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.

HTML result view exported from: https://openbenchmarking.org/result/2012136-HA-MITIGATIO92&sor.

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

Test: Throughput

TGL ReRun 58Tiger LakeTGL Linux 5.10Ice LakeOpenBenchmarking.orgMessages Per Second, More Is BetterSockperf 3.4Test: ThroughputDefaultmitigations=off170K340K510K680K850KSE +/- 5771.94, N = 11SE +/- 9852.43, N = 20SE +/- 9040.07, N = 25SE +/- 8183.20, N = 5SE +/- 5678.70, N = 5SE +/- 6828.62, N = 25SE +/- 6985.56, N = 5SE +/- 2421.79, N = 5773590.00741680.92767117.00738032.00760189.00733327.00582151.00554537.001. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

DaCapo Benchmark

Java Test: Jython

TGL ReRun 58TGL Linux 5.10Tiger LakeIce LakeOpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonDefaultmitigations=off11002200330044005500SE +/- 7.95, N = 4SE +/- 25.57, N = 4SE +/- 33.94, N = 5SE +/- 39.09, N = 4SE +/- 38.95, N = 20SE +/- 50.55, N = 5SE +/- 45.07, N = 4SE +/- 93.22, N = 163425.003630.213460.003471.003843.004113.004414.005101.00

Renaissance

Test: Twitter HTTP Requests

TGL Linux 5.10Tiger LakeTGL ReRun 58Ice LakeOpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Twitter HTTP Requestsmitigations=offDefault8001600240032004000SE +/- 11.73, N = 5SE +/- 14.45, N = 5SE +/- 10.30, N = 5SE +/- 11.39, N = 5SE +/- 16.33, N = 5SE +/- 18.14, N = 5SE +/- 33.64, N = 25SE +/- 45.02, N = 52443.832540.392487.372533.812515.072593.013525.293842.16

TensorFlow Lite

Model: SqueezeNet

TGL Linux 5.10Tiger LakeTGL ReRun 58Ice LakeOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetmitigations=offDefault140K280K420K560K700KSE +/- 4682.82, N = 3SE +/- 4476.17, N = 3SE +/- 4132.54, N = 3SE +/- 6328.07, N = 3SE +/- 3215.23, N = 3SE +/- 4523.41, N = 3SE +/- 12430.05, N = 14SE +/- 5183.16, N = 15558600.00559412.00564437.00588506.00567661.00581732.99646988.00674153.00

TensorFlow Lite

Model: NASNet Mobile

TGL Linux 5.10Tiger LakeTGL ReRun 58Ice LakeOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet Mobilemitigations=offDefault110K220K330K440K550KSE +/- 2843.05, N = 3SE +/- 2967.19, N = 3SE +/- 2818.20, N = 3SE +/- 3141.38, N = 3SE +/- 3076.30, N = 3SE +/- 3203.98, N = 3SE +/- 3688.05, N = 3SE +/- 2851.71, N = 3403126.00404421.00406430.00430449.00409558.00411997.96494187.00495179.00

TensorFlow Lite

Model: Mobilenet Quant

TGL Linux 5.10Tiger LakeTGL ReRun 58Ice LakeOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Quantmitigations=offDefault100K200K300K400K500KSE +/- 2493.36, N = 3SE +/- 2976.32, N = 3SE +/- 2509.46, N = 3SE +/- 2832.59, N = 3SE +/- 2667.17, N = 3SE +/- 2912.75, N = 3SE +/- 3093.36, N = 3SE +/- 3375.54, N = 3368982.00369926.00372045.00394514.00376005.00378435.37455175.00456401.00

TensorFlow Lite

Model: Inception ResNet V2

TGL Linux 5.10Tiger LakeTGL ReRun 58Ice LakeOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Defaultmitigations=off2M4M6M8M10MSE +/- 6529.42, N = 3SE +/- 7453.09, N = 3SE +/- 5564.33, N = 3SE +/- 1537.93, N = 3SE +/- 8367.51, N = 3SE +/- 6570.47, N = 3SE +/- 14703.15, N = 3SE +/- 2473.50, N = 37349897.007352977.007382540.007765500.007434223.007525608.848905090.008917553.00

SQLite Speedtest

Timed Time - Size 1,000

TGL Linux 5.10TGL ReRun 58Tiger LakeIce LakeOpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000mitigations=offDefault1428425670SE +/- 0.33, N = 3SE +/- 0.53, N = 3SE +/- 0.28, N = 3SE +/- 0.56, N = 3SE +/- 0.29, N = 3SE +/- 0.50, N = 3SE +/- 0.22, N = 3SE +/- 0.96, N = 350.6950.8551.0153.1351.2553.1459.9961.221. (CC) gcc options: -O2 -ldl -lz -lpthread

GIMP

Test: auto-levels

TGL Linux 5.10TGL ReRun 58Tiger LakeIce LakeOpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsmitigations=offDefault3691215SE +/- 0.10, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 8SE +/- 0.11, N = 6SE +/- 0.11, N = 9SE +/- 0.12, N = 8SE +/- 0.12, N = 3SE +/- 0.15, N = 711.0711.0911.1611.1811.2711.6712.3113.01

GIMP

Test: unsharp-mask

TGL Linux 5.10Tiger LakeTGL ReRun 58Ice LakeOpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: unsharp-maskDefaultmitigations=off48121620SE +/- 0.12, N = 12SE +/- 0.10, N = 12SE +/- 0.13, N = 9SE +/- 0.14, N = 9SE +/- 0.09, N = 15SE +/- 0.14, N = 12SE +/- 0.21, N = 5SE +/- 0.16, N = 1513.3213.3313.3513.9913.4213.4915.7115.74

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 100

Ice LakeTGL Linux 5.10TGL ReRun 58Tiger LakeOpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100mitigations=offDefault20K40K60K80K100KSE +/- 873.74, N = 3SE +/- 396.22, N = 3SE +/- 455.74, N = 3SE +/- 593.84, N = 3SE +/- 380.75, N = 3SE +/- 414.84, N = 3SE +/- 561.91, N = 3SE +/- 434.17, N = 364140.0066912.0083965.0084009.0084246.0085939.8084931.0089846.001. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 100

Ice LakeTGL Linux 5.10TGL ReRun 58Tiger LakeOpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100mitigations=offDefault50K100K150K200K250KSE +/- 739.79, N = 3SE +/- 269.90, N = 3SE +/- 455.98, N = 3SE +/- 553.87, N = 3SE +/- 543.36, N = 3SE +/- 626.06, N = 3SE +/- 393.32, N = 3SE +/- 351.65, N = 3176908.00179934.00213543.00213883.00214784.00225830.53216420.00226788.001. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Mobile Neural Network

Model: resnet-v2-50

TGL Linux 5.10TGL ReRun 58Tiger LakeIce LakeOpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50mitigations=offDefault1530456075SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.19, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.20, N = 3SE +/- 0.34, N = 353.2053.8153.9556.1054.5457.6763.4466.591. (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

Mobile Neural Network

Model: inception-v3

TGL Linux 5.10TGL ReRun 58Tiger LakeIce LakeOpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3mitigations=offDefault20406080100SE +/- 0.04, N = 3SE +/- 0.29, N = 3SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.72, N = 3SE +/- 0.50, N = 366.2567.7067.6770.1268.2973.1277.0380.481. (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

NCNN

Target: CPU - Model: vgg16

TGL Linux 5.10TGL ReRun 58Tiger LakeIce LakeOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Defaultmitigations=off20406080100SE +/- 0.06, N = 3SE +/- 0.23, N = 3SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.12, N = 3SE +/- 0.19, N = 3SE +/- 1.31, N = 4SE +/- 0.11, N = 369.8270.1170.4272.6471.0475.9875.5980.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

TGL Linux 5.10TGL ReRun 58Tiger LakeIce LakeOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Defaultmitigations=off612182430SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.51, N = 4SE +/- 0.04, N = 321.1521.2021.2121.9321.3023.2024.3325.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

TGL Linux 5.10TGL ReRun 58Tiger LakeIce LakeOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetDefaultmitigations=off510152025SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.38, N = 4SE +/- 0.02, N = 318.4718.5718.6019.2118.6420.1521.4722.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

TGL Linux 5.10TGL ReRun 58Tiger LakeIce LakeOpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyDefaultmitigations=off1122334455SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.19, N = 3SE +/- 0.07, N = 3SE +/- 0.64, N = 4SE +/- 0.04, N = 339.8940.2940.0241.2840.4443.8246.8347.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Facebook RocksDB

Test: Random Read

TGL Linux 5.10TGL ReRun 58Tiger LakeIce LakeOpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadDefaultmitigations=off3M6M9M12M15MSE +/- 228211.34, N = 3SE +/- 127649.37, N = 9SE +/- 113483.52, N = 12SE +/- 120229.46, N = 10SE +/- 224908.53, N = 3SE +/- 150814.30, N = 3SE +/- 208149.62, N = 15SE +/- 123171.35, N = 1516151167.0015900784.0015871303.0015589035.7115791136.0015304072.0013732080.0012925515.001. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

PyPerformance

Benchmark: pathlib

TGL ReRun 58Tiger LakeTGL Linux 5.10Ice LakeOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibDefaultmitigations=off48121620SE +/- 0.15, N = 5SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.17, N = 3SE +/- 0.19, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 313.7014.2613.9014.2013.9013.9016.1016.80

Selenium

Benchmark: Kraken - Browser: Firefox

Tiger LakeIce LakeTGL Linux 5.10TGL ReRun 58OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Firefoxmitigations=offDefault2004006008001000SE +/- 0.73, N = 3SE +/- 1.35, N = 3SE +/- 1.72, N = 3SE +/- 1.20, N = 3SE +/- 2.55, N = 3SE +/- 2.10, N = 3SE +/- 1.19, N = 3SE +/- 2.62, N = 3610.50671.90752.70830.70886.901004.10938.671005.701. firefox 83.0

Selenium

Benchmark: WebXPRT - Browser: Firefox

Tiger LakeTGL Linux 5.10TGL ReRun 58Ice LakeOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: Firefoxmitigations=offDefault70140210280350SE +/- 0.33, N = 3SE +/- 1.00, N = 2SE +/- 0.58, N = 3SE +/- 2.03, N = 3SE +/- 1.53, N = 3SE +/- 0.88, N = 32992882962682922672642411. firefox 82.0

Selenium

Benchmark: Jetstream 2 - Browser: Firefox

Tiger LakeIce LakeTGL Linux 5.10TGL ReRun 58OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Firefoxmitigations=offDefault306090120150SE +/- 1.47, N = 5SE +/- 0.86, N = 3SE +/- 0.55, N = 3SE +/- 0.36, N = 3SE +/- 0.42, N = 3SE +/- 0.14, N = 3SE +/- 1.14, N = 3SE +/- 0.76, N = 3115.08108.4299.7291.6596.2987.3593.3286.921. firefox 83.0

Selenium

Benchmark: ARES-6 - Browser: Google Chrome

TGL Linux 5.10TGL ReRun 58Tiger LakeIce LakeOpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google Chromemitigations=offDefault510152025SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 316.0716.1616.1917.8016.6017.3219.7619.771. chrome 86.0.4240.111

Selenium

Benchmark: Kraken - Browser: Google Chrome

TGL Linux 5.10TGL ReRun 58Tiger LakeIce LakeOpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeDefaultmitigations=off2004006008001000SE +/- 3.01, N = 3SE +/- 4.40, N = 3SE +/- 1.95, N = 3SE +/- 1.46, N = 3SE +/- 1.55, N = 3SE +/- 9.46, N = 3SE +/- 2.47, N = 3SE +/- 3.34, N = 3656.80678.00661.70680.40668.20701.80799.30806.001. chrome 86.0.4240.111

Selenium

Benchmark: Octane - Browser: Google Chrome

TGL Linux 5.10Tiger LakeTGL ReRun 58Ice LakeOpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: Google Chromemitigations=offDefault13K26K39K52K65KSE +/- 817.53, N = 3SE +/- 780.90, N = 3SE +/- 1033.11, N = 3SE +/- 745.81, N = 5SE +/- 422.22, N = 13SE +/- 605.64, N = 5SE +/- 67.56, N = 3SE +/- 159.67, N = 362405623046160858235613695700853717536351. chrome 86.0.4240.111

Selenium

Benchmark: WebXPRT - Browser: Google Chrome

Tiger LakeTGL ReRun 58TGL Linux 5.10Ice LakeOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: Google ChromeDefaultmitigations=off60120180240300SE +/- 0.58, N = 3SE +/- 1.00, N = 3SE +/- 2.91, N = 3SE +/- 1.86, N = 3SE +/- 2.08, N = 3SE +/- 3.06, N = 3SE +/- 2.08, N = 32812692792532782772272251. chrome 86.0.4240.111

Selenium

Benchmark: Jetstream - Browser: Google Chrome

TGL Linux 5.10TGL ReRun 58Tiger LakeIce LakeOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream - Browser: Google Chromemitigations=offDefault60120180240300SE +/- 0.18, N = 3SE +/- 0.43, N = 3SE +/- 0.22, N = 3SE +/- 0.75, N = 3SE +/- 1.20, N = 3SE +/- 0.73, N = 3SE +/- 0.84, N = 3SE +/- 0.87, N = 3292.30292.24289.93272.25289.55276.88250.94242.781. chrome 86.0.4240.111

Selenium

Benchmark: CanvasMark - Browser: Google Chrome

TGL Linux 5.10TGL ReRun 58Tiger LakeIce LakeOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: Google ChromeDefaultmitigations=off5K10K15K20K25KSE +/- 209.48, N = 3SE +/- 293.33, N = 3SE +/- 254.54, N = 4SE +/- 145.83, N = 3SE +/- 200.87, N = 12SE +/- 151.73, N = 10SE +/- 107.22, N = 3SE +/- 144.97, N = 921237210102048519667176981686415149149941. chrome 86.0.4240.111

Selenium

Benchmark: StyleBench - Browser: Google Chrome

TGL Linux 5.10TGL ReRun 58Tiger LakeIce LakeOpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google Chromemitigations=offDefault1020304050SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 343.0042.9042.6039.5839.6038.5034.0033.501. chrome 86.0.4240.111

Selenium

Benchmark: Jetstream 2 - Browser: Google Chrome

TGL Linux 5.10Tiger LakeTGL ReRun 58Ice LakeOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google Chromemitigations=offDefault4080120160200SE +/- 1.14, N = 3SE +/- 0.37, N = 3SE +/- 0.51, N = 3SE +/- 0.72, N = 3SE +/- 2.37, N = 3SE +/- 0.42, N = 3SE +/- 0.64, N = 3SE +/- 0.40, N = 3166.77164.69165.91158.47165.15153.71140.15138.441. chrome 86.0.4240.111

Selenium

Benchmark: WASM imageConvolute - Browser: Google Chrome

Tiger LakeTGL Linux 5.10TGL ReRun 58Ice LakeOpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromeDefaultmitigations=off816243240SE +/- 0.10, N = 3SE +/- 0.25, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.34, N = 328.2629.3028.2928.6128.7029.3832.6132.621. chrome 86.0.4240.111


Phoronix Test Suite v10.8.4