GM-1000, Karbon 700, CompuLab Airtop PCs

Tests for a future article by Michael Larabel.

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Karbon 700
October 30 2020
  22 Hours, 2 Minutes
CompuLab Airtop
October 31 2020
  19 Hours, 53 Minutes
CompuLab Airtop3
October 29 2020
  12 Hours, 25 Minutes
GM-1000
October 28 2020
  18 Hours
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GM-1000, Karbon 700, CompuLab Airtop PCsProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionOpenCLKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000Intel Xeon E-2278GEL @ 3.90GHz (8 Cores / 16 Threads)Logic Supply RXM-181 (Z01-0001A027 BIOS)Intel Cannon Lake PCH16GB512GB TS512GMTE510TIntel UHD P630 3GB (1150MHz)Realtek ALC233VA2431Intel I219-LM + 2 x Intel I210Ubuntu 20.105.8.0-26-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.6 Mesa 20.2.11.2.145GCC 10.2.0ext41920x1080Intel Core i7-5775C @ 3.70GHz (4 Cores / 8 Threads)CompuLab v1.0 (ARTP-3.1.0.637.0.0 X64 BIOS)Intel Broadwell-U DMI256GB ADATA SP310eVGA NVIDIA GeForce GTX 950 2GB (1151/3304MHz)Realtek ALC886G237HLIntel I218-LM + Intel I210 + Intel 7260NVIDIA 455.284.6.0OpenCL 1.2 CUDA 11.1.961.2.142Intel Xeon E-2288G @ 5.00GHz (8 Cores / 16 Threads)Compulab SBC-ATCFL v1.2 (ATOP3.PRD.0.29.2 BIOS)Intel Cannon Lake PCH64GBSamsung SSD 970 EVO Plus 250GBNVIDIA Quadro RTX 4000 8GB (1005/6500MHz)Intel Cannon Lake PCH cAVSVE228Intel I219-LM + Intel I210Intel Core i7-9700TE @ 3.80GHz (8 Cores)C OZE GM-1000 v0.0.01.001 (5.13 BIOS)32GBCIE M8 T405 512GBNVIDIA Quadro P2000 4GB (1455/3003MHz)Realtek ALC888-VDDELL S2409WIntel I219-LM + 2 x Intel 10G X550T + Intel I2105.8.0-25-generic (x86_64)OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Disk Details- Karbon 700: NONE / errors=remount-ro,relatime,rw- CompuLab Airtop: MQ-DEADLINE / errors=remount-ro,relatime,rw- CompuLab Airtop3: NONE / errors=remount-ro,relatime,rw- GM-1000: NONE / errors=remount-ro,relatime,rwProcessor Details- Karbon 700: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3- CompuLab Airtop: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x22 - Thermald 2.3- CompuLab Airtop3: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3- GM-1000: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3Java Details- Karbon 700: OpenJDK Runtime Environment (build 11.0.9+11-Ubuntu-0ubuntu1)- CompuLab Airtop: OpenJDK Runtime Environment (build 11.0.9+11-Ubuntu-0ubuntu1)- CompuLab Airtop3: OpenJDK Runtime Environment (build 11.0.9+11-Ubuntu-0ubuntu1)- GM-1000: OpenJDK Runtime Environment (build 11.0.9+10-post-Ubuntu-0ubuntu1)Python Details- Python 3.8.6Security Details- Karbon 700: itlb_multihit: KVM: Mitigation of VMX unsupported + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Mitigation of TSX disabled + tsx_async_abort: Mitigation of TSX disabled - CompuLab Airtop: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable - CompuLab Airtop3: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Mitigation of TSX disabled + tsx_async_abort: Mitigation of TSX disabled - GM-1000: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Mitigation of TSX disabled + tsx_async_abort: Mitigation of TSX disabled OpenCL Details- CompuLab Airtop: GPU Compute Cores: 768- CompuLab Airtop3: GPU Compute Cores: 2304- GM-1000: GPU Compute Cores: 768

Karbon 700CompuLab AirtopCompuLab Airtop3GM-1000Logarithmic Result OverviewPhoronix Test Suite 10.6.1KripkeIORNCNNApache CassandraLAMMPS Molecular Dynamics SimulatorIncompact3DOpenVKLLeelaChessZeroFacebook RocksDBOpenSSLrays1benchTensorFlow LiteNAMDJohn The RipperKvazaarNumenta Anomaly BenchmarkYafaRayTimed Linux Kernel CompilationTimed LLVM CompilationKeyDBIntel Open Image Denoise7-Zip CompressionSVT-AV1LuxCoreRenderSVT-VP9PostgreSQL pgbenchZstd CompressionRealSR-NCNNWaifu2x-NCNN Vulkanx265OCRMyPDFdav1doneDNNTimed GDB GNU Debugger Compilationlibavif avifencTimed PHP CompilationASTC EncoderHigh Performance Conjugate GradientGROMACSFFTETimed Apache CompilationMonte Carlo Simulations of Ionised NebulaeVP9 libvpx EncodingWireGuard + Linux Networking Stack Stress TestPostMarkAI Benchmark AlphaHuginDaCapo BenchmarkRawTherapeeLevelDBeSpeak-NG Speech EngineC-BloscMlpack BenchmarkNumpy BenchmarklibrsvgTimed MAFFT AlignmentMobile Neural NetworkPyPerformanceJava Gradle BuildTesseract OCRDolfynRNNoiseBYTE Unix BenchmarkGitWebP Image EncodeGNU Octave BenchmarkTNNTimed HMMer SearchHierarchical INTegrationLibRawCaffe

GM-1000, Karbon 700, CompuLab Airtop PCskripke: build-llvm: Time To Compilerealsr-ncnn: 4x - Yesincompact3d: Cylinderjava-gradle-perf: Reactorastcenc: Exhaustiveai-benchmark: Device AI Scoreai-benchmark: Device Training Scoreai-benchmark: Device Inference Scoremlpack: scikit_qdalczero: Eigenlczero: BLASgromacs: Water Benchmarkyafaray: Total Time For Sample Scenemocassin: Dust 2D tau100.0caffe: GoogleNet - CPU - 200mlpack: scikit_linearridgeregressionbrl-cad: VGR Performance Metrichint: FLOATnumpy: kvazaar: Bosphorus 4K - Mediumsvt-av1: Enc Mode 0 - 1080pnumenta-nab: Earthgecko Skylinewireguard: openvkl: vklBenchmarkcassandra: Writeshpcg: dav1d: Chimera 1080p 10-bitbuild-linux-kernel: Time To Compilenamd: ATPase Simulation - 327,506 Atomstensorflow-lite: Inception V4avifenc: 0tensorflow-lite: Inception ResNet V2luxcorerender: DLSCmnn: inception-v3mnn: resnet-v2-50mnn: SqueezeNetV1.0john-the-ripper: MD5build-gdb: Time To Compilecaffe: GoogleNet - CPU - 100numenta-nab: Relative Entropyrocksdb: Rand Fillcompress-zstd: 19rocksdb: Rand Fill Syncbyte: Dhrystone 2hmmer: Pfam Database Searchnumenta-nab: Bayesian Changepointrocksdb: Read While Writingluxcorerender: Rainbow Colors and Prismglmark2: 1920 x 1080vpxenc: Speed 0espeak: Text-To-Speech Synthesiscaffe: AlexNet - CPU - 200build-php: Time To Compileavifenc: 2ncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetncnn: CPU - squeezenetrawtherapee: Total Benchmark Timekvazaar: Bosphorus 4K - Very Fastrealsr-ncnn: 4x - Nopyperformance: raytraceopenssl: RSA 4096-bit Performancepgbench: 1 - 1 - Read Write - Average Latencypgbench: 1 - 1 - Read Writex265: Bosphorus 4Kjohn-the-ripper: Blowfishpyperformance: python_startupkeydb: caffe: AlexNet - CPU - 100tensorflow-lite: NASNet Mobilenumenta-nab: Windowed Gaussiantensorflow-lite: SqueezeNetrocksdb: Rand Readhugin: Panorama Photo Assistant + Stitching Timeastcenc: Thoroughonednn: IP Batch 1D - f32 - CPUkvazaar: Bosphorus 1080p - Very Fasttensorflow-lite: Mobilenet Quanttensorflow-lite: Mobilenet Floatpyperformance: 2to3mlpack: scikit_icaonednn: IP Batch All - u8s8f32 - CPUonednn: IP Batch All - f32 - CPUoidn: Memorialonednn: Recurrent Neural Network Training - f32 - CPUncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU - squeezenetonednn: Deconvolution Batch deconv_1d - f32 - CPUgit: Time To Complete Common Git Commandsrays1bench: Large Scenekvazaar: Bosphorus 4K - Ultra Fastonednn: Deconvolution Batch deconv_1d - u8s8f32 - CPUkvazaar: Bosphorus 1080p - Mediumpgbench: 1 - 50 - Read Write - Average Latencypgbench: 1 - 50 - Read Writepgbench: 1 - 1 - Read Only - Average Latencypgbench: 1 - 1 - Read Onlypgbench: 1 - 50 - Read Only - Average Latencypgbench: 1 - 50 - Read Onlypyperformance: goocrmypdf: Processing 60 Page PDF Documentdacapobench: H2onednn: IP Batch 1D - u8s8f32 - CPUsvt-av1: Enc Mode 4 - 1080pcompress-7zip: Compress Speed Testwebp: Quality 100, Lossless, Highest Compressionlibraw: Post-Processing Benchmarkdav1d: Summer Nature 4Kdacapobench: Tradesoapvpxenc: Speed 5x265: Bosphorus 1080pbuild-apache: Time To Compileleveldb: Seek Randpostmark: Disk Transaction Performanceonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUkvazaar: Bosphorus 1080p - Ultra Fastrocksdb: Seq Fillonednn: Recurrent Neural Network Inference - f32 - CPUpyperformance: regex_compiledacapobench: Tradebeanswaifu2x-ncnn: 2x - 3 - Yesastcenc: Mediumdav1d: Chimera 1080ppyperformance: pathlibcompress-zstd: 3mlpack: scikit_svmpyperformance: django_templateleveldb: Rand Readblosc: blosclzrnnoise: pyperformance: pickle_pure_pythonpyperformance: floattesseract-ocr: Time To OCR 7 Imagespyperformance: chaospyperformance: json_loadspyperformance: crypto_pyaespyperformance: nbodytnn: CPU - MobileNet v2rsvg: SVG Files To PNGtnn: CPU - SqueezeNet v1.1mafft: Multiple Sequence Alignment - LSU RNAwebp: Quality 100, Losslessleveldb: Seq Fillleveldb: Seq Filllammps: Rhodopsin Proteindolfyn: Computational Fluid Dynamicssvt-vp9: Visual Quality Optimized - Bosphorus 1080pleveldb: Rand Deleteleveldb: Overwriteleveldb: Overwriteleveldb: Rand Fillleveldb: Rand Fillsvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pleveldb: Hot Readonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUwebp: Quality 100, Highest Compressionavifenc: 10astcenc: Fastoctave-benchmark: onednn: Convolution Batch Shapes Auto - f32 - CPUdacapobench: Jythononednn: Convolution Batch Shapes Auto - u8s8f32 - CPUavifenc: 8waifu2x-ncnn: 2x - 3 - Noleveldb: Fill Syncleveldb: Fill Synconednn: Deconvolution Batch deconv_3d - f32 - CPUdav1d: Summer Nature 1080ponednn: Deconvolution Batch deconv_3d - u8s8f32 - CPUffte: N=256, 3D Complex FFT Routinewebp: Quality 100webp: Defaultior: Read Testior: Write TestKarbon 700CompuLab AirtopCompuLab Airtop3GM-100057419041051.6001764.690512.730326256.350384.661430685745130.533063350.517246.2962652942383.94371786567.42537334.993.030.104192.616207.69298.39501242.3149987.55134.6692.809924371977134.32539526601.0562.30859.9839.170594105117.55214637929.87052635812.5917538072622.2131.20171.55615224591.155246.3531.67511125083.92577.81442.3643.4923.8724.17118.1222.407.8227.5723.5085.4298.61223.4624791931.61.1459419.00112278.52570969.825473326200716.8052982833153797258.57346.096.2734234.6920512620205533260.8141.1275108.9435.27539.07665.8750.2225.9223.85151.4623.542.4116.479.2610.1010.198.1726.1927.586.6180356.44931.9316.007.7204813.8167.1687560.038265440.22122667525528.19032672.555642.1153313543.02527.12100.79517222.8741.4426.42813.67369443.6237567.531033541251.012178395679.3356.20450.5318.21609.027.2549.310.2296843.627.46343411425.65110927.1109131369.08622.564343.22112.44519.97243.65640.55.11621.02596.1344.01355.25032.954.60733.1112.7110.1807.045878.1335.9997.238.56932.0032488130.88416.35410.7721309.9681.47.88671432.274.6349517775.7464928012.6471.673517.18652.8837166941666.606405.7741024.46663251.688597.50135173661576.467377840.466391.4963312942764.4744869370080894.79875276.241.980.068282.796255.81553.75201042.7106163.51217.4084.441127836207203.06870870530.6763.20454.82010.775399692173.46414721151.01346445923.762436078067.2117.86782.8848640660.7337184.5237.786115342118.944120.46138.9046.6023.7524.2481.9220.397.0327.0623.0599.2195.3347.2705381048.43.3203016.10623310.2346852.165759638831927.5915427321862504375.99072.578.6432821.5535518536703637560.1073.5828116.9783.50605.87020.0114.098.706.1733.748.4815.703.322.593.733.1810.7412.3510.293059.82920.179.7413.23768.63156.8663190.047210920.44711191527942.83234565.623211.2902267345.70928.3282.58780317.2127.9136.0645.47950005.4832039.00557302167.479196494419.92711.14307.3423.02511.421.4255.24.1526601.625.33148913627.89212128.0125140301.68226.719292.58512.31521.02544.66319.82.48822.54963.9943.79543.32620.443.38520.480.914.1564.323198.4498.2598.688.60120.3987542719.58018.9833.29210317.6820.117.5367277.9711.290419794.1066358882.8041.823232.4577.3521264093769.66281.525378.579915196.073274.4922361108112862.687658400.819177.7312022066222.47100566471438878.81023420.294.260.134132.854160.387141.93678204.09016114.5898.5091.96010326069799.60929461271.4144.44442.5816.58183645491.59110286922.21587173825.7234448614938.0100.19243.07919233731.537.7723.7057958264.68959.41229.0628.5114.2315.1966.2815.005.1519.0016.2060.83312.0512.6263762539.92.37243412.36152726.82751370.013930919970812.4542265124346559645.83933.234.4973847.2115649615364526442.1427.745767.69057.53322.5948.503.752.111.688.313.220.612.641.481.31.661.434.593.635.0467344.96746.1122.215.6421519.0283.7315970.03335540.16929654520021.68729281.889892.9434875234.79633.35157.41369228.6154.9120.9108.93783332.5611391.461321566143.88813827915.6018.52644.6914.32955.522.4338.97.66310397.821.58233989.920.27185.921.485.9103283.96018.220269.2758.62816.02233.54552.86.78616.678131.8333.73836.68748.336.18349.0169.126.8363.964936.3804.8055.536.48517.0248368916.52365.0866472.0620.36.65640582.073.3135630993.6351886782.0821.3131052.00253.17208895831604.059276.624706.786153271.428631.69137273264087.817587840.533374.7543442553193.1443138360309999.31612322.071.990.074300.544269.93280.39207323.7083176.17212.6484.178686011180190.81654413000.6763.68251.88711.117430834155.39512614049.50263473923.3347336200967.7131.24897.1358087360.7534425.0933.37789424114.796110.73743.0847.3322.5323.5683.0723.996.6130.3325.5495.4815.6237.8755051492.71.9885036.5376549.01458524.514424532124626.1154063692461633175.78876.989.5332423.5427952427839335264.7267.7654114.2913.70670.34116.2813.228.175.8033.337.841.045.233.102.383.393.009.3110.2710.8092160.37219.7410.3812.82039.0168.8967260.040248620.39012837327039.60833394.840051.4462411046.98227.2692.95668019.6531.4232.1155.92865785.9123944.45981091231.386186362116.8689.91354.5119.33601.728.9352.34.7488600.429.10046212227.10811728.4116138369.90824.631362.13011.26821.19727.20432.54.87022.14580.0626.18728.73330.828.45931.1107.794.8544.385028.5726.2837.938.00716.6224483316.12366.6723.2142260.1460.48.88371344.076.6951730890.9066747312.7801.759476.15461.45OpenBenchmarking.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 1.2.4Karbon 700CompuLab AirtopCompuLab Airtop3GM-10005M10M15M20M25MSE +/- 187229.46, N = 9SE +/- 47162.72, N = 4SE +/- 86477.80, N = 3SE +/- 42312.00, N = 35741904371669421264093208895831. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM Per Core, More Is BetterKripke 1.2.4Performance Per CoreKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000600K1200K1800K2400K3000K717738.00929173.502658011.632611197.881. Karbon 700: Detected core count of 82. CompuLab Airtop: Detected core count of 43. CompuLab Airtop3: Detected core count of 84. GM-1000: Detected core count of 8
OpenBenchmarking.orgThroughput FoM Per Thread, More Is BetterKripke 1.2.4Performance Per ThreadKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000600K1200K1800K2400K3000K358869.00464586.751329005.812611197.881. Karbon 700: Detected thread count of 162. CompuLab Airtop: Detected thread count of 83. CompuLab Airtop3: Detected thread count of 164. GM-1000: Detected thread count of 8
OpenBenchmarking.orgThroughput FoM Per GHz, More Is BetterKripke 1.2.4Performance Per ClockKarbon 700CompuLab AirtopCompuLab Airtop3GM-10001.2M2.4M3.6M4.8M6M1472283.081004511.894252818.605497258.681. Karbon 700: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.902. CompuLab Airtop: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70 3. CompuLab Airtop3: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.00 4. GM-1000: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Karbon 700CompuLab AirtopCompuLab Airtop3GM-10004M8M12M16M20MMin: 5140044 / Avg: 5741903.78 / Max: 6810610Min: 3632873 / Avg: 3716694.25 / Max: 3843411Min: 21153180 / Avg: 21264093.33 / Max: 21434480Min: 20805700 / Avg: 20889583.33 / Max: 209412001. (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 CompileKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000400800120016002000SE +/- 0.57, N = 3SE +/- 9.03, N = 3SE +/- 4.62, N = 3SE +/- 1.30, N = 31051.601666.61769.661604.06
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed LLVM Compilation 10.0Performance Per Core - Time To CompileKarbon 700CompuLab AirtopCompuLab Airtop3GM-10003K6K9K12K15K8412.806666.426157.3012832.471. Karbon 700: Detected core count of 82. CompuLab Airtop: Detected core count of 43. CompuLab Airtop3: Detected core count of 84. GM-1000: Detected core count of 8
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterTimed LLVM Compilation 10.0Performance Per Thread - Time To CompileKarbon 700CompuLab AirtopCompuLab Airtop3GM-10004K8K12K16K20K16825.6013332.8512314.5912832.471. Karbon 700: Detected thread count of 162. CompuLab Airtop: Detected thread count of 83. CompuLab Airtop3: Detected thread count of 164. GM-1000: Detected thread count of 8
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterTimed LLVM Compilation 10.0Performance Per Clock - Time To CompileKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000130026003900520065004101.246166.443848.316095.421. Karbon 700: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.902. CompuLab Airtop: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70 3. CompuLab Airtop3: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.00 4. GM-1000: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileKarbon 700CompuLab AirtopCompuLab Airtop3GM-100030060090012001500Min: 1050.94 / Avg: 1051.6 / Max: 1052.73Min: 1648.55 / Avg: 1666.61 / Max: 1675.72Min: 762.19 / Avg: 769.66 / Max: 778.09Min: 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: YesKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000400800120016002000SE +/- 0.20, N = 3SE +/- 6.42, N = 9SE +/- 0.44, N = 3SE +/- 0.07, N = 31764.69405.7781.53276.62
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesKarbon 700CompuLab AirtopCompuLab Airtop3GM-100030060090012001500Min: 1764.31 / Avg: 1764.69 / Max: 1764.95Min: 362.31 / Avg: 405.77 / Max: 418.21Min: 80.72 / Avg: 81.53 / Max: 82.23Min: 276.49 / Avg: 276.62 / Max: 276.75

Incompact3D

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

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderKarbon 700CompuLab AirtopCompuLab Airtop3GM-10002004006008001000SE +/- 1.81, N = 3SE +/- 4.69, N = 3SE +/- 1.24, N = 3SE +/- 1.81, N = 3512.731024.47378.58706.791. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterIncompact3D 2020-09-17Performance Per Core - Input: CylinderKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000120024003600480060004101.844097.873028.645654.291. Karbon 700: Detected core count of 82. CompuLab Airtop: Detected core count of 43. CompuLab Airtop3: Detected core count of 84. GM-1000: Detected core count of 8
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterIncompact3D 2020-09-17Performance Per Thread - Input: CylinderKarbon 700CompuLab AirtopCompuLab Airtop3GM-10002K4K6K8K10K8203.698195.736057.285654.291. Karbon 700: Detected thread count of 162. CompuLab Airtop: Detected thread count of 83. CompuLab Airtop3: Detected thread count of 164. GM-1000: Detected thread count of 8
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterIncompact3D 2020-09-17Performance Per Clock - Input: CylinderKarbon 700CompuLab AirtopCompuLab Airtop3GM-100080016002400320040001999.653790.531892.902685.791. Karbon 700: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.902. CompuLab Airtop: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70 3. CompuLab Airtop3: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.00 4. GM-1000: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80
OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderKarbon 700CompuLab AirtopCompuLab Airtop3GM-10002004006008001000Min: 509.11 / Avg: 512.73 / Max: 514.73Min: 1017.2 / Avg: 1024.47 / Max: 1033.23Min: 376.18 / Avg: 378.58 / Max: 380.34Min: 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

Java Gradle Build

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

OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorKarbon 700CompuLab AirtopCompuLab Airtop3GM-100060120180240300SE +/- 3.91, N = 9SE +/- 3.19, N = 9SE +/- 2.24, N = 12SE +/- 3.29, N = 3256.35251.69196.07271.43
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterJava Gradle BuildPerformance Per Core - Gradle Build: ReactorKarbon 700CompuLab AirtopCompuLab Airtop3GM-100050010001500200025002050.801006.751568.582171.421. Karbon 700: Detected core count of 82. CompuLab Airtop: Detected core count of 43. CompuLab Airtop3: Detected core count of 84. GM-1000: Detected core count of 8
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterJava Gradle BuildPerformance Per Thread - Gradle Build: ReactorKarbon 700CompuLab AirtopCompuLab Airtop3GM-100090018002700360045004101.602013.503137.172171.421. Karbon 700: Detected thread count of 162. CompuLab Airtop: Detected thread count of 83. CompuLab Airtop3: Detected thread count of 164. GM-1000: Detected thread count of 8
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterJava Gradle BuildPerformance Per Clock - Gradle Build: ReactorKarbon 700CompuLab AirtopCompuLab Airtop3GM-10002004006008001000999.77931.25980.371031.431. Karbon 700: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.902. CompuLab Airtop: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70 3. CompuLab Airtop3: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.00 4. GM-1000: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80
OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorKarbon 700CompuLab AirtopCompuLab Airtop3GM-100050100150200250Min: 246.56 / Avg: 256.35 / Max: 283.41Min: 238.13 / Avg: 251.69 / Max: 272.87Min: 187.44 / Avg: 196.07 / Max: 215.73Min: 267.43 / Avg: 271.43 / Max: 277.96

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000140280420560700SE +/- 0.17, N = 3SE +/- 4.46, N = 3SE +/- 0.82, N = 3SE +/- 0.59, N = 3384.66597.50274.49631.691. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterASTC Encoder 2.0Performance Per Core - Preset: ExhaustiveKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000110022003300440055003077.282390.002195.925053.521. Karbon 700: Detected core count of 82. CompuLab Airtop: Detected core count of 43. CompuLab Airtop3: Detected core count of 84. GM-1000: Detected core count of 8
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterASTC Encoder 2.0Performance Per Thread - Preset: ExhaustiveKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000130026003900520065006154.564780.004391.845053.521. Karbon 700: Detected thread count of 162. CompuLab Airtop: Detected thread count of 83. CompuLab Airtop3: Detected thread count of 164. GM-1000: Detected thread count of 8
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterASTC Encoder 2.0Performance Per Clock - Preset: ExhaustiveKarbon 700CompuLab AirtopCompuLab Airtop3GM-100050010001500200025001500.172210.751372.452400.421. Karbon 700: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.902. CompuLab Airtop: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70 3. CompuLab Airtop3: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.00 4. GM-1000: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000110220330440550Min: 384.34 / Avg: 384.66 / Max: 384.94Min: 591.1 / Avg: 597.5 / Max: 606.07Min: 272.97 / Avg: 274.49 / Max: 275.76Min: 630.77 / Avg: 631.69 / Max: 632.791. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

AI Benchmark Alpha

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

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreKarbon 700CompuLab AirtopCompuLab Airtop3GM-100050010001500200025001430135122361372
OpenBenchmarking.orgScore Per Core, More Is BetterAI Benchmark Alpha 0.1.2Performance Per Core - Device AI ScoreKarbon 700CompuLab AirtopCompuLab Airtop3GM-100070140210280350178.75337.75279.50171.501. Karbon 700: Detected core count of 82. CompuLab Airtop: Detected core count of 43. CompuLab Airtop3: Detected core count of 84. GM-1000: Detected core count of 8
OpenBenchmarking.orgScore Per Thread, More Is BetterAI Benchmark Alpha 0.1.2Performance Per Thread - Device AI ScoreKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000408012016020089.38168.88139.75171.501. Karbon 700: Detected thread count of 162. CompuLab Airtop: Detected thread count of 83. CompuLab Airtop3: Detected thread count of 164. GM-1000: Detected thread count of 8
OpenBenchmarking.orgScore Per GHz, More Is BetterAI Benchmark Alpha 0.1.2Performance Per Clock - Device AI ScoreKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000100200300400500366.67365.14447.20361.051. Karbon 700: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.902. CompuLab Airtop: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70 3. CompuLab Airtop3: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.00 4. GM-1000: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreKarbon 700CompuLab AirtopCompuLab Airtop3GM-100020040060080010006857361108732
OpenBenchmarking.orgScore Per Core, More Is BetterAI Benchmark Alpha 0.1.2Performance Per Core - Device Training ScoreKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000408012016020085.63184.00138.5091.501. Karbon 700: Detected core count of 82. CompuLab Airtop: Detected core count of 43. CompuLab Airtop3: Detected core count of 84. GM-1000: Detected core count of 8
OpenBenchmarking.orgScore Per Thread, More Is BetterAI Benchmark Alpha 0.1.2Performance Per Thread - Device Training ScoreKarbon 700CompuLab AirtopCompuLab Airtop3GM-10002040608010042.8192.0069.2591.501. Karbon 700: Detected thread count of 162. CompuLab Airtop: Detected thread count of 83. CompuLab Airtop3: Detected thread count of 164. GM-1000: Detected thread count of 8
OpenBenchmarking.orgScore Per GHz, More Is BetterAI Benchmark Alpha 0.1.2Performance Per Clock - Device Training ScoreKarbon 700CompuLab AirtopCompuLab Airtop3GM-100050100150200250175.64198.92221.60192.631. Karbon 700: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.902. CompuLab Airtop: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70 3. CompuLab Airtop3: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.00 4. GM-1000: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreKarbon 700CompuLab AirtopCompuLab Airtop3GM-100020040060080010007456151128640
OpenBenchmarking.orgScore Per Core, More Is BetterAI Benchmark Alpha 0.1.2Performance Per Core - Device Inference ScoreKarbon 700CompuLab AirtopCompuLab Airtop3GM-100030609012015093.13153.75141.0080.001. Karbon 700: Detected core count of 82. CompuLab Airtop: Detected core count of 43. CompuLab Airtop3: Detected core count of 84. GM-1000: Detected core count of 8
OpenBenchmarking.orgScore Per Thread, More Is BetterAI Benchmark Alpha 0.1.2Performance Per Thread - Device Inference ScoreKarbon 700CompuLab AirtopCompuLab Airtop3GM-10002040608010046.5676.8870.5080.001. Karbon 700: Detected thread count of 162. CompuLab Airtop: Detected thread count of 83. CompuLab Airtop3: Detected thread count of 164. GM-1000: Detected thread count of 8
OpenBenchmarking.orgScore Per GHz, More Is BetterAI Benchmark Alpha 0.1.2Performance Per Clock - Device Inference ScoreKarbon 700CompuLab AirtopCompuLab Airtop3GM-100050100150200250191.03166.22225.60168.421. Karbon 700: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.902. CompuLab Airtop: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70 3. CompuLab Airtop3: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.00 4. GM-1000: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000306090120150SE +/- 10.16, N = 12SE +/- 1.20, N = 12SE +/- 0.23, N = 3SE +/- 0.01, N = 3130.5376.4662.6887.81
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterMlpack BenchmarkPerformance Per Core - Benchmark: scikit_qdaKarbon 700CompuLab AirtopCompuLab Airtop3GM-100020040060080010001044.24305.84501.44702.481. Karbon 700: Detected core count of 82. CompuLab Airtop: Detected core count of 43. CompuLab Airtop3: Detected core count of 84. GM-1000: Detected core count of 8
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterMlpack BenchmarkPerformance Per Thread - Benchmark: scikit_qdaKarbon 700CompuLab AirtopCompuLab Airtop3GM-10004008001200160020002088.48611.681002.88702.481. Karbon 700: Detected thread count of 162. CompuLab Airtop: Detected thread count of 83. CompuLab Airtop3: Detected thread count of 164. GM-1000: Detected thread count of 8
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterMlpack BenchmarkPerformance Per Clock - Benchmark: scikit_qdaKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000110220330440550509.07282.90313.40333.681. Karbon 700: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.902. CompuLab Airtop: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70 3. CompuLab Airtop3: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.00 4. GM-1000: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaKarbon 700CompuLab AirtopCompuLab Airtop3GM-100020406080100Min: 103.21 / Avg: 130.53 / Max: 202.27Min: 74.48 / Avg: 76.46 / Max: 89.6Min: 62.34 / Avg: 62.68 / Max: 63.13Min: 87.8 / Avg: 87.81 / Max: 87.82

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: EigenKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000160320480640800SE +/- 4.33, N = 3SE +/- 3.38, N = 3SE +/- 7.36, N = 3SE +/- 2.52, N = 33067377657581. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second Per Core, More Is BetterLeelaChessZero 0.26Performance Per Core - Backend: EigenKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000408012016020038.25184.2595.6394.751. Karbon 700: Detected core count of 82. CompuLab Airtop: Detected core count of 43. CompuLab Airtop3: Detected core count of 84. GM-1000: Detected core count of 8
OpenBenchmarking.orgNodes Per Second Per Thread, More Is BetterLeelaChessZero 0.26Performance Per Thread - Backend: EigenKarbon 700CompuLab AirtopCompuLab Airtop3GM-10002040608010019.1392.1347.8194.751. Karbon 700: Detected thread count of 162. CompuLab Airtop: Detected thread count of 83. CompuLab Airtop3: Detected thread count of 164. GM-1000: Detected thread count of 8
OpenBenchmarking.orgNodes Per Second Per GHz, More Is BetterLeelaChessZero 0.26Performance Per Clock - Backend: EigenKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000408012016020078.46199.19153.00199.471. Karbon 700: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.902. CompuLab Airtop: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70 3. CompuLab Airtop3: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.00 4. GM-1000: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000130260390520650Min: 299 / Avg: 306.33 / Max: 314Min: 733 / Avg: 737.33 / Max: 744Min: 757 / Avg: 765.33 / Max: 780Min: 755 / Avg: 758 / Max: 7631. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASKarbon 700CompuLab AirtopCompuLab Airtop3GM-10002004006008001000SE +/- 10.93, N = 3SE +/- 8.54, N = 3SE +/- 6.44, N = 33357848407841. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second Per Core, More Is BetterLeelaChessZero 0.26Performance Per Core - Backend: BLASKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000408012016020041.88196.00105.0098.001. Karbon 700: Detected core count of 82. CompuLab Airtop: Detected core count of 43. CompuLab Airtop3: Detected core count of 84. GM-1000: Detected core count of 8
OpenBenchmarking.orgNodes Per Second Per Thread, More Is BetterLeelaChessZero 0.26Performance Per Thread - Backend: BLASKarbon 700CompuLab AirtopCompuLab Airtop3GM-10002040608010020.9498.0052.5098.001. Karbon 700: Detected thread count of 162. CompuLab Airtop: Detected thread count of 83. CompuLab Airtop3: Detected thread count of 164. GM-1000: Detected thread count of 8
OpenBenchmarking.orgNodes Per Second Per GHz, More Is BetterLeelaChessZero 0.26Performance Per Clock - Backend: BLASKarbon 700CompuLab AirtopCompuLab Airtop3GM-10005010015020025085.90211.89168.00206.321. Karbon 700: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.902. CompuLab Airtop: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70 3. CompuLab Airtop3: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.00 4. GM-1000: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000150300450600750Min: 762 / Avg: 783.67 / Max: 797Min: 823 / Avg: 840 / Max: 850Min: 771 / Avg: 783.67 / Max: 7921. (CXX) g++ options: -flto -pthread

GROMACS

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

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkKarbon 700CompuLab AirtopCompuLab Airtop3GM-10000.18430.36860.55290.73720.9215SE +/- 0.001, N = 3SE +/- 0.006, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 30.5170.4660.8190.5331. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day Per Core, More Is BetterGROMACS 2020.3Performance Per Core - Water BenchmarkKarbon 700CompuLab AirtopCompuLab Airtop3GM-10000.02620.05240.07860.10480.1310.06460.11650.10240.06661. Karbon 700: Detected core count of 82. CompuLab Airtop: Detected core count of 43. CompuLab Airtop3: Detected core count of 84. GM-1000: Detected core count of 8
OpenBenchmarking.orgNs Per Day Per Thread, More Is BetterGROMACS 2020.3Performance Per Thread - Water BenchmarkKarbon 700CompuLab AirtopCompuLab Airtop3GM-10000.0150.030.0450.060.0750.03230.05830.05120.06661. Karbon 700: Detected thread count of 162. CompuLab Airtop: Detected thread count of 83. CompuLab Airtop3: Detected thread count of 164. GM-1000: Detected thread count of 8
OpenBenchmarking.orgNs Per Day Per GHz, More Is BetterGROMACS 2020.3Performance Per Clock - Water BenchmarkKarbon 700CompuLab AirtopCompuLab Airtop3GM-10000.03690.07380.11070.14760.18450.13260.12590.16380.14031. Karbon 700: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.902. CompuLab Airtop: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70 3. CompuLab Airtop3: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.00 4. GM-1000: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000246810Min: 0.52 / Avg: 0.52 / Max: 0.52Min: 0.46 / Avg: 0.47 / Max: 0.48Min: 0.82 / Avg: 0.82 / Max: 0.82Min: 0.53 / Avg: 0.53 / Max: 0.541. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

YafaRay

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

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneKarbon 700CompuLab AirtopCompuLab Airtop3GM-100080160240320400SE +/- 0.75, N = 3SE +/- 0.14, N = 3SE +/- 0.40, N = 3SE +/- 2.21, N = 3246.30391.50177.73374.751. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterYafaRay 3.4.1Performance Per Core - Total Time For Sample SceneKarbon 700CompuLab AirtopCompuLab Airtop3GM-100060012001800240030001970.371565.981421.852998.031. Karbon 700: Detected core count of 82. CompuLab Airtop: Detected core count of 43. CompuLab Airtop3: Detected core count of 84. GM-1000: Detected core count of 8
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterYafaRay 3.4.1Performance Per Thread - Total Time For Sample SceneKarbon 700CompuLab AirtopCompuLab Airtop3GM-100080016002400320040003940.743131.972843.702998.031. Karbon 700: Detected thread count of 162. CompuLab Airtop: Detected thread count of 83. CompuLab Airtop3: Detected thread count of 164. GM-1000: Detected thread count of 8
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterYafaRay 3.4.1Performance Per Clock - Total Time For Sample SceneKarbon 700CompuLab AirtopCompuLab Airtop3GM-100030060090012001500960.551448.54888.661424.071. Karbon 700: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.902. CompuLab Airtop: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70 3. CompuLab Airtop3: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.00 4. GM-1000: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80
OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneKarbon 700CompuLab AirtopCompuLab Airtop3GM-100070140210280350Min: 244.83 / Avg: 246.3 / Max: 247.34Min: 391.24 / Avg: 391.5 / Max: 391.71Min: 177.05 / Avg: 177.73 / Max: 178.44Min: 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

Monte Carlo Simulations of Ionised Nebulae

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Karbon 700CompuLab AirtopCompuLab Airtop3GM-100070140210280350SE +/- 0.67, N = 3SE +/- 3.84, N = 3SE +/- 0.58, N = 3SE +/- 1.33, N = 32653312023441. (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
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Performance Per Core - Input: Dust 2D tau100.0Karbon 700CompuLab AirtopCompuLab Airtop3GM-1000600120018002400300021201324161627521. Karbon 700: Detected core count of 82. CompuLab Airtop: Detected core count of 43. CompuLab Airtop3: Detected core count of 84. GM-1000: Detected core count of 8
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Performance Per Thread - Input: Dust 2D tau100.0Karbon 700CompuLab AirtopCompuLab Airtop3GM-1000900180027003600450042402648323227521. Karbon 700: Detected thread count of 162. CompuLab Airtop: Detected thread count of 83. CompuLab Airtop3: Detected thread count of 164. GM-1000: Detected thread count of 8
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Performance Per Clock - Input: Dust 2D tau100.0Karbon 700CompuLab AirtopCompuLab Airtop3GM-1000300600900120015001033.51224.71010.01307.21. Karbon 700: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.902. CompuLab Airtop: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70 3. CompuLab Airtop3: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.00 4. GM-1000: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Karbon 700CompuLab AirtopCompuLab Airtop3GM-100060120180240300Min: 264 / Avg: 265.33 / Max: 266Min: 323 / Avg: 330.67 / Max: 335Min: 201 / Avg: 202 / Max: 203Min: 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

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Karbon 700CompuLab AirtopCompuLab Airtop3GM-100060K120K180K240K300KSE +/- 572.20, N = 3SE +/- 117.62, N = 3SE +/- 196.94, N = 3SE +/- 2728.74, N = 32942382942762066222553191. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds x Core, Fewer Is BetterCaffe 2020-02-13Performance Per Core - Model: GoogleNet - Acceleration: CPU - Iterations: 200Karbon 700CompuLab AirtopCompuLab Airtop3GM-1000500K1000K1500K2000K2500K23539041177104165297620425521. Karbon 700: Detected core count of 82. CompuLab Airtop: Detected core count of 43. CompuLab Airtop3: Detected core count of 84. GM-1000: Detected core count of 8
OpenBenchmarking.orgMilli-Seconds x Thread, Fewer Is BetterCaffe 2020-02-13Performance Per Thread - Model: GoogleNet - Acceleration: CPU - Iterations: 200Karbon 700CompuLab AirtopCompuLab Airtop3GM-10001000K2000K3000K4000K5000K47078082354208330595220425521. Karbon 700: Detected thread count of 162. CompuLab Airtop: Detected thread count of 83. CompuLab Airtop3: Detected thread count of 164. GM-1000: Detected thread count of 8
OpenBenchmarking.orgMilli-Seconds x GHz, Fewer Is BetterCaffe 2020-02-13Performance Per Clock - Model: GoogleNet - Acceleration: CPU - Iterations: 200Karbon 700CompuLab AirtopCompuLab Airtop3GM-1000200K400K600K800K1000K1147528.21088821.21033110.0970212.21. Karbon 700: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.902. CompuLab Airtop: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70 3. CompuLab Airtop3: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.00 4. GM-1000: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Karbon 700CompuLab AirtopCompuLab Airtop3GM-100050K100K150K200K250KMin: 293188 / Avg: 294238.33 / Max: 295157Min: 294136 / Avg: 294276.33 / Max: 294510Min: 206248 / Avg: 206622 / Max: 206916Min: 250680 / Avg: 255318.67 / Max: 2601281. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionKarbon 700CompuLab AirtopCompuLab Airtop3GM-10001.00582.01163.01744.02325.029SE +/- 0.06, N = 15SE +/- 0.01, N = 3SE +/- 0.03, N = 15SE +/- 0.03, N = 153.944.472.473.14
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterMlpack BenchmarkPerformance Per Core - Benchmark: scikit_linearridgeregressionKarbon 700CompuLab AirtopCompuLab Airtop3GM-100071421283531.5217.8819.7625.121. Karbon 700: Detected core count of 82. CompuLab Airtop: Detected core count of 43. CompuLab Airtop3: Detected core count of 84. GM-1000: Detected core count of 8
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterMlpack BenchmarkPerformance Per Thread - Benchmark: scikit_linearridgeregressionKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000142842567063.0435.7639.5225.121. Karbon 700: Detected thread count of 162. CompuLab Airtop: Detected thread count of 83. CompuLab Airtop3: Detected thread count of 164. GM-1000: Detected thread count of 8
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterMlpack BenchmarkPerformance Per Clock - Benchmark: scikit_linearridgeregressionKarbon 700CompuLab AirtopCompuLab Airtop3GM-10004812162015.3716.5412.3511.931. Karbon 700: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.902. CompuLab Airtop: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.70 3. CompuLab Airtop3: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 5.00 4. GM-1000: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.80
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionKarbon 700CompuLab AirtopCompuLab Airtop3GM-1000246810Min: 3.33 / Avg: 3.94 / Max: 4.27Min: 4.45 / Avg: 4.47 / Max: 4.49Min: 2.25 / Avg: 2.47 / Max: 2.63Min: 2.97 / Avg: 3.14 / Max: 3.34

BRL-CAD

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

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricCompuLab AirtopCompuLab Airtop3GM-100020K40K60K80K100K44869100566431381. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lGLU -lGL -lGLdispatch -lX11 -lXext -lpthread -ldl -luuid -lm