gpu5

Intel Xeon Platinum 8352Y testing with a Supermicro X12SPA-TF v1.01 (1.1 BIOS) and llvmpipe 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 2303157-NE-GPU55695888
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gpu5
March 15 2023
  14 Hours, 3 Minutes
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gpu5OpenBenchmarking.orgPhoronix Test SuiteIntel Xeon Platinum 8352Y @ 3.40GHz (32 Cores / 64 Threads)Supermicro X12SPA-TF v1.01 (1.1 BIOS)Intel Device 09981008GB2 x 3201GB SAMSUNG MZPLJ3T2HBJR-00007llvmpipe (210/1512MHz)Realtek ALC888-VDDELL 1707FPIntel I210 + Aquantia Device 04c0Ubuntu 22.045.19.0-35-generic (x86_64)GNOME Shell 42.5X Server 1.21.1.3NVIDIA 525.89.024.5 Mesa 22.2.5 (LLVM 15.0.6 256 bits)1.3.224GCC 11.3.0 + CUDA 12.0ext41280x1024ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionGpu5 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-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/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: intel_cpufreq schedutil - CPU Microcode: 0xd000389- BAR1 / Visible vRAM Size: 131072 MiB - vBIOS Version: 92.00.68.00.01- GPU Compute Cores: 6912- Python 3.10.6- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Not affected + 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 IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

gpu5vkpeak: fp32-scalarvkpeak: fp32-vec4vkpeak: fp16-scalarvkpeak: fp16-vec4vkpeak: fp64-scalarvkpeak: fp64-vec4vkpeak: int32-scalarvkpeak: int32-vec4vkpeak: int16-scalarvkpeak: int16-vec4realsr-ncnn: 4x - Norealsr-ncnn: 4x - Yeswaifu2x-ncnn: 2x - 3 - Nowaifu2x-ncnn: 2x - 3 - Yesvkfft: vkresample: 2x - Doublevkresample: 2x - Singleviennacl: CPU BLAS - sCOPYviennacl: CPU BLAS - sAXPYviennacl: CPU BLAS - sDOTviennacl: CPU BLAS - dCOPYviennacl: CPU BLAS - dAXPYviennacl: CPU BLAS - dDOTviennacl: CPU BLAS - dGEMV-Nviennacl: CPU BLAS - dGEMV-Tviennacl: CPU BLAS - dGEMM-NNviennacl: CPU BLAS - dGEMM-NTviennacl: CPU BLAS - dGEMM-TNviennacl: CPU BLAS - dGEMM-TTncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - vision_transformerncnn: Vulkan GPU - FastestDetneatbench: GPUgpu519331.5319268.4419305.9045639.269706.709700.4519292.5818962.1212795.7514273.807.95830.8662.6425.1704749813.7405.873334401248147151.7172139.320055.555.958.657.610.264.805.535.295.3723.383.3916.535.795.864.686.5043.5332.969.95337.235.40OpenBenchmarking.org

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.

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp32-scalargpu54K8K12K16K20KSE +/- 7.04, N = 319331.53

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp32-vec4gpu54K8K12K16K20KSE +/- 7.70, N = 319268.44

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-scalargpu54K8K12K16K20KSE +/- 3.36, N = 319305.90

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-vec4gpu510K20K30K40K50KSE +/- 1.79, N = 345639.26

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-scalargpu52K4K6K8K10KSE +/- 2.00, N = 39706.70

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-vec4gpu52K4K6K8K10KSE +/- 0.66, N = 39700.45

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-scalargpu54K8K12K16K20KSE +/- 8.89, N = 319292.58

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-vec4gpu54K8K12K16K20KSE +/- 8.33, N = 318962.12

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-scalargpu53K6K9K12K15KSE +/- 6.40, N = 312795.75

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-vec4gpu53K6K9K12K15KSE +/- 9.02, N = 314273.80

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: Nogpu5246810SE +/- 0.021, N = 37.958

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: Yesgpu5714212835SE +/- 0.01, N = 330.87

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: Nogpu50.59451.1891.78352.3782.9725SE +/- 0.005, N = 32.642

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: Yesgpu51.16332.32663.48994.65325.8165SE +/- 0.002, N = 35.170

VkFFT

VkFFT is a Fast Fourier Transform (FFT) Library that is GPU accelerated by means of the Vulkan API. The VkFFT benchmark runs FFT performance differences of many different sizes before returning an overall benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.1.1gpu510K20K30K40K50KSE +/- 536.28, N = 9474981. (CXX) g++ options: -O3

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.

Benchmark: MD5

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Benchmark: SHA1

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Benchmark: 7-Zip

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Benchmark: SHA-512

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Benchmark: TrueCrypt RIPEMD160 + XTS

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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.

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cl-mem

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

Benchmark: Copy

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Benchmark: Read

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Benchmark: Write

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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.

gpu5: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result. E: FATAL ERROR: CUDA error cudaGetDeviceCount(&deviceCount) in file src/DeviceCUDA.C, function initialize, line 135

Betsy GPU Compressor

Betsy is an open-source GPU compressor of various GPU compression techniques. Betsy is written in GLSL for Vulkan/OpenGL (compute shader) support for GPU-based texture compression. Learn more via the OpenBenchmarking.org test page.

Codec: ETC1 - Quality: Highest

gpu5: 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: ./betsy: 3: ./betsy: not found

Codec: ETC2 RGB - Quality: Highest

gpu5: 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: ./betsy: 3: ./betsy: not found

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: Doublegpu548121620SE +/- 0.00, N = 313.741. (CXX) g++ options: -O3

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Singlegpu51.32142.64283.96425.28566.607SE +/- 0.000, N = 35.8731. (CXX) g++ options: -O3

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.

Total Score

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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.

gpu5: 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

FAHBench

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

gpu5: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

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.

Scene: DLSC - Acceleration: GPU

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Scene: Danish Mood - Acceleration: GPU

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Scene: Orange Juice - Acceleration: GPU

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Scene: LuxCore Benchmark - Acceleration: GPU

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Scene: Rainbow Colors and Prism - Acceleration: GPU

gpu5: 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: RUNTIME ERROR: No hardware device selected or available

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 - sCOPYgpu570140210280350SE +/- 7.48, N = 153341. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sAXPYgpu590180270360450SE +/- 10.38, N = 154011. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sDOTgpu550100150200250SE +/- 8.56, N = 152481. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dCOPYgpu5306090120150SE +/- 4.60, N = 151471. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dAXPYgpu5306090120150SE +/- 6.93, N = 15151.71. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dDOTgpu54080120160200SE +/- 5.78, N = 151721. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-Ngpu5306090120150SE +/- 4.83, N = 15139.31. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-Tgpu54080120160200SE +/- 6.55, N = 152001. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NNgpu51224364860SE +/- 0.43, N = 1555.51. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NTgpu51326395265SE +/- 0.57, N = 1555.91. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TNgpu51326395265SE +/- 1.22, N = 1458.61. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TTgpu51326395265SE +/- 1.23, N = 1557.61. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

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 20220729Target: Vulkan GPU - Model: mobilenetgpu53691215SE +/- 0.04, N = 310.26MIN: 10.03 / MAX: 28.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2gpu51.082.163.244.325.4SE +/- 0.02, N = 34.80MIN: 4.34 / MAX: 15.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3gpu51.24432.48863.73294.97726.2215SE +/- 0.11, N = 35.53MIN: 4.83 / MAX: 18.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: shufflenet-v2gpu51.19032.38063.57094.76125.9515SE +/- 0.12, N = 35.29MIN: 4.64 / MAX: 31.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: mnasnetgpu51.20832.41663.62494.83326.0415SE +/- 0.36, N = 35.37MIN: 4.42 / MAX: 26.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: efficientnet-b0gpu5612182430SE +/- 0.67, N = 323.38MIN: 10.58 / MAX: 34.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: blazefacegpu50.76281.52562.28843.05123.814SE +/- 0.22, N = 33.39MIN: 3.05 / MAX: 7.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: googlenetgpu548121620SE +/- 4.87, N = 316.53MIN: 4.89 / MAX: 32.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: vgg16gpu51.30282.60563.90845.21126.514SE +/- 0.67, N = 35.79MIN: 4.38 / MAX: 27.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: resnet18gpu51.31852.6373.95555.2746.5925SE +/- 0.57, N = 35.86MIN: 4.43 / MAX: 27.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: alexnetgpu51.0532.1063.1594.2125.265SE +/- 0.29, N = 34.68MIN: 4.06 / MAX: 24.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: resnet50gpu5246810SE +/- 0.71, N = 36.50MIN: 4.72 / MAX: 30.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: yolov4-tinygpu51020304050SE +/- 0.05, N = 343.53MIN: 12.56 / MAX: 64.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: squeezenet_ssdgpu5816243240SE +/- 0.39, N = 332.96MIN: 10.27 / MAX: 75.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: regnety_400mgpu53691215SE +/- 3.96, N = 39.95MIN: 4.95 / MAX: 30.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: vision_transformergpu570140210280350SE +/- 10.07, N = 3337.23MIN: 319.27 / MAX: 2046.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: FastestDetgpu51.2152.433.6454.866.075SE +/- 0.02, N = 35.40MIN: 4.91 / MAX: 16.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: GPU

gpu5: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.