nvidia-linux-gpu-performance-20212

AMD Ryzen 9 5950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3202 BIOS) and NVIDIA GeForce RTX 2080 Ti 11GB on Ubuntu 20.10 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 2102075-PTS-NVIDIALI44
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  Test
  Duration
RTX 3080
February 06 2021
  5 Hours, 28 Minutes
RTX 3060 Ti
February 06 2021
  2 Hours, 24 Minutes
NVIDIA GeForce RTX 3060 Ti
February 06 2021
  15 Minutes
RTX 2070 SUPER
February 06 2021
  2 Hours, 45 Minutes
RTX 2060 SUPER
February 06 2021
  5 Hours, 28 Minutes
RTX 2080 SUPER
February 07 2021
  2 Hours, 48 Minutes
RTX 2080 Ti
February 07 2021
  4 Hours, 48 Minutes
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  3 Hours, 25 Minutes

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nvidia-linux-gpu-performance-20212 OpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3202 BIOS)AMD Starship/Matisse32GB2000GB Corsair Force MP600 + 2000GBNVIDIA GeForce RTX 3080 10GB (1710/9501MHz)NVIDIA GeForce RTX 3060 Ti 8GB (345/405MHz)NVIDIA GeForce RTX 3060 Ti 8GB (360/405MHz)NVIDIA GeForce RTX 2070 SUPER 8GB (1605/7000MHz)NVIDIA GeForce RTX 2060 SUPER 8GB (390/405MHz)NVIDIA GeForce RTX 2080 SUPER 8GB (1650/7750MHz)NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz)NVIDIA Device 1aefNVIDIA Device 228bNVIDIA TU104 HD AudioNVIDIA TU106 HD AudioNVIDIA TU102 HD AudioASUS MG28URealtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 20.105.8.0-41-generic (x86_64)GNOME Shell 3.38.2X Server 1.20.9NVIDIA 460.394.6.0OpenCL 1.2 CUDA 11.2.1361.2.155GCC 10.2.0 + Clang 11.0.1-1~oibaf~gext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudiosMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionNvidia-linux-gpu-performance-20212 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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/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 - RTX 3080: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201009 - RTX 3060 Ti: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0xa201009 - NVIDIA GeForce RTX 3060 Ti: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0xa201009 - RTX 2070 SUPER: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201009 - RTX 2060 SUPER: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201009 - RTX 2080 SUPER: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201009 - RTX 2080 Ti: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201009 - RTX 3080: GPU Compute Cores: 8704- RTX 3060 Ti: GPU Compute Cores: 4864- RTX 2070 SUPER: GPU Compute Cores: 2560- RTX 2060 SUPER: GPU Compute Cores: 2176- RTX 2080 SUPER: GPU Compute Cores: 3072- RTX 2080 Ti: GPU Compute Cores: 4352- RTX 3080, RTX 3060 Ti, RTX 2070 SUPER, RTX 2060 SUPER, RTX 2080 SUPER, RTX 2080 Ti: Python 3.8.6 - 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

nvidia-linux-gpu-performance-20212 realsr-ncnn: 4x - Norealsr-ncnn: 4x - Yeswaifu2x-ncnn: 2x - 3 - Yesvkfft: hashcat: MD5hashcat: SHA1hashcat: 7-Ziphashcat: SHA-512hashcat: TrueCrypt RIPEMD160 + XTSnamd-cuda: ATPase Simulation - 327,506 Atomsbetsy: ETC1 - Highestbetsy: ETC2 RGB - Highestvkresample: 2x - Doublevkresample: 2x - Singlewarsow: 1920 x 1080warsow: 1920 x 1200warsow: 2560 x 1440warsow: 3840 x 2160octanebench: Total Scoreredshift: rtiv: 1920 x 1080 - Cornell Boxrtiv: 1920 x 1200 - Cornell Boxrtiv: 2560 x 1440 - Cornell Boxrtiv: 3840 x 2160 - Cornell Boxrtiv: 1920 x 1080 - Cornell Box + Lucyrtiv: 1920 x 1200 - Cornell Box + Lucyrtiv: 2560 x 1440 - Cornell Box + Lucyrtiv: 3840 x 2160 - Cornell Box + Lucyrtiv: 1920 x 1080 - Lucy In One Weekendrtiv: 1920 x 1200 - Lucy In One Weekendrtiv: 2560 x 1440 - Lucy In One Weekendrtiv: 3840 x 2160 - Lucy In One Weekendrtiv: 1920 x 1080 - Planets In One Weekendrtiv: 1920 x 1200 - Planets In One Weekendrtiv: 2560 x 1440 - Planets In One Weekendrtiv: 3840 x 2160 - Planets In One Weekendrtiv: 1920 x 1080 - Ray Tracing In One Weekendrtiv: 1920 x 1200 - Ray Tracing In One Weekendrtiv: 2560 x 1440 - Ray Tracing In One Weekendrtiv: 3840 x 2160 - Ray Tracing In One Weekendparaview: Many Spheres - 1920 x 1080paraview: Many Spheres - 1920 x 1080paraview: Many Spheres - 3840 x 2160paraview: Many Spheres - 3840 x 2160paraview: Wavelet Volume - 1920 x 1080paraview: Wavelet Volume - 1920 x 1080paraview: Wavelet Volume - 3840 x 2160paraview: Wavelet Volume - 3840 x 2160paraview: Wavelet Contour - 1920 x 1080paraview: Wavelet Contour - 1920 x 1080paraview: Wavelet Contour - 3840 x 2160paraview: Wavelet Contour - 3840 x 2160fahbench: lczero: OpenCLfinancebench: Monte-Carlo OpenCLfinancebench: Black-Scholes OpenCLdarktable: Boat - OpenCLdarktable: Masskrug - OpenCLdarktable: Server Rack - OpenCLdarktable: Server Room - OpenCLncnn: 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 - Supercarv-ray: NVIDIA RTX GPUv-ray: NVIDIA CUDA GPURTX 3080RTX 3060 TiNVIDIA GeForce RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti6.25034.1143.43956583560396666671909886666799056724204000007218670.132913.3284.416148.00511.232963.6985.7984.8830.2562.818641164117.91997.199767.475931.966859.092048.429033.942216.441357.822348.693933.054516.431263.796957.148236.536217.551262.731255.541735.618517.135978.217841.29976.617680.539662.9210606.699339.425430.654515.655373.698333.823478.835321.998631897386.0469977.3071.2822.0900.0950.70612.204.484.214.443.995.411.8512.8258.8314.4311.1224.9721.3814.4817.8517.65046.405218316668.76154.0964.37235228329403666671106823333358596714146333334267000.136145.0096.794266.21017.658980.4974.5983.3499.6382.73665124168.320555.766138.598518.494334.068327.894619.54519.3931433.719629.099919.52879.6078136.736532.599220.97579.9965235.882331.803320.48109.7603844.644475.50144.404451.593473.637578.143208.933342.870304.133169.404216.012251.061237.0623461.67634113.1381.7132.1210.1010.77713.274.504.144.443.985.421.8813.5958.9014.7811.7226.9823.3814.7418.0011.45233.992155011859.90163.0204.68932063353981666671112146666759636714242000004262000.148235.4567.330262.24919.469979.2986.0953.3437.6261.26130234861.705950.731235.275016.791224.596420.063514.10306.7771726.275322.790215.65507.9315339.982535.465422.745310.826239.143334.658722.261210.637144.884499.12743.964407.226482.207715.261205.523288.286354.213691.347220.652299.463232.7775816.00999012.8041.7092.1560.0970.77612.874.584.214.464.075.501.8613.4458.4914.7012.0925.6322.3914.2717.967.77624.70697778511.50175.7555.2623100029280266667934176666749556711879333333512000.158576.0328.394309.18522.234977.5985.2696.3353.3241.44532537952.153442.937229.887014.184821.836917.845012.43735.9760223.307020.172513.75686.8720633.888630.180919.33439.1788633.208329.486118.95268.9963338.153824.55737.393748.650426.746827.820177.972847.497274.702862.737178.451859.637208.7075752.41398116.4863331.7162.1180.0970.72312.534.504.214.464.015.451.8712.8558.9914.4411.1525.3921.9414.4717.987.39223.3117334929.01054.8954.34734719423930333331342040000069250017084333335206730.148945.2966.831217.31117.779979.7985.7983.2494.2262.84367732875.244661.680942.880020.336125.752921.119714.87087.1478428.447124.589017.14988.8261648.345243.046327.512313.146747.523042.064926.953812.871954.325446.21253.105323.265534.488551.751240.833853.392405.494225.680251.052616.200257.9896843.45265710.6101.5912.1690.0970.75613.314.614.254.574.095.571.8713.5761.1115.1512.2626.6323.0714.6718.657.84525.3269057427.50643.8163.77642152552981000001771843333389486722392666676570670.140843.8225.008155.74314.780979.3985.9985.7553.5358.549904246102.06084.001257.953527.575037.786231.024221.800510.536940.417835.017824.371912.467364.497057.429036.757117.637063.304656.239536.079417.307374.507469.29272.787296.592600.419606.532308.484935.743450.114690.748293.633059.954307.2028649.8206589.2261.4852.0840.0960.71012.974.504.194.474.035.451.8413.2959.0214.5111.2024.9822.0814.4118.0011.01233.2361246926OpenBenchmarking.org

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: NoRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti3691215SE +/- 0.044, N = 3SE +/- 0.053, N = 3SE +/- 0.038, N = 3SE +/- 0.118, N = 5SE +/- 0.240, N = 14SE +/- 0.058, N = 36.2508.7619.90111.5019.0107.506

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti20406080100SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.27, N = 3SE +/- 0.30, N = 3SE +/- 0.16, N = 3SE +/- 0.23, N = 334.1154.1063.0275.7654.9043.82

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: YesRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti1.1842.3683.5524.7365.92SE +/- 0.006, N = 3SE +/- 0.004, N = 3SE +/- 0.017, N = 3SE +/- 0.066, N = 3SE +/- 0.020, N = 3SE +/- 0.012, N = 33.4394.3724.6895.2624.3473.776

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 1.1.1RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti12K24K36K48K60KSE +/- 23.59, N = 3SE +/- 17.02, N = 3SE +/- 134.01, N = 3SE +/- 4.98, N = 3SE +/- 9.33, N = 3SE +/- 109.70, N = 35658335228320633100034719421521. (CXX) g++ options: -O3 -pthread

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: MD5RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti12000M24000M36000M48000M60000MSE +/- 64449006.54, N = 3SE +/- 46443813.13, N = 3SE +/- 25610045.77, N = 3SE +/- 14634472.24, N = 3SE +/- 44071015.92, N = 3SE +/- 36241182.84, N = 3560396666673294036666735398166667292802666674239303333355298100000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: SHA1RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti4000M8000M12000M16000M20000MSE +/- 26464462.54, N = 3SE +/- 7377744.31, N = 3SE +/- 12109546.28, N = 3SE +/- 5454763.46, N = 3SE +/- 1527525.23, N = 3SE +/- 29255901.59, N = 319098866667110682333331112146666793417666671342040000017718433333

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: 7-ZipRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti200K400K600K800K1000KSE +/- 1449.52, N = 3SE +/- 1047.75, N = 3SE +/- 1146.49, N = 3SE +/- 1083.72, N = 3SE +/- 6986.65, N = 3SE +/- 2234.08, N = 3990567585967596367495567692500894867

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: SHA-512RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti500M1000M1500M2000M2500MSE +/- 2514623.90, N = 3SE +/- 536449.23, N = 3SE +/- 1276714.53, N = 3SE +/- 633333.33, N = 3SE +/- 1980179.57, N = 3SE +/- 982061.32, N = 3242040000014146333331424200000118793333317084333332239266667

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: TrueCrypt RIPEMD160 + XTSRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti150K300K450K600K750KSE +/- 560.75, N = 3SE +/- 1006.64, N = 3SE +/- 360.56, N = 3SE +/- 173.21, N = 3SE +/- 4356.82, N = 15SE +/- 592.55, N = 3721867426700426200351200520673657067

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 AtomsRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti0.03570.07140.10710.14280.1785SE +/- 0.00128, N = 3SE +/- 0.00015, N = 3SE +/- 0.00031, N = 3SE +/- 0.00029, N = 3SE +/- 0.00049, N = 3SE +/- 0.00010, N = 30.132910.136140.148230.158570.148940.14084

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: HighestRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti246810SE +/- 0.024, N = 3SE +/- 0.041, N = 3SE +/- 0.021, N = 3SE +/- 0.016, N = 3SE +/- 0.028, N = 3SE +/- 0.036, N = 73.3285.0095.4566.0325.2963.8221. (CXX) g++ options: -O3 -O2 -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC2 RGB - Quality: HighestRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti246810SE +/- 0.011, N = 3SE +/- 0.009, N = 3SE +/- 0.011, N = 3SE +/- 0.011, N = 3SE +/- 0.006, N = 3SE +/- 0.006, N = 34.4166.7947.3308.3946.8315.0081. (CXX) g++ options: -O3 -O2 -lpthread -ldl

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: DoubleRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti70140210280350SE +/- 0.11, N = 3SE +/- 0.15, N = 3SE +/- 0.63, N = 3SE +/- 0.24, N = 3SE +/- 0.53, N = 3SE +/- 0.08, N = 3148.01266.21262.25309.19217.31155.741. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti510152025SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 311.2317.6619.4722.2317.7814.781. (CXX) g++ options: -O3 -pthread

Warsow

This is a benchmark of Warsow, a popular open-source first-person shooter. This game uses the QFusion engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 2.5 BetaResolution: 1920 x 1080RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti2004006008001000SE +/- 13.18, N = 3SE +/- 5.01, N = 3SE +/- 6.42, N = 3SE +/- 6.77, N = 3SE +/- 6.93, N = 3SE +/- 6.45, N = 3963.6980.4979.2977.5979.7979.3

OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 2.5 BetaResolution: 1920 x 1200RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti2004006008001000SE +/- 0.37, N = 3SE +/- 5.47, N = 3SE +/- 0.46, N = 3SE +/- 0.52, N = 3SE +/- 0.55, N = 3SE +/- 0.20, N = 3985.7974.5986.0985.2985.7985.9

OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 2.5 BetaResolution: 2560 x 1440RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti2004006008001000SE +/- 0.15, N = 3SE +/- 0.68, N = 3SE +/- 0.97, N = 3SE +/- 2.47, N = 3SE +/- 0.29, N = 3SE +/- 0.33, N = 3984.8983.3953.3696.3983.2985.7

OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 2.5 BetaResolution: 3840 x 2160RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti2004006008001000SE +/- 2.63, N = 3SE +/- 1.22, N = 3SE +/- 0.30, N = 3SE +/- 0.73, N = 3SE +/- 0.52, N = 3SE +/- 0.61, N = 3830.2499.6437.6353.3494.2553.5

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 ScoreRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti120240360480600562.82382.74261.26241.45262.84358.55

RedShift Demo

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRedShift Demo 3.0RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti80160240320400SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3164241348379328246

Ray Tracing In Vulkan

OpenBenchmarking.orgFPS, More Is BetterRay Tracing In Vulkan r6Resolution: 1920 x 1080 - Scene: Cornell BoxRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti306090120150SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 3117.9268.3261.7152.1575.24102.061. (CXX) g++ options: -O3 -lbacktrace -lstdc++fs -lm -ldl -lpthread

OpenBenchmarking.orgFPS, More Is BetterRay Tracing In Vulkan r6Resolution: 1920 x 1200 - Scene: Cornell BoxRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti20406080100SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 397.2055.7750.7342.9461.6884.001. (CXX) g++ options: -O3 -lbacktrace -lstdc++fs -lm -ldl -lpthread

OpenBenchmarking.orgFPS, More Is BetterRay Tracing In Vulkan r6Resolution: 2560 x 1440 - Scene: Cornell BoxRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti1530456075SE +/- 0.18, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 367.4838.6035.2829.8942.8857.951. (CXX) g++ options: -O3 -lbacktrace -lstdc++fs -lm -ldl -lpthread

OpenBenchmarking.orgFPS, More Is BetterRay Tracing In Vulkan r6Resolution: 3840 x 2160 - Scene: Cornell BoxRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti714212835SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 331.9718.4916.7914.1820.3427.581. (CXX) g++ options: -O3 -lbacktrace -lstdc++fs -lm -ldl -lpthread

OpenBenchmarking.orgFPS, More Is BetterRay Tracing In Vulkan r6Resolution: 1920 x 1080 - Scene: Cornell Box + LucyRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti1326395265SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 359.0934.0724.6021.8425.7537.791. (CXX) g++ options: -O3 -lbacktrace -lstdc++fs -lm -ldl -lpthread

OpenBenchmarking.orgFPS, More Is BetterRay Tracing In Vulkan r6Resolution: 1920 x 1200 - Scene: Cornell Box + LucyRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti1122334455SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 348.4327.8920.0617.8521.1231.021. (CXX) g++ options: -O3 -lbacktrace -lstdc++fs -lm -ldl -lpthread

OpenBenchmarking.orgFPS, More Is BetterRay Tracing In Vulkan r6Resolution: 2560 x 1440 - Scene: Cornell Box + LucyRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti816243240SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 333.9419.5514.1012.4414.8721.801. (CXX) g++ options: -O3 -lbacktrace -lstdc++fs -lm -ldl -lpthread

OpenBenchmarking.orgFPS, More Is BetterRay Tracing In Vulkan r6Resolution: 3840 x 2160 - Scene: Cornell Box + LucyRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti48121620SE +/- 0.00971, N = 3SE +/- 0.00090, N = 3SE +/- 0.01081, N = 3SE +/- 0.00374, N = 3SE +/- 0.00445, N = 3SE +/- 0.00654, N = 316.441309.393146.777175.976027.1478410.536901. (CXX) g++ options: -O3 -lbacktrace -lstdc++fs -lm -ldl -lpthread

OpenBenchmarking.orgFPS, More Is BetterRay Tracing In Vulkan r6Resolution: 1920 x 1080 - Scene: Lucy In One WeekendRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti1326395265SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 357.8233.7226.2823.3128.4540.421. (CXX) g++ options: -O3 -lbacktrace -lstdc++fs -lm -ldl -lpthread

OpenBenchmarking.orgFPS, More Is BetterRay Tracing In Vulkan r6Resolution: 1920 x 1200 - Scene: Lucy In One WeekendRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti1122334455SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 348.6929.1022.7920.1724.5935.021. (CXX) g++ options: -O3 -lbacktrace -lstdc++fs -lm -ldl -lpthread

OpenBenchmarking.orgFPS, More Is BetterRay Tracing In Vulkan r6Resolution: 2560 x 1440 - Scene: Lucy In One WeekendRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti816243240SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 333.0519.5315.6613.7617.1524.371. (CXX) g++ options: -O3 -lbacktrace -lstdc++fs -lm -ldl -lpthread

OpenBenchmarking.orgFPS, More Is BetterRay Tracing In Vulkan r6Resolution: 3840 x 2160 - Scene: Lucy In One WeekendRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti48121620SE +/- 0.01030, N = 3SE +/- 0.00111, N = 3SE +/- 0.00227, N = 3SE +/- 0.00320, N = 3SE +/- 0.00442, N = 3SE +/- 0.00880, N = 316.431209.607817.931536.872068.8261612.467301. (CXX) g++ options: -O3 -lbacktrace -lstdc++fs -lm -ldl -lpthread

OpenBenchmarking.orgFPS, More Is BetterRay Tracing In Vulkan r6Resolution: 1920 x 1080 - Scene: Planets In One WeekendRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti1428425670SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.22, N = 363.8036.7439.9833.8948.3564.501. (CXX) g++ options: -O3 -lbacktrace -lstdc++fs -lm -ldl -lpthread

OpenBenchmarking.orgFPS, More Is BetterRay Tracing In Vulkan r6Resolution: 1920 x 1200 - Scene: Planets In One WeekendRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti1326395265SE +/- 0.15, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 357.1532.6035.4730.1843.0557.431. (CXX) g++ options: -O3 -lbacktrace -lstdc++fs -lm -ldl -lpthread

OpenBenchmarking.orgFPS, More Is BetterRay Tracing In Vulkan r6Resolution: 2560 x 1440 - Scene: Planets In One WeekendRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti816243240SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 336.5420.9822.7519.3327.5136.761. (CXX) g++ options: -O3 -lbacktrace -lstdc++fs -lm -ldl -lpthread

OpenBenchmarking.orgFPS, More Is BetterRay Tracing In Vulkan r6Resolution: 3840 x 2160 - Scene: Planets In One WeekendRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti48121620SE +/- 0.00529, N = 3SE +/- 0.00065, N = 3SE +/- 0.00074, N = 3SE +/- 0.00967, N = 3SE +/- 0.00055, N = 3SE +/- 0.00677, N = 317.551209.9965210.826209.1788613.1467017.637001. (CXX) g++ options: -O3 -lbacktrace -lstdc++fs -lm -ldl -lpthread

OpenBenchmarking.orgFPS, More Is BetterRay Tracing In Vulkan r6Resolution: 1920 x 1080 - Scene: Ray Tracing In One WeekendRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti1428425670SE +/- 0.23, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.15, N = 362.7335.8839.1433.2147.5263.301. (CXX) g++ options: -O3 -lbacktrace -lstdc++fs -lm -ldl -lpthread

OpenBenchmarking.orgFPS, More Is BetterRay Tracing In Vulkan r6Resolution: 1920 x 1200 - Scene: Ray Tracing In One WeekendRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti1326395265SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 355.5431.8034.6629.4942.0656.241. (CXX) g++ options: -O3 -lbacktrace -lstdc++fs -lm -ldl -lpthread

OpenBenchmarking.orgFPS, More Is BetterRay Tracing In Vulkan r6Resolution: 2560 x 1440 - Scene: Ray Tracing In One WeekendRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti816243240SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 335.6220.4822.2618.9526.9536.081. (CXX) g++ options: -O3 -lbacktrace -lstdc++fs -lm -ldl -lpthread

OpenBenchmarking.orgFPS, More Is BetterRay Tracing In Vulkan r6Resolution: 3840 x 2160 - Scene: Ray Tracing In One WeekendRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti48121620SE +/- 0.00227, N = 3SE +/- 0.00160, N = 3SE +/- 0.02386, N = 3SE +/- 0.00026, N = 3SE +/- 0.00003, N = 3SE +/- 0.00581, N = 317.135909.7603810.637108.9963312.8719017.307301. (CXX) g++ options: -O3 -lbacktrace -lstdc++fs -lm -ldl -lpthread

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Paraview describes itself as "an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 1920 x 1080RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti20406080100SE +/- 0.20, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.16, N = 3SE +/- 0.17, N = 378.2144.6444.8838.1554.3274.50

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 1920 x 1080RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti2K4K6K8K10KSE +/- 20.20, N = 3SE +/- 3.55, N = 3SE +/- 10.38, N = 3SE +/- 9.03, N = 3SE +/- 16.45, N = 3SE +/- 17.40, N = 37841.304475.504499.133824.565446.217469.29

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 3840 x 2160RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti20406080100SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 376.6144.4043.9637.3953.1072.78

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 3840 x 2160RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti16003200480064008000SE +/- 11.77, N = 3SE +/- 5.00, N = 3SE +/- 1.45, N = 3SE +/- 2.20, N = 3SE +/- 1.58, N = 3SE +/- 7.19, N = 37680.544451.594407.233748.655323.277296.59

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 1920 x 1080RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti140280420560700SE +/- 2.15, N = 3SE +/- 5.06, N = 5SE +/- 1.38, N = 3SE +/- 1.68, N = 3SE +/- 0.91, N = 3SE +/- 4.49, N = 3662.92473.63482.20426.74534.48600.41

OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 1920 x 1080RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti2K4K6K8K10KSE +/- 34.46, N = 3SE +/- 81.03, N = 5SE +/- 22.07, N = 3SE +/- 26.87, N = 3SE +/- 14.53, N = 3SE +/- 71.88, N = 310606.707578.147715.266827.828551.759606.53

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 3840 x 2160RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti70140210280350SE +/- 1.36, N = 3SE +/- 1.26, N = 3SE +/- 0.45, N = 3SE +/- 0.24, N = 3SE +/- 0.89, N = 3SE +/- 1.70, N = 3339.42208.93205.52177.97240.83308.48

OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 3840 x 2160RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti12002400360048006000SE +/- 21.74, N = 3SE +/- 20.25, N = 3SE +/- 7.19, N = 3SE +/- 3.77, N = 3SE +/- 14.19, N = 3SE +/- 27.20, N = 35430.653342.873288.292847.503853.394935.74

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 1920 x 1080RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti110220330440550SE +/- 3.61, N = 3SE +/- 1.55, N = 3SE +/- 0.98, N = 3SE +/- 1.38, N = 3SE +/- 3.49, N = 3SE +/- 0.71, N = 3515.65304.13354.21274.70405.49450.11

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 1920 x 1080RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti12002400360048006000SE +/- 37.60, N = 3SE +/- 16.12, N = 3SE +/- 10.22, N = 3SE +/- 14.35, N = 3SE +/- 36.34, N = 3SE +/- 7.41, N = 35373.703169.403691.352862.744225.684690.75

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 3840 x 2160RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti70140210280350SE +/- 2.78, N = 15SE +/- 2.47, N = 3SE +/- 1.12, N = 3SE +/- 1.22, N = 3SE +/- 1.93, N = 10SE +/- 1.21, N = 3333.82216.01220.65178.45251.05293.63

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 3840 x 2160RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti7001400210028003500SE +/- 28.95, N = 15SE +/- 25.69, N = 3SE +/- 11.62, N = 3SE +/- 12.72, N = 3SE +/- 20.11, N = 10SE +/- 12.62, N = 33478.842251.062299.461859.642616.203059.95

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 2.3.2RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti70140210280350SE +/- 0.54, N = 3SE +/- 0.24, N = 3SE +/- 0.78, N = 3SE +/- 0.46, N = 3SE +/- 0.56, N = 3SE +/- 0.96, N = 3322.00237.06232.78208.71257.99307.20

LeelaChessZero

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

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: OpenCLRTX 30807K14K21K28K35KSE +/- 256.06, N = 3318971. (CXX) g++ options: -flto -pthread

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: Monte-Carlo OpenCLRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti2004006008001000SE +/- 1.21, N = 3SE +/- 1.66, N = 3SE +/- 0.43, N = 3SE +/- 0.57, N = 3SE +/- 0.99, N = 3SE +/- 0.61, N = 3386.05461.68816.01752.41843.45649.821. (CXX) g++ options: -O3 -march=native -fopenmp

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Black-Scholes OpenCLRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti48121620SE +/- 0.014468, N = 3SE +/- 0.179234, N = 3SE +/- 0.083319, N = 3SE +/- 0.196835, N = 3SE +/- 0.084311, N = 9SE +/- 0.016231, N = 37.30700013.13800012.80400016.48633310.6100009.2260001. (CXX) g++ options: -O3 -march=native -fopenmp

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Boat - Acceleration: OpenCLRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti0.38610.77221.15831.54441.9305SE +/- 0.006, N = 3SE +/- 0.004, N = 3SE +/- 0.008, N = 3SE +/- 0.005, N = 3SE +/- 0.007, N = 3SE +/- 0.010, N = 31.2821.7131.7091.7161.5911.485

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Masskrug - Acceleration: OpenCLRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti0.4880.9761.4641.9522.44SE +/- 0.006, N = 3SE +/- 0.004, N = 3SE +/- 0.007, N = 3SE +/- 0.003, N = 3SE +/- 0.010, N = 3SE +/- 0.006, N = 32.0902.1212.1562.1182.1692.084

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Rack - Acceleration: OpenCLRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti0.02270.04540.06810.09080.1135SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.0950.1010.0970.0970.0970.096

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Room - Acceleration: OpenCLRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti0.17480.34960.52440.69920.874SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.007, N = 30.7060.7770.7760.7230.7560.710

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 20201218Target: Vulkan GPU - Model: mobilenetRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti3691215SE +/- 0.09, N = 15SE +/- 0.19, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 15SE +/- 0.09, N = 3SE +/- 0.09, N = 1312.2013.2712.8712.5313.3112.97MIN: 11.81 / MAX: 13.49MIN: 12.64 / MAX: 14.87MIN: 12.38 / MAX: 13.65MIN: 11.86 / MAX: 26MIN: 12.41 / MAX: 30.9MIN: 12.36 / MAX: 22.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti1.03732.07463.11194.14925.1865SE +/- 0.00, N = 15SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 15SE +/- 0.01, N = 3SE +/- 0.00, N = 134.484.504.584.504.614.50MIN: 4.3 / MAX: 5.1MIN: 4.28 / MAX: 5.73MIN: 4.3 / MAX: 28.29MIN: 4.3 / MAX: 5.72MIN: 4.31 / MAX: 6.2MIN: 4.29 / MAX: 6.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti0.95631.91262.86893.82524.7815SE +/- 0.02, N = 15SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 15SE +/- 0.01, N = 3SE +/- 0.01, N = 134.214.144.214.214.254.19MIN: 4.1 / MAX: 6.19MIN: 4.06 / MAX: 5.35MIN: 4.12 / MAX: 5.49MIN: 4.09 / MAX: 5.44MIN: 4.1 / MAX: 8.02MIN: 4.08 / MAX: 5.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v2RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti1.02832.05663.08494.11325.1415SE +/- 0.01, N = 15SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 15SE +/- 0.00, N = 3SE +/- 0.02, N = 124.444.444.464.464.574.47MIN: 4.35 / MAX: 6.25MIN: 4.34 / MAX: 5.43MIN: 4.36 / MAX: 6.1MIN: 4.36 / MAX: 19.04MIN: 4.41 / MAX: 6MIN: 4.32 / MAX: 5.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnetRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti0.92031.84062.76093.68124.6015SE +/- 0.00, N = 15SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 15SE +/- 0.01, N = 3SE +/- 0.04, N = 133.993.984.074.014.094.03MIN: 3.85 / MAX: 4.5MIN: 3.84 / MAX: 5.19MIN: 3.84 / MAX: 5.04MIN: 3.85 / MAX: 6.06MIN: 3.88 / MAX: 5.64MIN: 3.82 / MAX: 5.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b0RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti1.25332.50663.75995.01326.2665SE +/- 0.01, N = 15SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 15SE +/- 0.01, N = 3SE +/- 0.04, N = 135.415.425.505.455.575.45MIN: 5.3 / MAX: 14.74MIN: 5.3 / MAX: 9.74MIN: 5.31 / MAX: 9.38MIN: 5.31 / MAX: 14.05MIN: 5.34 / MAX: 7.4MIN: 5.28 / MAX: 6.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazefaceRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti0.4230.8461.2691.6922.115SE +/- 0.01, N = 15SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 15SE +/- 0.01, N = 3SE +/- 0.01, N = 131.851.881.861.871.871.84MIN: 1.8 / MAX: 2.32MIN: 1.8 / MAX: 7.07MIN: 1.8 / MAX: 2.1MIN: 1.79 / MAX: 2.29MIN: 1.8 / MAX: 2.36MIN: 1.8 / MAX: 2.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenetRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti3691215SE +/- 0.02, N = 15SE +/- 0.77, N = 3SE +/- 0.68, N = 3SE +/- 0.04, N = 15SE +/- 0.21, N = 3SE +/- 0.25, N = 1312.8213.5913.4412.8513.5713.29MIN: 12.43 / MAX: 22.33MIN: 12.49 / MAX: 16.77MIN: 12.44 / MAX: 24.56MIN: 12.46 / MAX: 21.99MIN: 12.61 / MAX: 15.4MIN: 12.5 / MAX: 27.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg16RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti1428425670SE +/- 0.06, N = 15SE +/- 0.18, N = 3SE +/- 0.40, N = 3SE +/- 0.04, N = 15SE +/- 0.50, N = 3SE +/- 0.05, N = 1358.8358.9058.4958.9961.1159.02MIN: 57.03 / MAX: 117.59MIN: 57.26 / MAX: 90.67MIN: 56.35 / MAX: 60.41MIN: 57.66 / MAX: 83.72MIN: 57.69 / MAX: 129.41MIN: 57.58 / MAX: 72.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti48121620SE +/- 0.02, N = 15SE +/- 0.45, N = 3SE +/- 0.36, N = 3SE +/- 0.06, N = 15SE +/- 0.15, N = 3SE +/- 0.15, N = 1314.4314.7814.7014.4415.1514.51MIN: 14.25 / MAX: 27.77MIN: 14.12 / MAX: 17.41MIN: 14.18 / MAX: 23.66MIN: 14.17 / MAX: 32.3MIN: 14.24 / MAX: 28.92MIN: 14.09 / MAX: 16.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnetRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti3691215SE +/- 0.10, N = 15SE +/- 0.57, N = 3SE +/- 0.61, N = 3SE +/- 0.14, N = 15SE +/- 0.55, N = 3SE +/- 0.19, N = 1311.1211.7212.0911.1512.2611.20MIN: 10.81 / MAX: 24.77MIN: 10.8 / MAX: 44.26MIN: 10.8 / MAX: 13.2MIN: 10.78 / MAX: 13.1MIN: 10.76 / MAX: 16.88MIN: 10.71 / MAX: 13.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet50RTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti612182430SE +/- 0.22, N = 15SE +/- 0.14, N = 3SE +/- 0.36, N = 3SE +/- 0.27, N = 15SE +/- 0.60, N = 3SE +/- 0.25, N = 1324.9726.9825.6325.3926.6324.98MIN: 24.2 / MAX: 30.79MIN: 24.63 / MAX: 46.48MIN: 24.31 / MAX: 35.26MIN: 24.28 / MAX: 43.07MIN: 24.4 / MAX: 46.26MIN: 23.79 / MAX: 34.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tinyRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti612182430SE +/- 0.22, N = 15SE +/- 0.09, N = 3SE +/- 0.59, N = 3SE +/- 0.27, N = 15SE +/- 0.78, N = 3SE +/- 0.31, N = 1321.3823.3822.3921.9423.0722.08MIN: 20.7 / MAX: 38.06MIN: 22.85 / MAX: 25.03MIN: 20.98 / MAX: 23.83MIN: 20.72 / MAX: 25.98MIN: 20.78 / MAX: 30.08MIN: 20.68 / MAX: 34.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssdRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti48121620SE +/- 0.07, N = 14SE +/- 0.21, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 15SE +/- 0.04, N = 3SE +/- 0.05, N = 1314.4814.7414.2714.4714.6714.41MIN: 13.79 / MAX: 24.15MIN: 14.07 / MAX: 16.1MIN: 13.95 / MAX: 14.61MIN: 13.92 / MAX: 16.43MIN: 14.1 / MAX: 19.06MIN: 13.6 / MAX: 27.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400mRTX 3080RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 Ti510152025SE +/- 0.02, N = 15SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 15SE +/- 0.15, N = 3SE +/- 0.07, N = 1317.8518.0017.9617.9818.6518.00MIN: 17.56 / MAX: 27.39MIN: 17.41 / MAX: 27.83MIN: 17.61 / MAX: 19.15MIN: 17.54 / MAX: 27.13MIN: 17.68 / MAX: 41.61MIN: 17.4 / MAX: 35.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: BedroomNVIDIA GeForce RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiRTX 308048121620SE +/- 0.011, N = 3SE +/- 0.004, N = 3SE +/- 0.011, N = 3SE +/- 0.002, N = 3SE +/- 0.010, N = 3SE +/- 0.045, N = 311.4527.7767.3927.84511.01217.650

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: SupercarNVIDIA GeForce RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiRTX 30801122334455SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 333.9924.7123.3125.3333.2446.41

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. V-RAY is a commercial renderer that can integrate with various creator software products like SketchUp and 3ds Max. The V-RAY benchmark is standalone and supports CPU and NVIDIA CUDA/RTX based rendering. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgvrays, More Is BetterChaos Group V-RAY 5Mode: NVIDIA RTX GPUNVIDIA GeForce RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiRTX 30805001000150020002500SE +/- 1.45, N = 3SE +/- 1.00, N = 3SE +/- 5.69, N = 3155097773390512462183

OpenBenchmarking.orgvpaths, More Is BetterChaos Group V-RAY 5Mode: NVIDIA CUDA GPUNVIDIA GeForce RTX 3060 TiRTX 2070 SUPERRTX 2060 SUPERRTX 2080 SUPERRTX 2080 TiRTX 3080400800120016002000SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 311857854927429261666

79 Results Shown

RealSR-NCNN:
  4x - No
  4x - Yes
Waifu2x-NCNN Vulkan
VkFFT
Hashcat:
  MD5
  SHA1
  7-Zip
  SHA-512
  TrueCrypt RIPEMD160 + XTS
NAMD CUDA
Betsy GPU Compressor:
  ETC1 - Highest
  ETC2 RGB - Highest
VkResample:
  2x - Double
  2x - Single
Warsow:
  1920 x 1080
  1920 x 1200
  2560 x 1440
  3840 x 2160
OctaneBench
RedShift Demo
Ray Tracing In Vulkan:
  1920 x 1080 - Cornell Box
  1920 x 1200 - Cornell Box
  2560 x 1440 - Cornell Box
  3840 x 2160 - Cornell Box
  1920 x 1080 - Cornell Box + Lucy
  1920 x 1200 - Cornell Box + Lucy
  2560 x 1440 - Cornell Box + Lucy
  3840 x 2160 - Cornell Box + Lucy
  1920 x 1080 - Lucy In One Weekend
  1920 x 1200 - Lucy In One Weekend
  2560 x 1440 - Lucy In One Weekend
  3840 x 2160 - Lucy In One Weekend
  1920 x 1080 - Planets In One Weekend
  1920 x 1200 - Planets In One Weekend
  2560 x 1440 - Planets In One Weekend
  3840 x 2160 - Planets In One Weekend
  1920 x 1080 - Ray Tracing In One Weekend
  1920 x 1200 - Ray Tracing In One Weekend
  2560 x 1440 - Ray Tracing In One Weekend
  3840 x 2160 - Ray Tracing In One Weekend
ParaView:
  Many Spheres - 1920 x 1080:
    Frames / Sec
    MiPolys / Sec
  Many Spheres - 3840 x 2160:
    Frames / Sec
    MiPolys / Sec
  Wavelet Volume - 1920 x 1080:
    Frames / Sec
    MiVoxels / Sec
  Wavelet Volume - 3840 x 2160:
    Frames / Sec
    MiVoxels / Sec
  Wavelet Contour - 1920 x 1080:
    Frames / Sec
    MiPolys / Sec
  Wavelet Contour - 3840 x 2160:
    Frames / Sec
    MiPolys / Sec
FAHBench
LeelaChessZero
FinanceBench:
  Monte-Carlo OpenCL
  Black-Scholes OpenCL
Darktable:
  Boat - OpenCL
  Masskrug - OpenCL
  Server Rack - OpenCL
  Server Room - OpenCL
NCNN:
  Vulkan GPU - mobilenet
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU - shufflenet-v2
  Vulkan GPU - mnasnet
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - blazeface
  Vulkan GPU - googlenet
  Vulkan GPU - vgg16
  Vulkan GPU - resnet18
  Vulkan GPU - alexnet
  Vulkan GPU - resnet50
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - squeezenet_ssd
  Vulkan GPU - regnety_400m
IndigoBench:
  OpenCL GPU - Bedroom
  OpenCL GPU - Supercar
Chaos Group V-RAY:
  NVIDIA RTX GPU
  NVIDIA CUDA GPU