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: ThroughputTGL ReRun 58Tiger LakeTGL Linux 5.10Ice Lake170K340K510K680K850KSE +/- 5771.94, N = 11SE +/- 9040.07, N = 25SE +/- 5678.70, N = 5SE +/- 2421.79, N = 5SE +/- 9852.43, N = 20SE +/- 8183.20, N = 5SE +/- 6828.62, N = 25SE +/- 6985.56, N = 5773590.00767117.00760189.00554537.00741680.92738032.00733327.00582151.001. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread
Defaultmitigations=offOpenBenchmarking.orgMessages Per Second, More Is BetterSockperf 3.4Test: ThroughputTGL ReRun 58Tiger LakeTGL Linux 5.10Ice Lake130K260K390K520K650KMin: 728113 / Avg: 773589.55 / Max: 791678Min: 632628 / Avg: 767116.96 / Max: 801744Min: 748459 / Avg: 760189.2 / Max: 775769Min: 547029 / Avg: 554537.4 / Max: 560837Min: 638589.6 / Avg: 741680.92 / Max: 783438.48Min: 713039 / Avg: 738031.6 / Max: 752112Min: 604110 / Avg: 733326.52 / Max: 770422Min: 559547 / Avg: 582151.4 / Max: 5964071. (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: JythonTGL ReRun 58TGL Linux 5.10Tiger LakeIce Lake11002200330044005500SE +/- 7.95, N = 4SE +/- 39.09, N = 4SE +/- 38.95, N = 20SE +/- 93.22, N = 16SE +/- 33.94, N = 5SE +/- 25.57, N = 4SE +/- 50.55, N = 5SE +/- 45.07, N = 43425.003471.003843.005101.003460.003630.214113.004414.00
Defaultmitigations=offOpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonTGL ReRun 58TGL Linux 5.10Tiger LakeIce Lake9001800270036004500Min: 3413 / Avg: 3425 / Max: 3448Min: 3381 / Avg: 3471 / Max: 3558Min: 3466 / Avg: 3842.7 / Max: 4094Min: 4440 / Avg: 5100.75 / Max: 5737Min: 3367 / Avg: 3459.8 / Max: 3570Min: 3567.71 / Avg: 3630.21 / Max: 3676.04Min: 3939 / Avg: 4113.4 / Max: 4219Min: 4323 / Avg: 4413.5 / Max: 4537

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.

mitigations=offDefaultOpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Twitter HTTP RequestsTGL Linux 5.10Tiger LakeTGL ReRun 58Ice Lake8001600240032004000SE +/- 11.73, N = 5SE +/- 11.39, N = 5SE +/- 18.14, N = 5SE +/- 33.64, N = 25SE +/- 10.30, N = 5SE +/- 16.33, N = 5SE +/- 14.45, N = 5SE +/- 45.02, N = 52443.832533.812593.013525.292487.372515.072540.393842.16
mitigations=offDefaultOpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Twitter HTTP RequestsTGL Linux 5.10Tiger LakeTGL ReRun 58Ice Lake7001400210028003500Min: 2422.12 / Avg: 2443.83 / Max: 2487.55Min: 2511.41 / Avg: 2533.81 / Max: 2569.64Min: 2549.81 / Avg: 2593.01 / Max: 2657.71Min: 3285.93 / Avg: 3525.29 / Max: 3843.65Min: 2462.06 / Avg: 2487.37 / Max: 2511.52Min: 2469.25 / Avg: 2515.07 / Max: 2566.92Min: 2516.63 / Avg: 2540.39 / Max: 2596.62Min: 3669.4 / Avg: 3842.16 / Max: 3918.64

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.

mitigations=offDefaultOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetTGL Linux 5.10Tiger LakeTGL ReRun 58Ice Lake140K280K420K560K700KSE +/- 4682.82, N = 3SE +/- 4523.41, N = 3SE +/- 6328.07, N = 3SE +/- 12430.05, N = 14SE +/- 4476.17, N = 3SE +/- 4132.54, N = 3SE +/- 3215.23, N = 3SE +/- 5183.16, N = 15558600.00581732.99588506.00646988.00559412.00564437.00567661.00674153.00
mitigations=offDefaultOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetTGL Linux 5.10Tiger LakeTGL ReRun 58Ice Lake120K240K360K480K600KMin: 549236 / Avg: 558600 / Max: 563434Min: 572692.71 / Avg: 581732.99 / Max: 586551.04Min: 575850 / Avg: 588505.67 / Max: 594929Min: 490679 / Avg: 646987.93 / Max: 677309Min: 550462 / Avg: 559412 / Max: 564064Min: 556234 / Avg: 564436.67 / Max: 569416Min: 561231 / Avg: 567660.67 / Max: 570963Min: 611223 / Avg: 674153.2 / Max: 682946

mitigations=offDefaultOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileTGL Linux 5.10Tiger LakeTGL ReRun 58Ice Lake110K220K330K440K550KSE +/- 2843.05, N = 3SE +/- 3203.98, N = 3SE +/- 3141.38, N = 3SE +/- 2851.71, N = 3SE +/- 2967.19, N = 3SE +/- 2818.20, N = 3SE +/- 3076.30, N = 3SE +/- 3688.05, N = 3403126.00411997.96430449.00495179.00404421.00406430.00409558.00494187.00
mitigations=offDefaultOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileTGL Linux 5.10Tiger LakeTGL ReRun 58Ice Lake90K180K270K360K450KMin: 397450 / Avg: 403126.33 / Max: 406253Min: 405591.84 / Avg: 411997.96 / Max: 415333.67Min: 424167 / Avg: 430448.67 / Max: 433691Min: 489486 / Avg: 495179 / Max: 498324Min: 398487 / Avg: 404421.33 / Max: 407408Min: 400797 / Avg: 406430 / Max: 409416Min: 403423 / Avg: 409558.33 / Max: 413025Min: 486812 / Avg: 494187.33 / Max: 497967

mitigations=offDefaultOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantTGL Linux 5.10Tiger LakeTGL ReRun 58Ice Lake100K200K300K400K500KSE +/- 2493.36, N = 3SE +/- 2912.75, N = 3SE +/- 2832.59, N = 3SE +/- 3375.54, N = 3SE +/- 2976.32, N = 3SE +/- 2509.46, N = 3SE +/- 2667.17, N = 3SE +/- 3093.36, N = 3368982.00378435.37394514.00456401.00369926.00372045.00376005.00455175.00
mitigations=offDefaultOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantTGL Linux 5.10Tiger LakeTGL ReRun 58Ice Lake80K160K240K320K400KMin: 364002 / Avg: 368982.33 / Max: 371691Min: 372629.59 / Avg: 378435.37 / Max: 381753.06Min: 388866 / Avg: 394513.67 / Max: 397723Min: 449652 / Avg: 456401.33 / Max: 459909Min: 363989 / Avg: 369926 / Max: 373268Min: 367028 / Avg: 372045 / Max: 374674Min: 370671 / Avg: 376005.33 / Max: 378682Min: 449010 / Avg: 455175 / Max: 458706

Defaultmitigations=offOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2TGL Linux 5.10Tiger LakeTGL ReRun 58Ice Lake2M4M6M8M10MSE +/- 6529.42, N = 3SE +/- 5564.33, N = 3SE +/- 8367.51, N = 3SE +/- 2473.50, N = 3SE +/- 7453.09, N = 3SE +/- 6570.47, N = 3SE +/- 1537.93, N = 3SE +/- 14703.15, N = 37349897.007382540.007434223.008917553.007352977.007525608.847765500.008905090.00
Defaultmitigations=offOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2TGL Linux 5.10Tiger LakeTGL ReRun 58Ice Lake1.5M3M4.5M6M7.5MMin: 7336890 / Avg: 7349896.67 / Max: 7357410Min: 7371560 / Avg: 7382540 / Max: 7389600Min: 7421560 / Avg: 7434223.33 / Max: 7450030Min: 8912610 / Avg: 8917553.33 / Max: 8920190Min: 7339060 / Avg: 7352976.67 / Max: 7364560Min: 7512673.47 / Avg: 7525608.84 / Max: 7534081.63Min: 7762510 / Avg: 7765500 / Max: 7767620Min: 8875720 / Avg: 8905090 / Max: 8921040

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.

mitigations=offDefaultOpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000TGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake1428425670SE +/- 0.33, N = 3SE +/- 0.56, N = 3SE +/- 0.50, N = 3SE +/- 0.22, N = 3SE +/- 0.53, N = 3SE +/- 0.28, N = 3SE +/- 0.29, N = 3SE +/- 0.96, N = 350.6953.1353.1459.9950.8551.0151.2561.221. (CC) gcc options: -O2 -ldl -lz -lpthread
mitigations=offDefaultOpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000TGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake1224364860Min: 50.03 / Avg: 50.69 / Max: 51.07Min: 52.16 / Avg: 53.13 / Max: 54.11Min: 52.14 / Avg: 53.14 / Max: 53.75Min: 59.68 / Avg: 59.99 / Max: 60.41Min: 49.88 / Avg: 50.85 / Max: 51.71Min: 50.45 / Avg: 51.01 / Max: 51.32Min: 50.68 / Avg: 51.25 / Max: 51.58Min: 60.13 / Avg: 61.21 / Max: 63.131. (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.

mitigations=offDefaultOpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsTGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake3691215SE +/- 0.10, N = 3SE +/- 0.11, N = 6SE +/- 0.12, N = 8SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 8SE +/- 0.11, N = 9SE +/- 0.15, N = 711.0711.1811.6712.3111.0911.1611.2713.01
mitigations=offDefaultOpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsTGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake48121620Min: 10.91 / Avg: 11.07 / Max: 11.25Min: 10.72 / Avg: 11.18 / Max: 11.5Min: 10.82 / Avg: 11.67 / Max: 11.9Min: 12.14 / Avg: 12.31 / Max: 12.55Min: 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: 13.01 / Max: 13.22

Defaultmitigations=offOpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: unsharp-maskTGL Linux 5.10Tiger LakeTGL ReRun 58Ice Lake48121620SE +/- 0.12, N = 12SE +/- 0.13, N = 9SE +/- 0.09, N = 15SE +/- 0.21, N = 5SE +/- 0.10, N = 12SE +/- 0.14, N = 12SE +/- 0.14, N = 9SE +/- 0.16, N = 1513.3213.3513.4215.7113.3313.4913.9915.74
Defaultmitigations=offOpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: unsharp-maskTGL Linux 5.10Tiger LakeTGL ReRun 58Ice Lake48121620Min: 11.97 / Avg: 13.32 / Max: 13.54Min: 12.31 / Avg: 13.34 / Max: 13.64Min: 12.27 / Avg: 13.41 / Max: 13.79Min: 14.9 / Avg: 15.71 / Max: 16.09Min: 12.27 / Avg: 13.33 / Max: 13.61Min: 12.13 / Avg: 13.49 / Max: 14.2Min: 12.96 / Avg: 13.99 / Max: 14.32Min: 14.19 / Avg: 15.74 / Max: 16.73

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.

mitigations=offDefaultOpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Ice LakeTGL Linux 5.10TGL ReRun 58Tiger Lake20K40K60K80K100KSE +/- 873.74, N = 3SE +/- 455.74, N = 3SE +/- 414.84, N = 3SE +/- 434.17, N = 3SE +/- 396.22, N = 3SE +/- 593.84, N = 3SE +/- 380.75, N = 3SE +/- 561.91, N = 364140.0083965.0085939.8089846.0066912.0084009.0084246.0084931.001. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
mitigations=offDefaultOpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Ice LakeTGL Linux 5.10TGL ReRun 58Tiger Lake16K32K48K64K80KMin: 62393 / Avg: 64139.67 / Max: 65059Min: 83063 / Avg: 83964.67 / Max: 84531Min: 85112.24 / Avg: 85939.8 / Max: 86405.1Min: 88986 / Avg: 89846 / Max: 90380Min: 66145 / Avg: 66912 / Max: 67468Min: 82908 / Avg: 84009.33 / Max: 84945Min: 83485 / Avg: 84246.33 / Max: 84641Min: 83813 / Avg: 84931 / Max: 855891. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

mitigations=offDefaultOpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Ice LakeTGL Linux 5.10TGL ReRun 58Tiger Lake50K100K150K200K250KSE +/- 739.79, N = 3SE +/- 455.98, N = 3SE +/- 626.06, N = 3SE +/- 351.65, N = 3SE +/- 269.90, N = 3SE +/- 553.87, N = 3SE +/- 543.36, N = 3SE +/- 393.32, N = 3176908.00213543.00225830.53226788.00179934.00213883.00214784.00216420.001. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
mitigations=offDefaultOpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Ice LakeTGL Linux 5.10TGL ReRun 58Tiger Lake40K80K120K160K200KMin: 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: 227392Min: 179544 / Avg: 179933.67 / Max: 180452Min: 212778 / Avg: 213883 / Max: 214503Min: 213736 / Avg: 214784 / Max: 215557Min: 215784 / Avg: 216420.33 / Max: 2171391. (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.

mitigations=offDefaultOpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50TGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake1530456075SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.20, N = 3SE +/- 0.09, N = 3SE +/- 0.19, N = 3SE +/- 0.05, N = 3SE +/- 0.34, N = 353.2056.1057.6763.4453.8153.9554.5466.591. (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
mitigations=offDefaultOpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50TGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake1326395265Min: 53.03 / Avg: 53.2 / Max: 53.29Min: 56.03 / Avg: 56.1 / Max: 56.15Min: 57.47 / Avg: 57.67 / Max: 57.77Min: 63.08 / Avg: 63.44 / Max: 63.77Min: 53.63 / Avg: 53.81 / Max: 53.91Min: 53.69 / Avg: 53.95 / Max: 54.32Min: 54.48 / Avg: 54.54 / Max: 54.64Min: 66.23 / Avg: 66.59 / Max: 67.271. (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

mitigations=offDefaultOpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3TGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake20406080100SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.72, N = 3SE +/- 0.17, N = 3SE +/- 0.29, N = 3SE +/- 0.11, N = 3SE +/- 0.50, N = 366.2570.1273.1277.0367.6767.7068.2980.481. (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
mitigations=offDefaultOpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3TGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake1530456075Min: 66.17 / Avg: 66.25 / Max: 66.32Min: 70.05 / Avg: 70.12 / Max: 70.17Min: 73.04 / Avg: 73.12 / Max: 73.17Min: 75.75 / Avg: 77.03 / Max: 78.25Min: 67.33 / Avg: 67.67 / Max: 67.89Min: 67.2 / Avg: 67.7 / Max: 68.21Min: 68.09 / Avg: 68.29 / Max: 68.46Min: 79.93 / Avg: 80.48 / Max: 81.471. (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: vgg16TGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake20406080100SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.23, N = 3SE +/- 0.14, N = 3SE +/- 1.31, N = 4SE +/- 0.19, N = 369.8270.4271.0480.6870.1172.6475.5975.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16TGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake1530456075Min: 69.73 / Avg: 69.82 / Max: 69.92Min: 70.37 / Avg: 70.42 / Max: 70.51Min: 70.81 / Avg: 71.04 / Max: 71.22Min: 80.55 / Avg: 80.68 / Max: 80.9Min: 69.69 / Avg: 70.11 / Max: 70.5Min: 72.37 / Avg: 72.64 / Max: 72.81Min: 72.81 / Avg: 75.59 / Max: 79.13Min: 75.69 / Avg: 75.98 / Max: 76.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18TGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake612182430SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.51, N = 421.1521.2121.3025.0221.2021.9323.2024.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18TGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake612182430Min: 21.12 / Avg: 21.15 / Max: 21.19Min: 21.16 / Avg: 21.21 / Max: 21.26Min: 21.22 / Avg: 21.3 / Max: 21.34Min: 24.98 / Avg: 25.02 / Max: 25.1Min: 21.14 / Avg: 21.2 / Max: 21.27Min: 21.9 / Avg: 21.93 / Max: 21.98Min: 23.16 / Avg: 23.2 / Max: 23.24Min: 22.83 / Avg: 24.33 / Max: 24.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetTGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake510152025SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.38, N = 418.4718.6018.6422.0518.5719.2120.1521.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetTGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake510152025Min: 18.42 / Avg: 18.47 / Max: 18.51Min: 18.6 / Avg: 18.6 / Max: 18.6Min: 18.62 / Avg: 18.64 / Max: 18.67Min: 22.02 / Avg: 22.05 / Max: 22.09Min: 18.46 / Avg: 18.57 / Max: 18.71Min: 19.16 / Avg: 19.21 / Max: 19.29Min: 20.03 / Avg: 20.15 / Max: 20.25Min: 20.79 / Avg: 21.47 / Max: 22.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyTGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake1122334455SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.19, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.64, N = 439.8940.0240.4447.5540.2941.2843.8246.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyTGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake1020304050Min: 39.8 / Avg: 39.89 / Max: 40Min: 39.94 / Avg: 40.02 / Max: 40.1Min: 40.2 / Avg: 40.44 / Max: 40.82Min: 47.5 / Avg: 47.55 / Max: 47.62Min: 39.97 / Avg: 40.29 / Max: 40.47Min: 41.15 / Avg: 41.28 / Max: 41.43Min: 43.7 / Avg: 43.82 / Max: 43.94Min: 44.94 / Avg: 46.83 / Max: 47.671. (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 ReadTGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake3M6M9M12M15MSE +/- 228211.34, N = 3SE +/- 113483.52, N = 12SE +/- 224908.53, N = 3SE +/- 123171.35, N = 15SE +/- 127649.37, N = 9SE +/- 120229.46, N = 10SE +/- 150814.30, N = 3SE +/- 208149.62, N = 1516151167.0015871303.0015791136.0012925515.0015900784.0015589035.7115304072.0013732080.001. (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 ReadTGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake3M6M9M12M15MMin: 15921602 / Avg: 16151167 / Max: 16607587Min: 15526225 / Avg: 15871303.33 / Max: 16896316Min: 15437905 / Avg: 15791135.67 / Max: 16208941Min: 12559704 / Avg: 12925515.33 / Max: 14496776Min: 15518998 / Avg: 15900783.67 / Max: 16777546Min: 15215149.74 / Avg: 15589035.71 / Max: 16591164.8Min: 15125634 / Avg: 15304072.33 / Max: 15603897Min: 13179330 / Avg: 13732079.87 / Max: 165275851. (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: pathlibTGL ReRun 58Tiger LakeTGL Linux 5.10Ice Lake48121620SE +/- 0.15, N = 5SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.19, N = 3SE +/- 0.15, N = 3SE +/- 0.17, N = 3SE +/- 0.03, N = 313.7013.9013.9016.8013.9014.2014.2616.10
Defaultmitigations=offOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibTGL ReRun 58Tiger LakeTGL Linux 5.10Ice Lake48121620Min: 13.1 / Avg: 13.7 / Max: 13.9Min: 13.7 / Avg: 13.87 / Max: 14Min: 13.6 / Avg: 13.93 / Max: 14.1Min: 16.6 / Avg: 16.77 / Max: 16.9Min: 13.5 / Avg: 13.87 / Max: 14.1Min: 13.9 / Avg: 14.2 / Max: 14.4Min: 13.92 / Avg: 14.26 / Max: 14.43Min: 16.1 / Avg: 16.13 / Max: 16.2

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.

mitigations=offDefaultOpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxTiger LakeIce LakeTGL Linux 5.10TGL ReRun 582004006008001000SE +/- 0.73, N = 3SE +/- 1.72, N = 3SE +/- 2.55, N = 3SE +/- 1.19, N = 3SE +/- 1.35, N = 3SE +/- 1.20, N = 3SE +/- 2.10, N = 3SE +/- 2.62, N = 3610.50752.70886.90938.67671.90830.701004.101005.701. Tiger Lake: firefox 81.0.22. Ice Lake: firefox 82.03. TGL Linux 5.10: firefox 83.04. TGL ReRun 58: firefox 83.0
mitigations=offDefaultOpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxTiger LakeIce LakeTGL Linux 5.10TGL ReRun 582004006008001000Min: 609.2 / Avg: 610.53 / Max: 611.7Min: 749.5 / Avg: 752.67 / Max: 755.4Min: 882 / Avg: 886.87 / Max: 890.6Min: 936.53 / Avg: 938.67 / Max: 940.63Min: 670.2 / Avg: 671.93 / Max: 674.6Min: 828.3 / Avg: 830.67 / Max: 832.2Min: 1000.8 / Avg: 1004.13 / Max: 1008Min: 1000.5 / Avg: 1005.73 / Max: 1008.41. Tiger Lake: firefox 81.0.22. Ice Lake: firefox 82.03. TGL Linux 5.10: firefox 83.04. TGL ReRun 58: firefox 83.0

mitigations=offDefaultOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: FirefoxTiger LakeTGL Linux 5.10TGL ReRun 58Ice Lake70140210280350SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 2.03, N = 3SE +/- 1.53, N = 3SE +/- 1.00, N = 2SE +/- 0.88, N = 32992962922642882682672411. Tiger Lake: firefox 81.0.22. TGL Linux 5.10: firefox 83.03. TGL ReRun 58: firefox 83.04. Ice Lake: firefox 82.0
mitigations=offDefaultOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: FirefoxTiger LakeTGL Linux 5.10TGL ReRun 58Ice Lake50100150200250Min: 299 / Avg: 299.33 / Max: 300Min: 295 / Avg: 296 / Max: 297Min: 289 / Avg: 292.33 / Max: 296Min: 261 / Avg: 264 / Max: 266Min: 287 / Avg: 288 / Max: 289Min: 239 / Avg: 240.67 / Max: 2421. Tiger Lake: firefox 81.0.22. TGL Linux 5.10: firefox 83.03. TGL ReRun 58: firefox 83.04. Ice Lake: firefox 82.0

mitigations=offDefaultOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxTiger LakeIce LakeTGL Linux 5.10TGL ReRun 58306090120150SE +/- 1.47, N = 5SE +/- 0.55, N = 3SE +/- 0.42, N = 3SE +/- 1.14, N = 3SE +/- 0.86, N = 3SE +/- 0.36, N = 3SE +/- 0.14, N = 3SE +/- 0.76, N = 3115.0899.7296.2993.32108.4291.6587.3586.921. Tiger Lake: firefox 81.0.22. Ice Lake: firefox 82.03. TGL Linux 5.10: firefox 83.04. TGL ReRun 58: firefox 83.0
mitigations=offDefaultOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxTiger LakeIce LakeTGL Linux 5.10TGL ReRun 5820406080100Min: 112.24 / Avg: 115.08 / Max: 119.73Min: 98.68 / Avg: 99.72 / Max: 100.58Min: 95.67 / Avg: 96.29 / Max: 97.1Min: 91.89 / Avg: 93.32 / Max: 95.57Min: 106.71 / Avg: 108.42 / Max: 109.4Min: 90.93 / Avg: 91.65 / Max: 92.03Min: 87.18 / Avg: 87.35 / Max: 87.62Min: 85.79 / Avg: 86.92 / Max: 88.361. Tiger Lake: firefox 81.0.22. Ice Lake: firefox 82.03. TGL Linux 5.10: firefox 83.04. TGL ReRun 58: firefox 83.0

mitigations=offDefaultOpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeTGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake510152025SE +/- 0.14, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 316.0717.3217.8019.7716.1616.1916.6019.761. TGL Linux 5.10: chrome 87.0.4280.882. TGL ReRun 58: chrome 87.0.4280.883. Tiger Lake: chrome 86.0.4240.1114. Ice Lake: chrome 86.0.4240.111
mitigations=offDefaultOpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeTGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake510152025Min: 15.83 / Avg: 16.07 / Max: 16.32Min: 17.05 / Avg: 17.32 / Max: 17.53Min: 17.65 / Avg: 17.8 / Max: 17.88Min: 19.7 / Avg: 19.77 / Max: 19.82Min: 16.04 / Avg: 16.16 / Max: 16.31Min: 15.97 / Avg: 16.19 / Max: 16.39Min: 16.35 / Avg: 16.6 / Max: 16.74Min: 19.71 / Avg: 19.76 / Max: 19.81. TGL Linux 5.10: chrome 87.0.4280.882. TGL ReRun 58: chrome 87.0.4280.883. Tiger Lake: chrome 86.0.4240.1114. Ice Lake: chrome 86.0.4240.111

Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeTGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake2004006008001000SE +/- 3.01, N = 3SE +/- 1.95, N = 3SE +/- 1.55, N = 3SE +/- 2.47, N = 3SE +/- 4.40, N = 3SE +/- 1.46, N = 3SE +/- 9.46, N = 3SE +/- 3.34, N = 3656.80661.70668.20799.30678.00680.40701.80806.001. TGL Linux 5.10: chrome 87.0.4280.882. TGL ReRun 58: chrome 87.0.4280.883. Tiger Lake: chrome 86.0.4240.1114. Ice Lake: chrome 86.0.4240.111
Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeTGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake140280420560700Min: 651.7 / Avg: 656.77 / Max: 662.1Min: 658 / Avg: 661.73 / Max: 664.6Min: 665.8 / Avg: 668.23 / Max: 671.1Min: 796.3 / Avg: 799.3 / Max: 804.2Min: 671.3 / Avg: 678 / Max: 686.3Min: 677.78 / Avg: 680.4 / Max: 682.83Min: 688.4 / Avg: 701.83 / Max: 720.1Min: 799.3 / Avg: 805.97 / Max: 809.61. TGL Linux 5.10: chrome 87.0.4280.882. TGL ReRun 58: chrome 87.0.4280.883. Tiger Lake: chrome 86.0.4240.1114. Ice Lake: chrome 86.0.4240.111

mitigations=offDefaultOpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: Google ChromeTGL Linux 5.10Tiger LakeTGL ReRun 58Ice Lake13K26K39K52K65KSE +/- 817.53, N = 3SE +/- 745.81, N = 5SE +/- 605.64, N = 5SE +/- 159.67, N = 3SE +/- 780.90, N = 3SE +/- 1033.11, N = 3SE +/- 422.22, N = 13SE +/- 67.56, N = 362405582355700853635623046160861369537171. TGL Linux 5.10: chrome 87.0.4280.882. Tiger Lake: chrome 86.0.4240.1113. TGL ReRun 58: chrome 87.0.4280.884. Ice Lake: chrome 86.0.4240.111
mitigations=offDefaultOpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: Google ChromeTGL Linux 5.10Tiger LakeTGL ReRun 58Ice Lake11K22K33K44K55KMin: 61157 / Avg: 62405.33 / Max: 63944Min: 57022 / Avg: 58234.6 / Max: 61104Min: 56278 / Avg: 57008.4 / Max: 59419Min: 53316 / Avg: 53635.33 / Max: 53797Min: 61247 / Avg: 62303.67 / Max: 63828Min: 60493 / Avg: 61608 / Max: 63672Min: 60078 / Avg: 61369.08 / Max: 65040Min: 53599 / Avg: 53717 / Max: 538331. TGL Linux 5.10: chrome 87.0.4280.882. Tiger Lake: chrome 86.0.4240.1113. TGL ReRun 58: chrome 87.0.4280.884. Ice Lake: chrome 86.0.4240.111

Defaultmitigations=offOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: Google ChromeTiger LakeTGL ReRun 58TGL Linux 5.10Ice Lake60120180240300SE +/- 0.58, N = 3SE +/- 2.91, N = 3SE +/- 2.08, N = 3SE +/- 2.08, N = 3SE +/- 3.06, N = 3SE +/- 1.00, N = 3SE +/- 1.86, N = 32812792782252772692532271. Tiger Lake: chrome 86.0.4240.1112. TGL ReRun 58: chrome 87.0.4280.883. TGL Linux 5.10: chrome 87.0.4280.884. Ice Lake: chrome 86.0.4240.111
Defaultmitigations=offOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: Google ChromeTiger LakeTGL ReRun 58TGL Linux 5.10Ice Lake50100150200250Min: 280 / Avg: 281 / Max: 282Min: 274 / Avg: 278.67 / Max: 284Min: 275 / Avg: 278 / Max: 282Min: 222 / Avg: 225 / Max: 229Min: 273 / Avg: 277 / Max: 283Min: 267 / Avg: 269 / Max: 270Min: 251 / Avg: 253.33 / Max: 2571. Tiger Lake: chrome 86.0.4240.1112. TGL ReRun 58: chrome 87.0.4280.883. TGL Linux 5.10: chrome 87.0.4280.884. Ice Lake: chrome 86.0.4240.111

mitigations=offDefaultOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream - Browser: Google ChromeTGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake60120180240300SE +/- 0.18, N = 3SE +/- 0.73, N = 3SE +/- 0.75, N = 3SE +/- 0.84, N = 3SE +/- 0.43, N = 3SE +/- 0.22, N = 3SE +/- 1.20, N = 3SE +/- 0.87, N = 3292.30276.88272.25250.94292.24289.93289.55242.781. TGL Linux 5.10: chrome 87.0.4280.882. TGL ReRun 58: chrome 87.0.4280.883. Tiger Lake: chrome 86.0.4240.1114. Ice Lake: chrome 86.0.4240.111
mitigations=offDefaultOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream - Browser: Google ChromeTGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake50100150200250Min: 292.05 / Avg: 292.3 / Max: 292.66Min: 275.97 / Avg: 276.88 / Max: 278.32Min: 271.15 / Avg: 272.25 / Max: 273.7Min: 250.08 / Avg: 250.94 / Max: 252.63Min: 291.51 / Avg: 292.24 / Max: 293Min: 289.58 / Avg: 289.93 / Max: 290.34Min: 287.69 / Avg: 289.55 / Max: 291.79Min: 241.09 / Avg: 242.78 / Max: 243.961. TGL Linux 5.10: chrome 87.0.4280.882. TGL ReRun 58: chrome 87.0.4280.883. Tiger Lake: chrome 86.0.4240.1114. Ice Lake: chrome 86.0.4240.111

Defaultmitigations=offOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: Google ChromeTGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake5K10K15K20K25KSE +/- 209.48, N = 3SE +/- 254.54, N = 4SE +/- 200.87, N = 12SE +/- 144.97, N = 9SE +/- 293.33, N = 3SE +/- 145.83, N = 3SE +/- 151.73, N = 10SE +/- 107.22, N = 321237204851769814994210101966716864151491. TGL Linux 5.10: chrome 87.0.4280.882. TGL ReRun 58: chrome 87.0.4280.883. Tiger Lake: chrome 86.0.4240.1114. Ice Lake: chrome 86.0.4240.111
Defaultmitigations=offOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: Google ChromeTGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake4K8K12K16K20KMin: 20973 / Avg: 21237.33 / Max: 21651Min: 19806 / Avg: 20484.5 / Max: 20972Min: 16711 / Avg: 17697.67 / Max: 18599Min: 14456 / Avg: 14994.22 / Max: 15839Min: 20423 / Avg: 21009.67 / Max: 21304Min: 19376 / Avg: 19667.33 / Max: 19825Min: 16357 / Avg: 16863.5 / Max: 17640Min: 14949 / Avg: 15149 / Max: 153161. TGL Linux 5.10: chrome 87.0.4280.882. TGL ReRun 58: chrome 87.0.4280.883. Tiger Lake: chrome 86.0.4240.1114. Ice Lake: chrome 86.0.4240.111

mitigations=offDefaultOpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google ChromeTGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake1020304050SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 343.0039.5838.5034.0042.9042.6039.6033.501. TGL Linux 5.10: chrome 87.0.4280.882. TGL ReRun 58: chrome 87.0.4280.883. Tiger Lake: chrome 86.0.4240.1114. Ice Lake: chrome 86.0.4240.111
mitigations=offDefaultOpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google ChromeTGL Linux 5.10TGL ReRun 58Tiger LakeIce Lake918273645Min: 42.8 / Avg: 42.97 / Max: 43.1Min: 39.38 / Avg: 39.58 / Max: 39.77Min: 38.4 / Avg: 38.47 / Max: 38.5Min: 33.9 / Avg: 33.97 / Max: 34Min: 42.8 / Avg: 42.93 / Max: 43.2Min: 42.4 / Avg: 42.57 / Max: 42.8Min: 39.4 / Avg: 39.6 / Max: 39.8Min: 33.2 / Avg: 33.47 / Max: 33.61. TGL Linux 5.10: chrome 87.0.4280.882. TGL ReRun 58: chrome 87.0.4280.883. Tiger Lake: chrome 86.0.4240.1114. Ice Lake: chrome 86.0.4240.111

mitigations=offDefaultOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeTGL Linux 5.10Tiger LakeTGL ReRun 58Ice Lake4080120160200SE +/- 1.14, N = 3SE +/- 0.72, N = 3SE +/- 0.42, N = 3SE +/- 0.64, N = 3SE +/- 0.51, N = 3SE +/- 2.37, N = 3SE +/- 0.37, N = 3SE +/- 0.40, N = 3166.77158.47153.71140.15165.91165.15164.69138.441. TGL Linux 5.10: chrome 87.0.4280.882. Tiger Lake: chrome 86.0.4240.1113. TGL ReRun 58: chrome 87.0.4280.884. Ice Lake: chrome 86.0.4240.111
mitigations=offDefaultOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeTGL Linux 5.10Tiger LakeTGL ReRun 58Ice Lake306090120150Min: 164.57 / Avg: 166.77 / Max: 168.42Min: 157.29 / Avg: 158.47 / Max: 159.78Min: 152.94 / Avg: 153.71 / Max: 154.37Min: 139.07 / Avg: 140.15 / Max: 141.28Min: 164.92 / Avg: 165.91 / Max: 166.63Min: 162.52 / Avg: 165.15 / Max: 169.89Min: 164.31 / Avg: 164.69 / Max: 165.42Min: 137.95 / Avg: 138.44 / Max: 139.231. TGL Linux 5.10: chrome 87.0.4280.882. Tiger Lake: chrome 86.0.4240.1113. TGL ReRun 58: chrome 87.0.4280.884. Ice Lake: chrome 86.0.4240.111

Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromeTiger LakeTGL Linux 5.10TGL ReRun 58Ice Lake816243240SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.34, N = 3SE +/- 0.06, N = 3SE +/- 0.25, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 328.2628.6128.7032.6228.2929.3029.3832.611. Tiger Lake: chrome 86.0.4240.1112. TGL Linux 5.10: chrome 87.0.4280.883. TGL ReRun 58: chrome 87.0.4280.884. Ice Lake: chrome 86.0.4240.111
Defaultmitigations=offOpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromeTiger LakeTGL Linux 5.10TGL ReRun 58Ice Lake714212835Min: 28.13 / Avg: 28.26 / Max: 28.46Min: 28.55 / Avg: 28.61 / Max: 28.65Min: 28.64 / Avg: 28.7 / Max: 28.8Min: 32.01 / Avg: 32.62 / Max: 33.19Min: 28.18 / Avg: 28.29 / Max: 28.37Min: 29.05 / Avg: 29.3 / Max: 29.79Min: 29.27 / Avg: 29.38 / Max: 29.6Min: 32.44 / Avg: 32.61 / Max: 32.751. Tiger Lake: chrome 86.0.4240.1112. TGL Linux 5.10: chrome 87.0.4280.883. TGL ReRun 58: chrome 87.0.4280.884. Ice Lake: chrome 86.0.4240.111