.512.45498.50919.02177.73147.21751370.01769.6624.267.534875236921.41644.691.53582.07836454322.59425.799.60959.41212.368.3112.62623441.685.6013.752.1121.6870.13454.9119970817.024816.5236157.4191.59164.68911282.47114.5866.283.964934.090165.0860.819143.88830993.63518867867.690520.9107.774.8052026.581160.38733.73814.23833328.6128.5145.839223633.54560.833110814.319.0015.193355416.2010397.85.530.0342.14420.295.1589.96.8229.06368918.2203930985.9795823398.62844.44410286937620662226413838.942.58185.92001.313196.07320.27110316.67822.4334.79621.58248614938.02.082269.2756.38044.96721.46.48516.022100.192471438878.81023283.96033.3529282126409362.688717380.611.481.315.008.5283.7315972.3724348.9377.66336.18349.036.68748.36472.0620.32539.923.705131.83169.1291.465.046731.889894.4973827916.786253.1716.2810.277.8434425.233.393.009.31476.156.69517207323.214276.624706.78615332.567.76541283730.39080.398.8837178475876544.8545441300601118040636927839380873698109112.820319.74246163314313876.985.91239631.6949.5021.44610.382795244.17868300.5445.6297.1353601.726.115212.6489.01374.75423.54458524.511604.0591.993.702411066800.67354.510.75344.07430834670.34123.3190.816110.7376.5333.3337.87534735.8016.86813.228.1739.6080.07431.4232124616.622416.123692.95155.395114.7966403.1476.1783.074.385023.708316.6720.533231.38630890.906674731114.29132.1155.096.28334411.117269.93226.18722.53657819.6547.3375.788137227.20495.48173219.330.3323.562486225.548600.47.930.04064.72322.076.611229.0143.08483324.631442451168942446211.26863.68212614050525531935218652.351.8871172701.759271.42827.10813822.14528.9346.98229.10036200967.72.780362.1308.57260.37228.48.00721.197131.248360309999.31612369.90827.2633392088958387.816347391.043.102.3823.999.9168.8967261.9885035.9284.74828.45931.128.73330.82260.1460.41492.733.37780.06107.7944.4510.809214.840059.5332436214.870461.45OpenBenchmarking.org

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: Vulkan GPU - Model: yolov4-tinyKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1530456075SE +/- 0.28, N = 3SE +/- 0.01, N = 3SE +/- 0.19, N = 3SE +/- 0.03, N = 365.8716.288.5020.01MIN: 50.88 / MAX: 68.67MIN: 15.64 / MAX: 17.64MIN: 8.02 / MAX: 9.19MIN: 15.5 / MAX: 21.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
MinAvgMaxKarbon 70050.058.165.0GM-100059.066.870.0CompuLab Airtop352.069.480.0CompuLab Airtop55.058.869.0OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20200916CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20200916System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop612182430SE +/- 0.17, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 327.5810.273.6312.35MIN: 27.17 / MAX: 31.88MIN: 9.98 / MAX: 10.78MIN: 3.57 / MAX: 3.76MIN: 11.58 / MAX: 15.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop612182430SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 323.547.843.228.48MIN: 23.24 / MAX: 23.83MIN: 7.62 / MAX: 10.98MIN: 3.2 / MAX: 3.32MIN: 8.04 / MAX: 10.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

GLmark2

This is a test of Linaro's glmark2 port, currently using the X11 OpenGL 2.0 target. GLmark2 is a basic OpenGL benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080Karbon 700GM-1000CompuLab Airtop800160024003200400052434423718
MinAvgMaxKarbon 70044.050.753.0GM-100055.069.472.0CompuLab Airtop334.035.538.0CompuLab Airtop46.056.459.0OpenBenchmarking.orgCelsius, Fewer Is BetterGLmark2 2020.04CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterGLmark2 2020.04System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3153045607527.865.027.8

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: Vulkan GPU - Model: efficientnet-b0Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop48121620SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 316.475.232.645.70MIN: 16.27 / MAX: 16.89MIN: 5.06 / MAX: 5.95MIN: 2.61 / MAX: 2.67MIN: 5.57 / MAX: 6.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop3691215SE +/- 0.22, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 310.193.391.663.73MIN: 9.74 / MAX: 10.79MIN: 3.29 / MAX: 4.22MIN: 1.65 / MAX: 1.69MIN: 3.65 / MAX: 4.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop246810SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 38.173.001.433.18MIN: 7.83 / MAX: 8.44MIN: 2.89 / MAX: 3.84MIN: 1.4 / MAX: 9.39MIN: 3.11 / MAX: 4.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop612182430SE +/- 0.29, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 326.199.314.5910.74MIN: 23.7 / MAX: 35.85MIN: 9 / MAX: 10.28MIN: 4.54 / MAX: 12.63MIN: 9.23 / MAX: 12.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

IOR

IOR is a parallel I/O storage benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Read TestKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop2004006008001000SE +/- 0.53, N = 15SE +/- 4.42, N = 15SE +/- 4.11, N = 13SE +/- 0.82, N = 11517.18476.151052.00232.45MIN: 142.77 / MAX: 594.11MIN: 10.65 / MAX: 548.82MIN: 53.05 / MAX: 1439MIN: 207.97 / MAX: 242.211. (CC) gcc options: -O2 -lm -pthread -lmpi
MinAvgMaxKarbon 70038.038.439.0GM-100049.049.751.0CompuLab Airtop344.045.349.0CompuLab Airtop40.040.040.0OpenBenchmarking.orgCelsius, Fewer Is BetterIOR 3.2.1CPU Temperature Monitor1530456075
OpenBenchmarking.orgCelsius, Fewer Is BetterIOR 3.2.1System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3122436486027.854.027.8

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPUKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop3691215SE +/- 0.00916, N = 9SE +/- 0.01402, N = 9SE +/- 0.02023, N = 9SE +/- 0.00833, N = 94.634956.695173.3135611.29040MIN: 4.53MIN: 6.49MIN: 3.15MIN: 11.221. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70053.063.576.0GM-100061.068.177.0CompuLab Airtop354.069.388.0CompuLab Airtop57.067.279.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.475.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop15K30K45K60K75KSE +/- 581.94, N = 6SE +/- 177.03, N = 15SE +/- 744.79, N = 3SE +/- 299.90, N = 450124207326782020104
MinAvgMaxKarbon 70047.062.272.0GM-100059.068.277.0CompuLab Airtop347.066.481.0CompuLab Airtop52.069.378.0OpenBenchmarking.orgCelsius, Fewer Is BetterApache Cassandra 3.11.4CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterApache Cassandra 3.11.4System Temperature MonitorGM-1000CompuLab Airtop3CompuLab Airtop1428425670Min: 64 / Avg: 72.15 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. 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 with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: NoKarbon 700GM-1000CompuLab Airtop3691215SE +/- 0.003, N = 5SE +/- 0.007, N = 9SE +/- 0.030, N = 1010.7723.2143.292
MinAvgMaxKarbon 70044.052.057.0GM-100055.056.063.0CompuLab Airtop46.046.956.0OpenBenchmarking.orgCelsius, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818CPU Temperature Monitor20406080100
MinAvgMaxGM-100054.062.565.0CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818System Temperature Monitor20406080100

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: YesKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop400800120016002000SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.44, N = 3SE +/- 6.42, N = 91764.69276.6281.53405.77
OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818CPU Temperature MonitorKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1326395265Min: 41 / Avg: 54.25 / Max: 58Min: 50 / Avg: 52.49 / Max: 64Min: 38 / Avg: 40.16 / Max: 59Min: 41 / Avg: 44.38 / Max: 56
OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818System Temperature MonitorGM-1000CompuLab Airtop3CompuLab Airtop1326395265Min: 54 / Avg: 54.07 / Max: 65Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8

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: CylinderKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop2004006008001000SE +/- 1.81, N = 3SE +/- 1.81, N = 3SE +/- 1.24, N = 3SE +/- 4.69, N = 3512.73706.79378.581024.471. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz
OpenBenchmarking.orgCelsius, Fewer Is BetterIncompact3D 2020-09-17CPU Temperature MonitorKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop20406080100Min: 49 / Avg: 67.53 / Max: 76Min: 59 / Avg: 68.96 / Max: 78Min: 51 / Avg: 76.24 / Max: 88Min: 55 / Avg: 83.32 / Max: 87
OpenBenchmarking.orgCelsius, Fewer Is BetterIncompact3D 2020-09-17System Temperature MonitorGM-1000CompuLab Airtop3CompuLab Airtop1428425670Min: 64 / Avg: 74.91 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8

LevelDB

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

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential FillKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1224364860SE +/- 0.15, N = 3SE +/- 0.41, N = 5SE +/- 0.78, N = 3SE +/- 0.07, N = 340.532.552.819.81. (CXX) g++ options: -O3 -lsnappy -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPUKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1632486480SE +/- 0.05, N = 3SE +/- 0.33, N = 3SE +/- 0.06, N = 3SE +/- 0.24, N = 341.1367.7727.7573.58MIN: 35.58MIN: 59.54MIN: 25.65MIN: 72.881. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70053.067.676.0GM-100061.068.677.0CompuLab Airtop356.075.188.0CompuLab Airtop58.080.385.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.175.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read OnlyKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop60K120K180K240K300KSE +/- 470.82, N = 3SE +/- 1251.67, N = 15SE +/- 2332.06, N = 3SE +/- 1589.17, N = 32266751283732965451119151. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average LatencyKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop0.10060.20120.30180.40240.503SE +/- 0.000, N = 3SE +/- 0.003, N = 15SE +/- 0.001, N = 3SE +/- 0.006, N = 30.2210.3900.1690.4471. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxKarbon 70046.057.167.0GM-100057.065.274.0CompuLab Airtop342.058.977.0CompuLab Airtop48.058.969.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.064.175.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0System Temperature Monitor20406080100

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop306090120150SE +/- 0.29, N = 3SE +/- 0.39, N = 3SE +/- 0.98, N = 3SE +/- 0.05, N = 398.3980.39141.9353.75MIN: 1 / MAX: 378MIN: 1 / MAX: 345MIN: 1 / MAX: 580MIN: 1 / MAX: 212
MinAvgMaxKarbon 70054.068.179.0GM-100061.072.278.0CompuLab Airtop356.080.295.0CompuLab Airtop58.075.088.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9System Temperature Monitor20406080100

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPUKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop48121620SE +/- 0.02235, N = 9SE +/- 0.08092, N = 15SE +/- 0.02344, N = 9SE +/- 0.04063, N = 97.886718.883716.6564017.53670MIN: 7.8MIN: 8.11MIN: 6.4MIN: 17.191. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70053.066.280.0GM-100061.067.977.0CompuLab Airtop356.069.387.0CompuLab Airtop58.069.285.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.675.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

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: BLASKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop2004006008001000SE +/- 6.44, N = 3SE +/- 8.54, N = 3SE +/- 10.93, N = 33357848407841. (CXX) g++ options: -flto -pthread
MinAvgMaxKarbon 70050.066.074.0GM-100062.070.578.0CompuLab Airtop356.075.691.0CompuLab Airtop58.088.596.0OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.26CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.975.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.26System Temperature Monitor20406080100

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop160320480640800SE +/- 4.33, N = 3SE +/- 2.52, N = 3SE +/- 7.36, N = 3SE +/- 3.38, N = 33067587657371. (CXX) g++ options: -flto -pthread
MinAvgMaxKarbon 70054.067.975.0GM-100063.071.379.0CompuLab Airtop360.077.896.0CompuLab Airtop64.090.296.0OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.26CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.975.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.26System Temperature Monitor20406080100

John The Ripper

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

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop3K6K9K12K15KSE +/- 103.18, N = 10SE +/- 60.95, N = 13SE +/- 227.62, N = 4112277654152726233-lbz21. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt
MinAvgMaxKarbon 70048.064.774.0GM-100060.068.276.0CompuLab Airtop350.072.988.0CompuLab Airtop52.073.778.0OpenBenchmarking.orgCelsius, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.375.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1System Temperature Monitor20406080100

LevelDB

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

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop3691215SE +/- 0.133, N = 5SE +/- 0.045, N = 15SE +/- 0.037, N = 6SE +/- 0.008, N = 810.1804.8546.8364.1561. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxKarbon 70050.060.467.0GM-100059.066.372.0CompuLab Airtop353.069.782.0CompuLab Airtop50.058.667.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop1.5M3M4.5M6M7.5MSE +/- 17665.88, N = 3SE +/- 40177.63, N = 3SE +/- 1078.35, N = 3SE +/- 615.40, N = 33952660544130029461277087053
MinAvgMaxKarbon 70054.069.776.0GM-100061.069.278.0CompuLab Airtop357.077.595.0CompuLab Airtop60.085.788.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.775.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System Temperature Monitor20406080100

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop2M4M6M8M10MSE +/- 20514.24, N = 3SE +/- 34182.46, N = 3SE +/- 1363.50, N = 3SE +/- 604.55, N = 34371977601118032606977836207
MinAvgMaxKarbon 70053.069.276.0GM-100061.069.077.0CompuLab Airtop357.077.596.0CompuLab Airtop61.086.788.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.775.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System Temperature Monitor20406080100

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop120K240K360K480K600KSE +/- 3356.24, N = 3SE +/- 5447.42, N = 4SE +/- 69.61, N = 3SE +/- 9.24, N = 3298283406369226512542732
MinAvgMaxKarbon 70053.068.575.0GM-100060.068.978.0CompuLab Airtop357.076.693.0CompuLab Airtop62.086.188.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System Temperature Monitor20406080100

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop80K160K240K320K400KSE +/- 2261.01, N = 3SE +/- 4495.68, N = 3SE +/- 175.70, N = 3SE +/- 22.91, N = 3202055278393153645367036
MinAvgMaxKarbon 70054.069.777.0GM-100061.069.278.0CompuLab Airtop357.076.894.0CompuLab Airtop61.084.987.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System Temperature Monitor20406080100

Facebook RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop400K800K1200K1600K2000KSE +/- 15797.71, N = 3SE +/- 8029.23, N = 8SE +/- 19030.80, N = 9SE +/- 1361.04, N = 3152245980873619233738640661. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
MinAvgMaxKarbon 70048.064.172.0GM-100055.065.774.0CompuLab Airtop345.069.986.0CompuLab Airtop52.076.380.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
MinAvgMaxGM-100054.066.075.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6System Temperature Monitor20406080100

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Sequential FillKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop300K600K900K1200K1500KSE +/- 13395.98, N = 5SE +/- 13114.25, N = 15SE +/- 12373.00, N = 15SE +/- 2320.66, N = 4103354198109113215665573021. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
MinAvgMaxKarbon 70052.064.972.0GM-100062.068.877.0CompuLab Airtop354.072.484.0CompuLab Airtop58.072.578.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.176.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6System Temperature Monitor20406080100

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPUKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop3691215SE +/- 0.11012, N = 12SE +/- 0.13560, N = 12SE +/- 0.02496, N = 3SE +/- 0.09759, N = 37.7204812.820305.6421513.23760MIN: 6.41MIN: 8.95MIN: 4.78MIN: 12.921. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70052.067.681.0GM-100061.068.879.0CompuLab Airtop355.070.591.0CompuLab Airtop57.077.384.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.076.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

rays1bench

This is a test of rays1bench, a simple path-tracer / ray-tracing that supports SSE and AVX instructions, multi-threading, and other features. This test profile is measuring the performance of the "large scene" in rays1bench. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1020304050SE +/- 0.30, N = 13SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 331.9319.7446.1120.17
MinAvgMaxKarbon 70056.069.787.0GM-100061.069.378.0CompuLab Airtop359.073.793.0CompuLab Airtop64.087.394.0OpenBenchmarking.orgCelsius, Fewer Is Betterrays1bench 2020-01-09CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.475.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterrays1bench 2020-01-09System Temperature Monitor20406080100

Facebook RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop9M18M27M36M45MSE +/- 368380.75, N = 3SE +/- 338773.40, N = 4SE +/- 49809.36, N = 3SE +/- 86603.84, N = 3315379722461633143465596186250431. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
MinAvgMaxKarbon 70052.067.179.0GM-100062.069.380.0CompuLab Airtop353.073.091.0CompuLab Airtop56.082.787.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.375.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6System Temperature Monitor20406080100

BRL-CAD

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

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricGM-1000CompuLab Airtop3CompuLab Airtop20K40K60K80K100K43138100566448691. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lGLU -lGL -lGLdispatch -lX11 -lXext -lpthread -ldl -luuid -lm
MinAvgMaxGM-100062.069.180.0CompuLab Airtop356.075.288.0CompuLab Airtop44.079.587.0OpenBenchmarking.orgCelsius, Fewer Is BetterBRL-CAD 7.30.8CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.975.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterBRL-CAD 7.30.8System Temperature Monitor20406080100

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: ThoroughKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop20406080100SE +/- 0.72, N = 3SE +/- 1.07, N = 3SE +/- 0.49, N = 3SE +/- 0.01, N = 346.0976.9833.2372.571. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxKarbon 70045.061.172.0GM-100059.067.976.0CompuLab Airtop344.066.882.0CompuLab Airtop49.075.180.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0System Temperature Monitor20406080100

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1.33032.66063.99095.32126.6515SE +/- 0.03701, N = 15SE +/- 0.05068, N = 15SE +/- 0.00686, N = 4SE +/- 0.02910, N = 43.623755.912392.561135.48320MIN: 2.86MIN: 4.17MIN: 2.22MIN: 5.231. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70053.067.983.0GM-100061.068.979.0CompuLab Airtop356.072.294.0CompuLab Airtop60.079.790.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.275.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

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: ExhaustiveKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop140280420560700SE +/- 0.17, N = 3SE +/- 0.59, N = 3SE +/- 0.82, N = 3SE +/- 4.46, N = 3384.66631.69274.49597.501. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxKarbon 70047.064.477.0GM-100060.068.577.0CompuLab Airtop347.071.590.0CompuLab Airtop53.087.492.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0System Temperature MonitorGM-1000CompuLab Airtop3CompuLab Airtop1428425670Min: 64 / Avg: 74.9 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1224364860SE +/- 0.27, N = 15SE +/- 0.44, N = 12SE +/- 0.19, N = 15SE +/- 0.69, N = 429.8749.5022.2251.01
MinAvgMaxKarbon 70043.061.072.0GM-100057.067.376.0CompuLab Airtop340.066.082.0CompuLab Airtop46.067.874.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.575.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1System Temperature Monitor20406080100

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop0.66221.32441.98662.64883.311SE +/- 0.028, N = 3SE +/- 0.025, N = 3SE +/- 0.013, N = 3SE +/- 0.002, N = 32.1151.4462.9431.2901. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
MinAvgMaxKarbon 70053.067.679.0GM-100061.069.380.0CompuLab Airtop357.072.990.0CompuLab Airtop61.086.392.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.075.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8System Temperature Monitor20406080100

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop510152025SE +/- 0.24, N = 4SE +/- 0.15, N = 4SE +/- 0.12, N = 3SE +/- 0.00, N = 316.0010.3822.219.741. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxKarbon 70052.066.279.0GM-100061.068.278.0CompuLab Airtop355.073.190.0CompuLab Airtop63.088.992.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System Temperature Monitor20406080100

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop80K160K240K320K400KSE +/- 2286.50, N = 3SE +/- 4770.18, N = 3SE +/- 67.72, N = 3SE +/- 116.90, N = 3205126279524156496355185
MinAvgMaxKarbon 70054.069.876.0GM-100061.069.378.0CompuLab Airtop357.076.993.0CompuLab Airtop61.084.287.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System Temperature Monitor20406080100

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 AtomsKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop0.99931.99862.99793.99724.9965SE +/- 0.00379, N = 3SE +/- 0.00286, N = 3SE +/- 0.00439, N = 3SE +/- 0.00395, N = 32.809924.178681.960104.44112
MinAvgMaxKarbon 70055.069.579.0GM-100063.071.382.0CompuLab Airtop361.079.4100.0CompuLab Airtop65.088.996.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD 2.14CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.975.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD 2.14System Temperature Monitor20406080100

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop70140210280350SE +/- 1.51, N = 3SE +/- 4.34, N = 3SE +/- 2.03, N = 3SE +/- 1.98, N = 3192.62300.54132.85282.80
MinAvgMaxKarbon 70049.065.275.0GM-100059.069.677.0CompuLab Airtop350.071.988.0CompuLab Airtop51.081.788.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.875.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1System Temperature Monitor20406080100

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop3691215SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 38.615.6212.055.331. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxKarbon 70052.065.779.0GM-100060.068.178.0CompuLab Airtop354.073.791.0CompuLab Airtop62.089.692.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.675.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System Temperature Monitor20406080100

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop20406080100SE +/- 0.22, N = 3SE +/- 1.25, N = 3SE +/- 0.49, N = 15SE +/- 0.85, N = 371.5697.1443.0882.88
MinAvgMaxKarbon 70051.066.274.0GM-100060.069.978.0CompuLab Airtop354.075.899.0CompuLab Airtop60.084.789.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.475.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1System Temperature Monitor20406080100

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: 3Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop8001600240032004000SE +/- 3.71, N = 3SE +/- 4.91, N = 3SE +/- 2.03, N = 3SE +/- 2.72, N = 31609.03601.72955.52511.41. (CC) gcc options: -O3 -pthread -lz -llzma
MinAvgMaxKarbon 70045.054.157.0GM-100057.066.473.0CompuLab Airtop344.059.872.0CompuLab Airtop47.057.366.0OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.4.5CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.4.5System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop612182430SE +/- 0.20, N = 15SE +/- 0.28, N = 14SE +/- 0.15, N = 5SE +/- 0.39, N = 416.8126.1212.4527.59
MinAvgMaxKarbon 70048.062.874.0GM-100059.068.077.0CompuLab Airtop349.070.487.0CompuLab Airtop50.071.078.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.975.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1System Temperature Monitor20406080100

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 CompileKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop50100150200250SE +/- 0.65, N = 3SE +/- 0.47, N = 3SE +/- 0.13, N = 3SE +/- 0.72, N = 3134.67212.6598.51217.41
MinAvgMaxKarbon 70053.067.076.0GM-100061.068.376.0CompuLab Airtop354.073.888.0CompuLab Airtop58.085.090.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Linux Kernel Compilation 5.4CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.475.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Linux Kernel Compilation 5.4System Temperature Monitor20406080100

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop510152025SE +/- 0.23, N = 3SE +/- 0.15, N = 3SE +/- 0.12, N = 3SE +/- 0.00, N = 313.819.0119.028.631. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxKarbon 70051.065.478.0GM-100060.068.078.0CompuLab Airtop354.072.890.0CompuLab Airtop62.088.992.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.375.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System Temperature Monitor20406080100

YafaRay

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

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop80160240320400SE +/- 0.75, N = 3SE +/- 2.21, N = 3SE +/- 0.40, N = 3SE +/- 0.14, N = 3246.30374.75177.73391.501. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
MinAvgMaxKarbon 70055.070.380.0GM-100062.069.179.0CompuLab Airtop358.077.294.0CompuLab Airtop62.089.492.0OpenBenchmarking.orgCelsius, Fewer Is BetterYafaRay 3.4.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.975.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterYafaRay 3.4.1System Temperature Monitor20406080100

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1122334455SE +/- 0.34, N = 14SE +/- 0.24, N = 14SE +/- 0.46, N = 4SE +/- 0.01, N = 334.6923.5447.2121.551. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxKarbon 70052.066.679.0GM-100061.068.278.0CompuLab Airtop355.072.590.0CompuLab Airtop63.087.192.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.375.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System Temperature Monitor20406080100

KeyDB

A benchmark of KeyDB as a multi-threaded fork of the Redis server. The KeyDB benchmark is conducted using memtier-benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop160K320K480K640K800KSE +/- 6113.88, N = 3SE +/- 3781.40, N = 3SE +/- 4773.08, N = 3SE +/- 4325.50, N = 3570969.82458524.51751370.01346852.161. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
MinAvgMaxKarbon 70048.061.470.0GM-100058.065.373.0CompuLab Airtop350.068.682.0CompuLab Airtop46.065.773.0OpenBenchmarking.orgCelsius, Fewer Is BetterKeyDB 6.0.16CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterKeyDB 6.0.16System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

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 CompileKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop400800120016002000SE +/- 0.57, N = 3SE +/- 1.30, N = 3SE +/- 4.62, N = 3SE +/- 9.03, N = 31051.601604.06769.661666.61
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 10.0CPU Temperature MonitorKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop20406080100Min: 54 / Avg: 69.36 / Max: 78Min: 61 / Avg: 69.21 / Max: 78Min: 56 / Avg: 77.27 / Max: 91Min: 62 / Avg: 88.67 / Max: 92
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 10.0System Temperature MonitorGM-1000CompuLab Airtop3CompuLab Airtop1428425670Min: 64 / Avg: 74.93 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop0.95851.9172.87553.8344.7925SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 33.031.994.261.981. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxKarbon 70047.063.777.0GM-100059.067.577.0CompuLab Airtop347.070.890.0CompuLab Airtop48.085.092.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.575.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System Temperature Monitor20406080100

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop246810SE +/- 0.09, N = 3SE +/- 0.04, N = 6SE +/- 0.10, N = 3SE +/- 0.01, N = 35.273.707.533.50
MinAvgMaxKarbon 70054.067.179.0GM-100061.068.677.0CompuLab Airtop357.073.889.0CompuLab Airtop60.088.393.0OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.2.0System Temperature Monitor20406080100

7-Zip Compression

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

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop10K20K30K40K50KSE +/- 59.48, N = 3SE +/- 339.20, N = 4SE +/- 370.06, N = 3SE +/- 77.43, N = 3331352411048752226731. (CXX) g++ options: -pipe -lpthread
MinAvgMaxKarbon 70054.068.275.0GM-100061.069.276.0CompuLab Airtop357.075.893.0CompuLab Airtop60.080.385.0OpenBenchmarking.orgCelsius, Fewer Is Better7-Zip Compression 16.02CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.775.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Better7-Zip Compression 16.02System Temperature Monitor20406080100

DaCapo Benchmark

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

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop2K4K6K8K10KSE +/- 43.34, N = 4SE +/- 85.52, N = 20SE +/- 30.62, N = 13SE +/- 48.38, N = 45172668036927803
MinAvgMaxKarbon 70048.060.469.0GM-100059.068.676.0CompuLab Airtop349.068.383.0CompuLab Airtop51.065.874.0OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.069.575.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1System Temperature Monitor20406080100

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop0.31730.63460.95191.26921.5865SE +/- 0.01, N = 9SE +/- 0.01, N = 15SE +/- 0.02, N = 3SE +/- 0.00, N = 31.050.671.410.67MIN: 0.95 / MAX: 1.29MIN: 0.59 / MAX: 0.97MIN: 1.31 / MAX: 1.69MIN: 0.65 / MAX: 0.68
MinAvgMaxKarbon 70052.066.777.0GM-100061.068.377.0CompuLab Airtop358.074.591.0CompuLab Airtop56.083.287.0OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender 2.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.075.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender 2.3System Temperature Monitor20406080100

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop140280420560700SE +/- 1.11, N = 3SE +/- 2.32, N = 3SE +/- 2.55, N = 3SE +/- 1.02, N = 3450.53354.51644.69307.34MIN: 341.02 / MAX: 685.68MIN: 226.96 / MAX: 562.8MIN: 479.82 / MAX: 947.65MIN: 221.1 / MAX: 501.291. (CC) gcc options: -pthread
OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0CPU Temperature MonitorKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1632486480Min: 50 / Avg: 61.32 / Max: 74Min: 61 / Avg: 69.66 / Max: 76Min: 49 / Avg: 69.57 / Max: 87Min: 50 / Avg: 61.85 / Max: 84
OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0System Temperature MonitorGM-1000CompuLab Airtop3CompuLab Airtop1428425670Min: 64 / Avg: 74.79 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop0.34430.68861.03291.37721.7215SE +/- 0.02, N = 4SE +/- 0.01, N = 12SE +/- 0.01, N = 3SE +/- 0.00, N = 31.150.751.530.73MIN: 1.06 / MAX: 1.42MIN: 0.65 / MAX: 1.15MIN: 1.48 / MAX: 1.81MIN: 0.7 / MAX: 0.8
MinAvgMaxKarbon 70053.067.980.0GM-100061.068.578.0CompuLab Airtop357.075.291.0CompuLab Airtop59.086.890.0OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender 2.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.075.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender 2.3System Temperature Monitor20406080100

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop130260390520650SE +/- 1.38, N = 3SE +/- 0.50, N = 3SE +/- 1.68, N = 3SE +/- 1.58, N = 3432.27344.07582.07277.97MIN: 364.27 / MAX: 468.57MIN: 298.25 / MAX: 380.67MIN: 481.99 / MAX: 638.3MIN: 249.54 / MAX: 307.951. (CC) gcc options: -pthread
MinAvgMaxKarbon 70049.060.668.0GM-100059.069.475.0CompuLab Airtop349.069.280.0CompuLab Airtop50.062.374.0OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.175.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0System Temperature Monitor20406080100

John The Ripper

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

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop200K400K600K800K1000KSE +/- 6589.74, N = 7SE +/- 3391.63, N = 15SE +/- 10984.38, N = 4SE +/- 115.39, N = 3594105430834836454399692-lbz21. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt
MinAvgMaxKarbon 70050.065.378.0GM-100060.068.178.0CompuLab Airtop352.072.589.0CompuLab Airtop53.083.488.0OpenBenchmarking.orgCelsius, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1System Temperature Monitor20406080100

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop140280420560700SE +/- 2.70, N = 3SE +/- 8.43, N = 3SE +/- 2.57, N = 3SE +/- 6.00, N = 9539.08670.34322.59605.87MIN: 524.69MIN: 612.85MIN: 310.92MIN: 563.771. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70053.067.682.0GM-100061.068.677.0CompuLab Airtop355.073.388.0CompuLab Airtop56.084.494.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.875.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

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: 19Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop612182430SE +/- 0.00, N = 3SE +/- 0.25, N = 3SE +/- 0.09, N = 3SE +/- 0.23, N = 312.523.325.723.71. (CC) gcc options: -O3 -pthread -lz -llzma
MinAvgMaxKarbon 70046.057.462.0GM-100058.067.172.0CompuLab Airtop345.064.874.0CompuLab Airtop48.062.668.0OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.4.5CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.4.5System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop4080120160200SE +/- 0.22, N = 3SE +/- 0.11, N = 3SE +/- 0.27, N = 3SE +/- 0.73, N = 3134.33190.8299.61203.071. (CXX) g++ options: -O3 -fPIC
MinAvgMaxKarbon 70054.068.881.0GM-100061.069.578.0CompuLab Airtop357.077.994.0CompuLab Airtop60.086.391.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.675.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3System Temperature Monitor20406080100

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop306090120150SE +/- 0.57, N = 3SE +/- 1.76, N = 3SE +/- 0.11, N = 3SE +/- 0.45, N = 377.81110.7459.41120.461. (CXX) g++ options: -O3 -fPIC
MinAvgMaxKarbon 70053.069.081.0GM-100061.069.478.0CompuLab Airtop356.076.794.0CompuLab Airtop60.086.492.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.375.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3System Temperature Monitor20406080100

x265

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop3691215SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 39.006.5312.366.101. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxKarbon 70053.068.777.0GM-100061.069.680.0CompuLab Airtop356.076.791.0CompuLab Airtop59.084.290.0OpenBenchmarking.orgCelsius, Fewer Is Betterx265 3.4CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.575.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterx265 3.4System Temperature Monitor20406080100

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: Vulkan GPU - Model: vgg16Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop306090120150SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3151.4633.338.3133.74MIN: 150.54 / MAX: 152.37MIN: 32.53 / MAX: 40.22MIN: 33.2 / MAX: 36.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: NoKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop50100150200250SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 4SE +/- 0.09, N = 3223.4637.8812.6347.27
MinAvgMaxKarbon 70039.050.353.0GM-100050.051.060.0CompuLab Airtop342.045.063.0CompuLab Airtop41.041.651.0OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3122436486027.854.027.8

Facebook RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop2K4K6K8K10KSE +/- 68.24, N = 3SE +/- 40.71, N = 15SE +/- 4.06, N = 3SE +/- 4.93, N = 39175347323446241. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
MinAvgMaxKarbon 70049.050.654.0GM-100055.057.662.0CompuLab Airtop346.049.955.0CompuLab Airtop52.054.058.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.064.765.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6System Temperature Monitor20406080100

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: Vulkan GPU - Model: resnet18Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop612182430SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 323.855.801.686.17MIN: 23.55 / MAX: 24.04MIN: 5.62 / MAX: 13.86MIN: 6.05 / MAX: 7.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. 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 with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop20406080100SE +/- 0.027, N = 3SE +/- 0.010, N = 3SE +/- 0.012, N = 7SE +/- 0.167, N = 379.33516.8685.60119.927
MinAvgMaxKarbon 70043.054.457.0GM-100055.055.556.0CompuLab Airtop337.039.353.0CompuLab Airtop45.046.555.0OpenBenchmarking.orgCelsius, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818CPU Temperature Monitor1632486480
OpenBenchmarking.orgCelsius, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3153045607527.865.027.8

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: Vulkan GPU - Model: resnet50Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop1122334455SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 350.2213.223.7514.09MIN: 49.9 / MAX: 50.44MIN: 12.84 / MAX: 29.57MIN: 13.67 / MAX: 16.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop612182430SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 325.928.172.118.70MIN: 25.54 / MAX: 26.26MIN: 7.83 / MAX: 8.81MIN: 8.52 / MAX: 10.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OCRMyPDF

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 10.3.1+dfsgProcessing 60 Page PDF DocumentKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1020304050SE +/- 0.34, N = 6SE +/- 0.48, N = 6SE +/- 0.07, N = 3SE +/- 0.31, N = 328.1939.6121.6942.83
MinAvgMaxKarbon 70051.068.079.0GM-100061.070.679.0CompuLab Airtop354.075.691.0CompuLab Airtop59.082.489.0OpenBenchmarking.orgCelsius, Fewer Is BetterOCRMyPDF 10.3.1+dfsgCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.775.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterOCRMyPDF 10.3.1+dfsgSystem Temperature Monitor20406080100

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop0.03020.06040.09060.12080.151SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.1040.0740.1340.0681. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
MinAvgMaxKarbon 70053.070.777.0GM-100061.071.279.0CompuLab Airtop355.081.495.0CompuLab Airtop63.085.692.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.775.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8System Temperature Monitor20406080100

x265

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1224364860SE +/- 0.41, N = 8SE +/- 0.37, N = 13SE +/- 0.30, N = 5SE +/- 0.09, N = 341.4431.4254.9127.911. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxKarbon 70053.068.377.0GM-100061.069.078.0CompuLab Airtop356.074.590.0CompuLab Airtop60.081.889.0OpenBenchmarking.orgCelsius, Fewer Is Betterx265 3.4CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.076.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterx265 3.4System Temperature Monitor20406080100

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop80K160K240K320K400KSE +/- 2829.30, N = 3SE +/- 4505.57, N = 4SE +/- 758.89, N = 3SE +/- 14.01, N = 3262007321246199708388319
MinAvgMaxKarbon 70054.069.178.0GM-100061.069.278.0CompuLab Airtop357.076.791.0CompuLab Airtop61.085.288.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System Temperature Monitor20406080100

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop714212835SE +/- 0.03, N = 6SE +/- 0.05, N = 7SE +/- 0.02, N = 7SE +/- 0.02, N = 632.0016.6217.0220.40MIN: 31.82MIN: 16.36MIN: 16.91MIN: 20.061. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70053.060.568.0GM-100061.068.576.0CompuLab Airtop357.069.278.0CompuLab Airtop58.073.788.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.975.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop714212835SE +/- 0.01, N = 6SE +/- 0.02, N = 6SE +/- 0.05, N = 7SE +/- 0.05, N = 630.8816.1216.5219.58MIN: 30.58MIN: 15.9MIN: 16.37MIN: 17.981. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70054.059.664.0GM-100061.068.174.0CompuLab Airtop355.066.874.0CompuLab Airtop57.070.480.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.475.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop306090120150SE +/- 0.28, N = 3SE +/- 1.39, N = 4SE +/- 1.02, N = 3SE +/- 0.31, N = 3100.7992.95157.4182.58MIN: 89.28 / MAX: 105.54MIN: 77.22 / MAX: 122.95MIN: 139.25 / MAX: 172.94MIN: 76.45 / MAX: 95.481. (CC) gcc options: -pthread
MinAvgMaxKarbon 70047.062.572.0GM-100059.068.776.0CompuLab Airtop347.070.682.0CompuLab Airtop48.066.877.0OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.075.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0System Temperature Monitor20406080100

Timed GDB GNU Debugger Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop4080120160200SE +/- 0.35, N = 3SE +/- 0.70, N = 3SE +/- 0.08, N = 3SE +/- 0.28, N = 3117.55155.4091.59173.46
MinAvgMaxKarbon 70052.065.675.0GM-100060.068.676.0CompuLab Airtop352.073.088.0CompuLab Airtop57.074.685.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.075.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1System Temperature Monitor20406080100

Timed PHP Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop306090120150SE +/- 0.36, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.08, N = 383.93114.8064.69118.94
MinAvgMaxKarbon 70057.070.280.0GM-100063.070.679.0CompuLab Airtop359.077.493.0CompuLab Airtop64.083.892.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed PHP Compilation 7.4.2CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.175.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTimed PHP Compilation 7.4.2System Temperature Monitor20406080100

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 ScoreKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop20040060080010007456401128615

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1.00582.01163.01744.02325.029SE +/- 0.06, N = 15SE +/- 0.03, N = 15SE +/- 0.03, N = 15SE +/- 0.01, N = 33.943.142.474.47
MinAvgMaxKarbon 70049.059.873.0GM-100060.068.176.0CompuLab Airtop346.064.280.0CompuLab Airtop55.064.884.0OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.064.475.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkSystem Temperature Monitor20406080100

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop306090120150SE +/- 0.06, N = 3SE +/- 0.61, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 387.5576.17114.5863.51MIN: 56.85 / MAX: 197.5MIN: 47.76 / MAX: 187.8MIN: 72.92 / MAX: 273.76MIN: 42.21 / MAX: 145.151. (CC) gcc options: -pthread
OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0CPU Temperature MonitorKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1632486480Min: 48 / Avg: 60.17 / Max: 70Min: 59 / Avg: 69.19 / Max: 74Min: 49 / Avg: 70.26 / Max: 84Min: 50 / Avg: 62.03 / Max: 74
OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0System Temperature MonitorGM-1000CompuLab Airtop3CompuLab Airtop1428425670Min: 64 / Avg: 71.18 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8

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: vgg16Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop306090120150SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.27, N = 3118.1283.0766.2881.92MIN: 117.8 / MAX: 125.35MIN: 81.47 / MAX: 93.06MIN: 65.89 / MAX: 74.14MIN: 81.13 / MAX: 85.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop246810SE +/- 0.01697, N = 4SE +/- 0.04995, N = 4SE +/- 0.00566, N = 4SE +/- 0.01480, N = 47.045874.385023.964934.32319MIN: 6.9MIN: 4.02MIN: 3.9MIN: 3.981. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70054.067.478.0GM-100061.069.278.0CompuLab Airtop355.071.391.0CompuLab Airtop60.081.891.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.375.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

High Performance Conjugate Gradient

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

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop0.92031.84062.76093.68124.6015SE +/- 0.00031, N = 3SE +/- 0.00058, N = 3SE +/- 0.00092, N = 3SE +/- 0.00891, N = 32.314993.708314.090162.710611. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
MinAvgMaxKarbon 70048.059.365.0GM-100061.069.076.0CompuLab Airtop349.068.583.0CompuLab Airtop57.073.378.0OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.775.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1System Temperature Monitor20406080100

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop3691215SE +/- 0.013, N = 6SE +/- 0.014, N = 6SE +/- 0.006, N = 7SE +/- 0.014, N = 56.3546.6725.0868.9831. (CXX) g++ options: -O3 -fPIC
MinAvgMaxKarbon 70053.062.575.0GM-100060.069.077.0CompuLab Airtop355.070.895.0CompuLab Airtop61.071.286.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.066.975.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3System Temperature Monitor20406080100

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 BenchmarkKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop0.18430.36860.55290.73720.9215SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.006, N = 30.5170.5330.8190.4661. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
MinAvgMaxKarbon 70050.064.874.0GM-100058.067.577.0CompuLab Airtop353.072.289.0CompuLab Airtop50.085.695.0OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2020.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.067.775.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2020.3System Temperature Monitor20406080100

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop50100150200250SE +/- 0.50, N = 3SE +/- 0.93, N = 3SE +/- 0.47, N = 3SE +/- 2.10, N = 3251.01231.39143.89167.48MIN: 247.27MIN: 223.49MIN: 141.15MIN: 163.71. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70053.066.574.0GM-100061.068.376.0CompuLab Airtop356.072.284.0CompuLab Airtop60.079.895.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.475.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

FFTE

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

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop7K14K21K28K35KSE +/- 18.12, N = 9SE +/- 47.47, N = 11SE +/- 76.97, N = 11SE +/- 59.46, N = 917775.7530890.9130993.6419794.111. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
MinAvgMaxKarbon 70053.060.068.0GM-100058.064.474.0CompuLab Airtop358.067.785.0CompuLab Airtop61.071.886.0OpenBenchmarking.orgCelsius, Fewer Is BetterFFTE 7.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.064.575.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterFFTE 7.0System Temperature Monitor20406080100

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPUKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop306090120150SE +/- 0.10, N = 3SE +/- 0.53, N = 3SE +/- 0.12, N = 3SE +/- 0.45, N = 3108.94114.2967.69116.98MIN: 99.88MIN: 99.97MIN: 65.58MIN: 114.081. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70052.065.875.0GM-100061.068.174.0CompuLab Airtop356.073.388.0CompuLab Airtop56.078.792.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.875.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

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 CompileKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop816243240SE +/- 0.08, N = 3SE +/- 0.35, N = 7SE +/- 0.03, N = 3SE +/- 0.03, N = 326.4332.1220.9136.06
MinAvgMaxKarbon 70052.063.872.0GM-100060.069.276.0CompuLab Airtop352.071.285.0CompuLab Airtop58.071.882.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Apache Compilation 2.4.41CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.675.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Apache Compilation 2.4.41System Temperature Monitor20406080100

VP9 libvpx Encoding

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop246810SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 36.355.097.774.521. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
MinAvgMaxKarbon 70053.071.174.0GM-100061.071.178.0CompuLab Airtop356.082.890.0CompuLab Airtop61.080.385.0OpenBenchmarking.orgCelsius, Fewer Is BetterVP9 libvpx Encoding 1.8.2CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.675.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterVP9 libvpx Encoding 1.8.2System Temperature Monitor20406080100

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop246810SE +/- 0.006, N = 7SE +/- 0.007, N = 7SE +/- 0.001, N = 8SE +/- 0.010, N = 65.9996.2834.8058.2591. (CXX) g++ options: -O3 -fPIC
MinAvgMaxKarbon 70052.061.872.0GM-100060.067.477.0CompuLab Airtop353.067.588.0CompuLab Airtop59.070.084.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.066.475.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3System Temperature Monitor20406080100

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 tau100.0Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop70140210280350SE +/- 0.67, N = 3SE +/- 1.33, N = 3SE +/- 0.58, N = 3SE +/- 3.84, N = 32653442023311. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lrt -lz
MinAvgMaxKarbon 70054.067.771.0GM-100061.069.076.0CompuLab Airtop357.076.588.0CompuLab Airtop59.080.384.0OpenBenchmarking.orgCelsius, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.875.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24System Temperature Monitor20406080100

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: SqueezeNetV1.0Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop3691215SE +/- 0.008, N = 3SE +/- 0.024, N = 3SE +/- 0.007, N = 3SE +/- 0.028, N = 39.17011.1176.58110.775MIN: 8.87 / MAX: 21.4MIN: 9.82 / MAX: 23.66MIN: 6.13 / MAX: 44.44MIN: 10.62 / MAX: 12.651. (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

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 TestKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop60120180240300SE +/- 0.72, N = 3SE +/- 2.25, N = 3SE +/- 0.53, N = 3SE +/- 0.60, N = 3207.69269.93160.39255.82
MinAvgMaxKarbon 70043.061.065.0GM-100059.068.774.0CompuLab Airtop334.063.074.0CompuLab Airtop49.074.585.0OpenBenchmarking.orgCelsius, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.575.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestSystem Temperature Monitor20406080100

LevelDB

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

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random DeleteKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1020304050SE +/- 0.14, N = 3SE +/- 0.34, N = 4SE +/- 0.21, N = 3SE +/- 0.02, N = 344.0126.1933.7443.801. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxKarbon 70050.058.265.0GM-100058.065.072.0CompuLab Airtop352.065.779.0CompuLab Airtop48.051.861.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

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: alexnetKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop612182430SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 323.8722.5314.2323.75MIN: 23.7 / MAX: 32.05MIN: 21.39 / MAX: 32.99MIN: 14 / MAX: 14.66MIN: 23.46 / MAX: 25.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

PostMark

This is a test of NetApp's PostMark benchmark designed to simulate small-file testing similar to the tasks endured by web and mail servers. This test profile will set PostMark to perform 25,000 transactions with 500 files simultaneously with the file sizes ranging between 5 and 512 kilobytes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostMark 1.51Disk Transaction PerformanceKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop2K4K6K8K10K69446578833350001. (CC) gcc options: -O3
MinAvgMaxKarbon 70038.049.451.0GM-100049.059.262.0CompuLab Airtop343.060.065.0CompuLab Airtop40.049.652.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostMark 1.51CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPostMark 1.51System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3122436486027.854.027.8

VP9 libvpx Encoding

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop714212835SE +/- 0.09, N = 3SE +/- 0.20, N = 8SE +/- 0.15, N = 3SE +/- 0.10, N = 322.8719.6528.6117.211. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
MinAvgMaxKarbon 70053.067.673.0GM-100061.070.877.0CompuLab Airtop357.078.488.0CompuLab Airtop59.076.182.0OpenBenchmarking.orgCelsius, Fewer Is BetterVP9 libvpx Encoding 1.8.2CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.675.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterVP9 libvpx Encoding 1.8.2System Temperature Monitor20406080100

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: resnet50Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop1122334455SE +/- 0.06, N = 3SE +/- 0.19, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 343.4947.3328.5146.60MIN: 41.8 / MAX: 45.89MIN: 44.74 / MAX: 59.62MIN: 27.85 / MAX: 37.31MIN: 46.17 / MAX: 50.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Hugin

Hugin is an open-source, cross-platform panorama photo stitcher software package. This test profile times how long it takes to run the assistant and panorama photo stitching on a set of images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop20406080100SE +/- 0.35, N = 3SE +/- 0.89, N = 3SE +/- 0.49, N = 3SE +/- 0.60, N = 358.5775.7945.8475.99
MinAvgMaxKarbon 70052.067.075.0GM-100061.072.277.0CompuLab Airtop356.080.192.0CompuLab Airtop62.079.090.0OpenBenchmarking.orgCelsius, Fewer Is BetterHuginCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.175.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterHuginSystem Temperature Monitor20406080100

AI Benchmark Alpha

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

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop50010001500200025001430137222361351
OpenBenchmarking.orgCelsius, Fewer Is BetterAI Benchmark Alpha 0.1.2CPU Temperature MonitorKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop20406080100Min: 45 / Avg: 64 / Max: 76Min: 58 / Avg: 68.63 / Max: 76Min: 41 / Avg: 70.68 / Max: 90Min: 50 / Avg: 84.08 / Max: 96
OpenBenchmarking.orgCelsius, Fewer Is BetterAI Benchmark Alpha 0.1.2System Temperature MonitorGM-1000CompuLab Airtop3CompuLab Airtop1428425670Min: 64 / Avg: 73.64 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8

LevelDB

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

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential FillKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1020304050SE +/- 0.15, N = 3SE +/- 0.33, N = 5SE +/- 0.49, N = 3SE +/- 0.18, N = 343.6627.2033.5544.661. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxKarbon 70049.057.262.0GM-100058.064.970.0CompuLab Airtop351.066.781.0CompuLab Airtop47.051.058.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

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 TimeKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop20406080100SE +/- 0.32, N = 3SE +/- 1.25, N = 3SE +/- 0.51, N = 3SE +/- 0.03, N = 385.4395.4860.8399.221. RawTherapee, version 5.8, command line.
MinAvgMaxKarbon 70050.066.374.0GM-100060.069.977.0CompuLab Airtop351.076.788.0CompuLab Airtop57.078.185.0OpenBenchmarking.orgCelsius, Fewer Is BetterRawTherapeeCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.475.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterRawTherapeeSystem Temperature Monitor20406080100

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 Training ScoreKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop20040060080010006857321108736

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop612182430SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.09, N = 318.219.314.323.0
MinAvgMaxKarbon 70046.058.661.0GM-100057.068.471.0CompuLab Airtop345.064.870.0CompuLab Airtop49.058.761.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

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: mobilenetKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop714212835SE +/- 0.01, N = 3SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 327.5730.3319.0027.06MIN: 27.32 / MAX: 28.23MIN: 28.89 / MAX: 41.86MIN: 18.81 / MAX: 19.51MIN: 26.9 / MAX: 28.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop612182430SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.22, N = 3SE +/- 0.05, N = 324.1723.5615.1924.24MIN: 23.62 / MAX: 25MIN: 21.32 / MAX: 35.12MIN: 14.53 / MAX: 15.97MIN: 24 / MAX: 34.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read OnlyKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop7K14K21K28K35KSE +/- 116.17, N = 3SE +/- 159.81, N = 3SE +/- 56.86, N = 3SE +/- 191.07, N = 15265442486233554210921. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

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: squeezenetKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop612182430SE +/- 0.00, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 323.5025.5416.2023.05MIN: 23.31 / MAX: 24.17MIN: 24.15 / MAX: 35.43MIN: 15.74 / MAX: 23.82MIN: 22.62 / MAX: 24.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

C-Blosc

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

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop2K4K6K8K10KSE +/- 13.18, N = 3SE +/- 11.16, N = 4SE +/- 6.83, N = 3SE +/- 27.03, N = 36843.68600.410397.86601.61. (CXX) g++ options: -rdynamic
MinAvgMaxKarbon 70049.058.562.0GM-100062.069.474.0CompuLab Airtop349.064.071.0CompuLab Airtop58.068.174.0OpenBenchmarking.orgCelsius, Fewer Is BetterC-Blosc 2.0 Beta 5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.175.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterC-Blosc 2.0 Beta 5System Temperature Monitor20406080100

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: FastKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop246810SE +/- 0.03, N = 6SE +/- 0.01, N = 6SE +/- 0.00, N = 7SE +/- 0.01, N = 57.237.935.538.681. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxKarbon 70043.053.764.0GM-100058.066.275.0CompuLab Airtop341.056.377.0CompuLab Airtop48.059.270.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.067.475.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0System Temperature Monitor20406080100

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average LatencyKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop0.01060.02120.03180.04240.053SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 150.0380.0400.0300.0471. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxKarbon 70052.057.863.0GM-100060.064.570.0CompuLab Airtop354.063.274.0CompuLab Airtop52.058.869.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1428425670SE +/- 0.73, N = 3SE +/- 1.11, N = 3SE +/- 0.52, N = 3SE +/- 0.09, N = 360.8164.7242.1460.10
MinAvgMaxKarbon 70049.067.073.0GM-100060.068.876.0CompuLab Airtop351.076.486.0CompuLab Airtop56.076.385.0OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.875.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkSystem Temperature Monitor20406080100

Numpy Benchmark

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

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop90180270360450SE +/- 1.03, N = 3SE +/- 0.61, N = 3SE +/- 0.95, N = 3SE +/- 0.36, N = 3334.99322.07420.29276.24
MinAvgMaxKarbon 70052.066.671.0GM-100060.072.876.0CompuLab Airtop353.078.487.0CompuLab Airtop55.068.777.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumpy BenchmarkCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.975.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterNumpy BenchmarkSystem Temperature Monitor20406080100

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop246810SE +/- 0.02, N = 3SE +/- 0.22, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 37.826.615.157.03MIN: 7.64 / MAX: 8.38MIN: 5.61 / MAX: 9.69MIN: 5.01 / MAX: 5.7MIN: 6.92 / MAX: 8.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop306090120150SE +/- 0.33, N = 3SE +/- 0.06, N = 3114.0122.089.9136.0
MinAvgMaxKarbon 70047.058.464.0GM-100057.067.072.0CompuLab Airtop347.069.576.0CompuLab Airtop50.060.464.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop3691215SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 38.529.016.8210.20
MinAvgMaxKarbon 70044.054.058.0GM-100057.065.668.0CompuLab Airtop341.052.660.0CompuLab Airtop46.052.956.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1020304050SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.19, N = 3SE +/- 0.15, N = 342.3643.0829.0638.90MIN: 41.91 / MAX: 50.86MIN: 41.28 / MAX: 53.54MIN: 28.14 / MAX: 101.73MIN: 38.21 / MAX: 47.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
MinAvgMaxKarbon 70053.067.372.0GM-100061.069.178.0CompuLab Airtop356.075.286.0CompuLab Airtop60.083.090.0OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20200916CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.475.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20200916System Temperature Monitor20406080100

DaCapo Benchmark

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

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop12002400360048006000SE +/- 54.95, N = 7SE +/- 23.71, N = 6SE +/- 38.10, N = 7SE +/- 44.43, N = 64881483336895427
MinAvgMaxKarbon 70049.057.666.0GM-100060.067.074.0CompuLab Airtop349.062.278.0CompuLab Airtop52.061.070.0OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.066.675.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1System Temperature Monitor20406080100

librsvg

RSVG/librsvg is an SVG vector graphics library. This test profile times how long it takes to complete various operations by rsvg-convert. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop612182430SE +/- 0.13, N = 3SE +/- 0.42, N = 3SE +/- 0.06, N = 3SE +/- 0.26, N = 322.5624.6318.2226.721. rsvg-convert version 2.50.1
MinAvgMaxKarbon 70052.061.265.0GM-100061.069.073.0CompuLab Airtop353.068.477.0CompuLab Airtop57.064.869.0OpenBenchmarking.orgCelsius, Fewer Is BetterlibrsvgCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.069.875.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterlibrsvgSystem Temperature Monitor20406080100

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: 100Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop12K24K36K48K60KSE +/- 777.23, N = 4SE +/- 486.77, N = 7SE +/- 402.90, N = 3SE +/- 90.44, N = 3547334424539309575961. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxKarbon 70050.066.175.0GM-100060.068.978.0CompuLab Airtop351.072.890.0CompuLab Airtop56.076.480.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.075.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13System Temperature Monitor20406080100

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop306090120150SE +/- 0.33, N = 3SE +/- 0.03, N = 3109.0116.085.9125.0
MinAvgMaxKarbon 70045.056.861.0GM-100057.066.070.0CompuLab Airtop343.065.973.0CompuLab Airtop47.057.161.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

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: 200Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop20K40K60K80K100KSE +/- 595.64, N = 3SE +/- 906.54, N = 3SE +/- 476.82, N = 3SE +/- 108.07, N = 311125089424795821153421. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxKarbon 70052.067.076.0GM-100061.069.079.0CompuLab Airtop354.072.991.0CompuLab Airtop57.078.882.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.575.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13System Temperature Monitor20406080100

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop110220330440550SE +/- 2.73, N = 3434462339489
MinAvgMaxKarbon 70044.056.560.0GM-100057.067.171.0CompuLab Airtop341.061.469.0CompuLab Airtop46.056.860.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

Timed MAFFT Alignment

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNAKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop3691215SE +/- 0.024, N = 4SE +/- 0.101, N = 11SE +/- 0.018, N = 5SE +/- 0.091, N = 412.44511.2688.62812.3151. (CC) gcc options: -std=c99 -O3 -lm -lpthread
MinAvgMaxKarbon 70054.065.372.0GM-100061.070.578.0CompuLab Airtop359.075.991.0CompuLab Airtop61.073.985.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed MAFFT Alignment 7.471CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.975.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTimed MAFFT Alignment 7.471System Temperature Monitor20406080100

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop1428425670SE +/- 0.53, N = 3SE +/- 0.28, N = 3SE +/- 0.09, N = 3SE +/- 0.36, N = 362.3163.6844.4463.20MIN: 50.28 / MAX: 75.48MIN: 58.94 / MAX: 77.62MIN: 43.87 / MAX: 110.57MIN: 60.21 / MAX: 126.581. (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
MinAvgMaxKarbon 70055.068.880.0GM-100061.069.180.0CompuLab Airtop357.075.694.0CompuLab Airtop60.085.388.0OpenBenchmarking.orgCelsius, Fewer Is BetterMobile Neural Network 2020-09-17CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.775.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterMobile Neural Network 2020-09-17System Temperature Monitor20406080100

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop30K60K90K120K150KSE +/- 614.60, N = 3SE +/- 87.22, N = 3SE +/- 164.54, N = 3SE +/- 192.70, N = 31463791261401028691472111. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxKarbon 70053.068.078.0GM-100061.069.178.0CompuLab Airtop355.074.792.0CompuLab Airtop58.080.284.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.675.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13System Temperature Monitor20406080100

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop120240360480600SE +/- 0.67, N = 3SE +/- 0.88, N = 3479505376538
MinAvgMaxKarbon 70046.060.863.0GM-100057.070.273.0CompuLab Airtop344.066.474.0CompuLab Airtop48.059.762.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop60K120K180K240K300KSE +/- 572.20, N = 3SE +/- 2728.74, N = 3SE +/- 196.94, N = 3SE +/- 117.62, N = 32942382553192066222942761. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxKarbon 70053.068.680.0GM-100062.069.278.0CompuLab Airtop357.075.993.0CompuLab Airtop59.082.186.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.875.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13System Temperature Monitor20406080100

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop80160240320400SE +/- 0.67, N = 3332352264375
MinAvgMaxKarbon 70049.058.765.0GM-100058.067.872.0CompuLab Airtop350.061.178.0CompuLab Airtop52.060.566.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop4080120160200SE +/- 0.58, N = 3178186138196
MinAvgMaxKarbon 70045.057.360.0GM-100057.067.571.0CompuLab Airtop342.063.470.0CompuLab Airtop47.057.461.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1224364860SE +/- 0.15, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 349.352.338.955.2
MinAvgMaxKarbon 70044.056.560.0GM-100057.067.070.0CompuLab Airtop340.062.467.0CompuLab Airtop46.056.259.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop1326395265SE +/- 0.05, N = 3SE +/- 0.24, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 359.9851.8942.5854.82MIN: 57.88 / MAX: 70.26MIN: 48.29 / MAX: 64.91MIN: 42.1 / MAX: 110.22MIN: 49.62 / MAX: 90.531. (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

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop306090120150SE +/- 1.00, N = 3SE +/- 0.06, N = 3109.0117.085.9121.0
MinAvgMaxKarbon 70047.059.062.0GM-100058.067.672.0CompuLab Airtop349.072.479.0CompuLab Airtop50.060.564.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop60120180240300SE +/- 1.67, N = 3255270200279
MinAvgMaxKarbon 70050.057.967.0GM-100059.065.573.0CompuLab Airtop353.076.684.0CompuLab Airtop55.060.669.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

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: DefaultKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop0.41020.82041.23061.64082.051SE +/- 0.002, N = 13SE +/- 0.003, N = 11SE +/- 0.000, N = 12SE +/- 0.001, N = 111.6731.7591.3131.8231. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxKarbon 70052.056.966.0GM-100060.064.373.0CompuLab Airtop354.060.881.0CompuLab Airtop56.060.469.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

Java Gradle Build

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

OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop60120180240300SE +/- 3.91, N = 9SE +/- 3.29, N = 3SE +/- 2.24, N = 12SE +/- 3.19, N = 9256.35271.43196.07251.69
OpenBenchmarking.orgCelsius, Fewer Is BetterJava Gradle BuildCPU Temperature MonitorKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop20406080100Min: 48 / Avg: 64.94 / Max: 74Min: 59 / Avg: 70.57 / Max: 76Min: 48 / Avg: 75.61 / Max: 88Min: 52 / Avg: 68.26 / Max: 78
OpenBenchmarking.orgCelsius, Fewer Is BetterJava Gradle BuildSystem Temperature MonitorGM-1000CompuLab Airtop3CompuLab Airtop1428425670Min: 64 / Avg: 73.2 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8

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 ImagesKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop714212835SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 325.6527.1120.2727.89
MinAvgMaxKarbon 70047.058.163.0GM-100059.069.673.0CompuLab Airtop344.063.573.0CompuLab Airtop53.063.667.0OpenBenchmarking.orgCelsius, Fewer Is BetterTesseract OCR 4.1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterTesseract OCR 4.1.1System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop306090120150SE +/- 0.33, N = 3131138103140
MinAvgMaxKarbon 70047.058.162.0GM-100058.067.972.0CompuLab Airtop347.066.875.0CompuLab Airtop49.059.864.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

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 DynamicsKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop510152025SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 321.0322.1516.6822.55
MinAvgMaxKarbon 70055.065.869.0GM-100063.073.877.0CompuLab Airtop359.080.289.0CompuLab Airtop63.074.378.0OpenBenchmarking.orgCelsius, Fewer Is BetterDolfyn 0.527CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.275.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterDolfyn 0.527System Temperature Monitor20406080100

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop714212835SE +/- 0.01, N = 3SE +/- 0.20, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 327.2528.9322.4321.42
MinAvgMaxKarbon 70052.060.968.0GM-100061.068.474.0CompuLab Airtop351.067.879.0CompuLab Airtop57.066.469.0OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkCPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkSystem Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1122334455SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 343.0346.9834.8045.711. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxKarbon 70049.060.867.0GM-100059.070.376.0CompuLab Airtop349.068.879.0CompuLab Airtop52.066.071.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.067.975.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1System Temperature Monitor20406080100

RNNoise

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop714212835SE +/- 0.01, N = 3SE +/- 0.17, N = 3SE +/- 0.01, N = 3SE +/- 0.15, N = 327.4629.1021.5825.331. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
MinAvgMaxKarbon 70047.057.360.0GM-100058.068.070.0CompuLab Airtop347.065.671.0CompuLab Airtop49.058.362.0OpenBenchmarking.orgCelsius, Fewer Is BetterRNNoise 2020-06-28CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterRNNoise 2020-06-28System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

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 2Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop10M20M30M40M50MSE +/- 87756.94, N = 3SE +/- 15338.08, N = 3SE +/- 180310.11, N = 3SE +/- 360329.39, N = 338072622.236200967.748614938.036078067.2
MinAvgMaxKarbon 70046.054.163.0GM-100057.064.674.0CompuLab Airtop344.059.878.0CompuLab Airtop48.055.465.0OpenBenchmarking.orgCelsius, Fewer Is BetterBYTE Unix Benchmark 3.6CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterBYTE Unix Benchmark 3.6System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop0.63091.26181.89272.52363.1545SE +/- 0.001, N = 10SE +/- 0.001, N = 9SE +/- 0.002, N = 10SE +/- 0.002, N = 92.6472.7802.0822.8041. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxKarbon 70050.056.165.0GM-100059.064.172.0CompuLab Airtop352.060.577.0CompuLab Airtop55.059.567.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop80160240320400SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3343.22362.13269.28292.59MIN: 342.72 / MAX: 356.39MIN: 361.7 / MAX: 362.7MIN: 268.32 / MAX: 274.07MIN: 291.2 / MAX: 293.741. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
MinAvgMaxKarbon 70048.055.860.0GM-100060.069.974.0CompuLab Airtop349.065.576.0CompuLab Airtop52.062.866.0OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.2.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.575.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.2.3System Temperature Monitor20406080100

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop246810SE +/- 0.014, N = 6SE +/- 0.007, N = 5SE +/- 0.006, N = 6SE +/- 0.011, N = 58.1338.5726.3808.4491. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxKarbon 70049.057.763.0GM-100059.066.671.0CompuLab Airtop350.065.676.0CompuLab Airtop53.060.765.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

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 CommandsKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1428425670SE +/- 0.16, N = 3SE +/- 0.41, N = 3SE +/- 0.08, N = 3SE +/- 0.17, N = 356.4560.3744.9759.831. git version 2.27.0
MinAvgMaxKarbon 70051.062.465.0GM-100060.070.874.0CompuLab Airtop353.074.579.0CompuLab Airtop58.069.673.0OpenBenchmarking.orgCelsius, Fewer Is BetterGitCPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterGitSystem Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop714212835SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.19, N = 3SE +/- 0.17, N = 327.128.421.428.0
MinAvgMaxKarbon 70045.057.561.0GM-100057.067.671.0CompuLab Airtop343.063.670.0CompuLab Airtop47.057.761.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

GNU Octave Benchmark

This test profile measures how long it takes to complete several reference GNU Octave files via octave-benchmark. GNU Octave is used for numerical computations and is an open-source alternative to MATLAB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop246810SE +/- 0.027, N = 5SE +/- 0.022, N = 6SE +/- 0.020, N = 6SE +/- 0.032, N = 58.5698.0076.4858.601
MinAvgMaxKarbon 70052.058.567.0GM-100061.067.374.0CompuLab Airtop353.066.683.0CompuLab Airtop59.066.674.0OpenBenchmarking.orgCelsius, Fewer Is BetterGNU Octave Benchmark 5.2.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterGNU Octave Benchmark 5.2.0System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 4SE +/- 0.00, N = 319.9721.2016.0221.031. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxKarbon 70050.058.965.0GM-100059.066.872.0CompuLab Airtop351.065.878.0CompuLab Airtop54.062.366.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

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 SearchKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop306090120150SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3131.20131.25100.19117.871. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
MinAvgMaxKarbon 70052.059.164.0GM-100059.067.872.0CompuLab Airtop352.069.680.0CompuLab Airtop57.068.374.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed HMMer Search 3.3.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed HMMer Search 3.3.1System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

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: FLOATKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop100M200M300M400M500MSE +/- 666152.61, N = 3SE +/- 534147.70, N = 3SE +/- 825158.10, N = 3SE +/- 478845.36, N = 3371786567.43360309999.32471438878.81370080894.801. (CC) gcc options: -O3 -march=native -lm
MinAvgMaxKarbon 70046.057.262.0GM-100059.066.669.0CompuLab Airtop343.063.476.0CompuLab Airtop53.065.372.0OpenBenchmarking.orgCelsius, Fewer Is BetterHierarchical INTegration 1.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterHierarchical INTegration 1.0System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

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 v2Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop80160240320400SE +/- 0.91, N = 3SE +/- 0.15, N = 3SE +/- 0.57, N = 3SE +/- 0.12, N = 3369.09369.91283.96301.68MIN: 367.26 / MAX: 372.62MIN: 368.82 / MAX: 373.15MIN: 282.43 / MAX: 316.3MIN: 300.63 / MAX: 304.861. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
MinAvgMaxKarbon 70048.058.063.0GM-100059.069.874.0CompuLab Airtop349.070.380.0CompuLab Airtop53.063.767.0OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.2.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.066.475.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.2.3System Temperature Monitor20406080100

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 BenchmarkKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop816243240SE +/- 0.08, N = 3SE +/- 0.32, N = 3SE +/- 0.10, N = 3SE +/- 0.10, N = 327.1227.2633.3528.321. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
MinAvgMaxKarbon 70048.062.768.0GM-100059.069.974.0CompuLab Airtop350.074.482.0CompuLab Airtop51.068.574.0OpenBenchmarking.orgCelsius, Fewer Is BetterLibRaw 0.20CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.069.675.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterLibRaw 0.20System Temperature Monitor20406080100

DaCapo Benchmark

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

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop7001400210028003500SE +/- 41.03, N = 20SE +/- 39.15, N = 20SE +/- 28.32, N = 20SE +/- 26.08, N = 203267333929283456
MinAvgMaxKarbon 70050.058.667.0GM-100060.067.775.0CompuLab Airtop351.064.683.0CompuLab Airtop53.061.971.0OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.275.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1System Temperature Monitor20406080100

System Temperature Monitor

OpenBenchmarking.orgCelsiusSystem Temperature MonitorPhoronix Test Suite System MonitoringGM-10001530456075Min: 54 / Avg: 71.36 / Max: 76

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop20406080100Min: 38 / Avg: 60.6 / Max: 87Min: 49 / Avg: 67.98 / Max: 82Min: 34 / Avg: 70.36 / Max: 100Min: 40 / Avg: 70.91 / Max: 96

Kripke

OpenBenchmarking.orgCelsius, Fewer Is BetterKripke 1.2.4System Temperature MonitorGM-1000CompuLab Airtop3CompuLab Airtop1428425670Min: 64 / Avg: 64.15 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8

OpenBenchmarking.orgCelsius, Fewer Is BetterKripke 1.2.4CPU Temperature MonitorKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1530456075Min: 44 / Avg: 50.99 / Max: 61Min: 58 / Avg: 67.81 / Max: 72Min: 43 / Avg: 67.58 / Max: 81Min: 44 / Avg: 47.63 / Max: 75

Mlpack Benchmark

OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkSystem Temperature MonitorGM-1000CompuLab Airtop3CompuLab Airtop1428425670Min: 64 / Avg: 72.96 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8

OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkCPU Temperature MonitorKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop20406080100Min: 52 / Avg: 64.81 / Max: 74Min: 61 / Avg: 69.22 / Max: 76Min: 53 / Avg: 71.15 / Max: 84Min: 57 / Avg: 74.3 / Max: 94

Facebook RocksDB

MinAvgMaxGM-100064.071.475.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6System Temperature Monitor20406080100

MinAvgMaxKarbon 70051.063.172.0GM-100061.069.176.0CompuLab Airtop351.071.483.0CompuLab Airtop55.073.677.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100

ASTC Encoder

MinAvgMaxGM-100064.071.075.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0System Temperature Monitor20406080100

MinAvgMaxKarbon 70044.058.869.0GM-100059.068.576.0CompuLab Airtop342.063.080.0CompuLab Airtop48.064.274.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100

PostgreSQL pgbench

OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

MinAvgMaxKarbon 70043.045.449.0GM-100058.059.060.0CompuLab Airtop342.043.746.0CompuLab Airtop48.049.150.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor1632486480

OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

MinAvgMaxKarbon 70047.050.055.0GM-100058.058.960.0CompuLab Airtop342.046.955.0CompuLab Airtop49.050.452.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor1632486480

LevelDB

OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

MinAvgMaxKarbon 70048.060.965.0GM-100058.065.071.0CompuLab Airtop350.068.678.0CompuLab Airtop47.057.866.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100

OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

MinAvgMaxKarbon 70046.058.163.0GM-100057.063.670.0CompuLab Airtop347.065.377.0CompuLab Airtop47.055.464.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100

OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

MinAvgMaxKarbon 70047.051.261.0GM-100057.060.868.0CompuLab Airtop347.057.277.0CompuLab Airtop47.050.458.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100

OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

MinAvgMaxKarbon 70046.052.361.0GM-100057.060.967.0CompuLab Airtop348.055.976.0CompuLab Airtop48.050.558.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100

OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

MinAvgMaxKarbon 70047.048.550.0GM-100058.058.760.0CompuLab Airtop349.050.753.0CompuLab Airtop48.048.750.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor1632486480

OpenSSL

MinAvgMaxGM-100064.072.375.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterOpenSSL 1.1.1System Temperature Monitor20406080100

MinAvgMaxKarbon 70046.063.573.0GM-100058.067.276.0CompuLab Airtop346.071.193.0CompuLab Airtop49.070.176.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenSSL 1.1.1CPU Temperature Monitor20406080100

eSpeak-NG Speech Engine

OpenBenchmarking.orgCelsius, Fewer Is BettereSpeak-NG Speech Engine 20200907System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

MinAvgMaxKarbon 70048.060.765.0GM-100059.068.671.0CompuLab Airtop349.070.777.0CompuLab Airtop50.060.564.0OpenBenchmarking.orgCelsius, Fewer Is BettereSpeak-NG Speech Engine 20200907CPU Temperature Monitor20406080100

SVT-VP9

MinAvgMaxGM-100064.071.275.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1System Temperature Monitor20406080100

MinAvgMaxKarbon 70053.066.376.0GM-100061.068.678.0CompuLab Airtop356.071.988.0CompuLab Airtop61.080.091.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1CPU Temperature Monitor20406080100

MinAvgMaxGM-100064.070.475.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1System Temperature Monitor20406080100

MinAvgMaxKarbon 70054.064.173.0GM-100061.068.677.0CompuLab Airtop356.069.286.0CompuLab Airtop62.079.591.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1CPU Temperature Monitor20406080100

Kvazaar

MinAvgMaxGM-100064.072.375.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System Temperature Monitor20406080100

MinAvgMaxKarbon 70053.066.480.0GM-100061.068.678.0CompuLab Airtop355.073.191.0CompuLab Airtop63.084.892.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100

oneDNN

MinAvgMaxGM-100064.072.075.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

MinAvgMaxKarbon 70052.067.483.0GM-100061.068.478.0CompuLab Airtop356.072.490.0CompuLab Airtop58.080.490.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100

MinAvgMaxGM-100064.072.575.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

MinAvgMaxKarbon 70053.067.180.0GM-100061.068.479.0CompuLab Airtop357.072.091.0CompuLab Airtop58.076.784.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100

MinAvgMaxGM-100064.072.475.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

MinAvgMaxKarbon 70052.065.881.0GM-100061.068.278.0CompuLab Airtop355.072.090.0CompuLab Airtop56.079.790.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100

DaCapo Benchmark

MinAvgMaxGM-100064.068.075.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1System Temperature Monitor20406080100

MinAvgMaxKarbon 70050.058.368.0GM-100060.068.975.0CompuLab Airtop352.066.984.0CompuLab Airtop52.062.972.0OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Temperature Monitor20406080100

LAMMPS Molecular Dynamics Simulator

MinAvgMaxGM-100064.069.375.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020System Temperature Monitor20406080100

MinAvgMaxKarbon 70054.062.272.0GM-100062.068.578.0CompuLab Airtop359.071.191.0CompuLab Airtop59.072.382.0OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020CPU Temperature Monitor20406080100

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 1.2.4Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop5M10M15M20M25MSE +/- 187229.46, N = 9SE +/- 42312.00, N = 3SE +/- 86477.80, N = 3SE +/- 47162.72, N = 45741904208895832126409337166941. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgCelsius, Fewer Is BetterKripke 1.2.4CPU Temperature MonitorKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1530456075Min: 44 / Avg: 50.99 / Max: 61Min: 58 / Avg: 67.81 / Max: 72Min: 43 / Avg: 67.58 / Max: 81Min: 44 / Avg: 47.63 / Max: 75
OpenBenchmarking.orgCelsius, Fewer Is BetterKripke 1.2.4System Temperature MonitorGM-1000CompuLab Airtop3CompuLab Airtop1428425670Min: 64 / Avg: 64.15 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop306090120150SE +/- 10.16, N = 12SE +/- 0.01, N = 3SE +/- 0.23, N = 3SE +/- 1.20, N = 12130.5387.8162.6876.46
OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkCPU Temperature MonitorKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop20406080100Min: 52 / Avg: 64.81 / Max: 74Min: 61 / Avg: 69.22 / Max: 76Min: 53 / Avg: 71.15 / Max: 84Min: 57 / Avg: 74.3 / Max: 94
OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkSystem Temperature MonitorGM-1000CompuLab Airtop3CompuLab Airtop1428425670Min: 64 / Avg: 72.96 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8

Facebook RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop200K400K600K800K1000KSE +/- 11711.73, N = 15SE +/- 7757.34, N = 5SE +/- 7973.52, N = 3SE +/- 673.55, N = 35263586347398717384644591. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
MinAvgMaxKarbon 70051.063.172.0GM-100061.069.176.0CompuLab Airtop351.071.483.0CompuLab Airtop55.073.677.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.475.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6System Temperature Monitor20406080100

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: Vulkan GPU - Model: blazefaceKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop0.54231.08461.62692.16922.7115SE +/- 0.31, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 32.411.040.611.00MIN: 1.77 / MAX: 5.23MIN: 0.94 / MAX: 1.7MIN: 0.6 / MAX: 0.63MIN: 0.99 / MAX: 1.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop3691215SE +/- 0.69, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 39.263.101.483.32MIN: 8.48 / MAX: 11.1MIN: 3 / MAX: 4.16MIN: 1.46 / MAX: 1.51MIN: 3.26 / MAX: 4.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Karbon 700GM-1000CompuLab Airtop3CompuLab Airtop3691215SE +/- 0.55, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 310.102.381.302.59MIN: 7.39 / MAX: 12.25MIN: 2.24 / MAX: 4.75MIN: 1.29 / MAX: 1.36MIN: 2.52 / MAX: 4.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop612182430SE +/- 0.30, N = 3SE +/- 0.96, N = 3SE +/- 0.32, N = 3SE +/- 0.09, N = 322.4023.9915.0020.39MIN: 21.48 / MAX: 24.2MIN: 17.71 / MAX: 26.79MIN: 14.19 / MAX: 15.74MIN: 20.14 / MAX: 21.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop3691215SE +/- 0.00, N = 5SE +/- 0.16, N = 15SE +/- 0.00, N = 5SE +/- 0.01, N = 46.209.918.5211.141. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxKarbon 70044.058.869.0GM-100059.068.576.0CompuLab Airtop342.063.080.0CompuLab Airtop48.064.274.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.075.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0System Temperature Monitor20406080100

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average LatencyKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop306090120150SE +/- 2.36, N = 15SE +/- 0.31, N = 3SE +/- 0.25, N = 3SE +/- 0.13, N = 367.1768.9083.73156.871. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxKarbon 70043.045.449.0GM-100058.059.060.0CompuLab Airtop342.043.746.0CompuLab Airtop48.049.150.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor1632486480
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read WriteKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop160320480640800SE +/- 23.33, N = 15SE +/- 3.31, N = 3SE +/- 1.80, N = 3SE +/- 0.26, N = 37567265973191. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average LatencyKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop0.7471.4942.2412.9883.735SE +/- 0.096, N = 15SE +/- 0.018, N = 3SE +/- 0.125, N = 12SE +/- 0.040, N = 61.1451.9882.3723.3201. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxKarbon 70047.050.055.0GM-100058.058.960.0CompuLab Airtop342.046.955.0CompuLab Airtop49.050.452.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor1632486480
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read WriteKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop2004006008001000SE +/- 59.06, N = 15SE +/- 4.74, N = 3SE +/- 20.79, N = 12SE +/- 3.58, N = 69415034343011. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

LevelDB

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

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek RandomKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop48121620SE +/- 0.156, N = 15SE +/- 0.070, N = 15SE +/- 0.183, N = 15SE +/- 0.024, N = 713.6735.9288.9375.4791. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxKarbon 70048.060.965.0GM-100058.065.071.0CompuLab Airtop350.068.678.0CompuLab Airtop47.057.866.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop3691215SE +/- 0.166, N = 15SE +/- 0.022, N = 8SE +/- 0.090, N = 15SE +/- 0.011, N = 810.2294.7487.6634.1521. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxKarbon 70046.058.163.0GM-100057.063.670.0CompuLab Airtop347.065.377.0CompuLab Airtop47.055.464.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random FillKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1224364860SE +/- 2.43, N = 15SE +/- 0.30, N = 15SE +/- 0.33, N = 15SE +/- 0.06, N = 854.6128.4636.1843.391. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxKarbon 70047.051.261.0GM-100057.060.868.0CompuLab Airtop347.057.277.0CompuLab Airtop47.050.458.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random FillKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1122334455SE +/- 1.18, N = 15SE +/- 0.32, N = 15SE +/- 0.44, N = 15SE +/- 0.03, N = 833.131.149.020.41. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: OverwriteKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1224364860SE +/- 2.50, N = 15SE +/- 0.24, N = 15SE +/- 0.31, N = 15SE +/- 0.10, N = 855.2528.7336.6943.331. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxKarbon 70046.052.361.0GM-100057.060.967.0CompuLab Airtop348.055.976.0CompuLab Airtop48.050.558.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1122334455SE +/- 1.32, N = 15SE +/- 0.26, N = 15SE +/- 0.41, N = 15SE +/- 0.04, N = 832.930.848.320.41. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill SyncKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop2K4K6K8K10KSE +/- 74.53, N = 15SE +/- 8.65, N = 10SE +/- 6.82, N = 6SE +/- 23.53, N = 51309.972260.156472.0610317.681. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxKarbon 70047.048.550.0GM-100058.058.760.0CompuLab Airtop349.050.753.0CompuLab Airtop48.048.750.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor1632486480
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill SyncKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop0.3150.630.9451.261.575SE +/- 0.08, N = 15SE +/- 0.00, N = 10SE +/- 0.00, N = 6SE +/- 0.00, N = 51.40.40.30.11. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenSSL

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

OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop5001000150020002500SE +/- 13.61, N = 15SE +/- 29.90, N = 15SE +/- 21.92, N = 14SE +/- 3.09, N = 31931.61492.72539.91048.41. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
MinAvgMaxKarbon 70046.063.573.0GM-100058.067.276.0CompuLab Airtop346.071.193.0CompuLab Airtop49.070.176.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenSSL 1.1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.375.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterOpenSSL 1.1.1System Temperature Monitor20406080100

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 SynthesisKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop918273645SE +/- 0.46, N = 20SE +/- 0.19, N = 4SE +/- 0.13, N = 4SE +/- 0.36, N = 931.6833.3823.7137.791. (CC) gcc options: -O2 -std=c99
MinAvgMaxKarbon 70048.060.765.0GM-100059.068.671.0CompuLab Airtop349.070.777.0CompuLab Airtop50.060.564.0OpenBenchmarking.orgCelsius, Fewer Is BettereSpeak-NG Speech Engine 20200907CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BettereSpeak-NG Speech Engine 20200907System Temperature MonitorCompuLab AirtopGM-1000CompuLab Airtop3142842567027.864.027.8

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop306090120150SE +/- 0.08, N = 6SE +/- 1.58, N = 15SE +/- 0.95, N = 8SE +/- 0.12, N = 596.1380.06131.8363.991. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
MinAvgMaxKarbon 70053.066.376.0GM-100061.068.678.0CompuLab Airtop356.071.988.0CompuLab Airtop61.080.091.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.275.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1System Temperature Monitor20406080100

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop4080120160200SE +/- 0.71, N = 7SE +/- 1.68, N = 15SE +/- 0.26, N = 8SE +/- 0.88, N = 7112.71107.79169.1280.911. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
MinAvgMaxKarbon 70054.064.173.0GM-100061.068.677.0CompuLab Airtop356.069.286.0CompuLab Airtop62.079.591.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.070.475.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1System Temperature Monitor20406080100

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop20406080100SE +/- 0.80, N = 15SE +/- 0.87, N = 15SE +/- 1.01, N = 7SE +/- 0.02, N = 467.5344.4591.4639.001. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxKarbon 70053.066.480.0GM-100061.068.678.0CompuLab Airtop355.073.191.0CompuLab Airtop63.084.892.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.375.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System Temperature Monitor20406080100

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPUKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop3691215SE +/- 0.14132, N = 12SE +/- 0.15350, N = 13SE +/- 0.06779, N = 4SE +/- 0.06708, N = 36.6180310.809215.0467310.29300MIN: 4.86MIN: 6.79MIN: 4.56MIN: 10.021. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70052.067.483.0GM-100061.068.478.0CompuLab Airtop356.072.490.0CompuLab Airtop58.080.490.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.075.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPUKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop1.26522.53043.79565.06086.326SE +/- 0.03957, N = 15SE +/- 0.10124, N = 15SE +/- 0.00614, N = 4SE +/- 0.01843, N = 42.555644.840051.889895.62321MIN: 1.92MIN: 3.33MIN: 1.55MIN: 5.551. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70053.067.180.0GM-100061.068.479.0CompuLab Airtop357.072.091.0CompuLab Airtop58.076.784.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.575.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPUKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop3691215SE +/- 0.04542, N = 15SE +/- 0.22450, N = 15SE +/- 0.04455, N = 15SE +/- 0.05158, N = 46.273429.533244.497388.64328MIN: 5.45MIN: 6.67MIN: 3.82MIN: 8.211. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70052.065.881.0GM-100061.068.278.0CompuLab Airtop355.072.090.0CompuLab Airtop56.079.790.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.475.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

DaCapo Benchmark

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

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop11002200330044005500SE +/- 92.26, N = 16SE +/- 30.71, N = 5SE +/- 42.33, N = 20SE +/- 64.08, N = 53956362127914944
MinAvgMaxKarbon 70050.058.368.0GM-100060.068.975.0CompuLab Airtop352.066.984.0CompuLab Airtop52.062.972.0OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.075.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1System Temperature Monitor20406080100

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 ProteinKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop246810SE +/- 0.006, N = 8SE +/- 0.047, N = 15SE +/- 0.062, N = 10SE +/- 0.061, N = 155.1164.8706.7862.4881. (CXX) g++ options: -O3 -pthread -lm
MinAvgMaxKarbon 70054.062.272.0GM-100062.068.578.0CompuLab Airtop359.071.191.0CompuLab Airtop59.072.382.0OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.069.375.0CompuLab Airtop327.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020System Temperature Monitor20406080100

IOR

IOR is a parallel I/O storage benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Write TestKarbon 700GM-1000CompuLab Airtop3CompuLab Airtop140280420560700SE +/- 6.43, N = 15SE +/- 32.44, N = 15SE +/- 0.83, N = 13SE +/- 0.19, N = 11652.88461.45253.1777.35MIN: 125.89 / MAX: 1003.71MIN: 18.41 / MAX: 691.92MIN: 74.4 / MAX: 323.5MIN: 37.51 / MAX: 96.261. (CC) gcc options: -O2 -lm -pthread -lmpi

237 Results Shown

NCNN:
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - squeezenet
  Vulkan GPU - googlenet
GLmark2
NCNN:
  Vulkan GPU - efficientnet-b0
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU - mobilenet
IOR
oneDNN
Apache Cassandra
Waifu2x-NCNN Vulkan
RealSR-NCNN
Incompact3D
LevelDB
oneDNN
PostgreSQL pgbench:
  1 - 50 - Read Only
  1 - 50 - Read Only - Average Latency
OpenVKL
oneDNN
LeelaChessZero:
  BLAS
  Eigen
John The Ripper
LevelDB
TensorFlow Lite:
  Inception ResNet V2
  Inception V4
  SqueezeNet
  Mobilenet Float
Facebook RocksDB:
  Read While Writing
  Seq Fill
oneDNN
rays1bench
Facebook RocksDB
BRL-CAD
ASTC Encoder
oneDNN
ASTC Encoder
Numenta Anomaly Benchmark
SVT-AV1
Kvazaar
TensorFlow Lite
NAMD
Numenta Anomaly Benchmark
Kvazaar
Numenta Anomaly Benchmark
Zstd Compression
Numenta Anomaly Benchmark
Timed Linux Kernel Compilation
Kvazaar
YafaRay
Kvazaar
KeyDB
Timed LLVM Compilation
Kvazaar
Intel Open Image Denoise
7-Zip Compression
DaCapo Benchmark
LuxCoreRender
dav1d
LuxCoreRender
dav1d
John The Ripper
oneDNN
Zstd Compression
libavif avifenc:
  0
  2
x265
NCNN
RealSR-NCNN
Facebook RocksDB
NCNN
Waifu2x-NCNN Vulkan
NCNN:
  Vulkan GPU - resnet50
  Vulkan GPU - alexnet
OCRMyPDF
SVT-AV1
x265
TensorFlow Lite
oneDNN:
  Convolution Batch Shapes Auto - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
dav1d
Timed GDB GNU Debugger Compilation
Timed PHP Compilation
AI Benchmark Alpha
Mlpack Benchmark
dav1d
NCNN
oneDNN
High Performance Conjugate Gradient
libavif avifenc
GROMACS
oneDNN
FFTE
oneDNN
Timed Apache Compilation
VP9 libvpx Encoding
libavif avifenc
Monte Carlo Simulations of Ionised Nebulae
Mobile Neural Network
WireGuard + Linux Networking Stack Stress Test
LevelDB
NCNN
PostMark
VP9 libvpx Encoding
NCNN
Hugin
AI Benchmark Alpha
LevelDB
RawTherapee
AI Benchmark Alpha
PyPerformance
NCNN:
  CPU - mobilenet
  CPU - resnet18
PostgreSQL pgbench
NCNN
C-Blosc
ASTC Encoder
PostgreSQL pgbench
Mlpack Benchmark
Numpy Benchmark
NCNN
PyPerformance:
  float
  python_startup
NCNN
DaCapo Benchmark
librsvg
Caffe
PyPerformance
Caffe
PyPerformance
Timed MAFFT Alignment
Mobile Neural Network
Caffe
PyPerformance
Caffe
PyPerformance:
  2to3
  regex_compile
  django_template
Mobile Neural Network
PyPerformance:
  chaos
  go
WebP Image Encode
Java Gradle Build
Tesseract OCR
PyPerformance
Dolfyn
Mlpack Benchmark
WebP Image Encode
RNNoise
BYTE Unix Benchmark
WebP Image Encode
TNN
WebP Image Encode
Git
PyPerformance
GNU Octave Benchmark
WebP Image Encode
Timed HMMer Search
Hierarchical INTegration
TNN
LibRaw
DaCapo Benchmark
System Temperature Monitor:
  Phoronix Test Suite System Monitoring:
    Celsius
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
Kripke
Mlpack Benchmark
Facebook RocksDB
NCNN:
  Vulkan GPU - blazeface
  Vulkan GPU - mnasnet
  Vulkan GPU - shufflenet-v2
  CPU - googlenet
ASTC Encoder
PostgreSQL pgbench:
  1 - 50 - Read Write - Average Latency
  1 - 50 - Read Write
  1 - 1 - Read Write - Average Latency
  1 - 1 - Read Write
LevelDB:
  Seek Rand
  Rand Read
  Rand Fill
  Rand Fill
  Overwrite
  Overwrite
  Fill Sync
  Fill Sync
OpenSSL
eSpeak-NG Speech Engine
SVT-VP9:
  Visual Quality Optimized - Bosphorus 1080p
  PSNR/SSIM Optimized - Bosphorus 1080p
Kvazaar
oneDNN:
  Deconvolution Batch deconv_1d - f32 - CPU
  IP Batch 1D - u8s8f32 - CPU
  IP Batch 1D - f32 - CPU
DaCapo Benchmark
LAMMPS Molecular Dynamics Simulator
IOR

Karbon 700

Processor: Intel Xeon E-2278GEL @ 3.90GHz (8 Cores / 16 Threads), Motherboard: Logic Supply RXM-181 (Z01-0001A027 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 16GB, Disk: 512GB TS512GMTE510T, Graphics: Intel UHD P630 3GB (1150MHz), Audio: Realtek ALC233, Monitor: VA2431, Network: Intel I219-LM + 2 x Intel I210

OS: Ubuntu 20.10, Kernel: 5.8.0-26-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 4.6 Mesa 20.2.1, Vulkan: 1.2.145, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Disk Notes: NONE / errors=remount-ro,relatime,rw
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3
Java Notes: OpenJDK Runtime Environment (build 11.0.9+11-Ubuntu-0ubuntu1)
Python Notes: Python 3.8.6
Security Notes: itlb_multihit: KVM: Mitigation of VMX unsupported + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Mitigation of TSX disabled + tsx_async_abort: Mitigation of TSX disabled

Testing initiated at 30 October 2020 09:43 by user phoronix.

CompuLab Airtop

Processor: Intel Core i7-5775C @ 3.70GHz (4 Cores / 8 Threads), Motherboard: CompuLab v1.0 (ARTP-3.1.0.637.0.0 X64 BIOS), Chipset: Intel Broadwell-U DMI, Memory: 16GB, Disk: 256GB ADATA SP310, Graphics: eVGA NVIDIA GeForce GTX 950 2GB (1151/3304MHz), Audio: Realtek ALC886, Monitor: G237HL, Network: Intel I218-LM + Intel I210 + Intel 7260

OS: Ubuntu 20.10, Kernel: 5.8.0-26-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: NVIDIA 455.28, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.1.96, Vulkan: 1.2.142, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Disk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw
Processor Notes: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x22 - Thermald 2.3
OpenCL Notes: GPU Compute Cores: 768
Java Notes: OpenJDK Runtime Environment (build 11.0.9+11-Ubuntu-0ubuntu1)
Python Notes: Python 3.8.6
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 31 October 2020 21:14 by user phoronix.

CompuLab Airtop3

Processor: Intel Xeon E-2288G @ 5.00GHz (8 Cores / 16 Threads), Motherboard: Compulab SBC-ATCFL v1.2 (ATOP3.PRD.0.29.2 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 64GB, Disk: Samsung SSD 970 EVO Plus 250GB, Graphics: NVIDIA Quadro RTX 4000 8GB (1005/6500MHz), Audio: Intel Cannon Lake PCH cAVS, Monitor: VE228, Network: Intel I219-LM + Intel I210

OS: Ubuntu 20.10, Kernel: 5.8.0-26-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: NVIDIA 455.28, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.1.96, Vulkan: 1.2.142, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Disk Notes: NONE / errors=remount-ro,relatime,rw
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3
OpenCL Notes: GPU Compute Cores: 2304
Java Notes: OpenJDK Runtime Environment (build 11.0.9+11-Ubuntu-0ubuntu1)
Python Notes: Python 3.8.6
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Mitigation of TSX disabled + tsx_async_abort: Mitigation of TSX disabled

Testing initiated at 29 October 2020 17:43 by user phoronix.

GM-1000

Processor: Intel Core i7-9700TE @ 3.80GHz (8 Cores), Motherboard: C OZE GM-1000 v0.0.01.001 (5.13 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 32GB, Disk: CIE M8 T405 512GB, Graphics: NVIDIA Quadro P2000 4GB (1455/3003MHz), Audio: Realtek ALC888-VD, Monitor: DELL S2409W, Network: Intel I219-LM + 2 x Intel 10G X550T + Intel I210

OS: Ubuntu 20.10, Kernel: 5.8.0-25-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: NVIDIA 455.28, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.1.96, Vulkan: 1.2.142, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Disk Notes: NONE / errors=remount-ro,relatime,rw
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3
OpenCL Notes: GPU Compute Cores: 768
Java Notes: OpenJDK Runtime Environment (build 11.0.9+10-post-Ubuntu-0ubuntu1)
Python Notes: Python 3.8.6
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Mitigation of TSX disabled + tsx_async_abort: Mitigation of TSX disabled

Testing initiated at 28 October 2020 06:55 by user phoronix.