GM-1000, Karbon 700, CompuLab Airtop PCs

Tests for a future article by Michael Larabel.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2011011-FI-GM100056276
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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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  18 Hours, 5 Minutes

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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 PCskripke: build-llvm: Time To Compilerealsr-ncnn: 4x - Yesincompact3d: Cylinderjava-gradle-perf: Reactorastcenc: Exhaustiveai-benchmark: Device AI Scoreai-benchmark: Device Training Scoreai-benchmark: Device Inference Scoremlpack: scikit_qdalczero: Eigenlczero: BLASgromacs: Water Benchmarkyafaray: Total Time For Sample Scenemocassin: Dust 2D tau100.0caffe: GoogleNet - CPU - 200mlpack: scikit_linearridgeregressionbrl-cad: VGR Performance Metrichint: FLOATnumpy: kvazaar: Bosphorus 4K - Mediumsvt-av1: Enc Mode 0 - 1080pnumenta-nab: Earthgecko Skylinewireguard: openvkl: vklBenchmarkcassandra: Writeshpcg: dav1d: Chimera 1080p 10-bitbuild-linux-kernel: Time To Compilenamd: ATPase Simulation - 327,506 Atomstensorflow-lite: Inception V4avifenc: 0tensorflow-lite: Inception ResNet V2luxcorerender: DLSCmnn: inception-v3mnn: resnet-v2-50mnn: SqueezeNetV1.0john-the-ripper: MD5build-gdb: Time To Compilecaffe: GoogleNet - CPU - 100numenta-nab: Relative Entropyrocksdb: Rand Fillcompress-zstd: 19rocksdb: Rand Fill Syncbyte: Dhrystone 2hmmer: Pfam Database Searchnumenta-nab: Bayesian Changepointrocksdb: Read While Writingluxcorerender: Rainbow Colors and Prismglmark2: 1920 x 1080vpxenc: Speed 0espeak: Text-To-Speech Synthesiscaffe: AlexNet - CPU - 200build-php: Time To Compileavifenc: 2ncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetncnn: CPU - squeezenetrawtherapee: Total Benchmark Timekvazaar: Bosphorus 4K - Very Fastrealsr-ncnn: 4x - Nopyperformance: raytraceopenssl: RSA 4096-bit Performancepgbench: 1 - 1 - Read Write - Average Latencypgbench: 1 - 1 - Read Writex265: Bosphorus 4Kjohn-the-ripper: Blowfishpyperformance: python_startupkeydb: caffe: AlexNet - CPU - 100tensorflow-lite: NASNet Mobilenumenta-nab: Windowed Gaussiantensorflow-lite: SqueezeNetrocksdb: Rand Readhugin: Panorama Photo Assistant + Stitching Timeastcenc: Thoroughonednn: IP Batch 1D - f32 - CPUkvazaar: Bosphorus 1080p - Very Fasttensorflow-lite: Mobilenet Quanttensorflow-lite: Mobilenet Floatpyperformance: 2to3mlpack: scikit_icaonednn: IP Batch All - u8s8f32 - CPUonednn: IP Batch All - f32 - CPUoidn: Memorialonednn: Recurrent Neural Network Training - f32 - CPUncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU - squeezenetonednn: Deconvolution Batch deconv_1d - f32 - CPUgit: Time To Complete Common Git Commandsrays1bench: Large Scenekvazaar: Bosphorus 4K - Ultra Fastonednn: Deconvolution Batch deconv_1d - u8s8f32 - CPUkvazaar: Bosphorus 1080p - Mediumpgbench: 1 - 50 - Read Write - Average Latencypgbench: 1 - 50 - Read Writepgbench: 1 - 1 - Read Only - Average Latencypgbench: 1 - 1 - Read Onlypgbench: 1 - 50 - Read Only - Average Latencypgbench: 1 - 50 - Read Onlypyperformance: goocrmypdf: Processing 60 Page PDF Documentdacapobench: H2onednn: IP Batch 1D - u8s8f32 - CPUsvt-av1: Enc Mode 4 - 1080pcompress-7zip: Compress Speed Testwebp: Quality 100, Lossless, Highest Compressionlibraw: Post-Processing Benchmarkdav1d: Summer Nature 4Kdacapobench: Tradesoapvpxenc: Speed 5x265: Bosphorus 1080pbuild-apache: Time To Compileleveldb: Seek Randpostmark: Disk Transaction Performanceonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUkvazaar: Bosphorus 1080p - Ultra Fastrocksdb: Seq Fillonednn: Recurrent Neural Network Inference - f32 - CPUpyperformance: regex_compiledacapobench: Tradebeanswaifu2x-ncnn: 2x - 3 - Yesastcenc: Mediumdav1d: Chimera 1080ppyperformance: pathlibcompress-zstd: 3mlpack: scikit_svmpyperformance: django_templateleveldb: Rand Readblosc: blosclzrnnoise: pyperformance: pickle_pure_pythonpyperformance: floattesseract-ocr: Time To OCR 7 Imagespyperformance: chaospyperformance: json_loadspyperformance: crypto_pyaespyperformance: nbodytnn: CPU - MobileNet v2rsvg: SVG Files To PNGtnn: CPU - SqueezeNet v1.1mafft: Multiple Sequence Alignment - LSU RNAwebp: Quality 100, Losslessleveldb: Seq Fillleveldb: Seq Filllammps: Rhodopsin Proteindolfyn: Computational Fluid Dynamicssvt-vp9: Visual Quality Optimized - Bosphorus 1080pleveldb: Rand Deleteleveldb: Overwriteleveldb: Overwriteleveldb: Rand Fillleveldb: Rand Fillsvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pleveldb: Hot Readonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUwebp: Quality 100, Highest Compressionavifenc: 10astcenc: Fastoctave-benchmark: onednn: Convolution Batch Shapes Auto - f32 - CPUdacapobench: Jythononednn: Convolution Batch Shapes Auto - u8s8f32 - CPUavifenc: 8waifu2x-ncnn: 2x - 3 - Noleveldb: Fill Syncleveldb: Fill Synconednn: Deconvolution Batch deconv_3d - f32 - CPUdav1d: Summer Nature 1080ponednn: Deconvolution Batch deconv_3d - u8s8f32 - CPUffte: N=256, 3D Complex FFT Routinewebp: Quality 100webp: Defaultior: Read Testior: Write TestGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop208895831604.059276.624706.786153271.428631.69137273264087.817587840.533374.7543442553193.1443138360309999.31612322.071.990.074300.544269.93280.39207323.7083176.17212.6484.178686011180190.81654413000.6763.68251.88711.117430834155.39512614049.50263473923.3347336200967.7131.24897.1358087360.7534425.0933.37789424114.796110.73743.0847.3322.5323.5683.0723.996.6130.3325.5495.4815.6237.8755051492.71.9885036.5376549.01458524.514424532124626.1154063692461633175.78876.989.5332423.5427952427839335264.7267.7654114.2913.70670.34116.2813.228.175.8033.337.841.045.233.102.383.393.009.3110.2710.8092160.37219.7410.3812.82039.0168.8967260.040248620.39012837327039.60833394.840051.4462411046.98227.2692.95668019.6531.4232.1155.92865785.9123944.45981091231.386186362116.8689.91354.5119.33601.728.9352.34.7488600.429.10046212227.10811728.4116138369.90824.631362.13011.26821.19727.20432.54.87022.14580.0626.18728.73330.828.45931.1107.794.8544.385028.5726.2837.938.00716.6224483316.12366.6723.2142260.1460.48.88371344.076.6951730890.9066747312.7801.759476.15461.4521264093769.66281.525378.579915196.073274.4922361108112862.687658400.819177.7312022066222.47100566471438878.81023420.294.260.134132.854160.387141.93678204.09016114.5898.5091.96010326069799.60929461271.4144.44442.5816.58183645491.59110286922.21587173825.7234448614938.0100.19243.07919233731.537.7723.7057958264.68959.41229.0628.5114.2315.1966.2815.005.1519.0016.2060.83312.0512.6263762539.92.37243412.36152726.82751370.013930919970812.4542265124346559645.83933.234.4973847.2115649615364526442.1427.745767.69057.53322.5948.503.752.111.688.313.220.612.641.481.31.661.434.593.635.0467344.96746.1122.215.6421519.0283.7315970.03335540.16929654520021.68729281.889892.9434875234.79633.35157.41369228.6154.9120.9108.93783332.5611391.461321566143.88813827915.6018.52644.6914.32955.522.4338.97.66310397.821.58233989.920.27185.921.485.9103283.96018.220269.2758.62816.02233.54552.86.78616.678131.8333.73836.68748.336.18349.0169.126.8363.964936.3804.8055.536.48517.0248368916.52365.0866472.0620.36.65640582.073.3135630993.6351886782.0821.3131052.00253.1757419041051.6001764.690512.730326256.350384.661430685745130.533063350.517246.2962652942383.94371786567.42537334.993.030.104192.616207.69298.39501242.3149987.55134.6692.809924371977134.32539526601.0562.30859.9839.170594105117.55214637929.87052635812.5917538072622.2131.20171.55615224591.155246.3531.67511125083.92577.81442.3643.4923.8724.17118.1222.407.8227.5723.5085.4298.61223.4624791931.61.1459419.00112278.52570969.825473326200716.8052982833153797258.57346.096.2734234.6920512620205533260.8141.1275108.9435.27539.07665.8750.2225.9223.85151.4623.542.4116.479.2610.1010.198.1726.1927.586.6180356.44931.9316.007.7204813.8167.1687560.038265440.22122667525528.19032672.555642.1153313543.02527.12100.79517222.8741.4426.42813.67369443.6237567.531033541251.012178395679.3356.20450.5318.21609.027.2549.310.2296843.627.46343411425.65110927.1109131369.08622.564343.22112.44519.97243.65640.55.11621.02596.1344.01355.25032.954.60733.1112.7110.1807.045878.1335.9997.238.56932.0032488130.88416.35410.7721309.9681.47.88671432.274.6349517775.7464928012.6471.673517.18652.8837166941666.606405.7741024.46663251.688597.50135173661576.467377840.466391.4963312942764.4744869370080894.79875276.241.980.068282.796255.81553.75201042.7106163.51217.4084.441127836207203.06870870530.6763.20454.82010.775399692173.46414721151.01346445923.762436078067.2117.86782.8848640660.7337184.5237.786115342118.944120.46138.9046.6023.7524.2481.9220.397.0327.0623.0599.2195.3347.2705381048.43.3203016.10623310.2346852.165759638831927.5915427321862504375.99072.578.6432821.5535518536703637560.1073.5828116.9783.50605.87020.0114.098.706.1733.748.4815.703.322.593.733.1810.7412.3510.293059.82920.179.7413.23768.63156.8663190.047210920.44711191527942.83234565.623211.2902267345.70928.3282.58780317.2127.9136.0645.47950005.4832039.00557302167.479196494419.92711.14307.3423.02511.421.4255.24.1526601.625.33148913627.89212128.0125140301.68226.719292.58512.31521.02544.66319.82.48822.54963.9943.79543.32620.443.38520.480.914.1564.323198.4498.2598.688.60120.3987542719.58018.9833.29210317.6820.117.5367277.9711.290419794.1066358882.8041.823232.4577.35OpenBenchmarking.org

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 1.2.4GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop5M10M15M20M25MSE +/- 42312.00, N = 3SE +/- 86477.80, N = 3SE +/- 187229.46, N = 9SE +/- 47162.72, N = 42088958321264093574190437166941. (CXX) g++ options: -O3 -fopenmp
MinAvgMaxGM-100058.067.872.0CompuLab Airtop343.067.681.0Karbon 70044.051.061.0CompuLab Airtop44.047.675.0OpenBenchmarking.orgCelsius, Fewer Is BetterKripke 1.2.4CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.064.275.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterKripke 1.2.4System Temperature Monitor20406080100

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 CompileGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop400800120016002000SE +/- 1.30, N = 3SE +/- 4.62, N = 3SE +/- 0.57, N = 3SE +/- 9.03, N = 31604.06769.661051.601666.61
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 10.0CPU Temperature MonitorGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop20406080100Min: 61 / Avg: 69.21 / Max: 78Min: 56 / Avg: 77.27 / Max: 91Min: 54 / Avg: 69.36 / Max: 78Min: 62 / Avg: 88.67 / Max: 92
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 10.0System Temperature MonitorGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1428425670Min: 64 / Avg: 74.93 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8

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: YesGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop400800120016002000SE +/- 0.07, N = 3SE +/- 0.44, N = 3SE +/- 0.20, N = 3SE +/- 6.42, N = 9276.6281.531764.69405.77
MinAvgMaxGM-100050.052.564.0CompuLab Airtop338.040.259.0Karbon 70041.054.358.0CompuLab Airtop41.044.456.0OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818CPU Temperature Monitor20406080100
MinAvgMaxGM-100054.054.165.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818System Temperature Monitor20406080100

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: CylinderGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop2004006008001000SE +/- 1.81, N = 3SE +/- 1.24, N = 3SE +/- 1.81, N = 3SE +/- 4.69, N = 3706.79378.58512.731024.471. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz
OpenBenchmarking.orgCelsius, Fewer Is BetterIncompact3D 2020-09-17CPU Temperature MonitorGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop20406080100Min: 59 / Avg: 68.96 / Max: 78Min: 51 / Avg: 76.24 / Max: 88Min: 49 / Avg: 67.53 / Max: 76Min: 55 / Avg: 83.32 / Max: 87
OpenBenchmarking.orgCelsius, Fewer Is BetterIncompact3D 2020-09-17System Temperature MonitorGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1428425670Min: 64 / Avg: 74.91 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8

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: ReactorGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop60120180240300SE +/- 3.29, N = 3SE +/- 2.24, N = 12SE +/- 3.91, N = 9SE +/- 3.19, N = 9271.43196.07256.35251.69
MinAvgMaxGM-100059.070.676.0CompuLab Airtop348.075.688.0Karbon 70048.064.974.0CompuLab Airtop52.068.378.0OpenBenchmarking.orgCelsius, Fewer Is BetterJava Gradle BuildCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.275.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterJava Gradle BuildSystem 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: ExhaustiveGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop140280420560700SE +/- 0.59, N = 3SE +/- 0.82, N = 3SE +/- 0.17, N = 3SE +/- 4.46, N = 3631.69274.49384.66597.501. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature MonitorGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop20406080100Min: 60 / Avg: 68.49 / Max: 77Min: 47 / Avg: 71.52 / Max: 90Min: 47 / Avg: 64.45 / Max: 77Min: 53 / Avg: 87.42 / Max: 92
OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0System Temperature MonitorGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1428425670Min: 64 / Avg: 74.9 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8

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 ScoreGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop50010001500200025001372223614301351
OpenBenchmarking.orgCelsius, Fewer Is BetterAI Benchmark Alpha 0.1.2CPU Temperature MonitorGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop20406080100Min: 58 / Avg: 68.63 / Max: 76Min: 41 / Avg: 70.68 / Max: 90Min: 45 / Avg: 64 / Max: 76Min: 50 / Avg: 84.08 / Max: 96
OpenBenchmarking.orgCelsius, Fewer Is BetterAI Benchmark Alpha 0.1.2System Temperature MonitorGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1428425670Min: 64 / Avg: 73.64 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop20040060080010007321108685736

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop20040060080010006401128745615

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop306090120150SE +/- 0.01, N = 3SE +/- 0.23, N = 3SE +/- 10.16, N = 12SE +/- 1.20, N = 1287.8162.68130.5376.46
MinAvgMaxGM-100061.069.276.0CompuLab Airtop353.071.184.0Karbon 70052.064.874.0CompuLab Airtop57.074.394.0OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.075.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkSystem 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: EigenGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop160320480640800SE +/- 2.52, N = 3SE +/- 7.36, N = 3SE +/- 4.33, N = 3SE +/- 3.38, N = 37587653067371. (CXX) g++ options: -flto -pthread
MinAvgMaxGM-100063.071.379.0CompuLab Airtop360.077.896.0Karbon 70054.067.975.0CompuLab Airtop64.090.296.0OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.26CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.975.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.26System Temperature Monitor20406080100

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop2004006008001000SE +/- 6.44, N = 3SE +/- 8.54, N = 3SE +/- 10.93, N = 37848403357841. (CXX) g++ options: -flto -pthread
MinAvgMaxGM-100062.070.578.0CompuLab Airtop356.075.691.0Karbon 70050.066.074.0CompuLab Airtop58.088.596.0OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.26CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.975.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.26System 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 BenchmarkGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop0.18430.36860.55290.73720.9215SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.006, N = 30.5330.8190.5170.4661. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
MinAvgMaxGM-100058.067.577.0CompuLab Airtop353.072.289.0Karbon 70050.064.874.0CompuLab Airtop50.085.695.0OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2020.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.067.775.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2020.3System 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 SceneGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop80160240320400SE +/- 2.21, N = 3SE +/- 0.40, N = 3SE +/- 0.75, N = 3SE +/- 0.14, N = 3374.75177.73246.30391.501. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
MinAvgMaxGM-100062.069.179.0CompuLab Airtop358.077.294.0Karbon 70055.070.380.0CompuLab Airtop62.089.492.0OpenBenchmarking.orgCelsius, Fewer Is BetterYafaRay 3.4.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.975.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterYafaRay 3.4.1System 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 tau100.0GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop70140210280350SE +/- 1.33, N = 3SE +/- 0.58, N = 3SE +/- 0.67, N = 3SE +/- 3.84, N = 33442022653311. (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
MinAvgMaxGM-100061.069.076.0CompuLab Airtop357.076.588.0Karbon 70054.067.771.0CompuLab Airtop59.080.384.0OpenBenchmarking.orgCelsius, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.875.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24System 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: 200GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop60K120K180K240K300KSE +/- 2728.74, N = 3SE +/- 196.94, N = 3SE +/- 572.20, N = 3SE +/- 117.62, N = 32553192066222942382942761. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxGM-100062.069.278.0CompuLab Airtop357.075.993.0Karbon 70053.068.680.0CompuLab Airtop59.082.186.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.875.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13System 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_linearridgeregressionGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1.00582.01163.01744.02325.029SE +/- 0.03, N = 15SE +/- 0.03, N = 15SE +/- 0.06, N = 15SE +/- 0.01, N = 33.142.473.944.47
MinAvgMaxGM-100060.068.176.0CompuLab Airtop346.064.280.0Karbon 70049.059.873.0CompuLab Airtop55.064.884.0OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.064.475.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkSystem Temperature Monitor20406080100

BRL-CAD

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

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

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: FLOATGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop100M200M300M400M500MSE +/- 534147.70, N = 3SE +/- 825158.10, N = 3SE +/- 666152.61, N = 3SE +/- 478845.36, N = 3360309999.32471438878.81371786567.43370080894.801. (CC) gcc options: -O3 -march=native -lm
MinAvgMaxGM-100059.066.669.0CompuLab Airtop343.063.476.0Karbon 70046.057.262.0CompuLab Airtop53.065.372.0OpenBenchmarking.orgCelsius, Fewer Is BetterHierarchical INTegration 1.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterHierarchical INTegration 1.0System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

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 BenchmarkGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop90180270360450SE +/- 0.61, N = 3SE +/- 0.95, N = 3SE +/- 1.03, N = 3SE +/- 0.36, N = 3322.07420.29334.99276.24
MinAvgMaxGM-100060.072.876.0CompuLab Airtop353.078.487.0Karbon 70052.066.671.0CompuLab Airtop55.068.777.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumpy BenchmarkCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.975.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterNumpy BenchmarkSystem 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: MediumGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop0.95851.9172.87553.8344.7925SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 31.994.263.031.981. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxGM-100059.067.577.0CompuLab Airtop347.070.890.0Karbon 70047.063.777.0CompuLab Airtop48.085.092.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.575.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System 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: 1080pGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop0.03020.06040.09060.12080.151SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 30.0740.1340.1040.0681. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
MinAvgMaxGM-100061.071.279.0CompuLab Airtop355.081.495.0Karbon 70053.070.777.0CompuLab Airtop63.085.692.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.775.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8System 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 SkylineGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop70140210280350SE +/- 4.34, N = 3SE +/- 2.03, N = 3SE +/- 1.51, N = 3SE +/- 1.98, N = 3300.54132.85192.62282.80
MinAvgMaxGM-100059.069.677.0CompuLab Airtop350.071.988.0Karbon 70049.065.275.0CompuLab Airtop51.081.788.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.875.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1System Temperature Monitor20406080100

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 TestGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop60120180240300SE +/- 2.25, N = 3SE +/- 0.53, N = 3SE +/- 0.72, N = 3SE +/- 0.60, N = 3269.93160.39207.69255.82
MinAvgMaxGM-100059.068.774.0CompuLab Airtop334.063.074.0Karbon 70043.061.065.0CompuLab Airtop49.074.585.0OpenBenchmarking.orgCelsius, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.575.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestSystem 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: vklBenchmarkGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop306090120150SE +/- 0.39, N = 3SE +/- 0.98, N = 3SE +/- 0.29, N = 3SE +/- 0.05, N = 380.39141.9398.3953.75MIN: 1 / MAX: 345MIN: 1 / MAX: 580MIN: 1 / MAX: 378MIN: 1 / MAX: 212
MinAvgMaxGM-100061.072.278.0CompuLab Airtop356.080.295.0Karbon 70054.068.179.0CompuLab Airtop58.075.088.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9System 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: WritesGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop15K30K45K60K75KSE +/- 177.03, N = 15SE +/- 744.79, N = 3SE +/- 581.94, N = 6SE +/- 299.90, N = 420732678205012420104
OpenBenchmarking.orgCelsius, Fewer Is BetterApache Cassandra 3.11.4CPU Temperature MonitorGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1530456075Min: 59 / Avg: 68.16 / Max: 77Min: 47 / Avg: 66.39 / Max: 81Min: 47 / Avg: 62.24 / Max: 72Min: 52 / Avg: 69.31 / Max: 78
OpenBenchmarking.orgCelsius, Fewer Is BetterApache Cassandra 3.11.4System Temperature MonitorGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1428425670Min: 64 / Avg: 72.15 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8

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 3.1GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop0.92031.84062.76093.68124.6015SE +/- 0.00058, N = 3SE +/- 0.00092, N = 3SE +/- 0.00031, N = 3SE +/- 0.00891, N = 33.708314.090162.314992.710611. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
MinAvgMaxGM-100061.069.076.0CompuLab Airtop349.068.583.0Karbon 70048.059.365.0CompuLab Airtop57.073.378.0OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.775.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1System 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-bitGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop306090120150SE +/- 0.61, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 376.17114.5887.5563.51MIN: 47.76 / MAX: 187.8MIN: 72.92 / MAX: 273.76MIN: 56.85 / MAX: 197.5MIN: 42.21 / MAX: 145.151. (CC) gcc options: -pthread
OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0CPU Temperature MonitorGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1632486480Min: 59 / Avg: 69.19 / Max: 74Min: 49 / Avg: 70.26 / Max: 84Min: 48 / Avg: 60.17 / Max: 70Min: 50 / Avg: 62.03 / Max: 74
OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0System Temperature MonitorGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1428425670Min: 64 / Avg: 71.18 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8

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 CompileGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop50100150200250SE +/- 0.47, N = 3SE +/- 0.13, N = 3SE +/- 0.65, N = 3SE +/- 0.72, N = 3212.6598.51134.67217.41
MinAvgMaxGM-100061.068.376.0CompuLab Airtop354.073.888.0Karbon 70053.067.076.0CompuLab Airtop58.085.090.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Linux Kernel Compilation 5.4CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.475.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Linux Kernel Compilation 5.4System 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 AtomsGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop0.99931.99862.99793.99724.9965SE +/- 0.00286, N = 3SE +/- 0.00439, N = 3SE +/- 0.00379, N = 3SE +/- 0.00395, N = 34.178681.960102.809924.44112
MinAvgMaxGM-100063.071.382.0CompuLab Airtop361.079.4100.0Karbon 70055.069.579.0CompuLab Airtop65.088.996.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD 2.14CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.975.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD 2.14System 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: Inception V4GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop2M4M6M8M10MSE +/- 34182.46, N = 3SE +/- 1363.50, N = 3SE +/- 20514.24, N = 3SE +/- 604.55, N = 36011180326069743719777836207
MinAvgMaxGM-100061.069.077.0CompuLab Airtop357.077.596.0Karbon 70053.069.276.0CompuLab Airtop61.086.788.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.775.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System 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: 0GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop4080120160200SE +/- 0.11, N = 3SE +/- 0.27, N = 3SE +/- 0.22, N = 3SE +/- 0.73, N = 3190.8299.61134.33203.071. (CXX) g++ options: -O3 -fPIC
MinAvgMaxGM-100061.069.578.0CompuLab Airtop357.077.994.0Karbon 70054.068.881.0CompuLab Airtop60.086.391.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.675.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3System 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: Inception ResNet V2GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1.5M3M4.5M6M7.5MSE +/- 40177.63, N = 3SE +/- 1078.35, N = 3SE +/- 17665.88, N = 3SE +/- 615.40, N = 35441300294612739526607087053
MinAvgMaxGM-100061.069.278.0CompuLab Airtop357.077.595.0Karbon 70054.069.776.0CompuLab Airtop60.085.788.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.775.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System 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: DLSCGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop0.31730.63460.95191.26921.5865SE +/- 0.01, N = 15SE +/- 0.02, N = 3SE +/- 0.01, N = 9SE +/- 0.00, N = 30.671.411.050.67MIN: 0.59 / MAX: 0.97MIN: 1.31 / MAX: 1.69MIN: 0.95 / MAX: 1.29MIN: 0.65 / MAX: 0.68
MinAvgMaxGM-100061.068.377.0CompuLab Airtop358.074.591.0Karbon 70052.066.777.0CompuLab Airtop56.083.287.0OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender 2.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.075.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender 2.3System 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-v3GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1428425670SE +/- 0.28, N = 3SE +/- 0.09, N = 3SE +/- 0.53, N = 3SE +/- 0.36, N = 363.6844.4462.3163.20MIN: 58.94 / MAX: 77.62MIN: 43.87 / MAX: 110.57MIN: 50.28 / MAX: 75.48MIN: 60.21 / MAX: 126.581. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
MinAvgMaxGM-100061.069.180.0CompuLab Airtop357.075.694.0Karbon 70055.068.880.0CompuLab Airtop60.085.388.0OpenBenchmarking.orgCelsius, Fewer Is BetterMobile Neural Network 2020-09-17CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.775.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterMobile Neural Network 2020-09-17System Temperature Monitor20406080100

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1326395265SE +/- 0.24, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 351.8942.5859.9854.82MIN: 48.29 / MAX: 64.91MIN: 42.1 / MAX: 110.22MIN: 57.88 / MAX: 70.26MIN: 49.62 / MAX: 90.531. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop3691215SE +/- 0.024, N = 3SE +/- 0.007, N = 3SE +/- 0.008, N = 3SE +/- 0.028, N = 311.1176.5819.17010.775MIN: 9.82 / MAX: 23.66MIN: 6.13 / MAX: 44.44MIN: 8.87 / MAX: 21.4MIN: 10.62 / MAX: 12.651. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

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: MD5GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop200K400K600K800K1000KSE +/- 3391.63, N = 15SE +/- 10984.38, N = 4SE +/- 6589.74, N = 7SE +/- 115.39, N = 3430834836454594105399692-lbz21. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt
MinAvgMaxGM-100060.068.178.0CompuLab Airtop352.072.589.0Karbon 70050.065.378.0CompuLab Airtop53.083.488.0OpenBenchmarking.orgCelsius, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1System 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 CompileGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop4080120160200SE +/- 0.70, N = 3SE +/- 0.08, N = 3SE +/- 0.35, N = 3SE +/- 0.28, N = 3155.4091.59117.55173.46
MinAvgMaxGM-100060.068.676.0CompuLab Airtop352.073.088.0Karbon 70052.065.675.0CompuLab Airtop57.074.685.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.075.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1System 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: 100GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop30K60K90K120K150KSE +/- 87.22, N = 3SE +/- 164.54, N = 3SE +/- 614.60, N = 3SE +/- 192.70, N = 31261401028691463791472111. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxGM-100061.069.178.0CompuLab Airtop355.074.792.0Karbon 70053.068.078.0CompuLab Airtop58.080.284.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.675.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13System 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: Relative EntropyGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1224364860SE +/- 0.44, N = 12SE +/- 0.19, N = 15SE +/- 0.27, N = 15SE +/- 0.69, N = 449.5022.2229.8751.01
MinAvgMaxGM-100057.067.376.0CompuLab Airtop340.066.082.0Karbon 70043.061.072.0CompuLab Airtop46.067.874.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.575.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1System 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 FillGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop200K400K600K800K1000KSE +/- 7757.34, N = 5SE +/- 7973.52, N = 3SE +/- 11711.73, N = 15SE +/- 673.55, N = 36347398717385263584644591. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
MinAvgMaxGM-100061.069.176.0CompuLab Airtop351.071.483.0Karbon 70051.063.172.0CompuLab Airtop55.073.677.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.475.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6System 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: 19GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop612182430SE +/- 0.25, N = 3SE +/- 0.09, N = 3SE +/- 0.00, N = 3SE +/- 0.23, N = 323.325.712.523.71. (CC) gcc options: -O3 -pthread -lz -llzma
MinAvgMaxGM-100058.067.172.0CompuLab Airtop345.064.874.0Karbon 70046.057.462.0CompuLab Airtop48.062.668.0OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.4.5CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.4.5System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

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 SyncGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop2K4K6K8K10KSE +/- 40.71, N = 15SE +/- 4.06, N = 3SE +/- 68.24, N = 3SE +/- 4.93, N = 33473234491756241. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
MinAvgMaxGM-100055.057.662.0CompuLab Airtop346.049.955.0Karbon 70049.050.654.0CompuLab Airtop52.054.058.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.064.765.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6System Temperature Monitor20406080100

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 2GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop10M20M30M40M50MSE +/- 15338.08, N = 3SE +/- 180310.11, N = 3SE +/- 87756.94, N = 3SE +/- 360329.39, N = 336200967.748614938.038072622.236078067.2
MinAvgMaxGM-100057.064.674.0CompuLab Airtop344.059.878.0Karbon 70046.054.163.0CompuLab Airtop48.055.465.0OpenBenchmarking.orgCelsius, Fewer Is BetterBYTE Unix Benchmark 3.6CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterBYTE Unix Benchmark 3.6System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

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 SearchGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop306090120150SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3131.25100.19131.20117.871. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
MinAvgMaxGM-100059.067.872.0CompuLab Airtop352.069.680.0Karbon 70052.059.164.0CompuLab Airtop57.068.374.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed HMMer Search 3.3.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed HMMer Search 3.3.1System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

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: Bayesian ChangepointGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop20406080100SE +/- 1.25, N = 3SE +/- 0.49, N = 15SE +/- 0.22, N = 3SE +/- 0.85, N = 397.1443.0871.5682.88
MinAvgMaxGM-100060.069.978.0CompuLab Airtop354.075.899.0Karbon 70051.066.274.0CompuLab Airtop60.084.789.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.475.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1System 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 WritingGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop400K800K1200K1600K2000KSE +/- 8029.23, N = 8SE +/- 19030.80, N = 9SE +/- 15797.71, N = 3SE +/- 1361.04, N = 3808736192337315224598640661. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
MinAvgMaxGM-100055.065.774.0CompuLab Airtop345.069.986.0Karbon 70048.064.172.0CompuLab Airtop52.076.380.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
MinAvgMaxGM-100054.066.075.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6System 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: Rainbow Colors and PrismGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop0.34430.68861.03291.37721.7215SE +/- 0.01, N = 12SE +/- 0.01, N = 3SE +/- 0.02, N = 4SE +/- 0.00, N = 30.751.531.150.73MIN: 0.65 / MAX: 1.15MIN: 1.48 / MAX: 1.81MIN: 1.06 / MAX: 1.42MIN: 0.7 / MAX: 0.8
MinAvgMaxGM-100061.068.578.0CompuLab Airtop357.075.291.0Karbon 70053.067.980.0CompuLab Airtop59.086.890.0OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender 2.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.075.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender 2.3System Temperature Monitor20406080100

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 1080GM-1000Karbon 700CompuLab Airtop800160024003200400034425243718
MinAvgMaxGM-100055.069.472.0CompuLab Airtop334.035.538.0Karbon 70044.050.753.0CompuLab Airtop46.056.459.0OpenBenchmarking.orgCelsius, Fewer Is BetterGLmark2 2020.04CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterGLmark2 2020.04System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700153045607565.027.827.8

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 0GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop246810SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.097.776.354.521. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
MinAvgMaxGM-100061.071.178.0CompuLab Airtop356.082.890.0Karbon 70053.071.174.0CompuLab Airtop61.080.385.0OpenBenchmarking.orgCelsius, Fewer Is BetterVP9 libvpx Encoding 1.8.2CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.675.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterVP9 libvpx Encoding 1.8.2System 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 SynthesisGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop918273645SE +/- 0.19, N = 4SE +/- 0.13, N = 4SE +/- 0.46, N = 20SE +/- 0.36, N = 933.3823.7131.6837.791. (CC) gcc options: -O2 -std=c99
MinAvgMaxGM-100059.068.671.0CompuLab Airtop349.070.777.0Karbon 70048.060.765.0CompuLab Airtop50.060.564.0OpenBenchmarking.orgCelsius, Fewer Is BettereSpeak-NG Speech Engine 20200907CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BettereSpeak-NG Speech Engine 20200907System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

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: 200GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop20K40K60K80K100KSE +/- 906.54, N = 3SE +/- 476.82, N = 3SE +/- 595.64, N = 3SE +/- 108.07, N = 389424795821112501153421. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxGM-100061.069.079.0CompuLab Airtop354.072.991.0Karbon 70052.067.076.0CompuLab Airtop57.078.882.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.575.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13System 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 CompileGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop306090120150SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.36, N = 3SE +/- 0.08, N = 3114.8064.6983.93118.94
MinAvgMaxGM-100063.070.679.0CompuLab Airtop359.077.493.0Karbon 70057.070.280.0CompuLab Airtop64.083.892.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed PHP Compilation 7.4.2CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.175.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTimed PHP Compilation 7.4.2System 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: 2GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop306090120150SE +/- 1.76, N = 3SE +/- 0.11, N = 3SE +/- 0.57, N = 3SE +/- 0.45, N = 3110.7459.4177.81120.461. (CXX) g++ options: -O3 -fPIC
MinAvgMaxGM-100061.069.478.0CompuLab Airtop356.076.794.0Karbon 70053.069.081.0CompuLab Airtop60.086.492.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.375.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3System 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: yolov4-tinyGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1020304050SE +/- 0.16, N = 3SE +/- 0.19, N = 3SE +/- 0.04, N = 3SE +/- 0.15, N = 343.0829.0642.3638.90MIN: 41.28 / MAX: 53.54MIN: 28.14 / MAX: 101.73MIN: 41.91 / MAX: 50.86MIN: 38.21 / MAX: 47.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
MinAvgMaxGM-100061.069.178.0CompuLab Airtop356.075.286.0Karbon 70053.067.372.0CompuLab Airtop60.083.090.0OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20200916CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.475.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20200916System Temperature Monitor20406080100

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1122334455SE +/- 0.19, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 347.3328.5143.4946.60MIN: 44.74 / MAX: 59.62MIN: 27.85 / MAX: 37.31MIN: 41.8 / MAX: 45.89MIN: 46.17 / MAX: 50.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop612182430SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 322.5314.2323.8723.75MIN: 21.39 / MAX: 32.99MIN: 14 / MAX: 14.66MIN: 23.7 / MAX: 32.05MIN: 23.46 / MAX: 25.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop612182430SE +/- 0.04, N = 3SE +/- 0.22, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 323.5615.1924.1724.24MIN: 21.32 / MAX: 35.12MIN: 14.53 / MAX: 15.97MIN: 23.62 / MAX: 25MIN: 24 / MAX: 34.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop306090120150SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.27, N = 383.0766.28118.1281.92MIN: 81.47 / MAX: 93.06MIN: 65.89 / MAX: 74.14MIN: 117.8 / MAX: 125.35MIN: 81.13 / MAX: 85.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop612182430SE +/- 0.96, N = 3SE +/- 0.32, N = 3SE +/- 0.30, N = 3SE +/- 0.09, N = 323.9915.0022.4020.39MIN: 17.71 / MAX: 26.79MIN: 14.19 / MAX: 15.74MIN: 21.48 / MAX: 24.2MIN: 20.14 / MAX: 21.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop246810SE +/- 0.22, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 36.615.157.827.03MIN: 5.61 / MAX: 9.69MIN: 5.01 / MAX: 5.7MIN: 7.64 / MAX: 8.38MIN: 6.92 / MAX: 8.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop714212835SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 330.3319.0027.5727.06MIN: 28.89 / MAX: 41.86MIN: 18.81 / MAX: 19.51MIN: 27.32 / MAX: 28.23MIN: 26.9 / MAX: 28.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop612182430SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.05, N = 325.5416.2023.5023.05MIN: 24.15 / MAX: 35.43MIN: 15.74 / MAX: 23.82MIN: 23.31 / MAX: 24.17MIN: 22.62 / MAX: 24.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 TimeGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop20406080100SE +/- 1.25, N = 3SE +/- 0.51, N = 3SE +/- 0.32, N = 3SE +/- 0.03, N = 395.4860.8385.4399.221. RawTherapee, version 5.8, command line.
MinAvgMaxGM-100060.069.977.0CompuLab Airtop351.076.788.0Karbon 70050.066.374.0CompuLab Airtop57.078.185.0OpenBenchmarking.orgCelsius, Fewer Is BetterRawTherapeeCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.475.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterRawTherapeeSystem 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 FastGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop3691215SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 35.6212.058.615.331. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxGM-100060.068.178.0CompuLab Airtop354.073.791.0Karbon 70052.065.779.0CompuLab Airtop62.089.692.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.675.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System 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: NoGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop50100150200250SE +/- 0.02, N = 3SE +/- 0.03, N = 4SE +/- 0.02, N = 3SE +/- 0.09, N = 337.8812.63223.4647.27
MinAvgMaxGM-100050.051.060.0CompuLab Airtop342.045.063.0Karbon 70039.050.353.0CompuLab Airtop41.041.651.0OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700122436486054.027.827.8

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: raytraceGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop120240360480600SE +/- 0.67, N = 3SE +/- 0.88, N = 3505376479538
MinAvgMaxGM-100057.070.273.0CompuLab Airtop344.066.474.0Karbon 70046.060.863.0CompuLab Airtop48.059.762.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

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 PerformanceGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop5001000150020002500SE +/- 29.90, N = 15SE +/- 21.92, N = 14SE +/- 13.61, N = 15SE +/- 3.09, N = 31492.72539.91931.61048.41. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
MinAvgMaxGM-100058.067.276.0CompuLab Airtop346.071.193.0Karbon 70046.063.573.0CompuLab Airtop49.070.176.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenSSL 1.1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.375.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterOpenSSL 1.1.1System 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 Write - Average LatencyGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop0.7471.4942.2412.9883.735SE +/- 0.018, N = 3SE +/- 0.125, N = 12SE +/- 0.096, N = 15SE +/- 0.040, N = 61.9882.3721.1453.3201. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxGM-100058.058.960.0CompuLab Airtop342.046.955.0Karbon 70047.050.055.0CompuLab Airtop49.050.452.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor1632486480
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read WriteGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop2004006008001000SE +/- 4.74, N = 3SE +/- 20.79, N = 12SE +/- 59.06, N = 15SE +/- 3.58, N = 65034349413011. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

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 4KGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop3691215SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 36.5312.369.006.101. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxGM-100061.069.680.0CompuLab Airtop356.076.791.0Karbon 70053.068.777.0CompuLab Airtop59.084.290.0OpenBenchmarking.orgCelsius, Fewer Is Betterx265 3.4CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.575.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterx265 3.4System 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: BlowfishGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop3K6K9K12K15KSE +/- 60.95, N = 13SE +/- 227.62, N = 4SE +/- 103.18, N = 10765415272112276233-lbz21. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt
MinAvgMaxGM-100060.068.276.0CompuLab Airtop350.072.988.0Karbon 70048.064.774.0CompuLab Airtop52.073.778.0OpenBenchmarking.orgCelsius, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.375.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1System 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: python_startupGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop3691215SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 39.016.828.5210.20
MinAvgMaxGM-100057.065.668.0CompuLab Airtop341.052.660.0Karbon 70044.054.058.0CompuLab Airtop46.052.956.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

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 6.0.16GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop160K320K480K640K800KSE +/- 3781.40, N = 3SE +/- 4773.08, N = 3SE +/- 6113.88, N = 3SE +/- 4325.50, N = 3458524.51751370.01570969.82346852.161. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
MinAvgMaxGM-100058.065.373.0CompuLab Airtop350.068.682.0Karbon 70048.061.470.0CompuLab Airtop46.065.773.0OpenBenchmarking.orgCelsius, Fewer Is BetterKeyDB 6.0.16CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterKeyDB 6.0.16System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

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: 100GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop12K24K36K48K60KSE +/- 486.77, N = 7SE +/- 402.90, N = 3SE +/- 777.23, N = 4SE +/- 90.44, N = 3442453930954733575961. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxGM-100060.068.978.0CompuLab Airtop351.072.890.0Karbon 70050.066.175.0CompuLab Airtop56.076.480.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.075.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13System 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 MobileGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop80K160K240K320K400KSE +/- 4505.57, N = 4SE +/- 758.89, N = 3SE +/- 2829.30, N = 3SE +/- 14.01, N = 3321246199708262007388319
MinAvgMaxGM-100061.069.278.0CompuLab Airtop357.076.791.0Karbon 70054.069.178.0CompuLab Airtop61.085.288.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System 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: Windowed GaussianGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop612182430SE +/- 0.28, N = 14SE +/- 0.15, N = 5SE +/- 0.20, N = 15SE +/- 0.39, N = 426.1212.4516.8127.59
MinAvgMaxGM-100059.068.077.0CompuLab Airtop349.070.487.0Karbon 70048.062.874.0CompuLab Airtop50.071.078.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.975.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1System 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: SqueezeNetGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop120K240K360K480K600KSE +/- 5447.42, N = 4SE +/- 69.61, N = 3SE +/- 3356.24, N = 3SE +/- 9.24, N = 3406369226512298283542732
MinAvgMaxGM-100060.068.978.0CompuLab Airtop357.076.693.0Karbon 70053.068.575.0CompuLab Airtop62.086.188.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System Temperature Monitor20406080100

Facebook RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop9M18M27M36M45MSE +/- 338773.40, N = 4SE +/- 49809.36, N = 3SE +/- 368380.75, N = 3SE +/- 86603.84, N = 3246163314346559631537972186250431. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
MinAvgMaxGM-100062.069.380.0CompuLab Airtop353.073.091.0Karbon 70052.067.179.0CompuLab Airtop56.082.787.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.375.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6System Temperature Monitor20406080100

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 TimeGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop20406080100SE +/- 0.89, N = 3SE +/- 0.49, N = 3SE +/- 0.35, N = 3SE +/- 0.60, N = 375.7945.8458.5775.99
MinAvgMaxGM-100061.072.277.0CompuLab Airtop356.080.192.0Karbon 70052.067.075.0CompuLab Airtop62.079.090.0OpenBenchmarking.orgCelsius, Fewer Is BetterHuginCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.175.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterHuginSystem 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: ThoroughGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop20406080100SE +/- 1.07, N = 3SE +/- 0.49, N = 3SE +/- 0.72, N = 3SE +/- 0.01, N = 376.9833.2346.0972.571. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxGM-100059.067.976.0CompuLab Airtop344.066.882.0Karbon 70045.061.172.0CompuLab Airtop49.075.180.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0System Temperature Monitor20406080100

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPUGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop3691215SE +/- 0.22450, N = 15SE +/- 0.04455, N = 15SE +/- 0.04542, N = 15SE +/- 0.05158, N = 49.533244.497386.273428.64328MIN: 6.67MIN: 3.82MIN: 5.45MIN: 8.211. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.068.278.0CompuLab Airtop355.072.090.0Karbon 70052.065.881.0CompuLab Airtop56.079.790.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.475.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System 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 FastGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1122334455SE +/- 0.24, N = 14SE +/- 0.46, N = 4SE +/- 0.34, N = 14SE +/- 0.01, N = 323.5447.2134.6921.551. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxGM-100061.068.278.0CompuLab Airtop355.072.590.0Karbon 70052.066.679.0CompuLab Airtop63.087.192.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.375.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System Temperature Monitor20406080100

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop80K160K240K320K400KSE +/- 4770.18, N = 3SE +/- 67.72, N = 3SE +/- 2286.50, N = 3SE +/- 116.90, N = 3279524156496205126355185
MinAvgMaxGM-100061.069.378.0CompuLab Airtop357.076.993.0Karbon 70054.069.876.0CompuLab Airtop61.084.287.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System Temperature Monitor20406080100

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop80K160K240K320K400KSE +/- 4495.68, N = 3SE +/- 175.70, N = 3SE +/- 2261.01, N = 3SE +/- 22.91, N = 3278393153645202055367036
MinAvgMaxGM-100061.069.278.0CompuLab Airtop357.076.894.0Karbon 70054.069.777.0CompuLab Airtop61.084.987.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System 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: 2to3GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop80160240320400SE +/- 0.67, N = 3352264332375
MinAvgMaxGM-100058.067.872.0CompuLab Airtop350.061.178.0Karbon 70049.058.765.0CompuLab Airtop52.060.566.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1428425670SE +/- 1.11, N = 3SE +/- 0.52, N = 3SE +/- 0.73, N = 3SE +/- 0.09, N = 364.7242.1460.8160.10
MinAvgMaxGM-100060.068.876.0CompuLab Airtop351.076.486.0Karbon 70049.067.073.0CompuLab Airtop56.076.385.0OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.875.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkSystem 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: u8s8f32 - Engine: CPUGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1632486480SE +/- 0.33, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.24, N = 367.7727.7541.1373.58MIN: 59.54MIN: 25.65MIN: 35.58MIN: 72.881. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.068.677.0CompuLab Airtop356.075.188.0Karbon 70053.067.676.0CompuLab Airtop58.080.385.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.175.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPUGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop306090120150SE +/- 0.53, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.45, N = 3114.2967.69108.94116.98MIN: 99.97MIN: 65.58MIN: 99.88MIN: 114.081. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.068.174.0CompuLab Airtop356.073.388.0Karbon 70052.065.875.0CompuLab Airtop56.078.792.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.875.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System 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: MemorialGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop246810SE +/- 0.04, N = 6SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 33.707.535.273.50
MinAvgMaxGM-100061.068.677.0CompuLab Airtop357.073.889.0Karbon 70054.067.179.0CompuLab Airtop60.088.393.0OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.2.0System 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: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop140280420560700SE +/- 8.43, N = 3SE +/- 2.57, N = 3SE +/- 2.70, N = 3SE +/- 6.00, N = 9670.34322.59539.08605.87MIN: 612.85MIN: 310.92MIN: 524.69MIN: 563.771. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.068.677.0CompuLab Airtop355.073.388.0Karbon 70053.067.682.0CompuLab Airtop56.084.494.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.875.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System 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: yolov4-tinyGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1530456075SE +/- 0.01, N = 3SE +/- 0.19, N = 3SE +/- 0.28, N = 3SE +/- 0.03, N = 316.288.5065.8720.01MIN: 15.64 / MAX: 17.64MIN: 8.02 / MAX: 9.19MIN: 50.88 / MAX: 68.67MIN: 15.5 / MAX: 21.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
MinAvgMaxGM-100059.066.870.0CompuLab Airtop352.069.480.0Karbon 70050.058.165.0CompuLab Airtop55.058.869.0OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20200916CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20200916System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1122334455SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 313.223.7550.2214.09MIN: 12.84 / MAX: 29.57MIN: 49.9 / MAX: 50.44MIN: 13.67 / MAX: 16.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop612182430SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 38.172.1125.928.70MIN: 7.83 / MAX: 8.81MIN: 25.54 / MAX: 26.26MIN: 8.52 / MAX: 10.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop612182430SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 35.801.6823.856.17MIN: 5.62 / MAX: 13.86MIN: 23.55 / MAX: 24.04MIN: 6.05 / MAX: 7.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop306090120150SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 333.338.31151.4633.74MIN: 32.53 / MAX: 40.22MIN: 150.54 / MAX: 152.37MIN: 33.2 / MAX: 36.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop612182430SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 37.843.2223.548.48MIN: 7.62 / MAX: 10.98MIN: 3.2 / MAX: 3.32MIN: 23.24 / MAX: 23.83MIN: 8.04 / MAX: 10.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop0.54231.08461.62692.16922.7115SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.31, N = 31.040.612.411.00MIN: 0.94 / MAX: 1.7MIN: 0.6 / MAX: 0.63MIN: 1.77 / MAX: 5.23MIN: 0.99 / MAX: 1.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop48121620SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 35.232.6416.475.70MIN: 5.06 / MAX: 5.95MIN: 2.61 / MAX: 2.67MIN: 16.27 / MAX: 16.89MIN: 5.57 / MAX: 6.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop3691215SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.69, N = 3SE +/- 0.00, N = 33.101.489.263.32MIN: 3 / MAX: 4.16MIN: 1.46 / MAX: 1.51MIN: 8.48 / MAX: 11.1MIN: 3.26 / MAX: 4.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop3691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.55, N = 3SE +/- 0.00, N = 32.381.3010.102.59MIN: 2.24 / MAX: 4.75MIN: 1.29 / MAX: 1.36MIN: 7.39 / MAX: 12.25MIN: 2.52 / MAX: 4.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop3691215SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.22, N = 3SE +/- 0.00, N = 33.391.6610.193.73MIN: 3.29 / MAX: 4.22MIN: 1.65 / MAX: 1.69MIN: 9.74 / MAX: 10.79MIN: 3.65 / MAX: 4.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop246810SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 33.001.438.173.18MIN: 2.89 / MAX: 3.84MIN: 1.4 / MAX: 9.39MIN: 7.83 / MAX: 8.44MIN: 3.11 / MAX: 4.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop612182430SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.29, N = 3SE +/- 0.01, N = 39.314.5926.1910.74MIN: 9 / MAX: 10.28MIN: 4.54 / MAX: 12.63MIN: 23.7 / MAX: 35.85MIN: 9.23 / MAX: 12.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop612182430SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.17, N = 3SE +/- 0.02, N = 310.273.6327.5812.35MIN: 9.98 / MAX: 10.78MIN: 3.57 / MAX: 3.76MIN: 27.17 / MAX: 31.88MIN: 11.58 / MAX: 15.041. (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: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPUGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop3691215SE +/- 0.15350, N = 13SE +/- 0.06779, N = 4SE +/- 0.14132, N = 12SE +/- 0.06708, N = 310.809215.046736.6180310.29300MIN: 6.79MIN: 4.56MIN: 4.86MIN: 10.021. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.068.478.0CompuLab Airtop356.072.490.0Karbon 70052.067.483.0CompuLab Airtop58.080.490.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.075.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

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 CommandsGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1428425670SE +/- 0.41, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.17, N = 360.3744.9756.4559.831. git version 2.27.0
MinAvgMaxGM-100060.070.874.0CompuLab Airtop353.074.579.0Karbon 70051.062.465.0CompuLab Airtop58.069.673.0OpenBenchmarking.orgCelsius, Fewer Is BetterGitCPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterGitSystem Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

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 SceneGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1020304050SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.30, N = 13SE +/- 0.01, N = 319.7446.1131.9320.17
MinAvgMaxGM-100061.069.378.0CompuLab Airtop359.073.793.0Karbon 70056.069.787.0CompuLab Airtop64.087.394.0OpenBenchmarking.orgCelsius, Fewer Is Betterrays1bench 2020-01-09CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.475.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterrays1bench 2020-01-09System 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 FastGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop510152025SE +/- 0.15, N = 4SE +/- 0.12, N = 3SE +/- 0.24, N = 4SE +/- 0.00, N = 310.3822.2116.009.741. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxGM-100061.068.278.0CompuLab Airtop355.073.190.0Karbon 70052.066.279.0CompuLab Airtop63.088.992.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System Temperature Monitor20406080100

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPUGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop3691215SE +/- 0.13560, N = 12SE +/- 0.02496, N = 3SE +/- 0.11012, N = 12SE +/- 0.09759, N = 312.820305.642157.7204813.23760MIN: 8.95MIN: 4.78MIN: 6.41MIN: 12.921. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.068.879.0CompuLab Airtop355.070.591.0Karbon 70052.067.681.0CompuLab Airtop57.077.384.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.076.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System 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: MediumGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop510152025SE +/- 0.15, N = 3SE +/- 0.12, N = 3SE +/- 0.23, N = 3SE +/- 0.00, N = 39.0119.0213.818.631. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxGM-100060.068.078.0CompuLab Airtop354.072.890.0Karbon 70051.065.478.0CompuLab Airtop62.088.992.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.375.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 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 LatencyGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop306090120150SE +/- 0.31, N = 3SE +/- 0.25, N = 3SE +/- 2.36, N = 15SE +/- 0.13, N = 368.9083.7367.17156.871. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxGM-100058.059.060.0CompuLab Airtop342.043.746.0Karbon 70043.045.449.0CompuLab Airtop48.049.150.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor1632486480
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read WriteGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop160320480640800SE +/- 3.31, N = 3SE +/- 1.80, N = 3SE +/- 23.33, N = 15SE +/- 0.26, N = 37265977563191. (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 Only - Average LatencyGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop0.01060.02120.03180.04240.053SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 150.0400.0300.0380.0471. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxGM-100060.064.570.0CompuLab Airtop354.063.274.0Karbon 70052.057.863.0CompuLab Airtop52.058.869.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read OnlyGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop7K14K21K28K35KSE +/- 159.81, N = 3SE +/- 56.86, N = 3SE +/- 116.17, N = 3SE +/- 191.07, N = 15248623355426544210921. (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 LatencyGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop0.10060.20120.30180.40240.503SE +/- 0.003, N = 15SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.006, N = 30.3900.1690.2210.4471. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxGM-100057.065.274.0CompuLab Airtop342.058.977.0Karbon 70046.057.167.0CompuLab Airtop48.058.969.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.064.175.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0System Temperature Monitor20406080100

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read OnlyGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop60K120K180K240K300KSE +/- 1251.67, N = 15SE +/- 2332.06, N = 3SE +/- 470.82, N = 3SE +/- 1589.17, N = 31283732965452266751119151. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

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: goGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop60120180240300SE +/- 1.67, N = 3270200255279
MinAvgMaxGM-100059.065.573.0CompuLab Airtop353.076.684.0Karbon 70050.057.967.0CompuLab Airtop55.060.669.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

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 DocumentGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1020304050SE +/- 0.48, N = 6SE +/- 0.07, N = 3SE +/- 0.34, N = 6SE +/- 0.31, N = 339.6121.6928.1942.83
MinAvgMaxGM-100061.070.679.0CompuLab Airtop354.075.691.0Karbon 70051.068.079.0CompuLab Airtop59.082.489.0OpenBenchmarking.orgCelsius, Fewer Is BetterOCRMyPDF 10.3.1+dfsgCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.775.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterOCRMyPDF 10.3.1+dfsgSystem 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: H2GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop7001400210028003500SE +/- 39.15, N = 20SE +/- 28.32, N = 20SE +/- 41.03, N = 20SE +/- 26.08, N = 203339292832673456
MinAvgMaxGM-100060.067.775.0CompuLab Airtop351.064.683.0Karbon 70050.058.667.0CompuLab Airtop53.061.971.0OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.275.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1System 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 1D - Data Type: u8s8f32 - Engine: CPUGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1.26522.53043.79565.06086.326SE +/- 0.10124, N = 15SE +/- 0.00614, N = 4SE +/- 0.03957, N = 15SE +/- 0.01843, N = 44.840051.889892.555645.62321MIN: 3.33MIN: 1.55MIN: 1.92MIN: 5.551. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.068.479.0CompuLab Airtop357.072.091.0Karbon 70053.067.180.0CompuLab Airtop58.076.784.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.575.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System 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: 1080pGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop0.66221.32441.98662.64883.311SE +/- 0.025, N = 3SE +/- 0.013, N = 3SE +/- 0.028, N = 3SE +/- 0.002, N = 31.4462.9432.1151.2901. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
MinAvgMaxGM-100061.069.380.0CompuLab Airtop357.072.990.0Karbon 70053.067.679.0CompuLab Airtop61.086.392.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.075.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8System 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 TestGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop10K20K30K40K50KSE +/- 339.20, N = 4SE +/- 370.06, N = 3SE +/- 59.48, N = 3SE +/- 77.43, N = 3241104875233135226731. (CXX) g++ options: -pipe -lpthread
MinAvgMaxGM-100061.069.276.0CompuLab Airtop357.075.893.0Karbon 70054.068.275.0CompuLab Airtop60.080.385.0OpenBenchmarking.orgCelsius, Fewer Is Better7-Zip Compression 16.02CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.775.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Better7-Zip Compression 16.02System 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, Lossless, Highest CompressionGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1122334455SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.05, N = 346.9834.8043.0345.711. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxGM-100059.070.376.0CompuLab Airtop349.068.879.0Karbon 70049.060.867.0CompuLab Airtop52.066.071.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.067.975.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1System 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 BenchmarkGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop816243240SE +/- 0.32, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 327.2633.3527.1228.321. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
MinAvgMaxGM-100059.069.974.0CompuLab Airtop350.074.482.0Karbon 70048.062.768.0CompuLab Airtop51.068.574.0OpenBenchmarking.orgCelsius, Fewer Is BetterLibRaw 0.20CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.069.675.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterLibRaw 0.20System 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 4KGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop306090120150SE +/- 1.39, N = 4SE +/- 1.02, N = 3SE +/- 0.28, N = 3SE +/- 0.31, N = 392.95157.41100.7982.58MIN: 77.22 / MAX: 122.95MIN: 139.25 / MAX: 172.94MIN: 89.28 / MAX: 105.54MIN: 76.45 / MAX: 95.481. (CC) gcc options: -pthread
MinAvgMaxGM-100059.068.776.0CompuLab Airtop347.070.682.0Karbon 70047.062.572.0CompuLab Airtop48.066.877.0OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.075.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0System 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: TradesoapGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop2K4K6K8K10KSE +/- 85.52, N = 20SE +/- 30.62, N = 13SE +/- 43.34, N = 4SE +/- 48.38, N = 46680369251727803
MinAvgMaxGM-100059.068.676.0CompuLab Airtop349.068.383.0Karbon 70048.060.469.0CompuLab Airtop51.065.874.0OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.069.575.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1System 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 5GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop714212835SE +/- 0.20, N = 8SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 319.6528.6122.8717.211. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
MinAvgMaxGM-100061.070.877.0CompuLab Airtop357.078.488.0Karbon 70053.067.673.0CompuLab Airtop59.076.182.0OpenBenchmarking.orgCelsius, Fewer Is BetterVP9 libvpx Encoding 1.8.2CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.675.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterVP9 libvpx Encoding 1.8.2System 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 1080pGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1224364860SE +/- 0.37, N = 13SE +/- 0.30, N = 5SE +/- 0.41, N = 8SE +/- 0.09, N = 331.4254.9141.4427.911. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxGM-100061.069.078.0CompuLab Airtop356.074.590.0Karbon 70053.068.377.0CompuLab Airtop60.081.889.0OpenBenchmarking.orgCelsius, Fewer Is Betterx265 3.4CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.076.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterx265 3.4System 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 CompileGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop816243240SE +/- 0.35, N = 7SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 332.1220.9126.4336.06
MinAvgMaxGM-100060.069.276.0CompuLab Airtop352.071.285.0Karbon 70052.063.872.0CompuLab Airtop58.071.882.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Apache Compilation 2.4.41CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.675.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Apache Compilation 2.4.41System 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: Seek RandomGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop48121620SE +/- 0.070, N = 15SE +/- 0.183, N = 15SE +/- 0.156, N = 15SE +/- 0.024, N = 75.9288.93713.6735.4791. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxGM-100058.065.071.0CompuLab Airtop350.068.678.0Karbon 70048.060.965.0CompuLab Airtop47.057.866.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

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 PerformanceGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop2K4K6K8K10K65788333694450001. (CC) gcc options: -O3
MinAvgMaxGM-100049.059.262.0CompuLab Airtop343.060.065.0Karbon 70038.049.451.0CompuLab Airtop40.049.652.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostMark 1.51CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPostMark 1.51System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700122436486054.027.827.8

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: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1.33032.66063.99095.32126.6515SE +/- 0.05068, N = 15SE +/- 0.00686, N = 4SE +/- 0.03701, N = 15SE +/- 0.02910, N = 45.912392.561133.623755.48320MIN: 4.17MIN: 2.22MIN: 2.86MIN: 5.231. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.068.979.0CompuLab Airtop356.072.294.0Karbon 70053.067.983.0CompuLab Airtop60.079.790.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.275.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System 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 FastGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop20406080100SE +/- 0.87, N = 15SE +/- 1.01, N = 7SE +/- 0.80, N = 15SE +/- 0.02, N = 444.4591.4667.5339.001. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxGM-100061.068.678.0CompuLab Airtop355.073.191.0Karbon 70053.066.480.0CompuLab Airtop63.084.892.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.375.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System 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: Sequential FillGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop300K600K900K1200K1500KSE +/- 13114.25, N = 15SE +/- 12373.00, N = 15SE +/- 13395.98, N = 5SE +/- 2320.66, N = 4981091132156610335415573021. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
MinAvgMaxGM-100062.068.877.0CompuLab Airtop354.072.484.0Karbon 70052.064.972.0CompuLab Airtop58.072.578.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.176.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6System Temperature Monitor20406080100

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop50100150200250SE +/- 0.93, N = 3SE +/- 0.47, N = 3SE +/- 0.50, N = 3SE +/- 2.10, N = 3231.39143.89251.01167.48MIN: 223.49MIN: 141.15MIN: 247.27MIN: 163.71. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.068.376.0CompuLab Airtop356.072.284.0Karbon 70053.066.574.0CompuLab Airtop60.079.895.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.475.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System 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: regex_compileGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop4080120160200SE +/- 0.58, N = 3186138178196
MinAvgMaxGM-100057.067.571.0CompuLab Airtop342.063.470.0Karbon 70045.057.360.0CompuLab Airtop47.057.461.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

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: TradebeansGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop11002200330044005500SE +/- 30.71, N = 5SE +/- 42.33, N = 20SE +/- 92.26, N = 16SE +/- 64.08, N = 53621279139564944
MinAvgMaxGM-100060.068.975.0CompuLab Airtop352.066.984.0Karbon 70050.058.368.0CompuLab Airtop52.062.972.0OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.075.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1System Temperature Monitor20406080100

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: YesGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop20406080100SE +/- 0.010, N = 3SE +/- 0.012, N = 7SE +/- 0.027, N = 3SE +/- 0.167, N = 316.8685.60179.33519.927
MinAvgMaxGM-100055.055.556.0CompuLab Airtop337.039.353.0Karbon 70043.054.457.0CompuLab Airtop45.046.555.0OpenBenchmarking.orgCelsius, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818CPU Temperature Monitor1632486480
OpenBenchmarking.orgCelsius, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700153045607565.027.827.8

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: MediumGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop3691215SE +/- 0.16, N = 15SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.01, N = 49.918.526.2011.141. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxGM-100059.068.576.0CompuLab Airtop342.063.080.0Karbon 70044.058.869.0CompuLab Airtop48.064.274.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.075.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0System 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 1080pGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop140280420560700SE +/- 2.32, N = 3SE +/- 2.55, N = 3SE +/- 1.11, N = 3SE +/- 1.02, N = 3354.51644.69450.53307.34MIN: 226.96 / MAX: 562.8MIN: 479.82 / MAX: 947.65MIN: 341.02 / MAX: 685.68MIN: 221.1 / MAX: 501.291. (CC) gcc options: -pthread
OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0CPU Temperature MonitorGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1632486480Min: 61 / Avg: 69.66 / Max: 76Min: 49 / Avg: 69.57 / Max: 87Min: 50 / Avg: 61.32 / Max: 74Min: 50 / Avg: 61.85 / Max: 84
OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0System Temperature MonitorGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1428425670Min: 64 / Avg: 74.79 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8Min: 27.8 / Avg: 27.8 / Max: 27.8

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: pathlibGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop612182430SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 319.314.318.223.0
MinAvgMaxGM-100057.068.471.0CompuLab Airtop345.064.870.0Karbon 70046.058.661.0CompuLab Airtop49.058.761.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

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: 3GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop8001600240032004000SE +/- 4.91, N = 3SE +/- 2.03, N = 3SE +/- 3.71, N = 3SE +/- 2.72, N = 33601.72955.51609.02511.41. (CC) gcc options: -O3 -pthread -lz -llzma
MinAvgMaxGM-100057.066.473.0CompuLab Airtop344.059.872.0Karbon 70045.054.157.0CompuLab Airtop47.057.366.0OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.4.5CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.4.5System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop714212835SE +/- 0.20, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 328.9322.4327.2521.42
MinAvgMaxGM-100061.068.474.0CompuLab Airtop351.067.879.0Karbon 70052.060.968.0CompuLab Airtop57.066.469.0OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkCPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkSystem Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

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: django_templateGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1224364860SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.00, N = 352.338.949.355.2
MinAvgMaxGM-100057.067.070.0CompuLab Airtop340.062.467.0Karbon 70044.056.560.0CompuLab Airtop46.056.259.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

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: Random ReadGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop3691215SE +/- 0.022, N = 8SE +/- 0.090, N = 15SE +/- 0.166, N = 15SE +/- 0.011, N = 84.7487.66310.2294.1521. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxGM-100057.063.670.0CompuLab Airtop347.065.377.0Karbon 70046.058.163.0CompuLab Airtop47.055.464.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

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: blosclzGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop2K4K6K8K10KSE +/- 11.16, N = 4SE +/- 6.83, N = 3SE +/- 13.18, N = 3SE +/- 27.03, N = 38600.410397.86843.66601.61. (CXX) g++ options: -rdynamic
MinAvgMaxGM-100062.069.474.0CompuLab Airtop349.064.071.0Karbon 70049.058.562.0CompuLab Airtop58.068.174.0OpenBenchmarking.orgCelsius, Fewer Is BetterC-Blosc 2.0 Beta 5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.175.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterC-Blosc 2.0 Beta 5System 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 2020-06-28GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop714212835SE +/- 0.17, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.15, N = 329.1021.5827.4625.331. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
MinAvgMaxGM-100058.068.070.0CompuLab Airtop347.065.671.0Karbon 70047.057.360.0CompuLab Airtop49.058.362.0OpenBenchmarking.orgCelsius, Fewer Is BetterRNNoise 2020-06-28CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterRNNoise 2020-06-28System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

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: pickle_pure_pythonGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop110220330440550SE +/- 2.73, N = 3462339434489
MinAvgMaxGM-100057.067.171.0CompuLab Airtop341.061.469.0Karbon 70044.056.560.0CompuLab Airtop46.056.860.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop306090120150SE +/- 0.06, N = 3SE +/- 0.33, N = 3122.089.9114.0136.0
MinAvgMaxGM-100057.067.072.0CompuLab Airtop347.069.576.0Karbon 70047.058.464.0CompuLab Airtop50.060.464.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

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 ImagesGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop714212835SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 327.1120.2725.6527.89
MinAvgMaxGM-100059.069.673.0CompuLab Airtop344.063.573.0Karbon 70047.058.163.0CompuLab Airtop53.063.667.0OpenBenchmarking.orgCelsius, Fewer Is BetterTesseract OCR 4.1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterTesseract OCR 4.1.1System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

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: chaosGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop306090120150SE +/- 1.00, N = 3SE +/- 0.06, N = 3117.085.9109.0121.0
MinAvgMaxGM-100058.067.672.0CompuLab Airtop349.072.479.0Karbon 70047.059.062.0CompuLab Airtop50.060.564.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop714212835SE +/- 0.03, N = 3SE +/- 0.19, N = 3SE +/- 0.00, N = 3SE +/- 0.17, N = 328.421.427.128.0
MinAvgMaxGM-100057.067.671.0CompuLab Airtop343.063.670.0Karbon 70045.057.561.0CompuLab Airtop47.057.761.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop306090120150SE +/- 0.33, N = 3SE +/- 0.03, N = 3116.085.9109.0125.0
MinAvgMaxGM-100057.066.070.0CompuLab Airtop343.065.973.0Karbon 70045.056.861.0CompuLab Airtop47.057.161.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop306090120150SE +/- 0.33, N = 3138103131140
MinAvgMaxGM-100058.067.972.0CompuLab Airtop347.066.875.0Karbon 70047.058.162.0CompuLab Airtop49.059.864.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

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 v2GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop80160240320400SE +/- 0.15, N = 3SE +/- 0.57, N = 3SE +/- 0.91, N = 3SE +/- 0.12, N = 3369.91283.96369.09301.68MIN: 368.82 / MAX: 373.15MIN: 282.43 / MAX: 316.3MIN: 367.26 / MAX: 372.62MIN: 300.63 / MAX: 304.861. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
MinAvgMaxGM-100059.069.874.0CompuLab Airtop349.070.380.0Karbon 70048.058.063.0CompuLab Airtop53.063.767.0OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.2.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.066.475.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.2.3System 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 PNGGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop612182430SE +/- 0.42, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.26, N = 324.6318.2222.5626.721. rsvg-convert version 2.50.1
MinAvgMaxGM-100061.069.073.0CompuLab Airtop353.068.477.0Karbon 70052.061.265.0CompuLab Airtop57.064.869.0OpenBenchmarking.orgCelsius, Fewer Is BetterlibrsvgCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.069.875.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterlibrsvgSystem Temperature Monitor20406080100

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 v1.1GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop80160240320400SE +/- 0.13, N = 3SE +/- 0.04, N = 3SE +/- 0.14, N = 3SE +/- 0.04, N = 3362.13269.28343.22292.59MIN: 361.7 / MAX: 362.7MIN: 268.32 / MAX: 274.07MIN: 342.72 / MAX: 356.39MIN: 291.2 / MAX: 293.741. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
MinAvgMaxGM-100060.069.974.0CompuLab Airtop349.065.576.0Karbon 70048.055.860.0CompuLab Airtop52.062.866.0OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.2.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.575.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.2.3System Temperature Monitor20406080100

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 RNAGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop3691215SE +/- 0.101, N = 11SE +/- 0.018, N = 5SE +/- 0.024, N = 4SE +/- 0.091, N = 411.2688.62812.44512.3151. (CC) gcc options: -std=c99 -O3 -lm -lpthread
MinAvgMaxGM-100061.070.578.0CompuLab Airtop359.075.991.0Karbon 70054.065.372.0CompuLab Airtop61.073.985.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed MAFFT Alignment 7.471CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.975.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTimed MAFFT Alignment 7.471System 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, LosslessGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop510152025SE +/- 0.01, N = 3SE +/- 0.00, N = 4SE +/- 0.01, N = 3SE +/- 0.00, N = 321.2016.0219.9721.031. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxGM-100059.066.872.0CompuLab Airtop351.065.878.0Karbon 70050.058.965.0CompuLab Airtop54.062.366.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

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 FillGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1020304050SE +/- 0.33, N = 5SE +/- 0.49, N = 3SE +/- 0.15, N = 3SE +/- 0.18, N = 327.2033.5543.6644.661. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxGM-100058.064.970.0CompuLab Airtop351.066.781.0Karbon 70049.057.262.0CompuLab Airtop47.051.058.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential FillGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1224364860SE +/- 0.41, N = 5SE +/- 0.78, N = 3SE +/- 0.15, N = 3SE +/- 0.07, N = 332.552.840.519.81. (CXX) g++ options: -O3 -lsnappy -lpthread

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 ProteinGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop246810SE +/- 0.047, N = 15SE +/- 0.062, N = 10SE +/- 0.006, N = 8SE +/- 0.061, N = 154.8706.7865.1162.4881. (CXX) g++ options: -O3 -pthread -lm
MinAvgMaxGM-100062.068.578.0CompuLab Airtop359.071.191.0Karbon 70054.062.272.0CompuLab Airtop59.072.382.0OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.069.375.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020System Temperature Monitor20406080100

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 DynamicsGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop510152025SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.08, N = 322.1516.6821.0322.55
MinAvgMaxGM-100063.073.877.0CompuLab Airtop359.080.289.0Karbon 70055.065.869.0CompuLab Airtop63.074.378.0OpenBenchmarking.orgCelsius, Fewer Is BetterDolfyn 0.527CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.275.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterDolfyn 0.527System Temperature Monitor20406080100

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 1080pGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop306090120150SE +/- 1.58, N = 15SE +/- 0.95, N = 8SE +/- 0.08, N = 6SE +/- 0.12, N = 580.06131.8396.1363.991. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
MinAvgMaxGM-100061.068.678.0CompuLab Airtop356.071.988.0Karbon 70053.066.376.0CompuLab Airtop61.080.091.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.275.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1System 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: Random DeleteGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1020304050SE +/- 0.34, N = 4SE +/- 0.21, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 326.1933.7444.0143.801. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxGM-100058.065.072.0CompuLab Airtop352.065.779.0Karbon 70050.058.265.0CompuLab Airtop48.051.861.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: OverwriteGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1224364860SE +/- 0.24, N = 15SE +/- 0.31, N = 15SE +/- 2.50, N = 15SE +/- 0.10, N = 828.7336.6955.2543.331. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxGM-100057.060.967.0CompuLab Airtop348.055.976.0Karbon 70046.052.361.0CompuLab Airtop48.050.558.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1122334455SE +/- 0.26, N = 15SE +/- 0.41, N = 15SE +/- 1.32, N = 15SE +/- 0.04, N = 830.848.332.920.41. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random FillGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1224364860SE +/- 0.30, N = 15SE +/- 0.33, N = 15SE +/- 2.43, N = 15SE +/- 0.06, N = 828.4636.1854.6143.391. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxGM-100057.060.868.0CompuLab Airtop347.057.277.0Karbon 70047.051.261.0CompuLab Airtop47.050.458.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random FillGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop1122334455SE +/- 0.32, N = 15SE +/- 0.44, N = 15SE +/- 1.18, N = 15SE +/- 0.03, N = 831.149.033.120.41. (CXX) g++ options: -O3 -lsnappy -lpthread

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop4080120160200SE +/- 1.68, N = 15SE +/- 0.26, N = 8SE +/- 0.71, N = 7SE +/- 0.88, N = 7107.79169.12112.7180.911. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
MinAvgMaxGM-100061.068.677.0CompuLab Airtop356.069.286.0Karbon 70054.064.173.0CompuLab Airtop62.079.591.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.070.475.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1System 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 ReadGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop3691215SE +/- 0.045, N = 15SE +/- 0.037, N = 6SE +/- 0.133, N = 5SE +/- 0.008, N = 84.8546.83610.1804.1561. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxGM-100059.066.372.0CompuLab Airtop353.069.782.0Karbon 70050.060.467.0CompuLab Airtop50.058.667.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

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: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop246810SE +/- 0.04995, N = 4SE +/- 0.00566, N = 4SE +/- 0.01697, N = 4SE +/- 0.01480, N = 44.385023.964937.045874.32319MIN: 4.02MIN: 3.9MIN: 6.9MIN: 3.981. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.069.278.0CompuLab Airtop355.071.391.0Karbon 70054.067.478.0CompuLab Airtop60.081.891.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.375.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System 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 CompressionGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop246810SE +/- 0.007, N = 5SE +/- 0.006, N = 6SE +/- 0.014, N = 6SE +/- 0.011, N = 58.5726.3808.1338.4491. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxGM-100059.066.671.0CompuLab Airtop350.065.676.0Karbon 70049.057.763.0CompuLab Airtop53.060.765.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

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: 10GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop246810SE +/- 0.007, N = 7SE +/- 0.001, N = 8SE +/- 0.006, N = 7SE +/- 0.010, N = 66.2834.8055.9998.2591. (CXX) g++ options: -O3 -fPIC
MinAvgMaxGM-100060.067.477.0CompuLab Airtop353.067.588.0Karbon 70052.061.872.0CompuLab Airtop59.070.084.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.066.475.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3System 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: FastGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop246810SE +/- 0.01, N = 6SE +/- 0.00, N = 7SE +/- 0.03, N = 6SE +/- 0.01, N = 57.935.537.238.681. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxGM-100058.066.275.0CompuLab Airtop341.056.377.0Karbon 70043.053.764.0CompuLab Airtop48.059.270.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.067.475.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0System Temperature Monitor20406080100

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 5.2.0GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop246810SE +/- 0.022, N = 6SE +/- 0.020, N = 6SE +/- 0.027, N = 5SE +/- 0.032, N = 58.0076.4858.5698.601
MinAvgMaxGM-100061.067.374.0CompuLab Airtop353.066.683.0Karbon 70052.058.567.0CompuLab Airtop59.066.674.0OpenBenchmarking.orgCelsius, Fewer Is BetterGNU Octave Benchmark 5.2.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterGNU Octave Benchmark 5.2.0System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

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: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop714212835SE +/- 0.05, N = 7SE +/- 0.02, N = 7SE +/- 0.03, N = 6SE +/- 0.02, N = 616.6217.0232.0020.40MIN: 16.36MIN: 16.91MIN: 31.82MIN: 20.061. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.068.576.0CompuLab Airtop357.069.278.0Karbon 70053.060.568.0CompuLab Airtop58.073.788.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.975.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

DaCapo Benchmark

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

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop12002400360048006000SE +/- 23.71, N = 6SE +/- 38.10, N = 7SE +/- 54.95, N = 7SE +/- 44.43, N = 64833368948815427
MinAvgMaxGM-100060.067.074.0CompuLab Airtop349.062.278.0Karbon 70049.057.666.0CompuLab Airtop52.061.070.0OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.066.675.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1System 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: u8s8f32 - Engine: CPUGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop714212835SE +/- 0.02, N = 6SE +/- 0.05, N = 7SE +/- 0.01, N = 6SE +/- 0.05, N = 616.1216.5230.8819.58MIN: 15.9MIN: 16.37MIN: 30.58MIN: 17.981. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.068.174.0CompuLab Airtop355.066.874.0Karbon 70054.059.664.0CompuLab Airtop57.070.480.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.475.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System 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: 8GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop3691215SE +/- 0.014, N = 6SE +/- 0.006, N = 7SE +/- 0.013, N = 6SE +/- 0.014, N = 56.6725.0866.3548.9831. (CXX) g++ options: -O3 -fPIC
MinAvgMaxGM-100060.069.077.0CompuLab Airtop355.070.895.0Karbon 70053.062.575.0CompuLab Airtop61.071.286.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.066.975.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3System Temperature Monitor20406080100

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: NoGM-1000Karbon 700CompuLab Airtop3691215SE +/- 0.007, N = 9SE +/- 0.003, N = 5SE +/- 0.030, N = 103.21410.7723.292
MinAvgMaxGM-100055.056.063.0Karbon 70044.052.057.0CompuLab Airtop46.046.956.0OpenBenchmarking.orgCelsius, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818CPU Temperature Monitor20406080100
MinAvgMaxGM-100054.062.565.0Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818System 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: Fill SyncGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop2K4K6K8K10KSE +/- 8.65, N = 10SE +/- 6.82, N = 6SE +/- 74.53, N = 15SE +/- 23.53, N = 52260.156472.061309.9710317.681. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxGM-100058.058.760.0CompuLab Airtop349.050.753.0Karbon 70047.048.550.0CompuLab Airtop48.048.750.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor1632486480
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill SyncGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop0.3150.630.9451.261.575SE +/- 0.00, N = 10SE +/- 0.00, N = 6SE +/- 0.08, N = 15SE +/- 0.00, N = 50.40.31.40.11. (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: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPUGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop48121620SE +/- 0.08092, N = 15SE +/- 0.02344, N = 9SE +/- 0.02235, N = 9SE +/- 0.04063, N = 98.883716.656407.8867117.53670MIN: 8.11MIN: 6.4MIN: 7.8MIN: 17.191. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.067.977.0CompuLab Airtop356.069.387.0Karbon 70053.066.280.0CompuLab Airtop58.069.285.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.675.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop130260390520650SE +/- 0.50, N = 3SE +/- 1.68, N = 3SE +/- 1.38, N = 3SE +/- 1.58, N = 3344.07582.07432.27277.97MIN: 298.25 / MAX: 380.67MIN: 481.99 / MAX: 638.3MIN: 364.27 / MAX: 468.57MIN: 249.54 / MAX: 307.951. (CC) gcc options: -pthread
MinAvgMaxGM-100059.069.475.0CompuLab Airtop349.069.280.0Karbon 70049.060.668.0CompuLab Airtop50.062.374.0OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.175.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0System 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: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPUGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop3691215SE +/- 0.01402, N = 9SE +/- 0.02023, N = 9SE +/- 0.00916, N = 9SE +/- 0.00833, N = 96.695173.313564.6349511.29040MIN: 6.49MIN: 3.15MIN: 4.53MIN: 11.221. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.068.177.0CompuLab Airtop354.069.388.0Karbon 70053.063.576.0CompuLab Airtop57.067.279.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.475.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

FFTE

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

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop7K14K21K28K35KSE +/- 47.47, N = 11SE +/- 76.97, N = 11SE +/- 18.12, N = 9SE +/- 59.46, N = 930890.9130993.6417775.7519794.111. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
MinAvgMaxGM-100058.064.474.0CompuLab Airtop358.067.785.0Karbon 70053.060.068.0CompuLab Airtop61.071.886.0OpenBenchmarking.orgCelsius, Fewer Is BetterFFTE 7.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.064.575.0CompuLab Airtop327.827.827.8Karbon 70027.827.827.8CompuLab Airtop27.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterFFTE 7.0System 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 100GM-1000CompuLab Airtop3Karbon 700CompuLab Airtop0.63091.26181.89272.52363.1545SE +/- 0.001, N = 9SE +/- 0.002, N = 10SE +/- 0.001, N = 10SE +/- 0.002, N = 92.7802.0822.6472.8041. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxGM-100059.064.172.0CompuLab Airtop352.060.577.0Karbon 70050.056.165.0CompuLab Airtop55.059.567.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop0.41020.82041.23061.64082.051SE +/- 0.003, N = 11SE +/- 0.000, N = 12SE +/- 0.002, N = 13SE +/- 0.001, N = 111.7591.3131.6731.8231. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxGM-100060.064.373.0CompuLab Airtop354.060.881.0Karbon 70052.056.966.0CompuLab Airtop56.060.469.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700142842567064.027.827.8

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 TestGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop2004006008001000SE +/- 4.42, N = 15SE +/- 4.11, N = 13SE +/- 0.53, N = 15SE +/- 0.82, N = 11476.151052.00517.18232.45MIN: 10.65 / MAX: 548.82MIN: 53.05 / MAX: 1439MIN: 142.77 / MAX: 594.11MIN: 207.97 / MAX: 242.211. (CC) gcc options: -O2 -lm -pthread -lmpi
MinAvgMaxGM-100049.049.751.0CompuLab Airtop344.045.349.0Karbon 70038.038.439.0CompuLab Airtop40.040.040.0OpenBenchmarking.orgCelsius, Fewer Is BetterIOR 3.2.1CPU Temperature Monitor1530456075
OpenBenchmarking.orgCelsius, Fewer Is BetterIOR 3.2.1System Temperature MonitorCompuLab AirtopCompuLab Airtop3Karbon 700122436486054.027.827.8

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Write TestGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop140280420560700SE +/- 32.44, N = 15SE +/- 0.83, N = 13SE +/- 6.43, N = 15SE +/- 0.19, N = 11461.45253.17652.8877.35MIN: 18.41 / MAX: 691.92MIN: 74.4 / MAX: 323.5MIN: 125.89 / MAX: 1003.71MIN: 37.51 / MAX: 96.261. (CC) gcc options: -O2 -lm -pthread -lmpi

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 MonitoringGM-1000CompuLab Airtop3Karbon 700CompuLab Airtop20406080100Min: 49 / Avg: 67.98 / Max: 82Min: 34 / Avg: 70.36 / Max: 100Min: 38 / Avg: 60.6 / Max: 87Min: 40 / Avg: 70.91 / Max: 96

195 Results Shown

Kripke
Timed LLVM Compilation
RealSR-NCNN
Incompact3D
Java Gradle Build
ASTC Encoder
AI Benchmark Alpha:
  Device AI Score
  Device Training Score
  Device Inference Score
Mlpack Benchmark
LeelaChessZero:
  Eigen
  BLAS
GROMACS
YafaRay
Monte Carlo Simulations of Ionised Nebulae
Caffe
Mlpack Benchmark
BRL-CAD
Hierarchical INTegration
Numpy Benchmark
Kvazaar
SVT-AV1
Numenta Anomaly Benchmark
WireGuard + Linux Networking Stack Stress Test
OpenVKL
Apache Cassandra
High Performance Conjugate Gradient
dav1d
Timed Linux Kernel Compilation
NAMD
TensorFlow Lite
libavif avifenc
TensorFlow Lite
LuxCoreRender
Mobile Neural Network:
  inception-v3
  resnet-v2-50
  SqueezeNetV1.0
John The Ripper
Timed GDB GNU Debugger Compilation
Caffe
Numenta Anomaly Benchmark
Facebook RocksDB
Zstd Compression
Facebook RocksDB
BYTE Unix Benchmark
Timed HMMer Search
Numenta Anomaly Benchmark
Facebook RocksDB
LuxCoreRender
GLmark2
VP9 libvpx Encoding
eSpeak-NG Speech Engine
Caffe
Timed PHP Compilation
libavif avifenc
NCNN:
  CPU - yolov4-tiny
  CPU - resnet50
  CPU - alexnet
  CPU - resnet18
  CPU - vgg16
  CPU - googlenet
  CPU-v2-v2 - mobilenet-v2
  CPU - mobilenet
  CPU - squeezenet
RawTherapee
Kvazaar
RealSR-NCNN
PyPerformance
OpenSSL
PostgreSQL pgbench:
  1 - 1 - Read Write - Average Latency
  1 - 1 - Read Write
x265
John The Ripper
PyPerformance
KeyDB
Caffe
TensorFlow Lite
Numenta Anomaly Benchmark
TensorFlow Lite
Facebook RocksDB
Hugin
ASTC Encoder
oneDNN
Kvazaar
TensorFlow Lite:
  Mobilenet Quant
  Mobilenet Float
PyPerformance
Mlpack Benchmark
oneDNN:
  IP Batch All - u8s8f32 - CPU
  IP Batch All - f32 - CPU
Intel Open Image Denoise
oneDNN
NCNN:
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - resnet50
  Vulkan GPU - alexnet
  Vulkan GPU - resnet18
  Vulkan GPU - vgg16
  Vulkan GPU - googlenet
  Vulkan GPU - blazeface
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - mnasnet
  Vulkan GPU - shufflenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU - mobilenet
  Vulkan GPU - squeezenet
oneDNN
Git
rays1bench
Kvazaar
oneDNN
Kvazaar
PostgreSQL pgbench:
  1 - 50 - Read Write - Average Latency
  1 - 50 - Read Write
  1 - 1 - Read Only - Average Latency
  1 - 1 - Read Only
  1 - 50 - Read Only - Average Latency
  1 - 50 - Read Only
PyPerformance
OCRMyPDF
DaCapo Benchmark
oneDNN
SVT-AV1
7-Zip Compression
WebP Image Encode
LibRaw
dav1d
DaCapo Benchmark
VP9 libvpx Encoding
x265
Timed Apache Compilation
LevelDB
PostMark
oneDNN
Kvazaar
Facebook RocksDB
oneDNN
PyPerformance
DaCapo Benchmark
Waifu2x-NCNN Vulkan
ASTC Encoder
dav1d
PyPerformance
Zstd Compression
Mlpack Benchmark
PyPerformance
LevelDB
C-Blosc
RNNoise
PyPerformance:
  pickle_pure_python
  float
Tesseract OCR
PyPerformance:
  chaos
  json_loads
  crypto_pyaes
  nbody
TNN
librsvg
TNN
Timed MAFFT Alignment
WebP Image Encode
LevelDB:
  Seq Fill:
    Microseconds Per Op
    MB/s
LAMMPS Molecular Dynamics Simulator
Dolfyn
SVT-VP9
LevelDB:
  Rand Delete
  Overwrite
  Overwrite
  Rand Fill
  Rand Fill
SVT-VP9
LevelDB
oneDNN
WebP Image Encode
libavif avifenc
ASTC Encoder
GNU Octave Benchmark
oneDNN
DaCapo Benchmark
oneDNN
libavif avifenc
Waifu2x-NCNN Vulkan
LevelDB:
  Fill Sync:
    Microseconds Per Op
    MB/s
oneDNN
dav1d
oneDNN
FFTE
WebP Image Encode:
  Quality 100
  Default
IOR:
  Read Test
  Write Test
System Temperature Monitor:
  Phoronix Test Suite System Monitoring:
    Celsius
    Celsius

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.