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 2012136-HA-MITIGATIO92
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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
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  3 Hours, 43 Minutes

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ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionIce LakeTiger LakeTGL ReRun 58TGL Linux 5.10 Default mitigations=off Default mitigations=off Default mitigations=off Default mitigations=offIntel 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) 20201212OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Disk Details- 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 2.3Java 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- Python 3.8.6Security 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

sockperf: 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 ChromeIce LakeTiger LakeTGL ReRun 58TGL Linux 5.10 Default mitigations=off Default mitigations=off Default mitigations=off Default mitigations=off55453751013842.164674153494187455175891755361.21513.00815.7096691217993466.58880.48180.6825.0222.0547.551292551516.8830.724191.64819.76799.353717225242.781499433.5138.43932.624558215144143525.294646988495179456401890509059.98612.31315.7406414017690863.44477.03275.5924.3321.4746.831373208016.1752.726499.72019.77806.053635227250.941514934.0140.14632.608276711738432487.367564437406430372045738254051.25111.26613.3458493121642054.54168.28871.0421.3018.6440.441579113613.9671.9288108.42316.60668.261608281289.551769839.6165.90928.257573803241132533.808588506430449394514776550053.13811.67013.9908984622678857.66873.11675.9823.2020.1543.821530407214.2610.5299115.08017.32701.858235269276.881686438.5158.47329.297277359034252515.071567661409558376005743422351.00611.16013.4158424621478453.95467.67170.4221.2118.640.021587130313.71005.726786.92116.19661.761369279289.932048542.6165.15428.699741680.923630.212593.01581732.98611111411997.95918367378435.374149667525608.843537453.1311.18013.48685939.795918367225830.5263157956.1070.1272.6421.9319.2141.2815589035.7114.26938.6729293.3249917.80680.4057008253272.25311966739.576153.7084629.3876018934712540.388559412404421369926734989750.84811.08713.3178400921388353.81467.69869.8221.1518.4739.891615116713.91004.126887.34616.16656.862304278292.242123742.9164.68728.612073332734602443.830558600403126368982735297750.68511.06813.3268396521354353.20166.24770.1121.2018.5740.291590078413.9886.929696.28516.07678.062405277292.302101043.0166.76928.2868OpenBenchmarking.org

Sockperf

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

Defaultmitigations=offOpenBenchmarking.orgMessages Per Second, More Is BetterSockperf 3.4Test: ThroughputIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake170K340K510K680K850KSE +/- 2421.79, N = 5SE +/- 5678.70, N = 5SE +/- 5771.94, N = 11SE +/- 9040.07, N = 25SE +/- 6985.56, N = 5SE +/- 6828.62, N = 25SE +/- 9852.43, N = 20SE +/- 8183.20, N = 5554537.00760189.00773590.00767117.00582151.00733327.00741680.92738032.001. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread
Defaultmitigations=offOpenBenchmarking.orgMessages Per Second, More Is BetterSockperf 3.4Test: ThroughputIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake130K260K390K520K650KMin: 547029 / Avg: 554537.4 / Max: 560837Min: 748459 / Avg: 760189.2 / Max: 775769Min: 728113 / Avg: 773589.55 / Max: 791678Min: 632628 / Avg: 767116.96 / Max: 801744Min: 559547 / Avg: 582151.4 / Max: 596407Min: 604110 / Avg: 733326.52 / Max: 770422Min: 638589.6 / Avg: 741680.92 / Max: 783438.48Min: 713039 / Avg: 738031.6 / Max: 7521121. (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.

Defaultmitigations=offOpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake11002200330044005500SE +/- 93.22, N = 16SE +/- 39.09, N = 4SE +/- 7.95, N = 4SE +/- 38.95, N = 20SE +/- 45.07, N = 4SE +/- 33.94, N = 5SE +/- 25.57, N = 4SE +/- 50.55, N = 55101.003471.003425.003843.004414.003460.003630.214113.00
Defaultmitigations=offOpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake9001800270036004500Min: 4440 / Avg: 5100.75 / Max: 5737Min: 3381 / Avg: 3471 / Max: 3558Min: 3413 / Avg: 3425 / Max: 3448Min: 3466 / Avg: 3842.7 / Max: 4094Min: 4323 / Avg: 4413.5 / Max: 4537Min: 3367 / Avg: 3459.8 / Max: 3570Min: 3567.71 / Avg: 3630.21 / Max: 3676.04Min: 3939 / Avg: 4113.4 / Max: 4219

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.

Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Twitter HTTP RequestsIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake8001600240032004000SE +/- 45.02, N = 5SE +/- 14.45, N = 5SE +/- 16.33, N = 5SE +/- 10.30, N = 5SE +/- 33.64, N = 25SE +/- 11.73, N = 5SE +/- 18.14, N = 5SE +/- 11.39, N = 53842.162540.392515.072487.373525.292443.832593.012533.81
Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Twitter HTTP RequestsIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake7001400210028003500Min: 3669.4 / Avg: 3842.16 / Max: 3918.64Min: 2516.63 / Avg: 2540.39 / Max: 2596.62Min: 2469.25 / Avg: 2515.07 / Max: 2566.92Min: 2462.06 / Avg: 2487.37 / Max: 2511.52Min: 3285.93 / Avg: 3525.29 / Max: 3843.65Min: 2422.12 / Avg: 2443.83 / Max: 2487.55Min: 2549.81 / Avg: 2593.01 / Max: 2657.71Min: 2511.41 / Avg: 2533.81 / Max: 2569.64

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.

Defaultmitigations=offOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake140K280K420K560K700KSE +/- 5183.16, N = 15SE +/- 4476.17, N = 3SE +/- 3215.23, N = 3SE +/- 4132.54, N = 3SE +/- 12430.05, N = 14SE +/- 4682.82, N = 3SE +/- 4523.41, N = 3SE +/- 6328.07, N = 3674153.00559412.00567661.00564437.00646988.00558600.00581732.99588506.00
Defaultmitigations=offOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake120K240K360K480K600KMin: 611223 / Avg: 674153.2 / Max: 682946Min: 550462 / Avg: 559412 / Max: 564064Min: 561231 / Avg: 567660.67 / Max: 570963Min: 556234 / Avg: 564436.67 / Max: 569416Min: 490679 / Avg: 646987.93 / Max: 677309Min: 549236 / Avg: 558600 / Max: 563434Min: 572692.71 / Avg: 581732.99 / Max: 586551.04Min: 575850 / Avg: 588505.67 / Max: 594929

Defaultmitigations=offOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake110K220K330K440K550KSE +/- 3688.05, N = 3SE +/- 2967.19, N = 3SE +/- 3076.30, N = 3SE +/- 2818.20, N = 3SE +/- 2851.71, N = 3SE +/- 2843.05, N = 3SE +/- 3203.98, N = 3SE +/- 3141.38, N = 3494187.00404421.00409558.00406430.00495179.00403126.00411997.96430449.00
Defaultmitigations=offOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake90K180K270K360K450KMin: 486812 / Avg: 494187.33 / Max: 497967Min: 398487 / Avg: 404421.33 / Max: 407408Min: 403423 / Avg: 409558.33 / Max: 413025Min: 400797 / Avg: 406430 / Max: 409416Min: 489486 / Avg: 495179 / Max: 498324Min: 397450 / Avg: 403126.33 / Max: 406253Min: 405591.84 / Avg: 411997.96 / Max: 415333.67Min: 424167 / Avg: 430448.67 / Max: 433691

Defaultmitigations=offOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake100K200K300K400K500KSE +/- 3093.36, N = 3SE +/- 2976.32, N = 3SE +/- 2667.17, N = 3SE +/- 2509.46, N = 3SE +/- 3375.54, N = 3SE +/- 2493.36, N = 3SE +/- 2912.75, N = 3SE +/- 2832.59, N = 3455175.00369926.00376005.00372045.00456401.00368982.00378435.37394514.00
Defaultmitigations=offOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake80K160K240K320K400KMin: 449010 / Avg: 455175 / Max: 458706Min: 363989 / Avg: 369926 / Max: 373268Min: 370671 / Avg: 376005.33 / Max: 378682Min: 367028 / Avg: 372045 / Max: 374674Min: 449652 / Avg: 456401.33 / Max: 459909Min: 364002 / Avg: 368982.33 / Max: 371691Min: 372629.59 / Avg: 378435.37 / Max: 381753.06Min: 388866 / Avg: 394513.67 / Max: 397723

Defaultmitigations=offOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Ice LakeTGL Linux 5.10TGL ReRun 58Tiger Lake2M4M6M8M10MSE +/- 2473.50, N = 3SE +/- 6529.42, N = 3SE +/- 8367.51, N = 3SE +/- 5564.33, N = 3SE +/- 14703.15, N = 3SE +/- 7453.09, N = 3SE +/- 6570.47, N = 3SE +/- 1537.93, N = 38917553.007349897.007434223.007382540.008905090.007352977.007525608.847765500.00
Defaultmitigations=offOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Ice LakeTGL Linux 5.10TGL ReRun 58Tiger Lake1.5M3M4.5M6M7.5MMin: 8912610 / Avg: 8917553.33 / Max: 8920190Min: 7336890 / Avg: 7349896.67 / Max: 7357410Min: 7421560 / Avg: 7434223.33 / Max: 7450030Min: 7371560 / Avg: 7382540 / Max: 7389600Min: 8875720 / Avg: 8905090 / Max: 8921040Min: 7339060 / Avg: 7352976.67 / Max: 7364560Min: 7512673.47 / Avg: 7525608.84 / Max: 7534081.63Min: 7762510 / Avg: 7765500 / Max: 7767620

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.

Defaultmitigations=offOpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Ice LakeTGL Linux 5.10TGL ReRun 58Tiger Lake1428425670SE +/- 0.96, N = 3SE +/- 0.53, N = 3SE +/- 0.28, N = 3SE +/- 0.29, N = 3SE +/- 0.22, N = 3SE +/- 0.33, N = 3SE +/- 0.56, N = 3SE +/- 0.50, N = 361.2250.8551.0151.2559.9950.6953.1353.141. (CC) gcc options: -O2 -ldl -lz -lpthread
Defaultmitigations=offOpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Ice LakeTGL Linux 5.10TGL ReRun 58Tiger Lake1224364860Min: 60.13 / Avg: 61.21 / Max: 63.13Min: 49.88 / Avg: 50.85 / Max: 51.71Min: 50.45 / Avg: 51.01 / Max: 51.32Min: 50.68 / Avg: 51.25 / Max: 51.58Min: 59.68 / Avg: 59.99 / Max: 60.41Min: 50.03 / Avg: 50.69 / Max: 51.07Min: 52.16 / Avg: 53.13 / Max: 54.11Min: 52.14 / Avg: 53.14 / Max: 53.751. (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.

Defaultmitigations=offOpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake3691215SE +/- 0.15, N = 7SE +/- 0.14, N = 3SE +/- 0.10, N = 8SE +/- 0.11, N = 9SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 6SE +/- 0.12, N = 813.0111.0911.1611.2712.3111.0711.1811.67
Defaultmitigations=offOpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake48121620Min: 12.14 / Avg: 13.01 / Max: 13.22Min: 10.88 / Avg: 11.09 / Max: 11.35Min: 10.66 / Avg: 11.16 / Max: 11.51Min: 10.5 / Avg: 11.27 / Max: 11.81Min: 12.14 / Avg: 12.31 / Max: 12.55Min: 10.91 / Avg: 11.07 / Max: 11.25Min: 10.72 / Avg: 11.18 / Max: 11.5Min: 10.82 / Avg: 11.67 / Max: 11.9

Defaultmitigations=offOpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: unsharp-maskIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake48121620SE +/- 0.21, N = 5SE +/- 0.12, N = 12SE +/- 0.09, N = 15SE +/- 0.13, N = 9SE +/- 0.16, N = 15SE +/- 0.10, N = 12SE +/- 0.14, N = 12SE +/- 0.14, N = 915.7113.3213.4213.3515.7413.3313.4913.99
Defaultmitigations=offOpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: unsharp-maskIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake48121620Min: 14.9 / Avg: 15.71 / Max: 16.09Min: 11.97 / Avg: 13.32 / Max: 13.54Min: 12.27 / Avg: 13.41 / Max: 13.79Min: 12.31 / Avg: 13.34 / Max: 13.64Min: 14.19 / Avg: 15.74 / Max: 16.73Min: 12.27 / Avg: 13.33 / Max: 13.61Min: 12.13 / Avg: 13.49 / Max: 14.2Min: 12.96 / Avg: 13.99 / Max: 14.32

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.

Defaultmitigations=offOpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Ice LakeTGL Linux 5.10TGL ReRun 58Tiger Lake20K40K60K80K100KSE +/- 396.22, N = 3SE +/- 593.84, N = 3SE +/- 380.75, N = 3SE +/- 561.91, N = 3SE +/- 873.74, N = 3SE +/- 455.74, N = 3SE +/- 414.84, N = 3SE +/- 434.17, N = 366912.0084009.0084246.0084931.0064140.0083965.0085939.8089846.001. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Defaultmitigations=offOpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Ice LakeTGL Linux 5.10TGL ReRun 58Tiger Lake16K32K48K64K80KMin: 66145 / Avg: 66912 / Max: 67468Min: 82908 / Avg: 84009.33 / Max: 84945Min: 83485 / Avg: 84246.33 / Max: 84641Min: 83813 / Avg: 84931 / Max: 85589Min: 62393 / Avg: 64139.67 / Max: 65059Min: 83063 / Avg: 83964.67 / Max: 84531Min: 85112.24 / Avg: 85939.8 / Max: 86405.1Min: 88986 / Avg: 89846 / Max: 903801. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Defaultmitigations=offOpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Ice LakeTGL Linux 5.10TGL ReRun 58Tiger Lake50K100K150K200K250KSE +/- 269.90, N = 3SE +/- 553.87, N = 3SE +/- 543.36, N = 3SE +/- 393.32, N = 3SE +/- 739.79, N = 3SE +/- 455.98, N = 3SE +/- 626.06, N = 3SE +/- 351.65, N = 3179934.00213883.00214784.00216420.00176908.00213543.00225830.53226788.001. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Defaultmitigations=offOpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Ice LakeTGL Linux 5.10TGL ReRun 58Tiger Lake40K80K120K160K200KMin: 179544 / Avg: 179933.67 / Max: 180452Min: 212778 / Avg: 213883 / Max: 214503Min: 213736 / Avg: 214784 / Max: 215557Min: 215784 / Avg: 216420.33 / Max: 217139Min: 175487 / Avg: 176908.33 / Max: 177975Min: 212644 / Avg: 213543.33 / Max: 214124Min: 224590.53 / Avg: 225830.53 / Max: 226601.05Min: 226174 / Avg: 226788.33 / Max: 2273921. (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.

Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Ice LakeTGL Linux 5.10TGL ReRun 58Tiger Lake1530456075SE +/- 0.34, N = 3SE +/- 0.09, N = 3SE +/- 0.19, N = 3SE +/- 0.05, N = 3SE +/- 0.20, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 366.5953.8153.9554.5463.4453.2056.1057.671. (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
Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Ice LakeTGL Linux 5.10TGL ReRun 58Tiger Lake1326395265Min: 66.23 / Avg: 66.59 / Max: 67.27Min: 53.63 / Avg: 53.81 / Max: 53.91Min: 53.69 / Avg: 53.95 / Max: 54.32Min: 54.48 / Avg: 54.54 / Max: 54.64Min: 63.08 / Avg: 63.44 / Max: 63.77Min: 53.03 / Avg: 53.2 / Max: 53.29Min: 56.03 / Avg: 56.1 / Max: 56.15Min: 57.47 / Avg: 57.67 / Max: 57.771. (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

Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Ice LakeTGL Linux 5.10TGL ReRun 58Tiger Lake20406080100SE +/- 0.50, N = 3SE +/- 0.29, N = 3SE +/- 0.17, N = 3SE +/- 0.11, N = 3SE +/- 0.72, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 380.4867.7067.6768.2977.0366.2570.1273.121. (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
Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Ice LakeTGL Linux 5.10TGL ReRun 58Tiger Lake1530456075Min: 79.93 / Avg: 80.48 / Max: 81.47Min: 67.2 / Avg: 67.7 / Max: 68.21Min: 67.33 / Avg: 67.67 / Max: 67.89Min: 68.09 / Avg: 68.29 / Max: 68.46Min: 75.75 / Avg: 77.03 / Max: 78.25Min: 66.17 / Avg: 66.25 / Max: 66.32Min: 70.05 / Avg: 70.12 / Max: 70.17Min: 73.04 / Avg: 73.12 / Max: 73.171. (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.

Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Ice LakeTGL Linux 5.10TGL ReRun 58Tiger Lake20406080100SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 1.31, N = 4SE +/- 0.23, N = 3SE +/- 0.14, N = 3SE +/- 0.19, N = 380.6869.8270.4271.0475.5970.1172.6475.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Ice LakeTGL Linux 5.10TGL ReRun 58Tiger Lake1530456075Min: 80.55 / Avg: 80.68 / Max: 80.9Min: 69.73 / Avg: 69.82 / Max: 69.92Min: 70.37 / Avg: 70.42 / Max: 70.51Min: 70.81 / Avg: 71.04 / Max: 71.22Min: 72.81 / Avg: 75.59 / Max: 79.13Min: 69.69 / Avg: 70.11 / Max: 70.5Min: 72.37 / Avg: 72.64 / Max: 72.81Min: 75.69 / Avg: 75.98 / Max: 76.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Ice LakeTGL Linux 5.10TGL ReRun 58Tiger Lake612182430SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.51, N = 4SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 325.0221.1521.2121.3024.3321.2021.9323.201. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Ice LakeTGL Linux 5.10TGL ReRun 58Tiger Lake612182430Min: 24.98 / Avg: 25.02 / Max: 25.1Min: 21.12 / Avg: 21.15 / Max: 21.19Min: 21.16 / Avg: 21.21 / Max: 21.26Min: 21.22 / Avg: 21.3 / Max: 21.34Min: 22.83 / Avg: 24.33 / Max: 24.98Min: 21.14 / Avg: 21.2 / Max: 21.27Min: 21.9 / Avg: 21.93 / Max: 21.98Min: 23.16 / Avg: 23.2 / Max: 23.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake510152025SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.38, N = 4SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 322.0518.4718.6018.6421.4718.5719.2120.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake510152025Min: 22.02 / Avg: 22.05 / Max: 22.09Min: 18.42 / Avg: 18.47 / Max: 18.51Min: 18.6 / Avg: 18.6 / Max: 18.6Min: 18.62 / Avg: 18.64 / Max: 18.67Min: 20.79 / Avg: 21.47 / Max: 22.19Min: 18.46 / Avg: 18.57 / Max: 18.71Min: 19.16 / Avg: 19.21 / Max: 19.29Min: 20.03 / Avg: 20.15 / Max: 20.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake1122334455SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.19, N = 3SE +/- 0.64, N = 4SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 347.5539.8940.0240.4446.8340.2941.2843.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake1020304050Min: 47.5 / Avg: 47.55 / Max: 47.62Min: 39.8 / Avg: 39.89 / Max: 40Min: 39.94 / Avg: 40.02 / Max: 40.1Min: 40.2 / Avg: 40.44 / Max: 40.82Min: 44.94 / Avg: 46.83 / Max: 47.67Min: 39.97 / Avg: 40.29 / Max: 40.47Min: 41.15 / Avg: 41.28 / Max: 41.43Min: 43.7 / Avg: 43.82 / Max: 43.941. (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.

Defaultmitigations=offOpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake3M6M9M12M15MSE +/- 123171.35, N = 15SE +/- 228211.34, N = 3SE +/- 113483.52, N = 12SE +/- 224908.53, N = 3SE +/- 208149.62, N = 15SE +/- 127649.37, N = 9SE +/- 120229.46, N = 10SE +/- 150814.30, N = 312925515.0016151167.0015871303.0015791136.0013732080.0015900784.0015589035.7115304072.001. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
Defaultmitigations=offOpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake3M6M9M12M15MMin: 12559704 / Avg: 12925515.33 / Max: 14496776Min: 15921602 / Avg: 16151167 / Max: 16607587Min: 15526225 / Avg: 15871303.33 / Max: 16896316Min: 15437905 / Avg: 15791135.67 / Max: 16208941Min: 13179330 / Avg: 13732079.87 / Max: 16527585Min: 15518998 / Avg: 15900783.67 / Max: 16777546Min: 15215149.74 / Avg: 15589035.71 / Max: 16591164.8Min: 15125634 / Avg: 15304072.33 / Max: 156038971. (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.

Defaultmitigations=offOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake48121620SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.15, N = 5SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.19, N = 3SE +/- 0.17, N = 3SE +/- 0.15, N = 316.8013.9013.7013.9016.1013.9014.2614.20
Defaultmitigations=offOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake48121620Min: 16.6 / Avg: 16.77 / Max: 16.9Min: 13.6 / Avg: 13.93 / Max: 14.1Min: 13.1 / Avg: 13.7 / Max: 13.9Min: 13.7 / Avg: 13.87 / Max: 14Min: 16.1 / Avg: 16.13 / Max: 16.2Min: 13.5 / Avg: 13.87 / Max: 14.1Min: 13.92 / Avg: 14.26 / Max: 14.43Min: 13.9 / Avg: 14.2 / Max: 14.4

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.

Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake2004006008001000SE +/- 1.20, N = 3SE +/- 2.10, N = 3SE +/- 2.62, N = 3SE +/- 1.35, N = 3SE +/- 1.72, N = 3SE +/- 2.55, N = 3SE +/- 1.19, N = 3SE +/- 0.73, N = 3830.701004.101005.70671.90752.70886.90938.67610.501. Ice Lake: firefox 82.02. TGL Linux 5.10: firefox 83.03. TGL ReRun 58: firefox 83.04. Tiger Lake: firefox 81.0.2
Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake2004006008001000Min: 828.3 / Avg: 830.67 / Max: 832.2Min: 1000.8 / Avg: 1004.13 / Max: 1008Min: 1000.5 / Avg: 1005.73 / Max: 1008.4Min: 670.2 / Avg: 671.93 / Max: 674.6Min: 749.5 / Avg: 752.67 / Max: 755.4Min: 882 / Avg: 886.87 / Max: 890.6Min: 936.53 / Avg: 938.67 / Max: 940.63Min: 609.2 / Avg: 610.53 / Max: 611.71. Ice Lake: firefox 82.02. TGL Linux 5.10: firefox 83.03. TGL ReRun 58: firefox 83.04. Tiger Lake: firefox 81.0.2

Defaultmitigations=offOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: FirefoxIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake70140210280350SE +/- 0.88, N = 3SE +/- 1.00, N = 2SE +/- 1.53, N = 3SE +/- 0.58, N = 3SE +/- 2.03, N = 3SE +/- 0.33, N = 32412682672882642962922991. Ice Lake: firefox 82.02. TGL Linux 5.10: firefox 83.03. TGL ReRun 58: firefox 83.04. Tiger Lake: firefox 81.0.2
Defaultmitigations=offOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: FirefoxIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake50100150200250Min: 239 / Avg: 240.67 / Max: 242Min: 287 / Avg: 288 / Max: 289Min: 261 / Avg: 264 / Max: 266Min: 295 / Avg: 296 / Max: 297Min: 289 / Avg: 292.33 / Max: 296Min: 299 / Avg: 299.33 / Max: 3001. Ice Lake: firefox 82.02. TGL Linux 5.10: firefox 83.03. TGL ReRun 58: firefox 83.04. Tiger Lake: firefox 81.0.2

Defaultmitigations=offOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake306090120150SE +/- 0.36, N = 3SE +/- 0.14, N = 3SE +/- 0.76, N = 3SE +/- 0.86, N = 3SE +/- 0.55, N = 3SE +/- 0.42, N = 3SE +/- 1.14, N = 3SE +/- 1.47, N = 591.6587.3586.92108.4299.7296.2993.32115.081. Ice Lake: firefox 82.02. TGL Linux 5.10: firefox 83.03. TGL ReRun 58: firefox 83.04. Tiger Lake: firefox 81.0.2
Defaultmitigations=offOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake20406080100Min: 90.93 / Avg: 91.65 / Max: 92.03Min: 87.18 / Avg: 87.35 / Max: 87.62Min: 85.79 / Avg: 86.92 / Max: 88.36Min: 106.71 / Avg: 108.42 / Max: 109.4Min: 98.68 / Avg: 99.72 / Max: 100.58Min: 95.67 / Avg: 96.29 / Max: 97.1Min: 91.89 / Avg: 93.32 / Max: 95.57Min: 112.24 / Avg: 115.08 / Max: 119.731. Ice Lake: firefox 82.02. TGL Linux 5.10: firefox 83.03. TGL ReRun 58: firefox 83.04. Tiger Lake: firefox 81.0.2

Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake510152025SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 3SE +/- 0.04, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.14, N = 319.7616.1616.1916.6019.7716.0717.8017.321. Ice Lake: chrome 86.0.4240.1112. TGL Linux 5.10: chrome 87.0.4280.883. TGL ReRun 58: chrome 87.0.4280.884. Tiger Lake: chrome 86.0.4240.111
Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake510152025Min: 19.71 / Avg: 19.76 / Max: 19.8Min: 16.04 / Avg: 16.16 / Max: 16.31Min: 15.97 / Avg: 16.19 / Max: 16.39Min: 16.35 / Avg: 16.6 / Max: 16.74Min: 19.7 / Avg: 19.77 / Max: 19.82Min: 15.83 / Avg: 16.07 / Max: 16.32Min: 17.65 / Avg: 17.8 / Max: 17.88Min: 17.05 / Avg: 17.32 / Max: 17.531. Ice Lake: chrome 86.0.4240.1112. TGL Linux 5.10: chrome 87.0.4280.883. TGL ReRun 58: chrome 87.0.4280.884. Tiger Lake: chrome 86.0.4240.111

Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake2004006008001000SE +/- 2.47, N = 3SE +/- 3.01, N = 3SE +/- 1.95, N = 3SE +/- 1.55, N = 3SE +/- 3.34, N = 3SE +/- 4.40, N = 3SE +/- 1.46, N = 3SE +/- 9.46, N = 3799.30656.80661.70668.20806.00678.00680.40701.801. Ice Lake: chrome 86.0.4240.1112. TGL Linux 5.10: chrome 87.0.4280.883. TGL ReRun 58: chrome 87.0.4280.884. Tiger Lake: chrome 86.0.4240.111
Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake140280420560700Min: 796.3 / Avg: 799.3 / Max: 804.2Min: 651.7 / Avg: 656.77 / Max: 662.1Min: 658 / Avg: 661.73 / Max: 664.6Min: 665.8 / Avg: 668.23 / Max: 671.1Min: 799.3 / Avg: 805.97 / Max: 809.6Min: 671.3 / Avg: 678 / Max: 686.3Min: 677.78 / Avg: 680.4 / Max: 682.83Min: 688.4 / Avg: 701.83 / Max: 720.11. Ice Lake: chrome 86.0.4240.1112. TGL Linux 5.10: chrome 87.0.4280.883. TGL ReRun 58: chrome 87.0.4280.884. Tiger Lake: chrome 86.0.4240.111

Defaultmitigations=offOpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: Google ChromeIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake13K26K39K52K65KSE +/- 67.56, N = 3SE +/- 780.90, N = 3SE +/- 422.22, N = 13SE +/- 1033.11, N = 3SE +/- 159.67, N = 3SE +/- 817.53, N = 3SE +/- 605.64, N = 5SE +/- 745.81, N = 553717623046136961608536356240557008582351. Ice Lake: chrome 86.0.4240.1112. TGL Linux 5.10: chrome 87.0.4280.883. TGL ReRun 58: chrome 87.0.4280.884. Tiger Lake: chrome 86.0.4240.111
Defaultmitigations=offOpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: Google ChromeIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake11K22K33K44K55KMin: 53599 / Avg: 53717 / Max: 53833Min: 61247 / Avg: 62303.67 / Max: 63828Min: 60078 / Avg: 61369.08 / Max: 65040Min: 60493 / Avg: 61608 / Max: 63672Min: 53316 / Avg: 53635.33 / Max: 53797Min: 61157 / Avg: 62405.33 / Max: 63944Min: 56278 / Avg: 57008.4 / Max: 59419Min: 57022 / Avg: 58234.6 / Max: 611041. Ice Lake: chrome 86.0.4240.1112. TGL Linux 5.10: chrome 87.0.4280.883. TGL ReRun 58: chrome 87.0.4280.884. Tiger Lake: chrome 86.0.4240.111

Defaultmitigations=offOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: Google ChromeIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake60120180240300SE +/- 2.08, N = 3SE +/- 2.08, N = 3SE +/- 2.91, N = 3SE +/- 0.58, N = 3SE +/- 3.06, N = 3SE +/- 1.86, N = 3SE +/- 1.00, N = 32252782792812272772532691. Ice Lake: chrome 86.0.4240.1112. TGL Linux 5.10: chrome 87.0.4280.883. TGL ReRun 58: chrome 87.0.4280.884. Tiger Lake: chrome 86.0.4240.111
Defaultmitigations=offOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: Google ChromeIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake50100150200250Min: 222 / Avg: 225 / Max: 229Min: 275 / Avg: 278 / Max: 282Min: 274 / Avg: 278.67 / Max: 284Min: 280 / Avg: 281 / Max: 282Min: 273 / Avg: 277 / Max: 283Min: 251 / Avg: 253.33 / Max: 257Min: 267 / Avg: 269 / Max: 2701. Ice Lake: chrome 86.0.4240.1112. TGL Linux 5.10: chrome 87.0.4280.883. TGL ReRun 58: chrome 87.0.4280.884. Tiger Lake: chrome 86.0.4240.111

Defaultmitigations=offOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream - Browser: Google ChromeIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake60120180240300SE +/- 0.87, N = 3SE +/- 0.43, N = 3SE +/- 0.22, N = 3SE +/- 1.20, N = 3SE +/- 0.84, N = 3SE +/- 0.18, N = 3SE +/- 0.75, N = 3SE +/- 0.73, N = 3242.78292.24289.93289.55250.94292.30272.25276.881. Ice Lake: chrome 86.0.4240.1112. TGL Linux 5.10: chrome 87.0.4280.883. TGL ReRun 58: chrome 87.0.4280.884. Tiger Lake: chrome 86.0.4240.111
Defaultmitigations=offOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream - Browser: Google ChromeIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake50100150200250Min: 241.09 / Avg: 242.78 / Max: 243.96Min: 291.51 / Avg: 292.24 / Max: 293Min: 289.58 / Avg: 289.93 / Max: 290.34Min: 287.69 / Avg: 289.55 / Max: 291.79Min: 250.08 / Avg: 250.94 / Max: 252.63Min: 292.05 / Avg: 292.3 / Max: 292.66Min: 271.15 / Avg: 272.25 / Max: 273.7Min: 275.97 / Avg: 276.88 / Max: 278.321. Ice Lake: chrome 86.0.4240.1112. TGL Linux 5.10: chrome 87.0.4280.883. TGL ReRun 58: chrome 87.0.4280.884. Tiger Lake: chrome 86.0.4240.111

Defaultmitigations=offOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: Google ChromeIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake5K10K15K20K25KSE +/- 144.97, N = 9SE +/- 209.48, N = 3SE +/- 254.54, N = 4SE +/- 200.87, N = 12SE +/- 107.22, N = 3SE +/- 293.33, N = 3SE +/- 145.83, N = 3SE +/- 151.73, N = 1014994212372048517698151492101019667168641. Ice Lake: chrome 86.0.4240.1112. TGL Linux 5.10: chrome 87.0.4280.883. TGL ReRun 58: chrome 87.0.4280.884. Tiger Lake: chrome 86.0.4240.111
Defaultmitigations=offOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: Google ChromeIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake4K8K12K16K20KMin: 14456 / Avg: 14994.22 / Max: 15839Min: 20973 / Avg: 21237.33 / Max: 21651Min: 19806 / Avg: 20484.5 / Max: 20972Min: 16711 / Avg: 17697.67 / Max: 18599Min: 14949 / Avg: 15149 / Max: 15316Min: 20423 / Avg: 21009.67 / Max: 21304Min: 19376 / Avg: 19667.33 / Max: 19825Min: 16357 / Avg: 16863.5 / Max: 176401. Ice Lake: chrome 86.0.4240.1112. TGL Linux 5.10: chrome 87.0.4280.883. TGL ReRun 58: chrome 87.0.4280.884. Tiger Lake: chrome 86.0.4240.111

Defaultmitigations=offOpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google ChromeIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake1020304050SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 333.5042.9042.6039.6034.0043.0039.5838.501. Ice Lake: chrome 86.0.4240.1112. TGL Linux 5.10: chrome 87.0.4280.883. TGL ReRun 58: chrome 87.0.4280.884. Tiger Lake: chrome 86.0.4240.111
Defaultmitigations=offOpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google ChromeIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake918273645Min: 33.2 / Avg: 33.47 / Max: 33.6Min: 42.8 / Avg: 42.93 / Max: 43.2Min: 42.4 / Avg: 42.57 / Max: 42.8Min: 39.4 / Avg: 39.6 / Max: 39.8Min: 33.9 / Avg: 33.97 / Max: 34Min: 42.8 / Avg: 42.97 / Max: 43.1Min: 39.38 / Avg: 39.58 / Max: 39.77Min: 38.4 / Avg: 38.47 / Max: 38.51. Ice Lake: chrome 86.0.4240.1112. TGL Linux 5.10: chrome 87.0.4280.883. TGL ReRun 58: chrome 87.0.4280.884. Tiger Lake: chrome 86.0.4240.111

Defaultmitigations=offOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake4080120160200SE +/- 0.40, N = 3SE +/- 0.37, N = 3SE +/- 2.37, N = 3SE +/- 0.51, N = 3SE +/- 0.64, N = 3SE +/- 1.14, N = 3SE +/- 0.42, N = 3SE +/- 0.72, N = 3138.44164.69165.15165.91140.15166.77153.71158.471. Ice Lake: chrome 86.0.4240.1112. TGL Linux 5.10: chrome 87.0.4280.883. TGL ReRun 58: chrome 87.0.4280.884. Tiger Lake: chrome 86.0.4240.111
Defaultmitigations=offOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake306090120150Min: 137.95 / Avg: 138.44 / Max: 139.23Min: 164.31 / Avg: 164.69 / Max: 165.42Min: 162.52 / Avg: 165.15 / Max: 169.89Min: 164.92 / Avg: 165.91 / Max: 166.63Min: 139.07 / Avg: 140.15 / Max: 141.28Min: 164.57 / Avg: 166.77 / Max: 168.42Min: 152.94 / Avg: 153.71 / Max: 154.37Min: 157.29 / Avg: 158.47 / Max: 159.781. Ice Lake: chrome 86.0.4240.1112. TGL Linux 5.10: chrome 87.0.4280.883. TGL ReRun 58: chrome 87.0.4280.884. Tiger Lake: chrome 86.0.4240.111

Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromeIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake816243240SE +/- 0.34, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.25, N = 332.6228.6128.7028.2632.6128.2929.3829.301. Ice Lake: chrome 86.0.4240.1112. TGL Linux 5.10: chrome 87.0.4280.883. TGL ReRun 58: chrome 87.0.4280.884. Tiger Lake: chrome 86.0.4240.111
Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromeIce LakeTGL Linux 5.10TGL ReRun 58Tiger Lake714212835Min: 32.01 / Avg: 32.62 / Max: 33.19Min: 28.55 / Avg: 28.61 / Max: 28.65Min: 28.64 / Avg: 28.7 / Max: 28.8Min: 28.13 / Avg: 28.26 / Max: 28.46Min: 32.44 / Avg: 32.61 / Max: 32.75Min: 28.18 / Avg: 28.29 / Max: 28.37Min: 29.27 / Avg: 29.38 / Max: 29.6Min: 29.05 / Avg: 29.3 / Max: 29.791. Ice Lake: chrome 86.0.4240.1112. TGL Linux 5.10: chrome 87.0.4280.883. TGL ReRun 58: chrome 87.0.4280.884. Tiger Lake: chrome 86.0.4240.111