Atom E3930 Logic Supply Karbon 300 Benchmarks

Tests for a future article on Phoronix.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 1905316-HV-KARBON30026
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DN2820FYK
May 30 2019
  50 Minutes
NUC5i3RYB
May 30 2019
  22 Minutes
Fitlet2
May 30 2019
  36 Minutes
Karbon 300
May 29 2019
  36 Minutes
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Atom E3930 Logic Supply Karbon 300 BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionDN2820FYKNUC5i3RYBFitlet2Karbon 300Intel Celeron N2820 @ 2.40GHz (2 Cores)Intel DN2820FYK (FYBYT10H.86A.0050.2015.0326.1731 BIOS)Intel Atom Z36xxx/Z37xxx8192MB60GB OCZ VERTEX2Intel Bay Trail 2GB (756MHz)Realtek ALC283Acer B286HKRealtek RTL8111/8168/8411 + Intel 7260Ubuntu 18.044.18.0-20-generic (x86_64)GNOME Shell 3.28.3X Server 1.20.1modesetting 1.20.14.2 Mesa 18.2.8GCC 7.4.0ext41920x1080Intel Core i3-5010U @ 2.00GHz (2 Cores / 4 Threads)Intel NUC5i3RYB (RYBDWi35.86A.0130.2014.1203.1639 BIOS)Intel Broadwell-U-OPI256GB TS256GSSD370 + 16GB Voyager 3.0Intel HD 5500 (900MHz)Intel Broadwell-U AudioIntel I218-V + Intel 72654.5 Mesa 18.2.8Intel Celeron J3455 @ 2.30GHz (4 Cores)Compulab fitlet2 v1.1 (FLT2.0.38.01.00 BIOS)Intel Celeron N3350/Pentium127GB NT-128inteldrmfb (750MHz)Realtek ALC11502 x Intel I211 + Intel 8260Intel Atom E3930 @ 1.80GHz (2 Cores)MiTAC NeonPoint (D8000X08 BIOS)4096MB256GB TS256GMTE510Tinteldrmfb (550MHz)Realtek ALC2333 x Intel I2104.15.0-50-generic (x86_64)X Server 1.19.6modesetting 1.19.6OpenBenchmarking.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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v Disk Details- DN2820FYK: CFQ / errors=remount-ro,relatime,rw- NUC5i3RYB: CFQ / errors=remount-ro,relatime,rw- Fitlet2: CFQ / errors=remount-ro,relatime,rw- Karbon 300: NONE / data=ordered,errors=remount-ro,relatime,rwProcessor Details- Scaling Governor: intel_pstate powersaveJava Details- OpenJDK Runtime Environment (build 11.0.3+7-Ubuntu-1ubuntu218.04.1)Python Details- Python 2.7.15rc1 + Python 3.6.7Security Details- DN2820FYK: l1tf: Not affected + mds: Vulnerable: Clear buffers attempted no microcode; SMT disabled + meltdown: Mitigation of PTI + spec_store_bypass: Not affected + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline STIBP: disabled RSB filling - NUC5i3RYB: 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 __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling - Fitlet2: l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Not affected + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling - Karbon 300: l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Not affected + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling

DN2820FYKNUC5i3RYBFitlet2Karbon 300Logarithmic Result OverviewPhoronix Test Suite 10.6.1ctx_clockSQLiteGo BenchmarksDaCapo BenchmarkFS-MarkPerl BenchmarksPyBenchPHPBenchGIMPStress-NG

DN2820FYKNUC5i3RYBFitlet2Karbon 300Per Watt Result OverviewPhoronix Test Suite 10.6.1100%140%180%220%260%FS-MarkStress-NGPHPBenchP.W.G.MP.W.G.MP.W.G.M

Atom E3930 Logic Supply Karbon 300 Benchmarksstress-ng: Semaphoresfs-mark: 1000 Files, 1MB Sizephpbench: PHP Benchmark Suitectx-clock: Context Switch Timepybench: Total For Average Test Timesdacapobench: Jythongo-benchmark: jsongo-benchmark: garbagesqlite: Timed SQLite Insertionsgimp: resizegimp: rotategimp: auto-levelsperl-benchmark: Pod2htmlDN2820FYKNUC5i3RYBFitlet2Karbon 3003140898119.771409098595047306971352454452602851921.8031.1466.4762.330.64715797232752087.003003381341231412970502499171034012864.1717.3040.1636.650.24953099379518595.4320758719138641732943916330984573366.9019.7644.2943.300.445483713463337230.931624152114944254151069489552320661714.5026.4059.5260.000.56515477OpenBenchmarking.org

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringFitlet2NUC5i3RYBDN2820FYKKarbon 3001326395265Min: 40 / Avg: 51.97 / Max: 64Min: 35 / Avg: 45.96 / Max: 62Min: 39 / Avg: 43.85 / Max: 47Min: 31 / Avg: 35.49 / Max: 38

CPU Power Consumption Monitor

MinAvgMaxNUC5i3RYB1.675.714.98Fitlet20.83.88.21Karbon 3001.442.22.9DN2820FYK0.261.14.39OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System Monitoring510152025

System Power Consumption Monitor

MinAvgMaxNUC5i3RYB7.012.027.7Karbon 3008.19.812.1Fitlet24.49.118.4DN2820FYK7.08.711.5OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System Monitoring918273645

Stress-NG

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.07.26Test: SemaphoresNUC5i3RYBKarbon 300DN2820FYKFitlet290K180K270K360K450K207522370166383292405743

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: SemaphoresNUC5i3RYBDN2820FYKKarbon 300Fitlet2800K1600K2400K3200K4000KSE +/- 10190.43, N = 3SE +/- 187752.62, N = 12SE +/- 63105.46, N = 15SE +/- 51796.96, N = 1423275203140898346333737951851. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: SemaphoresNUC5i3RYBDN2820FYKKarbon 300Fitlet2700K1400K2100K2800K3500KMin: 2309699.88 / Avg: 2327519.91 / Max: 2344995.54Min: 2095548.42 / Avg: 3140897.83 / Max: 4801848.35Min: 3002305.37 / Avg: 3463337.1 / Max: 4077706.73Min: 3293937.63 / Avg: 3795184.81 / Max: 4049077.561. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lpthread -lc

FS-Mark

OpenBenchmarking.orgFiles/s Per Watt, More Is BetterFS-Mark 3.3Test: 1000 Files, 1MB SizeNUC5i3RYBDN2820FYKFitlet2Karbon 3006121824309.9215.0316.4925.80

OpenBenchmarking.orgFiles/s, More Is BetterFS-Mark 3.3Test: 1000 Files, 1MB SizeNUC5i3RYBFitlet2DN2820FYKKarbon 30050100150200250SE +/- 1.09, N = 5SE +/- 0.23, N = 3SE +/- 0.56, N = 3SE +/- 3.89, N = 387.0095.43119.77230.931. (CC) gcc options: -static
OpenBenchmarking.orgFiles/s, More Is BetterFS-Mark 3.3Test: 1000 Files, 1MB SizeNUC5i3RYBFitlet2DN2820FYKKarbon 3004080120160200Min: 84.7 / Avg: 87 / Max: 90.7Min: 95.2 / Avg: 95.43 / Max: 95.9Min: 118.7 / Avg: 119.77 / Max: 120.6Min: 226.7 / Avg: 230.93 / Max: 238.71. (CC) gcc options: -static

Meta Performance Per Watt

OpenBenchmarking.orgPerformance Per Watt, More Is BetterMeta Performance Per WattPerformance Per WattFitlet2DN2820FYKNUC5i3RYB100020003000400050003399.223628.564452.15

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. The number of iterations used is 1,000,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteDN2820FYKKarbon 300Fitlet2NUC5i3RYB60K120K180K240K300KSE +/- 62.04, N = 3SE +/- 279.43, N = 3SE +/- 243.98, N = 3SE +/- 330.78, N = 3140909162415207587300338
OpenBenchmarking.orgScore Per Core, More Is BetterPHPBench 0.8.1Performance Per Core - PHP Benchmark SuiteFitlet2DN2820FYKKarbon 300NUC5i3RYB30K60K90K120K150K51896.7570454.5081207.50150169.001. Fitlet2: Detected core count of 42. DN2820FYK: Detected core count of 23. Karbon 300: Detected core count of 24. NUC5i3RYB: Detected core count of 2
OpenBenchmarking.orgScore Per Thread, More Is BetterPHPBench 0.8.1Performance Per Thread - PHP Benchmark SuiteFitlet2DN2820FYKNUC5i3RYBKarbon 30020K40K60K80K100K51896.7570454.5075084.5081207.501. Fitlet2: Detected thread count of 42. DN2820FYK: Detected thread count of 23. NUC5i3RYB: Detected thread count of 44. Karbon 300: Detected thread count of 2
OpenBenchmarking.orgScore Per GHz, More Is BetterPHPBench 0.8.1Performance Per Clock - PHP Benchmark SuiteDN2820FYKKarbon 300Fitlet2NUC5i3RYB30K60K90K120K150K58712.0890230.5690255.22150169.001. DN2820FYK: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.402. Karbon 300: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.803. Fitlet2: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.304. NUC5i3RYB: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteDN2820FYKKarbon 300Fitlet2NUC5i3RYB50K100K150K200K250KMin: 140785 / Avg: 140909 / Max: 140975Min: 161968 / Avg: 162415 / Max: 162929Min: 207125 / Avg: 207587 / Max: 207954Min: 299709 / Avg: 300338 / Max: 300830

OpenBenchmarking.orgScore Per Watt, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteDN2820FYKKarbon 300NUC5i3RYBFitlet26K12K18K24K30K17304181602991730038

SQLite

MinAvgMaxFitlet240.0041.843.00DN2820FYK40.0041.042.00NUC5i3RYB36.0036.036.00Karbon 30032.0033.034.00OpenBenchmarking.orgCelsius, Fewer Is BetterSQLite 3.22CPU Temperature Monitor1224364860

FS-Mark

MinAvgMaxDN2820FYK41.0041.942.00Fitlet241.0041.442.00NUC5i3RYB36.0036.437.00Karbon 30032.0032.834.00OpenBenchmarking.orgCelsius, Fewer Is BetterFS-Mark 3.3CPU Temperature Monitor1224364860

Stress-NG

MinAvgMaxFitlet247.0052.454.00NUC5i3RYB41.0047.249.00DN2820FYK42.0043.844.00Karbon 30034.0036.237.00OpenBenchmarking.orgCelsius, Fewer Is BetterStress-NG 0.07.26CPU Temperature Monitor1530456075

DaCapo Benchmark

MinAvgMaxFitlet249.0054.658.00NUC5i3RYB44.0051.154.00DN2820FYK42.0045.646.00Karbon 30032.0035.237.00OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Temperature Monitor1632486480

PyBench

MinAvgMaxFitlet245.0047.449.00DN2820FYK41.0042.844.00NUC5i3RYB40.0041.842.00Karbon 30033.0035.537.00OpenBenchmarking.orgCelsius, Fewer Is BetterPyBench 2018-02-16CPU Temperature Monitor1428425670

PHPBench

MinAvgMaxFitlet244.0047.850.00DN2820FYK41.0042.444.00NUC5i3RYB39.0040.942.00Karbon 30034.0034.836.00OpenBenchmarking.orgCelsius, Fewer Is BetterPHPBench 0.8.1CPU Temperature Monitor1428425670

Perl Benchmarks

MinAvgMaxFitlet244.0046.549.00NUC5i3RYB40.0043.248.00DN2820FYK41.0042.643.00Karbon 30033.0035.037.00OpenBenchmarking.orgCelsius, Fewer Is BetterPerl BenchmarksCPU Temperature Monitor1428425670

Go Benchmarks

MinAvgMaxFitlet244.0049.854.00NUC5i3RYB41.0046.050.00DN2820FYK41.0042.544.00Karbon 30033.0034.736.00OpenBenchmarking.orgCelsius, Fewer Is BetterGo BenchmarksCPU Temperature Monitor1530456075

MinAvgMaxFitlet244.0049.853.00NUC5i3RYB39.0047.051.00DN2820FYK41.0043.044.00Karbon 30033.0035.036.00OpenBenchmarking.orgCelsius, Fewer Is BetterGo BenchmarksCPU Temperature Monitor1530456075

GIMP

MinAvgMaxFitlet250.0052.655.00NUC5i3RYB42.0045.249.00DN2820FYK43.0044.044.00OpenBenchmarking.orgCelsius, Fewer Is BetterGIMP 2.8.22CPU Temperature Monitor1530456075

MinAvgMaxFitlet248.0051.053.00NUC5i3RYB41.0044.348.00DN2820FYK43.0043.644.00OpenBenchmarking.orgCelsius, Fewer Is BetterGIMP 2.8.22CPU Temperature Monitor1530456075

MinAvgMaxFitlet247.0049.853.00NUC5i3RYB40.0044.549.00DN2820FYK42.0043.644.00OpenBenchmarking.orgCelsius, Fewer Is BetterGIMP 2.8.22CPU Temperature Monitor1530456075

ctx_clock

MinAvgMaxNUC5i3RYB41.0043.445.00DN2820FYK42.0042.042.00OpenBenchmarking.orgCelsius, Fewer Is Betterctx_clockCPU Temperature Monitor1224364860

OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeNUC5i3RYBDN2820FYKKarbon 300Fitlet230060090012001500SE +/- 1.53, N = 3SE +/- 5.33, N = 3SE +/- 0.67, N = 31341859211191
OpenBenchmarking.orgClocks x Core, Fewer Is Betterctx_clockPerformance Per Core - Context Switch TimeNUC5i3RYBDN2820FYKFitlet2Karbon 3006001200180024003000268217187644221. NUC5i3RYB: Detected core count of 22. DN2820FYK: Detected core count of 23. Fitlet2: Detected core count of 44. Karbon 300: Detected core count of 2
OpenBenchmarking.orgClocks x Thread, Fewer Is Betterctx_clockPerformance Per Thread - Context Switch TimeNUC5i3RYBDN2820FYKFitlet2Karbon 30011002200330044005500536417187644221. NUC5i3RYB: Detected thread count of 42. DN2820FYK: Detected thread count of 23. Fitlet2: Detected thread count of 44. Karbon 300: Detected thread count of 2
OpenBenchmarking.orgClocks x GHz, Fewer Is Betterctx_clockPerformance Per Clock - Context Switch TimeNUC5i3RYBDN2820FYKFitlet2Karbon 30060012001800240030002682.02061.6439.3379.81. NUC5i3RYB: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.002. DN2820FYK: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.403. Fitlet2: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.304. Karbon 300: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.80
OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeNUC5i3RYBDN2820FYKKarbon 300Fitlet22004006008001000Min: 1339 / Avg: 1341 / Max: 1344Min: 848 / Avg: 858.67 / Max: 864Min: 190 / Avg: 190.67 / Max: 192

PyBench

This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesDN2820FYKKarbon 300Fitlet2NUC5i3RYB11002200330044005500SE +/- 6.77, N = 3SE +/- 21.28, N = 3SE +/- 5.93, N = 3SE +/- 3.84, N = 35047494438642314
OpenBenchmarking.orgMilliseconds x Core, Fewer Is BetterPyBench 2018-02-16Performance Per Core - Total For Average Test TimesFitlet2DN2820FYKKarbon 300NUC5i3RYB3K6K9K12K15K1545610094988846281. Fitlet2: Detected core count of 42. DN2820FYK: Detected core count of 23. Karbon 300: Detected core count of 24. NUC5i3RYB: Detected core count of 2
OpenBenchmarking.orgMilliseconds x Thread, Fewer Is BetterPyBench 2018-02-16Performance Per Thread - Total For Average Test TimesFitlet2DN2820FYKKarbon 300NUC5i3RYB3K6K9K12K15K1545610094988892561. Fitlet2: Detected thread count of 42. DN2820FYK: Detected thread count of 23. Karbon 300: Detected thread count of 24. NUC5i3RYB: Detected thread count of 4
OpenBenchmarking.orgMilliseconds x GHz, Fewer Is BetterPyBench 2018-02-16Performance Per Clock - Total For Average Test TimesDN2820FYKKarbon 300Fitlet2NUC5i3RYB3K6K9K12K15K12112.88899.28887.24628.01. DN2820FYK: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.402. Karbon 300: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.803. Fitlet2: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.304. NUC5i3RYB: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesDN2820FYKKarbon 300Fitlet2NUC5i3RYB9001800270036004500Min: 5038 / Avg: 5046.67 / Max: 5060Min: 4902 / Avg: 4943.67 / Max: 4972Min: 3853 / Avg: 3864.33 / Max: 3873Min: 2308 / Avg: 2313.67 / Max: 2321

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: JythonDN2820FYKKarbon 300Fitlet2NUC5i3RYB7K14K21K28K35KSE +/- 358.09, N = 20SE +/- 90.21, N = 4SE +/- 143.26, N = 13SE +/- 189.19, N = 430697254151732912970
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonDN2820FYKKarbon 300Fitlet2NUC5i3RYB5K10K15K20K25KMin: 28127 / Avg: 30697.2 / Max: 33732Min: 25147 / Avg: 25414.5 / Max: 25541Min: 16481 / Avg: 17329.38 / Max: 18167Min: 12527 / Avg: 12970.25 / Max: 13420

Go Benchmarks

Benchmark for monitoring real time performance of the Go implementation for HTTP, JSON and garbage testing per iteration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNanoseconds/Operation, Fewer Is BetterGo BenchmarksTest: jsonDN2820FYKKarbon 300NUC5i3RYBFitlet230M60M90M120M150MSE +/- 230953.97, N = 3SE +/- 269037.41, N = 3SE +/- 99790.53, N = 3SE +/- 126847.30, N = 31352454451069489555024991743916330
OpenBenchmarking.orgNanoseconds/Operation x Core, Fewer Is BetterGo BenchmarksPerformance Per Core - Test: jsonDN2820FYKKarbon 300Fitlet2NUC5i3RYB60M120M180M240M300M2704908902138979101756653201004998341. DN2820FYK: Detected core count of 22. Karbon 300: Detected core count of 23. Fitlet2: Detected core count of 44. NUC5i3RYB: Detected core count of 2
OpenBenchmarking.orgNanoseconds/Operation x Thread, Fewer Is BetterGo BenchmarksPerformance Per Thread - Test: jsonDN2820FYKKarbon 300NUC5i3RYBFitlet260M120M180M240M300M2704908902138979102009996681756653201. DN2820FYK: Detected thread count of 22. Karbon 300: Detected thread count of 23. NUC5i3RYB: Detected thread count of 44. Fitlet2: Detected thread count of 4
OpenBenchmarking.orgNanoseconds/Operation x GHz, Fewer Is BetterGo BenchmarksPerformance Per Clock - Test: jsonDN2820FYKKarbon 300Fitlet2NUC5i3RYB70M140M210M280M350M3245890681925081191010075591004998341. DN2820FYK: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.402. Karbon 300: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.803. Fitlet2: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.304. NUC5i3RYB: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00
OpenBenchmarking.orgNanoseconds/Operation, Fewer Is BetterGo BenchmarksTest: jsonDN2820FYKKarbon 300NUC5i3RYBFitlet220M40M60M80M100MMin: 134946884 / Avg: 135245444.67 / Max: 135699955Min: 106440035 / Avg: 106948954.67 / Max: 107354722Min: 50131764 / Avg: 50249917 / Max: 50448293Min: 43725637 / Avg: 43916330.33 / Max: 44156583

OpenBenchmarking.orgNanoseconds/Operation, Fewer Is BetterGo BenchmarksTest: garbageDN2820FYKKarbon 300NUC5i3RYBFitlet26M12M18M24M30MSE +/- 115016.54, N = 3SE +/- 68128.55, N = 3SE +/- 25278.60, N = 3SE +/- 21393.20, N = 32602851923206617103401289845733
OpenBenchmarking.orgNanoseconds/Operation x Core, Fewer Is BetterGo BenchmarksPerformance Per Core - Test: garbageDN2820FYKKarbon 300Fitlet2NUC5i3RYB11M22M33M44M55M520570384641323439382932206802561. DN2820FYK: Detected core count of 22. Karbon 300: Detected core count of 23. Fitlet2: Detected core count of 44. NUC5i3RYB: Detected core count of 2
OpenBenchmarking.orgNanoseconds/Operation x Thread, Fewer Is BetterGo BenchmarksPerformance Per Thread - Test: garbageDN2820FYKKarbon 300NUC5i3RYBFitlet211M22M33M44M55M520570384641323441360512393829321. DN2820FYK: Detected thread count of 22. Karbon 300: Detected thread count of 23. NUC5i3RYB: Detected thread count of 44. Fitlet2: Detected thread count of 4
OpenBenchmarking.orgNanoseconds/Operation x GHz, Fewer Is BetterGo BenchmarksPerformance Per Clock - Test: garbageDN2820FYKKarbon 300Fitlet2NUC5i3RYB13M26M39M52M65M62468445.641771910.622645185.920680256.01. DN2820FYK: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.402. Karbon 300: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.803. Fitlet2: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.304. NUC5i3RYB: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00
OpenBenchmarking.orgNanoseconds/Operation, Fewer Is BetterGo BenchmarksTest: garbageDN2820FYKKarbon 300NUC5i3RYBFitlet25M10M15M20M25MMin: 25843918 / Avg: 26028519.33 / Max: 26239682Min: 23132546 / Avg: 23206617 / Max: 23342696Min: 10298693 / Avg: 10340128.33 / Max: 10385933Min: 9810416 / Avg: 9845733.33 / Max: 9884309

SQLite

This is a simple benchmark of SQLite. At present this test profile just measures the time to perform a pre-defined number of insertions on an indexed database. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.22Timed SQLite InsertionsFitlet2NUC5i3RYBDN2820FYKKarbon 3001530456075SE +/- 0.36, N = 3SE +/- 0.05, N = 3SE +/- 0.43, N = 15SE +/- 0.49, N = 1566.9064.1721.8014.501. (CC) gcc options: -O2 -ldl -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.22Timed SQLite InsertionsFitlet2NUC5i3RYBDN2820FYKKarbon 3001326395265Min: 66.38 / Avg: 66.9 / Max: 67.6Min: 64.06 / Avg: 64.17 / Max: 64.24Min: 18.33 / Avg: 21.8 / Max: 23.96Min: 12.7 / Avg: 14.5 / Max: 18.121. (CC) gcc options: -O2 -ldl -lpthread

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.8.22Test: resizeDN2820FYKKarbon 300Fitlet2NUC5i3RYB714212835SE +/- 0.12, N = 3SE +/- 0.20, N = 3SE +/- 0.15, N = 3SE +/- 0.13, N = 331.1426.4019.7617.30
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGIMP 2.8.22Performance Per Core - Test: resizeFitlet2DN2820FYKKarbon 300NUC5i3RYB2040608010079.0462.2852.8034.601. Fitlet2: Detected core count of 42. DN2820FYK: Detected core count of 23. Karbon 300: Detected core count of 24. NUC5i3RYB: Detected core count of 2
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterGIMP 2.8.22Performance Per Thread - Test: resizeFitlet2NUC5i3RYBDN2820FYKKarbon 3002040608010079.0469.2062.2852.801. Fitlet2: Detected thread count of 42. NUC5i3RYB: Detected thread count of 43. DN2820FYK: Detected thread count of 24. Karbon 300: Detected thread count of 2
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGIMP 2.8.22Performance Per Clock - Test: resizeDN2820FYKKarbon 300Fitlet2NUC5i3RYB2040608010074.7447.5245.4534.601. DN2820FYK: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.402. Karbon 300: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.803. Fitlet2: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.304. NUC5i3RYB: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.8.22Test: resizeDN2820FYKKarbon 300Fitlet2NUC5i3RYB714212835Min: 31.02 / Avg: 31.14 / Max: 31.38Min: 26.09 / Avg: 26.4 / Max: 26.76Min: 19.57 / Avg: 19.76 / Max: 20.07Min: 17.16 / Avg: 17.3 / Max: 17.55

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.8.22Test: rotateDN2820FYKKarbon 300Fitlet2NUC5i3RYB1530456075SE +/- 0.08, N = 3SE +/- 0.24, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 366.4759.5244.2940.16
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGIMP 2.8.22Performance Per Core - Test: rotateFitlet2DN2820FYKKarbon 300NUC5i3RYB4080120160200177.16132.94119.0480.321. Fitlet2: Detected core count of 42. DN2820FYK: Detected core count of 23. Karbon 300: Detected core count of 24. NUC5i3RYB: Detected core count of 2
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterGIMP 2.8.22Performance Per Thread - Test: rotateFitlet2NUC5i3RYBDN2820FYKKarbon 3004080120160200177.16160.64132.94119.041. Fitlet2: Detected thread count of 42. NUC5i3RYB: Detected thread count of 43. DN2820FYK: Detected thread count of 24. Karbon 300: Detected thread count of 2
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGIMP 2.8.22Performance Per Clock - Test: rotateDN2820FYKKarbon 300Fitlet2NUC5i3RYB4080120160200159.53107.14101.8780.321. DN2820FYK: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.402. Karbon 300: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.803. Fitlet2: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.304. NUC5i3RYB: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.8.22Test: rotateDN2820FYKKarbon 300Fitlet2NUC5i3RYB1326395265Min: 66.33 / Avg: 66.47 / Max: 66.61Min: 59.1 / Avg: 59.52 / Max: 59.94Min: 44.24 / Avg: 44.29 / Max: 44.33Min: 40.08 / Avg: 40.16 / Max: 40.23

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.8.22Test: auto-levelsDN2820FYKKarbon 300Fitlet2NUC5i3RYB1428425670SE +/- 0.02, N = 3SE +/- 0.27, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 362.3360.0043.3036.65
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGIMP 2.8.22Performance Per Core - Test: auto-levelsFitlet2DN2820FYKKarbon 300NUC5i3RYB4080120160200173.20124.66120.0073.301. Fitlet2: Detected core count of 42. DN2820FYK: Detected core count of 23. Karbon 300: Detected core count of 24. NUC5i3RYB: Detected core count of 2
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterGIMP 2.8.22Performance Per Thread - Test: auto-levelsFitlet2NUC5i3RYBDN2820FYKKarbon 3004080120160200173.20146.60124.66120.001. Fitlet2: Detected thread count of 42. NUC5i3RYB: Detected thread count of 43. DN2820FYK: Detected thread count of 24. Karbon 300: Detected thread count of 2
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGIMP 2.8.22Performance Per Clock - Test: auto-levelsDN2820FYKKarbon 300Fitlet2NUC5i3RYB306090120150149.59108.0099.5973.301. DN2820FYK: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.402. Karbon 300: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.803. Fitlet2: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.304. NUC5i3RYB: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.8.22Test: auto-levelsDN2820FYKKarbon 300Fitlet2NUC5i3RYB1224364860Min: 62.3 / Avg: 62.33 / Max: 62.35Min: 59.56 / Avg: 60 / Max: 60.5Min: 43.24 / Avg: 43.3 / Max: 43.38Min: 36.56 / Avg: 36.65 / Max: 36.74

Perl Benchmarks

Perl benchmark suite that can be used to compare the relative speed of different versions of perl. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlDN2820FYKKarbon 300Fitlet2NUC5i3RYB0.14560.29120.43680.58240.728SE +/- 0.00036084, N = 3SE +/- 0.00100328, N = 3SE +/- 0.00178789, N = 3SE +/- 0.00108840, N = 30.647157970.565154770.445483710.24953099
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterPerl BenchmarksPerformance Per Core - Test: Pod2htmlFitlet2DN2820FYKKarbon 300NUC5i3RYB0.4010.8021.2031.6042.0051.7821.2941.1300.4991. Fitlet2: Detected core count of 42. DN2820FYK: Detected core count of 23. Karbon 300: Detected core count of 24. NUC5i3RYB: Detected core count of 2
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterPerl BenchmarksPerformance Per Thread - Test: Pod2htmlFitlet2DN2820FYKKarbon 300NUC5i3RYB0.4010.8021.2031.6042.0051.7821.2941.1300.9981. Fitlet2: Detected thread count of 42. DN2820FYK: Detected thread count of 23. Karbon 300: Detected thread count of 24. NUC5i3RYB: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterPerl BenchmarksPerformance Per Clock - Test: Pod2htmlDN2820FYKFitlet2Karbon 300NUC5i3RYB0.34940.69881.04821.39761.7471.5531.0251.0170.4991. DN2820FYK: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.402. Fitlet2: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.303. Karbon 300: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.804. NUC5i3RYB: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00
OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlDN2820FYKKarbon 300Fitlet2NUC5i3RYB246810Min: 0.65 / Avg: 0.65 / Max: 0.65Min: 0.56 / Avg: 0.57 / Max: 0.57Min: 0.44 / Avg: 0.45 / Max: 0.45Min: 0.25 / Avg: 0.25 / Max: 0.25

SQLite

MinAvgMaxNUC5i3RYB2.122.22.35Karbon 3001.641.91.98Fitlet211.21.26DN2820FYK0.420.70.83OpenBenchmarking.orgWatts, Fewer Is BetterSQLite 3.22CPU Power Consumption Monitor1.16092.32183.48274.64365.8045

MinAvgMaxKarbon 3008.19.59.9NUC5i3RYB7.18.28.4DN2820FYK7.18.18.3Fitlet24.55.86.1OpenBenchmarking.orgWatts, Fewer Is BetterSQLite 3.22System Power Consumption Monitor4.428.8413.2617.6822.1

FS-Mark

MinAvgMaxNUC5i3RYB2.032.52.99Karbon 3001.731.81.88Fitlet21.011.31.54DN2820FYK0.310.60.85OpenBenchmarking.orgWatts, Fewer Is BetterFS-Mark 3.3CPU Power Consumption Monitor1.673.345.016.688.35

MinAvgMaxKarbon 3008.29.09.4NUC5i3RYB7.68.89.6DN2820FYK7.38.08.2Fitlet24.85.86.2OpenBenchmarking.orgWatts, Fewer Is BetterFS-Mark 3.3System Power Consumption Monitor4.428.8413.2617.6822.1

Stress-NG

MinAvgMaxNUC5i3RYB25.76.43Fitlet20.964.24.7Karbon 3001.642.22.3DN2820FYK0.331.01.16OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.07.26CPU Power Consumption Monitor3691215

MinAvgMaxNUC5i3RYB7.211.212.1Karbon 3008.39.49.7Fitlet24.49.410.3DN2820FYK7.28.28.4OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.07.26System Power Consumption Monitor48121620

DaCapo Benchmark

MinAvgMaxNUC5i3RYB2.036.18.15Fitlet20.823.74.92Karbon 3001.752.22.42DN2820FYK0.311.21.49OpenBenchmarking.orgWatts, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Power Consumption Monitor3691215

MinAvgMaxNUC5i3RYB7.211.815.9Karbon 3008.49.710.0DN2820FYK7.09.39.7Fitlet24.49.012.0OpenBenchmarking.orgWatts, Fewer Is BetterDaCapo Benchmark 9.12-MR1System Power Consumption Monitor510152025

PyBench

MinAvgMaxNUC5i3RYB24.85.18Fitlet20.963.13.29Karbon 3001.681.81.96DN2820FYK0.351.41.52OpenBenchmarking.orgWatts, Fewer Is BetterPyBench 2018-02-16CPU Power Consumption Monitor1.793.585.377.168.95

MinAvgMaxNUC5i3RYB7.210.410.8Karbon 3008.19.09.1DN2820FYK7.48.28.3Fitlet24.77.07.4OpenBenchmarking.orgWatts, Fewer Is BetterPyBench 2018-02-16System Power Consumption Monitor48121620

PHPBench

MinAvgMaxNUC5i3RYB2.024.75.18Fitlet20.982.93.35Karbon 3001.711.91.97DN2820FYK0.621.31.48OpenBenchmarking.orgWatts, Fewer Is BetterPHPBench 0.8.1CPU Power Consumption Monitor1.793.585.377.168.95

MinAvgMaxNUC5i3RYB7.810.010.8Karbon 3008.38.99.1DN2820FYK7.28.18.3Fitlet24.96.97.3OpenBenchmarking.orgWatts, Fewer Is BetterPHPBench 0.8.1System Power Consumption Monitor48121620

Perl Benchmarks

MinAvgMaxNUC5i3RYB2.055.15.33Fitlet20.982.93.11Karbon 3001.711.81.98DN2820FYK0.341.11.15OpenBenchmarking.orgWatts, Fewer Is BetterPerl BenchmarksCPU Power Consumption Monitor1.833.665.497.329.15

MinAvgMaxNUC5i3RYB7.610.711.0Karbon 3008.39.09.1DN2820FYK7.28.28.3Fitlet25.07.17.3OpenBenchmarking.orgWatts, Fewer Is BetterPerl BenchmarksSystem Power Consumption Monitor48121620

Go Benchmarks

MinAvgMaxNUC5i3RYB2.565.18.32Fitlet20.984.76.64Karbon 3001.732.02.24DN2820FYK0.341.01.35OpenBenchmarking.orgWatts, Fewer Is BetterGo BenchmarksCPU Power Consumption Monitor3691215

MinAvgMaxNUC5i3RYB7.110.914.9Karbon 3008.38.99.1Fitlet24.48.711.9DN2820FYK7.48.08.6OpenBenchmarking.orgWatts, Fewer Is BetterGo BenchmarksSystem Power Consumption Monitor510152025

MinAvgMaxNUC5i3RYB2.036.18.6Fitlet20.974.06.13Karbon 3001.732.12.28DN2820FYK0.31.21.58OpenBenchmarking.orgWatts, Fewer Is BetterGo BenchmarksCPU Power Consumption Monitor3691215

MinAvgMaxNUC5i3RYB7.212.215.1Karbon 3008.39.29.7Fitlet24.68.511.9DN2820FYK7.28.59.0OpenBenchmarking.orgWatts, Fewer Is BetterGo BenchmarksSystem Power Consumption Monitor510152025

GIMP

MinAvgMaxNUC5i3RYB2.014.24.77Fitlet21.82.32.63DN2820FYK0.591.01.13OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.8.22CPU Power Consumption Monitor1.673.345.016.688.35

MinAvgMaxNUC5i3RYB7.29.610.4DN2820FYK7.18.48.7Fitlet25.06.87.3OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.8.22System Power Consumption Monitor48121620

MinAvgMaxNUC5i3RYB2.684.64.89Fitlet21.532.52.79DN2820FYK0.511.11.24OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.8.22CPU Power Consumption Monitor1.713.425.136.848.55

MinAvgMaxNUC5i3RYB7.710.110.6DN2820FYK7.38.58.8Fitlet25.07.17.6OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.8.22System Power Consumption Monitor48121620

MinAvgMaxNUC5i3RYB2.014.65.09Fitlet21.222.63.05DN2820FYK0.611.21.35OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.8.22CPU Power Consumption Monitor1.763.525.287.048.8

MinAvgMaxNUC5i3RYB7.810.110.9DN2820FYK7.38.58.7Fitlet24.77.17.7OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.8.22System Power Consumption Monitor48121620

ctx_clock

MinAvgMaxNUC5i3RYB2.033.14.07DN2820FYK0.360.60.83OpenBenchmarking.orgWatts, Fewer Is Betterctx_clockCPU Power Consumption Monitor1.14472.28943.43414.57885.7235

MinAvgMaxNUC5i3RYB7.17.98.4DN2820FYK7.37.47.5OpenBenchmarking.orgWatts, Fewer Is Betterctx_clockSystem Power Consumption Monitor3691215