GM-1000, Karbon 700, CompuLab Airtop PCs

Tests for a future article by Michael Larabel.

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AV1 3 Tests
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Timed Code Compilation 5 Tests
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CPU Massive 30 Tests
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NVIDIA GPU Compute 7 Tests
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Telephony 2 Tests
Video Encoding 7 Tests
Vulkan Compute 3 Tests
Common Workstation Benchmarks 3 Tests

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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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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

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

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

GM-1000, Karbon 700, CompuLab Airtop PCsProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionGM-1000CompuLab Airtop3Karbon 700CompuLab AirtopIntel Core i7-9700TE @ 3.80GHz (8 Cores)C OZE GM-1000 v0.0.01.001 (5.13 BIOS)Intel Cannon Lake PCH32GBCIE M8 T405 512GBNVIDIA Quadro P2000 4GB (1455/3003MHz)Realtek ALC888-VDDELL S2409WIntel I219-LM + 2 x Intel 10G X550T + Intel I210Ubuntu 20.105.8.0-25-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9NVIDIA 455.284.6.0OpenCL 1.2 CUDA 11.1.961.2.142GCC 10.2.0ext41920x1080Intel Xeon E-2288G @ 5.00GHz (8 Cores / 16 Threads)Compulab SBC-ATCFL v1.2 (ATOP3.PRD.0.29.2 BIOS)64GBSamsung SSD 970 EVO Plus 250GBNVIDIA Quadro RTX 4000 8GB (1005/6500MHz)Intel Cannon Lake PCH cAVSVE228Intel I219-LM + Intel I2105.8.0-26-generic (x86_64)Intel Xeon E-2278GEL @ 3.90GHz (8 Cores / 16 Threads)Logic Supply RXM-181 (Z01-0001A027 BIOS)16GB512GB TS512GMTE510TIntel UHD P630 3GB (1150MHz)Realtek ALC233VA2431Intel I219-LM + 2 x Intel I210modesetting 1.20.94.6 Mesa 20.2.11.2.145Intel 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 11.1.961.2.142OpenBenchmarking.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- GM-1000: NONE / errors=remount-ro,relatime,rw- CompuLab Airtop3: NONE / errors=remount-ro,relatime,rw- Karbon 700: NONE / errors=remount-ro,relatime,rw- CompuLab Airtop: MQ-DEADLINE / errors=remount-ro,relatime,rwProcessor Details- GM-1000: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3- CompuLab Airtop3: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3- Karbon 700: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3- CompuLab Airtop: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x22 - Thermald 2.3OpenCL Details- GM-1000: GPU Compute Cores: 768- CompuLab Airtop3: GPU Compute Cores: 2304- CompuLab Airtop: GPU Compute Cores: 768Java Details- GM-1000: OpenJDK Runtime Environment (build 11.0.9+10-post-Ubuntu-0ubuntu1)- CompuLab Airtop3: OpenJDK Runtime Environment (build 11.0.9+11-Ubuntu-0ubuntu1)- Karbon 700: OpenJDK Runtime Environment (build 11.0.9+11-Ubuntu-0ubuntu1)- CompuLab Airtop: OpenJDK Runtime Environment (build 11.0.9+11-Ubuntu-0ubuntu1)Python Details- Python 3.8.6Security Details- 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 - 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 - 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

GM-1000CompuLab Airtop3Karbon 700CompuLab AirtopLogarithmic 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 TestGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop16.2810.277.8434425.233.393.009.31476.156.69517207323.214276.624706.78615332.567.76541283730.39080.398.8837178475876544.8545441300601118040636927839380873698109112.820319.74246163314313876.985.91239631.6949.5021.44610.382795244.17868300.5445.6297.1353601.726.115212.6489.01374.75423.54458524.511604.0591.993.702411066800.67354.510.75344.07430834670.34123.3190.816110.7376.5333.3337.87534735.8016.86813.228.1739.6080.07431.4232124616.622416.123692.95155.395114.7966403.1476.1783.074.385023.708316.6720.533231.38630890.906674731114.29132.1155.096.28334411.117269.93226.18722.53657819.6547.3375.788137227.20495.48173219.330.3323.562486225.548600.47.930.04064.72322.076.611229.0143.08483324.631442451168942446211.26863.68212614050525531935218652.351.8871172701.759271.42827.10813822.14528.9346.98229.10036200967.72.780362.1308.57260.37228.48.00721.197131.248360309999.31612369.90827.2633392088958387.816347391.043.102.3823.999.9168.8967261.9885035.9284.74828.45931.128.73330.82260.1460.41492.733.37780.06107.7944.4510.809214.840059.5332436214.870461.458.503.633.222.641.661.434.591052.003.313566782081.525378.57991552.827.74572965450.169141.936.65640840765152726.83629461273260697226512153645192337313215665.6421546.114346559610056633.232.56113274.4922.2152.94322.211564961.96010132.85412.0543.0792955.512.45498.50919.02177.73147.21751370.01769.6624.267.534875236921.41644.691.53582.07836454322.59425.799.60959.41212.368.3112.62623441.685.6013.752.1121.6870.13454.9119970817.024816.5236157.4191.59164.68911282.47114.5866.283.964934.090165.0860.819143.88830993.63518867867.690520.9107.774.8052026.581160.38733.73814.23833328.6128.5145.839223633.54560.833110814.319.0015.193355416.2010397.85.530.0342.14420.295.1589.96.8229.06368918.2203930985.9795823398.62844.44410286937620662226413838.942.58185.92001.313196.07320.27110316.67822.4334.79621.58248614938.02.082269.2756.38044.96721.46.48516.022100.192471438878.81023283.96033.3529282126409362.688717380.611.481.315.008.5283.7315972.3724348.9377.66336.18349.036.68748.36472.0620.32539.923.705131.83169.1291.465.046731.889894.4973827916.786253.1765.8727.5823.5452416.4710.198.1726.19517.184.634955012410.7721764.690512.73032640.541.12752266750.22198.397.886713353061122710.18039526604371977298283202055152245910335417.7204831.933153797246.093.62375384.6629.8702.11516.002051262.80992192.6168.6171.5561609.016.805134.66913.81246.29634.69570969.821051.6003.035.273313551721.05450.531.15432.27594105539.07612.5134.32577.8149.00151.46223.462917523.8579.33550.2225.9228.1900.10441.4426200732.003230.8841100.79117.55283.9257453.9487.55118.127.045872.314996.3540.517251.01217775.746492801108.94326.4286.355.9992659.170207.69244.01323.87694422.8743.4958.573143043.65685.42968518.227.5724.172654423.506843.67.230.03860.81334.997.821148.5242.36488122.5645473310911125043412.44562.30814637947929423833217849.359.9831092551.673256.35025.65113121.02527.2543.02527.46338072622.22.647343.2218.13356.44927.18.56919.972131.201371786567.42537369.08627.1232675741904130.535263582.419.2610.1022.406.2067.1687561.14594113.67310.22954.60733.155.25032.91309.9681.41931.631.67596.13112.7167.536.618032.555646.2734239565.116652.8820.0112.358.4837185.703.733.1810.74232.4511.2904201043.292405.7741024.4666319.873.58281119150.44753.7517.536778473762334.1567087053783620754273236703686406655730213.237620.17186250434486972.575.48320597.5051.0131.2909.743551854.44112282.7965.3382.8842511.427.591217.4088.63391.49621.55346852.161666.6061.983.502267378030.67307.340.73277.97399692605.87023.7203.068120.4616.1033.7447.2706246.1719.92714.098.7042.8320.06827.9138831920.398719.580182.58173.464118.9446154.4763.5181.924.323192.710618.9830.466167.47919794.106635888116.97836.0644.528.25933110.775255.81543.79523.75500017.2146.6075.990135144.66399.21973623.027.0624.242109223.056601.68.680.04760.10276.247.0313610.238.90542726.7195759612511534248912.31563.20414721153829427637519655.254.8201212791.823251.68827.89214022.54921.4245.70925.33136078067.22.804292.5858.44959.82928.08.60121.025117.867370080894.79875301.68228.323456371669476.4646445913.322.5920.3911.14156.8663193.3203015.4794.15243.38520.443.32620.410317.6820.11048.437.78663.9980.9139.0010.29305.623218.6432849442.48877.35OpenBenchmarking.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-tinyCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001530456075SE +/- 0.03, N = 3SE +/- 0.28, N = 3SE +/- 0.19, N = 3SE +/- 0.01, N = 320.0165.878.5016.28MIN: 15.5 / MAX: 21.72MIN: 50.88 / MAX: 68.67MIN: 8.02 / MAX: 9.19MIN: 15.64 / MAX: 17.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
MinAvgMaxCompuLab Airtop55.058.869.0Karbon 70050.058.165.0CompuLab Airtop352.069.480.0GM-100059.066.870.0OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20200916CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20200916System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000612182430SE +/- 0.02, N = 3SE +/- 0.17, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 312.3527.583.6310.27MIN: 11.58 / MAX: 15.04MIN: 27.17 / MAX: 31.88MIN: 3.57 / MAX: 3.76MIN: 9.98 / MAX: 10.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000612182430SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 38.4823.543.227.84MIN: 8.04 / MAX: 10.85MIN: 23.24 / MAX: 23.83MIN: 3.2 / MAX: 3.32MIN: 7.62 / MAX: 10.981. (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 1080CompuLab AirtopKarbon 700GM-1000800160024003200400037185243442
MinAvgMaxCompuLab Airtop46.056.459.0Karbon 70044.050.753.0CompuLab Airtop334.035.538.0GM-100055.069.472.0OpenBenchmarking.orgCelsius, Fewer Is BetterGLmark2 2020.04CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterGLmark2 2020.04System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3153045607527.827.827.8

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-b0CompuLab AirtopKarbon 700CompuLab Airtop3GM-100048121620SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 35.7016.472.645.23MIN: 5.57 / MAX: 6.86MIN: 16.27 / MAX: 16.89MIN: 2.61 / MAX: 2.67MIN: 5.06 / MAX: 5.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3CompuLab AirtopKarbon 700CompuLab Airtop3GM-10003691215SE +/- 0.00, N = 3SE +/- 0.22, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 33.7310.191.663.39MIN: 3.65 / MAX: 4.87MIN: 9.74 / MAX: 10.79MIN: 1.65 / MAX: 1.69MIN: 3.29 / MAX: 4.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2CompuLab AirtopKarbon 700CompuLab Airtop3GM-1000246810SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 33.188.171.433.00MIN: 3.11 / MAX: 4.26MIN: 7.83 / MAX: 8.44MIN: 1.4 / MAX: 9.39MIN: 2.89 / MAX: 3.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000612182430SE +/- 0.01, N = 3SE +/- 0.29, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 310.7426.194.599.31MIN: 9.23 / MAX: 12.04MIN: 23.7 / MAX: 35.85MIN: 4.54 / MAX: 12.63MIN: 9 / MAX: 10.281. (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 TestCompuLab AirtopKarbon 700CompuLab Airtop3GM-10002004006008001000SE +/- 0.82, N = 11SE +/- 0.53, N = 15SE +/- 4.11, N = 13SE +/- 4.42, N = 15232.45517.181052.00476.15MIN: 207.97 / MAX: 242.21MIN: 142.77 / MAX: 594.11MIN: 53.05 / MAX: 1439MIN: 10.65 / MAX: 548.821. (CC) gcc options: -O2 -lm -pthread -lmpi
MinAvgMaxKarbon 70038.038.439.0CompuLab Airtop344.045.349.0GM-100049.049.751.0OpenBenchmarking.orgCelsius, Fewer Is BetterIOR 3.2.1CPU Temperature Monitor1530456075
OpenBenchmarking.orgCelsius, Fewer Is BetterIOR 3.2.1System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3122436486027.827.827.8

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: CPUCompuLab AirtopKarbon 700CompuLab Airtop3GM-10003691215SE +/- 0.00833, N = 9SE +/- 0.00916, N = 9SE +/- 0.02023, N = 9SE +/- 0.01402, N = 911.290404.634953.313566.69517MIN: 11.22MIN: 4.53MIN: 3.15MIN: 6.491. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxCompuLab Airtop57.067.279.0Karbon 70053.063.576.0CompuLab Airtop354.069.388.0GM-100061.068.177.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.475.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: WritesCompuLab AirtopKarbon 700CompuLab Airtop3GM-100015K30K45K60K75KSE +/- 299.90, N = 4SE +/- 581.94, N = 6SE +/- 744.79, N = 3SE +/- 177.03, N = 1520104501246782020732
MinAvgMaxCompuLab Airtop52.069.378.0Karbon 70047.062.272.0CompuLab Airtop347.066.481.0GM-100059.068.277.0OpenBenchmarking.orgCelsius, Fewer Is BetterApache Cassandra 3.11.4CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterApache Cassandra 3.11.4System Temperature MonitorGM-1000Karbon 700CompuLab Airtop31428425670Min: 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: NoCompuLab AirtopKarbon 700GM-10003691215SE +/- 0.030, N = 10SE +/- 0.003, N = 5SE +/- 0.007, N = 93.29210.7723.214
MinAvgMaxCompuLab Airtop46.046.956.0Karbon 70044.052.057.0GM-100055.056.063.0OpenBenchmarking.orgCelsius, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818CPU Temperature Monitor20406080100
MinAvgMaxGM-100054.062.565.0Karbon 70027.827.827.8OpenBenchmarking.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: YesCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000400800120016002000SE +/- 6.42, N = 9SE +/- 0.20, N = 3SE +/- 0.44, N = 3SE +/- 0.07, N = 3405.771764.6981.53276.62
OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818CPU Temperature MonitorCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001326395265Min: 41 / Avg: 44.38 / Max: 56Min: 41 / Avg: 54.25 / Max: 58Min: 38 / Avg: 40.16 / Max: 59Min: 50 / Avg: 52.49 / Max: 64
OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818System Temperature MonitorGM-1000Karbon 700CompuLab Airtop31326395265Min: 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: CylinderCompuLab AirtopKarbon 700CompuLab Airtop3GM-10002004006008001000SE +/- 4.69, N = 3SE +/- 1.81, N = 3SE +/- 1.24, N = 3SE +/- 1.81, N = 31024.47512.73378.58706.791. (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 MonitorCompuLab AirtopKarbon 700CompuLab Airtop3GM-100020406080100Min: 55 / Avg: 83.32 / Max: 87Min: 49 / Avg: 67.53 / Max: 76Min: 51 / Avg: 76.24 / Max: 88Min: 59 / Avg: 68.96 / Max: 78
OpenBenchmarking.orgCelsius, Fewer Is BetterIncompact3D 2020-09-17System Temperature MonitorGM-1000Karbon 700CompuLab Airtop31428425670Min: 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 FillCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001224364860SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.78, N = 3SE +/- 0.41, N = 519.840.552.832.51. (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: CPUCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001632486480SE +/- 0.24, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.33, N = 373.5841.1327.7567.77MIN: 72.88MIN: 35.58MIN: 25.65MIN: 59.541. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxCompuLab Airtop58.080.385.0Karbon 70053.067.676.0CompuLab Airtop356.075.188.0GM-100061.068.677.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.175.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 OnlyCompuLab AirtopKarbon 700CompuLab Airtop3GM-100060K120K180K240K300KSE +/- 1589.17, N = 3SE +/- 470.82, N = 3SE +/- 2332.06, N = 3SE +/- 1251.67, N = 151119152266752965451283731. (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 LatencyCompuLab AirtopKarbon 700CompuLab Airtop3GM-10000.10060.20120.30180.40240.503SE +/- 0.006, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 150.4470.2210.1690.3901. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxCompuLab Airtop48.058.969.0Karbon 70046.057.167.0CompuLab Airtop342.058.977.0GM-100057.065.274.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.064.175.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: vklBenchmarkCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000306090120150SE +/- 0.05, N = 3SE +/- 0.29, N = 3SE +/- 0.98, N = 3SE +/- 0.39, N = 353.7598.39141.9380.39MIN: 1 / MAX: 212MIN: 1 / MAX: 378MIN: 1 / MAX: 580MIN: 1 / MAX: 345
MinAvgMaxCompuLab Airtop58.075.088.0Karbon 70054.068.179.0CompuLab Airtop356.080.295.0GM-100061.072.278.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9System Temperature MonitorGM-1000Karbon 700CompuLab Airtop31428425670Min: 64 / Avg: 74.23 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8

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: f32 - Engine: CPUCompuLab AirtopKarbon 700CompuLab Airtop3GM-100048121620SE +/- 0.04063, N = 9SE +/- 0.02235, N = 9SE +/- 0.02344, N = 9SE +/- 0.08092, N = 1517.536707.886716.656408.88371MIN: 17.19MIN: 7.8MIN: 6.4MIN: 8.111. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxCompuLab Airtop58.069.285.0Karbon 70053.066.280.0CompuLab Airtop356.069.387.0GM-100061.067.977.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.675.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: BLASCompuLab AirtopKarbon 700CompuLab Airtop3GM-10002004006008001000SE +/- 10.93, N = 3SE +/- 8.54, N = 3SE +/- 6.44, N = 37843358407841. (CXX) g++ options: -flto -pthread
MinAvgMaxCompuLab Airtop58.088.596.0Karbon 70050.066.074.0CompuLab Airtop356.075.691.0GM-100062.070.578.0OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.26CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.975.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.26System Temperature Monitor20406080100

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000160320480640800SE +/- 3.38, N = 3SE +/- 4.33, N = 3SE +/- 7.36, N = 3SE +/- 2.52, N = 37373067657581. (CXX) g++ options: -flto -pthread
MinAvgMaxCompuLab Airtop64.090.296.0Karbon 70054.067.975.0CompuLab Airtop360.077.896.0GM-100063.071.379.0OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.26CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.975.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: BlowfishCompuLab AirtopKarbon 700CompuLab Airtop3GM-10003K6K9K12K15KSE +/- 103.18, N = 10SE +/- 227.62, N = 4SE +/- 60.95, N = 13623311227152727654-lbz21. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt
MinAvgMaxCompuLab Airtop52.073.778.0Karbon 70048.064.774.0CompuLab Airtop350.072.988.0GM-100060.068.276.0OpenBenchmarking.orgCelsius, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.375.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 ReadCompuLab AirtopKarbon 700CompuLab Airtop3GM-10003691215SE +/- 0.008, N = 8SE +/- 0.133, N = 5SE +/- 0.037, N = 6SE +/- 0.045, N = 154.15610.1806.8364.8541. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxCompuLab Airtop50.058.667.0Karbon 70050.060.467.0CompuLab Airtop353.069.782.0GM-100059.066.372.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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 V2CompuLab AirtopKarbon 700CompuLab Airtop3GM-10001.5M3M4.5M6M7.5MSE +/- 615.40, N = 3SE +/- 17665.88, N = 3SE +/- 1078.35, N = 3SE +/- 40177.63, N = 37087053395266029461275441300
MinAvgMaxCompuLab Airtop60.085.788.0Karbon 70054.069.776.0CompuLab Airtop357.077.595.0GM-100061.069.278.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.775.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System Temperature Monitor20406080100

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4CompuLab AirtopKarbon 700CompuLab Airtop3GM-10002M4M6M8M10MSE +/- 604.55, N = 3SE +/- 20514.24, N = 3SE +/- 1363.50, N = 3SE +/- 34182.46, N = 37836207437197732606976011180
MinAvgMaxCompuLab Airtop61.086.788.0Karbon 70053.069.276.0CompuLab Airtop357.077.596.0GM-100061.069.077.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.775.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System Temperature Monitor20406080100

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000120K240K360K480K600KSE +/- 9.24, N = 3SE +/- 3356.24, N = 3SE +/- 69.61, N = 3SE +/- 5447.42, N = 4542732298283226512406369
MinAvgMaxCompuLab Airtop62.086.188.0Karbon 70053.068.575.0CompuLab Airtop357.076.693.0GM-100060.068.978.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System Temperature Monitor20406080100

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatCompuLab AirtopKarbon 700CompuLab Airtop3GM-100080K160K240K320K400KSE +/- 22.91, N = 3SE +/- 2261.01, N = 3SE +/- 175.70, N = 3SE +/- 4495.68, N = 3367036202055153645278393
MinAvgMaxCompuLab Airtop61.084.987.0Karbon 70054.069.777.0CompuLab Airtop357.076.894.0GM-100061.069.278.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 WritingCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000400K800K1200K1600K2000KSE +/- 1361.04, N = 3SE +/- 15797.71, N = 3SE +/- 19030.80, N = 9SE +/- 8029.23, N = 8864066152245919233738087361. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
MinAvgMaxCompuLab Airtop52.076.380.0Karbon 70048.064.172.0CompuLab Airtop345.069.986.0GM-100055.065.774.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
MinAvgMaxGM-100054.066.075.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6System Temperature Monitor20406080100

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Sequential FillCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000300K600K900K1200K1500KSE +/- 2320.66, N = 4SE +/- 13395.98, N = 5SE +/- 12373.00, N = 15SE +/- 13114.25, N = 15557302103354113215669810911. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
MinAvgMaxCompuLab Airtop58.072.578.0Karbon 70052.064.972.0CompuLab Airtop354.072.484.0GM-100062.068.877.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.176.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: CPUCompuLab AirtopKarbon 700CompuLab Airtop3GM-10003691215SE +/- 0.09759, N = 3SE +/- 0.11012, N = 12SE +/- 0.02496, N = 3SE +/- 0.13560, N = 1213.237607.720485.6421512.82030MIN: 12.92MIN: 6.41MIN: 4.78MIN: 8.951. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxCompuLab Airtop57.077.384.0Karbon 70052.067.681.0CompuLab Airtop355.070.591.0GM-100061.068.879.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.076.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 SceneCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001020304050SE +/- 0.01, N = 3SE +/- 0.30, N = 13SE +/- 0.09, N = 3SE +/- 0.19, N = 320.1731.9346.1119.74
MinAvgMaxCompuLab Airtop64.087.394.0Karbon 70056.069.787.0CompuLab Airtop359.073.793.0GM-100061.069.378.0OpenBenchmarking.orgCelsius, Fewer Is Betterrays1bench 2020-01-09CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.475.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 ReadCompuLab AirtopKarbon 700CompuLab Airtop3GM-10009M18M27M36M45MSE +/- 86603.84, N = 3SE +/- 368380.75, N = 3SE +/- 49809.36, N = 3SE +/- 338773.40, N = 4186250433153797243465596246163311. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
MinAvgMaxCompuLab Airtop56.082.787.0Karbon 70052.067.179.0CompuLab Airtop353.073.091.0GM-100062.069.380.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.375.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 MetricCompuLab AirtopCompuLab Airtop3GM-100020K40K60K80K100K44869100566431381. (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
MinAvgMaxCompuLab Airtop44.079.587.0CompuLab Airtop356.075.288.0GM-100062.069.180.0OpenBenchmarking.orgCelsius, Fewer Is BetterBRL-CAD 7.30.8CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.975.0CompuLab Airtop327.827.827.8OpenBenchmarking.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: ThoroughCompuLab AirtopKarbon 700CompuLab Airtop3GM-100020406080100SE +/- 0.01, N = 3SE +/- 0.72, N = 3SE +/- 0.49, N = 3SE +/- 1.07, N = 372.5746.0933.2376.981. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxCompuLab Airtop49.075.180.0Karbon 70045.061.172.0CompuLab Airtop344.066.882.0GM-100059.067.976.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: CPUCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001.33032.66063.99095.32126.6515SE +/- 0.02910, N = 4SE +/- 0.03701, N = 15SE +/- 0.00686, N = 4SE +/- 0.05068, N = 155.483203.623752.561135.91239MIN: 5.23MIN: 2.86MIN: 2.22MIN: 4.171. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxCompuLab Airtop60.079.790.0Karbon 70053.067.983.0CompuLab Airtop356.072.294.0GM-100061.068.979.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.275.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: ExhaustiveCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000140280420560700SE +/- 4.46, N = 3SE +/- 0.17, N = 3SE +/- 0.82, N = 3SE +/- 0.59, N = 3597.50384.66274.49631.691. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature MonitorCompuLab AirtopKarbon 700CompuLab Airtop3GM-100020406080100Min: 53 / Avg: 87.42 / Max: 92Min: 47 / Avg: 64.45 / Max: 77Min: 47 / Avg: 71.52 / Max: 90Min: 60 / Avg: 68.49 / Max: 77
OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0System Temperature MonitorGM-1000Karbon 700CompuLab Airtop31428425670Min: 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 EntropyCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001224364860SE +/- 0.69, N = 4SE +/- 0.27, N = 15SE +/- 0.19, N = 15SE +/- 0.44, N = 1251.0129.8722.2249.50
MinAvgMaxCompuLab Airtop46.067.874.0Karbon 70043.061.072.0CompuLab Airtop340.066.082.0GM-100057.067.376.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.575.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: 1080pCompuLab AirtopKarbon 700CompuLab Airtop3GM-10000.66221.32441.98662.64883.311SE +/- 0.002, N = 3SE +/- 0.028, N = 3SE +/- 0.013, N = 3SE +/- 0.025, N = 31.2902.1152.9431.4461. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
MinAvgMaxCompuLab Airtop61.086.392.0Karbon 70053.067.679.0CompuLab Airtop357.072.990.0GM-100061.069.380.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.075.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 FastCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000510152025SE +/- 0.00, N = 3SE +/- 0.24, N = 4SE +/- 0.12, N = 3SE +/- 0.15, N = 49.7416.0022.2110.381. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxCompuLab Airtop63.088.992.0Karbon 70052.066.279.0CompuLab Airtop355.073.190.0GM-100061.068.278.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 QuantCompuLab AirtopKarbon 700CompuLab Airtop3GM-100080K160K240K320K400KSE +/- 116.90, N = 3SE +/- 2286.50, N = 3SE +/- 67.72, N = 3SE +/- 4770.18, N = 3355185205126156496279524
MinAvgMaxCompuLab Airtop61.084.287.0Karbon 70054.069.876.0CompuLab Airtop357.076.993.0GM-100061.069.378.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 AtomsCompuLab AirtopKarbon 700CompuLab Airtop3GM-10000.99931.99862.99793.99724.9965SE +/- 0.00395, N = 3SE +/- 0.00379, N = 3SE +/- 0.00439, N = 3SE +/- 0.00286, N = 34.441122.809921.960104.17868
MinAvgMaxCompuLab Airtop65.088.996.0Karbon 70055.069.579.0CompuLab Airtop361.079.4100.0GM-100063.071.382.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD 2.14CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.975.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 SkylineCompuLab AirtopKarbon 700CompuLab Airtop3GM-100070140210280350SE +/- 1.98, N = 3SE +/- 1.51, N = 3SE +/- 2.03, N = 3SE +/- 4.34, N = 3282.80192.62132.85300.54
MinAvgMaxCompuLab Airtop51.081.788.0Karbon 70049.065.275.0CompuLab Airtop350.071.988.0GM-100059.069.677.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.875.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 FastCompuLab AirtopKarbon 700CompuLab Airtop3GM-10003691215SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 35.338.6112.055.621. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxCompuLab Airtop62.089.692.0Karbon 70052.065.779.0CompuLab Airtop354.073.791.0GM-100060.068.178.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.675.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 ChangepointCompuLab AirtopKarbon 700CompuLab Airtop3GM-100020406080100SE +/- 0.85, N = 3SE +/- 0.22, N = 3SE +/- 0.49, N = 15SE +/- 1.25, N = 382.8871.5643.0897.14
MinAvgMaxCompuLab Airtop60.084.789.0Karbon 70051.066.274.0CompuLab Airtop354.075.899.0GM-100060.069.978.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.475.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: 3CompuLab AirtopKarbon 700CompuLab Airtop3GM-10008001600240032004000SE +/- 2.72, N = 3SE +/- 3.71, N = 3SE +/- 2.03, N = 3SE +/- 4.91, N = 32511.41609.02955.53601.71. (CC) gcc options: -O3 -pthread -lz -llzma
MinAvgMaxCompuLab Airtop47.057.366.0Karbon 70045.054.157.0CompuLab Airtop344.059.872.0GM-100057.066.473.0OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.4.5CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.4.5System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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 GaussianCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000612182430SE +/- 0.39, N = 4SE +/- 0.20, N = 15SE +/- 0.15, N = 5SE +/- 0.28, N = 1427.5916.8112.4526.12
MinAvgMaxCompuLab Airtop50.071.078.0Karbon 70048.062.874.0CompuLab Airtop349.070.487.0GM-100059.068.077.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.975.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 CompileCompuLab AirtopKarbon 700CompuLab Airtop3GM-100050100150200250SE +/- 0.72, N = 3SE +/- 0.65, N = 3SE +/- 0.13, N = 3SE +/- 0.47, N = 3217.41134.6798.51212.65
MinAvgMaxCompuLab Airtop58.085.090.0Karbon 70053.067.076.0CompuLab Airtop354.073.888.0GM-100061.068.376.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Linux Kernel Compilation 5.4CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.475.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: MediumCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000510152025SE +/- 0.00, N = 3SE +/- 0.23, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 38.6313.8119.029.011. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxCompuLab Airtop62.088.992.0Karbon 70051.065.478.0CompuLab Airtop354.072.890.0GM-100060.068.078.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.375.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 SceneCompuLab AirtopKarbon 700CompuLab Airtop3GM-100080160240320400SE +/- 0.14, N = 3SE +/- 0.75, N = 3SE +/- 0.40, N = 3SE +/- 2.21, N = 3391.50246.30177.73374.751. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
MinAvgMaxCompuLab Airtop62.089.492.0Karbon 70055.070.380.0CompuLab Airtop358.077.294.0GM-100062.069.179.0OpenBenchmarking.orgCelsius, Fewer Is BetterYafaRay 3.4.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.975.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 FastCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001122334455SE +/- 0.01, N = 3SE +/- 0.34, N = 14SE +/- 0.46, N = 4SE +/- 0.24, N = 1421.5534.6947.2123.541. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxCompuLab Airtop63.087.192.0Karbon 70052.066.679.0CompuLab Airtop355.072.590.0GM-100061.068.278.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.375.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 6.0.16CompuLab AirtopKarbon 700CompuLab Airtop3GM-1000160K320K480K640K800KSE +/- 4325.50, N = 3SE +/- 6113.88, N = 3SE +/- 4773.08, N = 3SE +/- 3781.40, N = 3346852.16570969.82751370.01458524.511. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
MinAvgMaxCompuLab Airtop46.065.773.0Karbon 70048.061.470.0CompuLab Airtop350.068.682.0GM-100058.065.373.0OpenBenchmarking.orgCelsius, Fewer Is BetterKeyDB 6.0.16CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterKeyDB 6.0.16System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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 CompileCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000400800120016002000SE +/- 9.03, N = 3SE +/- 0.57, N = 3SE +/- 4.62, N = 3SE +/- 1.30, N = 31666.611051.60769.661604.06
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 10.0CPU Temperature MonitorCompuLab AirtopKarbon 700CompuLab Airtop3GM-100020406080100Min: 62 / Avg: 88.67 / Max: 92Min: 54 / Avg: 69.36 / Max: 78Min: 56 / Avg: 77.27 / Max: 91Min: 61 / Avg: 69.21 / Max: 78
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 10.0System Temperature MonitorGM-1000Karbon 700CompuLab Airtop31428425670Min: 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: MediumCompuLab AirtopKarbon 700CompuLab Airtop3GM-10000.95851.9172.87553.8344.7925SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 31.983.034.261.991. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxCompuLab Airtop48.085.092.0Karbon 70047.063.777.0CompuLab Airtop347.070.890.0GM-100059.067.577.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.575.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: MemorialCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000246810SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 63.505.277.533.70
MinAvgMaxCompuLab Airtop60.088.393.0Karbon 70054.067.179.0CompuLab Airtop357.073.889.0GM-100061.068.677.0OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 TestCompuLab AirtopKarbon 700CompuLab Airtop3GM-100010K20K30K40K50KSE +/- 77.43, N = 3SE +/- 59.48, N = 3SE +/- 370.06, N = 3SE +/- 339.20, N = 4226733313548752241101. (CXX) g++ options: -pipe -lpthread
MinAvgMaxCompuLab Airtop60.080.385.0Karbon 70054.068.275.0CompuLab Airtop357.075.893.0GM-100061.069.276.0OpenBenchmarking.orgCelsius, Fewer Is Better7-Zip Compression 16.02CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.775.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: TradesoapCompuLab AirtopKarbon 700CompuLab Airtop3GM-10002K4K6K8K10KSE +/- 48.38, N = 4SE +/- 43.34, N = 4SE +/- 30.62, N = 13SE +/- 85.52, N = 207803517236926680
MinAvgMaxCompuLab Airtop51.065.874.0Karbon 70048.060.469.0CompuLab Airtop349.068.383.0GM-100059.068.676.0OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.069.575.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: DLSCCompuLab AirtopKarbon 700CompuLab Airtop3GM-10000.31730.63460.95191.26921.5865SE +/- 0.00, N = 3SE +/- 0.01, N = 9SE +/- 0.02, N = 3SE +/- 0.01, N = 150.671.051.410.67MIN: 0.65 / MAX: 0.68MIN: 0.95 / MAX: 1.29MIN: 1.31 / MAX: 1.69MIN: 0.59 / MAX: 0.97
MinAvgMaxCompuLab Airtop56.083.287.0Karbon 70052.066.777.0CompuLab Airtop358.074.591.0GM-100061.068.377.0OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender 2.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.075.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 1080pCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000140280420560700SE +/- 1.02, N = 3SE +/- 1.11, N = 3SE +/- 2.55, N = 3SE +/- 2.32, N = 3307.34450.53644.69354.51MIN: 221.1 / MAX: 501.29MIN: 341.02 / MAX: 685.68MIN: 479.82 / MAX: 947.65MIN: 226.96 / MAX: 562.81. (CC) gcc options: -pthread
OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0CPU Temperature MonitorCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001632486480Min: 50 / Avg: 61.85 / Max: 84Min: 50 / Avg: 61.32 / Max: 74Min: 49 / Avg: 69.57 / Max: 87Min: 61 / Avg: 69.66 / Max: 76
OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0System Temperature MonitorGM-1000Karbon 700CompuLab Airtop31428425670Min: 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 PrismCompuLab AirtopKarbon 700CompuLab Airtop3GM-10000.34430.68861.03291.37721.7215SE +/- 0.00, N = 3SE +/- 0.02, N = 4SE +/- 0.01, N = 3SE +/- 0.01, N = 120.731.151.530.75MIN: 0.7 / MAX: 0.8MIN: 1.06 / MAX: 1.42MIN: 1.48 / MAX: 1.81MIN: 0.65 / MAX: 1.15
MinAvgMaxCompuLab Airtop59.086.890.0Karbon 70053.067.980.0CompuLab Airtop357.075.291.0GM-100061.068.578.0OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender 2.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.075.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 1080pCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000130260390520650SE +/- 1.58, N = 3SE +/- 1.38, N = 3SE +/- 1.68, N = 3SE +/- 0.50, N = 3277.97432.27582.07344.07MIN: 249.54 / MAX: 307.95MIN: 364.27 / MAX: 468.57MIN: 481.99 / MAX: 638.3MIN: 298.25 / MAX: 380.671. (CC) gcc options: -pthread
MinAvgMaxCompuLab Airtop50.062.374.0Karbon 70049.060.668.0CompuLab Airtop349.069.280.0GM-100059.069.475.0OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.175.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: MD5CompuLab AirtopKarbon 700CompuLab Airtop3GM-1000200K400K600K800K1000KSE +/- 115.39, N = 3SE +/- 6589.74, N = 7SE +/- 10984.38, N = 4SE +/- 3391.63, N = 15399692594105836454430834-lbz21. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt
MinAvgMaxCompuLab Airtop53.083.488.0Karbon 70050.065.378.0CompuLab Airtop352.072.589.0GM-100060.068.178.0OpenBenchmarking.orgCelsius, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: CPUCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000140280420560700SE +/- 6.00, N = 9SE +/- 2.70, N = 3SE +/- 2.57, N = 3SE +/- 8.43, N = 3605.87539.08322.59670.34MIN: 563.77MIN: 524.69MIN: 310.92MIN: 612.851. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxCompuLab Airtop56.084.494.0Karbon 70053.067.682.0CompuLab Airtop355.073.388.0GM-100061.068.677.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.875.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: 19CompuLab AirtopKarbon 700CompuLab Airtop3GM-1000612182430SE +/- 0.23, N = 3SE +/- 0.00, N = 3SE +/- 0.09, N = 3SE +/- 0.25, N = 323.712.525.723.31. (CC) gcc options: -O3 -pthread -lz -llzma
MinAvgMaxCompuLab Airtop48.062.668.0Karbon 70046.057.462.0CompuLab Airtop345.064.874.0GM-100058.067.172.0OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.4.5CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.4.5System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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: 0CompuLab AirtopKarbon 700CompuLab Airtop3GM-10004080120160200SE +/- 0.73, N = 3SE +/- 0.22, N = 3SE +/- 0.27, N = 3SE +/- 0.11, N = 3203.07134.3399.61190.821. (CXX) g++ options: -O3 -fPIC
MinAvgMaxCompuLab Airtop60.086.391.0Karbon 70054.068.881.0CompuLab Airtop357.077.994.0GM-100061.069.578.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.675.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3System Temperature Monitor20406080100

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2CompuLab AirtopKarbon 700CompuLab Airtop3GM-1000306090120150SE +/- 0.45, N = 3SE +/- 0.57, N = 3SE +/- 0.11, N = 3SE +/- 1.76, N = 3120.4677.8159.41110.741. (CXX) g++ options: -O3 -fPIC
MinAvgMaxCompuLab Airtop60.086.492.0Karbon 70053.069.081.0CompuLab Airtop356.076.794.0GM-100061.069.478.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.375.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 4KCompuLab AirtopKarbon 700CompuLab Airtop3GM-10003691215SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 36.109.0012.366.531. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxCompuLab Airtop59.084.290.0Karbon 70053.068.777.0CompuLab Airtop356.076.791.0GM-100061.069.680.0OpenBenchmarking.orgCelsius, Fewer Is Betterx265 3.4CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.575.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: vgg16CompuLab AirtopKarbon 700CompuLab Airtop3GM-1000306090120150SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 333.74151.468.3133.33MIN: 33.2 / MAX: 36.35MIN: 150.54 / MAX: 152.37MIN: 32.53 / MAX: 40.221. (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: NoCompuLab AirtopKarbon 700CompuLab Airtop3GM-100050100150200250SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 4SE +/- 0.02, N = 347.27223.4612.6337.88
MinAvgMaxCompuLab Airtop41.041.651.0Karbon 70039.050.353.0CompuLab Airtop342.045.063.0GM-100050.051.060.0OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3122436486027.827.827.8

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 SyncCompuLab AirtopKarbon 700CompuLab Airtop3GM-10002K4K6K8K10KSE +/- 4.93, N = 3SE +/- 68.24, N = 3SE +/- 4.06, N = 3SE +/- 40.71, N = 156249175234434731. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
MinAvgMaxCompuLab Airtop52.054.058.0Karbon 70049.050.654.0CompuLab Airtop346.049.955.0GM-100055.057.662.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.064.765.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: resnet18CompuLab AirtopKarbon 700CompuLab Airtop3GM-1000612182430SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 36.1723.851.685.80MIN: 6.05 / MAX: 7.99MIN: 23.55 / MAX: 24.04MIN: 5.62 / MAX: 13.861. (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: YesCompuLab AirtopKarbon 700CompuLab Airtop3GM-100020406080100SE +/- 0.167, N = 3SE +/- 0.027, N = 3SE +/- 0.012, N = 7SE +/- 0.010, N = 319.92779.3355.60116.868
MinAvgMaxCompuLab Airtop45.046.555.0Karbon 70043.054.457.0CompuLab Airtop337.039.353.0GM-100055.055.556.0OpenBenchmarking.orgCelsius, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818CPU Temperature Monitor1632486480
OpenBenchmarking.orgCelsius, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3153045607527.827.827.8

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: resnet50CompuLab AirtopKarbon 700CompuLab Airtop3GM-10001122334455SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 314.0950.223.7513.22MIN: 13.67 / MAX: 16.54MIN: 49.9 / MAX: 50.44MIN: 12.84 / MAX: 29.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000612182430SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 38.7025.922.118.17MIN: 8.52 / MAX: 10.86MIN: 25.54 / MAX: 26.26MIN: 7.83 / MAX: 8.811. (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 DocumentCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001020304050SE +/- 0.31, N = 3SE +/- 0.34, N = 6SE +/- 0.07, N = 3SE +/- 0.48, N = 642.8328.1921.6939.61
MinAvgMaxCompuLab Airtop59.082.489.0Karbon 70051.068.079.0CompuLab Airtop354.075.691.0GM-100061.070.679.0OpenBenchmarking.orgCelsius, Fewer Is BetterOCRMyPDF 10.3.1+dfsgCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.775.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: 1080pCompuLab AirtopKarbon 700CompuLab Airtop3GM-10000.03020.06040.09060.12080.151SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.0680.1040.1340.0741. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
MinAvgMaxCompuLab Airtop63.085.692.0Karbon 70053.070.777.0CompuLab Airtop355.081.495.0GM-100061.071.279.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.775.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 1080pCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001224364860SE +/- 0.09, N = 3SE +/- 0.41, N = 8SE +/- 0.30, N = 5SE +/- 0.37, N = 1327.9141.4454.9131.421. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxCompuLab Airtop60.081.889.0Karbon 70053.068.377.0CompuLab Airtop356.074.590.0GM-100061.069.078.0OpenBenchmarking.orgCelsius, Fewer Is Betterx265 3.4CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.076.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 MobileCompuLab AirtopKarbon 700CompuLab Airtop3GM-100080K160K240K320K400KSE +/- 14.01, N = 3SE +/- 2829.30, N = 3SE +/- 758.89, N = 3SE +/- 4505.57, N = 4388319262007199708321246
MinAvgMaxCompuLab Airtop61.085.288.0Karbon 70054.069.178.0CompuLab Airtop357.076.791.0GM-100061.069.278.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: CPUCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000714212835SE +/- 0.02, N = 6SE +/- 0.03, N = 6SE +/- 0.02, N = 7SE +/- 0.05, N = 720.4032.0017.0216.62MIN: 20.06MIN: 31.82MIN: 16.91MIN: 16.361. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxCompuLab Airtop58.073.788.0Karbon 70053.060.568.0CompuLab Airtop357.069.278.0GM-100061.068.576.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.975.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000714212835SE +/- 0.05, N = 6SE +/- 0.01, N = 6SE +/- 0.05, N = 7SE +/- 0.02, N = 619.5830.8816.5216.12MIN: 17.98MIN: 30.58MIN: 16.37MIN: 15.91. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxCompuLab Airtop57.070.480.0Karbon 70054.059.664.0CompuLab Airtop355.066.874.0GM-100061.068.174.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.475.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 4KCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000306090120150SE +/- 0.31, N = 3SE +/- 0.28, N = 3SE +/- 1.02, N = 3SE +/- 1.39, N = 482.58100.79157.4192.95MIN: 76.45 / MAX: 95.48MIN: 89.28 / MAX: 105.54MIN: 139.25 / MAX: 172.94MIN: 77.22 / MAX: 122.951. (CC) gcc options: -pthread
MinAvgMaxCompuLab Airtop48.066.877.0Karbon 70047.062.572.0CompuLab Airtop347.070.682.0GM-100059.068.776.0OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.075.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 CompileCompuLab AirtopKarbon 700CompuLab Airtop3GM-10004080120160200SE +/- 0.28, N = 3SE +/- 0.35, N = 3SE +/- 0.08, N = 3SE +/- 0.70, N = 3173.46117.5591.59155.40
MinAvgMaxCompuLab Airtop57.074.685.0Karbon 70052.065.675.0CompuLab Airtop352.073.088.0GM-100060.068.676.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.075.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 CompileCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000306090120150SE +/- 0.08, N = 3SE +/- 0.36, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3118.9483.9364.69114.80
MinAvgMaxCompuLab Airtop64.083.892.0Karbon 70057.070.280.0CompuLab Airtop359.077.493.0GM-100063.070.679.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed PHP Compilation 7.4.2CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.175.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 ScoreCompuLab AirtopKarbon 700CompuLab Airtop3GM-100020040060080010006157451128640

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001.00582.01163.01744.02325.029SE +/- 0.01, N = 3SE +/- 0.06, N = 15SE +/- 0.03, N = 15SE +/- 0.03, N = 154.473.942.473.14
MinAvgMaxCompuLab Airtop55.064.884.0Karbon 70049.059.873.0CompuLab Airtop346.064.280.0GM-100060.068.176.0OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.064.475.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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-bitCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000306090120150SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.61, N = 363.5187.55114.5876.17MIN: 42.21 / MAX: 145.15MIN: 56.85 / MAX: 197.5MIN: 72.92 / MAX: 273.76MIN: 47.76 / MAX: 187.81. (CC) gcc options: -pthread
OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0CPU Temperature MonitorCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001632486480Min: 50 / Avg: 62.03 / Max: 74Min: 48 / Avg: 60.17 / Max: 70Min: 49 / Avg: 70.26 / Max: 84Min: 59 / Avg: 69.19 / Max: 74
OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0System Temperature MonitorGM-1000Karbon 700CompuLab Airtop31428425670Min: 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: vgg16CompuLab AirtopKarbon 700CompuLab Airtop3GM-1000306090120150SE +/- 0.27, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 381.92118.1266.2883.07MIN: 81.13 / MAX: 85.38MIN: 117.8 / MAX: 125.35MIN: 65.89 / MAX: 74.14MIN: 81.47 / MAX: 93.061. (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: CPUCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000246810SE +/- 0.01480, N = 4SE +/- 0.01697, N = 4SE +/- 0.00566, N = 4SE +/- 0.04995, N = 44.323197.045873.964934.38502MIN: 3.98MIN: 6.9MIN: 3.9MIN: 4.021. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxCompuLab Airtop60.081.891.0Karbon 70054.067.478.0CompuLab Airtop355.071.391.0GM-100061.069.278.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.375.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 3.1CompuLab AirtopKarbon 700CompuLab Airtop3GM-10000.92031.84062.76093.68124.6015SE +/- 0.00891, N = 3SE +/- 0.00031, N = 3SE +/- 0.00092, N = 3SE +/- 0.00058, N = 32.710612.314994.090163.708311. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
MinAvgMaxCompuLab Airtop57.073.378.0Karbon 70048.059.365.0CompuLab Airtop349.068.583.0GM-100061.069.076.0OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.775.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: 8CompuLab AirtopKarbon 700CompuLab Airtop3GM-10003691215SE +/- 0.014, N = 5SE +/- 0.013, N = 6SE +/- 0.006, N = 7SE +/- 0.014, N = 68.9836.3545.0866.6721. (CXX) g++ options: -O3 -fPIC
MinAvgMaxCompuLab Airtop61.071.286.0Karbon 70053.062.575.0CompuLab Airtop355.070.895.0GM-100060.069.077.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.066.975.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 BenchmarkCompuLab AirtopKarbon 700CompuLab Airtop3GM-10000.18430.36860.55290.73720.9215SE +/- 0.006, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 30.4660.5170.8190.5331. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
MinAvgMaxCompuLab Airtop50.085.695.0Karbon 70050.064.874.0CompuLab Airtop353.072.289.0GM-100058.067.577.0OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2020.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.067.775.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: CPUCompuLab AirtopKarbon 700CompuLab Airtop3GM-100050100150200250SE +/- 2.10, N = 3SE +/- 0.50, N = 3SE +/- 0.47, N = 3SE +/- 0.93, N = 3167.48251.01143.89231.39MIN: 163.7MIN: 247.27MIN: 141.15MIN: 223.491. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxCompuLab Airtop60.079.895.0Karbon 70053.066.574.0CompuLab Airtop356.072.284.0GM-100061.068.376.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.475.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 RoutineCompuLab AirtopKarbon 700CompuLab Airtop3GM-10007K14K21K28K35KSE +/- 59.46, N = 9SE +/- 18.12, N = 9SE +/- 76.97, N = 11SE +/- 47.47, N = 1119794.1117775.7530993.6430890.911. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
MinAvgMaxCompuLab Airtop61.071.886.0Karbon 70053.060.068.0CompuLab Airtop358.067.785.0GM-100058.064.474.0OpenBenchmarking.orgCelsius, Fewer Is BetterFFTE 7.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.064.575.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: CPUCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000306090120150SE +/- 0.45, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.53, N = 3116.98108.9467.69114.29MIN: 114.08MIN: 99.88MIN: 65.58MIN: 99.971. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxCompuLab Airtop56.078.792.0Karbon 70052.065.875.0CompuLab Airtop356.073.388.0GM-100061.068.174.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.875.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 CompileCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000816243240SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.35, N = 736.0626.4320.9132.12
MinAvgMaxCompuLab Airtop58.071.882.0Karbon 70052.063.872.0CompuLab Airtop352.071.285.0GM-100060.069.276.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Apache Compilation 2.4.41CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.675.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 0CompuLab AirtopKarbon 700CompuLab Airtop3GM-1000246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 34.526.357.775.091. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
MinAvgMaxCompuLab Airtop61.080.385.0Karbon 70053.071.174.0CompuLab Airtop356.082.890.0GM-100061.071.178.0OpenBenchmarking.orgCelsius, Fewer Is BetterVP9 libvpx Encoding 1.8.2CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.675.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: 10CompuLab AirtopKarbon 700CompuLab Airtop3GM-1000246810SE +/- 0.010, N = 6SE +/- 0.006, N = 7SE +/- 0.001, N = 8SE +/- 0.007, N = 78.2595.9994.8056.2831. (CXX) g++ options: -O3 -fPIC
MinAvgMaxCompuLab Airtop59.070.084.0Karbon 70052.061.872.0CompuLab Airtop353.067.588.0GM-100060.067.477.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.066.475.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 tau100.0CompuLab AirtopKarbon 700CompuLab Airtop3GM-100070140210280350SE +/- 3.84, N = 3SE +/- 0.67, N = 3SE +/- 0.58, N = 3SE +/- 1.33, N = 33312652023441. (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
MinAvgMaxCompuLab Airtop59.080.384.0Karbon 70054.067.771.0CompuLab Airtop357.076.588.0GM-100061.069.076.0OpenBenchmarking.orgCelsius, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.875.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: SqueezeNetV1.0CompuLab AirtopKarbon 700CompuLab Airtop3GM-10003691215SE +/- 0.028, N = 3SE +/- 0.008, N = 3SE +/- 0.007, N = 3SE +/- 0.024, N = 310.7759.1706.58111.117MIN: 10.62 / MAX: 12.65MIN: 8.87 / MAX: 21.4MIN: 6.13 / MAX: 44.44MIN: 9.82 / MAX: 23.661. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

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 TestCompuLab AirtopKarbon 700CompuLab Airtop3GM-100060120180240300SE +/- 0.60, N = 3SE +/- 0.72, N = 3SE +/- 0.53, N = 3SE +/- 2.25, N = 3255.82207.69160.39269.93
MinAvgMaxCompuLab Airtop49.074.585.0Karbon 70043.061.065.0CompuLab Airtop334.063.074.0GM-100059.068.774.0OpenBenchmarking.orgCelsius, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.575.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 DeleteCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001020304050SE +/- 0.02, N = 3SE +/- 0.14, N = 3SE +/- 0.21, N = 3SE +/- 0.34, N = 443.8044.0133.7426.191. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxCompuLab Airtop48.051.861.0Karbon 70050.058.265.0CompuLab Airtop352.065.779.0GM-100058.065.072.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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: alexnetCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000612182430SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 323.7523.8714.2322.53MIN: 23.46 / MAX: 25.42MIN: 23.7 / MAX: 32.05MIN: 14 / MAX: 14.66MIN: 21.39 / MAX: 32.991. (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 PerformanceCompuLab AirtopKarbon 700CompuLab Airtop3GM-10002K4K6K8K10K50006944833365781. (CC) gcc options: -O3
MinAvgMaxCompuLab Airtop40.049.652.0Karbon 70038.049.451.0CompuLab Airtop343.060.065.0GM-100049.059.262.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostMark 1.51CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPostMark 1.51System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3122436486027.827.827.8

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 5CompuLab AirtopKarbon 700CompuLab Airtop3GM-1000714212835SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.20, N = 817.2122.8728.6119.651. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
MinAvgMaxCompuLab Airtop59.076.182.0Karbon 70053.067.673.0CompuLab Airtop357.078.488.0GM-100061.070.877.0OpenBenchmarking.orgCelsius, Fewer Is BetterVP9 libvpx Encoding 1.8.2CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.675.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: resnet50CompuLab AirtopKarbon 700CompuLab Airtop3GM-10001122334455SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.19, N = 346.6043.4928.5147.33MIN: 46.17 / MAX: 50.28MIN: 41.8 / MAX: 45.89MIN: 27.85 / MAX: 37.31MIN: 44.74 / MAX: 59.621. (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 TimeCompuLab AirtopKarbon 700CompuLab Airtop3GM-100020406080100SE +/- 0.60, N = 3SE +/- 0.35, N = 3SE +/- 0.49, N = 3SE +/- 0.89, N = 375.9958.5745.8475.79
MinAvgMaxCompuLab Airtop62.079.090.0Karbon 70052.067.075.0CompuLab Airtop356.080.192.0GM-100061.072.277.0OpenBenchmarking.orgCelsius, Fewer Is BetterHuginCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.175.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 ScoreCompuLab AirtopKarbon 700CompuLab Airtop3GM-100050010001500200025001351143022361372
OpenBenchmarking.orgCelsius, Fewer Is BetterAI Benchmark Alpha 0.1.2CPU Temperature MonitorCompuLab AirtopKarbon 700CompuLab Airtop3GM-100020406080100Min: 50 / Avg: 84.08 / Max: 96Min: 45 / Avg: 64 / Max: 76Min: 41 / Avg: 70.68 / Max: 90Min: 58 / Avg: 68.63 / Max: 76
OpenBenchmarking.orgCelsius, Fewer Is BetterAI Benchmark Alpha 0.1.2System Temperature MonitorGM-1000Karbon 700CompuLab Airtop31428425670Min: 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 FillCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001020304050SE +/- 0.18, N = 3SE +/- 0.15, N = 3SE +/- 0.49, N = 3SE +/- 0.33, N = 544.6643.6633.5527.201. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxCompuLab Airtop47.051.058.0Karbon 70049.057.262.0CompuLab Airtop351.066.781.0GM-100058.064.970.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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 TimeCompuLab AirtopKarbon 700CompuLab Airtop3GM-100020406080100SE +/- 0.03, N = 3SE +/- 0.32, N = 3SE +/- 0.51, N = 3SE +/- 1.25, N = 399.2285.4360.8395.481. RawTherapee, version 5.8, command line.
MinAvgMaxCompuLab Airtop57.078.185.0Karbon 70050.066.374.0CompuLab Airtop351.076.788.0GM-100060.069.977.0OpenBenchmarking.orgCelsius, Fewer Is BetterRawTherapeeCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.475.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 ScoreCompuLab AirtopKarbon 700CompuLab Airtop3GM-100020040060080010007366851108732

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: pathlibCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000612182430SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 323.018.214.319.3
MinAvgMaxCompuLab Airtop49.058.761.0Karbon 70046.058.661.0CompuLab Airtop345.064.870.0GM-100057.068.471.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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: mobilenetCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000714212835SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.17, N = 327.0627.5719.0030.33MIN: 26.9 / MAX: 28.18MIN: 27.32 / MAX: 28.23MIN: 18.81 / MAX: 19.51MIN: 28.89 / MAX: 41.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18CompuLab AirtopKarbon 700CompuLab Airtop3GM-1000612182430SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.22, N = 3SE +/- 0.04, N = 324.2424.1715.1923.56MIN: 24 / MAX: 34.65MIN: 23.62 / MAX: 25MIN: 14.53 / MAX: 15.97MIN: 21.32 / MAX: 35.121. (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 OnlyCompuLab AirtopKarbon 700CompuLab Airtop3GM-10007K14K21K28K35KSE +/- 191.07, N = 15SE +/- 116.17, N = 3SE +/- 56.86, N = 3SE +/- 159.81, N = 3210922654433554248621. (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: squeezenetCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000612182430SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 323.0523.5016.2025.54MIN: 22.62 / MAX: 24.77MIN: 23.31 / MAX: 24.17MIN: 15.74 / MAX: 23.82MIN: 24.15 / MAX: 35.431. (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: blosclzCompuLab AirtopKarbon 700CompuLab Airtop3GM-10002K4K6K8K10KSE +/- 27.03, N = 3SE +/- 13.18, N = 3SE +/- 6.83, N = 3SE +/- 11.16, N = 46601.66843.610397.88600.41. (CXX) g++ options: -rdynamic
MinAvgMaxCompuLab Airtop58.068.174.0Karbon 70049.058.562.0CompuLab Airtop349.064.071.0GM-100062.069.474.0OpenBenchmarking.orgCelsius, Fewer Is BetterC-Blosc 2.0 Beta 5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.175.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: FastCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000246810SE +/- 0.01, N = 5SE +/- 0.03, N = 6SE +/- 0.00, N = 7SE +/- 0.01, N = 68.687.235.537.931. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxCompuLab Airtop48.059.270.0Karbon 70043.053.764.0CompuLab Airtop341.056.377.0GM-100058.066.275.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.067.475.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 LatencyCompuLab AirtopKarbon 700CompuLab Airtop3GM-10000.01060.02120.03180.04240.053SE +/- 0.000, N = 15SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0470.0380.0300.0401. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxCompuLab Airtop52.058.869.0Karbon 70052.057.863.0CompuLab Airtop354.063.274.0GM-100060.064.570.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001428425670SE +/- 0.09, N = 3SE +/- 0.73, N = 3SE +/- 0.52, N = 3SE +/- 1.11, N = 360.1060.8142.1464.72
MinAvgMaxCompuLab Airtop56.076.385.0Karbon 70049.067.073.0CompuLab Airtop351.076.486.0GM-100060.068.876.0OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.875.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 BenchmarkCompuLab AirtopKarbon 700CompuLab Airtop3GM-100090180270360450SE +/- 0.36, N = 3SE +/- 1.03, N = 3SE +/- 0.95, N = 3SE +/- 0.61, N = 3276.24334.99420.29322.07
MinAvgMaxCompuLab Airtop55.068.777.0Karbon 70052.066.671.0CompuLab Airtop353.078.487.0GM-100060.072.876.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumpy BenchmarkCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.975.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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-v2CompuLab AirtopKarbon 700CompuLab Airtop3GM-1000246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.22, N = 37.037.825.156.61MIN: 6.92 / MAX: 8.49MIN: 7.64 / MAX: 8.38MIN: 5.01 / MAX: 5.7MIN: 5.61 / MAX: 9.691. (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: floatCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000306090120150SE +/- 0.33, N = 3SE +/- 0.06, N = 3136.0114.089.9122.0
MinAvgMaxCompuLab Airtop50.060.464.0Karbon 70047.058.464.0CompuLab Airtop347.069.576.0GM-100057.067.072.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupCompuLab AirtopKarbon 700CompuLab Airtop3GM-10003691215SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 310.208.526.829.01
MinAvgMaxCompuLab Airtop46.052.956.0Karbon 70044.054.058.0CompuLab Airtop341.052.660.0GM-100057.065.668.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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-tinyCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001020304050SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.19, N = 3SE +/- 0.16, N = 338.9042.3629.0643.08MIN: 38.21 / MAX: 47.13MIN: 41.91 / MAX: 50.86MIN: 28.14 / MAX: 101.73MIN: 41.28 / MAX: 53.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
MinAvgMaxCompuLab Airtop60.083.090.0Karbon 70053.067.372.0CompuLab Airtop356.075.286.0GM-100061.069.178.0OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20200916CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.475.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: JythonCompuLab AirtopKarbon 700CompuLab Airtop3GM-100012002400360048006000SE +/- 44.43, N = 6SE +/- 54.95, N = 7SE +/- 38.10, N = 7SE +/- 23.71, N = 65427488136894833
MinAvgMaxCompuLab Airtop52.061.070.0Karbon 70049.057.666.0CompuLab Airtop349.062.278.0GM-100060.067.074.0OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.066.675.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 PNGCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000612182430SE +/- 0.26, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.42, N = 326.7222.5618.2224.631. rsvg-convert version 2.50.1
MinAvgMaxCompuLab Airtop57.064.869.0Karbon 70052.061.265.0CompuLab Airtop353.068.477.0GM-100061.069.073.0OpenBenchmarking.orgCelsius, Fewer Is BetterlibrsvgCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.069.875.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: 100CompuLab AirtopKarbon 700CompuLab Airtop3GM-100012K24K36K48K60KSE +/- 90.44, N = 3SE +/- 777.23, N = 4SE +/- 402.90, N = 3SE +/- 486.77, N = 7575965473339309442451. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxCompuLab Airtop56.076.480.0Karbon 70050.066.175.0CompuLab Airtop351.072.890.0GM-100060.068.978.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.075.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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_pyaesCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000306090120150SE +/- 0.03, N = 3SE +/- 0.33, N = 3125.0109.085.9116.0
MinAvgMaxCompuLab Airtop47.057.161.0Karbon 70045.056.861.0CompuLab Airtop343.065.973.0GM-100057.066.070.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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: 200CompuLab AirtopKarbon 700CompuLab Airtop3GM-100020K40K60K80K100KSE +/- 108.07, N = 3SE +/- 595.64, N = 3SE +/- 476.82, N = 3SE +/- 906.54, N = 311534211125079582894241. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxCompuLab Airtop57.078.882.0Karbon 70052.067.076.0CompuLab Airtop354.072.991.0GM-100061.069.079.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.575.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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_pythonCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000110220330440550SE +/- 2.73, N = 3489434339462
MinAvgMaxCompuLab Airtop46.056.860.0Karbon 70044.056.560.0CompuLab Airtop341.061.469.0GM-100057.067.171.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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 RNACompuLab AirtopKarbon 700CompuLab Airtop3GM-10003691215SE +/- 0.091, N = 4SE +/- 0.024, N = 4SE +/- 0.018, N = 5SE +/- 0.101, N = 1112.31512.4458.62811.2681. (CC) gcc options: -std=c99 -O3 -lm -lpthread
MinAvgMaxCompuLab Airtop61.073.985.0Karbon 70054.065.372.0CompuLab Airtop359.075.991.0GM-100061.070.578.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed MAFFT Alignment 7.471CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.975.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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-v3CompuLab AirtopKarbon 700CompuLab Airtop3GM-10001428425670SE +/- 0.36, N = 3SE +/- 0.53, N = 3SE +/- 0.09, N = 3SE +/- 0.28, N = 363.2062.3144.4463.68MIN: 60.21 / MAX: 126.58MIN: 50.28 / MAX: 75.48MIN: 43.87 / MAX: 110.57MIN: 58.94 / MAX: 77.621. (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
MinAvgMaxCompuLab Airtop60.085.388.0Karbon 70055.068.880.0CompuLab Airtop357.075.694.0GM-100061.069.180.0OpenBenchmarking.orgCelsius, Fewer Is BetterMobile Neural Network 2020-09-17CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.775.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: 100CompuLab AirtopKarbon 700CompuLab Airtop3GM-100030K60K90K120K150KSE +/- 192.70, N = 3SE +/- 614.60, N = 3SE +/- 164.54, N = 3SE +/- 87.22, N = 31472111463791028691261401. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxCompuLab Airtop58.080.284.0Karbon 70053.068.078.0CompuLab Airtop355.074.792.0GM-100061.069.178.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.675.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: raytraceCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000120240360480600SE +/- 0.88, N = 3SE +/- 0.67, N = 3538479376505
MinAvgMaxCompuLab Airtop48.059.762.0Karbon 70046.060.863.0CompuLab Airtop344.066.474.0GM-100057.070.273.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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: 200CompuLab AirtopKarbon 700CompuLab Airtop3GM-100060K120K180K240K300KSE +/- 117.62, N = 3SE +/- 572.20, N = 3SE +/- 196.94, N = 3SE +/- 2728.74, N = 32942762942382066222553191. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxCompuLab Airtop59.082.186.0Karbon 70053.068.680.0CompuLab Airtop357.075.993.0GM-100062.069.278.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.875.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: 2to3CompuLab AirtopKarbon 700CompuLab Airtop3GM-100080160240320400SE +/- 0.67, N = 3375332264352
MinAvgMaxCompuLab Airtop52.060.566.0Karbon 70049.058.765.0CompuLab Airtop350.061.178.0GM-100058.067.872.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileCompuLab AirtopKarbon 700CompuLab Airtop3GM-10004080120160200SE +/- 0.58, N = 3196178138186
MinAvgMaxCompuLab Airtop47.057.461.0Karbon 70045.057.360.0CompuLab Airtop342.063.470.0GM-100057.067.571.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001224364860SE +/- 0.00, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 355.249.338.952.3
MinAvgMaxCompuLab Airtop46.056.259.0Karbon 70044.056.560.0CompuLab Airtop340.062.467.0GM-100057.067.070.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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-v2-50CompuLab AirtopKarbon 700CompuLab Airtop3GM-10001326395265SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.24, N = 354.8259.9842.5851.89MIN: 49.62 / MAX: 90.53MIN: 57.88 / MAX: 70.26MIN: 42.1 / MAX: 110.22MIN: 48.29 / MAX: 64.911. (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: chaosCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000306090120150SE +/- 0.06, N = 3SE +/- 1.00, N = 3121.0109.085.9117.0
MinAvgMaxCompuLab Airtop50.060.564.0Karbon 70047.059.062.0CompuLab Airtop349.072.479.0GM-100058.067.672.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goCompuLab AirtopKarbon 700CompuLab Airtop3GM-100060120180240300SE +/- 1.67, N = 3279255200270
MinAvgMaxCompuLab Airtop55.060.669.0Karbon 70050.057.967.0CompuLab Airtop353.076.684.0GM-100059.065.573.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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: DefaultCompuLab AirtopKarbon 700CompuLab Airtop3GM-10000.41020.82041.23061.64082.051SE +/- 0.001, N = 11SE +/- 0.002, N = 13SE +/- 0.000, N = 12SE +/- 0.003, N = 111.8231.6731.3131.7591. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxCompuLab Airtop56.060.469.0Karbon 70052.056.966.0CompuLab Airtop354.060.881.0GM-100060.064.373.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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: ReactorCompuLab AirtopKarbon 700CompuLab Airtop3GM-100060120180240300SE +/- 3.19, N = 9SE +/- 3.91, N = 9SE +/- 2.24, N = 12SE +/- 3.29, N = 3251.69256.35196.07271.43
OpenBenchmarking.orgCelsius, Fewer Is BetterJava Gradle BuildCPU Temperature MonitorCompuLab AirtopKarbon 700CompuLab Airtop3GM-100020406080100Min: 52 / Avg: 68.26 / Max: 78Min: 48 / Avg: 64.94 / Max: 74Min: 48 / Avg: 75.61 / Max: 88Min: 59 / Avg: 70.57 / Max: 76
OpenBenchmarking.orgCelsius, Fewer Is BetterJava Gradle BuildSystem Temperature MonitorGM-1000Karbon 700CompuLab Airtop31428425670Min: 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 ImagesCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000714212835SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 327.8925.6520.2727.11
MinAvgMaxCompuLab Airtop53.063.667.0Karbon 70047.058.163.0CompuLab Airtop344.063.573.0GM-100059.069.673.0OpenBenchmarking.orgCelsius, Fewer Is BetterTesseract OCR 4.1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterTesseract OCR 4.1.1System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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: nbodyCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000306090120150SE +/- 0.33, N = 3140131103138
MinAvgMaxCompuLab Airtop49.059.864.0Karbon 70047.058.162.0CompuLab Airtop347.066.875.0GM-100058.067.972.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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 DynamicsCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000510152025SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 322.5521.0316.6822.15
MinAvgMaxCompuLab Airtop63.074.378.0Karbon 70055.065.869.0CompuLab Airtop359.080.289.0GM-100063.073.877.0OpenBenchmarking.orgCelsius, Fewer Is BetterDolfyn 0.527CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.275.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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_svmCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000714212835SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.20, N = 321.4227.2522.4328.93
MinAvgMaxCompuLab Airtop57.066.469.0Karbon 70052.060.968.0CompuLab Airtop351.067.879.0GM-100061.068.474.0OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkCPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkSystem Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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 CompressionCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001122334455SE +/- 0.05, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 345.7143.0334.8046.981. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxCompuLab Airtop52.066.071.0Karbon 70049.060.867.0CompuLab Airtop349.068.879.0GM-100059.070.376.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.067.975.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 2020-06-28CompuLab AirtopKarbon 700CompuLab Airtop3GM-1000714212835SE +/- 0.15, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.17, N = 325.3327.4621.5829.101. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
MinAvgMaxCompuLab Airtop49.058.362.0Karbon 70047.057.360.0CompuLab Airtop347.065.671.0GM-100058.068.070.0OpenBenchmarking.orgCelsius, Fewer Is BetterRNNoise 2020-06-28CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterRNNoise 2020-06-28System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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 2CompuLab AirtopKarbon 700CompuLab Airtop3GM-100010M20M30M40M50MSE +/- 360329.39, N = 3SE +/- 87756.94, N = 3SE +/- 180310.11, N = 3SE +/- 15338.08, N = 336078067.238072622.248614938.036200967.7
MinAvgMaxCompuLab Airtop48.055.465.0Karbon 70046.054.163.0CompuLab Airtop344.059.878.0GM-100057.064.674.0OpenBenchmarking.orgCelsius, Fewer Is BetterBYTE Unix Benchmark 3.6CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterBYTE Unix Benchmark 3.6System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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 100CompuLab AirtopKarbon 700CompuLab Airtop3GM-10000.63091.26181.89272.52363.1545SE +/- 0.002, N = 9SE +/- 0.001, N = 10SE +/- 0.002, N = 10SE +/- 0.001, N = 92.8042.6472.0822.7801. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxCompuLab Airtop55.059.567.0Karbon 70050.056.165.0CompuLab Airtop352.060.577.0GM-100059.064.172.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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 v1.1CompuLab AirtopKarbon 700CompuLab Airtop3GM-100080160240320400SE +/- 0.04, N = 3SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 3292.59343.22269.28362.13MIN: 291.2 / MAX: 293.74MIN: 342.72 / MAX: 356.39MIN: 268.32 / MAX: 274.07MIN: 361.7 / MAX: 362.71. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
MinAvgMaxCompuLab Airtop52.062.866.0Karbon 70048.055.860.0CompuLab Airtop349.065.576.0GM-100060.069.974.0OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.2.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.575.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 CompressionCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000246810SE +/- 0.011, N = 5SE +/- 0.014, N = 6SE +/- 0.006, N = 6SE +/- 0.007, N = 58.4498.1336.3808.5721. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxCompuLab Airtop53.060.765.0Karbon 70049.057.763.0CompuLab Airtop350.065.676.0GM-100059.066.671.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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 CommandsCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001428425670SE +/- 0.17, N = 3SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.41, N = 359.8356.4544.9760.371. git version 2.27.0
MinAvgMaxCompuLab Airtop58.069.673.0Karbon 70051.062.465.0CompuLab Airtop353.074.579.0GM-100060.070.874.0OpenBenchmarking.orgCelsius, Fewer Is BetterGitCPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterGitSystem Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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_loadsCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000714212835SE +/- 0.17, N = 3SE +/- 0.00, N = 3SE +/- 0.19, N = 3SE +/- 0.03, N = 328.027.121.428.4
MinAvgMaxCompuLab Airtop47.057.761.0Karbon 70045.057.561.0CompuLab Airtop343.063.670.0GM-100057.067.671.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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 5.2.0CompuLab AirtopKarbon 700CompuLab Airtop3GM-1000246810SE +/- 0.032, N = 5SE +/- 0.027, N = 5SE +/- 0.020, N = 6SE +/- 0.022, N = 68.6018.5696.4858.007
MinAvgMaxCompuLab Airtop59.066.674.0Karbon 70052.058.567.0CompuLab Airtop353.066.683.0GM-100061.067.374.0OpenBenchmarking.orgCelsius, Fewer Is BetterGNU Octave Benchmark 5.2.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterGNU Octave Benchmark 5.2.0System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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, LosslessCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000510152025SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 4SE +/- 0.01, N = 321.0319.9716.0221.201. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxCompuLab Airtop54.062.366.0Karbon 70050.058.965.0CompuLab Airtop351.065.878.0GM-100059.066.872.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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 SearchCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000306090120150SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3117.87131.20100.19131.251. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
MinAvgMaxCompuLab Airtop57.068.374.0Karbon 70052.059.164.0CompuLab Airtop352.069.680.0GM-100059.067.872.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed HMMer Search 3.3.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed HMMer Search 3.3.1System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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: FLOATCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000100M200M300M400M500MSE +/- 478845.36, N = 3SE +/- 666152.61, N = 3SE +/- 825158.10, N = 3SE +/- 534147.70, N = 3370080894.80371786567.43471438878.81360309999.321. (CC) gcc options: -O3 -march=native -lm
MinAvgMaxCompuLab Airtop53.065.372.0Karbon 70046.057.262.0CompuLab Airtop343.063.476.0GM-100059.066.669.0OpenBenchmarking.orgCelsius, Fewer Is BetterHierarchical INTegration 1.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterHierarchical INTegration 1.0System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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 v2CompuLab AirtopKarbon 700CompuLab Airtop3GM-100080160240320400SE +/- 0.12, N = 3SE +/- 0.91, N = 3SE +/- 0.57, N = 3SE +/- 0.15, N = 3301.68369.09283.96369.91MIN: 300.63 / MAX: 304.86MIN: 367.26 / MAX: 372.62MIN: 282.43 / MAX: 316.3MIN: 368.82 / MAX: 373.151. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
MinAvgMaxCompuLab Airtop53.063.767.0Karbon 70048.058.063.0CompuLab Airtop349.070.380.0GM-100059.069.874.0OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.2.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.066.475.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 BenchmarkCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000816243240SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.32, N = 328.3227.1233.3527.261. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
MinAvgMaxCompuLab Airtop51.068.574.0Karbon 70048.062.768.0CompuLab Airtop350.074.482.0GM-100059.069.974.0OpenBenchmarking.orgCelsius, Fewer Is BetterLibRaw 0.20CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.069.675.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: H2CompuLab AirtopKarbon 700CompuLab Airtop3GM-10007001400210028003500SE +/- 26.08, N = 20SE +/- 41.03, N = 20SE +/- 28.32, N = 20SE +/- 39.15, N = 203456326729283339
MinAvgMaxCompuLab Airtop53.061.971.0Karbon 70050.058.667.0CompuLab Airtop351.064.683.0GM-100060.067.775.0OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.275.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 MonitoringCompuLab AirtopKarbon 700CompuLab Airtop3GM-100020406080100Min: 40 / Avg: 70.91 / Max: 96Min: 38 / Avg: 60.6 / Max: 87Min: 34 / Avg: 70.36 / Max: 100Min: 49 / Avg: 67.98 / Max: 82

Kripke

OpenBenchmarking.orgCelsius, Fewer Is BetterKripke 1.2.4System Temperature MonitorGM-1000Karbon 700CompuLab Airtop31428425670Min: 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 MonitorCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001530456075Min: 44 / Avg: 47.63 / Max: 75Min: 44 / Avg: 50.99 / Max: 61Min: 43 / Avg: 67.58 / Max: 81Min: 58 / Avg: 67.81 / Max: 72

Mlpack Benchmark

OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkSystem Temperature MonitorGM-1000Karbon 700CompuLab Airtop31428425670Min: 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 MonitorCompuLab AirtopKarbon 700CompuLab Airtop3GM-100020406080100Min: 57 / Avg: 74.3 / Max: 94Min: 52 / Avg: 64.81 / Max: 74Min: 53 / Avg: 71.15 / Max: 84Min: 61 / Avg: 69.22 / Max: 76

Facebook RocksDB

MinAvgMaxGM-100064.071.475.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6System Temperature Monitor20406080100

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

ASTC Encoder

MinAvgMaxGM-100064.071.075.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0System Temperature Monitor20406080100

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

PostgreSQL pgbench

OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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

OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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

LevelDB

OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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

OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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

OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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

OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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

OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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

OpenSSL

MinAvgMaxGM-100064.072.375.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterOpenSSL 1.1.1System Temperature Monitor20406080100

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

eSpeak-NG Speech Engine

OpenBenchmarking.orgCelsius, Fewer Is BettereSpeak-NG Speech Engine 20200907System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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

SVT-VP9

MinAvgMaxGM-100064.071.275.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1System Temperature Monitor20406080100

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

MinAvgMaxGM-100064.070.475.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1System Temperature Monitor20406080100

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

Kvazaar

MinAvgMaxGM-100064.072.375.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System Temperature Monitor20406080100

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

oneDNN

MinAvgMaxGM-100064.072.075.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

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

MinAvgMaxGM-100064.072.575.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

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

MinAvgMaxGM-100064.072.475.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

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

DaCapo Benchmark

MinAvgMaxGM-100064.068.075.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1System Temperature Monitor20406080100

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

LAMMPS Molecular Dynamics Simulator

MinAvgMaxGM-100064.069.375.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020System Temperature Monitor20406080100

MinAvgMaxCompuLab Airtop59.072.382.0Karbon 70054.062.272.0CompuLab Airtop359.071.191.0GM-100062.068.578.0OpenBenchmarking.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 1.2.4CompuLab AirtopKarbon 700CompuLab Airtop3GM-10005M10M15M20M25MSE +/- 47162.72, N = 4SE +/- 187229.46, N = 9SE +/- 86477.80, N = 3SE +/- 42312.00, N = 33716694574190421264093208895831. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgCelsius, Fewer Is BetterKripke 1.2.4CPU Temperature MonitorCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001530456075Min: 44 / Avg: 47.63 / Max: 75Min: 44 / Avg: 50.99 / Max: 61Min: 43 / Avg: 67.58 / Max: 81Min: 58 / Avg: 67.81 / Max: 72
OpenBenchmarking.orgCelsius, Fewer Is BetterKripke 1.2.4System Temperature MonitorGM-1000Karbon 700CompuLab Airtop31428425670Min: 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_qdaCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000306090120150SE +/- 1.20, N = 12SE +/- 10.16, N = 12SE +/- 0.23, N = 3SE +/- 0.01, N = 376.46130.5362.6887.81
OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkCPU Temperature MonitorCompuLab AirtopKarbon 700CompuLab Airtop3GM-100020406080100Min: 57 / Avg: 74.3 / Max: 94Min: 52 / Avg: 64.81 / Max: 74Min: 53 / Avg: 71.15 / Max: 84Min: 61 / Avg: 69.22 / Max: 76
OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkSystem Temperature MonitorGM-1000Karbon 700CompuLab Airtop31428425670Min: 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 FillCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000200K400K600K800K1000KSE +/- 673.55, N = 3SE +/- 11711.73, N = 15SE +/- 7973.52, N = 3SE +/- 7757.34, N = 54644595263588717386347391. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
MinAvgMaxCompuLab Airtop55.073.677.0Karbon 70051.063.172.0CompuLab Airtop351.071.483.0GM-100061.069.176.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.475.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: blazefaceCompuLab AirtopKarbon 700CompuLab Airtop3GM-10000.54231.08461.62692.16922.7115SE +/- 0.31, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.002.410.611.04MIN: 0.99 / MAX: 1.05MIN: 1.77 / MAX: 5.23MIN: 0.6 / MAX: 0.63MIN: 0.94 / MAX: 1.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetCompuLab AirtopKarbon 700CompuLab Airtop3GM-10003691215SE +/- 0.00, N = 3SE +/- 0.69, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 33.329.261.483.10MIN: 3.26 / MAX: 4.29MIN: 8.48 / MAX: 11.1MIN: 1.46 / MAX: 1.51MIN: 3 / MAX: 4.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2CompuLab AirtopKarbon 700CompuLab Airtop3GM-10003691215SE +/- 0.00, N = 3SE +/- 0.55, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.5910.101.302.38MIN: 2.52 / MAX: 4.11MIN: 7.39 / MAX: 12.25MIN: 1.29 / MAX: 1.36MIN: 2.24 / MAX: 4.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000612182430SE +/- 0.09, N = 3SE +/- 0.30, N = 3SE +/- 0.32, N = 3SE +/- 0.96, N = 320.3922.4015.0023.99MIN: 20.14 / MAX: 21.29MIN: 21.48 / MAX: 24.2MIN: 14.19 / MAX: 15.74MIN: 17.71 / MAX: 26.791. (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: MediumCompuLab AirtopKarbon 700CompuLab Airtop3GM-10003691215SE +/- 0.01, N = 4SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.16, N = 1511.146.208.529.911. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxCompuLab Airtop48.064.274.0Karbon 70044.058.869.0CompuLab Airtop342.063.080.0GM-100059.068.576.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.075.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 LatencyCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000306090120150SE +/- 0.13, N = 3SE +/- 2.36, N = 15SE +/- 0.25, N = 3SE +/- 0.31, N = 3156.8767.1783.7368.901. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxCompuLab Airtop48.049.150.0Karbon 70043.045.449.0CompuLab Airtop342.043.746.0GM-100058.059.060.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor1632486480
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read WriteCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000160320480640800SE +/- 0.26, N = 3SE +/- 23.33, N = 15SE +/- 1.80, N = 3SE +/- 3.31, N = 33197565977261. (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 LatencyCompuLab AirtopKarbon 700CompuLab Airtop3GM-10000.7471.4942.2412.9883.735SE +/- 0.040, N = 6SE +/- 0.096, N = 15SE +/- 0.125, N = 12SE +/- 0.018, N = 33.3201.1452.3721.9881. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxCompuLab Airtop49.050.452.0Karbon 70047.050.055.0CompuLab Airtop342.046.955.0GM-100058.058.960.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor1632486480
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read WriteCompuLab AirtopKarbon 700CompuLab Airtop3GM-10002004006008001000SE +/- 3.58, N = 6SE +/- 59.06, N = 15SE +/- 20.79, N = 12SE +/- 4.74, N = 33019414345031. (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 RandomCompuLab AirtopKarbon 700CompuLab Airtop3GM-100048121620SE +/- 0.024, N = 7SE +/- 0.156, N = 15SE +/- 0.183, N = 15SE +/- 0.070, N = 155.47913.6738.9375.9281. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxCompuLab Airtop47.057.866.0Karbon 70048.060.965.0CompuLab Airtop350.068.678.0GM-100058.065.071.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadCompuLab AirtopKarbon 700CompuLab Airtop3GM-10003691215SE +/- 0.011, N = 8SE +/- 0.166, N = 15SE +/- 0.090, N = 15SE +/- 0.022, N = 84.15210.2297.6634.7481. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxCompuLab Airtop47.055.464.0Karbon 70046.058.163.0CompuLab Airtop347.065.377.0GM-100057.063.670.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random FillCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001224364860SE +/- 0.06, N = 8SE +/- 2.43, N = 15SE +/- 0.33, N = 15SE +/- 0.30, N = 1543.3954.6136.1828.461. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxCompuLab Airtop47.050.458.0Karbon 70047.051.261.0CompuLab Airtop347.057.277.0GM-100057.060.868.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random FillCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001122334455SE +/- 0.03, N = 8SE +/- 1.18, N = 15SE +/- 0.44, N = 15SE +/- 0.32, N = 1520.433.149.031.11. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: OverwriteCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001224364860SE +/- 0.10, N = 8SE +/- 2.50, N = 15SE +/- 0.31, N = 15SE +/- 0.24, N = 1543.3355.2536.6928.731. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxCompuLab Airtop48.050.558.0Karbon 70046.052.361.0CompuLab Airtop348.055.976.0GM-100057.060.967.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001122334455SE +/- 0.04, N = 8SE +/- 1.32, N = 15SE +/- 0.41, N = 15SE +/- 0.26, N = 1520.432.948.330.81. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill SyncCompuLab AirtopKarbon 700CompuLab Airtop3GM-10002K4K6K8K10KSE +/- 23.53, N = 5SE +/- 74.53, N = 15SE +/- 6.82, N = 6SE +/- 8.65, N = 1010317.681309.976472.062260.151. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxCompuLab Airtop48.048.750.0Karbon 70047.048.550.0CompuLab Airtop349.050.753.0GM-100058.058.760.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor1632486480
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill SyncCompuLab AirtopKarbon 700CompuLab Airtop3GM-10000.3150.630.9451.261.575SE +/- 0.00, N = 5SE +/- 0.08, N = 15SE +/- 0.00, N = 6SE +/- 0.00, N = 100.11.40.30.41. (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 PerformanceCompuLab AirtopKarbon 700CompuLab Airtop3GM-10005001000150020002500SE +/- 3.09, N = 3SE +/- 13.61, N = 15SE +/- 21.92, N = 14SE +/- 29.90, N = 151048.41931.62539.91492.71. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
MinAvgMaxCompuLab Airtop49.070.176.0Karbon 70046.063.573.0CompuLab Airtop346.071.193.0GM-100058.067.276.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenSSL 1.1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.375.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 SynthesisCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000918273645SE +/- 0.36, N = 9SE +/- 0.46, N = 20SE +/- 0.13, N = 4SE +/- 0.19, N = 437.7931.6823.7133.381. (CC) gcc options: -O2 -std=c99
MinAvgMaxCompuLab Airtop50.060.564.0Karbon 70048.060.765.0CompuLab Airtop349.070.777.0GM-100059.068.671.0OpenBenchmarking.orgCelsius, Fewer Is BettereSpeak-NG Speech Engine 20200907CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BettereSpeak-NG Speech Engine 20200907System Temperature MonitorGM-1000Karbon 700CompuLab Airtop3142842567027.827.827.8

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 1080pCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000306090120150SE +/- 0.12, N = 5SE +/- 0.08, N = 6SE +/- 0.95, N = 8SE +/- 1.58, N = 1563.9996.13131.8380.061. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
MinAvgMaxCompuLab Airtop61.080.091.0Karbon 70053.066.376.0CompuLab Airtop356.071.988.0GM-100061.068.678.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.275.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1System Temperature Monitor20406080100

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pCompuLab AirtopKarbon 700CompuLab Airtop3GM-10004080120160200SE +/- 0.88, N = 7SE +/- 0.71, N = 7SE +/- 0.26, N = 8SE +/- 1.68, N = 1580.91112.71169.12107.791. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
MinAvgMaxCompuLab Airtop62.079.591.0Karbon 70054.064.173.0CompuLab Airtop356.069.286.0GM-100061.068.677.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.070.475.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 FastCompuLab AirtopKarbon 700CompuLab Airtop3GM-100020406080100SE +/- 0.02, N = 4SE +/- 0.80, N = 15SE +/- 1.01, N = 7SE +/- 0.87, N = 1539.0067.5391.4644.451. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxCompuLab Airtop63.084.892.0Karbon 70053.066.480.0CompuLab Airtop355.073.191.0GM-100061.068.678.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.375.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: CPUCompuLab AirtopKarbon 700CompuLab Airtop3GM-10003691215SE +/- 0.06708, N = 3SE +/- 0.14132, N = 12SE +/- 0.06779, N = 4SE +/- 0.15350, N = 1310.293006.618035.0467310.80921MIN: 10.02MIN: 4.86MIN: 4.56MIN: 6.791. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxCompuLab Airtop58.080.490.0Karbon 70052.067.483.0CompuLab Airtop356.072.490.0GM-100061.068.478.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.075.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPUCompuLab AirtopKarbon 700CompuLab Airtop3GM-10001.26522.53043.79565.06086.326SE +/- 0.01843, N = 4SE +/- 0.03957, N = 15SE +/- 0.00614, N = 4SE +/- 0.10124, N = 155.623212.555641.889894.84005MIN: 5.55MIN: 1.92MIN: 1.55MIN: 3.331. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxCompuLab Airtop58.076.784.0Karbon 70053.067.180.0CompuLab Airtop357.072.091.0GM-100061.068.479.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.575.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPUCompuLab AirtopKarbon 700CompuLab Airtop3GM-10003691215SE +/- 0.05158, N = 4SE +/- 0.04542, N = 15SE +/- 0.04455, N = 15SE +/- 0.22450, N = 158.643286.273424.497389.53324MIN: 8.21MIN: 5.45MIN: 3.82MIN: 6.671. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxCompuLab Airtop56.079.790.0Karbon 70052.065.881.0CompuLab Airtop355.072.090.0GM-100061.068.278.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.475.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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: TradebeansCompuLab AirtopKarbon 700CompuLab Airtop3GM-100011002200330044005500SE +/- 64.08, N = 5SE +/- 92.26, N = 16SE +/- 42.33, N = 20SE +/- 30.71, N = 54944395627913621
MinAvgMaxCompuLab Airtop52.062.972.0Karbon 70050.058.368.0CompuLab Airtop352.066.984.0GM-100060.068.975.0OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.075.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 ProteinCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000246810SE +/- 0.061, N = 15SE +/- 0.006, N = 8SE +/- 0.062, N = 10SE +/- 0.047, N = 152.4885.1166.7864.8701. (CXX) g++ options: -O3 -pthread -lm
MinAvgMaxCompuLab Airtop59.072.382.0Karbon 70054.062.272.0CompuLab Airtop359.071.191.0GM-100062.068.578.0OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.069.375.0Karbon 70027.827.827.8CompuLab Airtop327.827.827.8OpenBenchmarking.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 TestCompuLab AirtopKarbon 700CompuLab Airtop3GM-1000140280420560700SE +/- 0.19, N = 11SE +/- 6.43, N = 15SE +/- 0.83, N = 13SE +/- 32.44, N = 1577.35652.88253.17461.45MIN: 37.51 / MAX: 96.26MIN: 125.89 / MAX: 1003.71MIN: 74.4 / MAX: 323.5MIN: 18.41 / MAX: 691.921. (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

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.

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.

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.