Intel Tiger Lake Mitigation COmparison

Tests for a possible future article by Michael Larabel. The "Ice Lake" and "Tiger Lake" numbers are from prior article testing. The "TGL ReRun 58" is from re-testing on Ubuntu 20.10 with all latest stable updates as of latest testing (notable significant update since then is newer Firefox as worth mentioning for any Firefox changes compared to original numbers, due to their new Warp JS). The "TGL Linux 5.10" results are when using the Linux 5.10 Git kernel from the Ubuntu Mainline Kernel PPA. Linux 5.10 results more in line with expectations.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2102245-HA-2012136HA60
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  Test
  Duration
Ice Lake: Default
October 24 2020
  4 Hours, 13 Minutes
Ice Lake: mitigations=off
October 25 2020
  3 Hours, 57 Minutes
Tiger Lake: Default
October 22 2020
  4 Hours, 7 Minutes
Tiger Lake: mitigations=off
October 23 2020
  3 Hours, 33 Minutes
TGL ReRun 58: Default
December 11 2020
  3 Hours, 31 Minutes
TGL ReRun 58: mitigations=off
December 13 2020
  3 Hours, 37 Minutes
TGL Linux 5.10: Default
December 13 2020
  3 Hours, 8 Minutes
TGL Linux 5.10: mitigations=off
December 13 2020
  3 Hours, 35 Minutes
my tiger lake, default
February 24 2021
  2 Hours, 14 Minutes
my tiger lake, unmitigated
February 24 2021
  2 Hours, 6 Minutes
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  3 Hours, 24 Minutes

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Intel Tiger Lake Mitigation COmparisonProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionOpenCLIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigatedIntel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads)Dell 06CDVY (1.0.9 BIOS)Intel Device 34ef16GBToshiba KBG40ZPZ512G NVMe 512GBIntel Iris Plus G7 3GB (1100MHz)Realtek ALC289Intel Killer Wi-Fi 6 AX1650i 160MHzUbuntu 20.105.8.0-25-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.6 Mesa 20.2.11.2.145GCC 10.2.0ext41920x1200Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads)Dell 0GG9PT (1.0.3 BIOS)Intel Tiger Lake-LPKioxia KBG40ZNS256G NVMe 256GBIntel UHD 3GB (1300MHz)Intel Wi-Fi 6 AX2015.8.0-31-generic (x86_64)5.10.0-051000rc7daily20201213-generic (x86_64) 20201212LENOVO LNVNB161216 (FBCN23WW BIOS)8GB512GB SAMSUNG MZVL2512HCJQ-00BL2Intel Iris Xe 3GB (1300MHz)Realtek ALC287ManjaroLinux 20.2.15.11.1-1-MANJARO (x86_64)GNOME Shell 3.38.3X Server 1.20.10intel4.6 Mesa 20.3.4OpenCL 3.0GCC 10.2.0 + Clang 11.1.01600x900OpenBenchmarking.orgCompiler Details- Ice Lake: Default, Ice Lake: mitigations=off, Tiger Lake: Default, Tiger Lake: mitigations=off, TGL ReRun 58: Default, TGL ReRun 58: mitigations=off, TGL Linux 5.10: Default, TGL Linux 5.10: mitigations=off: --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- Ice Lake: Default: NONE / errors=remount-ro,relatime,rw- Ice Lake: mitigations=off: NONE / errors=remount-ro,relatime,rw- Tiger Lake: Default: NONE / errors=remount-ro,relatime,rw- Tiger Lake: mitigations=off: NONE / errors=remount-ro,relatime,rw- TGL ReRun 58: Default: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Details- Ice Lake: Default: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x78 - Thermald 2.3- Ice Lake: mitigations=off: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x78 - Thermald 2.3- Tiger Lake: Default: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x60 - Thermald 2.3- Tiger Lake: mitigations=off: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x60 - Thermald 2.3- TGL ReRun 58: Default: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x60 - Thermald 2.3- TGL ReRun 58: mitigations=off: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x60 - Thermald 2.3- TGL Linux 5.10: Default: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x60 - Thermald 2.3- TGL Linux 5.10: mitigations=off: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x60 - Thermald 2.3- my tiger lake, default: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x66 - Thermald 2.4.2- my tiger lake, unmitigated: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x66 - Thermald 2.4.2Java Details- Ice Lake: Default: OpenJDK Runtime Environment (build 11.0.9+10-post-Ubuntu-0ubuntu1)- Ice Lake: mitigations=off: OpenJDK Runtime Environment (build 11.0.9+10-post-Ubuntu-0ubuntu1)- Tiger Lake: Default: OpenJDK Runtime Environment (build 11.0.9+10-post-Ubuntu-0ubuntu1)- Tiger Lake: mitigations=off: OpenJDK Runtime Environment (build 11.0.9+10-post-Ubuntu-0ubuntu1)- TGL ReRun 58: Default: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)- TGL ReRun 58: mitigations=off: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)- TGL Linux 5.10: Default: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)- TGL Linux 5.10: mitigations=off: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)Python Details- Ice Lake: Default: Python 3.8.6- Ice Lake: mitigations=off: Python 3.8.6- Tiger Lake: Default: Python 3.8.6- Tiger Lake: mitigations=off: Python 3.8.6- TGL ReRun 58: Default: Python 3.8.6- TGL ReRun 58: mitigations=off: Python 3.8.6- TGL Linux 5.10: Default: Python 3.8.6- TGL Linux 5.10: mitigations=off: Python 3.8.6- my tiger lake, default: Python 3.9.1- my tiger lake, unmitigated: Python 3.9.1Security Details- Ice Lake: Default: 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: Not affected + tsx_async_abort: Not affected - Ice Lake: mitigations=off: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled + srbds: Not affected + tsx_async_abort: Not affected - Tiger Lake: Default: itlb_multihit: Not affected + 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: Not affected + tsx_async_abort: Not affected - Tiger Lake: mitigations=off: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled + srbds: Not affected + tsx_async_abort: Not affected- TGL ReRun 58: Default: itlb_multihit: Not affected + 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: Not affected + tsx_async_abort: Not affected - TGL ReRun 58: mitigations=off: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled + srbds: Not affected + tsx_async_abort: Not affected- TGL Linux 5.10: Default: itlb_multihit: Not affected + 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: Not affected + tsx_async_abort: Not affected - TGL Linux 5.10: mitigations=off: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled + srbds: Not affected + tsx_async_abort: Not affected- my tiger lake, default: itlb_multihit: Not affected + 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: Not affected + tsx_async_abort: Not affected - my tiger lake, unmitigated: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled + srbds: Not affected + tsx_async_abort: Not affectedKernel Details- my tiger lake, default, my tiger lake, unmitigated: Transparent Huge Pages: madvise

Ice Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigatedResult OverviewPhoronix Test Suite100%122%144%166%188%Facebook RocksDBMobile Neural NetworkTensorFlow LiteSeleniumSockperfNCNNPyPerformanceSQLite Speedtest

Intel Tiger Lake Mitigation COmparisonsockperf: Throughputdacapobench: Jythonrenaissance: Twitter HTTP Requeststensorflow-lite: SqueezeNettensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2sqlite-speedtest: Timed Time - Size 1,000gimp: auto-levelsgimp: unsharp-maskcaffe: AlexNet - CPU - 100caffe: GoogleNet - CPU - 100mnn: resnet-v2-50mnn: inception-v3ncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - yolov4-tinyrocksdb: Rand Readpyperformance: pathlibselenium: Kraken - Firefoxselenium: WebXPRT - Firefoxselenium: Jetstream 2 - Firefoxselenium: ARES-6 - Google Chromeselenium: Kraken - Google Chromeselenium: Octane - Google Chromeselenium: WebXPRT - Google Chromeselenium: Jetstream - Google Chromeselenium: CanvasMark - Google Chromeselenium: StyleBench - Google Chromeselenium: Jetstream 2 - Google Chromeselenium: WASM imageConvolute - Google Chromegimp: auto-levelsgimp: unsharp-maskmnn: SqueezeNetV1.0mnn: MobileNetV2_224mnn: mobilenet-v1-1.0ncnn: CPU - squeezenetncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - resnet50Ice Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated55453751013842.164674153494187455175891755361.21513.00815.7096691217993466.58880.48180.6825.0222.0547.551292551516.8830.724191.64819.76799.353717225242.781499433.5138.43932.624558215144143525.294646988495179456401890509059.98612.31315.7406414017690863.44477.03275.5924.3321.4746.831373208016.1752.726499.72019.77806.053635227250.941514934.0140.14632.608276711738432487.367564437406430372045738254051.25111.26613.3458493121642054.54168.28871.0421.3018.6440.441579113613.9671.9288108.42316.60668.261608281289.551769839.6165.90928.257573803241132533.808588506430449394514776550053.13811.67013.9908984622678857.66873.11675.9823.2020.1543.821530407214.2610.5299115.08017.32701.858235269276.881686438.5158.47329.297277359034252515.071567661409558376005743422351.00611.16013.4158424621478453.95467.67170.4221.2118.640.021587130313.71005.726786.92116.19661.761369279289.932048542.6165.15428.699741680.923630.212593.01581732.98611111411997.95918367378435.374149667525608.843537453.1311.18013.48685939.795918367225830.5263157956.1070.1272.6421.9319.2141.2815589035.7114.26938.6729293.3249917.80680.4057008253272.25311966739.576153.7084629.3876018934712540.388559412404421369926734989750.84811.08713.3178400921388353.81467.69869.8221.1518.4739.891615116713.91004.126887.34616.16656.862304278292.242123742.9164.68728.612073332734602443.830558600403126368982735297750.68511.06813.3268396521354353.20166.24770.1121.2018.5740.291590078413.9886.929696.28516.07678.062405277292.302101043.0166.76928.2868644502395875286649270998523110049.88635.89144.12570.4515.6320.2829.582423640212.8890.097.48110.97012.6917.3544.0185.55519.1222.175.634.793.755.197.491.5216.4233.42636293396356289256272762526859749.29436.05943.62769.6815.6319.3229.112401663813.0796.8106.77110.66612.2907.2224.0125.56718.7721.955.564.703.755.187.441.5316.4133.64OpenBenchmarking.org

Sockperf

This is a network socket API performance benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMessages Per Second, More Is BetterSockperf 3.4Test: ThroughputIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated170K340K510K680K850KSE +/- 2421.79, N = 5SE +/- 6985.56, N = 5SE +/- 9040.07, N = 25SE +/- 8183.20, N = 5SE +/- 5771.94, N = 11SE +/- 9852.43, N = 20SE +/- 5678.70, N = 5SE +/- 6828.62, N = 25SE +/- 2778.53, N = 5SE +/- 3620.61, N = 5554537.00582151.00767117.00738032.00773590.00741680.92760189.00733327.00644502.00636293.001. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread
OpenBenchmarking.orgMessages Per Second, More Is BetterSockperf 3.4Test: ThroughputIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated130K260K390K520K650KMin: 547029 / Avg: 554537.4 / Max: 560837Min: 559547 / Avg: 582151.4 / Max: 596407Min: 632628 / Avg: 767116.96 / Max: 801744Min: 713039 / Avg: 738031.6 / Max: 752112Min: 728113 / Avg: 773589.55 / Max: 791678Min: 638589.6 / Avg: 741680.92 / Max: 783438.48Min: 748459 / Avg: 760189.2 / Max: 775769Min: 604110 / Avg: 733326.52 / Max: 770422Min: 636937 / Avg: 644502.4 / Max: 651390Min: 624141 / Avg: 636292.6 / Max: 6455521. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

DaCapo Benchmark

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

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonDefaultmitigations=off11002200330044005500SE +/- 93.22, N = 16SE +/- 45.07, N = 4SE +/- 38.95, N = 20SE +/- 50.55, N = 5SE +/- 7.95, N = 4SE +/- 25.57, N = 4SE +/- 39.09, N = 4SE +/- 33.94, N = 55101.004414.003843.004113.003425.003630.213471.003460.00
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonDefaultmitigations=off9001800270036004500Min: 4440 / Avg: 5100.75 / Max: 5737Min: 4323 / Avg: 4413.5 / Max: 4537Min: 3466 / Avg: 3842.7 / Max: 4094Min: 3939 / Avg: 4113.4 / Max: 4219Min: 3413 / Avg: 3425 / Max: 3448Min: 3567.71 / Avg: 3630.21 / Max: 3676.04Min: 3381 / Avg: 3471 / Max: 3558Min: 3367 / Avg: 3459.8 / Max: 3570

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Twitter HTTP RequestsDefaultmitigations=off8001600240032004000SE +/- 45.02, N = 5SE +/- 33.64, N = 25SE +/- 10.30, N = 5SE +/- 11.39, N = 5SE +/- 16.33, N = 5SE +/- 18.14, N = 5SE +/- 14.45, N = 5SE +/- 11.73, N = 53842.163525.292487.372533.812515.072593.012540.392443.83
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Twitter HTTP RequestsDefaultmitigations=off7001400210028003500Min: 3669.4 / Avg: 3842.16 / Max: 3918.64Min: 3285.93 / Avg: 3525.29 / Max: 3843.65Min: 2462.06 / Avg: 2487.37 / Max: 2511.52Min: 2511.41 / Avg: 2533.81 / Max: 2569.64Min: 2469.25 / Avg: 2515.07 / Max: 2566.92Min: 2549.81 / Avg: 2593.01 / Max: 2657.71Min: 2516.63 / Avg: 2540.39 / Max: 2596.62Min: 2422.12 / Avg: 2443.83 / Max: 2487.55

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated140K280K420K560K700KSE +/- 5183.16, N = 15SE +/- 12430.05, N = 14SE +/- 4132.54, N = 3SE +/- 6328.07, N = 3SE +/- 3215.23, N = 3SE +/- 4523.41, N = 3SE +/- 4476.17, N = 3SE +/- 4682.82, N = 3SE +/- 2335.83, N = 3SE +/- 2537.13, N = 3674153.00646988.00564437.00588506.00567661.00581732.99559412.00558600.00395875.00396356.00
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated120K240K360K480K600KMin: 611223 / Avg: 674153.2 / Max: 682946Min: 490679 / Avg: 646987.93 / Max: 677309Min: 556234 / Avg: 564436.67 / Max: 569416Min: 575850 / Avg: 588505.67 / Max: 594929Min: 561231 / Avg: 567660.67 / Max: 570963Min: 572692.71 / Avg: 581732.99 / Max: 586551.04Min: 550462 / Avg: 559412 / Max: 564064Min: 549236 / Avg: 558600 / Max: 563434Min: 391255 / Avg: 395875 / Max: 398785Min: 391328 / Avg: 396356 / Max: 399462

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated110K220K330K440K550KSE +/- 3688.05, N = 3SE +/- 2851.71, N = 3SE +/- 2818.20, N = 3SE +/- 3141.38, N = 3SE +/- 3076.30, N = 3SE +/- 3203.98, N = 3SE +/- 2967.19, N = 3SE +/- 2843.05, N = 3SE +/- 960.49, N = 3SE +/- 1561.84, N = 3494187.00495179.00406430.00430449.00409558.00411997.96404421.00403126.00286649.00289256.00
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated90K180K270K360K450KMin: 486812 / Avg: 494187.33 / Max: 497967Min: 489486 / Avg: 495179 / Max: 498324Min: 400797 / Avg: 406430 / Max: 409416Min: 424167 / Avg: 430448.67 / Max: 433691Min: 403423 / Avg: 409558.33 / Max: 413025Min: 405591.84 / Avg: 411997.96 / Max: 415333.67Min: 398487 / Avg: 404421.33 / Max: 407408Min: 397450 / Avg: 403126.33 / Max: 406253Min: 284746 / Avg: 286649.33 / Max: 287826Min: 286365 / Avg: 289256 / Max: 291726

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated100K200K300K400K500KSE +/- 3093.36, N = 3SE +/- 3375.54, N = 3SE +/- 2509.46, N = 3SE +/- 2832.59, N = 3SE +/- 2667.17, N = 3SE +/- 2912.75, N = 3SE +/- 2976.32, N = 3SE +/- 2493.36, N = 3SE +/- 670.99, N = 3SE +/- 677.12, N = 3455175.00456401.00372045.00394514.00376005.00378435.37369926.00368982.00270998.00272762.00
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated80K160K240K320K400KMin: 449010 / Avg: 455175 / Max: 458706Min: 449652 / Avg: 456401.33 / Max: 459909Min: 367028 / Avg: 372045 / Max: 374674Min: 388866 / Avg: 394513.67 / Max: 397723Min: 370671 / Avg: 376005.33 / Max: 378682Min: 372629.59 / Avg: 378435.37 / Max: 381753.06Min: 363989 / Avg: 369926 / Max: 373268Min: 364002 / Avg: 368982.33 / Max: 371691Min: 269704 / Avg: 270998 / Max: 271953Min: 271414 / Avg: 272762.33 / Max: 273546

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Ice Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated2M4M6M8M10MSE +/- 2473.50, N = 3SE +/- 14703.15, N = 3SE +/- 5564.33, N = 3SE +/- 1537.93, N = 3SE +/- 8367.51, N = 3SE +/- 6570.47, N = 3SE +/- 6529.42, N = 3SE +/- 7453.09, N = 3SE +/- 10551.93, N = 3SE +/- 5371.66, N = 38917553.008905090.007382540.007765500.007434223.007525608.847349897.007352977.005231100.005268597.00
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Ice Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated1.5M3M4.5M6M7.5MMin: 8912610 / Avg: 8917553.33 / Max: 8920190Min: 8875720 / Avg: 8905090 / Max: 8921040Min: 7371560 / Avg: 7382540 / Max: 7389600Min: 7762510 / Avg: 7765500 / Max: 7767620Min: 7421560 / Avg: 7434223.33 / Max: 7450030Min: 7512673.47 / Avg: 7525608.84 / Max: 7534081.63Min: 7336890 / Avg: 7349896.67 / Max: 7357410Min: 7339060 / Avg: 7352976.67 / Max: 7364560Min: 5210030 / Avg: 5231100 / Max: 5242670Min: 5257880 / Avg: 5268596.67 / Max: 5274610

SQLite Speedtest

This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Ice Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated1428425670SE +/- 0.96, N = 3SE +/- 0.22, N = 3SE +/- 0.29, N = 3SE +/- 0.50, N = 3SE +/- 0.28, N = 3SE +/- 0.56, N = 3SE +/- 0.53, N = 3SE +/- 0.33, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 361.2259.9951.2553.1451.0153.1350.8550.6949.8949.291. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Ice Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated1224364860Min: 60.13 / Avg: 61.21 / Max: 63.13Min: 59.68 / Avg: 59.99 / Max: 60.41Min: 50.68 / Avg: 51.25 / Max: 51.58Min: 52.14 / Avg: 53.14 / Max: 53.75Min: 50.45 / Avg: 51.01 / Max: 51.32Min: 52.16 / Avg: 53.13 / Max: 54.11Min: 49.88 / Avg: 50.85 / Max: 51.71Min: 50.03 / Avg: 50.69 / Max: 51.07Min: 49.71 / Avg: 49.89 / Max: 49.99Min: 49.14 / Avg: 49.29 / Max: 49.51. (CC) gcc options: -O2 -ldl -lz -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.

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsDefaultmitigations=off3691215SE +/- 0.15, N = 7SE +/- 0.12, N = 3SE +/- 0.11, N = 9SE +/- 0.12, N = 8SE +/- 0.10, N = 8SE +/- 0.11, N = 6SE +/- 0.14, N = 3SE +/- 0.10, N = 313.0112.3111.2711.6711.1611.1811.0911.07
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsDefaultmitigations=off48121620Min: 12.14 / Avg: 13.01 / Max: 13.22Min: 12.14 / Avg: 12.31 / Max: 12.55Min: 10.5 / Avg: 11.27 / Max: 11.81Min: 10.82 / Avg: 11.67 / Max: 11.9Min: 10.66 / Avg: 11.16 / Max: 11.51Min: 10.72 / Avg: 11.18 / Max: 11.5Min: 10.88 / Avg: 11.09 / Max: 11.35Min: 10.91 / Avg: 11.07 / Max: 11.25

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: unsharp-maskDefaultmitigations=off48121620SE +/- 0.21, N = 5SE +/- 0.16, N = 15SE +/- 0.13, N = 9SE +/- 0.14, N = 9SE +/- 0.09, N = 15SE +/- 0.14, N = 12SE +/- 0.12, N = 12SE +/- 0.10, N = 1215.7115.7413.3513.9913.4213.4913.3213.33
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: unsharp-maskDefaultmitigations=off48121620Min: 14.9 / Avg: 15.71 / Max: 16.09Min: 14.19 / Avg: 15.74 / Max: 16.73Min: 12.31 / Avg: 13.34 / Max: 13.64Min: 12.96 / Avg: 13.99 / Max: 14.32Min: 12.27 / Avg: 13.41 / Max: 13.79Min: 12.13 / Avg: 13.49 / Max: 14.2Min: 11.97 / Avg: 13.32 / Max: 13.54Min: 12.27 / Avg: 13.33 / Max: 13.61

Caffe

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

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Defaultmitigations=off20K40K60K80K100KSE +/- 396.22, N = 3SE +/- 873.74, N = 3SE +/- 561.91, N = 3SE +/- 434.17, N = 3SE +/- 380.75, N = 3SE +/- 414.84, N = 3SE +/- 593.84, N = 3SE +/- 455.74, N = 366912.0064140.0084931.0089846.0084246.0085939.8084009.0083965.001. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Defaultmitigations=off16K32K48K64K80KMin: 66145 / Avg: 66912 / Max: 67468Min: 62393 / Avg: 64139.67 / Max: 65059Min: 83813 / Avg: 84931 / Max: 85589Min: 88986 / Avg: 89846 / Max: 90380Min: 83485 / Avg: 84246.33 / Max: 84641Min: 85112.24 / Avg: 85939.8 / Max: 86405.1Min: 82908 / Avg: 84009.33 / Max: 84945Min: 83063 / Avg: 83964.67 / Max: 845311. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Defaultmitigations=off50K100K150K200K250KSE +/- 269.90, N = 3SE +/- 739.79, N = 3SE +/- 393.32, N = 3SE +/- 351.65, N = 3SE +/- 543.36, N = 3SE +/- 626.06, N = 3SE +/- 553.87, N = 3SE +/- 455.98, N = 3179934.00176908.00216420.00226788.00214784.00225830.53213883.00213543.001. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Defaultmitigations=off40K80K120K160K200KMin: 179544 / Avg: 179933.67 / Max: 180452Min: 175487 / Avg: 176908.33 / Max: 177975Min: 215784 / Avg: 216420.33 / Max: 217139Min: 226174 / Avg: 226788.33 / Max: 227392Min: 213736 / Avg: 214784 / Max: 215557Min: 224590.53 / Avg: 225830.53 / Max: 226601.05Min: 212778 / Avg: 213883 / Max: 214503Min: 212644 / Avg: 213543.33 / Max: 2141241. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Ice Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated1530456075SE +/- 0.34, N = 3SE +/- 0.20, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.19, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 366.5963.4454.5457.6753.9556.1053.8153.2035.8936.06MIN: 62.42 / MAX: 109.96MIN: 56.81 / MAX: 91.45MIN: 52.47 / MAX: 71.35MIN: 52.17 / MAX: 88MIN: 51.83 / MAX: 69.79MIN: 52.22 / MAX: 69.59MIN: 51.25 / MAX: 70.06MIN: 34.72 / MAX: 48.94MIN: 35.06 / MAX: 48.881. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Ice Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated1326395265Min: 66.23 / Avg: 66.59 / Max: 67.27Min: 63.08 / Avg: 63.44 / Max: 63.77Min: 54.48 / Avg: 54.54 / Max: 54.64Min: 57.47 / Avg: 57.67 / Max: 57.77Min: 53.69 / Avg: 53.95 / Max: 54.32Min: 56.03 / Avg: 56.1 / Max: 56.15Min: 53.63 / Avg: 53.81 / Max: 53.91Min: 53.03 / Avg: 53.2 / Max: 53.29Min: 35.78 / Avg: 35.89 / Max: 35.98Min: 35.95 / Avg: 36.06 / Max: 36.281. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Ice Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated20406080100SE +/- 0.50, N = 3SE +/- 0.72, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 0.29, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.31, N = 380.4877.0368.2973.1267.6770.1267.7066.2544.1343.63MIN: 77.49 / MAX: 99.85MIN: 70.4 / MAX: 108.37MIN: 66.59 / MAX: 84.15MIN: 68.33 / MAX: 117.84MIN: 65.82 / MAX: 84.07MIN: 65.66 / MAX: 83.26MIN: 64.97 / MAX: 87.52MIN: 41.39 / MAX: 57.22MIN: 40.55 / MAX: 67.131. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Ice Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated1530456075Min: 79.93 / Avg: 80.48 / Max: 81.47Min: 75.75 / Avg: 77.03 / Max: 78.25Min: 68.09 / Avg: 68.29 / Max: 68.46Min: 73.04 / Avg: 73.12 / Max: 73.17Min: 67.33 / Avg: 67.67 / Max: 67.89Min: 70.05 / Avg: 70.12 / Max: 70.17Min: 67.2 / Avg: 67.7 / Max: 68.21Min: 66.17 / Avg: 66.25 / Max: 66.32Min: 43.91 / Avg: 44.13 / Max: 44.25Min: 43.05 / Avg: 43.63 / Max: 44.091. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Ice Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated20406080100SE +/- 0.11, N = 3SE +/- 1.31, N = 4SE +/- 0.12, N = 3SE +/- 0.19, N = 3SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.23, N = 3SE +/- 0.24, N = 3SE +/- 0.05, N = 380.6875.5971.0475.9870.4272.6469.8270.1170.4569.68MIN: 76.5 / MAX: 103.41MIN: 70.5 / MAX: 95.89MIN: 67.45 / MAX: 85.82MIN: 71.7 / MAX: 102.99MIN: 66.85 / MAX: 83.65MIN: 66.13 / MAX: 82.99MIN: 65.99 / MAX: 84.04MIN: 69.47 / MAX: 79.89MIN: 68.86 / MAX: 80.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Ice Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated1530456075Min: 80.55 / Avg: 80.68 / Max: 80.9Min: 72.81 / Avg: 75.59 / Max: 79.13Min: 70.81 / Avg: 71.04 / Max: 71.22Min: 75.69 / Avg: 75.98 / Max: 76.33Min: 70.37 / Avg: 70.42 / Max: 70.51Min: 72.37 / Avg: 72.64 / Max: 72.81Min: 69.73 / Avg: 69.82 / Max: 69.92Min: 69.69 / Avg: 70.11 / Max: 70.5Min: 70.2 / Avg: 70.45 / Max: 70.93Min: 69.62 / Avg: 69.68 / Max: 69.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Ice Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated612182430SE +/- 0.04, N = 3SE +/- 0.51, N = 4SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 325.0224.3321.3023.2021.2121.9321.1521.2015.6315.63MIN: 22.42 / MAX: 37.92MIN: 20.42 / MAX: 41.66MIN: 18.47 / MAX: 34.83MIN: 20.27 / MAX: 38MIN: 18.54 / MAX: 23.48MIN: 18.49 / MAX: 32.54MIN: 18.49 / MAX: 34.99MIN: 15.35 / MAX: 17.48MIN: 15.31 / MAX: 17.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Ice Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated612182430Min: 24.98 / Avg: 25.02 / Max: 25.1Min: 22.83 / Avg: 24.33 / Max: 24.98Min: 21.22 / Avg: 21.3 / Max: 21.34Min: 23.16 / Avg: 23.2 / Max: 23.24Min: 21.16 / Avg: 21.21 / Max: 21.26Min: 21.9 / Avg: 21.93 / Max: 21.98Min: 21.12 / Avg: 21.15 / Max: 21.19Min: 21.14 / Avg: 21.2 / Max: 21.27Min: 15.6 / Avg: 15.63 / Max: 15.66Min: 15.58 / Avg: 15.63 / Max: 15.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated510152025SE +/- 0.02, N = 3SE +/- 0.38, N = 4SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 322.0521.4718.6420.1518.6019.2118.4718.5720.2819.32MIN: 20.64 / MAX: 34.28MIN: 19.64 / MAX: 34.78MIN: 17.18 / MAX: 29.18MIN: 18.45 / MAX: 58.96MIN: 17.18 / MAX: 27.55MIN: 17.18 / MAX: 24.96MIN: 17.14 / MAX: 25.33MIN: 19.88 / MAX: 30.06MIN: 18.89 / MAX: 28.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated510152025Min: 22.02 / Avg: 22.05 / Max: 22.09Min: 20.79 / Avg: 21.47 / Max: 22.19Min: 18.62 / Avg: 18.64 / Max: 18.67Min: 20.03 / Avg: 20.15 / Max: 20.25Min: 18.6 / Avg: 18.6 / Max: 18.6Min: 19.16 / Avg: 19.21 / Max: 19.29Min: 18.42 / Avg: 18.47 / Max: 18.51Min: 18.46 / Avg: 18.57 / Max: 18.71Min: 20.26 / Avg: 20.28 / Max: 20.31Min: 19.25 / Avg: 19.32 / Max: 19.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated1122334455SE +/- 0.04, N = 3SE +/- 0.64, N = 4SE +/- 0.19, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.41, N = 3SE +/- 0.08, N = 347.5546.8340.4443.8240.0241.2839.8940.2929.5829.11MIN: 45.86 / MAX: 62.55MIN: 42.33 / MAX: 59.43MIN: 38.52 / MAX: 52.97MIN: 41.38 / MAX: 88.84MIN: 38.59 / MAX: 48.41MIN: 38.41 / MAX: 50.73MIN: 38.49 / MAX: 52.32MIN: 28.89 / MAX: 32.82MIN: 28.66 / MAX: 31.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated1020304050Min: 47.5 / Avg: 47.55 / Max: 47.62Min: 44.94 / Avg: 46.83 / Max: 47.67Min: 40.2 / Avg: 40.44 / Max: 40.82Min: 43.7 / Avg: 43.82 / Max: 43.94Min: 39.94 / Avg: 40.02 / Max: 40.1Min: 41.15 / Avg: 41.28 / Max: 41.43Min: 39.8 / Avg: 39.89 / Max: 40Min: 39.97 / Avg: 40.29 / Max: 40.47Min: 29.16 / Avg: 29.58 / Max: 30.4Min: 28.99 / Avg: 29.11 / Max: 29.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Facebook RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated5M10M15M20M25MSE +/- 123171.35, N = 15SE +/- 208149.62, N = 15SE +/- 224908.53, N = 3SE +/- 150814.30, N = 3SE +/- 113483.52, N = 12SE +/- 120229.46, N = 10SE +/- 228211.34, N = 3SE +/- 127649.37, N = 9SE +/- 240154.22, N = 3SE +/- 172073.57, N = 312925515.0013732080.0015791136.0015304072.0015871303.0015589035.7116151167.0015900784.0024236402.0024016638.001. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated4M8M12M16M20MMin: 12559704 / Avg: 12925515.33 / Max: 14496776Min: 13179330 / Avg: 13732079.87 / Max: 16527585Min: 15437905 / Avg: 15791135.67 / Max: 16208941Min: 15125634 / Avg: 15304072.33 / Max: 15603897Min: 15526225 / Avg: 15871303.33 / Max: 16896316Min: 15215149.74 / Avg: 15589035.71 / Max: 16591164.8Min: 15921602 / Avg: 16151167 / Max: 16607587Min: 15518998 / Avg: 15900783.67 / Max: 16777546Min: 23961273 / Avg: 24236401.67 / Max: 24714921Min: 23820703 / Avg: 24016638 / Max: 243596261. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated48121620SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 5SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.19, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 316.8016.1013.9014.2013.7014.2613.9013.9012.8013.00
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated48121620Min: 16.6 / Avg: 16.77 / Max: 16.9Min: 16.1 / Avg: 16.13 / Max: 16.2Min: 13.7 / Avg: 13.87 / Max: 14Min: 13.9 / Avg: 14.2 / Max: 14.4Min: 13.1 / Avg: 13.7 / Max: 13.9Min: 13.92 / Avg: 14.26 / Max: 14.43Min: 13.6 / Avg: 13.93 / Max: 14.1Min: 13.5 / Avg: 13.87 / Max: 14.1Min: 12.8 / Avg: 12.83 / Max: 12.9Min: 12.9 / Avg: 13 / Max: 13.1

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated2004006008001000SE +/- 1.20, N = 3SE +/- 1.72, N = 3SE +/- 1.35, N = 3SE +/- 0.73, N = 3SE +/- 2.62, N = 3SE +/- 1.19, N = 3SE +/- 2.10, N = 3SE +/- 2.55, N = 3SE +/- 5.50, N = 3SE +/- 3.47, N = 3830.70752.70671.90610.501005.70938.671004.10886.90890.00796.801. Ice Lake: Default: firefox 82.02. Ice Lake: mitigations=off: firefox 82.03. Tiger Lake: Default: firefox 81.0.24. Tiger Lake: mitigations=off: firefox 81.0.25. TGL ReRun 58: Default: firefox 83.06. TGL ReRun 58: mitigations=off: firefox 83.07. TGL Linux 5.10: Default: firefox 83.08. TGL Linux 5.10: mitigations=off: firefox 83.09. my tiger lake, default: firefox 86.010. my tiger lake, unmitigated: firefox 86.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated2004006008001000Min: 828.3 / Avg: 830.67 / Max: 832.2Min: 749.5 / Avg: 752.67 / Max: 755.4Min: 670.2 / Avg: 671.93 / Max: 674.6Min: 609.2 / Avg: 610.53 / Max: 611.7Min: 1000.5 / Avg: 1005.73 / Max: 1008.4Min: 936.53 / Avg: 938.67 / Max: 940.63Min: 1000.8 / Avg: 1004.13 / Max: 1008Min: 882 / Avg: 886.87 / Max: 890.6Min: 880.9 / Avg: 890.03 / Max: 899.9Min: 789.9 / Avg: 796.83 / Max: 800.51. Ice Lake: Default: firefox 82.02. Ice Lake: mitigations=off: firefox 82.03. Tiger Lake: Default: firefox 81.0.24. Tiger Lake: mitigations=off: firefox 81.0.25. TGL ReRun 58: Default: firefox 83.06. TGL ReRun 58: mitigations=off: firefox 83.07. TGL Linux 5.10: Default: firefox 83.08. TGL Linux 5.10: mitigations=off: firefox 83.09. my tiger lake, default: firefox 86.010. my tiger lake, unmitigated: firefox 86.0

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: FirefoxDefaultmitigations=off70140210280350SE +/- 0.88, N = 3SE +/- 1.53, N = 3SE +/- 1.00, N = 2SE +/- 0.33, N = 3SE +/- 2.03, N = 3SE +/- 0.58, N = 32412642882992672922682961. firefox 83.0
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: FirefoxDefaultmitigations=off50100150200250Min: 239 / Avg: 240.67 / Max: 242Min: 261 / Avg: 264 / Max: 266Min: 287 / Avg: 288 / Max: 289Min: 299 / Avg: 299.33 / Max: 300Min: 289 / Avg: 292.33 / Max: 296Min: 295 / Avg: 296 / Max: 2971. firefox 83.0

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated306090120150SE +/- 0.36, N = 3SE +/- 0.55, N = 3SE +/- 0.86, N = 3SE +/- 1.47, N = 5SE +/- 0.76, N = 3SE +/- 1.14, N = 3SE +/- 0.14, N = 3SE +/- 0.42, N = 3SE +/- 1.19, N = 4SE +/- 0.55, N = 391.6599.72108.42115.0886.9293.3287.3596.2997.48106.771. Ice Lake: Default: firefox 82.02. Ice Lake: mitigations=off: firefox 82.03. Tiger Lake: Default: firefox 81.0.24. Tiger Lake: mitigations=off: firefox 81.0.25. TGL ReRun 58: Default: firefox 83.06. TGL ReRun 58: mitigations=off: firefox 83.07. TGL Linux 5.10: Default: firefox 83.08. TGL Linux 5.10: mitigations=off: firefox 83.09. my tiger lake, default: firefox 86.010. my tiger lake, unmitigated: firefox 86.0
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated20406080100Min: 90.93 / Avg: 91.65 / Max: 92.03Min: 98.68 / Avg: 99.72 / Max: 100.58Min: 106.71 / Avg: 108.42 / Max: 109.4Min: 112.24 / Avg: 115.08 / Max: 119.73Min: 85.79 / Avg: 86.92 / Max: 88.36Min: 91.89 / Avg: 93.32 / Max: 95.57Min: 87.18 / Avg: 87.35 / Max: 87.62Min: 95.67 / Avg: 96.29 / Max: 97.1Min: 94.58 / Avg: 97.48 / Max: 100.35Min: 105.67 / Avg: 106.77 / Max: 107.351. Ice Lake: Default: firefox 82.02. Ice Lake: mitigations=off: firefox 82.03. Tiger Lake: Default: firefox 81.0.24. Tiger Lake: mitigations=off: firefox 81.0.25. TGL ReRun 58: Default: firefox 83.06. TGL ReRun 58: mitigations=off: firefox 83.07. TGL Linux 5.10: Default: firefox 83.08. TGL Linux 5.10: mitigations=off: firefox 83.09. my tiger lake, default: firefox 86.010. my tiger lake, unmitigated: firefox 86.0

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeDefaultmitigations=off510152025SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.14, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.14, N = 319.7619.7716.6017.3216.1917.8016.1616.071. chrome 87.0.4280.88
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeDefaultmitigations=off510152025Min: 19.71 / Avg: 19.76 / Max: 19.8Min: 19.7 / Avg: 19.77 / Max: 19.82Min: 16.35 / Avg: 16.6 / Max: 16.74Min: 17.05 / Avg: 17.32 / Max: 17.53Min: 15.97 / Avg: 16.19 / Max: 16.39Min: 17.65 / Avg: 17.8 / Max: 17.88Min: 16.04 / Avg: 16.16 / Max: 16.31Min: 15.83 / Avg: 16.07 / Max: 16.321. chrome 87.0.4280.88

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeDefaultmitigations=off2004006008001000SE +/- 2.47, N = 3SE +/- 3.34, N = 3SE +/- 1.55, N = 3SE +/- 9.46, N = 3SE +/- 1.95, N = 3SE +/- 1.46, N = 3SE +/- 3.01, N = 3SE +/- 4.40, N = 3799.30806.00668.20701.80661.70680.40656.80678.001. chrome 87.0.4280.88
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeDefaultmitigations=off140280420560700Min: 796.3 / Avg: 799.3 / Max: 804.2Min: 799.3 / Avg: 805.97 / Max: 809.6Min: 665.8 / Avg: 668.23 / Max: 671.1Min: 688.4 / Avg: 701.83 / Max: 720.1Min: 658 / Avg: 661.73 / Max: 664.6Min: 677.78 / Avg: 680.4 / Max: 682.83Min: 651.7 / Avg: 656.77 / Max: 662.1Min: 671.3 / Avg: 678 / Max: 686.31. chrome 87.0.4280.88

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: Google ChromeDefaultmitigations=off13K26K39K52K65KSE +/- 67.56, N = 3SE +/- 159.67, N = 3SE +/- 1033.11, N = 3SE +/- 745.81, N = 5SE +/- 422.22, N = 13SE +/- 605.64, N = 5SE +/- 780.90, N = 3SE +/- 817.53, N = 353717536356160858235613695700862304624051. chrome 87.0.4280.88
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: Google ChromeDefaultmitigations=off11K22K33K44K55KMin: 53599 / Avg: 53717 / Max: 53833Min: 53316 / Avg: 53635.33 / Max: 53797Min: 60493 / Avg: 61608 / Max: 63672Min: 57022 / Avg: 58234.6 / Max: 61104Min: 60078 / Avg: 61369.08 / Max: 65040Min: 56278 / Avg: 57008.4 / Max: 59419Min: 61247 / Avg: 62303.67 / Max: 63828Min: 61157 / Avg: 62405.33 / Max: 639441. chrome 87.0.4280.88

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: Google ChromeDefaultmitigations=off60120180240300SE +/- 2.08, N = 3SE +/- 0.58, N = 3SE +/- 1.00, N = 3SE +/- 2.91, N = 3SE +/- 1.86, N = 3SE +/- 2.08, N = 3SE +/- 3.06, N = 32252272812692792532782771. chrome 87.0.4280.88
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: Google ChromeDefaultmitigations=off50100150200250Min: 222 / Avg: 225 / Max: 229Min: 280 / Avg: 281 / Max: 282Min: 267 / Avg: 269 / Max: 270Min: 274 / Avg: 278.67 / Max: 284Min: 251 / Avg: 253.33 / Max: 257Min: 275 / Avg: 278 / Max: 282Min: 273 / Avg: 277 / Max: 2831. chrome 87.0.4280.88

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream - Browser: Google ChromeDefaultmitigations=off60120180240300SE +/- 0.87, N = 3SE +/- 0.84, N = 3SE +/- 1.20, N = 3SE +/- 0.73, N = 3SE +/- 0.22, N = 3SE +/- 0.75, N = 3SE +/- 0.43, N = 3SE +/- 0.18, N = 3242.78250.94289.55276.88289.93272.25292.24292.301. chrome 87.0.4280.88
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream - Browser: Google ChromeDefaultmitigations=off50100150200250Min: 241.09 / Avg: 242.78 / Max: 243.96Min: 250.08 / Avg: 250.94 / Max: 252.63Min: 287.69 / Avg: 289.55 / Max: 291.79Min: 275.97 / Avg: 276.88 / Max: 278.32Min: 289.58 / Avg: 289.93 / Max: 290.34Min: 271.15 / Avg: 272.25 / Max: 273.7Min: 291.51 / Avg: 292.24 / Max: 293Min: 292.05 / Avg: 292.3 / Max: 292.661. chrome 87.0.4280.88

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: Google ChromeDefaultmitigations=off5K10K15K20K25KSE +/- 144.97, N = 9SE +/- 107.22, N = 3SE +/- 200.87, N = 12SE +/- 151.73, N = 10SE +/- 254.54, N = 4SE +/- 145.83, N = 3SE +/- 209.48, N = 3SE +/- 293.33, N = 314994151491769816864204851966721237210101. chrome 87.0.4280.88
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: Google ChromeDefaultmitigations=off4K8K12K16K20KMin: 14456 / Avg: 14994.22 / Max: 15839Min: 14949 / Avg: 15149 / Max: 15316Min: 16711 / Avg: 17697.67 / Max: 18599Min: 16357 / Avg: 16863.5 / Max: 17640Min: 19806 / Avg: 20484.5 / Max: 20972Min: 19376 / Avg: 19667.33 / Max: 19825Min: 20973 / Avg: 21237.33 / Max: 21651Min: 20423 / Avg: 21009.67 / Max: 213041. chrome 87.0.4280.88

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google ChromeDefaultmitigations=off1020304050SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 333.5034.0039.6038.5042.6039.5842.9043.001. chrome 87.0.4280.88
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google ChromeDefaultmitigations=off918273645Min: 33.2 / Avg: 33.47 / Max: 33.6Min: 33.9 / Avg: 33.97 / Max: 34Min: 39.4 / Avg: 39.6 / Max: 39.8Min: 38.4 / Avg: 38.47 / Max: 38.5Min: 42.4 / Avg: 42.57 / Max: 42.8Min: 39.38 / Avg: 39.58 / Max: 39.77Min: 42.8 / Avg: 42.93 / Max: 43.2Min: 42.8 / Avg: 42.97 / Max: 43.11. chrome 87.0.4280.88

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeDefaultmitigations=off4080120160200SE +/- 0.40, N = 3SE +/- 0.64, N = 3SE +/- 0.51, N = 3SE +/- 0.72, N = 3SE +/- 2.37, N = 3SE +/- 0.42, N = 3SE +/- 0.37, N = 3SE +/- 1.14, N = 3138.44140.15165.91158.47165.15153.71164.69166.771. chrome 87.0.4280.88
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeDefaultmitigations=off306090120150Min: 137.95 / Avg: 138.44 / Max: 139.23Min: 139.07 / Avg: 140.15 / Max: 141.28Min: 164.92 / Avg: 165.91 / Max: 166.63Min: 157.29 / Avg: 158.47 / Max: 159.78Min: 162.52 / Avg: 165.15 / Max: 169.89Min: 152.94 / Avg: 153.71 / Max: 154.37Min: 164.31 / Avg: 164.69 / Max: 165.42Min: 164.57 / Avg: 166.77 / Max: 168.421. chrome 87.0.4280.88

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromeDefaultmitigations=off816243240SE +/- 0.34, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.25, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 332.6232.6128.2629.3028.7029.3828.6128.291. chrome 87.0.4280.88
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromeDefaultmitigations=off714212835Min: 32.01 / Avg: 32.62 / Max: 33.19Min: 32.44 / Avg: 32.61 / Max: 32.75Min: 28.13 / Avg: 28.26 / Max: 28.46Min: 29.05 / Avg: 29.3 / Max: 29.79Min: 28.64 / Avg: 28.7 / Max: 28.8Min: 29.27 / Avg: 29.38 / Max: 29.6Min: 28.55 / Avg: 28.61 / Max: 28.65Min: 28.18 / Avg: 28.29 / Max: 28.371. chrome 87.0.4280.88

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 2.10.22Test: auto-levelsmy tiger lake, defaultmy tiger lake, unmitigated3691215SE +/- 0.04, N = 3SE +/- 0.04, N = 310.9710.67
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.22Test: auto-levelsmy tiger lake, defaultmy tiger lake, unmitigated3691215Min: 10.93 / Avg: 10.97 / Max: 11.04Min: 10.61 / Avg: 10.67 / Max: 10.74

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.22Test: unsharp-maskmy tiger lake, defaultmy tiger lake, unmitigated3691215SE +/- 0.05, N = 3SE +/- 0.03, N = 312.6912.29
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.22Test: unsharp-maskmy tiger lake, defaultmy tiger lake, unmitigated48121620Min: 12.6 / Avg: 12.69 / Max: 12.77Min: 12.24 / Avg: 12.29 / Max: 12.34

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0my tiger lake, defaultmy tiger lake, unmitigated246810SE +/- 0.047, N = 3SE +/- 0.029, N = 37.3547.222MIN: 7.11 / MAX: 19.8MIN: 7 / MAX: 20.121. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0my tiger lake, defaultmy tiger lake, unmitigated3691215Min: 7.28 / Avg: 7.35 / Max: 7.44Min: 7.17 / Avg: 7.22 / Max: 7.261. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224my tiger lake, defaultmy tiger lake, unmitigated0.90411.80822.71233.61644.5205SE +/- 0.003, N = 3SE +/- 0.021, N = 34.0184.012MIN: 3.9 / MAX: 16.8MIN: 3.87 / MAX: 16.891. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224my tiger lake, defaultmy tiger lake, unmitigated246810Min: 4.01 / Avg: 4.02 / Max: 4.02Min: 3.97 / Avg: 4.01 / Max: 4.051. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0my tiger lake, defaultmy tiger lake, unmitigated1.25262.50523.75785.01046.263SE +/- 0.005, N = 3SE +/- 0.026, N = 35.5555.567MIN: 5.35 / MAX: 17.38MIN: 5.36 / MAX: 18.021. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0my tiger lake, defaultmy tiger lake, unmitigated246810Min: 5.55 / Avg: 5.55 / Max: 5.56Min: 5.53 / Avg: 5.57 / Max: 5.621. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetmy tiger lake, defaultmy tiger lake, unmitigated510152025SE +/- 0.19, N = 3SE +/- 0.03, N = 319.1218.77MIN: 18.68 / MAX: 21.45MIN: 18.46 / MAX: 20.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetmy tiger lake, defaultmy tiger lake, unmitigated510152025Min: 18.92 / Avg: 19.12 / Max: 19.49Min: 18.71 / Avg: 18.77 / Max: 18.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetmy tiger lake, defaultmy tiger lake, unmitigated510152025SE +/- 0.30, N = 3SE +/- 0.12, N = 322.1721.95MIN: 21.51 / MAX: 31.99MIN: 21.45 / MAX: 31.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetmy tiger lake, defaultmy tiger lake, unmitigated510152025Min: 21.8 / Avg: 22.17 / Max: 22.77Min: 21.78 / Avg: 21.95 / Max: 22.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2my tiger lake, defaultmy tiger lake, unmitigated1.26682.53363.80045.06726.334SE +/- 0.01, N = 3SE +/- 0.00, N = 35.635.56MIN: 5.55 / MAX: 7.27MIN: 5.47 / MAX: 7.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2my tiger lake, defaultmy tiger lake, unmitigated246810Min: 5.62 / Avg: 5.63 / Max: 5.64Min: 5.56 / Avg: 5.56 / Max: 5.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3my tiger lake, defaultmy tiger lake, unmitigated1.07782.15563.23344.31125.389SE +/- 0.00, N = 3SE +/- 0.01, N = 34.794.70MIN: 4.69 / MAX: 6.7MIN: 4.61 / MAX: 6.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3my tiger lake, defaultmy tiger lake, unmitigated246810Min: 4.79 / Avg: 4.79 / Max: 4.8Min: 4.69 / Avg: 4.7 / Max: 4.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2my tiger lake, defaultmy tiger lake, unmitigated0.84381.68762.53143.37524.219SE +/- 0.01, N = 3SE +/- 0.00, N = 33.753.75MIN: 3.68 / MAX: 5.17MIN: 3.69 / MAX: 5.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2my tiger lake, defaultmy tiger lake, unmitigated246810Min: 3.74 / Avg: 3.75 / Max: 3.76Min: 3.75 / Avg: 3.75 / Max: 3.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetmy tiger lake, defaultmy tiger lake, unmitigated1.16782.33563.50344.67125.839SE +/- 0.01, N = 3SE +/- 0.01, N = 35.195.18MIN: 5.11 / MAX: 7.11MIN: 5.09 / MAX: 7.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetmy tiger lake, defaultmy tiger lake, unmitigated246810Min: 5.18 / Avg: 5.19 / Max: 5.2Min: 5.16 / Avg: 5.18 / Max: 5.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0my tiger lake, defaultmy tiger lake, unmitigated246810SE +/- 0.01, N = 3SE +/- 0.02, N = 37.497.44MIN: 7.39 / MAX: 9.4MIN: 7.3 / MAX: 9.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0my tiger lake, defaultmy tiger lake, unmitigated3691215Min: 7.48 / Avg: 7.49 / Max: 7.5Min: 7.4 / Avg: 7.44 / Max: 7.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefacemy tiger lake, defaultmy tiger lake, unmitigated0.34430.68861.03291.37721.7215SE +/- 0.00, N = 3SE +/- 0.01, N = 31.521.53MIN: 1.51 / MAX: 3.02MIN: 1.5 / MAX: 3.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefacemy tiger lake, defaultmy tiger lake, unmitigated246810Min: 1.52 / Avg: 1.52 / Max: 1.53Min: 1.52 / Avg: 1.53 / Max: 1.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetmy tiger lake, defaultmy tiger lake, unmitigated48121620SE +/- 0.03, N = 3SE +/- 0.07, N = 316.4216.41MIN: 16.19 / MAX: 18.48MIN: 16.04 / MAX: 19.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetmy tiger lake, defaultmy tiger lake, unmitigated48121620Min: 16.37 / Avg: 16.42 / Max: 16.48Min: 16.27 / Avg: 16.41 / Max: 16.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50my tiger lake, defaultmy tiger lake, unmitigated816243240SE +/- 0.06, N = 3SE +/- 0.07, N = 333.4233.64MIN: 32.84 / MAX: 43MIN: 32.82 / MAX: 43.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50my tiger lake, defaultmy tiger lake, unmitigated714212835Min: 33.34 / Avg: 33.42 / Max: 33.54Min: 33.51 / Avg: 33.64 / Max: 33.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread