old rav1e 0.4 lappy

Intel Core i7-8550U testing with a Dell 0H0VG3 (1.10.0 BIOS) and Intel UHD 620 3GB on Ubuntu 20.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2101137-HA-OLDRAV1E095
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HPC - High Performance Computing 4 Tests
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January 13 2021
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old rav1e 0.4 lappyProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution1234Intel Core i7-8550U @ 4.00GHz (4 Cores / 8 Threads)Dell 0H0VG3 (1.10.0 BIOS)Intel Xeon E3-1200 v6/7th8GBPM961 NVMe SAMSUNG 256GBIntel UHD 620 3GB (1150MHz)Realtek ALC3271Qualcomm Atheros QCA6174 802.11acUbuntu 20.105.8.0-33-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.6 Mesa 20.2.11.2.145GCC 10.2.0ext41920x1080OpenBenchmarking.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 Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xe0 - Thermald 2.3 Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: vulnerable + mds: Vulnerable; SMT vulnerable + meltdown: Vulnerable + 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: Vulnerable + tsx_async_abort: Not affected

1234Result OverviewPhoronix Test Suite100%101%101%102%103%Mobile Neural NetworkLAMMPS Molecular Dynamics Simulatorrav1eTNNLULESH

old rav1e 0.4 lappylammps: Rhodopsin Proteinlulesh: rav1e: 1rav1e: 5rav1e: 6rav1e: 10mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3tnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.112342.7971175.59220.3150.8931.1772.5898.74650.9775.2265.27366.478358.069336.9302.7671178.12400.3160.9001.1642.5598.69551.6215.3845.30267.724355.693336.5182.7731178.88140.3140.8971.1782.5408.84952.3645.1495.42667.512355.561336.7332.7791176.92270.3170.9021.1482.5979.06953.0035.2565.40567.990355.848336.033OpenBenchmarking.org

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein14320.62931.25861.88792.51723.1465SE +/- 0.011, N = 3SE +/- 0.023, N = 3SE +/- 0.033, N = 3SE +/- 0.017, N = 32.7972.7792.7732.7671. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein1432246810Min: 2.78 / Avg: 2.8 / Max: 2.81Min: 2.73 / Avg: 2.78 / Max: 2.8Min: 2.71 / Avg: 2.77 / Max: 2.82Min: 2.73 / Avg: 2.77 / Max: 2.791. (CXX) g++ options: -O3 -pthread -lm

LULESH

LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3324130060090012001500SE +/- 1.47, N = 3SE +/- 2.98, N = 3SE +/- 1.13, N = 3SE +/- 4.94, N = 31178.881178.121176.921175.591. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.332412004006008001000Min: 1176.67 / Avg: 1178.88 / Max: 1181.66Min: 1173.99 / Avg: 1178.12 / Max: 1183.91Min: 1174.68 / Avg: 1176.92 / Max: 1178.23Min: 1165.73 / Avg: 1175.59 / Max: 1180.851. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 142130.07130.14260.21390.28520.3565SE +/- 0.005, N = 3SE +/- 0.004, N = 4SE +/- 0.003, N = 3SE +/- 0.004, N = 30.3170.3160.3150.314
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1421312345Min: 0.31 / Avg: 0.32 / Max: 0.33Min: 0.31 / Avg: 0.32 / Max: 0.33Min: 0.31 / Avg: 0.32 / Max: 0.32Min: 0.31 / Avg: 0.31 / Max: 0.32

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 542310.2030.4060.6090.8121.015SE +/- 0.010, N = 7SE +/- 0.013, N = 3SE +/- 0.013, N = 3SE +/- 0.012, N = 30.9020.9000.8970.893
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 54231246810Min: 0.88 / Avg: 0.9 / Max: 0.96Min: 0.88 / Avg: 0.9 / Max: 0.92Min: 0.88 / Avg: 0.9 / Max: 0.92Min: 0.87 / Avg: 0.89 / Max: 0.92

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 631240.26510.53020.79531.06041.3255SE +/- 0.008, N = 3SE +/- 0.013, N = 3SE +/- 0.007, N = 3SE +/- 0.010, N = 111.1781.1771.1641.148
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 63124246810Min: 1.17 / Avg: 1.18 / Max: 1.19Min: 1.16 / Avg: 1.18 / Max: 1.2Min: 1.15 / Avg: 1.16 / Max: 1.17Min: 1.1 / Avg: 1.15 / Max: 1.21

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1041230.58431.16861.75292.33722.9215SE +/- 0.026, N = 3SE +/- 0.006, N = 3SE +/- 0.028, N = 7SE +/- 0.008, N = 32.5972.5892.5592.540
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 104123246810Min: 2.55 / Avg: 2.6 / Max: 2.63Min: 2.58 / Avg: 2.59 / Max: 2.6Min: 2.51 / Avg: 2.56 / Max: 2.72Min: 2.52 / Avg: 2.54 / Max: 2.55

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.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: SqueezeNetV1.021343691215SE +/- 0.129, N = 4SE +/- 0.116, N = 5SE +/- 0.081, N = 10SE +/- 0.171, N = 98.6958.7468.8499.069MIN: 7.09 / MAX: 26.93MIN: 7.03 / MAX: 26.98MIN: 7.03 / MAX: 32.37MIN: 7.09 / MAX: 31.861. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: SqueezeNetV1.021343691215Min: 8.31 / Avg: 8.69 / Max: 8.84Min: 8.28 / Avg: 8.75 / Max: 8.9Min: 8.2 / Avg: 8.85 / Max: 9.18Min: 8.29 / Avg: 9.07 / Max: 9.961. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: resnet-v2-5012341224364860SE +/- 0.41, N = 5SE +/- 0.45, N = 4SE +/- 0.18, N = 10SE +/- 0.20, N = 950.9851.6252.3653.00MIN: 48.01 / MAX: 89.85MIN: 47.96 / MAX: 80.81MIN: 47.97 / MAX: 93.91MIN: 48 / MAX: 92.211. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: resnet-v2-5012341122334455Min: 49.98 / Avg: 50.98 / Max: 52Min: 50.3 / Avg: 51.62 / Max: 52.23Min: 50.99 / Avg: 52.36 / Max: 53.08Min: 52.39 / Avg: 53 / Max: 54.341. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_22431421.21142.42283.63424.84566.057SE +/- 0.030, N = 10SE +/- 0.058, N = 5SE +/- 0.061, N = 9SE +/- 0.104, N = 45.1495.2265.2565.384MIN: 4.87 / MAX: 27.76MIN: 4.84 / MAX: 32MIN: 4.84 / MAX: 28.3MIN: 4.89 / MAX: 26.461. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_2243142246810Min: 5.07 / Avg: 5.15 / Max: 5.39Min: 5.09 / Avg: 5.23 / Max: 5.39Min: 5.02 / Avg: 5.26 / Max: 5.49Min: 5.22 / Avg: 5.38 / Max: 5.671. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: mobilenet-v1-1.012431.22092.44183.66274.88366.1045SE +/- 0.092, N = 5SE +/- 0.133, N = 4SE +/- 0.077, N = 9SE +/- 0.091, N = 105.2735.3025.4055.426MIN: 4.66 / MAX: 25.79MIN: 4.64 / MAX: 24.29MIN: 4.66 / MAX: 28.32MIN: 4.66 / MAX: 34.071. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: mobilenet-v1-1.01243246810Min: 4.91 / Avg: 5.27 / Max: 5.42Min: 4.91 / Avg: 5.3 / Max: 5.46Min: 4.94 / Avg: 5.41 / Max: 5.73Min: 4.91 / Avg: 5.43 / Max: 6.11. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: inception-v313241530456075SE +/- 0.52, N = 5SE +/- 0.16, N = 10SE +/- 0.33, N = 4SE +/- 0.24, N = 966.4867.5167.7267.99MIN: 62.03 / MAX: 102.24MIN: 61.67 / MAX: 106.1MIN: 61.68 / MAX: 97.73MIN: 61.73 / MAX: 111.431. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: inception-v313241326395265Min: 65 / Avg: 66.48 / Max: 68.08Min: 66.51 / Avg: 67.51 / Max: 68.11Min: 66.97 / Avg: 67.72 / Max: 68.54Min: 67.02 / Avg: 67.99 / Max: 68.941. (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

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2324180160240320400SE +/- 0.46, N = 3SE +/- 0.29, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 3355.56355.69355.85358.07MIN: 353.7 / MAX: 363.08MIN: 354.37 / MAX: 359.46MIN: 354.34 / MAX: 365.12MIN: 353.64 / MAX: 377.091. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2324160120180240300Min: 354.99 / Avg: 355.56 / Max: 356.46Min: 355.3 / Avg: 355.69 / Max: 356.27Min: 355.72 / Avg: 355.85 / Max: 356.02Min: 357.79 / Avg: 358.07 / Max: 358.231. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1423170140210280350SE +/- 0.13, N = 3SE +/- 0.25, N = 3SE +/- 0.71, N = 3SE +/- 0.99, N = 3336.03336.52336.73336.93MIN: 335.08 / MAX: 342.65MIN: 335.03 / MAX: 347.18MIN: 334.91 / MAX: 345.2MIN: 335.01 / MAX: 345.381. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1423160120180240300Min: 335.81 / Avg: 336.03 / Max: 336.26Min: 336.07 / Avg: 336.52 / Max: 336.93Min: 335.78 / Avg: 336.73 / Max: 338.11Min: 335.78 / Avg: 336.93 / Max: 338.891. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl