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 Benchmarksctx-clock: Context Switch Timedacapobench: Jythonfs-mark: 1000 Files, 1MB Sizegimp: resizegimp: rotategimp: auto-levelsgo-benchmark: jsongo-benchmark: garbageperl-benchmark: Pod2htmlphpbench: PHP Benchmark Suitepybench: Total For Average Test Timessqlite: Timed SQLite Insertionsstress-ng: SemaphoresDN2820FYKNUC5i3RYBFitlet2Karbon 30085930697119.7731.1466.4762.33135245445260285190.64715797140909504721.80314089813411297087.0017.3040.1636.6550249917103401280.24953099300338231464.1723275201911732995.4319.7644.2943.304391633098457330.44548371207587386466.90379518521125415230.9326.4059.5260.00106948955232066170.56515477162415494414.503463337OpenBenchmarking.org

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringDN2820FYKFitlet2Karbon 300NUC5i3RYB48121620Min: 0.26 / Avg: 1.08 / Max: 4.39Min: 0.8 / Avg: 3.75 / Max: 8.21Min: 1.44 / Avg: 2.16 / Max: 2.9Min: 1.67 / Avg: 5.72 / Max: 14.98

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringDN2820FYKFitlet2Karbon 300NUC5i3RYB1326395265Min: 39 / Avg: 43.85 / Max: 47Min: 40 / Avg: 51.97 / Max: 64Min: 31 / Avg: 35.49 / Max: 38Min: 35 / Avg: 45.96 / Max: 62

ctx_clock

Ctx_clock is a simple test program to measure the context switch time in clock cycles. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeDN2820FYKFitlet2Karbon 300NUC5i3RYB30060090012001500SE +/- 5.33, N = 3SE +/- 0.67, N = 3SE +/- 1.53, N = 38591912111341
OpenBenchmarking.orgClocks x Core, Fewer Is Betterctx_clockPerformance Per Core - Context Switch TimeDN2820FYKFitlet2Karbon 300NUC5i3RYB6001200180024003000171876442226821. DN2820FYK: Detected core count of 22. Fitlet2: Detected core count of 43. Karbon 300: Detected core count of 24. NUC5i3RYB: Detected core count of 2
OpenBenchmarking.orgClocks x Thread, Fewer Is Betterctx_clockPerformance Per Thread - Context Switch TimeDN2820FYKFitlet2Karbon 300NUC5i3RYB11002200330044005500171876442253641. DN2820FYK: Detected thread count of 22. Fitlet2: Detected thread count of 43. Karbon 300: Detected thread count of 24. NUC5i3RYB: Detected thread count of 4
OpenBenchmarking.orgClocks x GHz, Fewer Is Betterctx_clockPerformance Per Clock - Context Switch TimeDN2820FYKFitlet2Karbon 300NUC5i3RYB60012001800240030002061.6439.3379.82682.01. 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.orgClocks, Fewer Is Betterctx_clockContext Switch TimeDN2820FYKFitlet2Karbon 300NUC5i3RYB2004006008001000Min: 848 / Avg: 858.67 / Max: 864Min: 190 / Avg: 190.67 / Max: 192Min: 1339 / Avg: 1341 / Max: 1344

MinAvgMaxDN2820FYK0.360.60.83NUC5i3RYB2.033.14.07OpenBenchmarking.orgWatts, Fewer Is Betterctx_clockCPU Power Consumption Monitor1.14472.28943.43414.57885.7235

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

MinAvgMaxDN2820FYK7.37.47.5NUC5i3RYB7.17.98.4OpenBenchmarking.orgWatts, Fewer Is Betterctx_clockSystem Power Consumption Monitor3691215

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: JythonDN2820FYKFitlet2Karbon 300NUC5i3RYB7K14K21K28K35KSE +/- 358.09, N = 20SE +/- 143.26, N = 13SE +/- 90.21, N = 4SE +/- 189.19, N = 430697173292541512970
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonDN2820FYKFitlet2Karbon 300NUC5i3RYB5K10K15K20K25KMin: 28127 / Avg: 30697.2 / Max: 33732Min: 16481 / Avg: 17329.38 / Max: 18167Min: 25147 / Avg: 25414.5 / Max: 25541Min: 12527 / Avg: 12970.25 / Max: 13420

MinAvgMaxDN2820FYK0.311.21.49Fitlet20.823.74.92Karbon 3001.752.22.42NUC5i3RYB2.036.18.15OpenBenchmarking.orgWatts, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Power Consumption Monitor3691215

MinAvgMaxDN2820FYK42.0045.646.00Fitlet249.0054.658.00Karbon 30032.0035.237.00NUC5i3RYB44.0051.154.00OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Temperature Monitor1632486480

MinAvgMaxDN2820FYK7.09.39.7Fitlet24.49.012.0Karbon 3008.49.710.0NUC5i3RYB7.211.815.9OpenBenchmarking.orgWatts, Fewer Is BetterDaCapo Benchmark 9.12-MR1System Power Consumption Monitor510152025

FS-Mark

FS_Mark is designed to test a system's file-system performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFiles/s, More Is BetterFS-Mark 3.3Test: 1000 Files, 1MB SizeDN2820FYKFitlet2Karbon 300NUC5i3RYB50100150200250SE +/- 0.56, N = 3SE +/- 0.23, N = 3SE +/- 3.89, N = 3SE +/- 1.09, N = 5119.7795.43230.9387.001. (CC) gcc options: -static
OpenBenchmarking.orgFiles/s, More Is BetterFS-Mark 3.3Test: 1000 Files, 1MB SizeDN2820FYKFitlet2Karbon 300NUC5i3RYB4080120160200Min: 118.7 / Avg: 119.77 / Max: 120.6Min: 95.2 / Avg: 95.43 / Max: 95.9Min: 226.7 / Avg: 230.93 / Max: 238.7Min: 84.7 / Avg: 87 / Max: 90.71. (CC) gcc options: -static

OpenBenchmarking.orgFiles/s Per Watt, More Is BetterFS-Mark 3.3Test: 1000 Files, 1MB SizeDN2820FYKFitlet2Karbon 300NUC5i3RYB61218243015.0316.4925.809.92

MinAvgMaxDN2820FYK0.310.60.85Fitlet21.011.31.54Karbon 3001.731.81.88NUC5i3RYB2.032.52.99OpenBenchmarking.orgWatts, Fewer Is BetterFS-Mark 3.3CPU Power Consumption Monitor1.673.345.016.688.35

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

MinAvgMaxDN2820FYK7.38.08.2Fitlet24.85.86.2Karbon 3008.29.09.4NUC5i3RYB7.68.89.6OpenBenchmarking.orgWatts, Fewer Is BetterFS-Mark 3.3System Power Consumption Monitor4.428.8413.2617.6822.1

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: resizeDN2820FYKFitlet2Karbon 300NUC5i3RYB714212835SE +/- 0.12, N = 3SE +/- 0.15, N = 3SE +/- 0.20, N = 3SE +/- 0.13, N = 331.1419.7626.4017.30
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGIMP 2.8.22Performance Per Core - Test: resizeDN2820FYKFitlet2Karbon 300NUC5i3RYB2040608010062.2879.0452.8034.601. DN2820FYK: Detected core count of 22. Fitlet2: Detected core count of 43. 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: resizeDN2820FYKFitlet2Karbon 300NUC5i3RYB2040608010062.2879.0452.8069.201. DN2820FYK: Detected thread count of 22. Fitlet2: Detected thread count of 43. Karbon 300: Detected thread count of 24. NUC5i3RYB: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGIMP 2.8.22Performance Per Clock - Test: resizeDN2820FYKFitlet2Karbon 300NUC5i3RYB2040608010074.7445.4547.5234.601. 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 BetterGIMP 2.8.22Test: resizeDN2820FYKFitlet2Karbon 300NUC5i3RYB714212835Min: 31.02 / Avg: 31.14 / Max: 31.38Min: 19.57 / Avg: 19.76 / Max: 20.07Min: 26.09 / Avg: 26.4 / Max: 26.76Min: 17.16 / Avg: 17.3 / Max: 17.55

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.8.22Test: rotateDN2820FYKFitlet2Karbon 300NUC5i3RYB1530456075SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.24, N = 3SE +/- 0.04, N = 366.4744.2959.5240.16
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGIMP 2.8.22Performance Per Core - Test: rotateDN2820FYKFitlet2Karbon 300NUC5i3RYB4080120160200132.94177.16119.0480.321. DN2820FYK: Detected core count of 22. Fitlet2: Detected core count of 43. 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: rotateDN2820FYKFitlet2Karbon 300NUC5i3RYB4080120160200132.94177.16119.04160.641. DN2820FYK: Detected thread count of 22. Fitlet2: Detected thread count of 43. Karbon 300: Detected thread count of 24. NUC5i3RYB: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGIMP 2.8.22Performance Per Clock - Test: rotateDN2820FYKFitlet2Karbon 300NUC5i3RYB4080120160200159.53101.87107.1480.321. 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 BetterGIMP 2.8.22Test: rotateDN2820FYKFitlet2Karbon 300NUC5i3RYB1326395265Min: 66.33 / Avg: 66.47 / Max: 66.61Min: 44.24 / Avg: 44.29 / Max: 44.33Min: 59.1 / Avg: 59.52 / Max: 59.94Min: 40.08 / Avg: 40.16 / Max: 40.23

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.8.22Test: auto-levelsDN2820FYKFitlet2Karbon 300NUC5i3RYB1428425670SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.27, N = 3SE +/- 0.05, N = 362.3343.3060.0036.65
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGIMP 2.8.22Performance Per Core - Test: auto-levelsDN2820FYKFitlet2Karbon 300NUC5i3RYB4080120160200124.66173.20120.0073.301. DN2820FYK: Detected core count of 22. Fitlet2: Detected core count of 43. 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-levelsDN2820FYKFitlet2Karbon 300NUC5i3RYB4080120160200124.66173.20120.00146.601. DN2820FYK: Detected thread count of 22. Fitlet2: Detected thread count of 43. Karbon 300: Detected thread count of 24. NUC5i3RYB: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGIMP 2.8.22Performance Per Clock - Test: auto-levelsDN2820FYKFitlet2Karbon 300NUC5i3RYB306090120150149.5999.59108.0073.301. 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 BetterGIMP 2.8.22Test: auto-levelsDN2820FYKFitlet2Karbon 300NUC5i3RYB1224364860Min: 62.3 / Avg: 62.33 / Max: 62.35Min: 43.24 / Avg: 43.3 / Max: 43.38Min: 59.56 / Avg: 60 / Max: 60.5Min: 36.56 / Avg: 36.65 / Max: 36.74

MinAvgMaxDN2820FYK0.591.01.13Fitlet21.82.32.63NUC5i3RYB2.014.24.77OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.8.22CPU Power Consumption Monitor1.673.345.016.688.35

MinAvgMaxDN2820FYK43.0044.044.00Fitlet250.0052.655.00NUC5i3RYB42.0045.249.00OpenBenchmarking.orgCelsius, Fewer Is BetterGIMP 2.8.22CPU Temperature Monitor1530456075

MinAvgMaxDN2820FYK7.18.48.7Fitlet25.06.87.3NUC5i3RYB7.29.610.4OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.8.22System Power Consumption Monitor48121620

MinAvgMaxDN2820FYK0.511.11.24Fitlet21.532.52.79NUC5i3RYB2.684.64.89OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.8.22CPU Power Consumption Monitor1.713.425.136.848.55

MinAvgMaxDN2820FYK43.0043.644.00Fitlet248.0051.053.00NUC5i3RYB41.0044.348.00OpenBenchmarking.orgCelsius, Fewer Is BetterGIMP 2.8.22CPU Temperature Monitor1530456075

MinAvgMaxDN2820FYK7.38.58.8Fitlet25.07.17.6NUC5i3RYB7.710.110.6OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.8.22System Power Consumption Monitor48121620

MinAvgMaxDN2820FYK0.611.21.35Fitlet21.222.63.05NUC5i3RYB2.014.65.09OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.8.22CPU Power Consumption Monitor1.763.525.287.048.8

MinAvgMaxDN2820FYK42.0043.644.00Fitlet247.0049.853.00NUC5i3RYB40.0044.549.00OpenBenchmarking.orgCelsius, Fewer Is BetterGIMP 2.8.22CPU Temperature Monitor1530456075

MinAvgMaxDN2820FYK7.38.58.7Fitlet24.77.17.7NUC5i3RYB7.810.110.9OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.8.22System Power Consumption Monitor48121620

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: jsonDN2820FYKFitlet2Karbon 300NUC5i3RYB30M60M90M120M150MSE +/- 230953.97, N = 3SE +/- 126847.30, N = 3SE +/- 269037.41, N = 3SE +/- 99790.53, N = 31352454454391633010694895550249917
OpenBenchmarking.orgNanoseconds/Operation x Core, Fewer Is BetterGo BenchmarksPerformance Per Core - Test: jsonDN2820FYKFitlet2Karbon 300NUC5i3RYB60M120M180M240M300M2704908901756653202138979101004998341. DN2820FYK: Detected core count of 22. Fitlet2: Detected core count of 43. Karbon 300: Detected core count of 24. NUC5i3RYB: Detected core count of 2
OpenBenchmarking.orgNanoseconds/Operation x Thread, Fewer Is BetterGo BenchmarksPerformance Per Thread - Test: jsonDN2820FYKFitlet2Karbon 300NUC5i3RYB60M120M180M240M300M2704908901756653202138979102009996681. DN2820FYK: Detected thread count of 22. Fitlet2: Detected thread count of 43. Karbon 300: Detected thread count of 24. NUC5i3RYB: Detected thread count of 4
OpenBenchmarking.orgNanoseconds/Operation x GHz, Fewer Is BetterGo BenchmarksPerformance Per Clock - Test: jsonDN2820FYKFitlet2Karbon 300NUC5i3RYB70M140M210M280M350M3245890681010075591925081191004998341. 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.orgNanoseconds/Operation, Fewer Is BetterGo BenchmarksTest: jsonDN2820FYKFitlet2Karbon 300NUC5i3RYB20M40M60M80M100MMin: 134946884 / Avg: 135245444.67 / Max: 135699955Min: 43725637 / Avg: 43916330.33 / Max: 44156583Min: 106440035 / Avg: 106948954.67 / Max: 107354722Min: 50131764 / Avg: 50249917 / Max: 50448293

MinAvgMaxDN2820FYK0.341.01.35Fitlet20.984.76.64Karbon 3001.732.02.24NUC5i3RYB2.565.18.32OpenBenchmarking.orgWatts, Fewer Is BetterGo BenchmarksCPU Power Consumption Monitor3691215

MinAvgMaxDN2820FYK41.0042.544.00Fitlet244.0049.854.00Karbon 30033.0034.736.00NUC5i3RYB41.0046.050.00OpenBenchmarking.orgCelsius, Fewer Is BetterGo BenchmarksCPU Temperature Monitor1530456075

MinAvgMaxDN2820FYK7.48.08.6Fitlet24.48.711.9Karbon 3008.38.99.1NUC5i3RYB7.110.914.9OpenBenchmarking.orgWatts, Fewer Is BetterGo BenchmarksSystem Power Consumption Monitor510152025

OpenBenchmarking.orgNanoseconds/Operation, Fewer Is BetterGo BenchmarksTest: garbageDN2820FYKFitlet2Karbon 300NUC5i3RYB6M12M18M24M30MSE +/- 115016.54, N = 3SE +/- 21393.20, N = 3SE +/- 68128.55, N = 3SE +/- 25278.60, N = 32602851998457332320661710340128
OpenBenchmarking.orgNanoseconds/Operation x Core, Fewer Is BetterGo BenchmarksPerformance Per Core - Test: garbageDN2820FYKFitlet2Karbon 300NUC5i3RYB11M22M33M44M55M520570383938293246413234206802561. DN2820FYK: Detected core count of 22. Fitlet2: Detected core count of 43. Karbon 300: Detected core count of 24. NUC5i3RYB: Detected core count of 2
OpenBenchmarking.orgNanoseconds/Operation x Thread, Fewer Is BetterGo BenchmarksPerformance Per Thread - Test: garbageDN2820FYKFitlet2Karbon 300NUC5i3RYB11M22M33M44M55M520570383938293246413234413605121. DN2820FYK: Detected thread count of 22. Fitlet2: Detected thread count of 43. Karbon 300: Detected thread count of 24. NUC5i3RYB: Detected thread count of 4
OpenBenchmarking.orgNanoseconds/Operation x GHz, Fewer Is BetterGo BenchmarksPerformance Per Clock - Test: garbageDN2820FYKFitlet2Karbon 300NUC5i3RYB13M26M39M52M65M62468445.622645185.941771910.620680256.01. 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.orgNanoseconds/Operation, Fewer Is BetterGo BenchmarksTest: garbageDN2820FYKFitlet2Karbon 300NUC5i3RYB5M10M15M20M25MMin: 25843918 / Avg: 26028519.33 / Max: 26239682Min: 9810416 / Avg: 9845733.33 / Max: 9884309Min: 23132546 / Avg: 23206617 / Max: 23342696Min: 10298693 / Avg: 10340128.33 / Max: 10385933

MinAvgMaxDN2820FYK0.31.21.58Fitlet20.974.06.13Karbon 3001.732.12.28NUC5i3RYB2.036.18.6OpenBenchmarking.orgWatts, Fewer Is BetterGo BenchmarksCPU Power Consumption Monitor3691215

MinAvgMaxDN2820FYK41.0043.044.00Fitlet244.0049.853.00Karbon 30033.0035.036.00NUC5i3RYB39.0047.051.00OpenBenchmarking.orgCelsius, Fewer Is BetterGo BenchmarksCPU Temperature Monitor1530456075

MinAvgMaxDN2820FYK7.28.59.0Fitlet24.68.511.9Karbon 3008.39.29.7NUC5i3RYB7.212.215.1OpenBenchmarking.orgWatts, Fewer Is BetterGo BenchmarksSystem Power Consumption Monitor510152025

Meta Performance Per Watt

OpenBenchmarking.orgPerformance Per Watt, More Is BetterMeta Performance Per WattPerformance Per WattDN2820FYKFitlet2NUC5i3RYB100020003000400050003628.563399.224452.15

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: Pod2htmlDN2820FYKFitlet2Karbon 300NUC5i3RYB0.14560.29120.43680.58240.728SE +/- 0.00036084, N = 3SE +/- 0.00178789, N = 3SE +/- 0.00100328, N = 3SE +/- 0.00108840, N = 30.647157970.445483710.565154770.24953099
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterPerl BenchmarksPerformance Per Core - Test: Pod2htmlDN2820FYKFitlet2Karbon 300NUC5i3RYB0.4010.8021.2031.6042.0051.2941.7821.1300.4991. DN2820FYK: Detected core count of 22. Fitlet2: Detected core count of 43. Karbon 300: Detected core count of 24. NUC5i3RYB: Detected core count of 2
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterPerl BenchmarksPerformance Per Thread - Test: Pod2htmlDN2820FYKFitlet2Karbon 300NUC5i3RYB0.4010.8021.2031.6042.0051.2941.7821.1300.9981. DN2820FYK: Detected thread count of 22. Fitlet2: Detected thread count of 43. 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: Pod2htmlDN2820FYKFitlet2Karbon 300NUC5i3RYB246810Min: 0.65 / Avg: 0.65 / Max: 0.65Min: 0.44 / Avg: 0.45 / Max: 0.45Min: 0.56 / Avg: 0.57 / Max: 0.57Min: 0.25 / Avg: 0.25 / Max: 0.25

MinAvgMaxDN2820FYK0.341.11.15Fitlet20.982.93.11Karbon 3001.711.81.98NUC5i3RYB2.055.15.33OpenBenchmarking.orgWatts, Fewer Is BetterPerl BenchmarksCPU Power Consumption Monitor1.833.665.497.329.15

MinAvgMaxDN2820FYK41.0042.643.00Fitlet244.0046.549.00Karbon 30033.0035.037.00NUC5i3RYB40.0043.248.00OpenBenchmarking.orgCelsius, Fewer Is BetterPerl BenchmarksCPU Temperature Monitor1428425670

MinAvgMaxDN2820FYK7.28.28.3Fitlet25.07.17.3Karbon 3008.39.09.1NUC5i3RYB7.610.711.0OpenBenchmarking.orgWatts, Fewer Is BetterPerl BenchmarksSystem Power Consumption Monitor48121620

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 SuiteDN2820FYKFitlet2Karbon 300NUC5i3RYB60K120K180K240K300KSE +/- 62.04, N = 3SE +/- 243.98, N = 3SE +/- 279.43, N = 3SE +/- 330.78, N = 3140909207587162415300338
OpenBenchmarking.orgScore Per Core, More Is BetterPHPBench 0.8.1Performance Per Core - PHP Benchmark SuiteDN2820FYKFitlet2Karbon 300NUC5i3RYB30K60K90K120K150K70454.5051896.7581207.50150169.001. DN2820FYK: Detected core count of 22. Fitlet2: Detected core count of 43. 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 SuiteDN2820FYKFitlet2Karbon 300NUC5i3RYB20K40K60K80K100K70454.5051896.7581207.5075084.501. DN2820FYK: Detected thread count of 22. Fitlet2: Detected thread count of 43. Karbon 300: Detected thread count of 24. NUC5i3RYB: Detected thread count of 4
OpenBenchmarking.orgScore Per GHz, More Is BetterPHPBench 0.8.1Performance Per Clock - PHP Benchmark SuiteDN2820FYKFitlet2Karbon 300NUC5i3RYB30K60K90K120K150K58712.0890255.2290230.56150169.001. 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.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteDN2820FYKFitlet2Karbon 300NUC5i3RYB50K100K150K200K250KMin: 140785 / Avg: 140909 / Max: 140975Min: 207125 / Avg: 207587 / Max: 207954Min: 161968 / Avg: 162415 / Max: 162929Min: 299709 / Avg: 300338 / Max: 300830

OpenBenchmarking.orgScore Per Watt, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteDN2820FYKFitlet2Karbon 300NUC5i3RYB6K12K18K24K30K17304300381816029917

MinAvgMaxDN2820FYK0.621.31.48Fitlet20.982.93.35Karbon 3001.711.91.97NUC5i3RYB2.024.75.18OpenBenchmarking.orgWatts, Fewer Is BetterPHPBench 0.8.1CPU Power Consumption Monitor1.793.585.377.168.95

MinAvgMaxDN2820FYK41.0042.444.00Fitlet244.0047.850.00Karbon 30034.0034.836.00NUC5i3RYB39.0040.942.00OpenBenchmarking.orgCelsius, Fewer Is BetterPHPBench 0.8.1CPU Temperature Monitor1428425670

MinAvgMaxDN2820FYK7.28.18.3Fitlet24.96.97.3Karbon 3008.38.99.1NUC5i3RYB7.810.010.8OpenBenchmarking.orgWatts, Fewer Is BetterPHPBench 0.8.1System Power Consumption Monitor48121620

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 TimesDN2820FYKFitlet2Karbon 300NUC5i3RYB11002200330044005500SE +/- 6.77, N = 3SE +/- 5.93, N = 3SE +/- 21.28, N = 3SE +/- 3.84, N = 35047386449442314
OpenBenchmarking.orgMilliseconds x Core, Fewer Is BetterPyBench 2018-02-16Performance Per Core - Total For Average Test TimesDN2820FYKFitlet2Karbon 300NUC5i3RYB3K6K9K12K15K1009415456988846281. DN2820FYK: Detected core count of 22. Fitlet2: Detected core count of 43. 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 TimesDN2820FYKFitlet2Karbon 300NUC5i3RYB3K6K9K12K15K1009415456988892561. DN2820FYK: Detected thread count of 22. Fitlet2: Detected thread count of 43. 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 TimesDN2820FYKFitlet2Karbon 300NUC5i3RYB3K6K9K12K15K12112.88887.28899.24628.01. 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.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesDN2820FYKFitlet2Karbon 300NUC5i3RYB9001800270036004500Min: 5038 / Avg: 5046.67 / Max: 5060Min: 3853 / Avg: 3864.33 / Max: 3873Min: 4902 / Avg: 4943.67 / Max: 4972Min: 2308 / Avg: 2313.67 / Max: 2321

MinAvgMaxDN2820FYK0.351.41.52Fitlet20.963.13.29Karbon 3001.681.81.96NUC5i3RYB24.85.18OpenBenchmarking.orgWatts, Fewer Is BetterPyBench 2018-02-16CPU Power Consumption Monitor1.793.585.377.168.95

MinAvgMaxDN2820FYK41.0042.844.00Fitlet245.0047.449.00Karbon 30033.0035.537.00NUC5i3RYB40.0041.842.00OpenBenchmarking.orgCelsius, Fewer Is BetterPyBench 2018-02-16CPU Temperature Monitor1428425670

MinAvgMaxDN2820FYK7.48.28.3Fitlet24.77.07.4Karbon 3008.19.09.1NUC5i3RYB7.210.410.8OpenBenchmarking.orgWatts, Fewer Is BetterPyBench 2018-02-16System Power Consumption Monitor48121620

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 InsertionsDN2820FYKFitlet2Karbon 300NUC5i3RYB1530456075SE +/- 0.43, N = 15SE +/- 0.36, N = 3SE +/- 0.49, N = 15SE +/- 0.05, N = 321.8066.9014.5064.171. (CC) gcc options: -O2 -ldl -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.22Timed SQLite InsertionsDN2820FYKFitlet2Karbon 300NUC5i3RYB1326395265Min: 18.33 / Avg: 21.8 / Max: 23.96Min: 66.38 / Avg: 66.9 / Max: 67.6Min: 12.7 / Avg: 14.5 / Max: 18.12Min: 64.06 / Avg: 64.17 / Max: 64.241. (CC) gcc options: -O2 -ldl -lpthread

MinAvgMaxDN2820FYK0.420.70.83Fitlet211.21.26Karbon 3001.641.91.98NUC5i3RYB2.122.22.35OpenBenchmarking.orgWatts, Fewer Is BetterSQLite 3.22CPU Power Consumption Monitor1.16092.32183.48274.64365.8045

MinAvgMaxDN2820FYK40.0041.042.00Fitlet240.0041.843.00Karbon 30032.0033.034.00NUC5i3RYB36.0036.036.00OpenBenchmarking.orgCelsius, Fewer Is BetterSQLite 3.22CPU Temperature Monitor1224364860

MinAvgMaxDN2820FYK7.18.18.3Fitlet24.55.86.1Karbon 3008.19.59.9NUC5i3RYB7.18.28.4OpenBenchmarking.orgWatts, Fewer Is BetterSQLite 3.22System Power Consumption Monitor4.428.8413.2617.6822.1

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: SemaphoresDN2820FYKFitlet2Karbon 300NUC5i3RYB800K1600K2400K3200K4000KSE +/- 187752.62, N = 12SE +/- 51796.96, N = 14SE +/- 63105.46, N = 15SE +/- 10190.43, N = 331408983795185346333723275201. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.07.26Test: SemaphoresDN2820FYKFitlet2Karbon 300NUC5i3RYB700K1400K2100K2800K3500KMin: 2095548.42 / Avg: 3140897.83 / Max: 4801848.35Min: 3293937.63 / Avg: 3795184.81 / Max: 4049077.56Min: 3002305.37 / Avg: 3463337.1 / Max: 4077706.73Min: 2309699.88 / Avg: 2327519.91 / Max: 2344995.541. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lpthread -lc

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.07.26Test: SemaphoresDN2820FYKFitlet2Karbon 300NUC5i3RYB90K180K270K360K450K383292405743370166207522

MinAvgMaxDN2820FYK0.331.01.16Fitlet20.964.24.7Karbon 3001.642.22.3NUC5i3RYB25.76.43OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.07.26CPU Power Consumption Monitor3691215

MinAvgMaxDN2820FYK42.0043.844.00Fitlet247.0052.454.00Karbon 30034.0036.237.00NUC5i3RYB41.0047.249.00OpenBenchmarking.orgCelsius, Fewer Is BetterStress-NG 0.07.26CPU Temperature Monitor1530456075

MinAvgMaxDN2820FYK7.28.28.4Fitlet24.49.410.3Karbon 3008.39.49.7NUC5i3RYB7.211.212.1OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.07.26System Power Consumption Monitor48121620

System Power Consumption Monitor

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System MonitoringDN2820FYKFitlet2Karbon 300NUC5i3RYB612182430Min: 7 / Avg: 8.7 / Max: 11.5Min: 4.4 / Avg: 9.12 / Max: 18.4Min: 8.1 / Avg: 9.78 / Max: 12.1Min: 7 / Avg: 11.96 / Max: 27.7