GM-1000

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GM-1000
October 28 2020
  18 Hours, 39 Minutes
CompuLab Airtop3
October 29 2020
  12 Hours, 59 Minutes
Karbon 700
October 30 2020
  22 Hours, 42 Minutes
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  18 Hours, 7 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

GM-1000ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionGM-1000CompuLab Airtop3Karbon 700Intel 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 20.2.11.2.145OpenBenchmarking.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- NONE / errors=remount-ro,relatime,rwProcessor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3OpenCL Details- GM-1000: GPU Compute Cores: 768- CompuLab Airtop3: GPU Compute Cores: 2304Java 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)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

GM-1000CompuLab Airtop3Karbon 700Logarithmic Result OverviewPhoronix Test SuiteGLmark2KripkeNCNNApache CassandraLeelaChessZerorays1benchNumenta Anomaly BenchmarkTimed Linux Kernel CompilationNAMDYafaRayKvazaarTimed LLVM CompilationLuxCoreRenderZstd CompressionIntel Open Image Denoise7-Zip CompressionRealSR-NCNNWaifu2x-NCNN VulkanJohn The RipperSVT-AV1Incompact3DOCRMyPDFx265TensorFlow LiteTimed PHP CompilationHigh Performance Conjugate GradientOpenVKLFFTEoneDNNASTC EncoderOpenSSLMonte Carlo Simulations of Ionised NebulaeTimed GDB GNU Debugger CompilationWireGuard + Linux Networking Stack Stress Testdav1dHuginKeyDBAI Benchmark AlphaSVT-VP9GROMACSlibavif avifencRawTherapeeMlpack BenchmarkTimed Apache CompilationC-BloscVP9 libvpx EncodingTimed MAFFT AlignmentFacebook RocksDBDaCapo BenchmarkeSpeak-NG Speech EngineMobile Neural NetworkLAMMPS Molecular Dynamics SimulatorJava Gradle BuildPostgreSQL pgbenchlibrsvgRNNoisePyPerformanceGitBYTE Unix BenchmarkWebP Image EncodeTesseract OCRDolfynTNNGNU Octave BenchmarkTimed HMMer SearchHierarchical INTegrationNumpy BenchmarkPostMarkIORLevelDBLibRawCaffe

GM-1000kripke: build-llvm: Time To Compilerealsr-ncnn: 4x - Yesjava-gradle-perf: Reactorincompact3d: Cylinderai-benchmark: Device AI Scoreai-benchmark: Device Training Scoreai-benchmark: Device Inference Scoreastcenc: Exhaustivelczero: Eigenlczero: BLASmlpack: scikit_qdamlpack: scikit_linearridgeregressiongromacs: Water Benchmarkbrl-cad: VGR Performance Metricmocassin: Dust 2D tau100.0yafaray: Total Time For Sample Scenehint: FLOATcaffe: GoogleNet - CPU - 200numpy: cassandra: Writesopenvkl: vklBenchmarkkvazaar: Bosphorus 4K - Mediumwireguard: hpcg: numenta-nab: Earthgecko Skylinesvt-av1: Enc Mode 0 - 1080pluxcorerender: DLSCjohn-the-ripper: MD5tensorflow-lite: Inception V4dav1d: Chimera 1080p 10-bitrocksdb: Rand Filltensorflow-lite: Inception ResNet V2numenta-nab: Relative Entropybuild-linux-kernel: Time To Compilenamd: ATPase Simulation - 327,506 Atomsmnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: resnet-v2-50mnn: SqueezeNetV1.0rocksdb: Rand Fill Syncavifenc: 0rocksdb: Read While Writingluxcorerender: Rainbow Colors and Prismcompress-zstd: 19numenta-nab: Bayesian Changepointcaffe: GoogleNet - CPU - 100build-gdb: Time To Compilehmmer: Pfam Database Searchbyte: Dhrystone 2glmark2: 1920 x 1080openssl: RSA 4096-bit Performancevpxenc: Speed 0espeak: Text-To-Speech Synthesiscaffe: AlexNet - CPU - 200realsr-ncnn: 4x - Nojohn-the-ripper: Blowfishbuild-php: Time To Compilencnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetncnn: CPU - squeezenetpgbench: 1 - 1 - Read Write - Average Latencypgbench: 1 - 1 - Read Writeavifenc: 2rawtherapee: Total Benchmark Timepyperformance: raytraceonednn: IP Batch 1D - f32 - CPUnumenta-nab: Windowed Gaussiankvazaar: Bosphorus 4K - Very Fastcaffe: AlexNet - CPU - 100kvazaar: Bosphorus 1080p - Very Fastkeydb: x265: Bosphorus 4Kpyperformance: python_startuponednn: Deconvolution Batch deconv_1d - f32 - CPUtensorflow-lite: NASNet Mobiletensorflow-lite: SqueezeNetrocksdb: Rand Readonednn: Deconvolution Batch deconv_1d - u8s8f32 - CPUtensorflow-lite: Mobilenet Quanttensorflow-lite: Mobilenet Floatncnn: 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 - squeezenethugin: Panorama Photo Assistant + Stitching Timepgbench: 1 - 50 - Read Write - Average Latencypgbench: 1 - 50 - Read Writepgbench: 1 - 50 - Read Only - Average Latencypgbench: 1 - 50 - Read Onlyrays1bench: Large Scenemlpack: scikit_icaonednn: IP Batch All - u8s8f32 - CPUonednn: IP Batch All - f32 - CPUoidn: Memorialpyperformance: 2to3astcenc: Thoroughonednn: IP Batch 1D - u8s8f32 - CPUgit: Time To Complete Common Git Commandsocrmypdf: Processing 60 Page PDF Documentkvazaar: Bosphorus 4K - Ultra Fastdacapobench: Tradesoapcompress-7zip: Compress Speed Testdacapobench: H2leveldb: Seek Randpyperformance: gokvazaar: Bosphorus 1080p - Mediumx265: Bosphorus 1080ponednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUvpxenc: Speed 5rocksdb: Seq Fillkvazaar: Bosphorus 1080p - Ultra Fastlibraw: Post-Processing Benchmarkwebp: Quality 100, Lossless, Highest Compressionsvt-av1: Enc Mode 4 - 1080pdav1d: Summer Nature 4Kbuild-apache: Time To Compiledacapobench: Tradebeansonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUwaifu2x-ncnn: 2x - 3 - Yesastcenc: Mediumpostmark: Disk Transaction Performanceleveldb: Rand Readpyperformance: regex_compilemlpack: scikit_svmpyperformance: django_templatecompress-zstd: 3blosc: blosclzpyperformance: pathlibdav1d: Chimera 1080prnnoise: pgbench: 1 - 1 - Read Only - Average Latencypgbench: 1 - 1 - Read Onlypyperformance: floatpyperformance: chaostesseract-ocr: Time To OCR 7 Imagespyperformance: pickle_pure_pythonpyperformance: crypto_pyaesmafft: Multiple Sequence Alignment - LSU RNApyperformance: json_loadstnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1pyperformance: nbodyrsvg: SVG Files To PNGsvt-vp9: Visual Quality Optimized - Bosphorus 1080pwebp: Quality 100, Losslessleveldb: Seq Fillleveldb: Seq Fillleveldb: Overwriteleveldb: Overwriteleveldb: Rand Fillleveldb: Rand Filldolfyn: Computational Fluid Dynamicsleveldb: Rand Deleteleveldb: Hot Readsvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080ponednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUwebp: Quality 100, Highest Compressionlammps: Rhodopsin Proteinastcenc: Fastoctave-benchmark: onednn: Convolution Batch Shapes Auto - f32 - CPUavifenc: 10waifu2x-ncnn: 2x - 3 - Noonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUdacapobench: Jythonavifenc: 8onednn: Deconvolution Batch deconv_3d - f32 - CPUonednn: Deconvolution Batch deconv_3d - u8s8f32 - CPUleveldb: Fill Syncleveldb: Fill Syncffte: N=256, 3D Complex FFT Routinewebp: Quality 100dav1d: Summer Nature 1080pwebp: Defaultior: Read Testior: Write TestGM-1000CompuLab Airtop3Karbon 700208895831604.059276.624271.428706.7861531372732640631.6975878487.813.140.53343138344374.754360309999.31612255319322.072073280.391.99269.9323.70831300.5440.0740.67430834601118076.17634739544130049.502212.6484.1786863.6827.7834.70351.88711.1173473190.8168087360.7523.397.135126140155.395131.24836200967.734421492.75.0933.3778942437.8757654114.79643.0847.3322.5323.5683.0723.992.0710.256.905.356.516.6130.3325.541.988503110.73795.4815059.5332426.1155.624424523.54458524.516.539.0110.809213212464063692461633112.820327952427839316.2813.228.175.8033.337.841.045.233.102.383.393.009.3110.2775.78868.8967260.39012837319.7464.7267.7654114.2913.7035276.984.8400560.37239.60810.3866802411033395.9282709.0131.425.9123919.6598109144.4527.2646.9821.44692.9532.1153621670.341231.38616.8689.9165784.74818628.9352.33601.78600.419.3354.5129.1000.0402486212211727.10846211611.26828.4369.908362.13013824.63180.0621.19727.20432.528.73330.828.45931.122.14526.1874.854107.794.385028.5724.8707.938.00716.62246.2833.21416.123648336.6728.883716.695172260.1460.430890.9066747312.780344.071.759476.15461.4521264093769.66281.525196.073378.579915223611081128274.4976584062.682.470.819100566202177.731471438878.81023206622420.2967820141.934.26160.3874.09016132.8540.1341.418364543260697114.58871738294612722.21598.5091.9601044.4447.8493.79242.5816.581234499.60919233731.5325.743.07910286991.591100.19248614938.012539.97.7723.7057958212.6261527264.68929.0628.5114.2315.1966.2815.001.476.703.913.314.055.1519.0016.202.37243459.41260.8333764.4973812.45412.053930947.21751370.0112.366.825.04673199708226512434655965.642151564961536458.503.752.111.688.313.220.612.641.481.31.661.434.593.6345.83983.7315970.16929654546.1142.1427.745767.69057.5326433.231.8898944.96721.68722.2136924875229288.93720019.0254.912.5611328.61132156691.4633.3534.7962.943157.4120.9102791322.594143.8885.6018.5283337.66313822.4338.92955.510397.814.3644.6921.5820.033355489.985.920.27133985.98.62821.4283.960269.27510318.220131.8316.02233.54552.836.68748.336.18349.016.67833.7386.836169.123.964936.3806.7865.536.48517.02484.80516.523636895.0866.656403.313566472.0620.330993.6351886782.082582.071.3131052.00253.1757419041051.6001764.690256.350512.7303261430685745384.66306335130.533.940.517265246.296371786567.42537294238334.995012498.393.03207.6922.31499192.6160.1041.05594105437197787.55526358395266029.870134.6692.8099262.30810.9295.42459.9839.1709175134.32515224591.1512.571.556146379117.552131.20138072622.25241931.66.3531.675111250223.4621122783.92542.3643.4923.8724.17118.1222.401.899.875.614.275.937.8227.5723.501.14594177.81485.4294796.2734216.8058.615473334.69570969.829.008.526.61803262007298283315379727.7204820512620205565.8750.2225.9223.85151.4623.542.4116.479.2610.1010.198.1726.1927.5858.57367.1687560.22122667531.9360.8141.1275108.9435.2733246.092.5556456.44928.19016.00517233135326713.67325513.8141.443.6237522.87103354167.5327.1243.0252.115100.7926.4283956539.076251.01279.3356.20694410.22917827.2549.31609.06843.618.2450.5327.4630.0382654411410925.65143410912.44527.1369.086343.22113122.56496.1319.97243.65640.555.25032.954.60733.121.02544.01310.180112.717.045878.1335.1167.238.56932.00325.99910.77230.884148816.3547.886714.634951309.9681.417775.7464928012.647432.271.673517.18652.88OpenBenchmarking.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 1.2.4CompuLab Airtop3GM-1000Karbon 7005M10M15M20M25MSE +/- 86477.80, N = 3SE +/- 42312.00, N = 3SE +/- 187229.46, N = 9212640932088958357419041. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgCelsius, Fewer Is BetterKripke 1.2.4CPU Temperature MonitorKarbon 700CompuLab Airtop3GM-10001530456075Min: 44 / Avg: 50.99 / Max: 61Min: 43 / Avg: 67.58 / Max: 81Min: 58 / Avg: 67.81 / Max: 72
OpenBenchmarking.orgCelsius, Fewer Is BetterKripke 1.2.4System Temperature MonitorGM-1000CompuLab Airtop31428425670Min: 64 / Avg: 64.15 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4CompuLab Airtop3GM-1000Karbon 7004M8M12M16M20MMin: 21153180 / Avg: 21264093.33 / Max: 21434480Min: 20805700 / Avg: 20889583.33 / Max: 20941200Min: 5140044 / Avg: 5741903.78 / Max: 68106101. (CXX) g++ options: -O3 -fopenmp

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileCompuLab Airtop3Karbon 700GM-100030060090012001500SE +/- 4.62, N = 3SE +/- 0.57, N = 3SE +/- 1.30, N = 3769.661051.601604.06
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 10.0CPU Temperature MonitorGM-1000Karbon 700CompuLab Airtop320406080100Min: 61 / Avg: 69.21 / Max: 78Min: 54 / Avg: 69.36 / Max: 78Min: 56 / Avg: 77.27 / Max: 91
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 10.0System Temperature MonitorGM-1000Karbon 7001428425670Min: 64 / Avg: 74.93 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileCompuLab Airtop3Karbon 700GM-100030060090012001500Min: 762.19 / Avg: 769.66 / Max: 778.09Min: 1050.94 / Avg: 1051.6 / Max: 1052.73Min: 1602.47 / Avg: 1604.06 / Max: 1606.63

RealSR-NCNN

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesCompuLab Airtop3GM-1000Karbon 700400800120016002000SE +/- 0.44, N = 3SE +/- 0.07, N = 3SE +/- 0.20, N = 381.53276.621764.69
MinAvgMaxCompuLab Airtop338.040.259.0GM-100050.052.564.0Karbon 70041.054.358.0OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818System Temperature MonitorGM-1000Karbon 7001326395265Min: 54 / Avg: 54.07 / Max: 65Min: 27.8 / Avg: 27.8 / Max: 27.8
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesCompuLab Airtop3GM-1000Karbon 70030060090012001500Min: 80.72 / Avg: 81.53 / Max: 82.23Min: 276.49 / Avg: 276.62 / Max: 276.75Min: 1764.31 / Avg: 1764.69 / Max: 1764.95

Java Gradle Build

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

OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorCompuLab Airtop3Karbon 700GM-100060120180240300SE +/- 2.24, N = 12SE +/- 3.91, N = 9SE +/- 3.29, N = 3196.07256.35271.43
OpenBenchmarking.orgCelsius, Fewer Is BetterJava Gradle BuildCPU Temperature MonitorKarbon 700GM-1000CompuLab Airtop320406080100Min: 48 / Avg: 64.94 / Max: 74Min: 59 / Avg: 70.57 / Max: 76Min: 48 / Avg: 75.61 / Max: 88
OpenBenchmarking.orgCelsius, Fewer Is BetterJava Gradle BuildSystem Temperature MonitorGM-1000CompuLab Airtop31428425670Min: 64 / Avg: 73.2 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8
OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorCompuLab Airtop3Karbon 700GM-100050100150200250Min: 187.44 / Avg: 196.07 / Max: 215.73Min: 246.56 / Avg: 256.35 / Max: 283.41Min: 267.43 / Avg: 271.43 / Max: 277.96

Incompact3D

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

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderCompuLab Airtop3Karbon 700GM-1000150300450600750SE +/- 1.24, N = 3SE +/- 1.81, N = 3SE +/- 1.81, N = 3378.58512.73706.791. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz
OpenBenchmarking.orgCelsius, Fewer Is BetterIncompact3D 2020-09-17CPU Temperature MonitorKarbon 700GM-1000CompuLab Airtop320406080100Min: 49 / Avg: 67.53 / Max: 76Min: 59 / Avg: 68.96 / Max: 78Min: 51 / Avg: 76.24 / Max: 88
OpenBenchmarking.orgCelsius, Fewer Is BetterIncompact3D 2020-09-17System Temperature MonitorGM-1000Karbon 7001428425670Min: 64 / Avg: 74.91 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8
OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderCompuLab Airtop3Karbon 700GM-1000120240360480600Min: 376.18 / Avg: 378.58 / Max: 380.34Min: 509.11 / Avg: 512.73 / Max: 514.73Min: 703.74 / Avg: 706.79 / Max: 710.011. (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

AI Benchmark Alpha

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

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreCompuLab Airtop3Karbon 700GM-10005001000150020002500223614301372
OpenBenchmarking.orgCelsius, Fewer Is BetterAI Benchmark Alpha 0.1.2CPU Temperature MonitorKarbon 700GM-1000CompuLab Airtop320406080100Min: 45 / Avg: 64 / Max: 76Min: 58 / Avg: 68.63 / Max: 76Min: 41 / Avg: 70.68 / Max: 90
OpenBenchmarking.orgCelsius, Fewer Is BetterAI Benchmark Alpha 0.1.2System Temperature MonitorGM-1000Karbon 7001428425670Min: 64 / Avg: 73.64 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreCompuLab Airtop3GM-1000Karbon 70020040060080010001108732685

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreCompuLab Airtop3Karbon 700GM-100020040060080010001128745640

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveCompuLab Airtop3Karbon 700GM-1000140280420560700SE +/- 0.82, N = 3SE +/- 0.17, N = 3SE +/- 0.59, N = 3274.49384.66631.691. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxKarbon 70047.064.477.0GM-100060.068.577.0CompuLab Airtop347.071.590.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0System Temperature MonitorGM-1000CompuLab Airtop31428425670Min: 64 / Avg: 74.9 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveCompuLab Airtop3Karbon 700GM-1000110220330440550Min: 272.97 / Avg: 274.49 / Max: 275.76Min: 384.34 / Avg: 384.66 / Max: 384.94Min: 630.77 / Avg: 631.69 / Max: 632.791. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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: EigenCompuLab Airtop3GM-1000Karbon 700160320480640800SE +/- 7.36, N = 3SE +/- 2.52, N = 3SE +/- 4.33, N = 37657583061. (CXX) g++ options: -flto -pthread
MinAvgMaxKarbon 70054.067.975.0GM-100063.071.379.0CompuLab Airtop360.077.896.0OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.26CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.975.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.26System Temperature Monitor20406080100
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenCompuLab Airtop3GM-1000Karbon 700130260390520650Min: 757 / Avg: 765.33 / Max: 780Min: 755 / Avg: 758 / Max: 763Min: 299 / Avg: 306.33 / Max: 3141. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASCompuLab Airtop3GM-1000Karbon 7002004006008001000SE +/- 8.54, N = 3SE +/- 6.44, N = 38407843351. (CXX) g++ options: -flto -pthread
MinAvgMaxKarbon 70050.066.074.0GM-100062.070.578.0CompuLab Airtop356.075.691.0OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.26CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.975.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.26System Temperature Monitor20406080100
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASCompuLab Airtop3GM-1000Karbon 700150300450600750Min: 823 / Avg: 840 / Max: 850Min: 771 / Avg: 783.67 / Max: 7921. (CXX) g++ options: -flto -pthread

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaCompuLab Airtop3GM-1000Karbon 700306090120150SE +/- 0.23, N = 3SE +/- 0.01, N = 3SE +/- 10.16, N = 1262.6887.81130.53
OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkCPU Temperature MonitorKarbon 700GM-1000CompuLab Airtop31632486480Min: 52 / Avg: 64.81 / Max: 74Min: 61 / Avg: 69.22 / Max: 76Min: 53 / Avg: 71.15 / Max: 84
OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkSystem Temperature MonitorGM-1000Karbon 7001428425670Min: 64 / Avg: 72.96 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaCompuLab Airtop3GM-1000Karbon 70020406080100Min: 62.34 / Avg: 62.68 / Max: 63.13Min: 87.8 / Avg: 87.81 / Max: 87.82Min: 103.21 / Avg: 130.53 / Max: 202.27

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionCompuLab Airtop3GM-1000Karbon 7000.88651.7732.65953.5464.4325SE +/- 0.03, N = 15SE +/- 0.03, N = 15SE +/- 0.06, N = 152.473.143.94
MinAvgMaxKarbon 70049.059.873.0CompuLab Airtop346.064.280.0GM-100060.068.176.0OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.064.475.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkSystem Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionCompuLab Airtop3GM-1000Karbon 700246810Min: 2.25 / Avg: 2.47 / Max: 2.63Min: 2.97 / Avg: 3.14 / Max: 3.34Min: 3.33 / Avg: 3.94 / Max: 4.27

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkCompuLab Airtop3GM-1000Karbon 7000.18430.36860.55290.73720.9215SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.8190.5330.5171. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
MinAvgMaxKarbon 70050.064.874.0GM-100058.067.577.0CompuLab Airtop353.072.289.0OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2020.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.067.775.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2020.3System Temperature Monitor20406080100
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkCompuLab Airtop3GM-1000Karbon 700246810Min: 0.82 / Avg: 0.82 / Max: 0.82Min: 0.53 / Avg: 0.53 / Max: 0.54Min: 0.52 / Avg: 0.52 / Max: 0.521. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

BRL-CAD

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

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricCompuLab Airtop3GM-100020K40K60K80K100K100566431381. (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 Airtop356.075.288.0OpenBenchmarking.orgCelsius, Fewer Is BetterBRL-CAD 7.30.8CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.975.0OpenBenchmarking.orgCelsius, Fewer Is BetterBRL-CAD 7.30.8System Temperature Monitor20406080100

Monte Carlo Simulations of Ionised Nebulae

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0CompuLab Airtop3Karbon 700GM-100070140210280350SE +/- 0.58, N = 3SE +/- 0.67, N = 3SE +/- 1.33, N = 32022653441. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lrt -lz
MinAvgMaxKarbon 70054.067.771.0GM-100061.069.076.0CompuLab Airtop357.076.588.0OpenBenchmarking.orgCelsius, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.875.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0CompuLab Airtop3Karbon 700GM-100060120180240300Min: 201 / Avg: 202 / Max: 203Min: 264 / Avg: 265.33 / Max: 266Min: 341 / Avg: 343.67 / Max: 3451. (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

YafaRay

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

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneCompuLab Airtop3Karbon 700GM-100080160240320400SE +/- 0.40, N = 3SE +/- 0.75, N = 3SE +/- 2.21, N = 3177.73246.30374.751. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
MinAvgMaxGM-100062.069.179.0Karbon 70055.070.380.0CompuLab Airtop358.077.294.0OpenBenchmarking.orgCelsius, Fewer Is BetterYafaRay 3.4.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.975.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterYafaRay 3.4.1System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneCompuLab Airtop3Karbon 700GM-100070140210280350Min: 177.05 / Avg: 177.73 / Max: 178.44Min: 244.83 / Avg: 246.3 / Max: 247.34Min: 370.45 / Avg: 374.75 / Max: 377.781. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

Hierarchical INTegration

This test runs the U.S. Department of Energy's Ames Laboratory Hierarchical INTegration (HINT) benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATCompuLab Airtop3Karbon 700GM-1000100M200M300M400M500MSE +/- 825158.10, N = 3SE +/- 666152.61, N = 3SE +/- 534147.70, N = 3471438878.81371786567.43360309999.321. (CC) gcc options: -O3 -march=native -lm
MinAvgMaxKarbon 70046.057.262.0CompuLab Airtop343.063.476.0GM-100059.066.669.0OpenBenchmarking.orgCelsius, Fewer Is BetterHierarchical INTegration 1.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterHierarchical INTegration 1.0System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATCompuLab Airtop3Karbon 700GM-100080M160M240M320M400MMin: 470106259.43 / Avg: 471438878.81 / Max: 472948249.49Min: 370529571.4 / Avg: 371786567.43 / Max: 372797490.12Min: 359505128.58 / Avg: 360309999.32 / Max: 361320775.571. (CC) gcc options: -O3 -march=native -lm

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200CompuLab Airtop3GM-1000Karbon 70060K120K180K240K300KSE +/- 196.94, N = 3SE +/- 2728.74, N = 3SE +/- 572.20, N = 32066222553192942381. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxKarbon 70053.068.680.0GM-100062.069.278.0CompuLab Airtop357.075.993.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.875.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13System Temperature Monitor20406080100
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200CompuLab Airtop3GM-1000Karbon 70050K100K150K200K250KMin: 206248 / Avg: 206622 / Max: 206916Min: 250680 / Avg: 255318.67 / Max: 260128Min: 293188 / Avg: 294238.33 / Max: 2951571. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Numpy Benchmark

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

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkCompuLab Airtop3Karbon 700GM-100090180270360450SE +/- 0.95, N = 3SE +/- 1.03, N = 3SE +/- 0.61, N = 3420.29334.99322.07
MinAvgMaxKarbon 70052.066.671.0GM-100060.072.876.0CompuLab Airtop353.078.487.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumpy BenchmarkCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.975.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterNumpy BenchmarkSystem Temperature Monitor20406080100
OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkCompuLab Airtop3Karbon 700GM-100070140210280350Min: 418.48 / Avg: 420.29 / Max: 421.68Min: 333.1 / Avg: 334.99 / Max: 336.64Min: 321.05 / Avg: 322.07 / Max: 323.15

Apache Cassandra

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

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesCompuLab Airtop3Karbon 700GM-100015K30K45K60K75KSE +/- 744.79, N = 3SE +/- 581.94, N = 6SE +/- 177.03, N = 15678205012420732
MinAvgMaxKarbon 70047.062.272.0CompuLab Airtop347.066.481.0GM-100059.068.277.0OpenBenchmarking.orgCelsius, Fewer Is BetterApache Cassandra 3.11.4CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterApache Cassandra 3.11.4System Temperature MonitorGM-1000CompuLab Airtop31428425670Min: 64 / Avg: 72.15 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8
OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesCompuLab Airtop3Karbon 700GM-100012K24K36K48K60KMin: 66893 / Avg: 67819.67 / Max: 69293Min: 49081 / Avg: 50123.67 / Max: 52804Min: 19586 / Avg: 20732.33 / Max: 22089

OpenVKL

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

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkCompuLab Airtop3Karbon 700GM-1000306090120150SE +/- 0.98, N = 3SE +/- 0.29, N = 3SE +/- 0.39, N = 3141.9398.3980.39MIN: 1 / MAX: 580MIN: 1 / MAX: 378MIN: 1 / MAX: 345
MinAvgMaxKarbon 70054.068.179.0GM-100061.072.278.0CompuLab Airtop356.080.295.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9System Temperature MonitorGM-1000Karbon 7001428425670Min: 64 / Avg: 74.23 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkCompuLab Airtop3Karbon 700GM-1000306090120150Min: 140.83 / Avg: 141.93 / Max: 143.89Min: 97.92 / Avg: 98.39 / Max: 98.92Min: 79.75 / Avg: 80.39 / Max: 81.08

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumCompuLab Airtop3Karbon 700GM-10000.95851.9172.87553.8344.7925SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 34.263.031.991. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxKarbon 70047.063.777.0GM-100059.067.577.0CompuLab Airtop347.070.890.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.575.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumCompuLab Airtop3Karbon 700GM-1000246810Min: 4.23 / Avg: 4.26 / Max: 4.31Min: 3.01 / Avg: 3.03 / Max: 3.07Min: 1.97 / Avg: 1.99 / Max: 2.011. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

WireGuard + Linux Networking Stack Stress Test

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

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCompuLab Airtop3Karbon 700GM-100060120180240300SE +/- 0.53, N = 3SE +/- 0.72, N = 3SE +/- 2.25, N = 3160.39207.69269.93
MinAvgMaxKarbon 70043.061.065.0CompuLab Airtop334.063.074.0GM-100059.068.774.0OpenBenchmarking.orgCelsius, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.575.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestSystem Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCompuLab Airtop3Karbon 700GM-100050100150200250Min: 159.4 / Avg: 160.39 / Max: 161.23Min: 206.85 / Avg: 207.69 / Max: 209.12Min: 266.32 / Avg: 269.93 / Max: 274.07

High Performance Conjugate Gradient

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

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1CompuLab Airtop3GM-1000Karbon 7000.92031.84062.76093.68124.6015SE +/- 0.00092, N = 3SE +/- 0.00058, N = 3SE +/- 0.00031, N = 34.090163.708312.314991. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
MinAvgMaxKarbon 70048.059.365.0CompuLab Airtop349.068.583.0GM-100061.069.076.0OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.775.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1System Temperature Monitor20406080100
OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1CompuLab Airtop3GM-1000Karbon 700246810Min: 4.09 / Avg: 4.09 / Max: 4.09Min: 3.71 / Avg: 3.71 / Max: 3.71Min: 2.31 / Avg: 2.31 / Max: 2.321. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineCompuLab Airtop3Karbon 700GM-100070140210280350SE +/- 2.03, N = 3SE +/- 1.51, N = 3SE +/- 4.34, N = 3132.85192.62300.54
MinAvgMaxKarbon 70049.065.275.0GM-100059.069.677.0CompuLab Airtop350.071.988.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.875.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineCompuLab Airtop3Karbon 700GM-100050100150200250Min: 129.43 / Avg: 132.85 / Max: 136.47Min: 190.17 / Avg: 192.62 / Max: 195.38Min: 293.05 / Avg: 300.54 / Max: 308.1

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pCompuLab Airtop3Karbon 700GM-10000.03020.06040.09060.12080.151SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.1340.1040.0741. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
MinAvgMaxKarbon 70053.070.777.0GM-100061.071.279.0CompuLab Airtop355.081.495.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.775.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pCompuLab Airtop3Karbon 700GM-100012345Min: 0.13 / Avg: 0.13 / Max: 0.14Min: 0.1 / Avg: 0.1 / Max: 0.1Min: 0.07 / Avg: 0.07 / Max: 0.081. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCCompuLab Airtop3Karbon 700GM-10000.31730.63460.95191.26921.5865SE +/- 0.02, N = 3SE +/- 0.01, N = 9SE +/- 0.01, N = 151.411.050.67MIN: 1.31 / MAX: 1.69MIN: 0.95 / MAX: 1.29MIN: 0.59 / MAX: 0.97
MinAvgMaxKarbon 70052.066.777.0GM-100061.068.377.0CompuLab Airtop358.074.591.0OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender 2.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.075.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender 2.3System Temperature Monitor20406080100
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCCompuLab Airtop3Karbon 700GM-1000246810Min: 1.38 / Avg: 1.41 / Max: 1.44Min: 1.03 / Avg: 1.05 / Max: 1.13Min: 0.65 / Avg: 0.67 / Max: 0.75

John The Ripper

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

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5CompuLab Airtop3Karbon 700GM-1000200K400K600K800K1000KSE +/- 10984.38, N = 4SE +/- 6589.74, N = 7SE +/- 3391.63, N = 15836454594105430834-lbz21. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt
MinAvgMaxKarbon 70050.065.378.0GM-100060.068.178.0CompuLab Airtop352.072.589.0OpenBenchmarking.orgCelsius, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1System Temperature Monitor20406080100
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5CompuLab Airtop3Karbon 700GM-1000140K280K420K560K700KMin: 822476 / Avg: 836453.75 / Max: 869222Min: 583424 / Avg: 594105 / Max: 633139Min: 424345 / Avg: 430834 / Max: 4776961. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt

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 V4CompuLab Airtop3Karbon 700GM-10001.3M2.6M3.9M5.2M6.5MSE +/- 1363.50, N = 3SE +/- 20514.24, N = 3SE +/- 34182.46, N = 3326069743719776011180
MinAvgMaxGM-100061.069.077.0Karbon 70053.069.276.0CompuLab Airtop357.077.596.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.775.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System Temperature Monitor20406080100
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4CompuLab Airtop3Karbon 700GM-10001000K2000K3000K4000K5000KMin: 3258190 / Avg: 3260696.67 / Max: 3262880Min: 4331000 / Avg: 4371976.67 / Max: 4394250Min: 5942980 / Avg: 6011180 / Max: 6049390

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitCompuLab Airtop3Karbon 700GM-1000306090120150SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.61, N = 3114.5887.5576.17MIN: 72.92 / MAX: 273.76MIN: 56.85 / MAX: 197.5MIN: 47.76 / MAX: 187.81. (CC) gcc options: -pthread
OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0CPU Temperature MonitorKarbon 700GM-1000CompuLab Airtop31632486480Min: 48 / Avg: 60.17 / Max: 70Min: 59 / Avg: 69.19 / Max: 74Min: 49 / Avg: 70.26 / Max: 84
OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0System Temperature MonitorGM-1000Karbon 7001428425670Min: 64 / Avg: 71.18 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitCompuLab Airtop3Karbon 700GM-100020406080100Min: 114.51 / Avg: 114.58 / Max: 114.69Min: 87.43 / Avg: 87.55 / Max: 87.62Min: 75.47 / Avg: 76.17 / Max: 77.381. (CC) gcc options: -pthread

Facebook RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillCompuLab Airtop3GM-1000Karbon 700200K400K600K800K1000KSE +/- 7973.52, N = 3SE +/- 7757.34, N = 5SE +/- 11711.73, N = 158717386347395263581. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
MinAvgMaxKarbon 70051.063.172.0GM-100061.069.176.0CompuLab Airtop351.071.483.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.475.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6System Temperature Monitor20406080100
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillCompuLab Airtop3GM-1000Karbon 700150K300K450K600K750KMin: 860466 / Avg: 871737.67 / Max: 887143Min: 614178 / Avg: 634738.6 / Max: 658548Min: 441951 / Avg: 526358.07 / Max: 5921951. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2CompuLab Airtop3Karbon 700GM-10001.2M2.4M3.6M4.8M6MSE +/- 1078.35, N = 3SE +/- 17665.88, N = 3SE +/- 40177.63, N = 3294612739526605441300
MinAvgMaxGM-100061.069.278.0Karbon 70054.069.776.0CompuLab Airtop357.077.595.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.775.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System Temperature Monitor20406080100
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2CompuLab Airtop3Karbon 700GM-1000900K1800K2700K3600K4500KMin: 2943980 / Avg: 2946126.67 / Max: 2947380Min: 3917330 / Avg: 3952660 / Max: 3970630Min: 5360970 / Avg: 5441300 / Max: 5483210

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyCompuLab Airtop3Karbon 700GM-10001122334455SE +/- 0.19, N = 15SE +/- 0.27, N = 15SE +/- 0.44, N = 1222.2229.8749.50
MinAvgMaxKarbon 70043.061.072.0CompuLab Airtop340.066.082.0GM-100057.067.376.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.575.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyCompuLab Airtop3Karbon 700GM-10001020304050Min: 20.66 / Avg: 22.21 / Max: 23.35Min: 26.43 / Avg: 29.87 / Max: 31.21Min: 44.92 / Avg: 49.5 / Max: 50.61

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileCompuLab Airtop3Karbon 700GM-100050100150200250SE +/- 0.13, N = 3SE +/- 0.65, N = 3SE +/- 0.47, N = 398.51134.67212.65
MinAvgMaxKarbon 70053.067.076.0GM-100061.068.376.0CompuLab Airtop354.073.888.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Linux Kernel Compilation 5.4CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.475.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Linux Kernel Compilation 5.4System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileCompuLab Airtop3Karbon 700GM-10004080120160200Min: 98.27 / Avg: 98.51 / Max: 98.72Min: 133.55 / Avg: 134.67 / Max: 135.79Min: 211.76 / Avg: 212.65 / Max: 213.35

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsCompuLab Airtop3Karbon 700GM-10000.94021.88042.82063.76084.701SE +/- 0.00439, N = 3SE +/- 0.00379, N = 3SE +/- 0.00286, N = 31.960102.809924.17868
MinAvgMaxKarbon 70055.069.579.0GM-100063.071.382.0CompuLab Airtop361.079.4100.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD 2.14CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.975.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD 2.14System Temperature Monitor20406080100
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsCompuLab Airtop3Karbon 700GM-1000246810Min: 1.95 / Avg: 1.96 / Max: 1.97Min: 2.8 / Avg: 2.81 / Max: 2.82Min: 4.17 / Avg: 4.18 / Max: 4.18

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3CompuLab Airtop3Karbon 700GM-10001428425670SE +/- 0.09, N = 3SE +/- 0.53, N = 3SE +/- 0.28, N = 344.4462.3163.68MIN: 43.87 / MAX: 110.57MIN: 50.28 / MAX: 75.48MIN: 58.94 / MAX: 77.621. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
MinAvgMaxKarbon 70055.068.880.0GM-100061.069.180.0CompuLab Airtop357.075.694.0OpenBenchmarking.orgCelsius, Fewer Is BetterMobile Neural Network 2020-09-17CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.775.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterMobile Neural Network 2020-09-17System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3CompuLab Airtop3Karbon 700GM-10001224364860Min: 44.29 / Avg: 44.44 / Max: 44.61Min: 61.25 / Avg: 62.31 / Max: 62.87Min: 63.13 / Avg: 63.68 / Max: 63.971. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0GM-1000CompuLab Airtop3Karbon 7003691215SE +/- 0.617, N = 3SE +/- 0.048, N = 3SE +/- 0.005, N = 37.7837.84910.929MIN: 4.59 / MAX: 20.89MIN: 7.59 / MAX: 45.29MIN: 10.72 / MAX: 11.781. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0GM-1000CompuLab Airtop3Karbon 7003691215Min: 6.55 / Avg: 7.78 / Max: 8.4Min: 7.8 / Avg: 7.85 / Max: 7.95Min: 10.92 / Avg: 10.93 / Max: 10.941. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224CompuLab Airtop3GM-1000Karbon 7001.22042.44083.66124.88166.102SE +/- 0.006, N = 3SE +/- 0.368, N = 3SE +/- 0.008, N = 33.7924.7035.424MIN: 3.51 / MAX: 4.33MIN: 3.43 / MAX: 12.11MIN: 4.95 / MAX: 6.911. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224CompuLab Airtop3GM-1000Karbon 700246810Min: 3.78 / Avg: 3.79 / Max: 3.8Min: 3.97 / Avg: 4.7 / Max: 5.12Min: 5.41 / Avg: 5.42 / Max: 5.431. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50CompuLab Airtop3GM-1000Karbon 7001326395265SE +/- 0.04, N = 3SE +/- 0.24, N = 3SE +/- 0.05, N = 342.5851.8959.98MIN: 42.1 / MAX: 110.22MIN: 48.29 / MAX: 64.91MIN: 57.88 / MAX: 70.261. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50CompuLab Airtop3GM-1000Karbon 7001224364860Min: 42.5 / Avg: 42.58 / Max: 42.65Min: 51.41 / Avg: 51.89 / Max: 52.15Min: 59.89 / Avg: 59.98 / Max: 60.061. (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: SqueezeNetV1.0CompuLab Airtop3Karbon 700GM-10003691215SE +/- 0.007, N = 3SE +/- 0.008, N = 3SE +/- 0.024, N = 36.5819.17011.117MIN: 6.13 / MAX: 44.44MIN: 8.87 / MAX: 21.4MIN: 9.82 / MAX: 23.661. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0CompuLab Airtop3Karbon 700GM-10003691215Min: 6.57 / Avg: 6.58 / Max: 6.6Min: 9.16 / Avg: 9.17 / Max: 9.19Min: 11.07 / Avg: 11.12 / Max: 11.151. (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

Facebook RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncKarbon 700GM-1000CompuLab Airtop32K4K6K8K10KSE +/- 68.24, N = 3SE +/- 40.71, N = 15SE +/- 4.06, N = 39175347323441. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
MinAvgMaxCompuLab Airtop346.049.955.0Karbon 70049.050.654.0GM-100055.057.662.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.064.765.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6System Temperature Monitor20406080100
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncKarbon 700GM-1000CompuLab Airtop316003200480064008000Min: 9039 / Avg: 9175 / Max: 9253Min: 3180 / Avg: 3472.73 / Max: 3760Min: 2337 / Avg: 2344.33 / Max: 23511. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0CompuLab Airtop3Karbon 700GM-10004080120160200SE +/- 0.27, N = 3SE +/- 0.22, N = 3SE +/- 0.11, N = 399.61134.33190.821. (CXX) g++ options: -O3 -fPIC
MinAvgMaxKarbon 70054.068.881.0GM-100061.069.578.0CompuLab Airtop357.077.994.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.675.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0CompuLab Airtop3Karbon 700GM-1000306090120150Min: 99.27 / Avg: 99.61 / Max: 100.15Min: 133.91 / Avg: 134.33 / Max: 134.68Min: 190.69 / Avg: 190.82 / Max: 191.041. (CXX) g++ options: -O3 -fPIC

Facebook RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingCompuLab Airtop3Karbon 700GM-1000400K800K1200K1600K2000KSE +/- 19030.80, N = 9SE +/- 15797.71, N = 3SE +/- 8029.23, N = 8192337315224598087361. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
MinAvgMaxKarbon 70048.064.172.0GM-100055.065.774.0CompuLab Airtop345.069.986.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
MinAvgMaxGM-100054.066.075.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6System Temperature Monitor20406080100
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingCompuLab Airtop3Karbon 700GM-1000300K600K900K1200K1500KMin: 1872384 / Avg: 1923372.56 / Max: 2059306Min: 1493118 / Avg: 1522459 / Max: 1547280Min: 780815 / Avg: 808736.38 / Max: 8403101. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismCompuLab Airtop3Karbon 700GM-10000.34430.68861.03291.37721.7215SE +/- 0.01, N = 3SE +/- 0.02, N = 4SE +/- 0.01, N = 121.531.150.75MIN: 1.48 / MAX: 1.81MIN: 1.06 / MAX: 1.42MIN: 0.65 / MAX: 1.15
MinAvgMaxKarbon 70053.067.980.0GM-100061.068.578.0CompuLab Airtop357.075.291.0OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender 2.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.075.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender 2.3System Temperature Monitor20406080100
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismCompuLab Airtop3Karbon 700GM-1000246810Min: 1.52 / Avg: 1.53 / Max: 1.54Min: 1.13 / Avg: 1.15 / Max: 1.2Min: 0.73 / Avg: 0.75 / Max: 0.83

Zstd Compression

This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19CompuLab Airtop3GM-1000Karbon 700612182430SE +/- 0.09, N = 3SE +/- 0.25, N = 3SE +/- 0.00, N = 325.723.312.51. (CC) gcc options: -O3 -pthread -lz -llzma
MinAvgMaxKarbon 70046.057.462.0CompuLab Airtop345.064.874.0GM-100058.067.172.0OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.4.5CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.4.5System Temperature MonitorGM-1000CompuLab Airtop3142842567027.827.8
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19CompuLab Airtop3GM-1000Karbon 700612182430Min: 25.5 / Avg: 25.67 / Max: 25.8Min: 23 / Avg: 23.3 / Max: 23.8Min: 12.5 / Avg: 12.5 / Max: 12.51. (CC) gcc options: -O3 -pthread -lz -llzma

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointCompuLab Airtop3Karbon 700GM-100020406080100SE +/- 0.49, N = 15SE +/- 0.22, N = 3SE +/- 1.25, N = 343.0871.5697.14
MinAvgMaxKarbon 70051.066.274.0GM-100060.069.978.0CompuLab Airtop354.075.899.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.475.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointCompuLab Airtop3Karbon 700GM-100020406080100Min: 40.15 / Avg: 43.08 / Max: 45.1Min: 71.2 / Avg: 71.56 / Max: 71.95Min: 94.65 / Avg: 97.13 / Max: 98.61

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100CompuLab Airtop3GM-1000Karbon 70030K60K90K120K150KSE +/- 164.54, N = 3SE +/- 87.22, N = 3SE +/- 614.60, N = 31028691261401463791. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxKarbon 70053.068.078.0GM-100061.069.178.0CompuLab Airtop355.074.792.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.675.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13System Temperature Monitor20406080100
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100CompuLab Airtop3GM-1000Karbon 70030K60K90K120K150KMin: 102554 / Avg: 102869 / Max: 103109Min: 126011 / Avg: 126139.67 / Max: 126306Min: 145183 / Avg: 146379.33 / Max: 1472221. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Timed GDB GNU Debugger Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileCompuLab Airtop3Karbon 700GM-1000306090120150SE +/- 0.08, N = 3SE +/- 0.35, N = 3SE +/- 0.70, N = 391.59117.55155.40
MinAvgMaxKarbon 70052.065.675.0GM-100060.068.676.0CompuLab Airtop352.073.088.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.075.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileCompuLab Airtop3Karbon 700GM-1000306090120150Min: 91.45 / Avg: 91.59 / Max: 91.71Min: 117.08 / Avg: 117.55 / Max: 118.24Min: 154.06 / Avg: 155.39 / Max: 156.42

Timed HMMer Search

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchCompuLab Airtop3Karbon 700GM-1000306090120150SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3100.19131.20131.251. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
MinAvgMaxKarbon 70052.059.164.0GM-100059.067.872.0CompuLab Airtop352.069.680.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed HMMer Search 3.3.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed HMMer Search 3.3.1System Temperature MonitorGM-1000CompuLab Airtop3142842567027.827.8
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchCompuLab Airtop3Karbon 700GM-100020406080100Min: 100.02 / Avg: 100.19 / Max: 100.36Min: 131.09 / Avg: 131.2 / Max: 131.35Min: 131.21 / Avg: 131.25 / Max: 131.291. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

BYTE Unix Benchmark

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

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2CompuLab Airtop3Karbon 700GM-100010M20M30M40M50MSE +/- 180310.11, N = 3SE +/- 87756.94, N = 3SE +/- 15338.08, N = 348614938.038072622.236200967.7
MinAvgMaxKarbon 70046.054.163.0CompuLab Airtop344.059.878.0GM-100057.064.674.0OpenBenchmarking.orgCelsius, Fewer Is BetterBYTE Unix Benchmark 3.6CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterBYTE Unix Benchmark 3.6System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2CompuLab Airtop3Karbon 700GM-10008M16M24M32M40MMin: 48269766.5 / Avg: 48614938 / Max: 48877954.3Min: 37897110 / Avg: 38072622.23 / Max: 38161035.4Min: 36181160.5 / Avg: 36200967.7 / Max: 36231157.4

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 Airtop3700140021002800350034425241
MinAvgMaxCompuLab Airtop334.035.538.0Karbon 70044.050.753.0GM-100055.069.472.0OpenBenchmarking.orgCelsius, Fewer Is BetterGLmark2 2020.04CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterGLmark2 2020.04System Temperature MonitorGM-1000Karbon 700153045607527.827.8

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 PerformanceCompuLab Airtop3Karbon 700GM-10005001000150020002500SE +/- 21.92, N = 14SE +/- 13.61, N = 15SE +/- 29.90, N = 152539.91931.61492.71. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
MinAvgMaxKarbon 70046.063.573.0GM-100058.067.276.0CompuLab Airtop346.071.193.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenSSL 1.1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.375.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterOpenSSL 1.1.1System Temperature Monitor20406080100
OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceCompuLab Airtop3Karbon 700GM-1000400800120016002000Min: 2507.8 / Avg: 2539.87 / Max: 2823.6Min: 1904.6 / Avg: 1931.55 / Max: 2118.8Min: 1440.2 / Avg: 1492.68 / Max: 1909.11. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

VP9 libvpx Encoding

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0CompuLab Airtop3Karbon 700GM-1000246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 37.776.355.091. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
MinAvgMaxGM-100061.071.178.0Karbon 70053.071.174.0CompuLab Airtop356.082.890.0OpenBenchmarking.orgCelsius, Fewer Is BetterVP9 libvpx Encoding 1.8.2CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.675.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterVP9 libvpx Encoding 1.8.2System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0CompuLab Airtop3Karbon 700GM-10003691215Min: 7.73 / Avg: 7.77 / Max: 7.8Min: 6.32 / Avg: 6.35 / Max: 6.37Min: 5.05 / Avg: 5.09 / Max: 5.151. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

eSpeak-NG Speech Engine

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

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisCompuLab Airtop3Karbon 700GM-1000816243240SE +/- 0.13, N = 4SE +/- 0.46, N = 20SE +/- 0.19, N = 423.7131.6833.381. (CC) gcc options: -O2 -std=c99
MinAvgMaxKarbon 70048.060.765.0GM-100059.068.671.0CompuLab Airtop349.070.777.0OpenBenchmarking.orgCelsius, Fewer Is BettereSpeak-NG Speech Engine 20200907CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BettereSpeak-NG Speech Engine 20200907System Temperature MonitorGM-1000CompuLab Airtop3142842567027.827.8
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisCompuLab Airtop3Karbon 700GM-1000714212835Min: 23.33 / Avg: 23.71 / Max: 23.92Min: 29.66 / Avg: 31.67 / Max: 36.29Min: 32.84 / Avg: 33.38 / Max: 33.671. (CC) gcc options: -O2 -std=c99

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200CompuLab Airtop3GM-1000Karbon 70020K40K60K80K100KSE +/- 476.82, N = 3SE +/- 906.54, N = 3SE +/- 595.64, N = 379582894241112501. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxKarbon 70052.067.076.0GM-100061.069.079.0CompuLab Airtop354.072.991.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.575.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13System Temperature Monitor20406080100
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200CompuLab Airtop3GM-1000Karbon 70020K40K60K80K100KMin: 78703 / Avg: 79581.67 / Max: 80342Min: 87616 / Avg: 89424.33 / Max: 90442Min: 110059 / Avg: 111249.67 / Max: 1118781. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

RealSR-NCNN

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoCompuLab Airtop3GM-1000Karbon 70050100150200250SE +/- 0.03, N = 4SE +/- 0.02, N = 3SE +/- 0.02, N = 312.6337.88223.46
MinAvgMaxCompuLab Airtop342.045.063.0Karbon 70039.050.353.0GM-100050.051.060.0OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818System Temperature MonitorGM-1000CompuLab Airtop3122436486027.827.8
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoCompuLab Airtop3GM-1000Karbon 7004080120160200Min: 12.56 / Avg: 12.63 / Max: 12.72Min: 37.84 / Avg: 37.88 / Max: 37.92Min: 223.41 / Avg: 223.46 / Max: 223.49

John The Ripper

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

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishCompuLab Airtop3Karbon 700GM-10003K6K9K12K15KSE +/- 227.62, N = 4SE +/- 103.18, N = 10SE +/- 60.95, N = 1315272112277654-lbz21. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt
MinAvgMaxKarbon 70048.064.774.0GM-100060.068.276.0CompuLab Airtop350.072.988.0OpenBenchmarking.orgCelsius, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.375.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1System Temperature Monitor20406080100
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishCompuLab Airtop3Karbon 700GM-10003K6K9K12K15KMin: 15019 / Avg: 15271.75 / Max: 15954Min: 11074 / Avg: 11227.1 / Max: 12154Min: 7579 / Avg: 7653.77 / Max: 83851. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt

Timed PHP Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileCompuLab Airtop3Karbon 700GM-1000306090120150SE +/- 0.33, N = 3SE +/- 0.36, N = 3SE +/- 0.58, N = 364.6983.93114.80
MinAvgMaxKarbon 70057.070.280.0GM-100063.070.679.0CompuLab Airtop359.077.493.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed PHP Compilation 7.4.2CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.175.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTimed PHP Compilation 7.4.2System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileCompuLab Airtop3Karbon 700GM-100020406080100Min: 64.11 / Avg: 64.69 / Max: 65.24Min: 83.21 / Avg: 83.93 / Max: 84.32Min: 113.64 / Avg: 114.8 / Max: 115.38

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyCompuLab Airtop3Karbon 700GM-10001020304050SE +/- 0.19, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 329.0642.3643.08MIN: 28.14 / MAX: 101.73MIN: 41.91 / MAX: 50.86MIN: 41.28 / MAX: 53.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
MinAvgMaxKarbon 70053.067.372.0GM-100061.069.178.0CompuLab Airtop356.075.286.0OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20200916CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.475.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20200916System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyCompuLab Airtop3Karbon 700GM-1000918273645Min: 28.68 / Avg: 29.06 / Max: 29.27Min: 42.27 / Avg: 42.36 / Max: 42.4Min: 42.84 / Avg: 43.08 / Max: 43.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50CompuLab Airtop3Karbon 700GM-10001122334455SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.19, N = 328.5143.4947.33MIN: 27.85 / MAX: 37.31MIN: 41.8 / MAX: 45.89MIN: 44.74 / MAX: 59.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50CompuLab Airtop3Karbon 700GM-10001020304050Min: 28.46 / Avg: 28.51 / Max: 28.6Min: 43.42 / Avg: 43.49 / Max: 43.61Min: 47.11 / Avg: 47.33 / Max: 47.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetCompuLab Airtop3GM-1000Karbon 700612182430SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 314.2322.5323.87MIN: 14 / MAX: 14.66MIN: 21.39 / MAX: 32.99MIN: 23.7 / MAX: 32.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetCompuLab Airtop3GM-1000Karbon 700612182430Min: 14.07 / Avg: 14.23 / Max: 14.34Min: 22.45 / Avg: 22.53 / Max: 22.66Min: 23.78 / Avg: 23.87 / Max: 23.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18CompuLab Airtop3GM-1000Karbon 700612182430SE +/- 0.22, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 315.1923.5624.17MIN: 14.53 / MAX: 15.97MIN: 21.32 / MAX: 35.12MIN: 23.62 / MAX: 251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18CompuLab Airtop3GM-1000Karbon 700612182430Min: 14.75 / Avg: 15.19 / Max: 15.42Min: 23.5 / Avg: 23.56 / Max: 23.63Min: 24 / Avg: 24.17 / Max: 24.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16CompuLab Airtop3GM-1000Karbon 700306090120150SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 366.2883.07118.12MIN: 65.89 / MAX: 74.14MIN: 81.47 / MAX: 93.06MIN: 117.8 / MAX: 125.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16CompuLab Airtop3GM-1000Karbon 70020406080100Min: 66.12 / Avg: 66.28 / Max: 66.39Min: 82.81 / Avg: 83.07 / Max: 83.24Min: 118.01 / Avg: 118.12 / Max: 118.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetCompuLab Airtop3Karbon 700GM-1000612182430SE +/- 0.32, N = 3SE +/- 0.30, N = 3SE +/- 0.96, N = 315.0022.4023.99MIN: 14.19 / MAX: 15.74MIN: 21.48 / MAX: 24.2MIN: 17.71 / MAX: 26.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetCompuLab Airtop3Karbon 700GM-1000612182430Min: 14.36 / Avg: 15 / Max: 15.32Min: 21.79 / Avg: 22.4 / Max: 22.71Min: 22.09 / Avg: 23.99 / Max: 25.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceCompuLab Airtop3Karbon 700GM-10000.46580.93161.39741.86322.329SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.24, N = 31.471.892.07MIN: 1.35 / MAX: 1.58MIN: 1.72 / MAX: 2.41MIN: 1.46 / MAX: 3.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceCompuLab Airtop3Karbon 700GM-1000246810Min: 1.41 / Avg: 1.47 / Max: 1.51Min: 1.76 / Avg: 1.89 / Max: 1.96Min: 1.58 / Avg: 2.07 / Max: 2.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0CompuLab Airtop3Karbon 700GM-10003691215SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 1.08, N = 36.709.8710.25MIN: 6.37 / MAX: 7.12MIN: 9.55 / MAX: 10.62MIN: 7.48 / MAX: 13.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0CompuLab Airtop3Karbon 700GM-10003691215Min: 6.41 / Avg: 6.7 / Max: 6.85Min: 9.62 / Avg: 9.87 / Max: 10.01Min: 8.09 / Avg: 10.25 / Max: 11.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetCompuLab Airtop3Karbon 700GM-1000246810SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.81, N = 33.915.616.90MIN: 3.86 / MAX: 4.2MIN: 5.53 / MAX: 6.2MIN: 4.78 / MAX: 16.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetCompuLab Airtop3Karbon 700GM-10003691215Min: 3.89 / Avg: 3.91 / Max: 3.92Min: 5.57 / Avg: 5.61 / Max: 5.67Min: 5.29 / Avg: 6.9 / Max: 7.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2CompuLab Airtop3Karbon 700GM-10001.20382.40763.61144.81526.019SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.61, N = 33.314.275.35MIN: 3.05 / MAX: 3.63MIN: 4.22 / MAX: 4.95MIN: 3.72 / MAX: 141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2CompuLab Airtop3Karbon 700GM-1000246810Min: 3.24 / Avg: 3.31 / Max: 3.43Min: 4.24 / Avg: 4.27 / Max: 4.31Min: 4.13 / Avg: 5.35 / Max: 5.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3CompuLab Airtop3Karbon 700GM-1000246810SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.69, N = 34.055.936.51MIN: 4 / MAX: 4.34MIN: 5.84 / MAX: 10.68MIN: 4.68 / MAX: 9.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3CompuLab Airtop3Karbon 700GM-10003691215Min: 4.04 / Avg: 4.05 / Max: 4.06Min: 5.9 / Avg: 5.93 / Max: 5.98Min: 5.14 / Avg: 6.51 / Max: 7.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2CompuLab Airtop3GM-1000Karbon 700246810SE +/- 0.04, N = 3SE +/- 0.22, N = 3SE +/- 0.02, N = 35.156.617.82MIN: 5.01 / MAX: 5.7MIN: 5.61 / MAX: 9.69MIN: 7.64 / MAX: 8.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2CompuLab Airtop3GM-1000Karbon 7003691215Min: 5.1 / Avg: 5.15 / Max: 5.23Min: 6.17 / Avg: 6.61 / Max: 6.89Min: 7.79 / Avg: 7.82 / Max: 7.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetCompuLab Airtop3Karbon 700GM-1000714212835SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.17, N = 319.0027.5730.33MIN: 18.81 / MAX: 19.51MIN: 27.32 / MAX: 28.23MIN: 28.89 / MAX: 41.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetCompuLab Airtop3Karbon 700GM-1000714212835Min: 18.96 / Avg: 19 / Max: 19.06Min: 27.56 / Avg: 27.57 / Max: 27.58Min: 30.09 / Avg: 30.33 / Max: 30.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetCompuLab Airtop3Karbon 700GM-1000612182430SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.12, N = 316.2023.5025.54MIN: 15.74 / MAX: 23.82MIN: 23.31 / MAX: 24.17MIN: 24.15 / MAX: 35.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetCompuLab Airtop3Karbon 700GM-1000612182430Min: 16.15 / Avg: 16.2 / Max: 16.25Min: 23.5 / Avg: 23.5 / Max: 23.51Min: 25.33 / Avg: 25.54 / Max: 25.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

PostgreSQL pgbench

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average LatencyKarbon 700GM-1000CompuLab Airtop30.53371.06741.60112.13482.6685SE +/- 0.096, N = 15SE +/- 0.018, N = 3SE +/- 0.125, N = 121.1451.9882.3721. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxCompuLab Airtop342.046.955.0Karbon 70047.050.055.0GM-100058.058.960.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor1632486480
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0System Temperature MonitorGM-1000CompuLab Airtop3142842567027.827.8
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average LatencyKarbon 700GM-1000CompuLab Airtop3246810Min: 0.84 / Avg: 1.15 / Max: 1.92Min: 1.95 / Avg: 1.99 / Max: 2.02Min: 1.95 / Avg: 2.37 / Max: 3.131. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read WriteKarbon 700GM-1000CompuLab Airtop32004006008001000SE +/- 59.06, N = 15SE +/- 4.74, N = 3SE +/- 20.79, N = 129415034341. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read WriteKarbon 700GM-1000CompuLab Airtop3170340510680850Min: 522.29 / Avg: 941.12 / Max: 1185.62Min: 495.71 / Avg: 503.09 / Max: 511.93Min: 319.35 / Avg: 433.67 / Max: 512.381. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

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: 2CompuLab Airtop3Karbon 700GM-100020406080100SE +/- 0.11, N = 3SE +/- 0.57, N = 3SE +/- 1.76, N = 359.4177.81110.741. (CXX) g++ options: -O3 -fPIC
MinAvgMaxKarbon 70053.069.081.0GM-100061.069.478.0CompuLab Airtop356.076.794.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.375.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2CompuLab Airtop3Karbon 700GM-100020406080100Min: 59.19 / Avg: 59.41 / Max: 59.55Min: 76.67 / Avg: 77.81 / Max: 78.4Min: 107.37 / Avg: 110.74 / Max: 113.321. (CXX) g++ options: -O3 -fPIC

RawTherapee

RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeCompuLab Airtop3Karbon 700GM-100020406080100SE +/- 0.51, N = 3SE +/- 0.32, N = 3SE +/- 1.25, N = 360.8385.4395.481. RawTherapee, version 5.8, command line.
MinAvgMaxKarbon 70050.066.374.0GM-100060.069.977.0CompuLab Airtop351.076.788.0OpenBenchmarking.orgCelsius, Fewer Is BetterRawTherapeeCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.475.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterRawTherapeeSystem Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeCompuLab Airtop3Karbon 700GM-100020406080100Min: 59.81 / Avg: 60.83 / Max: 61.38Min: 84.78 / Avg: 85.43 / Max: 85.78Min: 92.99 / Avg: 95.48 / Max: 96.861. RawTherapee, version 5.8, command line.

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceCompuLab Airtop3Karbon 700GM-1000110220330440550SE +/- 0.67, N = 3376479505
MinAvgMaxKarbon 70046.060.863.0CompuLab Airtop344.066.474.0GM-100057.070.273.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceCompuLab Airtop3Karbon 700GM-100090180270360450Min: 504 / Avg: 505.33 / Max: 506

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: CPUCompuLab Airtop3Karbon 700GM-10003691215SE +/- 0.04455, N = 15SE +/- 0.04542, N = 15SE +/- 0.22450, N = 154.497386.273429.53324MIN: 3.82MIN: 5.45MIN: 6.671. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70052.065.881.0GM-100061.068.278.0CompuLab Airtop355.072.090.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.475.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPUCompuLab Airtop3Karbon 700GM-10003691215Min: 3.97 / Avg: 4.5 / Max: 4.7Min: 5.64 / Avg: 6.27 / Max: 6.35Min: 6.94 / Avg: 9.53 / Max: 10.461. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianCompuLab Airtop3Karbon 700GM-1000612182430SE +/- 0.15, N = 5SE +/- 0.20, N = 15SE +/- 0.28, N = 1412.4516.8126.12
MinAvgMaxKarbon 70048.062.874.0GM-100059.068.077.0CompuLab Airtop349.070.487.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.975.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianCompuLab Airtop3Karbon 700GM-1000612182430Min: 11.94 / Avg: 12.45 / Max: 12.86Min: 14.64 / Avg: 16.81 / Max: 18.66Min: 22.58 / Avg: 26.11 / Max: 26.66

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastCompuLab Airtop3Karbon 700GM-10003691215SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 312.058.615.621. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxKarbon 70052.065.779.0GM-100060.068.178.0CompuLab Airtop354.073.791.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.675.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastCompuLab Airtop3Karbon 700GM-100048121620Min: 11.95 / Avg: 12.05 / Max: 12.19Min: 8.51 / Avg: 8.61 / Max: 8.8Min: 5.56 / Avg: 5.62 / Max: 5.741. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100CompuLab Airtop3GM-1000Karbon 70012K24K36K48K60KSE +/- 402.90, N = 3SE +/- 486.77, N = 7SE +/- 777.23, N = 43930944245547331. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxKarbon 70050.066.175.0GM-100060.068.978.0CompuLab Airtop351.072.890.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.075.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13System Temperature Monitor20406080100
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100CompuLab Airtop3GM-1000Karbon 7009K18K27K36K45KMin: 38523 / Avg: 39309.33 / Max: 39855Min: 41475 / Avg: 44245.29 / Max: 45540Min: 52403 / Avg: 54732.5 / Max: 556041. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastCompuLab Airtop3Karbon 700GM-10001122334455SE +/- 0.46, N = 4SE +/- 0.34, N = 14SE +/- 0.24, N = 1447.2134.6923.541. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxKarbon 70052.066.679.0GM-100061.068.278.0CompuLab Airtop355.072.590.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.375.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastCompuLab Airtop3Karbon 700GM-10001020304050Min: 45.85 / Avg: 47.21 / Max: 47.92Min: 34.25 / Avg: 34.69 / Max: 39.13Min: 23.26 / Avg: 23.54 / Max: 26.621. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

KeyDB

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

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16CompuLab Airtop3Karbon 700GM-1000160K320K480K640K800KSE +/- 4773.08, N = 3SE +/- 6113.88, N = 3SE +/- 3781.40, N = 3751370.01570969.82458524.511. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
MinAvgMaxKarbon 70048.061.470.0GM-100058.065.373.0CompuLab Airtop350.068.682.0OpenBenchmarking.orgCelsius, Fewer Is BetterKeyDB 6.0.16CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterKeyDB 6.0.16System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16CompuLab Airtop3Karbon 700GM-1000130K260K390K520K650KMin: 743323.33 / Avg: 751370.01 / Max: 759841.39Min: 562998.3 / Avg: 570969.82 / Max: 582985.51Min: 454149.5 / Avg: 458524.51 / Max: 466054.441. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

x265

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KCompuLab Airtop3Karbon 700GM-10003691215SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 312.369.006.531. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxKarbon 70053.068.777.0GM-100061.069.680.0CompuLab Airtop356.076.791.0OpenBenchmarking.orgCelsius, Fewer Is Betterx265 3.4CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.575.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterx265 3.4System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KCompuLab Airtop3Karbon 700GM-100048121620Min: 12.13 / Avg: 12.36 / Max: 12.47Min: 8.87 / Avg: 9 / Max: 9.21Min: 6.47 / Avg: 6.53 / Max: 6.641. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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_startupCompuLab Airtop3Karbon 700GM-10003691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 36.828.529.01
MinAvgMaxCompuLab Airtop341.052.660.0Karbon 70044.054.058.0GM-100057.065.668.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupCompuLab Airtop3Karbon 700GM-10003691215Min: 6.82 / Avg: 6.82 / Max: 6.82Min: 8.51 / Avg: 8.52 / Max: 8.53Min: 8.91 / Avg: 9.01 / Max: 9.13

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPUCompuLab Airtop3Karbon 700GM-10003691215SE +/- 0.06779, N = 4SE +/- 0.14132, N = 12SE +/- 0.15350, N = 135.046736.6180310.80921MIN: 4.56MIN: 4.86MIN: 6.791. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70052.067.483.0GM-100061.068.478.0CompuLab Airtop356.072.490.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.075.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPUCompuLab Airtop3Karbon 700GM-10003691215Min: 4.9 / Avg: 5.05 / Max: 5.21Min: 5.06 / Avg: 6.62 / Max: 6.78Min: 9.07 / Avg: 10.81 / Max: 11.291. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileCompuLab Airtop3Karbon 700GM-100070K140K210K280K350KSE +/- 758.89, N = 3SE +/- 2829.30, N = 3SE +/- 4505.57, N = 4199708262007321246
MinAvgMaxKarbon 70054.069.178.0GM-100061.069.278.0CompuLab Airtop357.076.791.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System Temperature Monitor20406080100
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileCompuLab Airtop3Karbon 700GM-100060K120K180K240K300KMin: 198260 / Avg: 199708 / Max: 200826Min: 256357 / Avg: 262007 / Max: 265102Min: 307741 / Avg: 321246 / Max: 326227

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetCompuLab Airtop3Karbon 700GM-100090K180K270K360K450KSE +/- 69.61, N = 3SE +/- 3356.24, N = 3SE +/- 5447.42, N = 4226512298283406369
MinAvgMaxKarbon 70053.068.575.0GM-100060.068.978.0CompuLab Airtop357.076.693.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System Temperature Monitor20406080100
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetCompuLab Airtop3Karbon 700GM-100070K140K210K280K350KMin: 226406 / Avg: 226511.67 / Max: 226643Min: 291571 / Avg: 298283.33 / Max: 301679Min: 390032 / Avg: 406369.25 / Max: 412184

Facebook RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadCompuLab Airtop3Karbon 700GM-10009M18M27M36M45MSE +/- 49809.36, N = 3SE +/- 368380.75, N = 3SE +/- 338773.40, N = 44346559631537972246163311. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
MinAvgMaxKarbon 70052.067.179.0GM-100062.069.380.0CompuLab Airtop353.073.091.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.375.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6System Temperature Monitor20406080100
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadCompuLab Airtop3Karbon 700GM-10008M16M24M32M40MMin: 43372847 / Avg: 43465595.67 / Max: 43543453Min: 31150412 / Avg: 31537972.33 / Max: 32274395Min: 24244615 / Avg: 24616331 / Max: 256318081. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPUCompuLab Airtop3Karbon 700GM-10003691215SE +/- 0.02496, N = 3SE +/- 0.11012, N = 12SE +/- 0.13560, N = 125.642157.7204812.82030MIN: 4.78MIN: 6.41MIN: 8.951. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70052.067.681.0GM-100061.068.879.0CompuLab Airtop355.070.591.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.076.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPUCompuLab Airtop3Karbon 700GM-100048121620Min: 5.59 / Avg: 5.64 / Max: 5.67Min: 6.55 / Avg: 7.72 / Max: 7.97Min: 11.33 / Avg: 12.82 / Max: 131. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantCompuLab Airtop3Karbon 700GM-100060K120K180K240K300KSE +/- 67.72, N = 3SE +/- 2286.50, N = 3SE +/- 4770.18, N = 3156496205126279524
MinAvgMaxGM-100061.069.378.0Karbon 70054.069.876.0CompuLab Airtop357.076.993.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System Temperature Monitor20406080100
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantCompuLab Airtop3Karbon 700GM-100050K100K150K200K250KMin: 156370 / Avg: 156496 / Max: 156602Min: 200553 / Avg: 205126 / Max: 207415Min: 269984 / Avg: 279524.33 / Max: 284312

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatCompuLab Airtop3Karbon 700GM-100060K120K180K240K300KSE +/- 175.70, N = 3SE +/- 2261.01, N = 3SE +/- 4495.68, N = 3153645202055278393
MinAvgMaxGM-100061.069.278.0Karbon 70054.069.777.0CompuLab Airtop357.076.894.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System Temperature Monitor20406080100
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatCompuLab Airtop3Karbon 700GM-100050K100K150K200K250KMin: 153358 / Avg: 153644.67 / Max: 153964Min: 197533 / Avg: 202055 / Max: 204325Min: 269404 / Avg: 278393 / Max: 283066

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyCompuLab Airtop3GM-1000Karbon 7001530456075SE +/- 0.19, N = 3SE +/- 0.01, N = 3SE +/- 0.28, N = 38.5016.2865.87MIN: 8.02 / MAX: 9.19MIN: 15.64 / MAX: 17.64MIN: 50.88 / MAX: 68.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
MinAvgMaxKarbon 70050.058.165.0GM-100059.066.870.0CompuLab Airtop352.069.480.0OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20200916CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20200916System Temperature MonitorGM-1000CompuLab Airtop3142842567027.827.8
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyCompuLab Airtop3GM-1000Karbon 7001326395265Min: 8.31 / Avg: 8.5 / Max: 8.88Min: 16.26 / Avg: 16.28 / Max: 16.29Min: 65.32 / Avg: 65.87 / Max: 66.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50CompuLab Airtop3GM-1000Karbon 7001122334455SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 33.7513.2250.22MIN: 12.84 / MAX: 29.57MIN: 49.9 / MAX: 50.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50CompuLab Airtop3GM-1000Karbon 7001020304050Min: 3.74 / Avg: 3.75 / Max: 3.77Min: 13.15 / Avg: 13.22 / Max: 13.28Min: 50.21 / Avg: 50.22 / Max: 50.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetCompuLab Airtop3GM-1000Karbon 700612182430SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 32.118.1725.92MIN: 7.83 / MAX: 8.81MIN: 25.54 / MAX: 26.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetCompuLab Airtop3GM-1000Karbon 700612182430Min: 2.08 / Avg: 2.11 / Max: 2.17Min: 8.08 / Avg: 8.17 / Max: 8.32Min: 25.9 / Avg: 25.92 / Max: 25.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18CompuLab Airtop3GM-1000Karbon 700612182430SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 31.685.8023.85MIN: 5.62 / MAX: 13.86MIN: 23.55 / MAX: 24.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18CompuLab Airtop3GM-1000Karbon 700612182430Min: 1.64 / Avg: 1.68 / Max: 1.74Min: 5.79 / Avg: 5.8 / Max: 5.81Min: 23.81 / Avg: 23.85 / Max: 23.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16CompuLab Airtop3GM-1000Karbon 700306090120150SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 38.3133.33151.46MIN: 32.53 / MAX: 40.22MIN: 150.54 / MAX: 152.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16CompuLab Airtop3GM-1000Karbon 700306090120150Min: 8.29 / Avg: 8.31 / Max: 8.35Min: 33.28 / Avg: 33.33 / Max: 33.36Min: 151.43 / Avg: 151.46 / Max: 151.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetCompuLab Airtop3GM-1000Karbon 700612182430SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 33.227.8423.54MIN: 3.2 / MAX: 3.32MIN: 7.62 / MAX: 10.98MIN: 23.24 / MAX: 23.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetCompuLab Airtop3GM-1000Karbon 700510152025Min: 3.21 / Avg: 3.22 / Max: 3.22Min: 7.79 / Avg: 7.84 / Max: 7.88Min: 23.5 / Avg: 23.54 / Max: 23.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceCompuLab Airtop3GM-1000Karbon 7000.54231.08461.62692.16922.7115SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.31, N = 30.611.042.41MIN: 0.6 / MAX: 0.63MIN: 0.94 / MAX: 1.7MIN: 1.77 / MAX: 5.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceCompuLab Airtop3GM-1000Karbon 700246810Min: 0.61 / Avg: 0.61 / Max: 0.61Min: 1.01 / Avg: 1.04 / Max: 1.05Min: 1.87 / Avg: 2.41 / Max: 2.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0CompuLab Airtop3GM-1000Karbon 70048121620SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 32.645.2316.47MIN: 2.61 / MAX: 2.67MIN: 5.06 / MAX: 5.95MIN: 16.27 / MAX: 16.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0CompuLab Airtop3GM-1000Karbon 70048121620Min: 2.63 / Avg: 2.64 / Max: 2.64Min: 5.18 / Avg: 5.23 / Max: 5.26Min: 16.36 / Avg: 16.47 / Max: 16.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetCompuLab Airtop3GM-1000Karbon 7003691215SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.69, N = 31.483.109.26MIN: 1.46 / MAX: 1.51MIN: 3 / MAX: 4.16MIN: 8.48 / MAX: 11.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetCompuLab Airtop3GM-1000Karbon 7003691215Min: 1.47 / Avg: 1.48 / Max: 1.48Min: 3.06 / Avg: 3.1 / Max: 3.13Min: 8.56 / Avg: 9.26 / Max: 10.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2CompuLab Airtop3GM-1000Karbon 7003691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.55, N = 31.302.3810.10MIN: 1.29 / MAX: 1.36MIN: 2.24 / MAX: 4.75MIN: 7.39 / MAX: 12.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2CompuLab Airtop3GM-1000Karbon 7003691215Min: 1.3 / Avg: 1.3 / Max: 1.3Min: 2.35 / Avg: 2.38 / Max: 2.39Min: 9.29 / Avg: 10.1 / Max: 11.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3CompuLab Airtop3GM-1000Karbon 7003691215SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.22, N = 31.663.3910.19MIN: 1.65 / MAX: 1.69MIN: 3.29 / MAX: 4.22MIN: 9.74 / MAX: 10.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3CompuLab Airtop3GM-1000Karbon 7003691215Min: 1.66 / Avg: 1.66 / Max: 1.67Min: 3.34 / Avg: 3.39 / Max: 3.42Min: 9.77 / Avg: 10.19 / Max: 10.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2CompuLab Airtop3GM-1000Karbon 700246810SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 31.433.008.17MIN: 1.4 / MAX: 9.39MIN: 2.89 / MAX: 3.84MIN: 7.83 / MAX: 8.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2CompuLab Airtop3GM-1000Karbon 7003691215Min: 1.41 / Avg: 1.43 / Max: 1.45Min: 2.95 / Avg: 3 / Max: 3.04Min: 8.03 / Avg: 8.17 / Max: 8.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetCompuLab Airtop3GM-1000Karbon 700612182430SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.29, N = 34.599.3126.19MIN: 4.54 / MAX: 12.63MIN: 9 / MAX: 10.28MIN: 23.7 / MAX: 35.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetCompuLab Airtop3GM-1000Karbon 700612182430Min: 4.57 / Avg: 4.59 / Max: 4.63Min: 9.31 / Avg: 9.31 / Max: 9.32Min: 25.63 / Avg: 26.19 / Max: 26.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetCompuLab Airtop3GM-1000Karbon 700612182430SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.17, N = 33.6310.2727.58MIN: 3.57 / MAX: 3.76MIN: 9.98 / MAX: 10.78MIN: 27.17 / MAX: 31.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetCompuLab Airtop3GM-1000Karbon 700612182430Min: 3.61 / Avg: 3.63 / Max: 3.64Min: 10.26 / Avg: 10.27 / Max: 10.27Min: 27.36 / Avg: 27.58 / Max: 27.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Hugin

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

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeCompuLab Airtop3Karbon 700GM-100020406080100SE +/- 0.49, N = 3SE +/- 0.35, N = 3SE +/- 0.89, N = 345.8458.5775.79
MinAvgMaxKarbon 70052.067.075.0GM-100061.072.277.0CompuLab Airtop356.080.192.0OpenBenchmarking.orgCelsius, Fewer Is BetterHuginCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.175.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterHuginSystem Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeCompuLab Airtop3Karbon 700GM-10001530456075Min: 45.17 / Avg: 45.84 / Max: 46.79Min: 57.89 / Avg: 58.57 / Max: 59Min: 74.1 / Avg: 75.79 / Max: 77.14

PostgreSQL pgbench

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average LatencyKarbon 700GM-1000CompuLab Airtop320406080100SE +/- 2.36, N = 15SE +/- 0.31, N = 3SE +/- 0.25, N = 367.1768.9083.731. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxCompuLab Airtop342.043.746.0Karbon 70043.045.449.0GM-100058.059.060.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor1632486480
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0System Temperature MonitorGM-1000CompuLab Airtop3142842567027.827.8
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average LatencyKarbon 700GM-1000CompuLab Airtop31632486480Min: 59.4 / Avg: 67.17 / Max: 85.31Min: 68.28 / Avg: 68.9 / Max: 69.29Min: 83.25 / Avg: 83.73 / Max: 84.091. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read WriteKarbon 700GM-1000CompuLab Airtop3160320480640800SE +/- 23.33, N = 15SE +/- 3.31, N = 3SE +/- 1.80, N = 37567265971. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read WriteKarbon 700GM-1000CompuLab Airtop3130260390520650Min: 586.24 / Avg: 755.96 / Max: 841.87Min: 721.69 / Avg: 725.84 / Max: 732.38Min: 594.62 / Avg: 597.23 / Max: 600.71. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average LatencyCompuLab Airtop3Karbon 700GM-10000.08780.17560.26340.35120.439SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.003, N = 150.1690.2210.3901. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxKarbon 70046.057.167.0CompuLab Airtop342.058.977.0GM-100057.065.274.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.064.175.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average LatencyCompuLab Airtop3Karbon 700GM-100012345Min: 0.17 / Avg: 0.17 / Max: 0.17Min: 0.22 / Avg: 0.22 / Max: 0.22Min: 0.35 / Avg: 0.39 / Max: 0.41. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read OnlyCompuLab Airtop3Karbon 700GM-100060K120K180K240K300KSE +/- 2332.06, N = 3SE +/- 470.82, N = 3SE +/- 1251.67, N = 152965452266751283731. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read OnlyCompuLab Airtop3Karbon 700GM-100050K100K150K200K250KMin: 292821.58 / Avg: 296544.71 / Max: 300839.21Min: 226050.55 / Avg: 226674.84 / Max: 227597.49Min: 125521.71 / Avg: 128373.27 / Max: 144975.271. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

rays1bench

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

OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneCompuLab Airtop3Karbon 700GM-10001020304050SE +/- 0.09, N = 3SE +/- 0.30, N = 13SE +/- 0.19, N = 346.1131.9319.74
MinAvgMaxGM-100061.069.378.0Karbon 70056.069.787.0CompuLab Airtop359.073.793.0OpenBenchmarking.orgCelsius, Fewer Is Betterrays1bench 2020-01-09CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.475.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterrays1bench 2020-01-09System Temperature Monitor20406080100
OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneCompuLab Airtop3Karbon 700GM-1000918273645Min: 45.93 / Avg: 46.11 / Max: 46.21Min: 31.53 / Avg: 31.93 / Max: 35.47Min: 19.54 / Avg: 19.74 / Max: 20.12

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaCompuLab Airtop3Karbon 700GM-10001428425670SE +/- 0.52, N = 3SE +/- 0.73, N = 3SE +/- 1.11, N = 342.1460.8164.72
MinAvgMaxKarbon 70049.067.073.0GM-100060.068.876.0CompuLab Airtop351.076.486.0OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.875.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkSystem Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaCompuLab Airtop3Karbon 700GM-10001326395265Min: 41.12 / Avg: 42.14 / Max: 42.8Min: 59.36 / Avg: 60.81 / Max: 61.6Min: 62.5 / Avg: 64.72 / Max: 65.89

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPUCompuLab Airtop3Karbon 700GM-10001530456075SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.33, N = 327.7541.1367.77MIN: 25.65MIN: 35.58MIN: 59.541. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70053.067.676.0GM-100061.068.677.0CompuLab Airtop356.075.188.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.175.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPUCompuLab Airtop3Karbon 700GM-10001326395265Min: 27.68 / Avg: 27.75 / Max: 27.86Min: 41.04 / Avg: 41.13 / Max: 41.2Min: 67.23 / Avg: 67.77 / Max: 68.361. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPUCompuLab Airtop3Karbon 700GM-1000306090120150SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.53, N = 367.69108.94114.29MIN: 65.58MIN: 99.88MIN: 99.971. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70052.065.875.0GM-100061.068.174.0CompuLab Airtop356.073.388.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.875.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPUCompuLab Airtop3Karbon 700GM-100020406080100Min: 67.46 / Avg: 67.69 / Max: 67.88Min: 108.79 / Avg: 108.94 / Max: 109.14Min: 113.26 / Avg: 114.29 / Max: 1151. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialCompuLab Airtop3Karbon 700GM-1000246810SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 67.535.273.70
MinAvgMaxKarbon 70054.067.179.0GM-100061.068.677.0CompuLab Airtop357.073.889.0OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.2.0System Temperature Monitor20406080100
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialCompuLab Airtop3Karbon 700GM-10003691215Min: 7.43 / Avg: 7.53 / Max: 7.72Min: 5.18 / Avg: 5.27 / Max: 5.44Min: 3.65 / Avg: 3.7 / Max: 3.91

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3CompuLab Airtop3Karbon 700GM-100080160240320400SE +/- 0.67, N = 3264332352
MinAvgMaxKarbon 70049.058.765.0CompuLab Airtop350.061.178.0GM-100058.067.872.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3CompuLab Airtop3Karbon 700GM-100060120180240300Min: 263 / Avg: 263.67 / Max: 265

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughCompuLab Airtop3Karbon 700GM-100020406080100SE +/- 0.49, N = 3SE +/- 0.72, N = 3SE +/- 1.07, N = 333.2346.0976.981. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxKarbon 70045.061.172.0CompuLab Airtop344.066.882.0GM-100059.067.976.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughCompuLab Airtop3Karbon 700GM-10001530456075Min: 32.25 / Avg: 33.23 / Max: 33.75Min: 44.65 / Avg: 46.09 / Max: 46.88Min: 74.85 / Avg: 76.98 / Max: 78.191. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPUCompuLab Airtop3Karbon 700GM-10001.0892.1783.2674.3565.445SE +/- 0.00614, N = 4SE +/- 0.03957, N = 15SE +/- 0.10124, N = 151.889892.555644.84005MIN: 1.55MIN: 1.92MIN: 3.331. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70053.067.180.0GM-100061.068.479.0CompuLab Airtop357.072.091.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.575.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPUCompuLab Airtop3Karbon 700GM-1000246810Min: 1.87 / Avg: 1.89 / Max: 1.9Min: 2.01 / Avg: 2.56 / Max: 2.68Min: 3.42 / Avg: 4.84 / Max: 4.981. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Git

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsCompuLab Airtop3Karbon 700GM-10001428425670SE +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.41, N = 344.9756.4560.371. git version 2.27.0
MinAvgMaxKarbon 70051.062.465.0GM-100060.070.874.0CompuLab Airtop353.074.579.0OpenBenchmarking.orgCelsius, Fewer Is BetterGitCPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterGitSystem Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsCompuLab Airtop3Karbon 700GM-10001224364860Min: 44.8 / Avg: 44.97 / Max: 45.05Min: 56.19 / Avg: 56.45 / Max: 56.73Min: 59.56 / Avg: 60.37 / Max: 60.791. git version 2.27.0

OCRMyPDF

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 10.3.1+dfsgProcessing 60 Page PDF DocumentCompuLab Airtop3Karbon 700GM-1000918273645SE +/- 0.07, N = 3SE +/- 0.34, N = 6SE +/- 0.48, N = 621.6928.1939.61
MinAvgMaxKarbon 70051.068.079.0GM-100061.070.679.0CompuLab Airtop354.075.691.0OpenBenchmarking.orgCelsius, Fewer Is BetterOCRMyPDF 10.3.1+dfsgCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.775.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterOCRMyPDF 10.3.1+dfsgSystem Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 10.3.1+dfsgProcessing 60 Page PDF DocumentCompuLab Airtop3Karbon 700GM-1000816243240Min: 21.58 / Avg: 21.69 / Max: 21.8Min: 26.49 / Avg: 28.19 / Max: 28.69Min: 37.2 / Avg: 39.61 / Max: 40.36

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastCompuLab Airtop3Karbon 700GM-1000510152025SE +/- 0.12, N = 3SE +/- 0.24, N = 4SE +/- 0.15, N = 422.2116.0010.381. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxKarbon 70052.066.279.0GM-100061.068.278.0CompuLab Airtop355.073.190.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastCompuLab Airtop3Karbon 700GM-1000510152025Min: 21.98 / Avg: 22.21 / Max: 22.39Min: 15.72 / Avg: 16 / Max: 16.71Min: 10.22 / Avg: 10.38 / Max: 10.811. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

DaCapo Benchmark

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

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapCompuLab Airtop3Karbon 700GM-100014002800420056007000SE +/- 30.62, N = 13SE +/- 43.34, N = 4SE +/- 85.52, N = 20369251726680
MinAvgMaxKarbon 70048.060.469.0CompuLab Airtop349.068.383.0GM-100059.068.676.0OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.069.575.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1System Temperature Monitor20406080100
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapCompuLab Airtop3Karbon 700GM-100012002400360048006000Min: 3532 / Avg: 3692.38 / Max: 3893Min: 5046 / Avg: 5172 / Max: 5242Min: 5549 / Avg: 6679.85 / Max: 7130

7-Zip Compression

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

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestCompuLab Airtop3Karbon 700GM-100010K20K30K40K50KSE +/- 370.06, N = 3SE +/- 59.48, N = 3SE +/- 339.20, N = 44875233135241101. (CXX) g++ options: -pipe -lpthread
MinAvgMaxKarbon 70054.068.275.0GM-100061.069.276.0CompuLab Airtop357.075.893.0OpenBenchmarking.orgCelsius, Fewer Is Better7-Zip Compression 16.02CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.775.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Better7-Zip Compression 16.02System Temperature Monitor20406080100
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestCompuLab Airtop3Karbon 700GM-10008K16K24K32K40KMin: 48097 / Avg: 48751.67 / Max: 49378Min: 33025 / Avg: 33135.33 / Max: 33229Min: 23670 / Avg: 24110 / Max: 251171. (CXX) g++ options: -pipe -lpthread

DaCapo Benchmark

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

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2CompuLab Airtop3Karbon 700GM-10007001400210028003500SE +/- 28.32, N = 20SE +/- 41.03, N = 20SE +/- 39.15, N = 20292832673339
MinAvgMaxKarbon 70050.058.667.0CompuLab Airtop351.064.683.0GM-100060.067.775.0OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.275.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1System Temperature Monitor20406080100
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2CompuLab Airtop3Karbon 700GM-10006001200180024003000Min: 2675 / Avg: 2928.3 / Max: 3192Min: 2953 / Avg: 3267.35 / Max: 3682Min: 3013 / Avg: 3338.75 / Max: 3706

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 70048121620SE +/- 0.070, N = 15SE +/- 0.183, N = 15SE +/- 0.156, N = 155.9288.93713.6731. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxKarbon 70048.060.965.0GM-100058.065.071.0CompuLab Airtop350.068.678.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek RandomGM-1000CompuLab Airtop3Karbon 70048121620Min: 5.43 / Avg: 5.93 / Max: 6.16Min: 8.52 / Avg: 8.94 / Max: 11.46Min: 12.82 / Avg: 13.67 / Max: 14.681. (CXX) g++ options: -O3 -lsnappy -lpthread

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goCompuLab Airtop3Karbon 700GM-100060120180240300SE +/- 1.67, N = 3200255270
MinAvgMaxKarbon 70050.057.967.0GM-100059.065.573.0CompuLab Airtop353.076.684.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goCompuLab Airtop3Karbon 700GM-100050100150200250Min: 267 / Avg: 270.33 / Max: 272

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumCompuLab Airtop3Karbon 700GM-1000510152025SE +/- 0.12, N = 3SE +/- 0.23, N = 3SE +/- 0.15, N = 319.0213.819.011. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxKarbon 70051.065.478.0GM-100060.068.078.0CompuLab Airtop354.072.890.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.375.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumCompuLab Airtop3Karbon 700GM-1000510152025Min: 18.85 / Avg: 19.02 / Max: 19.24Min: 13.57 / Avg: 13.81 / Max: 14.27Min: 8.86 / Avg: 9.01 / Max: 9.31. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

x265

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pCompuLab Airtop3Karbon 700GM-10001224364860SE +/- 0.30, N = 5SE +/- 0.41, N = 8SE +/- 0.37, N = 1354.9141.4431.421. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxKarbon 70053.068.377.0GM-100061.069.078.0CompuLab Airtop356.074.590.0OpenBenchmarking.orgCelsius, Fewer Is Betterx265 3.4CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.076.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterx265 3.4System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pCompuLab Airtop3Karbon 700GM-10001122334455Min: 54.1 / Avg: 54.91 / Max: 55.77Min: 40.51 / Avg: 41.44 / Max: 44.22Min: 30.88 / Avg: 31.42 / Max: 35.81. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUCompuLab Airtop3Karbon 700GM-10001.33032.66063.99095.32126.6515SE +/- 0.00686, N = 4SE +/- 0.03701, N = 15SE +/- 0.05068, N = 152.561133.623755.91239MIN: 2.22MIN: 2.86MIN: 4.171. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70053.067.983.0GM-100061.068.979.0CompuLab Airtop356.072.294.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.275.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUCompuLab Airtop3Karbon 700GM-1000246810Min: 2.55 / Avg: 2.56 / Max: 2.58Min: 3.11 / Avg: 3.62 / Max: 3.75Min: 5.21 / Avg: 5.91 / Max: 5.991. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

VP9 libvpx Encoding

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5CompuLab Airtop3Karbon 700GM-1000714212835SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.20, N = 828.6122.8719.651. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
MinAvgMaxKarbon 70053.067.673.0GM-100061.070.877.0CompuLab Airtop357.078.488.0OpenBenchmarking.orgCelsius, Fewer Is BetterVP9 libvpx Encoding 1.8.2CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.675.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterVP9 libvpx Encoding 1.8.2System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5CompuLab Airtop3Karbon 700GM-1000612182430Min: 28.32 / Avg: 28.61 / Max: 28.81Min: 22.73 / Avg: 22.87 / Max: 23.05Min: 19.38 / Avg: 19.65 / Max: 21.021. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

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 FillCompuLab Airtop3Karbon 700GM-1000300K600K900K1200K1500KSE +/- 12373.00, N = 15SE +/- 13395.98, N = 5SE +/- 13114.25, N = 15132156610335419810911. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
MinAvgMaxKarbon 70052.064.972.0GM-100062.068.877.0CompuLab Airtop354.072.484.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.176.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6System Temperature Monitor20406080100
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Sequential FillCompuLab Airtop3Karbon 700GM-1000200K400K600K800K1000KMin: 1225560 / Avg: 1321566.27 / Max: 1423159Min: 1000540 / Avg: 1033541.2 / Max: 1071298Min: 882368 / Avg: 981090.53 / Max: 10736091. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastCompuLab Airtop3Karbon 700GM-100020406080100SE +/- 1.01, N = 7SE +/- 0.80, N = 15SE +/- 0.87, N = 1591.4667.5344.451. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxKarbon 70053.066.480.0GM-100061.068.678.0CompuLab Airtop355.073.191.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.375.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastCompuLab Airtop3Karbon 700GM-100020406080100Min: 88.35 / Avg: 91.46 / Max: 96.64Min: 66.3 / Avg: 67.53 / Max: 77.51Min: 43.3 / Avg: 44.45 / Max: 56.571. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

LibRaw

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

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkCompuLab Airtop3GM-1000Karbon 700816243240SE +/- 0.10, N = 3SE +/- 0.32, N = 3SE +/- 0.08, N = 333.3527.2627.121. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
MinAvgMaxKarbon 70048.062.768.0GM-100059.069.974.0CompuLab Airtop350.074.482.0OpenBenchmarking.orgCelsius, Fewer Is BetterLibRaw 0.20CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.069.675.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterLibRaw 0.20System Temperature Monitor20406080100
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkCompuLab Airtop3GM-1000Karbon 700714212835Min: 33.14 / Avg: 33.35 / Max: 33.46Min: 26.9 / Avg: 27.26 / Max: 27.9Min: 26.96 / Avg: 27.12 / Max: 27.21. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionCompuLab Airtop3Karbon 700GM-10001122334455SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 334.8043.0346.981. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxKarbon 70049.060.867.0CompuLab Airtop349.068.879.0GM-100059.070.376.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.067.975.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1System Temperature Monitor20406080100
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionCompuLab Airtop3Karbon 700GM-10001020304050Min: 34.6 / Avg: 34.8 / Max: 34.92Min: 42.85 / Avg: 43.03 / Max: 43.28Min: 46.81 / Avg: 46.98 / Max: 47.091. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pCompuLab Airtop3Karbon 700GM-10000.66221.32441.98662.64883.311SE +/- 0.013, N = 3SE +/- 0.028, N = 3SE +/- 0.025, N = 32.9432.1151.4461. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
MinAvgMaxKarbon 70053.067.679.0GM-100061.069.380.0CompuLab Airtop357.072.990.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.075.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pCompuLab Airtop3Karbon 700GM-1000246810Min: 2.93 / Avg: 2.94 / Max: 2.97Min: 2.09 / Avg: 2.12 / Max: 2.17Min: 1.42 / Avg: 1.45 / Max: 1.51. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KCompuLab Airtop3Karbon 700GM-1000306090120150SE +/- 1.02, N = 3SE +/- 0.28, N = 3SE +/- 1.39, N = 4157.41100.7992.95MIN: 139.25 / MAX: 172.94MIN: 89.28 / MAX: 105.54MIN: 77.22 / MAX: 122.951. (CC) gcc options: -pthread
MinAvgMaxKarbon 70047.062.572.0GM-100059.068.776.0CompuLab Airtop347.070.682.0OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.075.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0System Temperature Monitor20406080100
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KCompuLab Airtop3Karbon 700GM-1000306090120150Min: 155.88 / Avg: 157.41 / Max: 159.33Min: 100.3 / Avg: 100.79 / Max: 101.28Min: 91.52 / Avg: 92.95 / Max: 97.131. (CC) gcc options: -pthread

Timed Apache Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileCompuLab Airtop3Karbon 700GM-1000714212835SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.35, N = 720.9126.4332.12
MinAvgMaxKarbon 70052.063.872.0GM-100060.069.276.0CompuLab Airtop352.071.285.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Apache Compilation 2.4.41CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.675.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Apache Compilation 2.4.41System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileCompuLab Airtop3Karbon 700GM-1000714212835Min: 20.86 / Avg: 20.91 / Max: 20.95Min: 26.34 / Avg: 26.43 / Max: 26.59Min: 30 / Avg: 32.12 / Max: 32.56

DaCapo Benchmark

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

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansCompuLab Airtop3GM-1000Karbon 7008001600240032004000SE +/- 42.33, N = 20SE +/- 30.71, N = 5SE +/- 92.26, N = 16279136213956
MinAvgMaxKarbon 70050.058.368.0CompuLab Airtop352.066.984.0GM-100060.068.975.0OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.075.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1System Temperature Monitor20406080100
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansCompuLab Airtop3GM-1000Karbon 7007001400210028003500Min: 2589 / Avg: 2790.55 / Max: 3482Min: 3510 / Avg: 3621.4 / Max: 3686Min: 3537 / Avg: 3955.88 / Max: 4941

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUCompuLab Airtop3Karbon 700GM-1000140280420560700SE +/- 2.57, N = 3SE +/- 2.70, N = 3SE +/- 8.43, N = 3322.59539.08670.34MIN: 310.92MIN: 524.69MIN: 612.851. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70053.067.682.0GM-100061.068.677.0CompuLab Airtop355.073.388.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.875.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUCompuLab Airtop3Karbon 700GM-1000120240360480600Min: 318.23 / Avg: 322.59 / Max: 327.12Min: 533.68 / Avg: 539.08 / Max: 542Min: 653.52 / Avg: 670.34 / Max: 679.851. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUCompuLab Airtop3GM-1000Karbon 70050100150200250SE +/- 0.47, N = 3SE +/- 0.93, N = 3SE +/- 0.50, N = 3143.89231.39251.01MIN: 141.15MIN: 223.49MIN: 247.271. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70053.066.574.0GM-100061.068.376.0CompuLab Airtop356.072.284.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.475.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUCompuLab Airtop3GM-1000Karbon 70050100150200250Min: 143.25 / Avg: 143.89 / Max: 144.8Min: 229.67 / Avg: 231.39 / Max: 232.85Min: 250.5 / Avg: 251.01 / Max: 2521. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesCompuLab Airtop3GM-1000Karbon 70020406080100SE +/- 0.012, N = 7SE +/- 0.010, N = 3SE +/- 0.027, N = 35.60116.86879.335
MinAvgMaxCompuLab Airtop337.039.353.0Karbon 70043.054.457.0GM-100055.055.556.0OpenBenchmarking.orgCelsius, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818CPU Temperature Monitor1632486480
OpenBenchmarking.orgCelsius, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818System Temperature MonitorGM-1000Karbon 700153045607527.827.8
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesCompuLab Airtop3GM-1000Karbon 7001530456075Min: 5.55 / Avg: 5.6 / Max: 5.63Min: 16.85 / Avg: 16.87 / Max: 16.89Min: 79.29 / Avg: 79.33 / Max: 79.38

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumKarbon 700CompuLab Airtop3GM-10003691215SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.16, N = 156.208.529.911. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxKarbon 70044.058.869.0CompuLab Airtop342.063.080.0GM-100059.068.576.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.075.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumKarbon 700CompuLab Airtop3GM-10003691215Min: 6.2 / Avg: 6.2 / Max: 6.21Min: 8.51 / Avg: 8.52 / Max: 8.53Min: 7.99 / Avg: 9.91 / Max: 10.161. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

PostMark

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

OpenBenchmarking.orgTPS, More Is BetterPostMark 1.51Disk Transaction PerformanceCompuLab Airtop3Karbon 700GM-10002K4K6K8K10K8333694465781. (CC) gcc options: -O3
MinAvgMaxKarbon 70038.049.451.0GM-100049.059.262.0CompuLab Airtop343.060.065.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostMark 1.51CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPostMark 1.51System Temperature MonitorGM-1000Karbon 700122436486027.827.8

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 7003691215SE +/- 0.022, N = 8SE +/- 0.090, N = 15SE +/- 0.166, N = 154.7487.66310.2291. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxKarbon 70046.058.163.0GM-100057.063.670.0CompuLab Airtop347.065.377.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadGM-1000CompuLab Airtop3Karbon 7003691215Min: 4.65 / Avg: 4.75 / Max: 4.82Min: 7.14 / Avg: 7.66 / Max: 8.25Min: 9.31 / Avg: 10.23 / Max: 11.391. (CXX) g++ options: -O3 -lsnappy -lpthread

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileCompuLab Airtop3Karbon 700GM-10004080120160200SE +/- 0.58, N = 3138178186
MinAvgMaxKarbon 70045.057.360.0CompuLab Airtop342.063.470.0GM-100057.067.571.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileCompuLab Airtop3Karbon 700GM-1000306090120150Min: 185 / Avg: 186 / Max: 187

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmCompuLab Airtop3Karbon 700GM-1000714212835SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.20, N = 322.4327.2528.93
MinAvgMaxKarbon 70052.060.968.0CompuLab Airtop351.067.879.0GM-100061.068.474.0OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkCPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkSystem Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmCompuLab Airtop3Karbon 700GM-1000612182430Min: 22.42 / Avg: 22.43 / Max: 22.44Min: 27.24 / Avg: 27.25 / Max: 27.27Min: 28.67 / Avg: 28.93 / Max: 29.31

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_templateCompuLab Airtop3Karbon 700GM-10001224364860SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 338.949.352.3
MinAvgMaxKarbon 70044.056.560.0CompuLab Airtop340.062.467.0GM-100057.067.070.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateCompuLab Airtop3Karbon 700GM-10001020304050Min: 38.8 / Avg: 38.9 / Max: 39Min: 49.1 / Avg: 49.3 / Max: 49.6Min: 52.1 / Avg: 52.3 / Max: 52.6

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 7008001600240032004000SE +/- 4.91, N = 3SE +/- 2.03, N = 3SE +/- 3.71, N = 33601.72955.51609.01. (CC) gcc options: -O3 -pthread -lz -llzma
MinAvgMaxKarbon 70045.054.157.0CompuLab Airtop344.059.872.0GM-100057.066.473.0OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.4.5CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.4.5System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3GM-1000CompuLab Airtop3Karbon 7006001200180024003000Min: 3596 / Avg: 3601.73 / Max: 3611.5Min: 2953.1 / Avg: 2955.47 / Max: 2959.5Min: 1603.8 / Avg: 1609.03 / Max: 1616.21. (CC) gcc options: -O3 -pthread -lz -llzma

C-Blosc

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

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzCompuLab Airtop3GM-1000Karbon 7002K4K6K8K10KSE +/- 6.83, N = 3SE +/- 11.16, N = 4SE +/- 13.18, N = 310397.88600.46843.61. (CXX) g++ options: -rdynamic
MinAvgMaxKarbon 70049.058.562.0CompuLab Airtop349.064.071.0GM-100062.069.474.0OpenBenchmarking.orgCelsius, Fewer Is BetterC-Blosc 2.0 Beta 5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.175.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterC-Blosc 2.0 Beta 5System Temperature Monitor20406080100
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzCompuLab Airtop3GM-1000Karbon 7002K4K6K8K10KMin: 10384.1 / Avg: 10397.77 / Max: 10404.8Min: 8567.4 / Avg: 8600.43 / Max: 8614.6Min: 6828 / Avg: 6843.6 / Max: 6869.81. (CXX) g++ options: -rdynamic

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibCompuLab Airtop3Karbon 700GM-1000510152025SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 314.318.219.3
MinAvgMaxKarbon 70046.058.661.0CompuLab Airtop345.064.870.0GM-100057.068.471.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibCompuLab Airtop3Karbon 700GM-1000510152025Min: 14.3 / Avg: 14.3 / Max: 14.3Min: 18.1 / Avg: 18.2 / Max: 18.3Min: 19.3 / Avg: 19.3 / Max: 19.3

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pCompuLab Airtop3Karbon 700GM-1000140280420560700SE +/- 2.55, N = 3SE +/- 1.11, N = 3SE +/- 2.32, N = 3644.69450.53354.51MIN: 479.82 / MAX: 947.65MIN: 341.02 / MAX: 685.68MIN: 226.96 / MAX: 562.81. (CC) gcc options: -pthread
OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0CPU Temperature MonitorKarbon 700CompuLab Airtop3GM-10001632486480Min: 50 / Avg: 61.32 / Max: 74Min: 49 / Avg: 69.57 / Max: 87Min: 61 / Avg: 69.66 / Max: 76
OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0System Temperature MonitorGM-1000Karbon 7001428425670Min: 64 / Avg: 74.79 / Max: 75Min: 27.8 / Avg: 27.8 / Max: 27.8
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pCompuLab Airtop3Karbon 700GM-1000110220330440550Min: 639.82 / Avg: 644.69 / Max: 648.42Min: 448.9 / Avg: 450.53 / Max: 452.65Min: 350.42 / Avg: 354.51 / Max: 358.461. (CC) gcc options: -pthread

RNNoise

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28CompuLab Airtop3Karbon 700GM-1000714212835SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.17, N = 321.5827.4629.101. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
MinAvgMaxKarbon 70047.057.360.0CompuLab Airtop347.065.671.0GM-100058.068.070.0OpenBenchmarking.orgCelsius, Fewer Is BetterRNNoise 2020-06-28CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterRNNoise 2020-06-28System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28CompuLab Airtop3Karbon 700GM-1000612182430Min: 21.56 / Avg: 21.58 / Max: 21.6Min: 27.45 / Avg: 27.46 / Max: 27.49Min: 28.92 / Avg: 29.1 / Max: 29.441. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

PostgreSQL pgbench

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average LatencyCompuLab Airtop3Karbon 700GM-10000.0090.0180.0270.0360.045SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0300.0380.0401. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxKarbon 70052.057.863.0CompuLab Airtop354.063.274.0GM-100060.064.570.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average LatencyCompuLab Airtop3Karbon 700GM-100012345Min: 0.03 / Avg: 0.03 / Max: 0.03Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.041. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read OnlyCompuLab Airtop3Karbon 700GM-10007K14K21K28K35KSE +/- 56.86, N = 3SE +/- 116.17, N = 3SE +/- 159.81, N = 33355426544248621. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read OnlyCompuLab Airtop3Karbon 700GM-10006K12K18K24K30KMin: 33469.39 / Avg: 33553.89 / Max: 33662.04Min: 26324.78 / Avg: 26544.35 / Max: 26719.91Min: 24664.47 / Avg: 24861.59 / Max: 25178.041. (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: floatCompuLab Airtop3Karbon 700GM-1000306090120150SE +/- 0.06, N = 3SE +/- 0.33, N = 389.9114.0122.0
MinAvgMaxKarbon 70047.058.464.0GM-100057.067.072.0CompuLab Airtop347.069.576.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000CompuLab Airtop3142842567027.827.8
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatCompuLab Airtop3Karbon 700GM-100020406080100Min: 89.8 / Avg: 89.9 / Max: 90Min: 114 / Avg: 114.33 / Max: 115

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosCompuLab Airtop3Karbon 700GM-1000306090120150SE +/- 0.06, N = 3SE +/- 1.00, N = 385.9109.0117.0
MinAvgMaxKarbon 70047.059.062.0GM-100058.067.672.0CompuLab Airtop349.072.479.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000CompuLab Airtop3142842567027.827.8
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosCompuLab Airtop3Karbon 700GM-100020406080100Min: 85.8 / Avg: 85.9 / Max: 86Min: 115 / Avg: 117 / Max: 118

Tesseract OCR

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesCompuLab Airtop3Karbon 700GM-1000612182430SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 320.2725.6527.11
MinAvgMaxKarbon 70047.058.163.0CompuLab Airtop344.063.573.0GM-100059.069.673.0OpenBenchmarking.orgCelsius, Fewer Is BetterTesseract OCR 4.1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterTesseract OCR 4.1.1System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesCompuLab Airtop3Karbon 700GM-1000612182430Min: 20.24 / Avg: 20.27 / Max: 20.3Min: 25.62 / Avg: 25.65 / Max: 25.72Min: 27.06 / Avg: 27.11 / Max: 27.13

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonCompuLab Airtop3Karbon 700GM-1000100200300400500SE +/- 2.73, N = 3339434462
MinAvgMaxKarbon 70044.056.560.0CompuLab Airtop341.061.469.0GM-100057.067.171.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonCompuLab Airtop3Karbon 700GM-100080160240320400Min: 457 / Avg: 462.33 / Max: 466

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesCompuLab Airtop3Karbon 700GM-1000306090120150SE +/- 0.03, N = 3SE +/- 0.33, N = 385.9109.0116.0
MinAvgMaxKarbon 70045.056.861.0CompuLab Airtop343.065.973.0GM-100057.066.070.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000CompuLab Airtop3142842567027.827.8
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesCompuLab Airtop3Karbon 700GM-100020406080100Min: 85.8 / Avg: 85.87 / Max: 85.9Min: 115 / Avg: 115.67 / Max: 116

Timed MAFFT Alignment

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNACompuLab Airtop3GM-1000Karbon 7003691215SE +/- 0.018, N = 5SE +/- 0.101, N = 11SE +/- 0.024, N = 48.62811.26812.4451. (CC) gcc options: -std=c99 -O3 -lm -lpthread
MinAvgMaxKarbon 70054.065.372.0GM-100061.070.578.0CompuLab Airtop359.075.991.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed MAFFT Alignment 7.471CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.975.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTimed MAFFT Alignment 7.471System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNACompuLab Airtop3GM-1000Karbon 70048121620Min: 8.58 / Avg: 8.63 / Max: 8.68Min: 10.64 / Avg: 11.27 / Max: 11.85Min: 12.4 / Avg: 12.45 / Max: 12.491. (CC) gcc options: -std=c99 -O3 -lm -lpthread

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsCompuLab Airtop3Karbon 700GM-1000714212835SE +/- 0.19, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 321.427.128.4
MinAvgMaxKarbon 70045.057.561.0CompuLab Airtop343.063.670.0GM-100057.067.671.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsCompuLab Airtop3Karbon 700GM-1000612182430Min: 21.2 / Avg: 21.43 / Max: 21.8Min: 27.1 / Avg: 27.1 / Max: 27.1Min: 28.4 / Avg: 28.43 / Max: 28.5

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2CompuLab Airtop3Karbon 700GM-100080160240320400SE +/- 0.57, N = 3SE +/- 0.91, N = 3SE +/- 0.15, N = 3283.96369.09369.91MIN: 282.43 / MAX: 316.3MIN: 367.26 / MAX: 372.62MIN: 368.82 / MAX: 373.151. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
MinAvgMaxKarbon 70048.058.063.0GM-100059.069.874.0CompuLab Airtop349.070.380.0OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.2.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.066.475.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.2.3System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2CompuLab Airtop3Karbon 700GM-100070140210280350Min: 283.09 / Avg: 283.96 / Max: 285.04Min: 367.79 / Avg: 369.09 / Max: 370.85Min: 369.74 / Avg: 369.91 / Max: 370.221. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1CompuLab Airtop3Karbon 700GM-100080160240320400SE +/- 0.04, N = 3SE +/- 0.14, N = 3SE +/- 0.13, N = 3269.28343.22362.13MIN: 268.32 / MAX: 274.07MIN: 342.72 / MAX: 356.39MIN: 361.7 / MAX: 362.71. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
MinAvgMaxKarbon 70048.055.860.0CompuLab Airtop349.065.576.0GM-100060.069.974.0OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.2.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.575.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.2.3System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1CompuLab Airtop3Karbon 700GM-100060120180240300Min: 269.21 / Avg: 269.28 / Max: 269.34Min: 343.05 / Avg: 343.22 / Max: 343.5Min: 361.9 / Avg: 362.13 / Max: 362.351. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyCompuLab Airtop3Karbon 700GM-1000306090120150SE +/- 0.33, N = 3103131138
MinAvgMaxKarbon 70047.058.162.0CompuLab Airtop347.066.875.0GM-100058.067.972.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyCompuLab Airtop3Karbon 700GM-1000306090120150Min: 138 / Avg: 138.33 / Max: 139

librsvg

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

OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGCompuLab Airtop3Karbon 700GM-1000612182430SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.42, N = 318.2222.5624.631. rsvg-convert version 2.50.1
MinAvgMaxKarbon 70052.061.265.0CompuLab Airtop353.068.477.0GM-100061.069.073.0OpenBenchmarking.orgCelsius, Fewer Is BetterlibrsvgCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.069.875.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterlibrsvgSystem Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGCompuLab Airtop3Karbon 700GM-1000612182430Min: 18.15 / Avg: 18.22 / Max: 18.34Min: 22.42 / Avg: 22.56 / Max: 22.82Min: 24.21 / Avg: 24.63 / Max: 25.481. rsvg-convert version 2.50.1

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pCompuLab Airtop3Karbon 700GM-1000306090120150SE +/- 0.95, N = 8SE +/- 0.08, N = 6SE +/- 1.58, N = 15131.8396.1380.061. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
MinAvgMaxKarbon 70053.066.376.0GM-100061.068.678.0CompuLab Airtop356.071.988.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.275.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pCompuLab Airtop3Karbon 700GM-100020406080100Min: 125.31 / Avg: 131.83 / Max: 133.57Min: 95.89 / Avg: 96.13 / Max: 96.43Min: 77.55 / Avg: 80.06 / Max: 98.981. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessCompuLab Airtop3Karbon 700GM-1000510152025SE +/- 0.00, N = 4SE +/- 0.01, N = 3SE +/- 0.01, N = 316.0219.9721.201. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxKarbon 70050.058.965.0CompuLab Airtop351.065.878.0GM-100059.066.872.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1System Temperature MonitorGM-1000CompuLab Airtop3142842567027.827.8
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessCompuLab Airtop3Karbon 700GM-1000510152025Min: 16.01 / Avg: 16.02 / Max: 16.03Min: 19.96 / Avg: 19.97 / Max: 20Min: 21.18 / Avg: 21.2 / Max: 21.211. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 7001020304050SE +/- 0.33, N = 5SE +/- 0.49, N = 3SE +/- 0.15, N = 327.2033.5543.661. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxKarbon 70049.057.262.0GM-100058.064.970.0CompuLab Airtop351.066.781.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential FillGM-1000CompuLab Airtop3Karbon 700918273645Min: 26.18 / Avg: 27.2 / Max: 28.14Min: 32.71 / Avg: 33.55 / Max: 34.4Min: 43.37 / Avg: 43.66 / Max: 43.861. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential FillCompuLab Airtop3Karbon 700GM-10001224364860SE +/- 0.78, N = 3SE +/- 0.15, N = 3SE +/- 0.41, N = 552.840.532.51. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential FillCompuLab Airtop3Karbon 700GM-10001122334455Min: 51.4 / Avg: 52.77 / Max: 54.1Min: 40.3 / Avg: 40.53 / Max: 40.8Min: 31.4 / Avg: 32.52 / Max: 33.81. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: OverwriteGM-1000CompuLab Airtop3Karbon 7001224364860SE +/- 0.24, N = 15SE +/- 0.31, N = 15SE +/- 2.50, N = 1528.7336.6955.251. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxKarbon 70046.052.361.0CompuLab Airtop348.055.976.0GM-100057.060.967.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: OverwriteGM-1000CompuLab Airtop3Karbon 7001122334455Min: 27.31 / Avg: 28.73 / Max: 30.06Min: 34.83 / Avg: 36.69 / Max: 38.01Min: 46.69 / Avg: 55.25 / Max: 71.781. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteCompuLab Airtop3Karbon 700GM-10001122334455SE +/- 0.41, N = 15SE +/- 1.32, N = 15SE +/- 0.26, N = 1548.332.930.81. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteCompuLab Airtop3Karbon 700GM-10001020304050Min: 46.5 / Avg: 48.27 / Max: 50.8Min: 24.7 / Avg: 32.85 / Max: 37.9Min: 29.4 / Avg: 30.77 / Max: 32.41. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random FillGM-1000CompuLab Airtop3Karbon 7001224364860SE +/- 0.30, N = 15SE +/- 0.33, N = 15SE +/- 2.43, N = 1528.4636.1854.611. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxKarbon 70047.051.261.0CompuLab Airtop347.057.277.0GM-100057.060.868.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random FillGM-1000CompuLab Airtop3Karbon 7001122334455Min: 27.23 / Avg: 28.46 / Max: 29.99Min: 34.73 / Avg: 36.18 / Max: 38.04Min: 46.32 / Avg: 54.61 / Max: 80.41. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random FillCompuLab Airtop3Karbon 700GM-10001122334455SE +/- 0.44, N = 15SE +/- 1.18, N = 15SE +/- 0.32, N = 1549.033.131.11. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random FillCompuLab Airtop3Karbon 700GM-10001020304050Min: 46.5 / Avg: 48.95 / Max: 50.9Min: 22 / Avg: 33.13 / Max: 38.2Min: 29.5 / Avg: 31.1 / Max: 32.51. (CXX) g++ options: -O3 -lsnappy -lpthread

Dolfyn

Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsCompuLab Airtop3Karbon 700GM-1000510152025SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.08, N = 316.6821.0322.15
MinAvgMaxKarbon 70055.065.869.0GM-100063.073.877.0CompuLab Airtop359.080.289.0OpenBenchmarking.orgCelsius, Fewer Is BetterDolfyn 0.527CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.275.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterDolfyn 0.527System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsCompuLab Airtop3Karbon 700GM-1000510152025Min: 16.64 / Avg: 16.68 / Max: 16.71Min: 20.84 / Avg: 21.02 / Max: 21.28Min: 22 / Avg: 22.14 / Max: 22.23

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 7001020304050SE +/- 0.34, N = 4SE +/- 0.21, N = 3SE +/- 0.14, N = 326.1933.7444.011. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxKarbon 70050.058.265.0GM-100058.065.072.0CompuLab Airtop352.065.779.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random DeleteGM-1000CompuLab Airtop3Karbon 700918273645Min: 25.66 / Avg: 26.19 / Max: 27.11Min: 33.46 / Avg: 33.74 / Max: 34.14Min: 43.77 / Avg: 44.01 / Max: 44.251. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadGM-1000CompuLab Airtop3Karbon 7003691215SE +/- 0.045, N = 15SE +/- 0.037, N = 6SE +/- 0.133, N = 54.8546.83610.1801. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxKarbon 70050.060.467.0GM-100059.066.372.0CompuLab Airtop353.069.782.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000CompuLab Airtop3142842567027.827.8
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadGM-1000CompuLab Airtop3Karbon 7003691215Min: 4.59 / Avg: 4.85 / Max: 5.13Min: 6.73 / Avg: 6.84 / Max: 7Min: 9.89 / Avg: 10.18 / Max: 10.61. (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 1080pCompuLab Airtop3Karbon 700GM-10004080120160200SE +/- 0.26, N = 8SE +/- 0.71, N = 7SE +/- 1.68, N = 15169.12112.71107.791. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
MinAvgMaxKarbon 70054.064.173.0GM-100061.068.677.0CompuLab Airtop356.069.286.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.070.475.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pCompuLab Airtop3Karbon 700GM-1000306090120150Min: 167.55 / Avg: 169.12 / Max: 169.88Min: 108.5 / Avg: 112.71 / Max: 113.72Min: 104.13 / Avg: 107.79 / Max: 124.021. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUCompuLab Airtop3GM-1000Karbon 700246810SE +/- 0.00566, N = 4SE +/- 0.04995, N = 4SE +/- 0.01697, N = 43.964934.385027.04587MIN: 3.9MIN: 4.02MIN: 6.91. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70054.067.478.0GM-100061.069.278.0CompuLab Airtop355.071.391.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.375.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUCompuLab Airtop3GM-1000Karbon 7003691215Min: 3.96 / Avg: 3.96 / Max: 3.98Min: 4.24 / Avg: 4.39 / Max: 4.45Min: 7.01 / Avg: 7.05 / Max: 7.091. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionCompuLab Airtop3Karbon 700GM-1000246810SE +/- 0.006, N = 6SE +/- 0.014, N = 6SE +/- 0.007, N = 56.3808.1338.5721. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxKarbon 70049.057.763.0CompuLab Airtop350.065.676.0GM-100059.066.671.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionCompuLab Airtop3Karbon 700GM-10003691215Min: 6.37 / Avg: 6.38 / Max: 6.41Min: 8.11 / Avg: 8.13 / Max: 8.2Min: 8.55 / Avg: 8.57 / Max: 8.581. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinCompuLab Airtop3Karbon 700GM-1000246810SE +/- 0.062, N = 10SE +/- 0.006, N = 8SE +/- 0.047, N = 156.7865.1164.8701. (CXX) g++ options: -O3 -pthread -lm
MinAvgMaxKarbon 70054.062.272.0GM-100062.068.578.0CompuLab Airtop359.071.191.0OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.069.375.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020System Temperature Monitor20406080100
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinCompuLab Airtop3Karbon 700GM-10003691215Min: 6.38 / Avg: 6.79 / Max: 6.96Min: 5.09 / Avg: 5.12 / Max: 5.14Min: 4.71 / Avg: 4.87 / Max: 5.131. (CXX) g++ options: -O3 -pthread -lm

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastCompuLab Airtop3Karbon 700GM-1000246810SE +/- 0.00, N = 7SE +/- 0.03, N = 6SE +/- 0.01, N = 65.537.237.931. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxKarbon 70043.053.764.0CompuLab Airtop341.056.377.0GM-100058.066.275.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.067.475.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastCompuLab Airtop3Karbon 700GM-10003691215Min: 5.51 / Avg: 5.53 / Max: 5.54Min: 7.06 / Avg: 7.23 / Max: 7.28Min: 7.9 / Avg: 7.93 / Max: 7.981. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

GNU Octave Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0CompuLab Airtop3GM-1000Karbon 700246810SE +/- 0.020, N = 6SE +/- 0.022, N = 6SE +/- 0.027, N = 56.4858.0078.569
MinAvgMaxKarbon 70052.058.567.0CompuLab Airtop353.066.683.0GM-100061.067.374.0OpenBenchmarking.orgCelsius, Fewer Is BetterGNU Octave Benchmark 5.2.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterGNU Octave Benchmark 5.2.0System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0CompuLab Airtop3GM-1000Karbon 7003691215Min: 6.46 / Avg: 6.49 / Max: 6.58Min: 7.98 / Avg: 8.01 / Max: 8.12Min: 8.53 / Avg: 8.57 / Max: 8.68

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 700714212835SE +/- 0.05, N = 7SE +/- 0.02, N = 7SE +/- 0.03, N = 616.6217.0232.00MIN: 16.36MIN: 16.91MIN: 31.821. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70053.060.568.0GM-100061.068.576.0CompuLab Airtop357.069.278.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.975.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUGM-1000CompuLab Airtop3Karbon 700714212835Min: 16.47 / Avg: 16.62 / Max: 16.78Min: 16.98 / Avg: 17.02 / Max: 17.11Min: 31.96 / Avg: 32 / Max: 32.181. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10CompuLab Airtop3Karbon 700GM-1000246810SE +/- 0.001, N = 8SE +/- 0.006, N = 7SE +/- 0.007, N = 74.8055.9996.2831. (CXX) g++ options: -O3 -fPIC
MinAvgMaxKarbon 70052.061.872.0GM-100060.067.477.0CompuLab Airtop353.067.588.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.066.475.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10CompuLab Airtop3Karbon 700GM-10003691215Min: 4.8 / Avg: 4.81 / Max: 4.81Min: 5.98 / Avg: 6 / Max: 6.02Min: 6.25 / Avg: 6.28 / Max: 6.311. (CXX) g++ options: -O3 -fPIC

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 7003691215SE +/- 0.007, N = 9SE +/- 0.003, N = 53.21410.772
MinAvgMaxKarbon 70044.052.057.0GM-100055.056.063.0OpenBenchmarking.orgCelsius, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818CPU Temperature Monitor20406080100
MinAvgMaxGM-100054.062.565.0OpenBenchmarking.orgCelsius, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: NoGM-1000Karbon 7003691215Min: 3.19 / Avg: 3.21 / Max: 3.25Min: 10.77 / Avg: 10.77 / Max: 10.78

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 700714212835SE +/- 0.02, N = 6SE +/- 0.05, N = 7SE +/- 0.01, N = 616.1216.5230.88MIN: 15.9MIN: 16.37MIN: 30.581. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70054.059.664.0CompuLab Airtop355.066.874.0GM-100061.068.174.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.475.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUGM-1000CompuLab Airtop3Karbon 700714212835Min: 16.07 / Avg: 16.12 / Max: 16.18Min: 16.46 / Avg: 16.52 / Max: 16.82Min: 30.85 / Avg: 30.88 / Max: 30.921. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

DaCapo Benchmark

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

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonCompuLab Airtop3GM-1000Karbon 70010002000300040005000SE +/- 38.10, N = 7SE +/- 23.71, N = 6SE +/- 54.95, N = 7368948334881
MinAvgMaxKarbon 70049.057.666.0CompuLab Airtop349.062.278.0GM-100060.067.074.0OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.066.675.0CompuLab Airtop327.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1System Temperature Monitor20406080100
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonCompuLab Airtop3GM-1000Karbon 7008001600240032004000Min: 3592 / Avg: 3689.14 / Max: 3883Min: 4762 / Avg: 4832.5 / Max: 4907Min: 4681 / Avg: 4881.43 / Max: 5074

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8CompuLab Airtop3Karbon 700GM-1000246810SE +/- 0.006, N = 7SE +/- 0.013, N = 6SE +/- 0.014, N = 65.0866.3546.6721. (CXX) g++ options: -O3 -fPIC
MinAvgMaxKarbon 70053.062.575.0GM-100060.069.077.0CompuLab Airtop355.070.895.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.066.975.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8CompuLab Airtop3Karbon 700GM-10003691215Min: 5.06 / Avg: 5.09 / Max: 5.1Min: 6.31 / Avg: 6.35 / Max: 6.4Min: 6.65 / Avg: 6.67 / Max: 6.731. (CXX) g++ options: -O3 -fPIC

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPUCompuLab Airtop3Karbon 700GM-1000246810SE +/- 0.02344, N = 9SE +/- 0.02235, N = 9SE +/- 0.08092, N = 156.656407.886718.88371MIN: 6.4MIN: 7.8MIN: 8.111. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70053.066.280.0GM-100061.067.977.0CompuLab Airtop356.069.387.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.675.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPUCompuLab Airtop3Karbon 700GM-10003691215Min: 6.6 / Avg: 6.66 / Max: 6.82Min: 7.83 / Avg: 7.89 / Max: 8.06Min: 8.34 / Avg: 8.88 / Max: 9.441. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPUCompuLab Airtop3Karbon 700GM-1000246810SE +/- 0.02023, N = 9SE +/- 0.00916, N = 9SE +/- 0.01402, N = 93.313564.634956.69517MIN: 3.15MIN: 4.53MIN: 6.491. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxKarbon 70053.063.576.0GM-100061.068.177.0CompuLab Airtop354.069.388.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.475.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPUCompuLab Airtop3Karbon 700GM-10003691215Min: 3.23 / Avg: 3.31 / Max: 3.45Min: 4.6 / Avg: 4.63 / Max: 4.67Min: 6.64 / Avg: 6.7 / Max: 6.741. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 SyncKarbon 700GM-1000CompuLab Airtop314002800420056007000SE +/- 74.53, N = 15SE +/- 8.65, N = 10SE +/- 6.82, N = 61309.972260.156472.061. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxKarbon 70047.048.550.0CompuLab Airtop349.050.753.0GM-100058.058.760.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor1632486480
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill SyncKarbon 700GM-1000CompuLab Airtop311002200330044005500Min: 848.19 / Avg: 1309.97 / Max: 1786.66Min: 2218.02 / Avg: 2260.15 / Max: 2294.61Min: 6452.65 / Avg: 6472.06 / Max: 6500.891. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill SyncKarbon 700GM-1000CompuLab Airtop30.3150.630.9451.261.575SE +/- 0.08, N = 15SE +/- 0.00, N = 10SE +/- 0.00, N = 61.40.40.31. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill SyncKarbon 700GM-1000CompuLab Airtop3246810Min: 1 / Avg: 1.37 / Max: 2Min: 0.4 / Avg: 0.4 / Max: 0.4Min: 0.3 / Avg: 0.3 / Max: 0.31. (CXX) g++ options: -O3 -lsnappy -lpthread

FFTE

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

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineCompuLab Airtop3GM-1000Karbon 7007K14K21K28K35KSE +/- 76.97, N = 11SE +/- 47.47, N = 11SE +/- 18.12, N = 930993.6430890.9117775.751. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
MinAvgMaxKarbon 70053.060.068.0GM-100058.064.474.0CompuLab Airtop358.067.785.0OpenBenchmarking.orgCelsius, Fewer Is BetterFFTE 7.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.064.575.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is BetterFFTE 7.0System Temperature Monitor20406080100
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineCompuLab Airtop3GM-1000Karbon 7005K10K15K20K25KMin: 30305.11 / Avg: 30993.64 / Max: 31285.97Min: 30699.22 / Avg: 30890.91 / Max: 31121.85Min: 17731.17 / Avg: 17775.75 / Max: 17908.361. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100CompuLab Airtop3Karbon 700GM-10000.62551.2511.87652.5023.1275SE +/- 0.002, N = 10SE +/- 0.001, N = 10SE +/- 0.001, N = 92.0822.6472.7801. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxKarbon 70050.056.165.0CompuLab Airtop352.060.577.0GM-100059.064.172.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100CompuLab Airtop3Karbon 700GM-1000246810Min: 2.08 / Avg: 2.08 / Max: 2.09Min: 2.64 / Avg: 2.65 / Max: 2.65Min: 2.78 / Avg: 2.78 / Max: 2.781. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pCompuLab Airtop3Karbon 700GM-1000130260390520650SE +/- 1.68, N = 3SE +/- 1.38, N = 3SE +/- 0.50, N = 3582.07432.27344.07MIN: 481.99 / MAX: 638.3MIN: 364.27 / MAX: 468.57MIN: 298.25 / MAX: 380.671. (CC) gcc options: -pthread
MinAvgMaxKarbon 70049.060.668.0CompuLab Airtop349.069.280.0GM-100059.069.475.0OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.175.0Karbon 70027.827.827.8OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0System Temperature Monitor20406080100
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pCompuLab Airtop3Karbon 700GM-1000100200300400500Min: 578.72 / Avg: 582.07 / Max: 583.88Min: 429.61 / Avg: 432.27 / Max: 434.27Min: 343.12 / Avg: 344.07 / Max: 344.81. (CC) gcc options: -pthread

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultCompuLab Airtop3Karbon 700GM-10000.39580.79161.18741.58321.979SE +/- 0.000, N = 12SE +/- 0.002, N = 13SE +/- 0.003, N = 111.3131.6731.7591. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxKarbon 70052.056.966.0CompuLab Airtop354.060.881.0GM-100060.064.373.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1System Temperature MonitorGM-1000Karbon 700142842567027.827.8
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultCompuLab Airtop3Karbon 700GM-1000246810Min: 1.31 / Avg: 1.31 / Max: 1.32Min: 1.67 / Avg: 1.67 / Max: 1.69Min: 1.75 / Avg: 1.76 / Max: 1.781. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

IOR

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

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Read TestCompuLab Airtop3Karbon 700GM-10002004006008001000SE +/- 4.11, N = 13SE +/- 0.53, N = 15SE +/- 4.42, N = 151052.00517.18476.15MIN: 53.05 / MAX: 1439MIN: 142.77 / MAX: 594.11MIN: 10.65 / MAX: 548.821. (CC) gcc options: -O2 -lm -pthread -lmpi
MinAvgMaxKarbon 70038.038.439.0CompuLab Airtop344.045.349.0GM-100049.049.751.0OpenBenchmarking.orgCelsius, Fewer Is BetterIOR 3.2.1CPU Temperature Monitor1530456075
OpenBenchmarking.orgCelsius, Fewer Is BetterIOR 3.2.1System Temperature MonitorGM-1000Karbon 700122436486027.827.8
OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Read TestCompuLab Airtop3Karbon 700GM-10002004006008001000Min: 1034.39 / Avg: 1052 / Max: 1069.98Min: 511.99 / Avg: 517.18 / Max: 520.15Min: 443.63 / Avg: 476.15 / Max: 499.021. (CC) gcc options: -O2 -lm -pthread -lmpi

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Write TestKarbon 700GM-1000CompuLab Airtop3140280420560700SE +/- 6.43, N = 15SE +/- 32.44, N = 15SE +/- 0.83, N = 13652.88461.45253.17MIN: 125.89 / MAX: 1003.71MIN: 18.41 / MAX: 691.92MIN: 74.4 / MAX: 323.51. (CC) gcc options: -O2 -lm -pthread -lmpi
OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Write TestKarbon 700GM-1000CompuLab Airtop3120240360480600Min: 615.36 / Avg: 652.88 / Max: 713.34Min: 308.94 / Avg: 461.45 / Max: 626.34Min: 248.88 / Avg: 253.17 / Max: 258.011. (CC) gcc options: -O2 -lm -pthread -lmpi

System Temperature Monitor

OpenBenchmarking.orgCelsiusSystem Temperature MonitorPhoronix Test Suite System MonitoringGM-1000Karbon 7001530456075Min: 54 / Avg: 71.36 / Max: 76Min: 27.8 / Avg: 27.8 / Max: 27.8

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringKarbon 700GM-1000CompuLab Airtop320406080100Min: 38 / Avg: 60.6 / Max: 87Min: 49 / Avg: 67.98 / Max: 82Min: 34 / Avg: 70.36 / Max: 100

202 Results Shown

Kripke
Timed LLVM Compilation
RealSR-NCNN
Java Gradle Build
Incompact3D
AI Benchmark Alpha:
  Device AI Score
  Device Training Score
  Device Inference Score
ASTC Encoder
LeelaChessZero:
  Eigen
  BLAS
Mlpack Benchmark:
  scikit_qda
  scikit_linearridgeregression
GROMACS
BRL-CAD
Monte Carlo Simulations of Ionised Nebulae
YafaRay
Hierarchical INTegration
Caffe
Numpy Benchmark
Apache Cassandra
OpenVKL
Kvazaar
WireGuard + Linux Networking Stack Stress Test
High Performance Conjugate Gradient
Numenta Anomaly Benchmark
SVT-AV1
LuxCoreRender
John The Ripper
TensorFlow Lite
dav1d
Facebook RocksDB
TensorFlow Lite
Numenta Anomaly Benchmark
Timed Linux Kernel Compilation
NAMD
Mobile Neural Network:
  inception-v3
  mobilenet-v1-1.0
  MobileNetV2_224
  resnet-v2-50
  SqueezeNetV1.0
Facebook RocksDB
libavif avifenc
Facebook RocksDB
LuxCoreRender
Zstd Compression
Numenta Anomaly Benchmark
Caffe
Timed GDB GNU Debugger Compilation
Timed HMMer Search
BYTE Unix Benchmark
GLmark2
OpenSSL
VP9 libvpx Encoding
eSpeak-NG Speech Engine
Caffe
RealSR-NCNN
John The Ripper
Timed PHP Compilation
NCNN:
  CPU - yolov4-tiny
  CPU - resnet50
  CPU - alexnet
  CPU - resnet18
  CPU - vgg16
  CPU - googlenet
  CPU - blazeface
  CPU - efficientnet-b0
  CPU - mnasnet
  CPU - shufflenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU-v2-v2 - mobilenet-v2
  CPU - mobilenet
  CPU - squeezenet
PostgreSQL pgbench:
  1 - 1 - Read Write - Average Latency
  1 - 1 - Read Write
libavif avifenc
RawTherapee
PyPerformance
oneDNN
Numenta Anomaly Benchmark
Kvazaar
Caffe
Kvazaar
KeyDB
x265
PyPerformance
oneDNN
TensorFlow Lite:
  NASNet Mobile
  SqueezeNet
Facebook RocksDB
oneDNN
TensorFlow Lite:
  Mobilenet Quant
  Mobilenet Float
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
Hugin
PostgreSQL pgbench:
  1 - 50 - Read Write - Average Latency
  1 - 50 - Read Write
  1 - 50 - Read Only - Average Latency
  1 - 50 - Read Only
rays1bench
Mlpack Benchmark
oneDNN:
  IP Batch All - u8s8f32 - CPU
  IP Batch All - f32 - CPU
Intel Open Image Denoise
PyPerformance
ASTC Encoder
oneDNN
Git
OCRMyPDF
Kvazaar
DaCapo Benchmark
7-Zip Compression
DaCapo Benchmark
LevelDB
PyPerformance
Kvazaar
x265
oneDNN
VP9 libvpx Encoding
Facebook RocksDB
Kvazaar
LibRaw
WebP Image Encode
SVT-AV1
dav1d
Timed Apache Compilation
DaCapo Benchmark
oneDNN:
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
Waifu2x-NCNN Vulkan
ASTC Encoder
PostMark
LevelDB
PyPerformance
Mlpack Benchmark
PyPerformance
Zstd Compression
C-Blosc
PyPerformance
dav1d
RNNoise
PostgreSQL pgbench:
  1 - 1 - Read Only - Average Latency
  1 - 1 - Read Only
PyPerformance:
  float
  chaos
Tesseract OCR
PyPerformance:
  pickle_pure_python
  crypto_pyaes
Timed MAFFT Alignment
PyPerformance
TNN:
  CPU - MobileNet v2
  CPU - SqueezeNet v1.1
PyPerformance
librsvg
SVT-VP9
WebP Image Encode
LevelDB:
  Seq Fill:
    Microseconds Per Op
    MB/s
  Overwrite:
    Microseconds Per Op
    MB/s
  Rand Fill:
    Microseconds Per Op
    MB/s
Dolfyn
LevelDB:
  Rand Delete
  Hot Read
SVT-VP9
oneDNN
WebP Image Encode
LAMMPS Molecular Dynamics Simulator
ASTC Encoder
GNU Octave Benchmark
oneDNN
libavif avifenc
Waifu2x-NCNN Vulkan
oneDNN
DaCapo Benchmark
libavif avifenc
oneDNN:
  Deconvolution Batch deconv_3d - f32 - CPU
  Deconvolution Batch deconv_3d - u8s8f32 - CPU
LevelDB:
  Fill Sync:
    Microseconds Per Op
    MB/s
FFTE
WebP Image Encode
dav1d
WebP Image Encode
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.