Latitude System 1/5 Test

2 x AMD EPYC 9354 32-Core testing with a Supermicro H13DSG-O-CPU v1.10 (1.5 BIOS) and ASPEED 80GB on Ubuntu 22.04 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 2310102-NE-LATITUDES95
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Date
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  Test
  Duration
SYS01 Full Test
October 09 2023
  1 Day, 10 Hours, 44 Minutes
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Latitude System 1/5 TestOpenBenchmarking.orgPhoronix Test Suite2 x AMD EPYC 9354 32-Core @ 3.25GHz (64 Cores / 128 Threads)Supermicro H13DSG-O-CPU v1.10 (1.5 BIOS)AMD Device 14a424 x 64 GB DDR5-4800MT/s HMCG94MEBRA123N4 x 3841GB SAMSUNG MZQL23T8HCLS-00A07ASPEED 80GB (210/1512MHz)2 x Intel X710 for 10GBASE-TUbuntu 22.046.2.0-34-generic (x86_64)GNOME Shell 42.9X Server 1.21.1.4NVIDIA 535.113.014.5 Mesa 23.0.4-0ubuntu1~22.04.1 (LLVM 15.0.7 256 bits)OpenCL 3.0 CUDA 12.2.1461.3.242GCC 11.4.0ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionLatitude System 1/5 Test BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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-build-config=bootstrap-lto-lean --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: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa10113e - BAR1 / Visible vRAM Size: 131072 MiB - vBIOS Version: 92.00.68.00.01- GPU Compute Cores: 6912- Python 3.10.12- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Latitude System 1/5 Testindigobench: OpenCL GPU - Supercarindigobench: OpenCL GPU - Bedroomindigobench: CPU - Supercarindigobench: CPU - Bedroomblender: BMW27 - CPU-Onlyncnn: Vulkan GPU - vision_transformerncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - mobilenetncnn: CPU - efficientnet-b0ncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetcaffe: GoogleNet - CPU - 1000caffe: GoogleNet - CPU - 200caffe: GoogleNet - CPU - 100caffe: AlexNet - CPU - 1000caffe: AlexNet - CPU - 200caffe: AlexNet - CPU - 100gromacs: MPI CPU - water_GMX50_bareviennacl: OpenCL BLAS - dGEMM-TTviennacl: OpenCL BLAS - dGEMM-TNviennacl: OpenCL BLAS - dGEMM-NTviennacl: OpenCL BLAS - dGEMM-NNviennacl: OpenCL BLAS - dGEMV-Tviennacl: OpenCL BLAS - dGEMV-Nviennacl: OpenCL BLAS - dDOTviennacl: OpenCL BLAS - dAXPYviennacl: OpenCL BLAS - dCOPYviennacl: OpenCL BLAS - sDOTviennacl: OpenCL BLAS - sAXPYviennacl: OpenCL BLAS - sCOPYviennacl: CPU BLAS - dGEMM-TTviennacl: CPU BLAS - dGEMM-TNviennacl: CPU BLAS - dGEMM-NTviennacl: CPU BLAS - dGEMM-NNviennacl: CPU BLAS - dGEMV-Tviennacl: CPU BLAS - dGEMV-Nviennacl: CPU BLAS - dDOTviennacl: CPU BLAS - dCOPYviennacl: CPU BLAS - sDOTviennacl: CPU BLAS - sAXPYviennacl: CPU BLAS - sCOPYfinancebench: Black-Scholes OpenCLfinancebench: Monte-Carlo OpenCLfinancebench: Bonds OpenMPfinancebench: Repo OpenMPluxcorerender: Rainbow Colors and Prism - GPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Orange Juice - GPUluxcorerender: Orange Juice - CPUluxcorerender: Danish Mood - GPUluxcorerender: Danish Mood - CPUluxcorerender: DLSC - CPUarrayfire: Conjugate Gradient OpenCLarrayfire: BLAS OpenCLrodinia: OpenCL Particle Filterrodinia: OpenMP Streamclusterrodinia: OpenMP CFD Solverrodinia: OpenMP Leukocyterodinia: OpenMP HotSpot3Drodinia: OpenCL Myocyterodinia: OpenMP LavaMDlczero: OpenCLlczero: Eigenlczero: BLASclpeak: Transfer Bandwidth enqueueWriteBufferclpeak: Transfer Bandwidth enqueueReadBufferclpeak: Single-Precision Computeclpeak: Double-Precision Computeclpeak: Global Memory Bandwidthclpeak: Integer 24-bit Computeclpeak: Integer Computeclpeak: Kernel Latencyfahbench: octanebench: Total Scorevkresample: 2x - Singlenamd-cuda: ATPase Simulation - 327,506 Atomscl-mem: Writecl-mem: Readcl-mem: Copyshoc: OpenCL - Texture Read Bandwidthshoc: OpenCL - Bus Speed Readbackshoc: OpenCL - Bus Speed Downloadshoc: OpenCL - Max SP Flopsshoc: OpenCL - GEMM SGEMM_Nshoc: OpenCL - Reductionshoc: OpenCL - MD5 Hashshoc: OpenCL - FFT SPshoc: OpenCL - Triadshoc: OpenCL - S3Dhashcat: TrueCrypt RIPEMD160 + XTShashcat: SHA-512hashcat: 7-Zipmandelgpu: CPU+GPUncnn: Vulkan GPU - FastestDetncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - googlenetncnn: CPU - FastestDetncnn: CPU - vision_transformerncnn: CPU - yolov4-tinyncnn: CPU - vgg16ncnn: CPU - mnasnetviennacl: CPU BLAS - dAXPYluxcorerender: Rainbow Colors and Prism - CPUluxcorerender: LuxCore Benchmark - GPUluxcorerender: DLSC - GPUarrayfire: Conjugate Gradient CPUarrayfire: BLAS CPUhashcat: SHA1hashcat: MD5vkpeak: SYS01 Full Test49.90322.15330.44913.89020.0457.8954.4534.5125.189.387.4018.0111.8817.4614.1312.8622.9018.0453.5625.3824.289.1814.7026.556.9416.6713.9712.9021.54122139724673912561245374191880463309.624428042374667425724568.443857544122531323311512110511081576.710081790536195013901.090103.25800147810.07031330890.759115254.596.5460.1015.2947.826.5011.152.6119644.253.8366.1738.27737.55474.81329.81735.49756788460787622.3022.3119346.299719.801494.7819300.8419264.195.38263.1210516.5598456.9470.023471402.4796.52351581.6627.124126.862019428.813584.9241.63942.97164438.1126.0715827.5876559100224400666679608167116018825.919.7127.3715.2942.9627.8118.9557.7735.1839.8811.30222724.7339.2376.0525.281337.7198836825000305914100000OpenBenchmarking.org

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: SupercarSYS01 Full Test1122334455SE +/- 0.61, N = 349.90

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: BedroomSYS01 Full Test510152025SE +/- 0.17, N = 322.15

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarSYS01 Full Test714212835SE +/- 0.04, N = 330.45

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomSYS01 Full Test48121620SE +/- 0.03, N = 313.89

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: BMW27 - Compute: CPU-OnlySYS01 Full Test510152025SE +/- 0.02, N = 320.04

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: Vulkan GPU - Model: vision_transformerSYS01 Full Test1326395265SE +/- 0.91, N = 1257.89MIN: 49.87 / MAX: 1053.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: regnety_400mSYS01 Full Test1224364860SE +/- 0.38, N = 1254.45MIN: 51.03 / MAX: 184.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: yolov4-tinySYS01 Full Test816243240SE +/- 0.56, N = 1234.51MIN: 27.91 / MAX: 830.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet50SYS01 Full Test612182430SE +/- 0.35, N = 1225.18MIN: 21.4 / MAX: 379.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: alexnetSYS01 Full Test3691215SE +/- 0.14, N = 129.38MIN: 8.39 / MAX: 147.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: blazefaceSYS01 Full Test246810SE +/- 0.11, N = 127.40MIN: 6.79 / MAX: 170.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: efficientnet-b0SYS01 Full Test48121620SE +/- 0.20, N = 1218.01MIN: 16.34 / MAX: 140.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mnasnetSYS01 Full Test3691215SE +/- 0.14, N = 1211.88MIN: 10.88 / MAX: 131.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: shufflenet-v2SYS01 Full Test48121620SE +/- 0.13, N = 1217.46MIN: 16.33 / MAX: 145.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3SYS01 Full Test48121620SE +/- 0.11, N = 1214.13MIN: 12.31 / MAX: 138.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2SYS01 Full Test3691215SE +/- 0.05, N = 1212.86MIN: 11.91 / MAX: 103.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mobilenetSYS01 Full Test510152025SE +/- 0.32, N = 1222.90MIN: 20.32 / MAX: 166.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: efficientnet-b0SYS01 Full Test48121620SE +/- 0.29, N = 218.04MIN: 17.37 / MAX: 33.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: regnety_400mSYS01 Full Test1224364860SE +/- 0.64, N = 353.56MIN: 50.47 / MAX: 136.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: squeezenet_ssdSYS01 Full Test612182430SE +/- 0.29, N = 325.38MIN: 22.75 / MAX: 117.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet50SYS01 Full Test612182430SE +/- 0.40, N = 324.28MIN: 21.91 / MAX: 253.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: alexnetSYS01 Full Test3691215SE +/- 0.08, N = 39.18MIN: 8.69 / MAX: 77.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet18SYS01 Full Test48121620SE +/- 0.33, N = 314.70MIN: 14.01 / MAX: 172.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: googlenetSYS01 Full Test612182430SE +/- 0.36, N = 326.55MIN: 23.53 / MAX: 140.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: blazefaceSYS01 Full Test246810SE +/- 0.04, N = 36.94MIN: 6.76 / MAX: 8.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: shufflenet-v2SYS01 Full Test48121620SE +/- 0.32, N = 316.67MIN: 15.93 / MAX: 24.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3 - Model: mobilenet-v3SYS01 Full Test48121620SE +/- 0.08, N = 313.97MIN: 13.55 / MAX: 15.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v2-v2 - Model: mobilenet-v2SYS01 Full Test3691215SE +/- 0.09, N = 312.90MIN: 12.19 / MAX: 86.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mobilenetSYS01 Full Test510152025SE +/- 0.12, N = 321.54MIN: 20.26 / MAX: 130.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 1000SYS01 Full Test300K600K900K1200K1500KSE +/- 5008.83, N = 312213971. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200SYS01 Full Test50K100K150K200K250KSE +/- 546.79, N = 32467391. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100SYS01 Full Test30K60K90K120K150KSE +/- 315.86, N = 31256121. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 1000SYS01 Full Test100K200K300K400K500KSE +/- 456.94, N = 34537411. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200SYS01 Full Test20K40K60K80K100KSE +/- 478.91, N = 3918801. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100SYS01 Full Test10K20K30K40K50KSE +/- 43.65, N = 3463301. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_bareSYS01 Full Test3691215SE +/- 0.009, N = 39.6241. (CXX) g++ options: -O3

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TTSYS01 Full Test9001800270036004500SE +/- 0.00, N = 342801. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TNSYS01 Full Test9001800270036004500SE +/- 3.33, N = 342371. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NTSYS01 Full Test10002000300040005000SE +/- 3.33, N = 346671. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NNSYS01 Full Test9001800270036004500SE +/- 3.33, N = 342571. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-TSYS01 Full Test50100150200250SE +/- 0.00, N = 32451. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-NSYS01 Full Test1530456075SE +/- 0.03, N = 368.41. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dDOTSYS01 Full Test90180270360450SE +/- 0.00, N = 34381. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dAXPYSYS01 Full Test120240360480600SE +/- 0.00, N = 35751. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dCOPYSYS01 Full Test100200300400500SE +/- 0.33, N = 34411. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sDOTSYS01 Full Test50100150200250SE +/- 0.00, N = 32251. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sAXPYSYS01 Full Test70140210280350SE +/- 0.00, N = 33131. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sCOPYSYS01 Full Test50100150200250SE +/- 0.00, N = 32331. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TTSYS01 Full Test306090120150SE +/- 0.58, N = 31151. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TNSYS01 Full Test306090120150SE +/- 2.33, N = 31211. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NTSYS01 Full Test20406080100SE +/- 1.76, N = 31051. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NNSYS01 Full Test20406080100SE +/- 2.40, N = 31101. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-TSYS01 Full Test2004006008001000SE +/- 6.17, N = 38151. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-NSYS01 Full Test20406080100SE +/- 1.01, N = 376.71. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dDOTSYS01 Full Test2004006008001000SE +/- 7.57, N = 310081. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dCOPYSYS01 Full Test400800120016002000SE +/- 52.92, N = 317901. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sDOTSYS01 Full Test120240360480600SE +/- 10.40, N = 35361. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sAXPYSYS01 Full Test400800120016002000SE +/- 0.00, N = 319501. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sCOPYSYS01 Full Test30060090012001500SE +/- 0.00, N = 313901. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

FinanceBench

FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU via OpenCL and CPU benchmarking with OpenMP. The FinanceBench test cases are focused on Black-Sholes-Merton Process with Analytic European Option engine, QMC (Sobol) Monte-Carlo method (Equity Option Example), Bonds Fixed-rate bond with flat forward curve, and Repo Securities repurchase agreement. FinanceBench was originally written by the Cavazos Lab at University of Delaware. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Black-Scholes OpenCLSYS01 Full Test0.24530.49060.73590.98121.2265SE +/- 0.007, N = 31.0901. (CXX) g++ options: -O3 -march=native -fopenmp

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Monte-Carlo OpenCLSYS01 Full Test20406080100SE +/- 0.22, N = 3103.261. (CXX) g++ options: -O3 -march=native -fopenmp

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Bonds OpenMPSYS01 Full Test10K20K30K40K50KSE +/- 541.76, N = 347810.071. (CXX) g++ options: -O3 -march=native -fopenmp

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Repo OpenMPSYS01 Full Test7K14K21K28K35KSE +/- 62.00, N = 330890.761. (CXX) g++ options: -O3 -march=native -fopenmp

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: GPUSYS01 Full Test60120180240300SE +/- 2.01, N = 3254.59MIN: 216.89 / MAX: 289.85

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUSYS01 Full Test246810SE +/- 0.04, N = 36.54MIN: 2.32 / MAX: 7.7

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: GPUSYS01 Full Test1326395265SE +/- 0.33, N = 360.10MIN: 52.34 / MAX: 78.16

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUSYS01 Full Test48121620SE +/- 0.11, N = 1515.29MIN: 12.88 / MAX: 19.25

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: GPUSYS01 Full Test1122334455SE +/- 0.58, N = 1547.82MIN: 15.56 / MAX: 66.11

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: CPUSYS01 Full Test246810SE +/- 0.06, N = 36.50MIN: 2.82 / MAX: 7.62

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUSYS01 Full Test3691215SE +/- 0.16, N = 1511.15MIN: 10.28 / MAX: 13.37

ArrayFire

ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient OpenCLSYS01 Full Test0.58751.1751.76252.352.9375SE +/- 0.002, N = 32.6111. (CXX) g++ options: -rdynamic

OpenBenchmarking.orgGFLOPS, More Is BetterArrayFire 3.7Test: BLAS OpenCLSYS01 Full Test2K4K6K8K10KSE +/- 0.39, N = 39644.251. (CXX) g++ options: -rdynamic

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle FilterSYS01 Full Test0.86311.72622.58933.45244.3155SE +/- 0.042, N = 53.8361. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterSYS01 Full Test246810SE +/- 0.020, N = 36.1731. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverSYS01 Full Test246810SE +/- 0.031, N = 38.2771. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteSYS01 Full Test918273645SE +/- 0.31, N = 837.551. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DSYS01 Full Test20406080100SE +/- 0.87, N = 474.811. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL MyocyteSYS01 Full Test714212835SE +/- 0.20, N = 329.821. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDSYS01 Full Test816243240SE +/- 0.06, N = 335.501. (CXX) g++ options: -O2 -lOpenCL

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: OpenCLSYS01 Full Test12002400360048006000SE +/- 76.93, N = 356781. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: EigenSYS01 Full Test2K4K6K8K10KSE +/- 70.63, N = 384601. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLASSYS01 Full Test2K4K6K8K10KSE +/- 96.28, N = 978761. (CXX) g++ options: -flto -pthread

clpeak

Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGBPS, More Is Betterclpeak 1.1.2OpenCL Test: Transfer Bandwidth enqueueWriteBufferSYS01 Full Test510152025SE +/- 0.03, N = 322.301. (CXX) g++ options: -O3

OpenBenchmarking.orgGBPS, More Is Betterclpeak 1.1.2OpenCL Test: Transfer Bandwidth enqueueReadBufferSYS01 Full Test510152025SE +/- 0.04, N = 322.311. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOPS, More Is Betterclpeak 1.1.2OpenCL Test: Single-Precision ComputeSYS01 Full Test4K8K12K16K20KSE +/- 7.61, N = 319346.291. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOPS, More Is Betterclpeak 1.1.2OpenCL Test: Double-Precision ComputeSYS01 Full Test2K4K6K8K10KSE +/- 0.15, N = 39719.801. (CXX) g++ options: -O3

OpenBenchmarking.orgGBPS, More Is Betterclpeak 1.1.2OpenCL Test: Global Memory BandwidthSYS01 Full Test30060090012001500SE +/- 0.20, N = 31494.781. (CXX) g++ options: -O3

OpenBenchmarking.orgGIOPS, More Is Betterclpeak 1.1.2OpenCL Test: Integer 24-bit ComputeSYS01 Full Test4K8K12K16K20KSE +/- 8.76, N = 319300.841. (CXX) g++ options: -O3

OpenBenchmarking.orgGIOPS, More Is Betterclpeak 1.1.2OpenCL Test: Integer ComputeSYS01 Full Test4K8K12K16K20KSE +/- 10.96, N = 319264.191. (CXX) g++ options: -O3

OpenBenchmarking.orgus, Fewer Is Betterclpeak 1.1.2OpenCL Test: Kernel LatencySYS01 Full Test1.21052.4213.63154.8426.0525SE +/- 0.01, N = 35.381. (CXX) g++ options: -O3

FAHBench

FAHBench is a Folding@Home benchmark on the GPU. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2SYS01 Full Test60120180240300SE +/- 0.75, N = 3263.12

OctaneBench

OctaneBench is a test of the OctaneRender on the GPU and requires the use of NVIDIA CUDA. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterOctaneBench 2020.1Total ScoreSYS01 Full Test110220330440550516.56

VkResample

VkResample is a Vulkan-based image upscaling library based on VkFFT. The sample input file is upscaling a 4K image to 8K using Vulkan-based GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleSYS01 Full Test246810SE +/- 0.001, N = 36.9471. (CXX) g++ options: -O3

NAMD CUDA

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. This version of the NAMD test profile uses CUDA GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.14ATPase Simulation - 327,506 AtomsSYS01 Full Test0.00530.01060.01590.02120.0265SE +/- 0.00009, N = 30.02347

cl-mem

A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteSYS01 Full Test30060090012001500SE +/- 0.82, N = 31402.41. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadSYS01 Full Test2004006008001000SE +/- 0.17, N = 3796.51. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopySYS01 Full Test50100150200250SE +/- 0.00, N = 32351. (CC) gcc options: -O2 -flto -lOpenCL

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. SHOC provides a number of different benchmark programs for evaluating the performance and stability of compute devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Texture Read BandwidthSYS01 Full Test30060090012001500SE +/- 0.55, N = 31581.661. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed ReadbackSYS01 Full Test612182430SE +/- 0.00, N = 327.121. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed DownloadSYS01 Full Test612182430SE +/- 0.00, N = 326.861. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Max SP FlopsSYS01 Full Test4K8K12K16K20KSE +/- 1.53, N = 319428.81. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: GEMM SGEMM_NSYS01 Full Test3K6K9K12K15KSE +/- 1.31, N = 313584.91. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: ReductionSYS01 Full Test50100150200250SE +/- 0.03, N = 3241.641. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: MD5 HashSYS01 Full Test1020304050SE +/- 0.00, N = 342.971. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: FFT SPSYS01 Full Test10002000300040005000SE +/- 2.55, N = 34438.111. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: TriadSYS01 Full Test612182430SE +/- 0.02, N = 326.071. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: S3DSYS01 Full Test2004006008001000SE +/- 0.37, N = 3827.591. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

Hashcat

Hashcat is an open-source, advanced password recovery tool supporting GPU acceleration with OpenCL, NVIDIA CUDA, and Radeon ROCm. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSSYS01 Full Test1.4M2.8M4.2M5.6M7MSE +/- 709.46, N = 36559100

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512SYS01 Full Test5000M10000M15000M20000M25000MSE +/- 4139779.92, N = 322440066667

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-ZipSYS01 Full Test2M4M6M8M10MSE +/- 13528.04, N = 39608167

NeatBench

NeatBench is a benchmark of the cross-platform Neat Video software on the CPU and optional GPU (OpenCL / CUDA) support. Learn more via the OpenBenchmarking.org test page.

Acceleration: All

SYS01 Full Test: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

MandelGPU

MandelGPU is an OpenCL benchmark and this test runs with the OpenCL rendering float4 kernel with a maximum of 4096 iterations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSamples/sec, More Is BetterMandelGPU 1.3pts1OpenCL Device: CPU+GPUSYS01 Full Test20M40M60M80M100MSE +/- 3830318.56, N = 15116018825.91. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

FP16: Yes - Mode: Inference - Network: NASNer Large - Device: OpenCL

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCL

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Inference - Network: DenseNet 201 - Device: OpenCL

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Training - Network: NASNer Large - Device: OpenCL

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Training - Network: Inception V3 - Device: OpenCL

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Training - Network: DenseNet 201 - Device: OpenCL

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCL

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Inference - Network: NASNer Large - Device: CPU

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Inference - Network: Inception V3 - Device: CPU

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Inference - Network: IMDB LSTM - Device: OpenCL

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Inference - Network: DenseNet 201 - Device: CPU

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Training - Network: ResNet 50 - Device: OpenCL

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Training - Network: NASNer Large - Device: CPU

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Training - Network: Mobilenet - Device: OpenCL

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Training - Network: Inception V3 - Device: CPU

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Training - Network: IMDB LSTM - Device: OpenCL

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Training - Network: DenseNet 201 - Device: CPU

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Inference - Network: ResNet 50 - Device: CPU

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Inference - Network: Mobilenet - Device: CPU

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Inference - Network: IMDB LSTM - Device: CPU

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Training - Network: ResNet 50 - Device: CPU

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Training - Network: Mobilenet - Device: CPU

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Training - Network: IMDB LSTM - Device: CPU

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Inference - Network: VGG19 - Device: OpenCL

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCL

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Training - Network: VGG19 - Device: OpenCL

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Training - Network: VGG16 - Device: OpenCL

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Inference - Network: VGG19 - Device: CPU

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Inference - Network: VGG16 - Device: CPU

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Training - Network: VGG19 - Device: CPU

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

FP16: Yes - Mode: Training - Network: VGG16 - Device: CPU

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)

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: Vulkan GPU - Model: FastestDetSYS01 Full Test510152025SE +/- 0.47, N = 1219.71MIN: 17.07 / MAX: 611.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: squeezenet_ssdSYS01 Full Test612182430SE +/- 0.48, N = 1227.37MIN: 24.43 / MAX: 139.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet18SYS01 Full Test48121620SE +/- 0.30, N = 1215.29MIN: 13.56 / MAX: 113.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vgg16SYS01 Full Test1020304050SE +/- 0.82, N = 1242.96MIN: 36.28 / MAX: 149.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: googlenetSYS01 Full Test714212835SE +/- 0.50, N = 1227.81MIN: 23.45 / MAX: 137.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: FastestDetSYS01 Full Test510152025SE +/- 0.67, N = 318.95MIN: 17.53 / MAX: 79.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vision_transformerSYS01 Full Test1326395265SE +/- 3.08, N = 357.77MIN: 51.81 / MAX: 962.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: yolov4-tinySYS01 Full Test816243240SE +/- 1.81, N = 335.18MIN: 31.03 / MAX: 125.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vgg16SYS01 Full Test918273645SE +/- 1.57, N = 339.88MIN: 37.18 / MAX: 124.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mnasnetSYS01 Full Test3691215SE +/- 0.42, N = 311.30MIN: 10.51 / MAX: 91.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dAXPYSYS01 Full Test5001000150020002500SE +/- 210.74, N = 322271. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: CPUSYS01 Full Test612182430SE +/- 0.61, N = 1524.73MIN: 22.72 / MAX: 28.52

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: GPUSYS01 Full Test918273645SE +/- 3.59, N = 1239.23MAX: 64.43

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: GPUSYS01 Full Test20406080100SE +/- 6.91, N = 1276.05MAX: 84.61

ArrayFire

ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient CPUSYS01 Full Test612182430SE +/- 0.67, N = 1525.281. (CXX) g++ options: -rdynamic

OpenBenchmarking.orgGFLOPS, More Is BetterArrayFire 3.7Test: BLAS CPUSYS01 Full Test30060090012001500SE +/- 95.37, N = 151337.711. (CXX) g++ options: -rdynamic

RedShift Demo

This is a test of MAXON's RedShift demo build that currently requires NVIDIA GPU acceleration. Learn more via the OpenBenchmarking.org test page.

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./redshift: 3: /usr/redshift/bin/redshiftBenchmark: not found

Libplacebo

Libplacebo is a multimedia rendering library based on the core rendering code of the MPV player. The libplacebo benchmark relies on the Vulkan API and tests various primitives. Learn more via the OpenBenchmarking.org test page.

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

CUDA Mini-Nbody

The CUDA version of Harrism's mini-nbody tests. Learn more via the OpenBenchmarking.org test page.

Test: Original

SYS01 Full Test: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Hashcat

Hashcat is an open-source, advanced password recovery tool supporting GPU acceleration with OpenCL, NVIDIA CUDA, and Radeon ROCm. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1SYS01 Full Test20000M40000M60000M80000M100000MSE +/- 19826623117.19, N = 1698836825000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: MD5SYS01 Full Test70000M140000M210000M280000M350000MSE +/- 61357328264.01, N = 16305914100000

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.

Scale: 2x - Denoise: 3 - TAA: Yes

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

Scale: 4x - TAA: Yes

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

vkpeak

Vkpeak is a Vulkan compute benchmark inspired by OpenCL's clpeak. Vkpeak provides Vulkan compute performance measurements for FP16 / FP32 / FP64 / INT16 / INT32 scalar and vec4 performance. Learn more via the OpenBenchmarking.org test page.

SYS01 Full Test: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

129 Results Shown

IndigoBench:
  OpenCL GPU - Supercar
  OpenCL GPU - Bedroom
  CPU - Supercar
  CPU - Bedroom
Blender
NCNN:
  Vulkan GPU - vision_transformer
  Vulkan GPU - regnety_400m
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - resnet50
  Vulkan GPU - alexnet
  Vulkan GPU - blazeface
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - mnasnet
  Vulkan GPU - shufflenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU - mobilenet
  CPU - efficientnet-b0
  CPU - regnety_400m
  CPU - squeezenet_ssd
  CPU - resnet50
  CPU - alexnet
  CPU - resnet18
  CPU - googlenet
  CPU - blazeface
  CPU - shufflenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU-v2-v2 - mobilenet-v2
  CPU - mobilenet
Caffe:
  GoogleNet - CPU - 1000
  GoogleNet - CPU - 200
  GoogleNet - CPU - 100
  AlexNet - CPU - 1000
  AlexNet - CPU - 200
  AlexNet - CPU - 100
GROMACS
ViennaCL:
  OpenCL BLAS - dGEMM-TT
  OpenCL BLAS - dGEMM-TN
  OpenCL BLAS - dGEMM-NT
  OpenCL BLAS - dGEMM-NN
  OpenCL BLAS - dGEMV-T
  OpenCL BLAS - dGEMV-N
  OpenCL BLAS - dDOT
  OpenCL BLAS - dAXPY
  OpenCL BLAS - dCOPY
  OpenCL BLAS - sDOT
  OpenCL BLAS - sAXPY
  OpenCL BLAS - sCOPY
  CPU BLAS - dGEMM-TT
  CPU BLAS - dGEMM-TN
  CPU BLAS - dGEMM-NT
  CPU BLAS - dGEMM-NN
  CPU BLAS - dGEMV-T
  CPU BLAS - dGEMV-N
  CPU BLAS - dDOT
  CPU BLAS - dCOPY
  CPU BLAS - sDOT
  CPU BLAS - sAXPY
  CPU BLAS - sCOPY
FinanceBench:
  Black-Scholes OpenCL
  Monte-Carlo OpenCL
  Bonds OpenMP
  Repo OpenMP
LuxCoreRender:
  Rainbow Colors and Prism - GPU
  LuxCore Benchmark - CPU
  Orange Juice - GPU
  Orange Juice - CPU
  Danish Mood - GPU
  Danish Mood - CPU
  DLSC - CPU
ArrayFire:
  Conjugate Gradient OpenCL
  BLAS OpenCL
Rodinia:
  OpenCL Particle Filter
  OpenMP Streamcluster
  OpenMP CFD Solver
  OpenMP Leukocyte
  OpenMP HotSpot3D
  OpenCL Myocyte
  OpenMP LavaMD
LeelaChessZero:
  OpenCL
  Eigen
  BLAS
clpeak:
  Transfer Bandwidth enqueueWriteBuffer
  Transfer Bandwidth enqueueReadBuffer
  Single-Precision Compute
  Double-Precision Compute
  Global Memory Bandwidth
  Integer 24-bit Compute
  Integer Compute
  Kernel Latency
FAHBench
OctaneBench
VkResample
NAMD CUDA
cl-mem:
  Write
  Read
  Copy
SHOC Scalable HeterOgeneous Computing:
  OpenCL - Texture Read Bandwidth
  OpenCL - Bus Speed Readback
  OpenCL - Bus Speed Download
  OpenCL - Max SP Flops
  OpenCL - GEMM SGEMM_N
  OpenCL - Reduction
  OpenCL - MD5 Hash
  OpenCL - FFT SP
  OpenCL - Triad
  OpenCL - S3D
Hashcat:
  TrueCrypt RIPEMD160 + XTS
  SHA-512
  7-Zip
MandelGPU
NCNN:
  Vulkan GPU - FastestDet
  Vulkan GPU - squeezenet_ssd
  Vulkan GPU - resnet18
  Vulkan GPU - vgg16
  Vulkan GPU - googlenet
  CPU - FastestDet
  CPU - vision_transformer
  CPU - yolov4-tiny
  CPU - vgg16
  CPU - mnasnet
ViennaCL
LuxCoreRender:
  Rainbow Colors and Prism - CPU
  LuxCore Benchmark - GPU
  DLSC - GPU
ArrayFire:
  Conjugate Gradient CPU
  BLAS CPU
Hashcat:
  SHA1
  MD5