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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Web Browsers 1 Tests
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HPC - High Performance Computing 4 Tests
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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
Invert Hiding All Results Option
  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.

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgMessages Per Second, More Is BetterSockperf 3.4Test: ThroughputDefaultmitigations=off170K340K510K680K850KSE +/- 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 = 25554537.00582151.00767117.00738032.00773590.00741680.92760189.00733327.001. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgMessages Per Second, More Is BetterSockperf 3.4Test: ThroughputDefaultmitigations=off130K260K390K520K650KMin: 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: 7704221. (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.

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetDefaultmitigations=off140K280K420K560K700KSE +/- 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 = 3674153.00646988.00564437.00588506.00567661.00581732.99559412.00558600.00
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetDefaultmitigations=off120K240K360K480K600KMin: 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: 563434

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileDefaultmitigations=off110K220K330K440K550KSE +/- 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 = 3494187.00495179.00406430.00430449.00409558.00411997.96404421.00403126.00
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileDefaultmitigations=off90K180K270K360K450KMin: 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: 406253

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantDefaultmitigations=off100K200K300K400K500KSE +/- 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 = 3455175.00456401.00372045.00394514.00376005.00378435.37369926.00368982.00
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantDefaultmitigations=off80K160K240K320K400KMin: 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: 371691

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Defaultmitigations=off2M4M6M8M10MSE +/- 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 = 38917553.008905090.007382540.007765500.007434223.007525608.847349897.007352977.00
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Defaultmitigations=off1.5M3M4.5M6M7.5MMin: 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: 7364560

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.

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Defaultmitigations=off1428425670SE +/- 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 = 361.2259.9951.2553.1451.0153.1350.8550.691. (CC) gcc options: -O2 -ldl -lz -lpthread
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Defaultmitigations=off1224364860Min: 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: 51.071. (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.

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Defaultmitigations=off1530456075SE +/- 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 = 366.5963.4454.5457.6753.9556.1053.8153.20MIN: 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: 70.061. (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
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Defaultmitigations=off1326395265Min: 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: 53.291. (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

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Defaultmitigations=off20406080100SE +/- 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 = 380.4877.0368.2973.1267.6770.1267.7066.25MIN: 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: 87.521. (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
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Defaultmitigations=off1530456075Min: 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: 66.321. (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.

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Defaultmitigations=off20406080100SE +/- 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 = 380.6875.5971.0475.9870.4272.6469.8270.11MIN: 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: 84.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Defaultmitigations=off1530456075Min: 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: 70.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Defaultmitigations=off612182430SE +/- 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 = 325.0224.3321.3023.2021.2121.9321.1521.20MIN: 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: 34.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Defaultmitigations=off612182430Min: 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: 21.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetDefaultmitigations=off510152025SE +/- 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 = 322.0521.4718.6420.1518.6019.2118.4718.57MIN: 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: 25.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetDefaultmitigations=off510152025Min: 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: 18.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyDefaultmitigations=off1122334455SE +/- 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 = 347.5546.8340.4443.8240.0241.2839.8940.29MIN: 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: 52.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyDefaultmitigations=off1020304050Min: 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: 40.471. (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.

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadDefaultmitigations=off3M6M9M12M15MSE +/- 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 = 912925515.0013732080.0015791136.0015304072.0015871303.0015589035.7116151167.0015900784.001. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadDefaultmitigations=off3M6M9M12M15MMin: 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: 167775461. (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.

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibDefaultmitigations=off48121620SE +/- 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 = 316.8016.1013.9014.2013.7014.2613.9013.90
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibDefaultmitigations=off48121620Min: 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: 14.1

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.

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxDefaultmitigations=off2004006008001000SE +/- 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 = 3830.70752.70671.90610.501005.70938.671004.10886.901. firefox 83.0
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxDefaultmitigations=off2004006008001000Min: 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: 890.61. firefox 83.0

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

Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxDefaultmitigations=off306090120150SE +/- 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 = 391.6599.72108.42115.0886.9293.3287.3596.291. firefox 83.0
Ice LakeTiger LakeTGL ReRun 58TGL Linux 5.10OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxDefaultmitigations=off20406080100Min: 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: 97.11. firefox 83.0

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