nvidiagpucompute2

AMD Ryzen 9 5950X 16-Core testing with a Gigabyte X570 AORUS ULTRA (F33c BIOS) and eVGA NVIDIA GeForce RTX 3090 24GB 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 2107245-IB-NVIDIAGPU36
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nvidiagpucompute20210724_2
July 24
  7 Hours, 12 Minutes
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nvidiagpucompute2OpenBenchmarking.orgPhoronix Test Suite 10.6.0AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads)Gigabyte X570 AORUS ULTRA (F33c BIOS)AMD Starship/Matisse64GB240GB KINGSTON SA400S3 + 1000GB Seagate ST1000DM010-2EP1 + 4001GB Seagate ST4000DM004-2CV1eVGA NVIDIA GeForce RTX 3090 24GBNVIDIA Device 1aefSAMSUNGIntel I211 + Intel Device 2723Debian 104.19.0-8-amd64 (x86_64)GNOME Shell 3.30.2X Server 1.20.4NVIDIA 470.57.024.6.0OpenCL 3.0 CUDA 11.4.941.2.175GCC 8.3.0 + Clang 7.0.1-8+deb10u2ext43840x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionNvidiagpucompute2 BenchmarksSystem Logs- Transparent Huge Pages: always- --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 - Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0xa201009- GPU Compute Cores: 10496- Python 3.7.3- 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 IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Not affected

nvidiagpucompute2vkpeak: 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 - Yeshashcat: MD5hashcat: SHA1hashcat: 7-Ziphashcat: SHA-512hashcat: TrueCrypt RIPEMD160 + XTSshoc: OpenCL - S3Dshoc: OpenCL - Triadshoc: OpenCL - FFT SPshoc: OpenCL - MD5 Hashshoc: OpenCL - Reductionshoc: OpenCL - GEMM SGEMM_Nshoc: OpenCL - Max SP Flopsshoc: OpenCL - Bus Speed Downloadshoc: OpenCL - Bus Speed Readbackshoc: OpenCL - Texture Read Bandwidthcl-mem: Copycl-mem: Readcl-mem: Writenamd-cuda: ATPase Simulation - 327,506 Atomsbetsy: ETC1 - Highestbetsy: ETC2 RGB - Highestoctanebench: Total Scorefahbench: rodinia: OpenCL Particle Filterarrayfire: Conjugate Gradient OpenCLluxcorerender: DLSC - GPUluxcorerender: Danish Mood - GPUluxcorerender: Orange Juice - GPUluxcorerender: LuxCore Benchmark - GPUluxcorerender: Rainbow Colors and Prism - GPUfinancebench: Black-Scholes OpenCLviennacl: 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-TTviennacl: OpenCL BLAS - sCOPYviennacl: OpenCL BLAS - sAXPYviennacl: OpenCL BLAS - sDOTviennacl: OpenCL BLAS - dCOPYviennacl: OpenCL BLAS - dAXPYviennacl: OpenCL BLAS - dDOTviennacl: OpenCL BLAS - dGEMV-Nviennacl: OpenCL BLAS - dGEMV-Tviennacl: OpenCL BLAS - dGEMM-NNviennacl: OpenCL BLAS - dGEMM-NTviennacl: OpenCL BLAS - dGEMM-TNviennacl: OpenCL 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_400mindigobench: OpenCL GPU - Bedroomindigobench: OpenCL GPU - Supercarblender: BMW27 - CUDAblender: Classroom - CUDAblender: Fishy Cat - CUDAblender: Barbershop - CUDAblender: BMW27 - NVIDIA OptiXblender: Classroom - NVIDIA OptiXblender: Fishy Cat - NVIDIA OptiXblender: Barbershop - NVIDIA OptiXblender: Pabellon Barcelona - CUDAblender: Pabellon Barcelona - NVIDIA OptiXmandelgpu: GPUclpeak: Integer Compute INTclpeak: Single-Precision Floatclpeak: Double-Precision Doubleclpeak: Global Memory Bandwidthneatbench: GPUnvidiagpucompute20210724_219962.0626349.2219854.5838718.59623.91628.7219983.5719736.8313086.3717406.395.82628.9593.433667320000002265870000011550332867166667862367432.86618.23142350.8044.2095380.1568375.7939748.126.344327.07712126.49358.0826.3744.10.132653.1104.044675.08009330.13393.9041.50611.198.5810.1310.7931.496.01873.611011925.938.942.449.954.177.072.386.381.336048936359671265023036457357657157416.205.605.265.345.086.802.1817.2568.7217.9614.6831.9729.0418.0211.7820.19551.56718.4451.9934.64388.9212.3729.1122.32332.56121.4144.39414503266.618746.3637197.39629.51813.993090OpenBenchmarking.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-scalarnvidiagpucompute20210724_24K8K12K16K20KSE +/- 93.91, N = 319962.06

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp32-vec4nvidiagpucompute20210724_26K12K18K24K30KSE +/- 0.19, N = 326349.22

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-scalarnvidiagpucompute20210724_24K8K12K16K20KSE +/- 0.22, N = 319854.58

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-vec4nvidiagpucompute20210724_28K16K24K32K40KSE +/- 1.05, N = 338718.59

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-scalarnvidiagpucompute20210724_2130260390520650SE +/- 0.01, N = 3623.91

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-vec4nvidiagpucompute20210724_2140280420560700SE +/- 0.06, N = 3628.72

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-scalarnvidiagpucompute20210724_24K8K12K16K20KSE +/- 0.49, N = 319983.57

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-vec4nvidiagpucompute20210724_24K8K12K16K20KSE +/- 0.24, N = 319736.83

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-scalarnvidiagpucompute20210724_23K6K9K12K15KSE +/- 0.20, N = 313086.37

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-vec4nvidiagpucompute20210724_24K8K12K16K20KSE +/- 4.11, N = 317406.39

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: Nonvidiagpucompute20210724_21.31092.62183.93275.24366.5545SE +/- 0.013, N = 35.826

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: Yesnvidiagpucompute20210724_2714212835SE +/- 0.05, N = 328.96

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: Yesnvidiagpucompute20210724_20.77241.54482.31723.08963.862SE +/- 0.005, N = 33.433

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 6.1.1Benchmark: MD5nvidiagpucompute20210724_214000M28000M42000M56000M70000MSE +/- 135322442.09, N = 366732000000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: SHA1nvidiagpucompute20210724_25000M10000M15000M20000M25000MSE +/- 29929305.59, N = 322658700000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: 7-Zipnvidiagpucompute20210724_2200K400K600K800K1000KSE +/- 8714.04, N = 31155033

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: SHA-512nvidiagpucompute20210724_2600M1200M1800M2400M3000MSE +/- 4699763.59, N = 32867166667

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: TrueCrypt RIPEMD160 + XTSnvidiagpucompute20210724_2200K400K600K800K1000KSE +/- 841.30, N = 3862367

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.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: S3Dnvidiagpucompute20210724_290180270360450SE +/- 0.17, N = 3432.871. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Triadnvidiagpucompute20210724_248121620SE +/- 0.01, N = 318.231. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: FFT SPnvidiagpucompute20210724_25001000150020002500SE +/- 0.39, N = 32350.801. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: MD5 Hashnvidiagpucompute20210724_21020304050SE +/- 0.01, N = 344.211. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Reductionnvidiagpucompute20210724_280160240320400SE +/- 0.11, N = 3380.161. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: GEMM SGEMM_Nnvidiagpucompute20210724_22K4K6K8K10KSE +/- 76.30, N = 38375.791. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Max SP Flopsnvidiagpucompute20210724_29K18K27K36K45KSE +/- 29.90, N = 339748.11. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed Downloadnvidiagpucompute20210724_2612182430SE +/- 0.00, N = 326.341. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed Readbacknvidiagpucompute20210724_2612182430SE +/- 0.00, N = 327.081. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Texture Read Bandwidthnvidiagpucompute20210724_25001000150020002500SE +/- 4.13, N = 32126.491. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

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: Copynvidiagpucompute20210724_280160240320400SE +/- 0.03, N = 3358.01. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: Readnvidiagpucompute20210724_22004006008001000SE +/- 0.81, N = 3826.31. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: Writenvidiagpucompute20210724_2160320480640800SE +/- 0.21, N = 3744.11. (CC) gcc options: -O2 -flto -lOpenCL

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 Atomsnvidiagpucompute20210724_20.02980.05960.08940.11920.149SE +/- 0.00012, N = 30.13265

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC1 - Quality: Highestnvidiagpucompute20210724_20.69981.39962.09942.79923.499SE +/- 0.027, N = 83.1101. (CXX) g++ options: -O3 -O2 -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC2 RGB - Quality: Highestnvidiagpucompute20210724_20.90991.81982.72973.63964.5495SE +/- 0.017, N = 34.0441. (CXX) g++ options: -O3 -O2 -lpthread -ldl

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 Scorenvidiagpucompute20210724_2150300450600750675.08

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 2.3.2nvidiagpucompute20210724_270140210280350SE +/- 0.42, N = 3330.13

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 Filternvidiagpucompute20210724_20.87841.75682.63523.51364.392SE +/- 0.038, N = 63.9041. (CXX) g++ options: -O2 -lOpenCL

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 OpenCLnvidiagpucompute20210724_20.33890.67781.01671.35561.6945SE +/- 0.002, N = 31.5061. (CXX) g++ options: -rdynamic

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 2.5Scene: DLSC - Acceleration: GPUnvidiagpucompute20210724_23691215SE +/- 0.02, N = 311.19MIN: 10.17 / MAX: 11.58

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Danish Mood - Acceleration: GPUnvidiagpucompute20210724_2246810SE +/- 0.02, N = 38.58MIN: 2.33 / MAX: 10.35

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Orange Juice - Acceleration: GPUnvidiagpucompute20210724_23691215SE +/- 0.02, N = 310.13MIN: 8.23 / MAX: 13.57

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: LuxCore Benchmark - Acceleration: GPUnvidiagpucompute20210724_23691215SE +/- 0.00, N = 310.79MIN: 3.52 / MAX: 12.76

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Rainbow Colors and Prism - Acceleration: GPUnvidiagpucompute20210724_2714212835SE +/- 0.29, N = 331.49MIN: 28.51 / MAX: 34.26

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 OpenCLnvidiagpucompute20210724_2246810SE +/- 0.085, N = 146.0181. (CXX) g++ options: -O3 -march=native -fopenmp

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 - sCOPYnvidiagpucompute20210724_21632486480SE +/- 1.09, N = 1273.61. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sAXPYnvidiagpucompute20210724_220406080100SE +/- 1.70, N = 121101. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sDOTnvidiagpucompute20210724_2306090120150SE +/- 2.00, N = 121191. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dCOPYnvidiagpucompute20210724_2612182430SE +/- 0.05, N = 1225.91. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dAXPYnvidiagpucompute20210724_2918273645SE +/- 0.13, N = 1238.91. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dDOTnvidiagpucompute20210724_21020304050SE +/- 0.08, N = 1242.41. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-Nnvidiagpucompute20210724_21122334455SE +/- 0.20, N = 1249.91. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-Tnvidiagpucompute20210724_21224364860SE +/- 0.05, N = 1254.11. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NNnvidiagpucompute20210724_220406080100SE +/- 0.42, N = 1277.01. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NTnvidiagpucompute20210724_21632486480SE +/- 0.26, N = 1272.31. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TNnvidiagpucompute20210724_220406080100SE +/- 0.09, N = 1286.31. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TTnvidiagpucompute20210724_220406080100SE +/- 0.29, N = 1281.31. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sCOPYnvidiagpucompute20210724_2801602403204003601. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sAXPYnvidiagpucompute20210724_2110220330440550SE +/- 0.33, N = 34891. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sDOTnvidiagpucompute20210724_280160240320400SE +/- 0.58, N = 33631. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dCOPYnvidiagpucompute20210724_2130260390520650SE +/- 0.33, N = 35961. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dAXPYnvidiagpucompute20210724_21503004506007507121. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dDOTnvidiagpucompute20210724_2140280420560700SE +/- 0.58, N = 36501. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-Nnvidiagpucompute20210724_250100150200250SE +/- 0.33, N = 32301. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-Tnvidiagpucompute20210724_280160240320400SE +/- 0.33, N = 33641. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NNnvidiagpucompute20210724_2120240360480600SE +/- 1.33, N = 35731. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NTnvidiagpucompute20210724_2120240360480600SE +/- 1.67, N = 35761. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TNnvidiagpucompute20210724_2120240360480600SE +/- 1.33, N = 35711. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TTnvidiagpucompute20210724_2120240360480600SE +/- 1.33, N = 35741. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

NCNN

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU - Model: mobilenetnvidiagpucompute20210724_248121620SE +/- 0.08, N = 316.20MIN: 15.51 / MAX: 33.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2nvidiagpucompute20210724_21.262.523.785.046.3SE +/- 0.01, N = 35.60MIN: 5.4 / MAX: 17.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3nvidiagpucompute20210724_21.18352.3673.55054.7345.9175SE +/- 0.01, N = 35.26MIN: 5.05 / MAX: 10.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU - Model: shufflenet-v2nvidiagpucompute20210724_21.20152.4033.60454.8066.0075SE +/- 0.03, N = 35.34MIN: 5.13 / MAX: 18.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU - Model: mnasnetnvidiagpucompute20210724_21.1432.2863.4294.5725.715SE +/- 0.06, N = 35.08MIN: 4.81 / MAX: 10.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU - Model: efficientnet-b0nvidiagpucompute20210724_2246810SE +/- 0.03, N = 36.80MIN: 6.56 / MAX: 13.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU - Model: blazefacenvidiagpucompute20210724_20.49050.9811.47151.9622.4525SE +/- 0.04, N = 32.18MIN: 2.06 / MAX: 2.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU - Model: googlenetnvidiagpucompute20210724_248121620SE +/- 0.22, N = 317.25MIN: 16.05 / MAX: 24.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU - Model: vgg16nvidiagpucompute20210724_21530456075SE +/- 0.21, N = 368.72MIN: 67.02 / MAX: 96.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU - Model: resnet18nvidiagpucompute20210724_248121620SE +/- 0.15, N = 317.96MIN: 17.36 / MAX: 34.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU - Model: alexnetnvidiagpucompute20210724_248121620SE +/- 0.05, N = 314.68MIN: 14.13 / MAX: 29.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU - Model: resnet50nvidiagpucompute20210724_2714212835SE +/- 0.09, N = 331.97MIN: 30.21 / MAX: 59.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU - Model: yolov4-tinynvidiagpucompute20210724_2714212835SE +/- 0.45, N = 329.04MIN: 26.03 / MAX: 134.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU - Model: squeezenet_ssdnvidiagpucompute20210724_248121620SE +/- 0.08, N = 318.02MIN: 17.33 / MAX: 24.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU - Model: regnety_400mnvidiagpucompute20210724_23691215SE +/- 0.06, N = 311.78MIN: 11.4 / MAX: 17.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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: Bedroomnvidiagpucompute20210724_2510152025SE +/- 0.18, N = 320.20

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: Supercarnvidiagpucompute20210724_21224364860SE +/- 0.05, N = 351.57

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL, NVIDIA OptiX, and NVIDIA CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: BMW27 - Compute: CUDAnvidiagpucompute20210724_2510152025SE +/- 0.08, N = 318.44

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Classroom - Compute: CUDAnvidiagpucompute20210724_21224364860SE +/- 0.02, N = 351.99

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Fishy Cat - Compute: CUDAnvidiagpucompute20210724_2816243240SE +/- 0.03, N = 334.64

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Barbershop - Compute: CUDAnvidiagpucompute20210724_280160240320400SE +/- 0.76, N = 3388.92

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: BMW27 - Compute: NVIDIA OptiXnvidiagpucompute20210724_23691215SE +/- 2.78, N = 1512.37

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Classroom - Compute: NVIDIA OptiXnvidiagpucompute20210724_2714212835SE +/- 0.12, N = 329.11

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Fishy Cat - Compute: NVIDIA OptiXnvidiagpucompute20210724_2510152025SE +/- 2.78, N = 1522.32

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Barbershop - Compute: NVIDIA OptiXnvidiagpucompute20210724_270140210280350SE +/- 0.89, N = 3332.56

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Pabellon Barcelona - Compute: CUDAnvidiagpucompute20210724_2306090120150SE +/- 0.06, N = 3121.41

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXnvidiagpucompute20210724_21020304050SE +/- 0.04, N = 344.39

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: GPUnvidiagpucompute20210724_290M180M270M360M450MSE +/- 4649037.02, N = 3414503266.61. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

clpeak

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

OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTnvidiagpucompute20210724_24K8K12K16K20KSE +/- 74.58, N = 318746.361. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision Floatnvidiagpucompute20210724_28K16K24K32K40KSE +/- 208.60, N = 337197.391. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision Doublenvidiagpucompute20210724_2140280420560700SE +/- 1.62, N = 3629.511. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory Bandwidthnvidiagpucompute20210724_22004006008001000SE +/- 0.03, N = 3813.991. (CXX) g++ options: -O3 -rdynamic -lOpenCL

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.

OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: GPUnvidiagpucompute20210724_270014002100280035003090