ncnn 0905

2 x Hygon C86 7280 32-core testing with a Suma R6240H0 62DB32 v24002826 (CXYH051031 BIOS) and ASPEED on Ubuntu 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 2409067-NE-NCNN0905439
Jump To Table - Results

Statistics

Remove Outliers Before Calculating Averages

Graph Settings

Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0
September 06
  20 Hours, 34 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


ncnn 0905OpenBenchmarking.orgPhoronix Test Suite2 x Hygon C86 7280 32-core (64 Cores / 128 Threads)Suma R6240H0 62DB32 v24002826 (CXYH051031 BIOS)Chengdu Haiguang IC Design Root Complex1008GB256GB MR9361-8i + 1920GB MR9361-8i + 12001GB MR9361-8iASPEED2 x Intel I350 + 4 x Mellanox MT27710Ubuntu 24.046.8.0-41-generic (x86_64)GCC 13.2.0ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelCompilerFile-SystemScreen ResolutionNcnn 0905 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 - CPU Microcode: 0x80901047- 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: Mitigation of untrained return thunk; SMT vulnerable + spec_rstack_overflow: Vulnerable: Safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines; IBPB: conditional; STIBP: disabled; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

ncnn 0905ncnn: CPU - FastestDetncnn: CPU - vision_transformerncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPUv2-yolov3v2-yolov3 - mobilenetv2-yolov3ncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenet2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H036.71211.22120.0059.8767.5950.7371.5928.4335.0898.3158.2715.0336.7223.8532.1725.7126.6750.73OpenBenchmarking.org

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: FastestDet2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0816243240SE +/- 1.00, N = 936.71MIN: 32.19 / MAX: 358.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vision_transformer2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H050100150200250SE +/- 3.89, N = 9211.22MIN: 151.15 / MAX: 3455.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: regnety_400m2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0306090120150SE +/- 1.35, N = 9120.00MIN: 112.41 / MAX: 1708.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: squeezenet_ssd2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H01326395265SE +/- 1.44, N = 959.87MIN: 53.94 / MAX: 395.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: yolov4-tiny2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H01530456075SE +/- 0.95, N = 967.59MIN: 57.85 / MAX: 220.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPUv2-yolov3v2-yolov3 - Model: mobilenetv2-yolov32 x Hygon C86 7280 32-core - ASPEED - Suma R6240H01122334455SE +/- 0.95, N = 950.73MIN: 45.83 / MAX: 229.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet502 x Hygon C86 7280 32-core - ASPEED - Suma R6240H01632486480SE +/- 1.36, N = 971.59MIN: 63.49 / MAX: 249.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: alexnet2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0714212835SE +/- 0.33, N = 928.43MIN: 25.25 / MAX: 112.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet182 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0816243240SE +/- 0.68, N = 935.08MIN: 30.67 / MAX: 237.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vgg162 x Hygon C86 7280 32-core - ASPEED - Suma R6240H020406080100SE +/- 2.13, N = 998.31MIN: 72.58 / MAX: 286.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: googlenet2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H01326395265SE +/- 1.21, N = 958.27MIN: 50.1 / MAX: 409.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: blazeface2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H048121620SE +/- 0.20, N = 915.03MIN: 13.48 / MAX: 96.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: efficientnet-b02 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0816243240SE +/- 0.53, N = 936.72MIN: 33.27 / MAX: 59.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mnasnet2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0612182430SE +/- 0.38, N = 923.85MIN: 21.13 / MAX: 204.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: shufflenet-v22 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0714212835SE +/- 0.77, N = 932.17MIN: 29.14 / MAX: 345.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3 - Model: mobilenet-v32 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0612182430SE +/- 0.34, N = 925.71MIN: 23.77 / MAX: 207.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v2-v2 - Model: mobilenet-v22 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0612182430SE +/- 0.34, N = 926.67MIN: 23.41 / MAX: 254.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mobilenet2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H01122334455SE +/- 0.95, N = 950.73MIN: 45.83 / MAX: 229.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread