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 2021
  7 Hours, 12 Minutes
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nvidiagpucompute20210724_2

Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: Gigabyte X570 AORUS ULTRA (F33c BIOS), Chipset: AMD Starship/Matisse, Memory: 64GB, Disk: 240GB KINGSTON SA400S3 + 1000GB Seagate ST1000DM010-2EP1 + 4001GB Seagate ST4000DM004-2CV1, Graphics: eVGA NVIDIA GeForce RTX 3090 24GB, Audio: NVIDIA Device 1aef, Monitor: SAMSUNG, Network: Intel I211 + Intel Device 2723

OS: Debian 10, Kernel: 4.19.0-8-amd64 (x86_64), Desktop: GNOME Shell 3.30.2, Display Server: X Server 1.20.4, Display Driver: NVIDIA 470.57.02, OpenGL: 4.6.0, OpenCL: OpenCL 3.0 CUDA 11.4.94, Vulkan: 1.2.175, Compiler: GCC 8.3.0 + Clang 7.0.1-8+deb10u2, File-System: ext4, Screen Resolution: 3840x1080

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --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
Processor Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0xa201009
OpenCL Notes: GPU Compute Cores: 10496
Python Notes: Python 3.7.3
Security Notes: 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

nvidiagpucompute2OpenBenchmarking.orgPhoronix Test SuiteAMD 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

nvidiagpucompute2neatbench: GPUclpeak: Global Memory Bandwidthclpeak: Double-Precision Doubleclpeak: Single-Precision Floatclpeak: Integer Compute INTmandelgpu: GPUblender: Pabellon Barcelona - NVIDIA OptiXblender: Pabellon Barcelona - CUDAblender: Barbershop - NVIDIA OptiXblender: Classroom - NVIDIA OptiXblender: Barbershop - CUDAblender: Fishy Cat - CUDAblender: Classroom - CUDAblender: BMW27 - CUDAindigobench: OpenCL GPU - Supercarindigobench: OpenCL GPU - Bedroomncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - googlenetncnn: 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 - mobilenetviennacl: 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 - dAXPYviennacl: CPU BLAS - dCOPYviennacl: CPU BLAS - sDOTviennacl: CPU BLAS - sAXPYviennacl: CPU BLAS - sCOPYfinancebench: Black-Scholes OpenCLluxcorerender: Rainbow Colors and Prism - GPUluxcorerender: LuxCore Benchmark - GPUluxcorerender: Orange Juice - GPUluxcorerender: Danish Mood - GPUluxcorerender: DLSC - GPUarrayfire: Conjugate Gradient OpenCLrodinia: OpenCL Particle Filterfahbench: octanebench: Total Scorebetsy: ETC2 RGB - Highestbetsy: ETC1 - Highestnamd-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-Ziphashcat: SHA1hashcat: MD5waifu2x-ncnn: 2x - 3 - Yesrealsr-ncnn: 4x - Yesrealsr-ncnn: 4x - Novkpeak: int16-vec4vkpeak: int16-scalarvkpeak: int32-vec4vkpeak: int32-scalarvkpeak: fp64-vec4vkpeak: fp64-scalarvkpeak: fp16-vec4vkpeak: fp16-scalarvkpeak: fp32-vec4vkpeak: fp32-scalarblender: Fishy Cat - NVIDIA OptiXblender: BMW27 - NVIDIA OptiXnvidiagpucompute20210724_23090813.99629.5137197.3918746.36414503266.644.39121.41332.5629.11388.9234.6451.9918.4451.56720.19511.7818.0229.0431.9714.6817.9668.7217.252.186.805.085.345.265.6016.2057457157657336423065071259636348936081.386.372.377.054.149.942.438.925.911911073.66.01831.4910.7910.138.5811.191.5063.904330.1339675.080094.0443.1100.13265744.1826.3358.02126.4927.077126.344339748.18375.79380.15644.20952350.8018.2314432.8668623672867166667115503322658700000667320000003.43328.9595.82617406.3913086.3719736.8319983.57628.72623.9138718.5919854.5826349.2219962.0622.3212.37OpenBenchmarking.org

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

clpeak

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

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory Bandwidthnvidiagpucompute20210724_22004006008001000SE +/- 0.03, N = 3813.991. (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.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision Floatnvidiagpucompute20210724_28K16K24K32K40KSE +/- 208.60, N = 337197.391. (CXX) g++ options: -O3 -rdynamic -lOpenCL

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

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

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: Pabellon Barcelona - Compute: NVIDIA OptiXnvidiagpucompute20210724_21020304050SE +/- 0.04, N = 344.39

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: Barbershop - Compute: NVIDIA OptiXnvidiagpucompute20210724_270140210280350SE +/- 0.89, N = 3332.56

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: Barbershop - Compute: CUDAnvidiagpucompute20210724_280160240320400SE +/- 0.76, N = 3388.92

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: Classroom - Compute: CUDAnvidiagpucompute20210724_21224364860SE +/- 0.02, N = 351.99

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

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: Supercarnvidiagpucompute20210724_21224364860SE +/- 0.05, N = 351.57

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: Bedroomnvidiagpucompute20210724_2510152025SE +/- 0.18, N = 320.20

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 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

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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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-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-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 - Model: mobilenetnvidiagpucompute20210724_248121620SE +/- 0.08, N = 316.20MIN: 15.51 / MAX: 33.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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-TTnvidiagpucompute20210724_2120240360480600SE +/- 1.33, N = 35741. (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-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-NNnvidiagpucompute20210724_2120240360480600SE +/- 1.33, N = 35731. (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.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 - dDOTnvidiagpucompute20210724_2140280420560700SE +/- 0.58, N = 36501. (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 - dCOPYnvidiagpucompute20210724_2130260390520650SE +/- 0.33, N = 35961. (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 - sAXPYnvidiagpucompute20210724_2110220330440550SE +/- 0.33, N = 34891. (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.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.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-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-NNnvidiagpucompute20210724_220406080100SE +/- 0.42, N = 1277.01. (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.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 - 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 - 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 - 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 - sDOTnvidiagpucompute20210724_2306090120150SE +/- 2.00, N = 121191. (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 - sCOPYnvidiagpucompute20210724_21632486480SE +/- 1.09, N = 1273.61. (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 OpenCLnvidiagpucompute20210724_2246810SE +/- 0.085, N = 146.0181. (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 2.5Scene: Rainbow Colors and Prism - Acceleration: GPUnvidiagpucompute20210724_2714212835SE +/- 0.29, N = 331.49MIN: 28.51 / MAX: 34.26

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: Orange Juice - Acceleration: GPUnvidiagpucompute20210724_23691215SE +/- 0.02, N = 310.13MIN: 8.23 / MAX: 13.57

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

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

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

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

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

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: ETC2 RGB - Quality: Highestnvidiagpucompute20210724_20.90991.81982.72973.63964.5495SE +/- 0.017, N = 34.0441. (CXX) g++ options: -O3 -O2 -lpthread -ldl

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

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

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: Writenvidiagpucompute20210724_2160320480640800SE +/- 0.21, N = 3744.11. (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: Copynvidiagpucompute20210724_280160240320400SE +/- 0.03, N = 3358.01. (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 Bandwidthnvidiagpucompute20210724_25001000150020002500SE +/- 4.13, N = 32126.491. (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: Bus Speed Downloadnvidiagpucompute20210724_2612182430SE +/- 0.00, N = 326.341. (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.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.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.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.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.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: S3Dnvidiagpucompute20210724_290180270360450SE +/- 0.17, N = 3432.871. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -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 6.1.1Benchmark: TrueCrypt RIPEMD160 + XTSnvidiagpucompute20210724_2200K400K600K800K1000KSE +/- 841.30, N = 3862367

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: 7-Zipnvidiagpucompute20210724_2200K400K600K800K1000KSE +/- 8714.04, N = 31155033

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

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: MD5nvidiagpucompute20210724_214000M28000M42000M56000M70000MSE +/- 135322442.09, N = 366732000000

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

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: Yesnvidiagpucompute20210724_2714212835SE +/- 0.05, N = 328.96

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: Nonvidiagpucompute20210724_21.31092.62183.93275.24366.5545SE +/- 0.013, N = 35.826

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

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

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

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

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

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

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

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

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

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp32-scalarnvidiagpucompute20210724_24K8K12K16K20KSE +/- 93.91, N = 319962.06

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: Fishy Cat - Compute: NVIDIA OptiXnvidiagpucompute20210724_2510152025SE +/- 2.78, N = 1522.32

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

101 Results Shown

NeatBench
clpeak:
  Global Memory Bandwidth
  Double-Precision Double
  Single-Precision Float
  Integer Compute INT
MandelGPU
Blender:
  Pabellon Barcelona - NVIDIA OptiX
  Pabellon Barcelona - CUDA
  Barbershop - NVIDIA OptiX
  Classroom - NVIDIA OptiX
  Barbershop - CUDA
  Fishy Cat - CUDA
  Classroom - CUDA
  BMW27 - CUDA
IndigoBench:
  OpenCL GPU - Supercar
  OpenCL GPU - Bedroom
NCNN:
  Vulkan GPU - regnety_400m
  Vulkan GPU - squeezenet_ssd
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - resnet50
  Vulkan GPU - alexnet
  Vulkan GPU - resnet18
  Vulkan GPU - vgg16
  Vulkan GPU - googlenet
  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
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 - dAXPY
  CPU BLAS - dCOPY
  CPU BLAS - sDOT
  CPU BLAS - sAXPY
  CPU BLAS - sCOPY
FinanceBench
LuxCoreRender:
  Rainbow Colors and Prism - GPU
  LuxCore Benchmark - GPU
  Orange Juice - GPU
  Danish Mood - GPU
  DLSC - GPU
ArrayFire
Rodinia
FAHBench
OctaneBench
Betsy GPU Compressor:
  ETC2 RGB - Highest
  ETC1 - Highest
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
  SHA1
  MD5
Waifu2x-NCNN Vulkan
RealSR-NCNN:
  4x - Yes
  4x - No
vkpeak:
  int16-vec4
  int16-scalar
  int32-vec4
  int32-scalar
  fp64-vec4
  fp64-scalar
  fp16-vec4
  fp16-scalar
  fp32-vec4
  fp32-scalar
Blender:
  Fishy Cat - NVIDIA OptiX
  BMW27 - NVIDIA OptiX

nvidiagpucompute20210724_2

Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: Gigabyte X570 AORUS ULTRA (F33c BIOS), Chipset: AMD Starship/Matisse, Memory: 64GB, Disk: 240GB KINGSTON SA400S3 + 1000GB Seagate ST1000DM010-2EP1 + 4001GB Seagate ST4000DM004-2CV1, Graphics: eVGA NVIDIA GeForce RTX 3090 24GB, Audio: NVIDIA Device 1aef, Monitor: SAMSUNG, Network: Intel I211 + Intel Device 2723

OS: Debian 10, Kernel: 4.19.0-8-amd64 (x86_64), Desktop: GNOME Shell 3.30.2, Display Server: X Server 1.20.4, Display Driver: NVIDIA 470.57.02, OpenGL: 4.6.0, OpenCL: OpenCL 3.0 CUDA 11.4.94, Vulkan: 1.2.175, Compiler: GCC 8.3.0 + Clang 7.0.1-8+deb10u2, File-System: ext4, Screen Resolution: 3840x1080

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --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
Processor Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0xa201009
OpenCL Notes: GPU Compute Cores: 10496
Python Notes: Python 3.7.3
Security Notes: 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

Testing initiated at 24 July 2021 11:46 by user mikel.