tr-2950x-2021

AMD Ryzen Threadripper 2950X 16-Core testing with a MSI MEG X399 CREATION (MS-7B92) v1.0 (1.30 BIOS) and AMD FirePro V4900 1GB on Debian 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 2101148-HA-TR2950X2063
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tr-2950x-2021 ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution11a23AMD Ryzen Threadripper 2950X 16-Core @ 3.50GHz (16 Cores / 32 Threads)MSI MEG X399 CREATION (MS-7B92) v1.0 (1.30 BIOS)AMD 17h32GBSamsung SSD 970 EVO 250GBAMD FirePro V4900 1GBRealtek ALC1220VA24312 x Intel I211 + Intel-AC 9260Debian 105.8.1-050801-generic (x86_64)GNOME Shell 3.30.2X Server 1.20.4 + Waylandmodesetting 1.20.43.3 Mesa 18.3.6 (LLVM 7.0.1)GCC 8.3.0ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x800820bSecurity Details- 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 Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

tr-2950x-2021 cp2k: Fayalite-FIST Dataclomp: Static OMP Speedupamg: openfoam: Motorbike 30Mqe: AUSURF112lulesh: dav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitrav1e: 1rav1e: 5rav1e: 6rav1e: 10mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3tnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1unpack-firefox: firefox-84.0.source.tar.xz11a231247.76850.7376210300128.7448.71667.126177.4956632.99194.33579.65127.410.3581.0631.4163.23411.13742.4786.4204.09658.908263.187243.67519.2701251.66650.1375761067128.801652.476187.1894626.60193.09578.11127.600.3561.0671.4073.19811.48541.8636.5964.08858.785261.824244.36219.20047.6377180067128.361637.616197.8746630.23192.57578.86127.150.3571.0601.4043.22211.50841.9496.5254.09758.994262.858243.66018.887OpenBenchmarking.org

CP2K Molecular Dynamics

CP2K is an open-source molecular dynamics software package focused on quantum chemistry and solid-state physics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCP2K Molecular Dynamics 8.1Fayalite-FIST Data12300600900120015001247.771251.67

CLOMP

CLOMP is the C version of the Livermore OpenMP benchmark developed to measure OpenMP overheads and other performance impacts due to threading in order to influence future system designs. This particular test profile configuration is currently set to look at the OpenMP static schedule speed-up across all available CPU cores using the recommended test configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup11a231122334455SE +/- 1.76, N = 12SE +/- 0.81, N = 15SE +/- 0.83, N = 15SE +/- 0.22, N = 350.748.750.147.61. (CC) gcc options: -fopenmp -O3 -lm
OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup11a231020304050Min: 37.5 / Avg: 50.73 / Max: 54.5Min: 44.2 / Avg: 48.74 / Max: 54.6Min: 46.7 / Avg: 50.15 / Max: 54.5Min: 47.2 / Avg: 47.63 / Max: 47.91. (CC) gcc options: -fopenmp -O3 -lm

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.212380M160M240M320M400MSE +/- 249858.97, N = 3SE +/- 969559.15, N = 3SE +/- 309335.59, N = 33762103003757610673771800671. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.212370M140M210M280M350MMin: 375821200 / Avg: 376210300 / Max: 376676400Min: 373915700 / Avg: 375761066.67 / Max: 377199600Min: 376585600 / Avg: 377180066.67 / Max: 3776257001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

OpenFOAM

OpenFOAM is the leading free, open source software for computational fluid dynamics (CFD). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30M123306090120150SE +/- 0.51, N = 3SE +/- 0.60, N = 3SE +/- 0.13, N = 3128.74128.80128.361. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30M12320406080100Min: 128.23 / Avg: 128.74 / Max: 129.75Min: 128.08 / Avg: 128.8 / Max: 129.98Min: 128.11 / Avg: 128.36 / Max: 128.531. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

Quantum ESPRESSO

Quantum ESPRESSO is an integrated suite of Open-Source computer codes for electronic-structure calculations and materials modeling at the nanoscale. It is based on density-functional theory, plane waves, and pseudopotentials. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF1121a23400800120016002000SE +/- 3.22, N = 3SE +/- 2.21, N = 3SE +/- 1.52, N = 31667.121652.471637.611. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF1121a2330060090012001500Min: 1660.79 / Avg: 1667.12 / Max: 1671.31Min: 1648.27 / Avg: 1652.47 / Max: 1655.78Min: 1635.92 / Avg: 1637.61 / Max: 1640.641. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

LULESH

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

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.31a2313002600390052006500SE +/- 16.52, N = 3SE +/- 9.42, N = 3SE +/- 14.92, N = 36177.506187.196197.871. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.31a2311002200330044005500Min: 6151.22 / Avg: 6177.5 / Max: 6207.97Min: 6172.62 / Avg: 6187.19 / Max: 6204.83Min: 6176.67 / Avg: 6197.87 / Max: 6226.651. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p1a23140280420560700SE +/- 1.17, N = 3SE +/- 4.73, N = 3SE +/- 0.08, N = 3632.99626.60630.23MIN: 498.41 / MAX: 790.75MIN: 494.99 / MAX: 786.34MIN: 496.38 / MAX: 783.381. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p1a23110220330440550Min: 630.67 / Avg: 632.99 / Max: 634.31Min: 617.28 / Avg: 626.6 / Max: 632.69Min: 630.09 / Avg: 630.23 / Max: 630.381. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K1a234080120160200SE +/- 0.07, N = 3SE +/- 0.17, N = 3SE +/- 0.29, N = 3194.33193.09192.57MIN: 149.13 / MAX: 204.81MIN: 147.71 / MAX: 203.6MIN: 148.08 / MAX: 203.11. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K1a234080120160200Min: 194.2 / Avg: 194.33 / Max: 194.4Min: 192.75 / Avg: 193.09 / Max: 193.27Min: 192.25 / Avg: 192.57 / Max: 193.151. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p1a23130260390520650SE +/- 1.13, N = 3SE +/- 0.86, N = 3SE +/- 0.63, N = 3579.65578.11578.86MIN: 412.42 / MAX: 629.55MIN: 401.01 / MAX: 628.41MIN: 413.33 / MAX: 628.311. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p1a23100200300400500Min: 578.43 / Avg: 579.65 / Max: 581.91Min: 576.42 / Avg: 578.11 / Max: 579.23Min: 578.07 / Avg: 578.86 / Max: 580.11. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit1a23306090120150SE +/- 0.21, N = 3SE +/- 0.20, N = 3SE +/- 0.21, N = 3127.41127.60127.15MIN: 81.74 / MAX: 273.37MIN: 81.69 / MAX: 270.86MIN: 81.59 / MAX: 271.71. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit1a2320406080100Min: 127.02 / Avg: 127.41 / Max: 127.72Min: 127.21 / Avg: 127.6 / Max: 127.88Min: 126.81 / Avg: 127.15 / Max: 127.541. (CC) gcc options: -pthread

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: 11a230.08060.16120.24180.32240.403SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.3580.3560.357
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 11a2312345Min: 0.36 / Avg: 0.36 / Max: 0.36Min: 0.35 / Avg: 0.36 / Max: 0.36Min: 0.36 / Avg: 0.36 / Max: 0.36

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 51a230.24010.48020.72030.96041.2005SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 31.0631.0671.060
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 51a23246810Min: 1.06 / Avg: 1.06 / Max: 1.07Min: 1.06 / Avg: 1.07 / Max: 1.07Min: 1.05 / Avg: 1.06 / Max: 1.07

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 61a230.31860.63720.95581.27441.593SE +/- 0.002, N = 3SE +/- 0.008, N = 3SE +/- 0.005, N = 31.4161.4071.404
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 61a23246810Min: 1.41 / Avg: 1.42 / Max: 1.42Min: 1.39 / Avg: 1.41 / Max: 1.42Min: 1.4 / Avg: 1.4 / Max: 1.41

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 101a230.72771.45542.18312.91083.6385SE +/- 0.015, N = 3SE +/- 0.014, N = 3SE +/- 0.007, N = 33.2343.1983.222
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 101a23246810Min: 3.21 / Avg: 3.23 / Max: 3.25Min: 3.18 / Avg: 3.2 / Max: 3.23Min: 3.21 / Avg: 3.22 / Max: 3.23

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: SqueezeNetV1.01a233691215SE +/- 0.14, N = 5SE +/- 0.02, N = 3SE +/- 0.17, N = 311.1411.4911.51MIN: 10.49 / MAX: 23.51MIN: 11.32 / MAX: 11.98MIN: 11.08 / MAX: 12.851. (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: SqueezeNetV1.01a233691215Min: 10.62 / Avg: 11.14 / Max: 11.39Min: 11.44 / Avg: 11.49 / Max: 11.52Min: 11.2 / Avg: 11.51 / Max: 11.791. (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-v2-501a231020304050SE +/- 0.17, N = 5SE +/- 0.08, N = 3SE +/- 0.33, N = 342.4841.8641.95MIN: 41.36 / MAX: 75.99MIN: 41.3 / MAX: 54.21MIN: 41.16 / MAX: 53.971. (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-v2-501a23918273645Min: 41.83 / Avg: 42.48 / Max: 42.82Min: 41.76 / Avg: 41.86 / Max: 42.01Min: 41.4 / Avg: 41.95 / Max: 42.521. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_2241a23246810SE +/- 0.071, N = 5SE +/- 0.010, N = 3SE +/- 0.092, N = 36.4206.5966.525MIN: 6.22 / MAX: 18.88MIN: 6.51 / MAX: 8.15MIN: 6.3 / MAX: 8.131. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_2241a233691215Min: 6.28 / Avg: 6.42 / Max: 6.65Min: 6.58 / Avg: 6.6 / Max: 6.61Min: 6.36 / Avg: 6.52 / Max: 6.681. (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-v1-1.01a230.92181.84362.76543.68724.609SE +/- 0.034, N = 5SE +/- 0.014, N = 3SE +/- 0.037, N = 34.0964.0884.097MIN: 3.93 / MAX: 4.83MIN: 4.01 / MAX: 4.26MIN: 3.98 / MAX: 4.31. (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-v1-1.01a23246810Min: 3.98 / Avg: 4.1 / Max: 4.18Min: 4.06 / Avg: 4.09 / Max: 4.11Min: 4.02 / Avg: 4.1 / Max: 4.141. (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-v31a231326395265SE +/- 0.42, N = 5SE +/- 0.22, N = 3SE +/- 0.34, N = 358.9158.7958.99MIN: 57.15 / MAX: 72.06MIN: 57.82 / MAX: 71.32MIN: 57.75 / MAX: 70.791. (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-v31a231224364860Min: 57.42 / Avg: 58.91 / Max: 59.78Min: 58.39 / Avg: 58.79 / Max: 59.15Min: 58.38 / Avg: 58.99 / Max: 59.551. (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 v21a2360120180240300SE +/- 0.46, N = 3SE +/- 0.48, N = 3SE +/- 0.35, N = 3263.19261.82262.86MIN: 251.73 / MAX: 279.01MIN: 250.39 / MAX: 275.51MIN: 251.6 / MAX: 277.611. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v21a2350100150200250Min: 262.71 / Avg: 263.19 / Max: 264.11Min: 261.33 / Avg: 261.82 / Max: 262.79Min: 262.5 / Avg: 262.86 / Max: 263.561. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.11a2350100150200250SE +/- 0.36, N = 3SE +/- 0.07, N = 3SE +/- 0.43, N = 3243.68244.36243.66MIN: 243 / MAX: 247.8MIN: 243.59 / MAX: 245.53MIN: 242.7 / MAX: 245.131. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.11a234080120160200Min: 243.19 / Avg: 243.67 / Max: 244.38Min: 244.27 / Avg: 244.36 / Max: 244.51Min: 242.95 / Avg: 243.66 / Max: 244.441. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Unpacking Firefox

This simple test profile measures how long it takes to extract the .tar.xz source package of the Mozilla Firefox Web Browser. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xz1a23510152025SE +/- 0.08, N = 4SE +/- 0.14, N = 4SE +/- 0.04, N = 419.2719.2018.89
OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xz1a23510152025Min: 19.11 / Avg: 19.27 / Max: 19.5Min: 18.99 / Avg: 19.2 / Max: 19.61Min: 18.84 / Avg: 18.89 / Max: 18.99


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