nvidia linux

AMD Ryzen 9 5900X 12-Core testing with a ASUS ROG CROSSHAIR VIII HERO (3801 BIOS) and NVIDIA GeForce RTX 3080 10GB on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2110109-TJ-NVIDIALIN48
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CPU Massive 3 Tests
Creator Workloads 2 Tests
HPC - High Performance Computing 2 Tests
Machine Learning 2 Tests
Multi-Core 2 Tests
NVIDIA GPU Compute 11 Tests
Renderers 2 Tests
Vulkan Compute 4 Tests

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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
GTX 1660Ti
October 08 2021
  14 Minutes
GTX 1060
October 08 2021
  15 Minutes
GTX 1660 SUPER
October 08 2021
  14 Minutes
RTX 3060
October 08 2021
  1 Hour, 30 Minutes
NVIDIA RTX 3060
October 08 2021
  1 Hour, 57 Minutes
RTX 2070 SUPER
October 08 2021
  2 Hours, 49 Minutes
RTX 2070
October 09 2021
  2 Hours, 36 Minutes
RTX 2060 SUPER
October 09 2021
  2 Hours, 38 Minutes
RTX 2060
October 09 2021
  2 Hours, 39 Minutes
RTX 3060Ti
October 09 2021
  2 Hours, 25 Minutes
RTX 3080Ti
October 09 2021
  2 Hours, 47 Minutes
RTX 3070
October 09 2021
  2 Hours, 23 Minutes
RTX 3090
October 10 2021
  2 Hours, 19 Minutes
NVIDIA RTX 3090
October 10 2021
  1 Hour, 56 Minutes
3090
October 10 2021
  2 Hours, 18 Minutes
RTX 3070 Ti
October 10 2021
  2 Hours, 27 Minutes
RTX 3080
October 10 2021
  2 Hours, 19 Minutes
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  1 Hour, 59 Minutes

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nvidia linuxProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionGTX 1660TiGTX 1060GTX 1660 SUPERRTX 3060NVIDIA RTX 3060RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060RTX 3060TiRTX 3080TiRTX 3070RTX 3090NVIDIA RTX 30903090RTX 3070 TiRTX 3080AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads)ASUS ROG CROSSHAIR VIII HERO (3801 BIOS)AMD Starship/Matisse16GB1000GB Western Digital WDS100T1X0E-00AFY0 + 2000GBeVGA NVIDIA GeForce GTX 1660 Ti 6GBNVIDIA TU116 HD AudioASUS VP28URealtek RTL8125 2.5GbE + Intel I211Ubuntu 20.045.11.0-37-generic (x86_64)GNOME Shell 3.36.9X Server 1.20.11NVIDIA 470.744.6.0OpenCL 3.0 CUDA 11.4.1361.2.175GCC 9.3.0ext43840x2160NVIDIA GeForce GTX 1060 6GBNVIDIA GP106 HD AudioeVGA NVIDIA GeForce GTX 1660 SUPER 6GBNVIDIA TU116 HD AudioeVGA NVIDIA GeForce RTX 3060 12GBNVIDIA Device 228eNVIDIA GeForce RTX 2070 SUPER 8GBNVIDIA TU104 HD AudioASUS NVIDIA GeForce RTX 2070 8GBNVIDIA TU106 HD AudioNVIDIA GeForce RTX 2060 SUPER 8GBNVIDIA GeForce RTX 2060 6GBNVIDIA GeForce RTX 3060 Ti 8GBNVIDIA Device 228bNVIDIA GeForce RTX 3080 Ti 12GBNVIDIA Device 1aefNVIDIA GeForce RTX 3070 8GBNVIDIA Device 228bNVIDIA GeForce RTX 3090 24GBNVIDIA Device 1aefNVIDIA GeForce RTX 3070 Ti 8GBNVIDIA Device 228bNVIDIA GeForce RTX 3080 10GBNVIDIA Device 1aefOpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseProcessor Details- Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0xa201016Graphics Details- GTX 1660Ti: BAR1 / Visible vRAM Size: 256 MiB- GTX 1060: BAR1 / Visible vRAM Size: 256 MiB- GTX 1660 SUPER: BAR1 / Visible vRAM Size: 256 MiB- RTX 3060: BAR1 / Visible vRAM Size: 16384 MiB- NVIDIA RTX 3060: BAR1 / Visible vRAM Size: 16384 MiB- RTX 2070 SUPER: BAR1 / Visible vRAM Size: 256 MiB- RTX 2070: BAR1 / Visible vRAM Size: 256 MiB- RTX 2060 SUPER: BAR1 / Visible vRAM Size: 256 MiB- RTX 2060: BAR1 / Visible vRAM Size: 256 MiB- RTX 3060Ti: BAR1 / Visible vRAM Size: 8192 MiB- RTX 3080Ti: BAR1 / Visible vRAM Size: 16384 MiB- RTX 3070: BAR1 / Visible vRAM Size: 8192 MiB- RTX 3090: BAR1 / Visible vRAM Size: 32768 MiB- NVIDIA RTX 3090: BAR1 / Visible vRAM Size: 32768 MiB- 3090: BAR1 / Visible vRAM Size: 32768 MiB- RTX 3070 Ti: BAR1 / Visible vRAM Size: 8192 MiB- RTX 3080: BAR1 / Visible vRAM Size: 256 MiBOpenCL Details- GTX 1660Ti: GPU Compute Cores: 1536- GTX 1060: GPU Compute Cores: 1280- GTX 1660 SUPER: GPU Compute Cores: 1408- RTX 3060: GPU Compute Cores: 3584- NVIDIA RTX 3060: GPU Compute Cores: 3584- RTX 2070 SUPER: GPU Compute Cores: 2560- RTX 2070: GPU Compute Cores: 2304- RTX 2060 SUPER: GPU Compute Cores: 2176- RTX 2060: GPU Compute Cores: 1920- RTX 3060Ti: GPU Compute Cores: 4864- RTX 3080Ti: GPU Compute Cores: 10240- RTX 3070: GPU Compute Cores: 5888- RTX 3090: GPU Compute Cores: 10496- NVIDIA RTX 3090: GPU Compute Cores: 10496- 3090: GPU Compute Cores: 10496- RTX 3070 Ti: GPU Compute Cores: 6144- RTX 3080: GPU Compute Cores: 8704Security Details- 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 affectedCompiler Details- RTX 3060, NVIDIA RTX 3060, RTX 2070 SUPER, RTX 2070, RTX 2060 SUPER, RTX 2060, RTX 3060Ti, RTX 3080Ti, RTX 3070, RTX 3090, NVIDIA RTX 3090, 3090, RTX 3070 Ti, RTX 3080: --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

nvidia linuxv-ray: NVIDIA CUDA GPUoctanebench: Total Scorehashcat: TrueCrypt RIPEMD160 + XTShashcat: SHA-512hashcat: 7-Ziphashcat: MD5blender: Classroom - NVIDIA OptiXhashcat: SHA1v-ray: NVIDIA RTX GPUblender: BMW27 - NVIDIA OptiXblender: Fishy Cat - NVIDIA OptiXrealsr-ncnn: 4x - Yesgravitymark: 3840 x 2160 - Vulkanlczero: OpenCLgravitymark: 2560 x 1440 - Vulkanncnn: Vulkan GPU - vgg16gravitymark: 1920 x 1080 - Vulkanrealsr-ncnn: 4x - Nogravitymark: 3840 x 2160 - OpenGLvkfft: gravitymark: 2560 x 1440 - OpenGLgravitymark: 1920 x 1080 - OpenGLwaifu2x-ncnn: 2x - 3 - Yesncnn: Vulkan GPU - alexnetetlegacy: 3840 x 2160ncnn: Vulkan GPU - resnet18namd-cuda: ATPase Simulation - 327,506 Atomsncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - shufflenet-v2redshift: GTX 1660TiGTX 1060GTX 1660 SUPERRTX 3060NVIDIA RTX 3060RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060RTX 3060TiRTX 3080TiRTX 3070RTX 3090NVIDIA RTX 30903090RTX 3070 TiRTX 3080442133.125997253767854600000355133196207666676702033333495.224981.44449137633483533333189133131198000004455966667445.2456133.086823235133792333333330833183559666676235366667482.973.10120726.1056.4568.156222367.2410.4564.9782.071.900.152374.174.776.712.021.922.424.304.383.212.140.951.70851294.02010429133399283333341026724825266667779060000084.0120.07.25149.372.82727893.3110.42.07590.61.934.184.836.732.011.912.414.284.393.242.150.951.71834261.82855541690014389000005802333592863333389.0111276666667105528.1052.8563.88183.621079121.47.90149.610.09374.62933596.7114.44.8482.31630.71.900.140203.944.746.851.781.722.173.864.132.921.940.911.59513244.190524353967122430000049150030641800000146.40969493333379830.1059.9775.69278.417674112.58.78139.111.52466.53002886.4101.55.3532.45591.620.152874.194.907.011.851.792.244.134.303.052.020.931.64528243.812534348033119870000048293329907933333142.69946820000082629.8960.3076.68177.817484112.08.87138.811.67167.52997087.8103.95.3172.42559.71.990.154764.164.907.011.811.762.194.194.262.961.970.911.6505195.639962305833106293333343570026593433333146.87839076666773336.0369.5686.35964.31447393.09.96116.412.90159.52274679.594.95.8442.63557.62.190.168564.495.167.251.861.802.254.214.403.022.000.931.631260384.11908641746714129666675693333541430000052.0511069666667171617.4239.0051.297108.530371153.35.76188.08.38489.833746113.5132.14.2871.90645.31.700.128303.804.276.301.981.882.374.144.173.132.110.931.672052668.016818805133276260000010667676846646666729.612173216666728509.7019.8029.814173.538444226.14.13262.55.729125.843263147.6164.73.3551.76646.51.530.119583.474.155.851.941.832.394.114.013.122.090.881.671418414.23190948846716827333336634334190043333345.7113140600000188015.6933.3047.047116.132980164.05.43201.37.89893.631446117.3134.94.1231.87645.51.640.127263.734.326.151.971.872.394.244.103.132.110.931.672111684.778798832767289093333311130337252086666728.612295466666729289.4218.9928.744178.639001232.74.01269.25.614130.344486153.3169.73.3141.74654.51.520.120013.413.925.821.931.812.374.024.003.082.060.881.652112680.453461818267285706666711043007087330000028.51225709333339.4419.004.03269.343830170.11.74581.51.513.414.105.851.921.822.364.0843.082.060.871.662111680.626427822167286110000011019677025340000028.562245223333329179.4419.0128.729178.538687233.44.04269.95.606130.743849153.3169.43.3101.74667.21.510.119513.424.135.881.921.822.373.9243.092.070.881.661501454.75212150573317175333337099674290156666742.7613536633333203414.3831.4441.302128.935401176.55.07212.27.15596.237970118.7136.43.8201.79648.31.620.124153.594.346.121.921.812.343.934.023.092.060.931.651774570.41446372470024660333339725006158623333333.8519440866667244611.2422.6732.845158.138103210.44.36248.26.113120.240852143.1160.63.4441.75639.31.520.122503.404.105.861.901.792.323.903.963.052.040.881.64OpenBenchmarking.org

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.orgvpaths, More Is BetterChaos Group V-RAY 5Mode: NVIDIA CUDA GPU3090GTX 1060GTX 1660 SUPERGTX 1660TiNVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 30905001000150020002500SE +/- 2.19, N = 3SE +/- 0.88, N = 3SE +/- 0.58, N = 3SE +/- 1.15, N = 3SE +/- 2.33, N = 3SE +/- 0.88, N = 3SE +/- 0.88, N = 3SE +/- 0.67, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 1.86, N = 3SE +/- 1.86, N = 3SE +/- 2.60, N = 321112494564428512112505528513834126014181501177420522111

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 Score3090GTX 1060GTX 1660 SUPERGTX 1660TiNVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 3090150300450600750680.6381.44133.09133.13294.02680.45195.64243.81244.19261.83384.12414.23454.75570.41668.02684.78

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 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTS3090GTX 1060GTX 1660 SUPERGTX 1660TiNVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 3090200K400K600K800K1000KSE +/- 296.27, N = 3SE +/- 33.33, N = 3SE +/- 554.78, N = 3SE +/- 533.33, N = 3SE +/- 600.93, N = 3SE +/- 688.80, N = 3SE +/- 1975.12, N = 3SE +/- 317.98, N = 3SE +/- 2602.78, N = 3SE +/- 2318.05, N = 3SE +/- 3507.29, N = 3SE +/- 4139.78, N = 3SE +/- 2906.51, N = 3SE +/- 2706.17, N = 3SE +/- 7319.46, N = 3SE +/- 5546.87, N = 3822167137633235133253767291333818267305833348033353967416900417467488467505733724700805133832767

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-5123090GTX 1060GTX 1660 SUPERGTX 1660TiNVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 3090600M1200M1800M2400M3000MSE +/- 1715614.56, N = 3SE +/- 66666.67, N = 3SE +/- 864741.45, N = 3SE +/- 115470.05, N = 3SE +/- 1083717.88, N = 3SE +/- 1039764.93, N = 3SE +/- 1560270.63, N = 3SE +/- 1500000.00, N = 3SE +/- 568624.07, N = 3SE +/- 152752.52, N = 3SE +/- 4611700.10, N = 3SE +/- 3238483.87, N = 3SE +/- 829323.69, N = 3SE +/- 4117577.50, N = 3SE +/- 4194043.40, N = 3SE +/- 5366666.67, N = 3286110000048353333379233333385460000099283333328570666671062933333119870000012243000001438900000141296666716827333331717533333246603333327626000002890933333

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-Zip3090GTX 1060GTX 1660 SUPERGTX 1660TiNVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 3090200K400K600K800K1000KSE +/- 920.75, N = 3SE +/- 578.31, N = 3SE +/- 504.42, N = 3SE +/- 712.59, N = 3SE +/- 533.33, N = 3SE +/- 1587.45, N = 3SE +/- 680.69, N = 3SE +/- 669.16, N = 3SE +/- 493.29, N = 3SE +/- 783.87, N = 3SE +/- 696.02, N = 3SE +/- 1897.66, N = 3SE +/- 1785.43, N = 3SE +/- 2685.76, N = 3SE +/- 1767.61, N = 3SE +/- 5304.82, N = 31101967189133330833355133410267110430043570048293349150058023356933366343370996797250010667671113033

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: MD53090GTX 1060GTX 1660 SUPERGTX 1660TiNVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 309016000M32000M48000M64000M80000MSE +/- 43362195.52, N = 3SE +/- 4813522.62, N = 3SE +/- 61580741.94, N = 3SE +/- 33080726.18, N = 3SE +/- 12235785.40, N = 3SE +/- 89401584.62, N = 3SE +/- 58270127.66, N = 3SE +/- 53112532.52, N = 3SE +/- 11557248.81, N = 3SE +/- 34379515.86, N = 3SE +/- 62466737.82, N = 3SE +/- 52398642.90, N = 3SE +/- 53053631.15, N = 3SE +/- 122029850.63, N = 3SE +/- 278660763.49, N = 3SE +/- 151860520.80, N = 370253400000131198000001835596666719620766667248252666677087330000026593433333299079333333064180000035928633333354143000004190043333342901566667615862333336846646666772520866667

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: Classroom - Compute: NVIDIA OptiX3090NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060RTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 3090306090120150SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 1.05, N = 3SE +/- 1.28, N = 3SE +/- 1.24, N = 3SE +/- 0.30, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 328.5628.51146.87142.69146.4089.0173.1052.0545.7142.7633.8529.6128.61

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 6.2.4Benchmark: SHA13090GTX 1060GTX 1660 SUPERGTX 1660TiNVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 30905000M10000M15000M20000M25000MSE +/- 42808501.23, N = 3SE +/- 2008592.65, N = 3SE +/- 10383694.48, N = 3SE +/- 16083670.12, N = 3SE +/- 4454585.65, N = 3SE +/- 40688750.83, N = 3SE +/- 19016338.00, N = 3SE +/- 5602677.93, N = 3SE +/- 36354107.21, N = 3SE +/- 14748144.89, N = 3SE +/- 11142461.33, N = 3SE +/- 17350024.02, N = 3SE +/- 7460414.05, N = 3SE +/- 36421620.56, N = 3SE +/- 54926142.33, N = 3SE +/- 52625416.34, N = 32245223333344559666676235366667670203333377906000002257093333383907666679468200000969493333311276666667110696666671314060000013536633333194408666672173216666722954666667

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 GPU3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060RTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 30906001200180024003000SE +/- 8.88, N = 3SE +/- 0.88, N = 3SE +/- 1.45, N = 3SE +/- 1.67, N = 3SE +/- 2.40, N = 3SE +/- 1.00, N = 3SE +/- 1.76, N = 3SE +/- 4.73, N = 3SE +/- 6.06, N = 3SE +/- 3.00, N = 3291773382679810551207171618802034244628502928

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: BMW27 - Compute: NVIDIA OptiX3090NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060RTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 3090816243240SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 2.61, N = 15SE +/- 2.63, N = 15SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 39.449.4436.0329.8930.1028.1026.1017.4215.6914.3811.249.709.42

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Fishy Cat - Compute: NVIDIA OptiX3090NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060RTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 30901530456075SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 2.69, N = 15SE +/- 2.71, N = 15SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 319.0119.0069.5660.3059.9752.8556.4539.0033.3031.4422.6719.8018.99

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: Yes3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060RTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 309020406080100SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 328.7386.3676.6875.6963.8868.1651.3047.0541.3032.8529.8128.74

GravityMark

GravityMark is a cross-API, cross-platform GPU accelerated benchmark developed by Tellusim. GravityMark aims to exploit the performance of modern GPus and render hundreds of thousands of objects in real-time all using GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.2Resolution: 3840 x 2160 - Renderer: Vulkan3090NVIDIA RTX 3060RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 30904080120160200SE +/- 0.21, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.18, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 3178.584.064.377.878.483.6108.5116.1128.9158.1173.5178.6

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 0.28Backend: OpenCL3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060RTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 30908K16K24K32K40KSE +/- 278.45, N = 3SE +/- 59.29, N = 3SE +/- 87.16, N = 3SE +/- 144.05, N = 3SE +/- 129.25, N = 3SE +/- 125.30, N = 3SE +/- 168.30, N = 3SE +/- 232.47, N = 3SE +/- 231.99, N = 3SE +/- 230.16, N = 3SE +/- 111.06, N = 3SE +/- 412.81, N = 33868714473174841767421079222363037132980354013810338444390011. (CXX) g++ options: -flto -pthread

GravityMark

GravityMark is a cross-API, cross-platform GPU accelerated benchmark developed by Tellusim. GravityMark aims to exploit the performance of modern GPus and render hundreds of thousands of objects in real-time all using GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.2Resolution: 2560 x 1440 - Renderer: Vulkan3090NVIDIA RTX 3060RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 309050100150200250SE +/- 0.21, N = 3SE +/- 0.20, N = 3SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 3SE +/- 0.28, N = 3SE +/- 0.32, N = 3SE +/- 0.34, N = 3SE +/- 0.15, N = 3SE +/- 0.26, N = 3233.4120.093.0112.0112.5121.4153.3164.0176.5210.4226.1232.7

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 20210720Target: Vulkan GPU - Model: vgg163090NVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060RTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 30903691215SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.047.254.039.968.878.787.907.245.765.435.074.364.134.01MIN: 3.98 / MAX: 13.19MIN: 7.15 / MAX: 16.65MIN: 3.98 / MAX: 10.03MIN: 9.52 / MAX: 24.93MIN: 8.62 / MAX: 23.64MIN: 8.15 / MAX: 25.5MIN: 7.39 / MAX: 17.42MIN: 7.11 / MAX: 16.52MIN: 5.68 / MAX: 13.67MIN: 5.33 / MAX: 19.97MIN: 5.02 / MAX: 9.32MIN: 4.31 / MAX: 6.26MIN: 4.1 / MAX: 7.68MIN: 3.97 / MAX: 6.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

GravityMark

GravityMark is a cross-API, cross-platform GPU accelerated benchmark developed by Tellusim. GravityMark aims to exploit the performance of modern GPus and render hundreds of thousands of objects in real-time all using GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.2Resolution: 1920 x 1080 - Renderer: Vulkan3090NVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 309060120180240300SE +/- 0.58, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.27, N = 3SE +/- 0.29, N = 3SE +/- 0.32, N = 3SE +/- 0.20, N = 3SE +/- 0.20, N = 3SE +/- 0.50, N = 3269.9149.3269.3116.4138.8139.1149.6188.0201.3212.2248.2262.5269.2

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: No3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060RTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 30903691215SE +/- 0.010, N = 3SE +/- 0.003, N = 3SE +/- 0.010, N = 3SE +/- 0.018, N = 3SE +/- 0.028, N = 3SE +/- 0.006, N = 3SE +/- 0.016, N = 3SE +/- 0.010, N = 3SE +/- 0.008, N = 3SE +/- 0.008, N = 3SE +/- 0.028, N = 3SE +/- 0.003, N = 35.60612.90111.67111.52410.09310.4568.3847.8987.1556.1135.7295.614

GravityMark

GravityMark is a cross-API, cross-platform GPU accelerated benchmark developed by Tellusim. GravityMark aims to exploit the performance of modern GPus and render hundreds of thousands of objects in real-time all using GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.2Resolution: 3840 x 2160 - Renderer: OpenGL3090NVIDIA RTX 3060RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 3090306090120150SE +/- 0.15, N = 3SE +/- 0.17, N = 3SE +/- 0.15, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.23, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.19, N = 3SE +/- 0.12, N = 3130.772.859.567.566.574.689.893.696.2120.2125.8130.3

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 1.1.13090NVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 309010K20K30K40K50KSE +/- 524.00, N = 3SE +/- 187.36, N = 3SE +/- 516.79, N = 4SE +/- 157.50, N = 3SE +/- 231.75, N = 3SE +/- 85.43, N = 3SE +/- 219.94, N = 3SE +/- 189.63, N = 3SE +/- 83.35, N = 3SE +/- 436.94, N = 4SE +/- 495.84, N = 3SE +/- 392.62, N = 9SE +/- 315.62, N = 3438492727843830227462997030028293353374631446379704085243263444861. (CXX) g++ options: -O3 -pthread

GravityMark

GravityMark is a cross-API, cross-platform GPU accelerated benchmark developed by Tellusim. GravityMark aims to exploit the performance of modern GPus and render hundreds of thousands of objects in real-time all using GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.2Resolution: 2560 x 1440 - Renderer: OpenGL3090NVIDIA RTX 3060RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 3090306090120150SE +/- 0.69, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.20, N = 3SE +/- 0.09, N = 3SE +/- 0.22, N = 3SE +/- 0.40, N = 3SE +/- 0.15, N = 3SE +/- 0.20, N = 3SE +/- 0.42, N = 3SE +/- 0.64, N = 3SE +/- 0.35, N = 3153.393.379.587.886.496.7113.5117.3118.7143.1147.6153.3

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.2Resolution: 1920 x 1080 - Renderer: OpenGL3090NVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 30904080120160200SE +/- 0.72, N = 3SE +/- 0.03, N = 3SE +/- 0.44, N = 3SE +/- 0.43, N = 3SE +/- 0.23, N = 3SE +/- 0.23, N = 3SE +/- 0.50, N = 3SE +/- 0.15, N = 3SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.50, N = 3SE +/- 0.12, N = 3SE +/- 0.22, N = 3169.4110.4170.194.9103.9101.5114.4132.1134.9136.4160.6164.7169.7

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: Yes3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060RTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 30901.31492.62983.94475.25966.5745SE +/- 0.004, N = 3SE +/- 0.024, N = 3SE +/- 0.007, N = 3SE +/- 0.016, N = 3SE +/- 0.001, N = 3SE +/- 0.008, N = 3SE +/- 0.006, N = 3SE +/- 0.007, N = 3SE +/- 0.005, N = 3SE +/- 0.006, N = 3SE +/- 0.001, N = 3SE +/- 0.006, N = 33.3105.8445.3175.3534.8484.9784.2874.1233.8203.4443.3553.314

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 20210720Target: Vulkan GPU - Model: alexnet3090NVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060RTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 30900.59181.18361.77542.36722.959SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.742.071.742.632.422.452.312.071.901.871.791.751.761.74MIN: 1.72 / MAX: 1.92MIN: 2.05 / MAX: 2.22MIN: 1.72 / MAX: 1.94MIN: 2.51 / MAX: 4.77MIN: 2.34 / MAX: 2.93MIN: 2.39 / MAX: 4.82MIN: 2.06 / MAX: 3.47MIN: 2.03 / MAX: 5.86MIN: 1.85 / MAX: 8.61MIN: 1.83 / MAX: 4.81MIN: 1.78 / MAX: 1.94MIN: 1.72 / MAX: 4.78MIN: 1.74 / MAX: 1.92MIN: 1.72 / MAX: 1.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

ET: Legacy

ETLegacy is an open-source engine evolution of Wolfenstein: Enemy Territory, a World War II era first person shooter that was released for free by Splash Damage using the id Tech 3 engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterET: Legacy 2.78Resolution: 3840 x 21603090GTX 1060GTX 1660 SUPERGTX 1660TiNVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 3090140280420560700SE +/- 1.66, N = 3SE +/- 1.20, N = 3SE +/- 3.91, N = 3SE +/- 4.09, N = 3SE +/- 2.08, N = 3SE +/- 72.37, N = 9SE +/- 0.44, N = 3SE +/- 26.17, N = 12SE +/- 2.35, N = 3SE +/- 1.83, N = 3SE +/- 3.68, N = 3SE +/- 6.77, N = 3SE +/- 4.84, N = 3SE +/- 1.47, N = 3SE +/- 1.67, N = 3SE +/- 6.42, N = 5667.2445.2482.9495.2590.6581.5557.6559.7591.6630.7645.3645.5648.3639.3646.5654.5

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 20210720Target: Vulkan GPU - Model: resnet183090NVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060RTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 30900.49280.98561.47841.97122.464SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 2SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.511.931.512.191.992.001.901.901.701.641.621.521.531.52MIN: 1.49 / MAX: 1.7MIN: 1.88 / MAX: 12.22MIN: 1.49 / MAX: 1.76MIN: 2.17 / MAX: 2.33MIN: 1.97 / MAX: 2.15MIN: 1.98 / MAX: 2.13MIN: 1.88 / MAX: 2.05MIN: 1.88 / MAX: 2.08MIN: 1.68 / MAX: 4.79MIN: 1.62 / MAX: 1.88MIN: 1.61 / MAX: 3.82MIN: 1.49 / MAX: 2.49MIN: 1.51 / MAX: 1.76MIN: 1.49 / MAX: 4.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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 Atoms3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060RTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 30900.03790.07580.11370.15160.1895SE +/- 0.00003, N = 3SE +/- 0.00014, N = 3SE +/- 0.00063, N = 3SE +/- 0.00047, N = 3SE +/- 0.00012, N = 3SE +/- 0.00015, N = 3SE +/- 0.00006, N = 3SE +/- 0.00094, N = 3SE +/- 0.00009, N = 3SE +/- 0.00140, N = 3SE +/- 0.00009, N = 3SE +/- 0.00103, N = 30.119510.168560.154760.152870.140200.152370.128300.127260.124150.122500.119580.12001

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 20210720Target: Vulkan GPU - Model: resnet503090NVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060RTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 30901.01032.02063.03094.04125.0515SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 2SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 33.424.183.414.494.164.193.944.173.803.733.593.403.473.41MIN: 3.4 / MAX: 8.52MIN: 4.15 / MAX: 4.48MIN: 3.39 / MAX: 4.83MIN: 4.47 / MAX: 4.83MIN: 4.14 / MAX: 4.83MIN: 4.16 / MAX: 4.31MIN: 3.91 / MAX: 4.89MIN: 4.15 / MAX: 4.26MIN: 3.76 / MAX: 13.08MIN: 3.67 / MAX: 4.82MIN: 3.56 / MAX: 4.82MIN: 3.37 / MAX: 3.58MIN: 3.45 / MAX: 4.72MIN: 3.39 / MAX: 3.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: squeezenet_ssd3090NVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060RTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 30901.1612.3223.4834.6445.805SE +/- 0.17, N = 2SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.13, N = 2SE +/- 0.09, N = 3SE +/- 0.01, N = 34.134.834.105.164.904.904.744.774.274.324.344.104.153.92MIN: 3.89 / MAX: 6.1MIN: 4.63 / MAX: 14.6MIN: 3.84 / MAX: 8.44MIN: 4.86 / MAX: 21.65MIN: 4.66 / MAX: 8.68MIN: 4.65 / MAX: 7.98MIN: 4.52 / MAX: 9.57MIN: 4.67 / MAX: 5.06MIN: 4.16 / MAX: 4.55MIN: 4.04 / MAX: 9.9MIN: 4.04 / MAX: 7.74MIN: 3.89 / MAX: 8.62MIN: 3.9 / MAX: 7.31MIN: 3.85 / MAX: 4.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: yolov4-tiny3090NVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060RTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 3090246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.886.735.857.257.017.016.856.716.306.156.125.865.855.82MIN: 5.58 / MAX: 12.45MIN: 6.6 / MAX: 6.89MIN: 5.6 / MAX: 6.5MIN: 7.17 / MAX: 7.38MIN: 6.92 / MAX: 16.05MIN: 6.91 / MAX: 10.62MIN: 6.66 / MAX: 7.27MIN: 6.58 / MAX: 7.1MIN: 6.11 / MAX: 6.59MIN: 5.94 / MAX: 6.41MIN: 5.9 / MAX: 6.51MIN: 5.61 / MAX: 6.37MIN: 5.59 / MAX: 10.87MIN: 5.57 / MAX: 6.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: mnasnet3090NVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060RTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 30900.45450.9091.36351.8182.2725SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.922.011.921.861.811.851.782.021.981.971.921.901.941.93MIN: 1.89 / MAX: 4.81MIN: 1.98 / MAX: 5.81MIN: 1.9 / MAX: 2.79MIN: 1.83 / MAX: 4.81MIN: 1.8 / MAX: 2.09MIN: 1.83 / MAX: 2.02MIN: 1.76 / MAX: 2.56MIN: 1.97 / MAX: 12.09MIN: 1.95 / MAX: 8.5MIN: 1.94 / MAX: 4.81MIN: 1.89 / MAX: 4.79MIN: 1.87 / MAX: 8.44MIN: 1.92 / MAX: 3.04MIN: 1.91 / MAX: 8.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v2-v2 - Model: mobilenet-v23090NVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060RTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 30900.4320.8641.2961.7282.16SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.821.911.821.801.761.791.721.921.881.871.811.791.831.81MIN: 1.79 / MAX: 4.97MIN: 1.89 / MAX: 2.84MIN: 1.79 / MAX: 8.7MIN: 1.78 / MAX: 2.99MIN: 1.73 / MAX: 2.62MIN: 1.76 / MAX: 2.81MIN: 1.7 / MAX: 3.09MIN: 1.88 / MAX: 8.45MIN: 1.84 / MAX: 5.51MIN: 1.84 / MAX: 4.81MIN: 1.79 / MAX: 4.69MIN: 1.77 / MAX: 3.16MIN: 1.81 / MAX: 4.77MIN: 1.79 / MAX: 3.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: regnety_400m3090NVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060RTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 30900.54451.0891.63352.1782.7225SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.372.412.362.252.192.242.172.422.372.392.342.322.392.37MIN: 2.35 / MAX: 3.22MIN: 2.39 / MAX: 3.22MIN: 2.35 / MAX: 2.94MIN: 2.2 / MAX: 2.77MIN: 2.17 / MAX: 2.95MIN: 2.23 / MAX: 2.46MIN: 2.15 / MAX: 2.49MIN: 2.37 / MAX: 10.64MIN: 2.35 / MAX: 2.95MIN: 2.36 / MAX: 2.74MIN: 2.31 / MAX: 3.52MIN: 2.3 / MAX: 3.35MIN: 2.36 / MAX: 2.88MIN: 2.35 / MAX: 2.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: googlenet3090NVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060RTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 30900.96751.9352.90253.874.8375SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.00, N = 2SE +/- 0.04, N = 3SE +/- 0.00, N = 2SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 2SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 33.924.284.084.214.194.133.864.304.144.243.933.904.114.02MIN: 3.57 / MAX: 18.33MIN: 3.91 / MAX: 22.46MIN: 3.57 / MAX: 15.4MIN: 3.71 / MAX: 19.56MIN: 3.57 / MAX: 12.23MIN: 3.63 / MAX: 11.49MIN: 3.44 / MAX: 11.03MIN: 3.91 / MAX: 15MIN: 3.75 / MAX: 13.91MIN: 3.72 / MAX: 13.94MIN: 3.59 / MAX: 13.6MIN: 3.51 / MAX: 17.33MIN: 3.62 / MAX: 17.74MIN: 3.57 / MAX: 16.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: mobilenet3090NVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060RTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 30900.991.982.973.964.95SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 34.004.394.004.404.264.304.134.384.174.104.023.964.014.00MIN: 3.95 / MAX: 4.44MIN: 4.33 / MAX: 4.54MIN: 3.94 / MAX: 4.48MIN: 4.35 / MAX: 4.57MIN: 4.2 / MAX: 4.47MIN: 4.21 / MAX: 12.49MIN: 4.09 / MAX: 6.52MIN: 4.31 / MAX: 4.57MIN: 4.12 / MAX: 4.36MIN: 4.05 / MAX: 4.23MIN: 3.97 / MAX: 4.21MIN: 3.89 / MAX: 4.55MIN: 3.96 / MAX: 4.13MIN: 3.92 / MAX: 7.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: efficientnet-b03090NVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060RTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 30900.7291.4582.1872.9163.645SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.093.243.083.022.963.052.923.213.133.133.093.053.123.08MIN: 3.06 / MAX: 6.04MIN: 3.19 / MAX: 4.87MIN: 3.04 / MAX: 4.85MIN: 2.99 / MAX: 5.02MIN: 2.92 / MAX: 9.52MIN: 3.02 / MAX: 4.81MIN: 2.88 / MAX: 5.47MIN: 3.18 / MAX: 4.81MIN: 3.1 / MAX: 4.87MIN: 3.1 / MAX: 4.82MIN: 3.05 / MAX: 4.84MIN: 3.02 / MAX: 3.36MIN: 3.09 / MAX: 4.84MIN: 3.06 / MAX: 4.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v3-v3 - Model: mobilenet-v33090NVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060RTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 30900.48380.96761.45141.93522.419SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.072.152.062.001.972.021.942.142.112.112.062.042.092.06MIN: 2.05 / MAX: 2.62MIN: 2.12 / MAX: 4.81MIN: 2.04 / MAX: 2.62MIN: 1.98 / MAX: 2.91MIN: 1.95 / MAX: 3.04MIN: 2 / MAX: 4.82MIN: 1.92 / MAX: 3MIN: 2.11 / MAX: 4.76MIN: 2.07 / MAX: 4.83MIN: 2.08 / MAX: 3.71MIN: 2.04 / MAX: 4.66MIN: 2.02 / MAX: 2.27MIN: 2.06 / MAX: 4.83MIN: 2.05 / MAX: 2.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: blazeface3090NVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060RTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 30900.21380.42760.64140.85521.069SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 30.880.950.870.930.910.930.910.950.930.930.930.880.880.88MIN: 0.85 / MAX: 1.71MIN: 0.93 / MAX: 1.92MIN: 0.85 / MAX: 1.89MIN: 0.91 / MAX: 2MIN: 0.89 / MAX: 1.94MIN: 0.9 / MAX: 2.01MIN: 0.88 / MAX: 1.8MIN: 0.93 / MAX: 1.89MIN: 0.91 / MAX: 1.68MIN: 0.91 / MAX: 1.8MIN: 0.91 / MAX: 1.99MIN: 0.86 / MAX: 1.91MIN: 0.86 / MAX: 1.84MIN: 0.85 / MAX: 1.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: shufflenet-v23090NVIDIA RTX 3060NVIDIA RTX 3090RTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060RTX 3060TiRTX 3070RTX 3070 TiRTX 3080RTX 3080TiRTX 30900.38480.76961.15441.53921.924SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.661.711.661.631.601.641.591.701.671.671.651.641.671.65MIN: 1.63 / MAX: 2.99MIN: 1.69 / MAX: 2.81MIN: 1.63 / MAX: 2.59MIN: 1.61 / MAX: 2.77MIN: 1.59 / MAX: 2.59MIN: 1.62 / MAX: 2.66MIN: 1.57 / MAX: 2.93MIN: 1.68 / MAX: 2.76MIN: 1.64 / MAX: 2.7MIN: 1.64 / MAX: 3.01MIN: 1.62 / MAX: 6.14MIN: 1.61 / MAX: 2.43MIN: 1.65 / MAX: 2.01MIN: 1.64 / MAX: 2.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -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.

Scale: 2x - Denoise: 3 - TAA: No

RTX 3060: Test failed to run.

RTX 2070 SUPER: Test failed to run.

RTX 2070: Test failed to run.

RTX 2060 SUPER: Test failed to run.

RTX 2060: Test failed to run.

RTX 3060Ti: Test failed to run.

RTX 3080Ti: Test failed to run.

RTX 3070: Test failed to run.

RTX 3090: Test failed to run.

3090: Test failed to run.

RTX 3070 Ti: Test failed to run.

RTX 3080: Test failed to run.

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.

GTX 1660Ti: The test quit with a non-zero exit status.

GTX 1060: The test quit with a non-zero exit status.

GTX 1660 SUPER: The test quit with a non-zero exit status.

NVIDIA RTX 3060: The test quit with a non-zero exit status.

RTX 2070 SUPER: The test quit with a non-zero exit status.

RTX 2070: The test quit with a non-zero exit status.

RTX 2060 SUPER: The test quit with a non-zero exit status.

RTX 2060: The test quit with a non-zero exit status.

RTX 3060Ti: The test quit with a non-zero exit status.

RTX 3080Ti: The test quit with a non-zero exit status.

RTX 3070: The test quit with a non-zero exit status.

RTX 3090: The test quit with a non-zero exit status.

NVIDIA RTX 3090: The test quit with a non-zero exit status.

3090: The test quit with a non-zero exit status.

RTX 3070 Ti: The test quit with a non-zero exit status.

RTX 3080: The test quit with a non-zero exit status.