nv-test-run

nvidia test run

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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
nvidia test run
July 23 2021
  6 Hours, 55 Minutes
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nvidia test run

Processor: AMD Ryzen 9 5900 12-Core @ 3.00GHz (12 Cores / 24 Threads), Motherboard: Alienware 0TYR0X (2.1.2 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: Kioxia KXG70PNV2T04 NVMe 2048GB, Graphics: NVIDIA GeForce RTX 3080 10GB, Audio: NVIDIA Device 1aef, Monitor: LEN L24q-30, Network: Realtek Device 2600 + Intel Wi-Fi 6 AX200

OS: Ubuntu 20.04, Kernel: 5.8.0-63-generic (x86_64), Desktop: GNOME Shell 3.36.9, Display Server: X Server 1.20.9, Display Driver: NVIDIA 470.57.02, OpenCL: OpenCL 3.0 CUDA 11.4.94, Vulkan: 1.2.175, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 2560x1440

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0xa201009
OpenCL Notes: GPU Compute Cores: 8704
Python Notes: Python 3.8.10
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: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

nv-test-runOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 5900 12-Core @ 3.00GHz (12 Cores / 24 Threads)Alienware 0TYR0X (2.1.2 BIOS)AMD Starship/Matisse32GBKioxia KXG70PNV2T04 NVMe 2048GBNVIDIA GeForce RTX 3080 10GBNVIDIA Device 1aefLEN L24q-30Realtek Device 2600 + Intel Wi-Fi 6 AX200Ubuntu 20.045.8.0-63-generic (x86_64)GNOME Shell 3.36.9X Server 1.20.9NVIDIA 470.57.02OpenCL 3.0 CUDA 11.4.941.2.175GCC 9.3.0ext42560x1440ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenCLVulkanCompilerFile-SystemScreen ResolutionNv-test-run BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0xa201009 - GPU Compute Cores: 8704- Python 3.8.10- 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: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

nv-test-runneatbench: 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-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-NTviennacl: CPU BLAS - dGEMM-TTviennacl: CPU BLAS - dGEMM-TNviennacl: 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 Scorevkresample: 2x - Singlevkresample: 2x - Doublebetsy: 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: MD5vkfft: waifu2x-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 OptiXnvidia test run3080662.28538.3029406.1915263.57413842119.752.49146.68375.9534.36448.2142.3461.4622.3946.15017.50811.7416.9525.3825.3812.2915.5257.5915.351.946.024.254.674.614.6814.2849649949837424059662855537147035340.042.042.840.383.676.344.934.322.914693.862.57.34626.738.259.086.409.491.5764.356315.4864566.50484811.271144.9914.5893.4090.14201648.7672.5354.42184.0013.529113.444833021.06265.63385.29036.79181918.0813.1379338.62970293323547666679551671862460000054531666667412363.51933.7816.36313785.1711203.8716945.4017022.36533.37532.8633156.8817093.1422559.7617147.7425.8914.37OpenBenchmarking.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: GPUnvidia test run70014002100280035003080

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 Bandwidthnvidia test run140280420560700SE +/- 0.09, N = 3662.281. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision Doublenvidia test run120240360480600SE +/- 1.33, N = 3538.301. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision Floatnvidia test run6K12K18K24K30KSE +/- 64.01, N = 329406.191. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTnvidia test run3K6K9K12K15KSE +/- 95.64, N = 315263.571. (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: GPUnvidia test run90M180M270M360M450MSE +/- 2312617.08, N = 3413842119.71. (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 OptiXnvidia test run1224364860SE +/- 0.04, N = 352.49

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Pabellon Barcelona - Compute: CUDAnvidia test run306090120150SE +/- 0.04, N = 3146.68

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Barbershop - Compute: NVIDIA OptiXnvidia test run80160240320400SE +/- 0.80, N = 3375.95

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Classroom - Compute: NVIDIA OptiXnvidia test run816243240SE +/- 0.03, N = 334.36

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Barbershop - Compute: CUDAnvidia test run100200300400500SE +/- 0.12, N = 3448.21

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Fishy Cat - Compute: CUDAnvidia test run1020304050SE +/- 0.01, N = 342.34

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Classroom - Compute: CUDAnvidia test run1428425670SE +/- 0.05, N = 361.46

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: BMW27 - Compute: CUDAnvidia test run510152025SE +/- 0.00, N = 322.39

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: Supercarnvidia test run1020304050SE +/- 0.02, N = 346.15

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: Bedroomnvidia test run48121620SE +/- 0.01, N = 317.51

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_400mnvidia test run3691215SE +/- 0.13, N = 311.74MIN: 11.16 / MAX: 22.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU - Model: squeezenet_ssdnvidia test run48121620SE +/- 0.10, N = 316.95MIN: 16.23 / MAX: 18.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU - Model: yolov4-tinynvidia test run612182430SE +/- 0.80, N = 325.38MIN: 23.07 / MAX: 36.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU - Model: resnet50nvidia test run612182430SE +/- 0.55, N = 325.38MIN: 23.77 / MAX: 36.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU - Model: alexnetnvidia test run3691215SE +/- 0.05, N = 312.29MIN: 11.92 / MAX: 12.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU - Model: resnet18nvidia test run48121620SE +/- 0.10, N = 315.52MIN: 14.96 / MAX: 22.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU - Model: vgg16nvidia test run1326395265SE +/- 0.20, N = 357.59MIN: 56.31 / MAX: 72.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU - Model: googlenetnvidia test run48121620SE +/- 0.25, N = 315.35MIN: 13.64 / MAX: 33.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU - Model: blazefacenvidia test run0.43650.8731.30951.7462.1825SE +/- 0.03, N = 31.94MIN: 1.83 / MAX: 2.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU - Model: efficientnet-b0nvidia test run246810SE +/- 0.03, N = 36.02MIN: 5.85 / MAX: 21.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU - Model: mnasnetnvidia test run0.95631.91262.86893.82524.7815SE +/- 0.01, N = 34.25MIN: 4.14 / MAX: 5.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU - Model: shufflenet-v2nvidia test run1.05082.10163.15244.20325.254SE +/- 0.02, N = 34.67MIN: 4.51 / MAX: 5.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3nvidia test run1.03732.07463.11194.14925.1865SE +/- 0.04, N = 34.61MIN: 4.45 / MAX: 14.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2nvidia test run1.0532.1063.1594.2125.265SE +/- 0.02, N = 34.68MIN: 4.55 / MAX: 6.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: Vulkan GPU - Model: mobilenetnvidia test run48121620SE +/- 0.14, N = 314.28MIN: 13.73 / MAX: 32.191. (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-TNnvidia test run110220330440550SE +/- 1.33, N = 34961. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NTnvidia test run110220330440550SE +/- 1.33, N = 34991. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NNnvidia test run110220330440550SE +/- 1.33, N = 34981. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-Tnvidia test run801602403204003741. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-Nnvidia test run501001502002502401. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dDOTnvidia test run130260390520650SE +/- 1.15, N = 35961. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dAXPYnvidia test run1402804205607006281. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dCOPYnvidia test run120240360480600SE +/- 0.33, N = 35551. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sDOTnvidia test run80160240320400SE +/- 0.58, N = 33711. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sAXPYnvidia test run100200300400500SE +/- 0.58, N = 34701. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sCOPYnvidia test run80160240320400SE +/- 0.67, N = 33531. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NTnvidia test run918273645SE +/- 0.10, N = 240.01. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TTnvidia test run1020304050SE +/- 0.10, N = 342.01. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TNnvidia test run1020304050SE +/- 0.12, N = 342.81. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NNnvidia test run918273645SE +/- 0.25, N = 340.31. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-Tnvidia test run20406080100SE +/- 0.20, N = 383.61. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-Nnvidia test run20406080100SE +/- 1.03, N = 376.31. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dDOTnvidia test run1020304050SE +/- 0.62, N = 344.91. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dAXPYnvidia test run816243240SE +/- 0.03, N = 334.31. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dCOPYnvidia test run510152025SE +/- 0.03, N = 322.91. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sDOTnvidia test run3060901201501461. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sAXPYnvidia test run20406080100SE +/- 0.33, N = 393.81. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sCOPYnvidia test run1428425670SE +/- 0.25, N = 362.51. (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 OpenCLnvidia test run246810SE +/- 0.028, N = 37.3461. (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: GPUnvidia test run612182430SE +/- 0.37, N = 326.73MIN: 24.94 / MAX: 28.91

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: LuxCore Benchmark - Acceleration: GPUnvidia test run246810SE +/- 0.04, N = 38.25MIN: 1.92 / MAX: 10.39

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Orange Juice - Acceleration: GPUnvidia test run3691215SE +/- 0.05, N = 39.08MIN: 7.22 / MAX: 11.54

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Danish Mood - Acceleration: GPUnvidia test run246810SE +/- 0.05, N = 156.40MIN: 1.46 / MAX: 8.47

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: DLSC - Acceleration: GPUnvidia test run3691215SE +/- 0.02, N = 39.49MIN: 9.15 / MAX: 9.75

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 OpenCLnvidia test run0.35460.70921.06381.41841.773SE +/- 0.004, N = 31.5761. (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 Filternvidia test run0.98011.96022.94033.92044.9005SE +/- 0.053, N = 44.3561. (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 2.3.2nvidia test run70140210280350SE +/- 0.17, N = 3315.49

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 Scorenvidia test run120240360480600566.50

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: Singlenvidia test run3691215SE +/- 0.02, N = 311.271. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Doublenvidia test run306090120150SE +/- 0.03, N = 3144.991. (CXX) g++ options: -O3 -pthread

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: Highestnvidia test run1.03252.0653.09754.135.1625SE +/- 0.026, N = 34.5891. (CXX) g++ options: -O3 -O2 -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC1 - Quality: Highestnvidia test run0.7671.5342.3013.0683.835SE +/- 0.007, N = 33.4091. (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 Atomsnvidia test run0.0320.0640.0960.1280.16SE +/- 0.00134, N = 60.14201

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: Writenvidia test run140280420560700SE +/- 0.54, N = 3648.71. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: Readnvidia test run150300450600750SE +/- 0.58, N = 3672.51. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: Copynvidia test run80160240320400SE +/- 0.12, N = 3354.41. (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 Bandwidthnvidia test run5001000150020002500SE +/- 1.12, N = 32184.001. (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 Readbacknvidia test run3691215SE +/- 0.00, N = 313.531. (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 Downloadnvidia test run3691215SE +/- 0.00, N = 313.441. (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 Flopsnvidia test run7K14K21K28K35KSE +/- 280.66, N = 333021.01. (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_Nnvidia test run13002600390052006500SE +/- 21.28, N = 36265.631. (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: Reductionnvidia test run80160240320400SE +/- 0.12, N = 3385.291. (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 Hashnvidia test run816243240SE +/- 0.09, N = 336.791. (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: FFT SPnvidia test run400800120016002000SE +/- 1.16, N = 31918.081. (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: Triadnvidia test run3691215SE +/- 0.00, N = 313.141. (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: S3Dnvidia test run70140210280350SE +/- 0.09, N = 3338.631. (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 + XTSnvidia test run150K300K450K600K750KSE +/- 1089.85, N = 3702933

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: SHA-512nvidia test run500M1000M1500M2000M2500MSE +/- 3777712.42, N = 32354766667

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: 7-Zipnvidia test run200K400K600K800K1000KSE +/- 240.37, N = 3955167

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: SHA1nvidia test run4000M8000M12000M16000M20000MSE +/- 14437566.74, N = 318624600000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: MD5nvidia test run12000M24000M36000M48000M60000MSE +/- 85507199.18, N = 354531666667

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 1.1.1nvidia test run9K18K27K36K45KSE +/- 372.44, N = 9412361. (CXX) g++ options: -O3 -pthread

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: Yesnvidia test run0.79181.58362.37543.16723.959SE +/- 0.003, N = 33.519

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: Yesnvidia test run816243240SE +/- 0.05, N = 333.78

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: Nonvidia test run246810SE +/- 0.024, N = 36.363

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-vec4nvidia test run3K6K9K12K15KSE +/- 2.91, N = 313785.17

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-scalarnvidia test run2K4K6K8K10KSE +/- 3.20, N = 311203.87

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-vec4nvidia test run4K8K12K16K20KSE +/- 30.65, N = 316945.40

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-scalarnvidia test run4K8K12K16K20KSE +/- 33.97, N = 317022.36

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-vec4nvidia test run120240360480600SE +/- 1.30, N = 3533.37

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-scalarnvidia test run120240360480600SE +/- 0.56, N = 3532.86

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-vec4nvidia test run7K14K21K28K35KSE +/- 146.61, N = 333156.88

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-scalarnvidia test run4K8K12K16K20KSE +/- 45.31, N = 317093.14

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp32-vec4nvidia test run5K10K15K20K25KSE +/- 172.93, N = 322559.76

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp32-scalarnvidia test run4K8K12K16K20KSE +/- 118.61, N = 317147.74

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 OptiXnvidia test run612182430SE +/- 2.94, N = 1525.89

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: BMW27 - Compute: NVIDIA OptiXnvidia test run48121620SE +/- 2.96, N = 1514.37

103 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-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-NT
  CPU BLAS - dGEMM-TT
  CPU BLAS - dGEMM-TN
  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
VkResample:
  2x - Single
  2x - Double
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
VkFFT
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

nvidia test run

Processor: AMD Ryzen 9 5900 12-Core @ 3.00GHz (12 Cores / 24 Threads), Motherboard: Alienware 0TYR0X (2.1.2 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: Kioxia KXG70PNV2T04 NVMe 2048GB, Graphics: NVIDIA GeForce RTX 3080 10GB, Audio: NVIDIA Device 1aef, Monitor: LEN L24q-30, Network: Realtek Device 2600 + Intel Wi-Fi 6 AX200

OS: Ubuntu 20.04, Kernel: 5.8.0-63-generic (x86_64), Desktop: GNOME Shell 3.36.9, Display Server: X Server 1.20.9, Display Driver: NVIDIA 470.57.02, OpenCL: OpenCL 3.0 CUDA 11.4.94, Vulkan: 1.2.175, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 2560x1440

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0xa201009
OpenCL Notes: GPU Compute Cores: 8704
Python Notes: Python 3.8.10
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: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 23 July 2021 21:51 by user suvil.