y-cruncher mnn

AMD Ryzen Threadripper 7980X 64-Cores testing with a System76 Thelio Major (FA Z5 BIOS) and AMD Radeon Pro W7900 45GB on Pop 24.04 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 2408119-PTS-YCRUNCHE39
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y-cruncher mnnOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen Threadripper 7980X 64-Cores @ 5.37GHz (64 Cores / 128 Threads)System76 Thelio Major (FA Z5 BIOS)AMD Device 14a44 x 32GB DDR5-4800MT/s Micron MTC20F1045S1RC48BA21000GB CT1000T700SSD5 + 257GB Flash DriveAMD Radeon Pro W7900 45GBAMD Device 14ccDELL P2415QAquantia AQC113C NBase-T/IEEE + Realtek RTL8125 2.5GbE + Intel Wi-Fi 6EPop 24.046.9.3-76060903-generic (x86_64)COSMIC 0.1.0Wayland4.6 Mesa 24.0.9-0ubuntu0.1 (LLVM 17.0.6 DRM 3.57)GCC 13.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionY-cruncher Mnn BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --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 - Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa108105- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abcResult OverviewPhoronix Test Suite100%100%101%101%Mobile Neural NetworkMobile Neural NetworkMobile Neural NetworkMobile Neural NetworkMobile Neural NetworkMobile Neural NetworkMobile Neural NetworkY-CruncherMobile Neural NetworkY-CrunchermobilenetV3resnet-v2-50SqueezeNetV1.0MobileNetV2_224nasnetinception-v3squeezenetv1.1500Mmobilenet-v1-1.01B

y-cruncher mnnmnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: squeezenetv1.1mnn: mobilenetV3mnn: nasnety-cruncher: 1By-cruncher: 500Mabc28.6263.0373.8385.64410.4484.8382.46116.71410.9075.32428.4833.0383.8525.57410.5374.8382.50816.67410.9115.33828.6363.0403.7955.54810.6324.8582.49016.48410.9155.337OpenBenchmarking.org

Mobile Neural Network

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: inception-v3cba714212835SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 328.6428.4828.63MIN: 27.74 / MAX: 32.54MIN: 27.74 / MAX: 31.77MIN: 27.76 / MAX: 31.721. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: mobilenet-v1-1.0cba0.6841.3682.0522.7363.42SE +/- 0.010, N = 3SE +/- 0.004, N = 3SE +/- 0.028, N = 33.0403.0383.037MIN: 2.76 / MAX: 4.12MIN: 2.78 / MAX: 5.92MIN: 2.73 / MAX: 4.931. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: MobileNetV2_224cba0.86671.73342.60013.46684.3335SE +/- 0.017, N = 3SE +/- 0.011, N = 3SE +/- 0.025, N = 33.7953.8523.838MIN: 3.38 / MAX: 5.22MIN: 3.62 / MAX: 7.46MIN: 3.37 / MAX: 5.291. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: SqueezeNetV1.0cba1.26992.53983.80975.07966.3495SE +/- 0.147, N = 3SE +/- 0.023, N = 3SE +/- 0.077, N = 35.5485.5745.644MIN: 4.83 / MAX: 8.42MIN: 5.22 / MAX: 8.46MIN: 5.23 / MAX: 7.251. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: resnet-v2-50cba3691215SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 310.6310.5410.45MIN: 9.93 / MAX: 13.21MIN: 9.95 / MAX: 12.55MIN: 9.78 / MAX: 12.741. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: squeezenetv1.1cba1.09312.18623.27934.37245.4655SE +/- 0.051, N = 3SE +/- 0.030, N = 3SE +/- 0.052, N = 34.8584.8384.838MIN: 4.45 / MAX: 6.09MIN: 4.49 / MAX: 6.61MIN: 4.45 / MAX: 6.321. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: mobilenetV3cba0.56431.12861.69292.25722.8215SE +/- 0.026, N = 3SE +/- 0.008, N = 3SE +/- 0.014, N = 32.4902.5082.461MIN: 2.26 / MAX: 4.9MIN: 2.3 / MAX: 5.11MIN: 2.25 / MAX: 4.661. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.9.b11b7037dModel: nasnetcba48121620SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 316.4816.6716.71MIN: 14.6 / MAX: 19.5MIN: 15.67 / MAX: 19.26MIN: 15.59 / MAX: 19.431. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -pthread -ldl

Y-Cruncher

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.5Pi Digits To Calculate: 1Bcba3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 310.9210.9110.91

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.5Pi Digits To Calculate: 500Mcba1.20112.40223.60334.80446.0055SE +/- 0.003, N = 3SE +/- 0.017, N = 3SE +/- 0.002, N = 35.3375.3385.324

10 Results Shown

Mobile Neural Network:
  inception-v3
  mobilenet-v1-1.0
  MobileNetV2_224
  SqueezeNetV1.0
  resnet-v2-50
  squeezenetv1.1
  mobilenetV3
  nasnet
Y-Cruncher:
  1B
  500M