NVIDIA Compute Tests

Benchmarks for a future article.

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BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
CPU Massive 5 Tests
Creator Workloads 2 Tests
HPC - High Performance Computing 5 Tests
Machine Learning 3 Tests
Multi-Core 4 Tests
NVIDIA GPU Compute 20 Tests
OpenCL 5 Tests
Renderers 2 Tests
Server CPU Tests 3 Tests
Vulkan Compute 4 Tests
Common Workstation Benchmarks 2 Tests

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Result
Identifier
Perf-Per
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Triggered
  Test
  Duration
GTX 1060
November 24 2020
  5 Hours, 15 Minutes
GTX 1660 SUPER
November 25 2020
  6 Hours, 1 Minute
GTX 1660 Ti
November 23 2020
  5 Hours, 39 Minutes
RTX 2060
November 23 2020
  4 Hours, 29 Minutes
RTX 2060 SUPER
November 24 2020
  3 Hours, 44 Minutes
RTX 2070
November 22 2020
  3 Hours, 35 Minutes
RTX 2070 SUPER
November 22 2020
  3 Hours, 18 Minutes
RTX 2080
November 21 2020
  4 Hours, 5 Minutes
RTX 2080 SUPER
November 22 2020
  3 Hours, 22 Minutes
RTX 2080 Ti
November 23 2020
  3 Hours, 13 Minutes
TITAN RTX
November 24 2020
  3 Hours, 34 Minutes
RTX 3060 Ti
November 25 2020
  2 Hours, 49 Minutes
RTX 3080
November 21 2020
  3 Hours, 17 Minutes
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  4 Hours, 2 Minutes
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NVIDIA Compute TestsOpenBenchmarking.orgPhoronix Test Suite 10.2.2AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS)AMD Starship/Matisse16GB2000GB Corsair Force MP600 + 2000GBNVIDIA GeForce GTX 1060 6GB (1506/4006MHz)eVGA NVIDIA GeForce GTX 1660 SUPER 6GB (1530/7000MHz)eVGA NVIDIA GeForce GTX 1660 Ti 6GB (1500/6000MHz)NVIDIA GeForce RTX 2060 6GB (1365/7000MHz)NVIDIA GeForce RTX 2060 SUPER 8GB (1470/7000MHz)ASUS NVIDIA GeForce RTX 2070 8GB (1410/7000MHz)NVIDIA GeForce RTX 2070 SUPER 8GB (1605/7000MHz)Zotac NVIDIA GeForce RTX 2080 8GB (1515/7000MHz)NVIDIA GeForce RTX 2080 SUPER 8GB (1650/7750MHz)NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz)NVIDIA TITAN RTX 24GB (555/810MHz)NVIDIA GeForce RTX 3060 Ti 8GB (1665/7000MHz)NVIDIA GeForce RTX 3080 10GB (1710/9501MHz)NVIDIA GP106 HD AudioNVIDIA TU116 HD AudioNVIDIA TU106 HD AudioNVIDIA TU104 HD AudioNVIDIA TU102 HD AudioNVIDIA Device 228bNVIDIA Device 1aefASUS MG28URealtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 20.045.4.0-54-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8NVIDIA 455.45.014.6.0OpenCL 1.2 CUDA 11.1.1141.2.142GCC 9.3.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudiosMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionNVIDIA Compute Tests PerformanceSystem Logs- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0xa201009- GTX 1060: GPU Compute Cores: 1280- GTX 1660 SUPER: GPU Compute Cores: 1408- GTX 1660 Ti: GPU Compute Cores: 1536- RTX 2060: GPU Compute Cores: 1920- RTX 2060 SUPER: GPU Compute Cores: 2176- RTX 2070: GPU Compute Cores: 2304- RTX 2070 SUPER: GPU Compute Cores: 2560- RTX 2080: GPU Compute Cores: 2944- RTX 2080 SUPER: GPU Compute Cores: 3072- RTX 2080 Ti: GPU Compute Cores: 4352- TITAN RTX: GPU Compute Cores: 4608- RTX 3060 Ti: GPU Compute Cores: 4864- RTX 3080: GPU Compute Cores: 8704- Python 2.7.18 + Python 3.8.5- 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

GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080Logarithmic Result OverviewPhoronix Test Suite 10.2.2OctaneBenchRedShift DemoclpeakGeekbenchLuxCoreRender OpenCLLeelaChessZeroHashcatIndigoBenchVkFFTPlaidMLRealSR-NCNNcl-memMandelGPUFinanceBenchArrayFireFAHBenchRodiniaWaifu2x-NCNN VulkanBlenderNCNNViennaCL

GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080Per Watt Result OverviewPhoronix Test Suite 10.2.2100%183%266%348%431%Meta Performance Per WattsGeekbenchclpeakPlaidMLMandelGPULeelaChessZeroHashcatOctaneBenchViennaCLLuxCoreRender OpenCLVkFFTcl-memIndigoBenchFAHBenchP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.M

NVIDIA Compute Testsclpeak: Single-Precision Floatoctanebench: Total Scoregeekbench: GPU NVIDIA CUDAredshift: blender: Barbershop - NVIDIA OptiXluxcorerender-cl: DLSCgeekbench: GPU OpenCLluxcorerender-cl: LuxCore Benchmarkhashcat: SHA-512hashcat: TrueCrypt RIPEMD160 + XTSlczero: OpenCLhashcat: 7-Zipindigobench: OpenCL GPU - Bedroomhashcat: MD5plaidml: No - Inference - IMDB LSTM - OpenCLclpeak: Global Memory Bandwidthindigobench: OpenCL GPU - Supercargeekbench: GPU Vulkancl-mem: Writehashcat: SHA1cl-mem: Readrealsr-ncnn: 4x - Yesncnn: Vulkan GPU - vgg16vkfft: plaidml: No - Inference - Mobilenet - OpenCLplaidml: Yes - Inference - Mobilenet - OpenCLmandelgpu: GPUclpeak: Double-Precision Doublefinancebench: Black-Scholes OpenCLarrayfire: Conjugate Gradient OpenCLplaidml: No - Inference - DenseNet 201 - OpenCLrealsr-ncnn: 4x - Nofahbench: rodinia: OpenCL Particle Filterwaifu2x-ncnn: 2x - 3 - Yescl-mem: Copyblender: Pabellon Barcelona - NVIDIA OptiXblender: Fishy Cat - NVIDIA OptiXblender: Classroom - NVIDIA OptiXclpeak: Integer Compute INTncnn: Vulkan GPU - squeezenetncnn: Vulkan GPU - yolov4-tinyviennacl: OpenCL LU Factorizationncnn: Vulkan GPU-v3-v3 - mobilenet-v3luxcorerender-cl: Rainbow Colors and Prismluxcorerender-cl: Foodncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - resnet50blender: BMW27 - NVIDIA OptiXncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - resnet18GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30804095.4380.907513367110641.73367981.4546527142914226459251982423.54712897400000226.15147.5110.28237844147.44402442857152.8144.62818.5412788778.99982.70128084240.3150.1513.4685.02378.9720.128101.290212.1059.251137.8973.87344.25548.351226.287.709.8761.72942.475.340.630.805.312.117.62170.151.785.455.762.293.763.264543.04131.856678663877642593.952.60646802.2078451428623790073243338474.66217997700000296.82273.9215.24160351230.06178314286293.5120.90713.97184501075.071371.10198638055.8170.6315.3612.67099.4917.214136.081311.6177.060239.0476.55165.55270.194308.235.358.5868.70531.825.541.050.643.931.535.2578.261.333.044.671.662.882.324448.17124.737161670038332732.322.37648711.9679474285723698870513357004.36018354814286299.07222.0114.30459063207.46219960000235.4123.84815.0917097985.971351.92197542242.7173.6715.5250673.22893.6117.733129.497311.7467.243197.2489.37168.18281.984443.726.059.3068.60872.104.76416670.990.724.331.846.0383.091.563.555.301.813.632.385480.01192.598086835354791783.163.31807122.761035028571306825102494333425.53425730414286389.45275.1218.25272689251.28158285714297.386.60210.32208831282.521696.45247283060.7229.2912.5872.671124.2712.936180.96959.0045.792239.0210.2268.22149.315248.434.757.8472.83381.817.831.170.673.571.564.4337.351.372.564.431.632.921.986758.49225.408822905724021877.553.96870763.261104842857324240112844599736.86527434614286416.15348.0621.66675750311.88747071429372.280.5879.85249751509.021952.07262260550.6245.5111.4922.198137.8112.377189.07838.6565.553270.4209.0563.22154.256753.795.418.5472.33431.8910.451.170.724.161.724.6533.871.632.804.951.723.351.917203.49242.725356996643731803.974.19938053.511212785714359933127235041007.39429996671429447.06368.8423.43085125328.49558914286396.774.8068.96266001580.072008.99280144899.1267.7610.2632.094148.0711.537205.49397.8045.211284.5198.2458.17147.167134.164.587.2775.09401.6410.981.270.583.431.543.9331.961.262.144.231.562.791.748537.01258.4720711104503521002.414.291058993.571399242857423593143325779477.67735026971429498.24367.0424.49096082313.910984400000394.263.7548.20276821707.652297.00316276201.0306.518.3182.076148.5510.206227.76616.9804.769288.2135.3448.8490.518494.994.187.1975.74331.719.861.780.633.231.383.8426.411.362.004.091.662.761.669117.91259.162993121856342974.804.201147733.481535414286458971157586399157.71138581728571544.72368.9124.82598487334.212195000000394.160.0957.69285641714.002340.01341286781.7343.497.7152.094150.949.611242.55436.3554.582288.5135.0245.9887.269509.304.297.0276.13351.758.951.790.613.291.463.7229.531.372.214.161.502.661.5510190.43265.149965128277325917.274.341242723.611705300000524033179157041807.88442565700000587.72405.7725.478108359344.113467714286434.454.7837.44307201831.762480.88363715438.9373.046.9121.917159.349.031257.47675.9044.368298.9130.2843.5782.6010455.184.207.0777.10771.769.031.880.633.121.373.5226.391.321.964.061.522.611.5213338.39349.412708167858247902.945.651525834.6022231285716502292326988256010.91355740728571747.50502.7333.190132489445.417840385714540.744.7255.68373842405.893227.21446864473.4516.536.1581.678211.017.743300.89354.4913.835320.8104.8033.0973.9113253.583.876.5378.61201.6412.082.110.683.101.513.3019.831.341.724.021.492.731.3013604.68350.6624991558672561002.975.461511484.4221188166676255502108483742010.58853086314286718.51484.4031.757128003456.016935833333514.545.5536.28369332394.823284.45443646920.9498.146.3721.756208.228.009270.68054.8054.124291.8114.0035.1282.3113266.225.057.4776.27402.1112.131.990.813.731.753.8821.261.621.964.661.893.331.7316012.88378.713033136797240581.547.131324215.7914069285714340672284258691811.39432992000000686.66389.0233.520112321383.611091171429393.552.4686.02320651875.832439.19278997773.1302.828.3742.094177.048.633234.55986.9884.236298.286.2037.2455.958290.913.966.5675.82561.7616.842.800.633.441.743.7218.061.361.654.271.773.031.7028088.78537.242047208331172458.519.291972677.2623067000006923882838993929016.59554030314286975.56633.3443.589158724615.318345528571634.135.7204.71496312995.563725.40401282795.2514.404.9211.627243.506.576306.76714.8553.519339.959.1422.7341.2914574.474.076.5077.95361.9820.823.540.643.881.733.5114.961.541.824.451.803.131.31OpenBenchmarking.org

clpeak

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

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30806K12K18K24K30KSE +/- 65.66, N = 15SE +/- 29.82, N = 12SE +/- 45.28, N = 15SE +/- 104.44, N = 15SE +/- 72.24, N = 15SE +/- 93.84, N = 15SE +/- 86.35, N = 15SE +/- 74.65, N = 12SE +/- 94.85, N = 15SE +/- 160.87, N = 15SE +/- 131.35, N = 15SE +/- 24.65, N = 13SE +/- 211.97, N = 134095.434543.044448.175480.016758.497203.498537.019117.9110190.4313338.3913604.6816012.8828088.781. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterclpeakOpenCL Test: Single-Precision FloatGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308070140210280350101.60117.45142.17131.53124.64157.05144.93152.55179.85158.64132.66327.99309.31
OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30805K10K15K20K25KMin: 3511.37 / Avg: 4095.43 / Max: 4244.67Min: 4369.28 / Avg: 4543.04 / Max: 4739.88Min: 4224.56 / Avg: 4448.17 / Max: 4813.23Min: 4993.13 / Avg: 5480.01 / Max: 6326.4Min: 6356.11 / Avg: 6758.49 / Max: 7255.12Min: 6734.47 / Avg: 7203.49 / Max: 7721.55Min: 8224.26 / Avg: 8537.01 / Max: 9165.9Min: 8807.67 / Avg: 9117.91 / Max: 9535.28Min: 9436.42 / Avg: 10190.43 / Max: 10758.09Min: 12442.87 / Avg: 13338.39 / Max: 14486.32Min: 12771.63 / Avg: 13604.68 / Max: 14436.87Min: 15838.85 / Avg: 16012.88 / Max: 16187.57Min: 26662.15 / Avg: 28088.78 / Max: 29254.571. (CXX) g++ options: -O3 -rdynamic -lOpenCL

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 ScoreGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308012024036048060080.91131.86124.74192.60225.41242.73258.47259.16265.15349.41350.66378.71537.24
OpenBenchmarking.orgScore Per Watt, More Is BetterOctaneBench 2020.1Total ScoreGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30800.5131.0261.5392.0522.5651.061.211.281.631.571.721.681.591.731.551.502.281.87

Geekbench

This is a benchmark of Geekbench 5 Pro. The test profile automates the execution of Geekbench 5 under the Phoronix Test Suite, assuming you have a valid license key for Geekbench 5 Pro. This test will not work without a valid license key for Geekbench Pro. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterGeekbench 5Test: GPU NVIDIA CUDAGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308040K80K120K160K200KSE +/- 96.77, N = 3SE +/- 387.46, N = 3SE +/- 128.28, N = 3SE +/- 411.67, N = 3SE +/- 657.64, N = 3SE +/- 667.51, N = 3SE +/- 539.60, N = 3SE +/- 663.75, N = 3SE +/- 1753.98, N = 3SE +/- 1291.90, N = 3SE +/- 1675.18, N = 15SE +/- 835.34, N = 3SE +/- 2347.00, N = 14336716638767003835359057299664110450121856128277167858155867136797208331
OpenBenchmarking.orgScore Per Watt, More Is BetterGeekbench 5Test: GPU NVIDIA CUDAGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30805001000150020002500592.621207.711499.741314.211421.931523.731590.391751.841815.721927.381602.542139.981916.20
OpenBenchmarking.orgScore, More Is BetterGeekbench 5Test: GPU NVIDIA CUDAGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308040K80K120K160K200KMin: 33478 / Avg: 33671 / Max: 33780Min: 65709 / Avg: 66386.67 / Max: 67051Min: 66851 / Avg: 67003 / Max: 67258Min: 83095 / Avg: 83535.33 / Max: 84358Min: 89758 / Avg: 90572.33 / Max: 91874Min: 98330 / Avg: 99664 / Max: 100376Min: 109605 / Avg: 110450.33 / Max: 111454Min: 120842 / Avg: 121856 / Max: 123105Min: 124988 / Avg: 128277 / Max: 130978Min: 165474 / Avg: 167857.67 / Max: 169913Min: 142322 / Avg: 155866.53 / Max: 164000Min: 135732 / Avg: 136796.67 / Max: 138444Min: 181801 / Avg: 208331.43 / Max: 216374

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 3.0GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30802004006008001000SE +/- 1.20, N = 3SE +/- 0.33, N = 3SE +/- 1.86, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 31064764833479402373352342325247256240172
OpenBenchmarking.orgSeconds, Fewer Is BetterRedShift Demo 3.0GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30802004006008001000Min: 1062 / Avg: 1063.67 / Max: 1066Min: 764 / Avg: 764.33 / Max: 765Min: 831 / Avg: 833.33 / Max: 837Min: 478 / Avg: 478.67 / Max: 480Min: 402 / Avg: 402.33 / Max: 403Min: 373 / Avg: 373.33 / Max: 374Min: 239 / Avg: 240 / Max: 241

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: NVIDIA OptiXGTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30806001200180024003000SE +/- 0.53, N = 3SE +/- 8.92, N = 3SE +/- 4.43, N = 3SE +/- 3.65, N = 3SE +/- 1.58, N = 3SE +/- 0.49, N = 3SE +/- 0.64, N = 3SE +/- 0.11, N = 3SE +/- 1.60, N = 3SE +/- 1.43, N = 3SE +/- 1.52, N = 3SE +/- 0.76, N = 32593.952732.321783.161877.551803.971002.41974.80917.27902.941002.97581.54458.51
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: NVIDIA OptiXGTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30805001000150020002500Min: 2592.89 / Avg: 2593.95 / Max: 2594.53Min: 2722.28 / Avg: 2732.32 / Max: 2750.12Min: 1778.67 / Avg: 1783.16 / Max: 1792.02Min: 1870.56 / Avg: 1877.55 / Max: 1882.88Min: 1801 / Avg: 1803.97 / Max: 1806.39Min: 1001.59 / Avg: 1002.41 / Max: 1003.27Min: 973.76 / Avg: 974.8 / Max: 975.96Min: 917.06 / Avg: 917.27 / Max: 917.42Min: 899.93 / Avg: 902.94 / Max: 905.39Min: 1000.12 / Avg: 1002.97 / Max: 1004.61Min: 578.53 / Avg: 581.54 / Max: 583.46Min: 457.07 / Avg: 458.51 / Max: 459.64

LuxCoreRender OpenCL

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on OpenCL accelerators/GPUs. The alternative luxcorerender test profile is for CPU execution due to a difference in tests, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: DLSCGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30803691215SE +/- 0.03, N = 12SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.08, N = 12SE +/- 0.06, N = 12SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.14, N = 12SE +/- 0.15, N = 121.732.602.373.313.964.194.294.204.345.655.467.139.29MIN: 0.43 / MAX: 1.81MIN: 2.33 / MAX: 2.67MIN: 2.26 / MAX: 2.42MIN: 1.83 / MAX: 3.4MIN: 3.76 / MAX: 4.1MIN: 4.09 / MAX: 4.28MIN: 1.19 / MAX: 4.5MIN: 1.51 / MAX: 4.4MIN: 3.08 / MAX: 4.47MIN: 5.25 / MAX: 5.77MIN: 3.9 / MAX: 5.67MIN: 1.94 / MAX: 7.5MIN: 3.1 / MAX: 9.73
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender OpenCL 2.3Scene: DLSCGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30800.0090.0180.0270.0360.0450.020.030.030.030.030.030.030.030.030.030.030.040.04
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: DLSCGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30803691215Min: 1.38 / Avg: 1.73 / Max: 1.77Min: 2.59 / Avg: 2.6 / Max: 2.6Min: 2.36 / Avg: 2.37 / Max: 2.37Min: 3.29 / Avg: 3.31 / Max: 3.32Min: 3.94 / Avg: 3.96 / Max: 3.97Min: 4.18 / Avg: 4.19 / Max: 4.19Min: 3.42 / Avg: 4.29 / Max: 4.39Min: 3.53 / Avg: 4.2 / Max: 4.28Min: 4.31 / Avg: 4.34 / Max: 4.37Min: 5.64 / Avg: 5.65 / Max: 5.67Min: 5.45 / Avg: 5.46 / Max: 5.48Min: 5.62 / Avg: 7.13 / Max: 7.29Min: 7.61 / Avg: 9.29 / Max: 9.5

Geekbench

This is a benchmark of Geekbench 5 Pro. The test profile automates the execution of Geekbench 5 under the Phoronix Test Suite, assuming you have a valid license key for Geekbench 5 Pro. This test will not work without a valid license key for Geekbench Pro. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterGeekbench 5Test: GPU OpenCLGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308040K80K120K160K200KSE +/- 218.79, N = 3SE +/- 558.50, N = 3SE +/- 420.54, N = 3SE +/- 772.57, N = 3SE +/- 823.09, N = 3SE +/- 668.55, N = 3SE +/- 521.87, N = 3SE +/- 200.07, N = 3SE +/- 1025.87, N = 3SE +/- 303.84, N = 3SE +/- 1711.48, N = 3SE +/- 1279.48, N = 3SE +/- 733.75, N = 3367986468064871807128707693805105899114773124272152583151148132421197267
OpenBenchmarking.orgScore Per Watt, More Is BetterGeekbench 5Test: GPU OpenCLGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30805001000150020002500766.731296.981730.981473.911457.661631.211658.791613.121855.401962.161557.542278.181936.50
OpenBenchmarking.orgScore, More Is BetterGeekbench 5Test: GPU OpenCLGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308030K60K90K120K150KMin: 36452 / Avg: 36798 / Max: 37203Min: 63639 / Avg: 64680.33 / Max: 65551Min: 64118 / Avg: 64871 / Max: 65572Min: 79172 / Avg: 80711.67 / Max: 81594Min: 85433 / Avg: 87076 / Max: 87986Min: 92778 / Avg: 93805 / Max: 95060Min: 105094 / Avg: 105899.33 / Max: 106877Min: 114373 / Avg: 114773 / Max: 114982Min: 122274 / Avg: 124272 / Max: 125675Min: 152034 / Avg: 152583.33 / Max: 153083Min: 148329 / Avg: 151148 / Max: 154239Min: 130022 / Avg: 132420.67 / Max: 134392Min: 196456 / Avg: 197267.33 / Max: 198732

LuxCoreRender OpenCL

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on OpenCL accelerators/GPUs. The alternative luxcorerender test profile is for CPU execution due to a difference in tests, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: LuxCore BenchmarkGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080246810SE +/- 0.03, N = 12SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 12SE +/- 0.04, N = 12SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 12SE +/- 0.07, N = 141.452.201.962.763.263.513.573.483.614.604.425.797.26MIN: 0.12 / MAX: 1.67MIN: 0.2 / MAX: 2.52MIN: 0.23 / MAX: 2.27MIN: 0.24 / MAX: 3.15MIN: 0.23 / MAX: 3.79MIN: 0.23 / MAX: 4.01MIN: 0.12 / MAX: 4.19MIN: 0.14 / MAX: 4.06MIN: 0.23 / MAX: 4.14MIN: 0.27 / MAX: 5.34MIN: 0.27 / MAX: 5.17MIN: 0.12 / MAX: 6.75MIN: 0.15 / MAX: 8.46
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender OpenCL 2.3Scene: LuxCore BenchmarkGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30800.0090.0180.0270.0360.0450.020.020.030.030.030.030.030.020.030.020.020.040.03
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: LuxCore BenchmarkGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30803691215Min: 1.16 / Avg: 1.45 / Max: 1.49Min: 2.18 / Avg: 2.2 / Max: 2.22Min: 1.94 / Avg: 1.96 / Max: 2Min: 2.74 / Avg: 2.76 / Max: 2.78Min: 3.22 / Avg: 3.26 / Max: 3.29Min: 3.5 / Avg: 3.51 / Max: 3.53Min: 2.91 / Avg: 3.57 / Max: 3.69Min: 3.01 / Avg: 3.48 / Max: 3.55Min: 3.6 / Avg: 3.61 / Max: 3.63Min: 4.56 / Avg: 4.6 / Max: 4.63Min: 4.36 / Avg: 4.42 / Max: 4.52Min: 4.61 / Avg: 5.79 / Max: 5.99Min: 6.42 / Avg: 7.26 / Max: 7.4

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: SHA-512GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080500M1000M1500M2000M2500MSE +/- 1680378.97, N = 7SE +/- 537821.25, N = 7SE +/- 824002.18, N = 7SE +/- 1478370.13, N = 7SE +/- 1642277.33, N = 7SE +/- 1566073.13, N = 7SE +/- 953653.91, N = 7SE +/- 2244509.55, N = 7SE +/- 900264.51, N = 7SE +/- 1585907.32, N = 7SE +/- 4053921.28, N = 6SE +/- 849289.42, N = 7SE +/- 3329521.63, N = 74652714297845142867947428571035028571110484285712127857141399242857153541428617053000002223128571211881666714069285712306700000
OpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.1.1Benchmark: SHA-512GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30803M6M9M12M15M6439856.1510393151.8111525083.3711143378.5310630748.2712061400.8011496268.3312234041.6912407758.8414695988.6412848448.8012797897.1912429064.19
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: SHA-512GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080400M800M1200M1600M2000MMin: 455700000 / Avg: 465271428.57 / Max: 469500000Min: 782600000 / Avg: 784514285.71 / Max: 786500000Min: 791100000 / Avg: 794742857.14 / Max: 796800000Min: 1031700000 / Avg: 1035028571.43 / Max: 1043100000Min: 1099900000 / Avg: 1104842857.14 / Max: 1111700000Min: 1207000000 / Avg: 1212785714.29 / Max: 1217500000Min: 1394100000 / Avg: 1399242857.14 / Max: 1402000000Min: 1527000000 / Avg: 1535414285.71 / Max: 1543200000Min: 1701000000 / Avg: 1705300000 / Max: 1708300000Min: 2215900000 / Avg: 2223128571.43 / Max: 2228000000Min: 2101300000 / Avg: 2118816666.67 / Max: 2131400000Min: 1402900000 / Avg: 1406928571.43 / Max: 1409100000Min: 2295000000 / Avg: 2306700000 / Max: 2317700000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: TrueCrypt RIPEMD160 + XTSGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080150K300K450K600K750KSE +/- 1264.28, N = 11SE +/- 2205.50, N = 10SE +/- 494.41, N = 8SE +/- 1010.44, N = 8SE +/- 2317.91, N = 10SE +/- 366.29, N = 9SE +/- 3357.49, N = 15SE +/- 1086.65, N = 7SE +/- 4540.66, N = 15SE +/- 1367.60, N = 7SE +/- 3170.74, N = 8SE +/- 3786.64, N = 9SE +/- 2510.22, N = 8142264237900236988306825324240359933423593458971524033650229625550434067692388
OpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.1.1Benchmark: TrueCrypt RIPEMD160 + XTSGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080120024003600480060002915.073798.773963.533869.994691.054924.794726.824417.863899.844940.535053.525389.755092.00
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: TrueCrypt RIPEMD160 + XTSGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080120K240K360K480K600KMin: 133900 / Avg: 142263.64 / Max: 150200Min: 229000 / Avg: 237900 / Max: 250200Min: 234000 / Avg: 236987.5 / Max: 238800Min: 302700 / Avg: 306825 / Max: 310200Min: 309100 / Avg: 324240 / Max: 333200Min: 358500 / Avg: 359933.33 / Max: 361500Min: 400600 / Avg: 423593.33 / Max: 451300Min: 455400 / Avg: 458971.43 / Max: 464300Min: 501100 / Avg: 524033.33 / Max: 542500Min: 643500 / Avg: 650228.57 / Max: 655200Min: 609700 / Avg: 625550 / Max: 636600Min: 426900 / Avg: 434066.67 / Max: 454300Min: 676500 / Avg: 692387.5 / Max: 700200

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: OpenCLGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30806K12K18K24K30KSE +/- 48.50, N = 3SE +/- 20.08, N = 3SE +/- 72.01, N = 3SE +/- 85.05, N = 3SE +/- 33.40, N = 3SE +/- 60.47, N = 3SE +/- 59.70, N = 3SE +/- 43.62, N = 3SE +/- 84.56, N = 3SE +/- 133.47, N = 3SE +/- 141.13, N = 3SE +/- 47.37, N = 3SE +/- 105.50, N = 3592573247051102491128412723143321575817915232692108422842283891. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.26Backend: OpenCLGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308030609012015055.1161.3360.9367.8768.8176.5077.6282.8791.4494.3082.37120.64103.85
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: OpenCLGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30805K10K15K20K25KMin: 5841 / Avg: 5924.67 / Max: 6009Min: 7297 / Avg: 7323.67 / Max: 7363Min: 6909 / Avg: 7050.67 / Max: 7144Min: 10079 / Avg: 10248.67 / Max: 10344Min: 11235 / Avg: 11284.33 / Max: 11348Min: 12603 / Avg: 12723 / Max: 12796Min: 14264 / Avg: 14332 / Max: 14451Min: 15709 / Avg: 15758 / Max: 15845Min: 17825 / Avg: 17915 / Max: 18084Min: 23075 / Avg: 23269.33 / Max: 23525Min: 20894 / Avg: 21084.33 / Max: 21360Min: 22758 / Avg: 22841.67 / Max: 22922Min: 28179 / Avg: 28388.67 / Max: 285141. (CXX) g++ options: -flto -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: 7-ZipGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080200K400K600K800K1000KSE +/- 915.40, N = 12SE +/- 2811.01, N = 15SE +/- 2005.81, N = 11SE +/- 4365.82, N = 12SE +/- 2513.28, N = 11SE +/- 249.73, N = 11SE +/- 6166.48, N = 15SE +/- 4180.88, N = 13SE +/- 6880.46, N = 15SE +/- 6317.53, N = 10SE +/- 6837.61, N = 10SE +/- 558.54, N = 11SE +/- 2622.40, N = 10198242333847335700433342459973504100577947639915704180882560837420586918939290
OpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.1.1Benchmark: 7-ZipGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30802K4K6K8K10K3824.577098.628357.978031.647181.638840.468523.908699.019972.8311015.308110.589708.438221.93
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: 7-ZipGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080160K320K480K640K800KMin: 190900 / Avg: 198241.67 / Max: 200700Min: 298000 / Avg: 333846.67 / Max: 340000Min: 322500 / Avg: 335700 / Max: 343300Min: 393000 / Avg: 433341.67 / Max: 441300Min: 437400 / Avg: 459972.73 / Max: 467600Min: 503200 / Avg: 504100 / Max: 506000Min: 528200 / Avg: 577946.67 / Max: 594900Min: 605700 / Avg: 639915.38 / Max: 648300Min: 627300 / Avg: 704180 / Max: 719700Min: 834600 / Avg: 882560 / Max: 896600Min: 788100 / Avg: 837420 / Max: 859800Min: 583000 / Avg: 586918.18 / Max: 589300Min: 929400 / Avg: 939290 / Max: 957400

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: BedroomGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308048121620SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.008, N = 3SE +/- 0.001, N = 3SE +/- 0.009, N = 3SE +/- 0.008, N = 3SE +/- 0.005, N = 3SE +/- 0.014, N = 3SE +/- 0.009, N = 3SE +/- 0.002, N = 3SE +/- 0.024, N = 33.5474.6624.3605.5346.8657.3947.6777.7117.88410.91310.58811.39416.595
OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: BedroomGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30800.01580.03160.04740.06320.0790.050.050.050.050.050.060.050.050.060.050.050.070.07
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: BedroomGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308048121620Min: 3.54 / Avg: 3.55 / Max: 3.55Min: 4.66 / Avg: 4.66 / Max: 4.67Min: 4.36 / Avg: 4.36 / Max: 4.36Min: 5.53 / Avg: 5.53 / Max: 5.54Min: 6.85 / Avg: 6.87 / Max: 6.88Min: 7.39 / Avg: 7.39 / Max: 7.4Min: 7.66 / Avg: 7.68 / Max: 7.69Min: 7.7 / Avg: 7.71 / Max: 7.73Min: 7.87 / Avg: 7.88 / Max: 7.89Min: 10.9 / Avg: 10.91 / Max: 10.94Min: 10.58 / Avg: 10.59 / Max: 10.61Min: 11.39 / Avg: 11.39 / Max: 11.4Min: 16.55 / Avg: 16.6 / Max: 16.63

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: MD5GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308012000M24000M36000M48000M60000MSE +/- 29398291.17, N = 7SE +/- 46882020.11, N = 7SE +/- 40766579.62, N = 7SE +/- 34176226.97, N = 7SE +/- 41830567.71, N = 7SE +/- 181560574.59, N = 7SE +/- 41495700.95, N = 7SE +/- 109307854.28, N = 7SE +/- 63553325.94, N = 7SE +/- 98630343.33, N = 7SE +/- 147390714.04, N = 7SE +/- 53297878.10, N = 7SE +/- 102079526.49, N = 712897400000179977000001835481428625730414286274346142862999667142935026971429385817285714256570000055740728571530863142863299200000054030314286
OpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.1.1Benchmark: MD5GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308080M160M240M320M400M184587919.24244831690.71286208945.71278488631.45275454497.06313223916.56288952169.21322401428.48311117905.89396354718.56341784951.41311715797.43311017484.35
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: MD5GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308010000M20000M30000M40000M50000MMin: 12818400000 / Avg: 12897400000 / Max: 12997600000Min: 17775000000 / Avg: 17997700000 / Max: 18184700000Min: 18180700000 / Avg: 18354814285.71 / Max: 18471900000Min: 25603300000 / Avg: 25730414285.71 / Max: 25884700000Min: 27276600000 / Avg: 27434614285.71 / Max: 27547200000Min: 28933000000 / Avg: 29996671428.57 / Max: 30282500000Min: 34913000000 / Avg: 35026971428.57 / Max: 35210500000Min: 38269600000 / Avg: 38581728571.43 / Max: 39045100000Min: 42300300000 / Avg: 42565700000 / Max: 42770800000Min: 55433200000 / Avg: 55740728571.43 / Max: 56126500000Min: 52488500000 / Avg: 53086314285.71 / Max: 53694900000Min: 32727200000 / Avg: 32992000000 / Max: 33174300000Min: 53805600000 / Avg: 54030314285.71 / Max: 54436200000

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30802004006008001000SE +/- 0.32, N = 4SE +/- 0.24, N = 4SE +/- 0.27, N = 5SE +/- 0.32, N = 5SE +/- 0.34, N = 5SE +/- 0.20, N = 5SE +/- 0.88, N = 6SE +/- 0.60, N = 5SE +/- 0.40, N = 6SE +/- 0.56, N = 6SE +/- 1.90, N = 6SE +/- 0.90, N = 6SE +/- 2.17, N = 6226.15296.82299.07389.45416.15447.06498.24544.72587.72747.50718.51686.66975.56
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308036912153.484.785.145.104.996.126.036.187.047.716.569.368.30
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30802004006008001000Min: 225.52 / Avg: 226.15 / Max: 227.02Min: 296.21 / Avg: 296.82 / Max: 297.31Min: 298.26 / Avg: 299.07 / Max: 299.74Min: 388.43 / Avg: 389.45 / Max: 390.16Min: 415.17 / Avg: 416.15 / Max: 417.04Min: 446.35 / Avg: 447.06 / Max: 447.42Min: 494.9 / Avg: 498.24 / Max: 500.2Min: 543.08 / Avg: 544.72 / Max: 546.46Min: 586.39 / Avg: 587.72 / Max: 589.13Min: 745.18 / Avg: 747.5 / Max: 748.78Min: 713.74 / Avg: 718.51 / Max: 725.6Min: 684.22 / Avg: 686.66 / Max: 690.33Min: 966.08 / Avg: 975.56 / Max: 978.91

Meta Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per WattsGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30802K4K6K8K10K2331.463523.293346.524332.554907.675278.845749.585999.926419.108097.457834.126912.7110055.70

clpeak

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

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080140280420560700SE +/- 0.06, N = 10SE +/- 1.52, N = 12SE +/- 0.45, N = 12SE +/- 1.44, N = 15SE +/- 0.50, N = 13SE +/- 0.21, N = 15SE +/- 2.10, N = 14SE +/- 0.09, N = 13SE +/- 0.07, N = 15SE +/- 3.38, N = 12SE +/- 2.39, N = 13SE +/- 0.15, N = 15SE +/- 4.38, N = 12147.51273.92222.01275.12348.06368.84367.04368.91405.77502.73484.40389.02633.341. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGBPS Per Watt, More Is BetterclpeakOpenCL Test: Global Memory BandwidthGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30802468103.396.375.875.516.628.096.506.327.195.986.137.456.21
OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080110220330440550Min: 147.09 / Avg: 147.51 / Max: 147.82Min: 262.59 / Avg: 273.92 / Max: 276.73Min: 220.15 / Avg: 222.01 / Max: 225.43Min: 255.43 / Avg: 275.12 / Max: 277.41Min: 345.79 / Avg: 348.06 / Max: 352.88Min: 366.21 / Avg: 368.84 / Max: 369.33Min: 340.36 / Avg: 367.04 / Max: 369.9Min: 368.02 / Avg: 368.91 / Max: 369.26Min: 404.86 / Avg: 405.77 / Max: 405.98Min: 475.15 / Avg: 502.73 / Max: 509.26Min: 470.15 / Avg: 484.4 / Max: 501.89Min: 386.92 / Avg: 389.02 / Max: 389.29Min: 602.21 / Avg: 633.34 / Max: 650.491. (CXX) g++ options: -O3 -rdynamic -lOpenCL

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: SupercarGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30801020304050SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.23, N = 310.2815.2414.3018.2521.6723.4324.4924.8325.4833.1931.7633.5243.59
OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: SupercarGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30800.05180.10360.15540.20720.2590.160.160.180.170.170.180.180.180.180.170.150.230.19
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: SupercarGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080918273645Min: 10.27 / Avg: 10.28 / Max: 10.3Min: 15.19 / Avg: 15.24 / Max: 15.3Min: 14.3 / Avg: 14.3 / Max: 14.32Min: 18.24 / Avg: 18.25 / Max: 18.26Min: 21.54 / Avg: 21.67 / Max: 21.84Min: 23.4 / Avg: 23.43 / Max: 23.45Min: 24.48 / Avg: 24.49 / Max: 24.51Min: 24.81 / Avg: 24.83 / Max: 24.84Min: 25.33 / Avg: 25.48 / Max: 25.57Min: 32.94 / Avg: 33.19 / Max: 33.32Min: 31.53 / Avg: 31.76 / Max: 32Min: 33.47 / Avg: 33.52 / Max: 33.57Min: 43.16 / Avg: 43.59 / Max: 43.93

Geekbench

This is a benchmark of Geekbench 5 Pro. The test profile automates the execution of Geekbench 5 under the Phoronix Test Suite, assuming you have a valid license key for Geekbench 5 Pro. This test will not work without a valid license key for Geekbench Pro. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterGeekbench 5Test: GPU VulkanGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308030K60K90K120K150KSE +/- 331.69, N = 3SE +/- 423.81, N = 3SE +/- 734.49, N = 3SE +/- 820.21, N = 3SE +/- 343.85, N = 3SE +/- 421.33, N = 3SE +/- 1315.57, N = 3SE +/- 1128.61, N = 3SE +/- 1145.26, N = 8SE +/- 1281.91, N = 15SE +/- 1193.73, N = 15SE +/- 923.31, N = 15SE +/- 1286.56, N = 153784460351590637268975750851259608298487108359132489128003112321158724
OpenBenchmarking.orgScore Per Watt, More Is BetterGeekbench 5Test: GPU VulkanGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080400800120016002000715.071126.661281.071275.011116.651608.471469.221362.741486.191592.921301.461806.211502.88
OpenBenchmarking.orgScore, More Is BetterGeekbench 5Test: GPU VulkanGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308030K60K90K120K150KMin: 37212 / Avg: 37843.67 / Max: 38335Min: 59611 / Avg: 60350.67 / Max: 61079Min: 57969 / Avg: 59063 / Max: 60459Min: 71109 / Avg: 72689 / Max: 73861Min: 75325 / Avg: 75750.33 / Max: 76431Min: 84421 / Avg: 85124.67 / Max: 85878Min: 93661 / Avg: 96081.67 / Max: 98185Min: 96565 / Avg: 98486.67 / Max: 100473Min: 101772 / Avg: 108359 / Max: 111665Min: 125372 / Avg: 132488.67 / Max: 139306Min: 118188 / Avg: 128003.33 / Max: 134916Min: 103150 / Avg: 112321.27 / Max: 116414Min: 150277 / Avg: 158724.13 / Max: 167398

cl-mem

A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080130260390520650SE +/- 0.36, N = 5SE +/- 1.33, N = 7SE +/- 0.26, N = 6SE +/- 0.38, N = 7SE +/- 0.28, N = 7SE +/- 0.27, N = 8SE +/- 1.89, N = 7SE +/- 1.71, N = 8SE +/- 2.08, N = 8SE +/- 1.82, N = 8SE +/- 1.51, N = 8SE +/- 0.03, N = 8SE +/- 2.78, N = 9147.4230.0207.4251.2311.8328.4313.9334.2344.1445.4456.0383.6615.31. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: WriteGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30801.0892.1783.2674.3565.4452.743.373.583.633.804.433.663.964.313.913.904.844.53
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080110220330440550Min: 146.4 / Avg: 147.38 / Max: 148.2Min: 226 / Avg: 230.01 / Max: 234.6Min: 206.8 / Avg: 207.38 / Max: 208.3Min: 249.9 / Avg: 251.19 / Max: 252.5Min: 310.7 / Avg: 311.77 / Max: 312.9Min: 327.3 / Avg: 328.38 / Max: 329.5Min: 305.2 / Avg: 313.91 / Max: 318.1Min: 326.3 / Avg: 334.23 / Max: 338.7Min: 332.4 / Avg: 344.13 / Max: 348.9Min: 433.7 / Avg: 445.35 / Max: 449.5Min: 450.8 / Avg: 456 / Max: 463.1Min: 383.5 / Avg: 383.63 / Max: 383.7Min: 594.3 / Avg: 615.33 / Max: 620.41. (CC) gcc options: -O2 -flto -lOpenCL

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: SHA1GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30804000M8000M12000M16000M20000MSE +/- 6046717.22, N = 7SE +/- 10473604.66, N = 7SE +/- 43107894.32, N = 15SE +/- 12096446.32, N = 7SE +/- 13942803.47, N = 7SE +/- 9114520.82, N = 7SE +/- 7407910.83, N = 7SE +/- 10928839.09, N = 7SE +/- 40239943.60, N = 7SE +/- 26687552.20, N = 7SE +/- 31084579.96, N = 6SE +/- 8294912.79, N = 7SE +/- 36837886.26, N = 744024428576178314286621996000081582857148747071429955891428610984400000121950000001346771428617840385714169358333331109117142918345528571
OpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.1.1Benchmark: SHA1GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308030M60M90M120M150M60925712.5785534112.7294836299.4289207530.6284129215.9197164967.4994385776.1096128268.62102514995.64121618842.58104602759.10103115175.84100535705.76
OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: SHA1GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30803000M6000M9000M12000M15000MMin: 4390300000 / Avg: 4402442857.14 / Max: 4429500000Min: 6149700000 / Avg: 6178314285.71 / Max: 6236100000Min: 5624200000 / Avg: 6219960000 / Max: 6310600000Min: 8121900000 / Avg: 8158285714.29 / Max: 8206700000Min: 8709200000 / Avg: 8747071428.57 / Max: 8791200000Min: 9520800000 / Avg: 9558914285.71 / Max: 9583800000Min: 10942300000 / Avg: 10984400000 / Max: 10999600000Min: 12149800000 / Avg: 12195000000 / Max: 12239500000Min: 13324200000 / Avg: 13467714285.71 / Max: 13645100000Min: 17765100000 / Avg: 17840385714.29 / Max: 17945800000Min: 16805800000 / Avg: 16935833333.33 / Max: 17026200000Min: 11062600000 / Avg: 11091171428.57 / Max: 11126900000Min: 18221600000 / Avg: 18345528571.43 / Max: 18457100000

cl-mem

A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080140280420560700SE +/- 0.02, N = 5SE +/- 1.52, N = 7SE +/- 0.50, N = 6SE +/- 0.07, N = 7SE +/- 0.23, N = 7SE +/- 0.10, N = 8SE +/- 1.82, N = 7SE +/- 1.61, N = 8SE +/- 2.29, N = 8SE +/- 3.54, N = 8SE +/- 2.07, N = 8SE +/- 0.06, N = 8SE +/- 5.82, N = 9152.8293.5235.4297.3372.2396.7394.2394.1434.4540.7514.5393.5634.11. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: ReadGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30801.19482.38963.58444.77925.9742.824.274.094.154.415.224.504.555.315.014.275.024.62
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080110220330440550Min: 152.7 / Avg: 152.76 / Max: 152.8Min: 287.2 / Avg: 293.46 / Max: 296.7Min: 234 / Avg: 235.42 / Max: 236.9Min: 297.1 / Avg: 297.31 / Max: 297.5Min: 371.3 / Avg: 372.17 / Max: 373.1Min: 396.5 / Avg: 396.73 / Max: 397.1Min: 384.1 / Avg: 394.24 / Max: 397Min: 386.5 / Avg: 394.13 / Max: 397.1Min: 419.4 / Avg: 434.4 / Max: 437.8Min: 518.2 / Avg: 540.68 / Max: 546Min: 504.9 / Avg: 514.45 / Max: 521.2Min: 393.1 / Avg: 393.49 / Max: 393.6Min: 605.9 / Avg: 634.08 / Max: 650.71. (CC) gcc options: -O2 -flto -lOpenCL

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: YesGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080306090120150SE +/- 0.24, N = 3SE +/- 0.11, N = 3SE +/- 0.17, N = 3SE +/- 0.26, N = 3SE +/- 0.34, N = 3SE +/- 0.43, N = 3SE +/- 0.18, N = 3SE +/- 0.31, N = 3SE +/- 0.14, N = 3SE +/- 0.16, N = 3SE +/- 0.18, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3144.63120.91123.8586.6080.5974.8163.7560.1054.7844.7345.5552.4735.72
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080306090120150Min: 144.16 / Avg: 144.63 / Max: 144.98Min: 120.69 / Avg: 120.91 / Max: 121.05Min: 123.54 / Avg: 123.85 / Max: 124.14Min: 86.09 / Avg: 86.6 / Max: 86.96Min: 79.9 / Avg: 80.59 / Max: 80.93Min: 73.96 / Avg: 74.81 / Max: 75.39Min: 63.43 / Avg: 63.75 / Max: 64.03Min: 59.48 / Avg: 60.1 / Max: 60.5Min: 54.52 / Avg: 54.78 / Max: 54.99Min: 44.42 / Avg: 44.72 / Max: 44.95Min: 45.2 / Avg: 45.55 / Max: 45.8Min: 52.34 / Avg: 52.47 / Max: 52.57Min: 35.53 / Avg: 35.72 / Max: 36.07

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 20200916Target: Vulkan GPU - Model: vgg16GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080510152025SE +/- 0.04, N = 3SE +/- 0.04, N = 15SE +/- 0.14, N = 3SE +/- 0.05, N = 15SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 15SE +/- 0.06, N = 15SE +/- 0.04, N = 15SE +/- 0.03, N = 15SE +/- 0.04, N = 3SE +/- 0.07, N = 1218.5413.9715.0910.329.858.968.207.697.445.686.286.024.71MIN: 17.62 / MAX: 31.07MIN: 11.92 / MAX: 39.63MIN: 12.16 / MAX: 32.96MIN: 9.24 / MAX: 31.92MIN: 8.27 / MAX: 27.4MIN: 7.8 / MAX: 24.64MIN: 6.99 / MAX: 25.35MIN: 6.57 / MAX: 26.43MIN: 6.29 / MAX: 26.19MIN: 5 / MAX: 27.84MIN: 4.88 / MAX: 25.09MIN: 5.48 / MAX: 23.38MIN: 4 / MAX: 20.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080510152025Min: 18.46 / Avg: 18.54 / Max: 18.61Min: 13.7 / Avg: 13.97 / Max: 14.16Min: 14.85 / Avg: 15.09 / Max: 15.35Min: 10.03 / Avg: 10.32 / Max: 10.65Min: 9.64 / Avg: 9.85 / Max: 9.96Min: 8.85 / Avg: 8.96 / Max: 9.09Min: 8.14 / Avg: 8.2 / Max: 8.28Min: 7.47 / Avg: 7.69 / Max: 8.05Min: 7.08 / Avg: 7.44 / Max: 7.85Min: 5.39 / Avg: 5.68 / Max: 6.11Min: 6.09 / Avg: 6.28 / Max: 6.5Min: 5.96 / Avg: 6.02 / Max: 6.09Min: 4.36 / Avg: 4.71 / Max: 5.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 2020-09-29GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308011K22K33K44K55KSE +/- 4.67, N = 3SE +/- 34.18, N = 3SE +/- 14.84, N = 3SE +/- 27.14, N = 3SE +/- 51.26, N = 3SE +/- 10.04, N = 3SE +/- 58.08, N = 3SE +/- 62.43, N = 3SE +/- 53.90, N = 3SE +/- 82.79, N = 3SE +/- 118.84, N = 3SE +/- 25.15, N = 3SE +/- 166.79, N = 312788184501709720883249752660027682285643072037384369333206549631
OpenBenchmarking.orgBenchmark Score Per Watt, More Is BetterVkFFT 2020-09-29GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308070140210280350188.54227.18241.67235.12250.53286.99264.03253.77281.33287.99261.32328.58329.04
OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-29GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30809K18K27K36K45KMin: 12781 / Avg: 12788.33 / Max: 12797Min: 18410 / Avg: 18450 / Max: 18518Min: 17073 / Avg: 17096.67 / Max: 17124Min: 20835 / Avg: 20882.67 / Max: 20929Min: 24915 / Avg: 24975 / Max: 25077Min: 26587 / Avg: 26600.33 / Max: 26620Min: 27588 / Avg: 27681.67 / Max: 27788Min: 28459 / Avg: 28564 / Max: 28675Min: 30612 / Avg: 30719.67 / Max: 30778Min: 37219 / Avg: 37383.67 / Max: 37481Min: 36721 / Avg: 36933.33 / Max: 37132Min: 32028 / Avg: 32065 / Max: 32113Min: 49453 / Avg: 49630.67 / Max: 49964

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30806001200180024003000SE +/- 1.55, N = 7SE +/- 3.18, N = 7SE +/- 1.27, N = 8SE +/- 3.21, N = 8SE +/- 3.27, N = 8SE +/- 2.41, N = 9SE +/- 6.37, N = 9SE +/- 3.83, N = 8SE +/- 3.49, N = 8SE +/- 8.40, N = 9SE +/- 5.99, N = 9SE +/- 2.49, N = 8SE +/- 9.67, N = 9778.991075.07985.971282.521509.021580.071707.651714.001831.762405.892394.821875.832995.56
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308071421283514.0919.7020.9121.4923.5125.2425.0924.6928.1129.9026.4031.5529.90
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30805001000150020002500Min: 773.27 / Avg: 778.99 / Max: 784.56Min: 1064.92 / Avg: 1075.07 / Max: 1087.55Min: 980.87 / Avg: 985.97 / Max: 991.2Min: 1271.28 / Avg: 1282.52 / Max: 1297.95Min: 1489.78 / Avg: 1509.02 / Max: 1517.64Min: 1567.09 / Avg: 1580.07 / Max: 1591.05Min: 1678.18 / Avg: 1707.65 / Max: 1727.65Min: 1700.29 / Avg: 1714 / Max: 1725.88Min: 1813.59 / Avg: 1831.76 / Max: 1842.59Min: 2357.86 / Avg: 2405.89 / Max: 2436.76Min: 2357.84 / Avg: 2394.82 / Max: 2416Min: 1866.17 / Avg: 1875.83 / Max: 1883.4Min: 2946.08 / Avg: 2995.56 / Max: 3029.89

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30808001600240032004000SE +/- 1.08, N = 7SE +/- 4.66, N = 7SE +/- 1.98, N = 8SE +/- 20.43, N = 15SE +/- 9.97, N = 8SE +/- 3.85, N = 8SE +/- 11.50, N = 8SE +/- 7.50, N = 8SE +/- 7.43, N = 8SE +/- 9.32, N = 8SE +/- 19.10, N = 8SE +/- 1.48, N = 8SE +/- 17.78, N = 8982.701371.101351.921696.451952.072008.992297.002340.012480.883227.213284.452439.193725.40
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080112233445519.8528.5333.0333.1434.9541.2236.7836.2443.2749.6741.5345.6643.22
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30806001200180024003000Min: 979.09 / Avg: 982.7 / Max: 987.95Min: 1358.44 / Avg: 1371.1 / Max: 1392.94Min: 1343 / Avg: 1351.92 / Max: 1362.31Min: 1413.29 / Avg: 1696.45 / Max: 1731.21Min: 1924.55 / Avg: 1952.07 / Max: 1992.16Min: 1986.64 / Avg: 2008.99 / Max: 2018.73Min: 2235.13 / Avg: 2297 / Max: 2322.19Min: 2298.05 / Avg: 2340.01 / Max: 2357.55Min: 2441.65 / Avg: 2480.88 / Max: 2500.51Min: 3194.29 / Avg: 3227.21 / Max: 3278.29Min: 3213.03 / Avg: 3284.45 / Max: 3367.63Min: 2432.83 / Avg: 2439.19 / Max: 2445.04Min: 3653.91 / Avg: 3725.4 / Max: 3804.12

MandelGPU

MandelGPU is an OpenCL benchmark and this test runs with the OpenCL rendering float4 kernel with a maximum of 4096 iterations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSamples/sec, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPUGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080100M200M300M400M500MSE +/- 458649.89, N = 5SE +/- 545279.65, N = 7SE +/- 615153.65, N = 7SE +/- 387178.22, N = 8SE +/- 2576635.94, N = 9SE +/- 1098102.02, N = 8SE +/- 1273824.38, N = 9SE +/- 2274447.08, N = 9SE +/- 1757515.78, N = 9SE +/- 2727377.34, N = 10SE +/- 2676982.40, N = 9SE +/- 552442.28, N = 8SE +/- 1875555.71, N = 9128084240.3198638055.8197542242.7247283060.7262260550.6280144899.1316276201.0341286781.7363715438.9446864473.4443646920.9278997773.1401282795.21. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL
OpenBenchmarking.orgSamples/sec Per Watt, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPUGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080900K1800K2700K3600K4500K1890713.652676263.233061658.832826824.402790140.783316968.863284888.703349006.113682880.254140168.013502262.873434300.753127589.37
OpenBenchmarking.orgSamples/sec, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPUGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308080M160M240M320M400MMin: 126500454.5 / Avg: 128084240.26 / Max: 129286724.4Min: 196944289.8 / Avg: 198638055.79 / Max: 201007827.1Min: 194882495.5 / Avg: 197542242.73 / Max: 199685950Min: 245613517.9 / Avg: 247283060.65 / Max: 248841236.2Min: 243708600.8 / Avg: 262260550.63 / Max: 269853251.7Min: 277470972.8 / Avg: 280144899.08 / Max: 286503328.6Min: 311250676.4 / Avg: 316276200.96 / Max: 324129243.4Min: 330793452.2 / Avg: 341286781.71 / Max: 351390457Min: 356670350.7 / Avg: 363715438.92 / Max: 371441441.2Min: 436980116.6 / Avg: 446864473.44 / Max: 466632721.1Min: 430559584.5 / Avg: 443646920.86 / Max: 454339710.9Min: 276653957 / Avg: 278997773.05 / Max: 280911117.6Min: 392013325.3 / Avg: 401282795.17 / Max: 409221222.51. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

clpeak

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

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080110220330440550SE +/- 0.30, N = 3SE +/- 0.26, N = 3SE +/- 0.50, N = 3SE +/- 0.32, N = 3SE +/- 0.38, N = 3SE +/- 0.79, N = 3SE +/- 0.34, N = 3SE +/- 1.04, N = 3SE +/- 0.26, N = 3SE +/- 2.16, N = 3SE +/- 2.49, N = 3SE +/- 0.58, N = 3SE +/- 1.61, N = 3150.15170.63173.67229.29245.51267.76306.51343.49373.04516.53498.14302.82514.401. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterclpeakOpenCL Test: Double-Precision DoubleGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30800.96531.93062.89593.86124.82653.072.993.673.443.073.793.583.574.294.143.564.043.52
OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308090180270360450Min: 149.68 / Avg: 150.15 / Max: 150.7Min: 170.1 / Avg: 170.63 / Max: 170.94Min: 172.98 / Avg: 173.67 / Max: 174.64Min: 228.64 / Avg: 229.29 / Max: 229.63Min: 244.85 / Avg: 245.51 / Max: 246.18Min: 266.84 / Avg: 267.76 / Max: 269.32Min: 305.83 / Avg: 306.51 / Max: 306.95Min: 341.5 / Avg: 343.49 / Max: 344.98Min: 372.67 / Avg: 373.04 / Max: 373.55Min: 512.55 / Avg: 516.53 / Max: 519.98Min: 494.65 / Avg: 498.14 / Max: 502.97Min: 302.1 / Avg: 302.82 / Max: 303.97Min: 511.19 / Avg: 514.4 / Max: 516.21. (CXX) g++ options: -O3 -rdynamic -lOpenCL

FinanceBench

FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-06-06Benchmark: Black-Scholes OpenCLGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308048121620SE +/- 0.326577, N = 15SE +/- 0.069806, N = 15SE +/- 0.162363, N = 15SE +/- 0.035770, N = 15SE +/- 0.162802, N = 15SE +/- 0.009511, N = 14SE +/- 0.048730, N = 14SE +/- 0.040260, N = 14SE +/- 0.083219, N = 15SE +/- 0.094451, N = 15SE +/- 0.224039, N = 15SE +/- 0.027743, N = 15SE +/- 0.043122, N = 1513.46800015.36100015.52506712.58700011.49200010.2630008.3180007.7150006.9120006.1580006.3720008.3740004.9210001. (CXX) g++ options: -O3 -lOpenCL
OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-06-06Benchmark: Black-Scholes OpenCLGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308048121620Min: 11.76 / Avg: 13.47 / Max: 15.76Min: 15.2 / Avg: 15.36 / Max: 16.05Min: 14.42 / Avg: 15.53 / Max: 16.58Min: 12.54 / Avg: 12.59 / Max: 13.09Min: 10.55 / Avg: 11.49 / Max: 12.71Min: 10.24 / Avg: 10.26 / Max: 10.34Min: 8.23 / Avg: 8.32 / Max: 8.8Min: 7.64 / Avg: 7.72 / Max: 8.15Min: 6.8 / Avg: 6.91 / Max: 8.03Min: 6.02 / Avg: 6.16 / Max: 7.21Min: 5.78 / Avg: 6.37 / Max: 8.52Min: 8.31 / Avg: 8.37 / Max: 8.74Min: 4.83 / Avg: 4.92 / Max: 5.51. (CXX) g++ options: -O3 -lOpenCL

ArrayFire

ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient OpenCLGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30801.13022.26043.39064.52085.651SE +/- 0.015, N = 9SE +/- 0.014, N = 10SE +/- 0.003, N = 10SE +/- 0.009, N = 10SE +/- 0.004, N = 10SE +/- 0.002, N = 10SE +/- 0.008, N = 10SE +/- 0.009, N = 9SE +/- 0.011, N = 10SE +/- 0.003, N = 10SE +/- 0.006, N = 10SE +/- 0.003, N = 10SE +/- 0.009, N = 95.0232.6703.2282.6712.1982.0942.0762.0941.9171.6781.7562.0941.6271. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient OpenCLGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080246810Min: 5 / Avg: 5.02 / Max: 5.14Min: 2.63 / Avg: 2.67 / Max: 2.75Min: 3.22 / Avg: 3.23 / Max: 3.25Min: 2.65 / Avg: 2.67 / Max: 2.74Min: 2.18 / Avg: 2.2 / Max: 2.22Min: 2.08 / Avg: 2.09 / Max: 2.11Min: 2.06 / Avg: 2.08 / Max: 2.15Min: 2.07 / Avg: 2.09 / Max: 2.14Min: 1.9 / Avg: 1.92 / Max: 2Min: 1.66 / Avg: 1.68 / Max: 1.69Min: 1.73 / Avg: 1.76 / Max: 1.79Min: 2.09 / Avg: 2.09 / Max: 2.12Min: 1.6 / Avg: 1.63 / Max: 1.691. (CXX) g++ options: -rdynamic

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308050100150200250SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.20, N = 3SE +/- 0.16, N = 3SE +/- 0.09, N = 3SE +/- 0.24, N = 3SE +/- 0.16, N = 3SE +/- 0.21, N = 3SE +/- 0.27, N = 3SE +/- 0.22, N = 3SE +/- 0.38, N = 378.9799.4993.61124.27137.81148.07148.55150.94159.34211.01208.22177.04243.50
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30800.59851.1971.79552.3942.99251.491.741.321.491.371.551.461.642.091.651.532.661.94
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30804080120160200Min: 78.97 / Avg: 78.97 / Max: 78.97Min: 99.43 / Avg: 99.49 / Max: 99.58Min: 93.37 / Avg: 93.61 / Max: 93.82Min: 124.13 / Avg: 124.27 / Max: 124.4Min: 137.56 / Avg: 137.81 / Max: 138.21Min: 147.88 / Avg: 148.07 / Max: 148.38Min: 148.37 / Avg: 148.55 / Max: 148.69Min: 150.53 / Avg: 150.94 / Max: 151.36Min: 159.07 / Avg: 159.34 / Max: 159.62Min: 210.79 / Avg: 211.01 / Max: 211.42Min: 207.75 / Avg: 208.22 / Max: 208.69Min: 176.68 / Avg: 177.04 / Max: 177.44Min: 242.74 / Avg: 243.5 / Max: 243.94

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: NoGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080510152025SE +/- 0.017, N = 3SE +/- 0.026, N = 3SE +/- 0.034, N = 3SE +/- 0.015, N = 4SE +/- 0.021, N = 4SE +/- 0.014, N = 4SE +/- 0.031, N = 5SE +/- 0.033, N = 5SE +/- 0.029, N = 5SE +/- 0.011, N = 6SE +/- 0.028, N = 6SE +/- 0.025, N = 5SE +/- 0.012, N = 620.12817.21417.73312.93612.37711.53710.2069.6119.0317.7438.0098.6336.576
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080510152025Min: 20.1 / Avg: 20.13 / Max: 20.16Min: 17.18 / Avg: 17.21 / Max: 17.26Min: 17.67 / Avg: 17.73 / Max: 17.79Min: 12.9 / Avg: 12.94 / Max: 12.97Min: 12.33 / Avg: 12.38 / Max: 12.43Min: 11.51 / Avg: 11.54 / Max: 11.57Min: 10.14 / Avg: 10.21 / Max: 10.29Min: 9.49 / Avg: 9.61 / Max: 9.68Min: 8.94 / Avg: 9.03 / Max: 9.1Min: 7.72 / Avg: 7.74 / Max: 7.79Min: 7.93 / Avg: 8.01 / Max: 8.1Min: 8.59 / Avg: 8.63 / Max: 8.73Min: 6.53 / Avg: 6.58 / Max: 6.61

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 2.3.2GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308070140210280350SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.21, N = 3SE +/- 0.21, N = 3SE +/- 0.37, N = 3SE +/- 0.40, N = 3SE +/- 0.17, N = 3SE +/- 0.19, N = 3SE +/- 0.32, N = 3SE +/- 0.36, N = 3SE +/- 1.07, N = 3SE +/- 0.19, N = 3SE +/- 0.28, N = 3101.29136.08129.50180.97189.08205.49227.77242.55257.48300.89270.68234.56306.77
OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterFAHBench 2.3.2GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30800.47250.9451.41751.892.36251.511.631.831.771.731.881.891.801.981.841.662.101.68
OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308060120180240300Min: 101.26 / Avg: 101.29 / Max: 101.31Min: 135.9 / Avg: 136.08 / Max: 136.2Min: 129.1 / Avg: 129.5 / Max: 129.8Min: 180.63 / Avg: 180.97 / Max: 181.36Min: 188.7 / Avg: 189.08 / Max: 189.82Min: 205.04 / Avg: 205.49 / Max: 206.29Min: 227.42 / Avg: 227.77 / Max: 228Min: 242.21 / Avg: 242.55 / Max: 242.88Min: 257.05 / Avg: 257.48 / Max: 258.11Min: 300.18 / Avg: 300.89 / Max: 301.31Min: 268.58 / Avg: 270.68 / Max: 272.09Min: 234.24 / Avg: 234.56 / Max: 234.9Min: 306.27 / Avg: 306.77 / Max: 307.22

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle FilterGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30803691215SE +/- 0.068, N = 4SE +/- 0.014, N = 4SE +/- 0.022, N = 4SE +/- 0.020, N = 5SE +/- 0.021, N = 5SE +/- 0.006, N = 6SE +/- 0.018, N = 6SE +/- 0.045, N = 6SE +/- 0.014, N = 7SE +/- 0.007, N = 8SE +/- 0.008, N = 8SE +/- 0.008, N = 6SE +/- 0.035, N = 1512.10511.61711.7469.0048.6567.8046.9806.3555.9044.4914.8056.9884.8551. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle FilterGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308048121620Min: 11.98 / Avg: 12.1 / Max: 12.29Min: 11.59 / Avg: 11.62 / Max: 11.66Min: 11.71 / Avg: 11.75 / Max: 11.81Min: 8.95 / Avg: 9 / Max: 9.08Min: 8.6 / Avg: 8.66 / Max: 8.73Min: 7.79 / Avg: 7.8 / Max: 7.83Min: 6.93 / Avg: 6.98 / Max: 7.05Min: 6.26 / Avg: 6.35 / Max: 6.57Min: 5.86 / Avg: 5.9 / Max: 5.97Min: 4.46 / Avg: 4.49 / Max: 4.52Min: 4.78 / Avg: 4.81 / Max: 4.84Min: 6.96 / Avg: 6.99 / Max: 7.01Min: 4.71 / Avg: 4.85 / Max: 5.31. (CXX) g++ options: -O2 -lOpenCL

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: YesGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30803691215SE +/- 0.036, N = 5SE +/- 0.026, N = 6SE +/- 0.030, N = 6SE +/- 0.029, N = 7SE +/- 0.030, N = 7SE +/- 0.022, N = 7SE +/- 0.028, N = 8SE +/- 0.020, N = 8SE +/- 0.020, N = 8SE +/- 0.021, N = 8SE +/- 0.023, N = 8SE +/- 0.032, N = 8SE +/- 0.028, N = 99.2517.0607.2435.7925.5535.2114.7694.5824.3683.8354.1244.2363.519
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30803691215Min: 9.18 / Avg: 9.25 / Max: 9.37Min: 7 / Avg: 7.06 / Max: 7.18Min: 7.13 / Avg: 7.24 / Max: 7.34Min: 5.72 / Avg: 5.79 / Max: 5.95Min: 5.47 / Avg: 5.55 / Max: 5.71Min: 5.17 / Avg: 5.21 / Max: 5.34Min: 4.69 / Avg: 4.77 / Max: 4.95Min: 4.54 / Avg: 4.58 / Max: 4.72Min: 4.31 / Avg: 4.37 / Max: 4.5Min: 3.78 / Avg: 3.84 / Max: 3.98Min: 4.06 / Avg: 4.12 / Max: 4.27Min: 4.18 / Avg: 4.24 / Max: 4.46Min: 3.45 / Avg: 3.52 / Max: 3.73

cl-mem

A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308070140210280350SE +/- 0.28, N = 5SE +/- 0.69, N = 7SE +/- 0.27, N = 6SE +/- 0.08, N = 7SE +/- 0.37, N = 7SE +/- 0.06, N = 8SE +/- 1.07, N = 7SE +/- 0.81, N = 8SE +/- 1.13, N = 8SE +/- 0.85, N = 8SE +/- 0.44, N = 8SE +/- 0.09, N = 8SE +/- 1.91, N = 9137.8239.0197.2239.0270.4284.5288.2288.5298.9320.8291.8298.2339.91. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: CopyGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30800.86631.73262.59893.46524.33152.593.483.493.493.393.823.383.423.773.052.583.852.52
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308060120180240300Min: 137.2 / Avg: 137.8 / Max: 138.5Min: 234.9 / Avg: 238.99 / Max: 240.1Min: 196.5 / Avg: 197.18 / Max: 198.1Min: 238.8 / Avg: 238.96 / Max: 239.2Min: 268.8 / Avg: 270.37 / Max: 271.3Min: 284.3 / Avg: 284.5 / Max: 284.7Min: 284.7 / Avg: 288.24 / Max: 291.7Min: 284.8 / Avg: 288.46 / Max: 290.2Min: 293.8 / Avg: 298.9 / Max: 301.1Min: 316 / Avg: 320.75 / Max: 323Min: 290.6 / Avg: 291.81 / Max: 293.6Min: 297.8 / Avg: 298.2 / Max: 298.6Min: 330.2 / Avg: 339.89 / Max: 3451. (CC) gcc options: -O2 -flto -lOpenCL

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30802004006008001000SE +/- 0.11, N = 3SE +/- 0.67, N = 3SE +/- 0.18, N = 3SE +/- 0.17, N = 3SE +/- 0.20, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.19, N = 3SE +/- 0.68, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3973.87476.55489.37210.22209.05198.24135.34135.02130.28104.80114.0086.2059.14
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30802004006008001000Min: 973.65 / Avg: 973.87 / Max: 974.03Min: 475.72 / Avg: 476.55 / Max: 477.87Min: 489.11 / Avg: 489.37 / Max: 489.72Min: 209.9 / Avg: 210.22 / Max: 210.49Min: 208.84 / Avg: 209.05 / Max: 209.45Min: 198.04 / Avg: 198.24 / Max: 198.35Min: 135.22 / Avg: 135.34 / Max: 135.47Min: 134.91 / Avg: 135.02 / Max: 135.08Min: 130.2 / Avg: 130.28 / Max: 130.39Min: 104.42 / Avg: 104.8 / Max: 105Min: 112.69 / Avg: 114 / Max: 114.95Min: 86.08 / Avg: 86.2 / Max: 86.29Min: 59.03 / Avg: 59.14 / Max: 59.22

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: NVIDIA OptiXGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308070140210280350SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3344.25165.55168.1868.2263.2258.1748.8445.9843.5733.0935.1237.2422.73
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: NVIDIA OptiXGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308060120180240300Min: 344.07 / Avg: 344.25 / Max: 344.37Min: 165.42 / Avg: 165.55 / Max: 165.77Min: 168.03 / Avg: 168.18 / Max: 168.33Min: 68.14 / Avg: 68.22 / Max: 68.26Min: 62.99 / Avg: 63.22 / Max: 63.54Min: 58.1 / Avg: 58.17 / Max: 58.22Min: 48.83 / Avg: 48.84 / Max: 48.86Min: 45.94 / Avg: 45.98 / Max: 46.02Min: 43.53 / Avg: 43.57 / Max: 43.63Min: 33.05 / Avg: 33.09 / Max: 33.12Min: 34.93 / Avg: 35.12 / Max: 35.37Min: 37.23 / Avg: 37.24 / Max: 37.25Min: 22.66 / Avg: 22.73 / Max: 22.82

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: NVIDIA OptiXGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080120240360480600SE +/- 0.04, N = 3SE +/- 1.38, N = 3SE +/- 1.47, N = 3SE +/- 0.33, N = 3SE +/- 0.30, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.34, N = 3SE +/- 0.76, N = 3SE +/- 0.07, N = 3548.35270.19281.98149.31154.25147.1690.5187.2682.6073.9182.3155.9541.29
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: NVIDIA OptiXGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080100200300400500Min: 548.31 / Avg: 548.35 / Max: 548.42Min: 268.5 / Avg: 270.19 / Max: 272.92Min: 279.38 / Avg: 281.98 / Max: 284.46Min: 148.65 / Avg: 149.31 / Max: 149.65Min: 153.66 / Avg: 154.25 / Max: 154.56Min: 147.11 / Avg: 147.16 / Max: 147.23Min: 90.41 / Avg: 90.51 / Max: 90.61Min: 87.04 / Avg: 87.26 / Max: 87.38Min: 82.43 / Avg: 82.6 / Max: 82.76Min: 73.66 / Avg: 73.91 / Max: 74.04Min: 81.67 / Avg: 82.31 / Max: 82.81Min: 54.43 / Avg: 55.95 / Max: 56.85Min: 41.17 / Avg: 41.29 / Max: 41.42

clpeak

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

OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30803K6K9K12K15KSE +/- 14.65, N = 15SE +/- 31.94, N = 12SE +/- 53.45, N = 15SE +/- 46.67, N = 15SE +/- 70.14, N = 15SE +/- 81.80, N = 15SE +/- 96.07, N = 15SE +/- 74.73, N = 12SE +/- 96.25, N = 15SE +/- 136.49, N = 15SE +/- 161.08, N = 15SE +/- 65.69, N = 14SE +/- 137.97, N = 151226.284308.234443.725248.436753.797134.168494.999509.3010455.1813253.5813266.228290.9114574.471. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGIOPS Per Watt, More Is BetterclpeakOpenCL Test: Integer Compute INTGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308030609012015019.3996.51112.27103.5499.10120.15119.43127.83152.30147.86118.27128.32116.90
OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30803K6K9K12K15KMin: 1118.33 / Avg: 1226.28 / Max: 1283.36Min: 4221.51 / Avg: 4308.23 / Max: 4614.5Min: 4237.13 / Avg: 4443.72 / Max: 4976.07Min: 5140.65 / Avg: 5248.43 / Max: 5864.87Min: 6307.99 / Avg: 6753.79 / Max: 7174.87Min: 6666.59 / Avg: 7134.16 / Max: 7626.04Min: 7754.92 / Avg: 8494.99 / Max: 9052Min: 8847.92 / Avg: 9509.3 / Max: 9853.2Min: 10016.25 / Avg: 10455.18 / Max: 10988.67Min: 11912.2 / Avg: 13253.58 / Max: 13853.38Min: 12336.95 / Avg: 13266.22 / Max: 14228.12Min: 7996.93 / Avg: 8290.91 / Max: 8844.05Min: 13122.38 / Avg: 14574.47 / Max: 15286.621. (CXX) g++ options: -O3 -rdynamic -lOpenCL

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 20200916Target: Vulkan GPU - Model: squeezenetGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080246810SE +/- 0.08, N = 3SE +/- 0.08, N = 15SE +/- 0.08, N = 3SE +/- 0.06, N = 15SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 15SE +/- 0.09, N = 15SE +/- 0.08, N = 15SE +/- 0.05, N = 15SE +/- 0.06, N = 3SE +/- 0.14, N = 127.705.356.054.755.414.584.184.294.203.875.053.964.07MIN: 6.82 / MAX: 48.71MIN: 4.46 / MAX: 45.32MIN: 4.56 / MAX: 53.55MIN: 4.19 / MAX: 44.66MIN: 4.02 / MAX: 50.12MIN: 4.01 / MAX: 44.45MIN: 3.93 / MAX: 24.5MIN: 3.78 / MAX: 44.36MIN: 3.67 / MAX: 44.19MIN: 3.51 / MAX: 45MIN: 3.57 / MAX: 45.5MIN: 3.54 / MAX: 39.83MIN: 3.22 / MAX: 44.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30803691215Min: 7.55 / Avg: 7.7 / Max: 7.82Min: 4.87 / Avg: 5.35 / Max: 5.82Min: 5.88 / Avg: 6.05 / Max: 6.15Min: 4.32 / Avg: 4.75 / Max: 5.2Min: 5.28 / Avg: 5.41 / Max: 5.48Min: 4.49 / Avg: 4.58 / Max: 4.66Min: 4.14 / Avg: 4.18 / Max: 4.23Min: 3.92 / Avg: 4.29 / Max: 4.79Min: 3.82 / Avg: 4.2 / Max: 4.83Min: 3.64 / Avg: 3.87 / Max: 4.76Min: 4.78 / Avg: 5.05 / Max: 5.33Min: 3.86 / Avg: 3.96 / Max: 4.07Min: 3.51 / Avg: 4.07 / Max: 4.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30803691215SE +/- 0.13, N = 3SE +/- 0.08, N = 15SE +/- 0.17, N = 3SE +/- 0.08, N = 15SE +/- 0.14, N = 3SE +/- 0.15, N = 3SE +/- 0.16, N = 3SE +/- 0.05, N = 15SE +/- 0.07, N = 15SE +/- 0.05, N = 15SE +/- 0.06, N = 15SE +/- 0.05, N = 3SE +/- 0.05, N = 129.878.589.307.848.547.277.197.027.076.537.476.566.50MIN: 8.6 / MAX: 40.07MIN: 7.66 / MAX: 46.65MIN: 7.65 / MAX: 39.63MIN: 6.94 / MAX: 43.56MIN: 6.69 / MAX: 41.56MIN: 6.66 / MAX: 39.39MIN: 6.45 / MAX: 39.21MIN: 6.22 / MAX: 40.65MIN: 6.15 / MAX: 40.21MIN: 5.8 / MAX: 39.76MIN: 5.76 / MAX: 49.68MIN: 5.89 / MAX: 39.85MIN: 5.43 / MAX: 43.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30803691215Min: 9.74 / Avg: 9.87 / Max: 10.13Min: 8.13 / Avg: 8.58 / Max: 9.16Min: 9.07 / Avg: 9.3 / Max: 9.63Min: 7.49 / Avg: 7.84 / Max: 8.43Min: 8.27 / Avg: 8.54 / Max: 8.74Min: 7.07 / Avg: 7.27 / Max: 7.57Min: 6.99 / Avg: 7.19 / Max: 7.52Min: 6.79 / Avg: 7.02 / Max: 7.4Min: 6.72 / Avg: 7.07 / Max: 7.61Min: 6.29 / Avg: 6.53 / Max: 6.84Min: 7.22 / Avg: 7.47 / Max: 7.98Min: 6.46 / Avg: 6.56 / Max: 6.62Min: 6.31 / Avg: 6.5 / Max: 6.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile uses ViennaCL OpenCL support and runs the included computational benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterViennaCL 1.4.2OpenCL LU FactorizationGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308020406080100SE +/- 0.50, N = 11SE +/- 0.28, N = 11SE +/- 0.22, N = 11SE +/- 0.34, N = 11SE +/- 0.29, N = 11SE +/- 0.23, N = 11SE +/- 0.35, N = 11SE +/- 0.44, N = 11SE +/- 0.39, N = 12SE +/- 0.46, N = 12SE +/- 0.60, N = 11SE +/- 0.23, N = 12SE +/- 0.35, N = 1561.7368.7168.6172.8372.3375.0975.7476.1377.1178.6176.2775.8377.951. (CXX) g++ options: -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterViennaCL 1.4.2OpenCL LU FactorizationGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30800.52651.0531.57952.1062.63251.582.142.342.031.782.311.771.711.741.851.131.941.20
OpenBenchmarking.orgGFLOPS, More Is BetterViennaCL 1.4.2OpenCL LU FactorizationGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30801530456075Min: 57.7 / Avg: 61.73 / Max: 63.79Min: 67.29 / Avg: 68.71 / Max: 70.02Min: 67.25 / Avg: 68.61 / Max: 69.82Min: 70.53 / Avg: 72.83 / Max: 74.35Min: 70.68 / Avg: 72.33 / Max: 73.79Min: 73.9 / Avg: 75.09 / Max: 76.24Min: 73.76 / Avg: 75.74 / Max: 78.22Min: 73.77 / Avg: 76.13 / Max: 79.25Min: 74.59 / Avg: 77.11 / Max: 79.47Min: 75.61 / Avg: 78.61 / Max: 81.21Min: 71.15 / Avg: 76.27 / Max: 78.47Min: 74.5 / Avg: 75.83 / Max: 77.29Min: 73.65 / Avg: 77.95 / Max: 79.581. (CXX) g++ options: -rdynamic -lOpenCL

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 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30800.55581.11161.66742.22322.779SE +/- 0.13, N = 3SE +/- 0.05, N = 15SE +/- 0.13, N = 3SE +/- 0.06, N = 15SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 15SE +/- 0.05, N = 15SE +/- 0.04, N = 15SE +/- 0.07, N = 15SE +/- 0.01, N = 3SE +/- 0.07, N = 122.471.822.101.811.891.641.711.751.761.642.111.761.98MIN: 2.28 / MAX: 17.9MIN: 1.63 / MAX: 22.45MIN: 1.66 / MAX: 16.77MIN: 1.61 / MAX: 18.64MIN: 1.58 / MAX: 9.02MIN: 1.61 / MAX: 2.65MIN: 1.55 / MAX: 19.3MIN: 1.57 / MAX: 17.89MIN: 1.52 / MAX: 21.3MIN: 1.53 / MAX: 18.23MIN: 1.55 / MAX: 19.9MIN: 1.73 / MAX: 3.1MIN: 1.65 / MAX: 17.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080246810Min: 2.31 / Avg: 2.47 / Max: 2.73Min: 1.66 / Avg: 1.82 / Max: 2.19Min: 1.89 / Avg: 2.1 / Max: 2.34Min: 1.65 / Avg: 1.81 / Max: 2.42Min: 1.85 / Avg: 1.89 / Max: 1.97Min: 1.63 / Avg: 1.64 / Max: 1.65Min: 1.57 / Avg: 1.71 / Max: 1.94Min: 1.62 / Avg: 1.75 / Max: 2.22Min: 1.54 / Avg: 1.76 / Max: 2.05Min: 1.57 / Avg: 1.64 / Max: 2.11Min: 1.85 / Avg: 2.11 / Max: 2.66Min: 1.75 / Avg: 1.76 / Max: 1.77Min: 1.78 / Avg: 1.98 / Max: 2.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

LuxCoreRender OpenCL

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender OpenCL 2.3Scene: Rainbow Colors and PrismGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30800.03380.06760.10140.13520.1690.080.070.070.080.090.100.090.080.080.080.070.150.11

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: Rainbow Colors and PrismGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080510152025SE +/- 0.1074070, N = 12SE +/- 0.0320724, N = 3SE +/- 0.0048958, N = 3SE +/- 0.0353073, N = 3SE +/- 0.0319774, N = 4SE +/- 0.0543537, N = 4SE +/- 0.2639327, N = 12SE +/- 0.1793871, N = 12SE +/- 0.0522772, N = 3SE +/- 0.0331742, N = 4SE +/- 0.0783102, N = 4SE +/- 0.5108456, N = 15SE +/- 0.4586334, N = 155.34000005.54000004.76416677.830000010.450000010.98000009.86000008.95000009.030000012.080000012.130000016.840000020.8200000MIN: 1.87 / MAX: 5.68MIN: 4.4 / MAX: 5.82MIN: 3.69 / MAX: 4.95MIN: 6.32 / MAX: 8.15MIN: 9.04 / MAX: 11.03MIN: 9.77 / MAX: 11.57MIN: 3.83 / MAX: 10.58MIN: 4.35 / MAX: 9.64MIN: 6.18 / MAX: 9.55MIN: 9.2 / MAX: 12.83MIN: 11.08 / MAX: 12.83MIN: 6.81 / MAX: 18.28MIN: 11.17 / MAX: 22.47
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender OpenCL 2.3Scene: Rainbow Colors and PrismGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30800.03380.06760.10140.13520.1690.080.070.070.080.090.100.090.080.080.080.070.150.11
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: Rainbow Colors and PrismGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080510152025Min: 4.16 / Avg: 5.34 / Max: 5.47Min: 5.49 / Avg: 5.54 / Max: 5.6Min: 4.75 / Avg: 4.76 / Max: 4.77Min: 7.76 / Avg: 7.83 / Max: 7.89Min: 10.37 / Avg: 10.45 / Max: 10.52Min: 10.87 / Avg: 10.98 / Max: 11.13Min: 6.97 / Avg: 9.86 / Max: 10.24Min: 6.99 / Avg: 8.95 / Max: 9.23Min: 8.93 / Avg: 9.03 / Max: 9.09Min: 12.02 / Avg: 12.08 / Max: 12.17Min: 11.96 / Avg: 12.13 / Max: 12.34Min: 9.81 / Avg: 16.84 / Max: 17.67Min: 14.48 / Avg: 20.82 / Max: 21.7

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: FoodGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30800.79651.5932.38953.1863.9825SE +/- 0.01, N = 12SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 12SE +/- 0.03, N = 12SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 12SE +/- 0.06, N = 120.631.050.991.171.171.271.781.791.882.111.992.803.54MIN: 0.14 / MAX: 0.76MIN: 0.21 / MAX: 1.25MIN: 0.22 / MAX: 1.17MIN: 0.22 / MAX: 1.39MIN: 0.21 / MAX: 1.44MIN: 0.23 / MAX: 1.52MIN: 0.13 / MAX: 2.23MIN: 0.17 / MAX: 2.23MIN: 0.21 / MAX: 2.32MIN: 0.24 / MAX: 2.63MIN: 0.21 / MAX: 2.46MIN: 0.19 / MAX: 3.53MIN: 0.17 / MAX: 4.48
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender OpenCL 2.3Scene: FoodGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30800.00450.0090.01350.0180.02250.010.010.010.010.010.010.010.010.010.010.010.020.02
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: FoodGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080246810Min: 0.48 / Avg: 0.63 / Max: 0.65Min: 1.04 / Avg: 1.05 / Max: 1.07Min: 0.97 / Avg: 0.99 / Max: 1.01Min: 1.15 / Avg: 1.17 / Max: 1.18Min: 1.15 / Avg: 1.17 / Max: 1.19Min: 1.27 / Avg: 1.27 / Max: 1.28Min: 1.33 / Avg: 1.78 / Max: 1.84Min: 1.46 / Avg: 1.79 / Max: 1.84Min: 1.85 / Avg: 1.88 / Max: 1.9Min: 2.1 / Avg: 2.11 / Max: 2.13Min: 1.97 / Avg: 1.99 / Max: 2Min: 2.13 / Avg: 2.8 / Max: 2.91Min: 2.86 / Avg: 3.54 / Max: 3.66

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 20200916Target: Vulkan GPU - Model: blazefaceGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30800.18230.36460.54690.72920.9115SE +/- 0.13, N = 3SE +/- 0.04, N = 15SE +/- 0.00, N = 3SE +/- 0.04, N = 15SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 15SE +/- 0.03, N = 15SE +/- 0.05, N = 15SE +/- 0.06, N = 15SE +/- 0.02, N = 3SE +/- 0.02, N = 120.800.640.720.670.720.580.630.610.630.680.810.630.64MIN: 0.63 / MAX: 19.93MIN: 0.56 / MAX: 26.92MIN: 0.57 / MAX: 6.28MIN: 0.56 / MAX: 23.74MIN: 0.55 / MAX: 7.89MIN: 0.57 / MAX: 0.84MIN: 0.56 / MAX: 20.82MIN: 0.54 / MAX: 21.62MIN: 0.54 / MAX: 27.09MIN: 0.52 / MAX: 27.01MIN: 0.51 / MAX: 27.19MIN: 0.57 / MAX: 9MIN: 0.51 / MAX: 30.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080246810Min: 0.66 / Avg: 0.8 / Max: 1.06Min: 0.58 / Avg: 0.64 / Max: 1.15Min: 0.71 / Avg: 0.72 / Max: 0.72Min: 0.58 / Avg: 0.67 / Max: 1.26Min: 0.69 / Avg: 0.72 / Max: 0.75Min: 0.57 / Avg: 0.58 / Max: 0.59Min: 0.59 / Avg: 0.63 / Max: 0.71Min: 0.57 / Avg: 0.61 / Max: 0.78Min: 0.55 / Avg: 0.63 / Max: 0.94Min: 0.54 / Avg: 0.68 / Max: 1.13Min: 0.66 / Avg: 0.81 / Max: 1.44Min: 0.6 / Avg: 0.63 / Max: 0.68Min: 0.58 / Avg: 0.64 / Max: 0.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30801.19482.38963.58444.77925.974SE +/- 0.10, N = 3SE +/- 0.07, N = 15SE +/- 0.15, N = 3SE +/- 0.06, N = 15SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 15SE +/- 0.04, N = 15SE +/- 0.06, N = 15SE +/- 0.07, N = 15SE +/- 0.01, N = 3SE +/- 0.09, N = 125.313.934.333.574.163.433.233.293.123.103.733.443.88MIN: 4.95 / MAX: 24.26MIN: 3.5 / MAX: 21.95MIN: 3.53 / MAX: 24.2MIN: 3.3 / MAX: 22.32MIN: 3.15 / MAX: 21.29MIN: 3.19 / MAX: 21.25MIN: 3.02 / MAX: 18.59MIN: 3.03 / MAX: 22.52MIN: 2.89 / MAX: 20.85MIN: 2.84 / MAX: 21.01MIN: 2.87 / MAX: 23.31MIN: 3.41 / MAX: 3.96MIN: 3.16 / MAX: 22.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080246810Min: 5.21 / Avg: 5.31 / Max: 5.5Min: 3.57 / Avg: 3.93 / Max: 4.42Min: 4.03 / Avg: 4.33 / Max: 4.53Min: 3.34 / Avg: 3.57 / Max: 4.07Min: 4.05 / Avg: 4.16 / Max: 4.27Min: 3.21 / Avg: 3.43 / Max: 3.56Min: 3.05 / Avg: 3.23 / Max: 3.44Min: 3.05 / Avg: 3.29 / Max: 3.57Min: 2.94 / Avg: 3.12 / Max: 3.42Min: 2.89 / Avg: 3.1 / Max: 3.58Min: 3.35 / Avg: 3.73 / Max: 4.2Min: 3.43 / Avg: 3.44 / Max: 3.45Min: 3.47 / Avg: 3.88 / Max: 4.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30800.47480.94961.42441.89922.374SE +/- 0.09, N = 3SE +/- 0.04, N = 15SE +/- 0.16, N = 3SE +/- 0.06, N = 15SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 15SE +/- 0.03, N = 15SE +/- 0.06, N = 15SE +/- 0.07, N = 15SE +/- 0.12, N = 3SE +/- 0.06, N = 122.111.531.841.561.721.541.381.461.371.511.751.741.73MIN: 1.91 / MAX: 19.43MIN: 1.42 / MAX: 21.24MIN: 1.44 / MAX: 19.14MIN: 1.39 / MAX: 19.37MIN: 1.36 / MAX: 15.12MIN: 1.38 / MAX: 17.92MIN: 1.31 / MAX: 5.51MIN: 1.33 / MAX: 17.85MIN: 1.28 / MAX: 18.03MIN: 1.29 / MAX: 18.36MIN: 1.3 / MAX: 20.67MIN: 1.5 / MAX: 17.99MIN: 1.4 / MAX: 22.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080246810Min: 1.96 / Avg: 2.11 / Max: 2.28Min: 1.44 / Avg: 1.53 / Max: 1.9Min: 1.67 / Avg: 1.84 / Max: 2.17Min: 1.41 / Avg: 1.56 / Max: 2.22Min: 1.62 / Avg: 1.72 / Max: 1.86Min: 1.39 / Avg: 1.54 / Max: 1.85Min: 1.35 / Avg: 1.38 / Max: 1.4Min: 1.38 / Avg: 1.46 / Max: 1.72Min: 1.31 / Avg: 1.37 / Max: 1.72Min: 1.32 / Avg: 1.51 / Max: 2.04Min: 1.55 / Avg: 1.75 / Max: 2.37Min: 1.62 / Avg: 1.74 / Max: 1.97Min: 1.52 / Avg: 1.73 / Max: 21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080246810SE +/- 0.15, N = 3SE +/- 0.04, N = 15SE +/- 0.07, N = 3SE +/- 0.06, N = 15SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.24, N = 3SE +/- 0.07, N = 15SE +/- 0.07, N = 14SE +/- 0.08, N = 15SE +/- 0.08, N = 15SE +/- 0.09, N = 3SE +/- 0.07, N = 127.625.256.034.434.653.933.843.723.523.303.883.723.51MIN: 7.05 / MAX: 23.24MIN: 4.76 / MAX: 22.66MIN: 4.75 / MAX: 21.46MIN: 4.07 / MAX: 22.33MIN: 3.72 / MAX: 21.74MIN: 3.73 / MAX: 21.52MIN: 3.47 / MAX: 18.13MIN: 3.38 / MAX: 22.49MIN: 3.25 / MAX: 21.15MIN: 2.94 / MAX: 22.59MIN: 2.96 / MAX: 22.65MIN: 3.41 / MAX: 21.31MIN: 2.98 / MAX: 20.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30803691215Min: 7.44 / Avg: 7.62 / Max: 7.91Min: 4.9 / Avg: 5.25 / Max: 5.54Min: 5.89 / Avg: 6.03 / Max: 6.1Min: 4.18 / Avg: 4.43 / Max: 4.99Min: 4.6 / Avg: 4.65 / Max: 4.72Min: 3.86 / Avg: 3.93 / Max: 4.08Min: 3.56 / Avg: 3.84 / Max: 4.31Min: 3.41 / Avg: 3.72 / Max: 4.39Min: 3.32 / Avg: 3.52 / Max: 4.3Min: 2.96 / Avg: 3.3 / Max: 3.88Min: 3.37 / Avg: 3.88 / Max: 4.28Min: 3.54 / Avg: 3.72 / Max: 3.81Min: 3.28 / Avg: 3.51 / Max: 4.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: NVIDIA OptiXGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30804080120160200SE +/- 3.22, N = 12SE +/- 0.04, N = 3SE +/- 2.63, N = 15SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 2.52, N = 15SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 2.61, N = 15170.1578.2683.0937.3533.8731.9626.4129.5326.3919.8321.2618.0614.96
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: NVIDIA OptiXGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080306090120150Min: 166.72 / Avg: 170.15 / Max: 205.6Min: 78.2 / Avg: 78.26 / Max: 78.34Min: 80.26 / Avg: 83.09 / Max: 119.93Min: 37.34 / Avg: 37.35 / Max: 37.37Min: 33.8 / Avg: 33.87 / Max: 33.99Min: 31.94 / Avg: 31.96 / Max: 31.98Min: 26.4 / Avg: 26.41 / Max: 26.41Min: 26.98 / Avg: 29.53 / Max: 64.75Min: 26.36 / Avg: 26.39 / Max: 26.42Min: 19.8 / Avg: 19.83 / Max: 19.87Min: 21.18 / Avg: 21.26 / Max: 21.36Min: 18.03 / Avg: 18.06 / Max: 18.1Min: 12.27 / Avg: 14.96 / Max: 51.52

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 20200916Target: Vulkan GPU - Model: shufflenet-v2GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30800.40050.8011.20151.6022.0025SE +/- 0.10, N = 3SE +/- 0.03, N = 15SE +/- 0.03, N = 3SE +/- 0.04, N = 15SE +/- 0.22, N = 3SE +/- 0.01, N = 3SE +/- 0.14, N = 3SE +/- 0.05, N = 15SE +/- 0.06, N = 15SE +/- 0.06, N = 15SE +/- 0.07, N = 15SE +/- 0.04, N = 3SE +/- 0.06, N = 121.781.331.561.371.631.261.361.371.321.341.621.361.54MIN: 1.51 / MAX: 11.8MIN: 1.24 / MAX: 18.01MIN: 1.26 / MAX: 21.01MIN: 1.23 / MAX: 22.22MIN: 1.21 / MAX: 20.82MIN: 1.24 / MAX: 1.92MIN: 1.2 / MAX: 17.51MIN: 1.21 / MAX: 18.01MIN: 1.16 / MAX: 20.88MIN: 1.18 / MAX: 20.07MIN: 1.19 / MAX: 20.26MIN: 1.29 / MAX: 15.72MIN: 1.25 / MAX: 19.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2GTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 3080246810Min: 1.59 / Avg: 1.78 / Max: 1.93Min: 1.28 / Avg: 1.33 / Max: 1.74Min: 1.51 / Avg: 1.56 / Max: 1.61Min: 1.26 / Avg: 1.37 / Max: 1.7Min: 1.41 / Avg: 1.63 / Max: 2.06Min: 1.25 / Avg: 1.26 / Max: 1.27Min: 1.21 / Avg: 1.36 / Max: 1.63Min: 1.23 / Avg: 1.37 / Max: 2.02Min: 1.19 / Avg: 1.32 / Max: 1.99Min: 1.2 / Avg: 1.34 / Max: 2.16Min: 1.41 / Avg: 1.62 / Max: 2.12Min: 1.31 / Avg: 1.36 / Max: 1.44Min: 1.31 / Avg: 1.54 / Max: 1.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet