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/2102245-HA-2012136HA60.

Intel Tiger Lake Mitigation COmparisonProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionOpenCLIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigatedIntel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads)Dell 06CDVY (1.0.9 BIOS)Intel Device 34ef16GBToshiba KBG40ZPZ512G NVMe 512GBIntel Iris Plus G7 3GB (1100MHz)Realtek ALC289Intel Killer Wi-Fi 6 AX1650i 160MHzUbuntu 20.105.8.0-25-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.6 Mesa 20.2.11.2.145GCC 10.2.0ext41920x1200Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads)Dell 0GG9PT (1.0.3 BIOS)Intel Tiger Lake-LPKioxia KBG40ZNS256G NVMe 256GBIntel UHD 3GB (1300MHz)Intel Wi-Fi 6 AX2015.8.0-31-generic (x86_64)5.10.0-051000rc7daily20201213-generic (x86_64) 20201212LENOVO LNVNB161216 (FBCN23WW BIOS)8GB512GB SAMSUNG MZVL2512HCJQ-00BL2Intel Iris Xe 3GB (1300MHz)Realtek ALC287ManjaroLinux 20.2.15.11.1-1-MANJARO (x86_64)GNOME Shell 3.38.3X Server 1.20.10intel4.6 Mesa 20.3.4OpenCL 3.0GCC 10.2.0 + Clang 11.1.01600x900OpenBenchmarking.orgCompiler Details- Ice Lake: Default, Ice Lake: mitigations=off, Tiger Lake: Default, Tiger Lake: mitigations=off, TGL ReRun 58: Default, TGL ReRun 58: mitigations=off, TGL Linux 5.10: Default, TGL Linux 5.10: mitigations=off: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Disk Details- Ice Lake: Default: NONE / errors=remount-ro,relatime,rw- Ice Lake: mitigations=off: NONE / errors=remount-ro,relatime,rw- Tiger Lake: Default: NONE / errors=remount-ro,relatime,rw- Tiger Lake: mitigations=off: NONE / errors=remount-ro,relatime,rw- TGL ReRun 58: Default: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Details- Ice Lake: Default: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x78 - Thermald 2.3- Ice Lake: mitigations=off: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x78 - Thermald 2.3- Tiger Lake: Default: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x60 - Thermald 2.3- Tiger Lake: mitigations=off: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x60 - Thermald 2.3- TGL ReRun 58: Default: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x60 - Thermald 2.3- TGL ReRun 58: mitigations=off: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x60 - Thermald 2.3- TGL Linux 5.10: Default: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x60 - Thermald 2.3- TGL Linux 5.10: mitigations=off: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x60 - Thermald 2.3- my tiger lake, default: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x66 - Thermald 2.4.2- my tiger lake, unmitigated: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x66 - Thermald 2.4.2Java Details- Ice Lake: Default: OpenJDK Runtime Environment (build 11.0.9+10-post-Ubuntu-0ubuntu1)- Ice Lake: mitigations=off: OpenJDK Runtime Environment (build 11.0.9+10-post-Ubuntu-0ubuntu1)- Tiger Lake: Default: OpenJDK Runtime Environment (build 11.0.9+10-post-Ubuntu-0ubuntu1)- Tiger Lake: mitigations=off: OpenJDK Runtime Environment (build 11.0.9+10-post-Ubuntu-0ubuntu1)- TGL ReRun 58: Default: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)- TGL ReRun 58: mitigations=off: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)- TGL Linux 5.10: Default: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)- TGL Linux 5.10: mitigations=off: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)Python Details- Ice Lake: Default: Python 3.8.6- Ice Lake: mitigations=off: Python 3.8.6- Tiger Lake: Default: Python 3.8.6- Tiger Lake: mitigations=off: Python 3.8.6- TGL ReRun 58: Default: Python 3.8.6- TGL ReRun 58: mitigations=off: Python 3.8.6- TGL Linux 5.10: Default: Python 3.8.6- TGL Linux 5.10: mitigations=off: Python 3.8.6- my tiger lake, default: Python 3.9.1- my tiger lake, unmitigated: Python 3.9.1Security Details- Ice Lake: Default: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected - Ice Lake: mitigations=off: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled + srbds: Not affected + tsx_async_abort: Not affected - Tiger Lake: Default: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected - Tiger Lake: mitigations=off: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled + srbds: Not affected + tsx_async_abort: Not affected- TGL ReRun 58: Default: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected - TGL ReRun 58: mitigations=off: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled + srbds: Not affected + tsx_async_abort: Not affected- TGL Linux 5.10: Default: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected - TGL Linux 5.10: mitigations=off: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled + srbds: Not affected + tsx_async_abort: Not affected- my tiger lake, default: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected - my tiger lake, unmitigated: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled + srbds: Not affected + tsx_async_abort: Not affectedKernel Details- my tiger lake, default, my tiger lake, unmitigated: Transparent Huge Pages: madvise

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

Sockperf

Test: Throughput

OpenBenchmarking.orgMessages Per Second, More Is BetterSockperf 3.4Test: ThroughputIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated170K340K510K680K850KSE +/- 2421.79, N = 5SE +/- 6985.56, N = 5SE +/- 9040.07, N = 25SE +/- 8183.20, N = 5SE +/- 5771.94, N = 11SE +/- 9852.43, N = 20SE +/- 5678.70, N = 5SE +/- 6828.62, N = 25SE +/- 2778.53, N = 5SE +/- 3620.61, N = 5554537.00582151.00767117.00738032.00773590.00741680.92760189.00733327.00644502.00636293.001. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

DaCapo Benchmark

Java Test: Jython

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

Renaissance

Test: Twitter HTTP Requests

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

TensorFlow Lite

Model: SqueezeNet

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated140K280K420K560K700KSE +/- 5183.16, N = 15SE +/- 12430.05, N = 14SE +/- 4132.54, N = 3SE +/- 6328.07, N = 3SE +/- 3215.23, N = 3SE +/- 4523.41, N = 3SE +/- 4476.17, N = 3SE +/- 4682.82, N = 3SE +/- 2335.83, N = 3SE +/- 2537.13, N = 3674153.00646988.00564437.00588506.00567661.00581732.99559412.00558600.00395875.00396356.00

TensorFlow Lite

Model: NASNet Mobile

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated110K220K330K440K550KSE +/- 3688.05, N = 3SE +/- 2851.71, N = 3SE +/- 2818.20, N = 3SE +/- 3141.38, N = 3SE +/- 3076.30, N = 3SE +/- 3203.98, N = 3SE +/- 2967.19, N = 3SE +/- 2843.05, N = 3SE +/- 960.49, N = 3SE +/- 1561.84, N = 3494187.00495179.00406430.00430449.00409558.00411997.96404421.00403126.00286649.00289256.00

TensorFlow Lite

Model: Mobilenet Quant

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated100K200K300K400K500KSE +/- 3093.36, N = 3SE +/- 3375.54, N = 3SE +/- 2509.46, N = 3SE +/- 2832.59, N = 3SE +/- 2667.17, N = 3SE +/- 2912.75, N = 3SE +/- 2976.32, N = 3SE +/- 2493.36, N = 3SE +/- 670.99, N = 3SE +/- 677.12, N = 3455175.00456401.00372045.00394514.00376005.00378435.37369926.00368982.00270998.00272762.00

TensorFlow Lite

Model: Inception ResNet V2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Ice Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated2M4M6M8M10MSE +/- 2473.50, N = 3SE +/- 14703.15, N = 3SE +/- 5564.33, N = 3SE +/- 1537.93, N = 3SE +/- 8367.51, N = 3SE +/- 6570.47, N = 3SE +/- 6529.42, N = 3SE +/- 7453.09, N = 3SE +/- 10551.93, N = 3SE +/- 5371.66, N = 38917553.008905090.007382540.007765500.007434223.007525608.847349897.007352977.005231100.005268597.00

SQLite Speedtest

Timed Time - Size 1,000

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Ice Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated1428425670SE +/- 0.96, N = 3SE +/- 0.22, N = 3SE +/- 0.29, N = 3SE +/- 0.50, N = 3SE +/- 0.28, N = 3SE +/- 0.56, N = 3SE +/- 0.53, N = 3SE +/- 0.33, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 361.2259.9951.2553.1451.0153.1350.8550.6949.8949.291. (CC) gcc options: -O2 -ldl -lz -lpthread

GIMP

Test: auto-levels

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

GIMP

Test: unsharp-mask

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

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 100

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

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 100

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

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Ice Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated1530456075SE +/- 0.34, N = 3SE +/- 0.20, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.19, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 366.5963.4454.5457.6753.9556.1053.8153.2035.8936.06MIN: 62.42 / MAX: 109.96MIN: 56.81 / MAX: 91.45MIN: 52.47 / MAX: 71.35MIN: 52.17 / MAX: 88MIN: 51.83 / MAX: 69.79MIN: 52.22 / MAX: 69.59MIN: 51.25 / MAX: 70.06MIN: 34.72 / MAX: 48.94MIN: 35.06 / MAX: 48.881. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Ice Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated20406080100SE +/- 0.50, N = 3SE +/- 0.72, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 0.29, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.31, N = 380.4877.0368.2973.1267.6770.1267.7066.2544.1343.63MIN: 77.49 / MAX: 99.85MIN: 70.4 / MAX: 108.37MIN: 66.59 / MAX: 84.15MIN: 68.33 / MAX: 117.84MIN: 65.82 / MAX: 84.07MIN: 65.66 / MAX: 83.26MIN: 64.97 / MAX: 87.52MIN: 41.39 / MAX: 57.22MIN: 40.55 / MAX: 67.131. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Ice Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated20406080100SE +/- 0.11, N = 3SE +/- 1.31, N = 4SE +/- 0.12, N = 3SE +/- 0.19, N = 3SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.23, N = 3SE +/- 0.24, N = 3SE +/- 0.05, N = 380.6875.5971.0475.9870.4272.6469.8270.1170.4569.68MIN: 76.5 / MAX: 103.41MIN: 70.5 / MAX: 95.89MIN: 67.45 / MAX: 85.82MIN: 71.7 / MAX: 102.99MIN: 66.85 / MAX: 83.65MIN: 66.13 / MAX: 82.99MIN: 65.99 / MAX: 84.04MIN: 69.47 / MAX: 79.89MIN: 68.86 / MAX: 80.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Ice Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated612182430SE +/- 0.04, N = 3SE +/- 0.51, N = 4SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 325.0224.3321.3023.2021.2121.9321.1521.2015.6315.63MIN: 22.42 / MAX: 37.92MIN: 20.42 / MAX: 41.66MIN: 18.47 / MAX: 34.83MIN: 20.27 / MAX: 38MIN: 18.54 / MAX: 23.48MIN: 18.49 / MAX: 32.54MIN: 18.49 / MAX: 34.99MIN: 15.35 / MAX: 17.48MIN: 15.31 / MAX: 17.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated510152025SE +/- 0.02, N = 3SE +/- 0.38, N = 4SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 322.0521.4718.6420.1518.6019.2118.4718.5720.2819.32MIN: 20.64 / MAX: 34.28MIN: 19.64 / MAX: 34.78MIN: 17.18 / MAX: 29.18MIN: 18.45 / MAX: 58.96MIN: 17.18 / MAX: 27.55MIN: 17.18 / MAX: 24.96MIN: 17.14 / MAX: 25.33MIN: 19.88 / MAX: 30.06MIN: 18.89 / MAX: 28.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated1122334455SE +/- 0.04, N = 3SE +/- 0.64, N = 4SE +/- 0.19, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.41, N = 3SE +/- 0.08, N = 347.5546.8340.4443.8240.0241.2839.8940.2929.5829.11MIN: 45.86 / MAX: 62.55MIN: 42.33 / MAX: 59.43MIN: 38.52 / MAX: 52.97MIN: 41.38 / MAX: 88.84MIN: 38.59 / MAX: 48.41MIN: 38.41 / MAX: 50.73MIN: 38.49 / MAX: 52.32MIN: 28.89 / MAX: 32.82MIN: 28.66 / MAX: 31.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Facebook RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated5M10M15M20M25MSE +/- 123171.35, N = 15SE +/- 208149.62, N = 15SE +/- 224908.53, N = 3SE +/- 150814.30, N = 3SE +/- 113483.52, N = 12SE +/- 120229.46, N = 10SE +/- 228211.34, N = 3SE +/- 127649.37, N = 9SE +/- 240154.22, N = 3SE +/- 172073.57, N = 312925515.0013732080.0015791136.0015304072.0015871303.0015589035.7116151167.0015900784.0024236402.0024016638.001. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

PyPerformance

Benchmark: pathlib

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated48121620SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 5SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.19, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 316.8016.1013.9014.2013.7014.2613.9013.9012.8013.00

Selenium

Benchmark: Kraken - Browser: Firefox

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated2004006008001000SE +/- 1.20, N = 3SE +/- 1.72, N = 3SE +/- 1.35, N = 3SE +/- 0.73, N = 3SE +/- 2.62, N = 3SE +/- 1.19, N = 3SE +/- 2.10, N = 3SE +/- 2.55, N = 3SE +/- 5.50, N = 3SE +/- 3.47, N = 3830.70752.70671.90610.501005.70938.671004.10886.90890.00796.801. Ice Lake: Default: firefox 82.02. Ice Lake: mitigations=off: firefox 82.03. Tiger Lake: Default: firefox 81.0.24. Tiger Lake: mitigations=off: firefox 81.0.25. TGL ReRun 58: Default: firefox 83.06. TGL ReRun 58: mitigations=off: firefox 83.07. TGL Linux 5.10: Default: firefox 83.08. TGL Linux 5.10: mitigations=off: firefox 83.09. my tiger lake, default: firefox 86.010. my tiger lake, unmitigated: firefox 86.0

Selenium

Benchmark: WebXPRT - Browser: Firefox

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

Selenium

Benchmark: Jetstream 2 - Browser: Firefox

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxIce Lake: DefaultIce Lake: mitigations=offTiger Lake: DefaultTiger Lake: mitigations=offTGL ReRun 58: DefaultTGL ReRun 58: mitigations=offTGL Linux 5.10: DefaultTGL Linux 5.10: mitigations=offmy tiger lake, defaultmy tiger lake, unmitigated306090120150SE +/- 0.36, N = 3SE +/- 0.55, N = 3SE +/- 0.86, N = 3SE +/- 1.47, N = 5SE +/- 0.76, N = 3SE +/- 1.14, N = 3SE +/- 0.14, N = 3SE +/- 0.42, N = 3SE +/- 1.19, N = 4SE +/- 0.55, N = 391.6599.72108.42115.0886.9293.3287.3596.2997.48106.771. Ice Lake: Default: firefox 82.02. Ice Lake: mitigations=off: firefox 82.03. Tiger Lake: Default: firefox 81.0.24. Tiger Lake: mitigations=off: firefox 81.0.25. TGL ReRun 58: Default: firefox 83.06. TGL ReRun 58: mitigations=off: firefox 83.07. TGL Linux 5.10: Default: firefox 83.08. TGL Linux 5.10: mitigations=off: firefox 83.09. my tiger lake, default: firefox 86.010. my tiger lake, unmitigated: firefox 86.0

Selenium

Benchmark: ARES-6 - Browser: Google Chrome

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

Selenium

Benchmark: Kraken - Browser: Google Chrome

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

Selenium

Benchmark: Octane - Browser: Google Chrome

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

Selenium

Benchmark: WebXPRT - Browser: Google Chrome

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

Selenium

Benchmark: Jetstream - Browser: Google Chrome

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

Selenium

Benchmark: CanvasMark - Browser: Google Chrome

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

Selenium

Benchmark: StyleBench - Browser: Google Chrome

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

Selenium

Benchmark: Jetstream 2 - Browser: Google Chrome

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

Selenium

Benchmark: WASM imageConvolute - Browser: Google Chrome

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

GIMP

Test: auto-levels

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.22Test: auto-levelsmy tiger lake, defaultmy tiger lake, unmitigated3691215SE +/- 0.04, N = 3SE +/- 0.04, N = 310.9710.67

GIMP

Test: unsharp-mask

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.22Test: unsharp-maskmy tiger lake, defaultmy tiger lake, unmitigated3691215SE +/- 0.05, N = 3SE +/- 0.03, N = 312.6912.29

Mobile Neural Network

Model: SqueezeNetV1.0

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

Mobile Neural Network

Model: MobileNetV2_224

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

Mobile Neural Network

Model: mobilenet-v1-1.0

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

NCNN

Target: CPU - Model: squeezenet

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

NCNN

Target: CPU - Model: mobilenet

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

NCNN

Target: CPU-v2-v2 - Model: mobilenet-v2

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

NCNN

Target: CPU-v3-v3 - Model: mobilenet-v3

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

NCNN

Target: CPU - Model: shufflenet-v2

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

NCNN

Target: CPU - Model: mnasnet

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

NCNN

Target: CPU - Model: efficientnet-b0

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

NCNN

Target: CPU - Model: blazeface

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

NCNN

Target: CPU - Model: googlenet

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

NCNN

Target: CPU - Model: resnet50

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


Phoronix Test Suite v10.8.4