NVIDIA Compute Comparison

Benchmarks for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2011309-HA-NVIDIACOM49
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BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
CPU Massive 4 Tests
Creator Workloads 2 Tests
HPC - High Performance Computing 3 Tests
Machine Learning 2 Tests
Multi-Core 3 Tests
NVIDIA GPU Compute 12 Tests
OpenCL 2 Tests
Renderers 2 Tests
Server CPU Tests 2 Tests
Vulkan Compute 3 Tests

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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
GTX 1060
November 24 2020
  4 Hours, 48 Minutes
GTX 1660 SUPER
November 25 2020
  4 Hours, 47 Minutes
GTX 1660 Ti
November 23 2020
  5 Hours, 15 Minutes
RTX 2060
November 23 2020
  3 Hours, 21 Minutes
RTX 2060 SUPER
November 24 2020
  3 Hours, 22 Minutes
RTX 2070
November 22 2020
  3 Hours, 15 Minutes
RTX 2070 SUPER
November 22 2020
  2 Hours, 58 Minutes
RTX 2080
November 21 2020
  3 Hours, 3 Minutes
RTX 2080 SUPER
November 22 2020
  2 Hours, 21 Minutes
RTX 2080 Ti
November 23 2020
  2 Hours, 16 Minutes
TITAN RTX
November 24 2020
  2 Hours, 28 Minutes
RTX 3060 Ti
November 25 2020
  2 Hours, 30 Minutes
RTX 3080
November 21 2020
  2 Hours, 27 Minutes
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  3 Hours, 18 Minutes

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NVIDIA Compute ComparisonOpenBenchmarking.orgPhoronix Test Suite 10.6.1AMD 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 Comparison BenchmarksSystem 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 10.6.1OctaneBenchclpeakRedShift DemoGeekbenchLuxCoreRender OpenCLLeelaChessZeroIndigoBenchVkFFTPlaidMLRealSR-NCNNArrayFireFAHBenchWaifu2x-NCNN VulkanBlender

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 10.6.1100%151%202%253%clpeakGeekbenchPlaidMLLeelaChessZeroOctaneBenchLuxCoreRender OpenCLVkFFTIndigoBenchFAHBenchP.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 Comparisonclpeak: Single-Precision Floatoctanebench: Total Scoregeekbench: GPU NVIDIA CUDAredshift: blender: Barbershop - NVIDIA OptiXluxcorerender-cl: DLSCgeekbench: GPU OpenCLluxcorerender-cl: LuxCore Benchmarklczero: OpenCLindigobench: OpenCL GPU - Bedroomplaidml: No - Inference - IMDB LSTM - OpenCLindigobench: OpenCL GPU - Supercargeekbench: GPU Vulkanrealsr-ncnn: 4x - Yesvkfft: plaidml: No - Inference - Mobilenet - OpenCLplaidml: Yes - Inference - Mobilenet - OpenCLclpeak: Double-Precision Doublearrayfire: Conjugate Gradient OpenCLplaidml: No - Inference - DenseNet 201 - OpenCLrealsr-ncnn: 4x - Nofahbench: waifu2x-ncnn: 2x - 3 - Yesblender: Pabellon Barcelona - NVIDIA OptiXblender: Fishy Cat - NVIDIA OptiXblender: Classroom - NVIDIA OptiXclpeak: Integer Compute INTblender: BMW27 - NVIDIA OptiXluxcorerender-cl: Foodluxcorerender-cl: Rainbow Colors and PrismGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30804095.4380.907513367110641.73367981.4559253.547226.1510.28237844144.62812788778.99982.70150.155.02378.9720.128101.29029.251973.87344.25548.351226.28170.150.635.344543.04131.856678663877642593.952.60646802.2073244.662296.8215.24160351120.907184501075.071371.10170.632.67099.4917.214136.08137.060476.55165.55270.194308.2378.261.055.544448.17124.737161670038332732.322.37648711.9670514.360299.0714.30459063123.84817097985.971351.92173.673.22893.6117.733129.49737.243489.37168.18281.984443.7283.090.994.76416675480.01192.598086835354791783.163.31807122.76102495.534389.4518.2527268986.602208831282.521696.45229.292.671124.2712.936180.96955.792210.2268.22149.315248.4337.351.177.836758.49225.408822905724021877.553.96870763.26112846.865416.1521.6667575080.587249751509.021952.07245.512.198137.8112.377189.07835.553209.0563.22154.256753.7933.871.1710.457203.49242.725356996643731803.974.19938053.51127237.394447.0623.4308512574.806266001580.072008.99267.762.094148.0711.537205.49395.211198.2458.17147.167134.1631.961.2710.988537.01258.4720711104503521002.414.291058993.57143327.677498.2424.4909608263.754276821707.652297.00306.512.076148.5510.206227.76614.769135.3448.8490.518494.9926.411.789.869117.91259.162993121856342974.804.201147733.48157587.711544.7224.8259848760.095285641714.002340.01343.492.094150.949.611242.55434.582135.0245.9887.269509.3029.531.798.9510190.43265.149965128277325917.274.341242723.61179157.884587.7225.47810835954.783307201831.762480.88373.041.917159.349.031257.47674.368130.2843.5782.6010455.1826.391.889.0313338.39349.412708167858247902.945.651525834.602326910.913747.5033.19013248944.725373842405.893227.21516.531.678211.017.743300.89353.835104.8033.0973.9113253.5819.832.1112.0813604.68350.6624991558672561002.975.461511484.422108410.588718.5131.75712800345.553369332394.823284.45498.141.756208.228.009270.68054.124114.0035.1282.3113266.2221.261.9912.1316012.88378.713033136797240581.547.131324215.792284211.394686.6633.52011232152.468320651875.832439.19302.822.094177.048.633234.55984.23686.2037.2455.958290.9118.062.8016.8428088.78537.242047208331172458.519.291972677.262838916.595975.5643.58915872435.720496312995.563725.40514.401.627243.506.576306.76713.51959.1422.7341.2914574.4714.963.5420.82OpenBenchmarking.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 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30806K12K18K24K30KSE +/- 65.66, N = 15SE +/- 45.28, N = 15SE +/- 29.82, N = 12SE +/- 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 = 134095.434448.174543.045480.016758.497203.498537.019117.9110190.4313338.3913604.6816012.8828088.781. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatGTX 1060GTX 1660 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 30805K10K15K20K25KMin: 3511.37 / Avg: 4095.43 / Max: 4244.67Min: 4224.56 / Avg: 4448.17 / Max: 4813.23Min: 4369.28 / Avg: 4543.04 / Max: 4739.88Min: 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 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 3060 TiRTX 308012024036048060080.91124.74131.86192.60225.41242.73258.47259.16265.15349.41350.66378.71537.24

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 3060 TiTITAN RTXRTX 2080 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 +/- 835.34, N = 3SE +/- 1675.18, N = 15SE +/- 1291.90, N = 3SE +/- 2347.00, N = 14336716638767003835359057299664110450121856128277136797155867167858208331
OpenBenchmarking.orgScore, More Is BetterGeekbench 5Test: GPU NVIDIA CUDAGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 3060 TiTITAN RTXRTX 2080 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: 135732 / Avg: 136796.67 / Max: 138444Min: 142322 / Avg: 155866.53 / Max: 164000Min: 165474 / Avg: 167857.67 / Max: 169913Min: 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 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERTITAN RTXRTX 2080 TiRTX 3060 TiRTX 30802004006008001000SE +/- 1.20, N = 3SE +/- 1.86, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 31064833764479402373352342325256247240172
OpenBenchmarking.orgSeconds, Fewer Is BetterRedShift Demo 3.0GTX 1060GTX 1660 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERTITAN RTXRTX 2080 TiRTX 3060 TiRTX 30802004006008001000Min: 1062 / Avg: 1063.67 / Max: 1066Min: 831 / Avg: 833.33 / Max: 837Min: 764 / Avg: 764.33 / Max: 765Min: 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 TiGTX 1660 SUPERRTX 2060 SUPERRTX 2070RTX 2060TITAN RTXRTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiRTX 3060 TiRTX 30806001200180024003000SE +/- 8.92, N = 3SE +/- 0.53, N = 3SE +/- 3.65, N = 3SE +/- 1.58, N = 3SE +/- 4.43, N = 3SE +/- 1.43, N = 3SE +/- 0.49, N = 3SE +/- 0.64, N = 3SE +/- 0.11, N = 3SE +/- 1.60, N = 3SE +/- 1.52, N = 3SE +/- 0.76, N = 32732.322593.951877.551803.971783.161002.971002.41974.80917.27902.94581.54458.51
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: NVIDIA OptiXGTX 1660 TiGTX 1660 SUPERRTX 2060 SUPERRTX 2070RTX 2060TITAN RTXRTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiRTX 3060 TiRTX 30805001000150020002500Min: 2722.28 / Avg: 2732.32 / Max: 2750.12Min: 2592.89 / Avg: 2593.95 / Max: 2594.53Min: 1870.56 / Avg: 1877.55 / Max: 1882.88Min: 1801 / Avg: 1803.97 / Max: 1806.39Min: 1778.67 / Avg: 1783.16 / Max: 1792.02Min: 1000.12 / Avg: 1002.97 / Max: 1004.61Min: 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: 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 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2080RTX 2070 SUPERRTX 2080 SUPERTITAN RTXRTX 2080 TiRTX 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 +/- 0.06, N = 12SE +/- 0.08, N = 12SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.14, N = 12SE +/- 0.15, N = 121.732.372.603.313.964.194.204.294.345.465.657.139.29MIN: 0.43 / MAX: 1.81MIN: 2.26 / MAX: 2.42MIN: 2.33 / MAX: 2.67MIN: 1.83 / MAX: 3.4MIN: 3.76 / MAX: 4.1MIN: 4.09 / MAX: 4.28MIN: 1.51 / MAX: 4.4MIN: 1.19 / MAX: 4.5MIN: 3.08 / MAX: 4.47MIN: 3.9 / MAX: 5.67MIN: 5.25 / MAX: 5.77MIN: 1.94 / MAX: 7.5MIN: 3.1 / MAX: 9.73
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: DLSCGTX 1060GTX 1660 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2080RTX 2070 SUPERRTX 2080 SUPERTITAN RTXRTX 2080 TiRTX 3060 TiRTX 30803691215Min: 1.38 / Avg: 1.73 / Max: 1.77Min: 2.36 / Avg: 2.37 / Max: 2.37Min: 2.59 / Avg: 2.6 / Max: 2.6Min: 3.29 / Avg: 3.31 / Max: 3.32Min: 3.94 / Avg: 3.96 / Max: 3.97Min: 4.18 / Avg: 4.19 / Max: 4.19Min: 3.53 / Avg: 4.2 / Max: 4.28Min: 3.42 / Avg: 4.29 / Max: 4.39Min: 4.31 / Avg: 4.34 / Max: 4.37Min: 5.45 / Avg: 5.46 / Max: 5.48Min: 5.64 / Avg: 5.65 / Max: 5.67Min: 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 3060 TiTITAN RTXRTX 2080 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 +/- 1279.48, N = 3SE +/- 1711.48, N = 3SE +/- 303.84, N = 3SE +/- 733.75, N = 3367986468064871807128707693805105899114773124272132421151148152583197267
OpenBenchmarking.orgScore, More Is BetterGeekbench 5Test: GPU OpenCLGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 3060 TiTITAN RTXRTX 2080 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: 130022 / Avg: 132420.67 / Max: 134392Min: 148329 / Avg: 151148 / Max: 154239Min: 152034 / Avg: 152583.33 / Max: 153083Min: 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 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2080RTX 2070RTX 2070 SUPERRTX 2080 SUPERTITAN RTXRTX 2080 TiRTX 3060 TiRTX 3080246810SE +/- 0.03, N = 12SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 12SE +/- 0.01, N = 3SE +/- 0.06, N = 12SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 12SE +/- 0.07, N = 141.451.962.202.763.263.483.513.573.614.424.605.797.26MIN: 0.12 / MAX: 1.67MIN: 0.23 / MAX: 2.27MIN: 0.2 / MAX: 2.52MIN: 0.24 / MAX: 3.15MIN: 0.23 / MAX: 3.79MIN: 0.14 / MAX: 4.06MIN: 0.23 / MAX: 4.01MIN: 0.12 / MAX: 4.19MIN: 0.23 / MAX: 4.14MIN: 0.27 / MAX: 5.17MIN: 0.27 / MAX: 5.34MIN: 0.12 / MAX: 6.75MIN: 0.15 / MAX: 8.46
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: LuxCore BenchmarkGTX 1060GTX 1660 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2080RTX 2070RTX 2070 SUPERRTX 2080 SUPERTITAN RTXRTX 2080 TiRTX 3060 TiRTX 30803691215Min: 1.16 / Avg: 1.45 / Max: 1.49Min: 1.94 / Avg: 1.96 / Max: 2Min: 2.18 / Avg: 2.2 / Max: 2.22Min: 2.74 / Avg: 2.76 / Max: 2.78Min: 3.22 / Avg: 3.26 / Max: 3.29Min: 3.01 / Avg: 3.48 / Max: 3.55Min: 3.5 / Avg: 3.51 / Max: 3.53Min: 2.91 / Avg: 3.57 / Max: 3.69Min: 3.6 / Avg: 3.61 / Max: 3.63Min: 4.36 / Avg: 4.42 / Max: 4.52Min: 4.56 / Avg: 4.6 / Max: 4.63Min: 4.61 / Avg: 5.79 / Max: 5.99Min: 6.42 / Avg: 7.26 / Max: 7.4

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 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERTITAN RTXRTX 3060 TiRTX 2080 TiRTX 30806K12K18K24K30KSE +/- 48.50, N = 3SE +/- 72.01, N = 3SE +/- 20.08, 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 +/- 141.13, N = 3SE +/- 47.37, N = 3SE +/- 133.47, N = 3SE +/- 105.50, N = 3592570517324102491128412723143321575817915210842284223269283891. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: OpenCLGTX 1060GTX 1660 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERTITAN RTXRTX 3060 TiRTX 2080 TiRTX 30805K10K15K20K25KMin: 5841 / Avg: 5924.67 / Max: 6009Min: 6909 / Avg: 7050.67 / Max: 7144Min: 7297 / Avg: 7323.67 / Max: 7363Min: 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: 20894 / Avg: 21084.33 / Max: 21360Min: 22758 / Avg: 22841.67 / Max: 22922Min: 23075 / Avg: 23269.33 / Max: 23525Min: 28179 / Avg: 28388.67 / Max: 285141. (CXX) g++ options: -flto -pthread

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 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERTITAN RTXRTX 2080 TiRTX 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 +/- 0.009, N = 3SE +/- 0.014, N = 3SE +/- 0.002, N = 3SE +/- 0.024, N = 33.5474.3604.6625.5346.8657.3947.6777.7117.88410.58810.91311.39416.595
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: BedroomGTX 1060GTX 1660 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERTITAN RTXRTX 2080 TiRTX 3060 TiRTX 308048121620Min: 3.54 / Avg: 3.55 / Max: 3.55Min: 4.36 / Avg: 4.36 / Max: 4.36Min: 4.66 / Avg: 4.66 / Max: 4.67Min: 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: 10.58 / Avg: 10.59 / Max: 10.61Min: 10.9 / Avg: 10.91 / Max: 10.94Min: 11.39 / Avg: 11.39 / Max: 11.4Min: 16.55 / Avg: 16.6 / Max: 16.63

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 3060 TiTITAN RTXRTX 2080 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 +/- 0.90, N = 6SE +/- 1.90, N = 6SE +/- 0.56, N = 6SE +/- 2.17, N = 6226.15296.82299.07389.45416.15447.06498.24544.72587.72686.66718.51747.50975.56
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 3060 TiTITAN RTXRTX 2080 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: 684.22 / Avg: 686.66 / Max: 690.33Min: 713.74 / Avg: 718.51 / Max: 725.6Min: 745.18 / Avg: 747.5 / Max: 748.78Min: 966.08 / Avg: 975.56 / Max: 978.91

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 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERTITAN RTXRTX 2080 TiRTX 3060 TiRTX 30801020304050SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, 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 +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.23, N = 310.2814.3015.2418.2521.6723.4324.4924.8325.4831.7633.1933.5243.59
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: SupercarGTX 1060GTX 1660 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERTITAN RTXRTX 2080 TiRTX 3060 TiRTX 3080918273645Min: 10.27 / Avg: 10.28 / Max: 10.3Min: 14.3 / Avg: 14.3 / Max: 14.32Min: 15.19 / Avg: 15.24 / Max: 15.3Min: 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: 31.53 / Avg: 31.76 / Max: 32Min: 32.94 / Avg: 33.19 / Max: 33.32Min: 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 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 3060 TiTITAN RTXRTX 2080 TiRTX 308030K60K90K120K150KSE +/- 331.69, N = 3SE +/- 734.49, N = 3SE +/- 423.81, 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 +/- 923.31, N = 15SE +/- 1193.73, N = 15SE +/- 1281.91, N = 15SE +/- 1286.56, N = 153784459063603517268975750851259608298487108359112321128003132489158724
OpenBenchmarking.orgScore, More Is BetterGeekbench 5Test: GPU VulkanGTX 1060GTX 1660 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 3060 TiTITAN RTXRTX 2080 TiRTX 308030K60K90K120K150KMin: 37212 / Avg: 37843.67 / Max: 38335Min: 57969 / Avg: 59063 / Max: 60459Min: 59611 / Avg: 60350.67 / Max: 61079Min: 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: 103150 / Avg: 112321.27 / Max: 116414Min: 118188 / Avg: 128003.33 / Max: 134916Min: 125372 / Avg: 132488.67 / Max: 139306Min: 150277 / Avg: 158724.13 / Max: 167398

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 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 3060 TiTITAN RTXRTX 2080 TiRTX 3080306090120150SE +/- 0.24, N = 3SE +/- 0.17, N = 3SE +/- 0.11, 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 +/- 0.07, N = 3SE +/- 0.18, N = 3SE +/- 0.16, N = 3SE +/- 0.17, N = 3144.63123.85120.9186.6080.5974.8163.7560.1054.7852.4745.5544.7335.72
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesGTX 1060GTX 1660 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 3060 TiTITAN RTXRTX 2080 TiRTX 3080306090120150Min: 144.16 / Avg: 144.63 / Max: 144.98Min: 123.54 / Avg: 123.85 / Max: 124.14Min: 120.69 / Avg: 120.91 / Max: 121.05Min: 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: 52.34 / Avg: 52.47 / Max: 52.57Min: 45.2 / Avg: 45.55 / Max: 45.8Min: 44.42 / Avg: 44.72 / Max: 44.95Min: 35.53 / Avg: 35.72 / Max: 36.07

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 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 3060 TiTITAN RTXRTX 2080 TiRTX 308011K22K33K44K55KSE +/- 4.67, N = 3SE +/- 14.84, N = 3SE +/- 34.18, 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 +/- 25.15, N = 3SE +/- 118.84, N = 3SE +/- 82.79, N = 3SE +/- 166.79, N = 312788170971845020883249752660027682285643072032065369333738449631
OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-29GTX 1060GTX 1660 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 3060 TiTITAN RTXRTX 2080 TiRTX 30809K18K27K36K45KMin: 12781 / Avg: 12788.33 / Max: 12797Min: 17073 / Avg: 17096.67 / Max: 17124Min: 18410 / Avg: 18450 / Max: 18518Min: 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: 32028 / Avg: 32065 / Max: 32113Min: 36721 / Avg: 36933.33 / Max: 37132Min: 37219 / Avg: 37383.67 / Max: 37481Min: 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 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 3060 TiTITAN RTXRTX 2080 TiRTX 30806001200180024003000SE +/- 1.55, N = 7SE +/- 1.27, N = 8SE +/- 3.18, N = 7SE +/- 3.21, N = 8SE +/- 3.27, N = 8SE +/- 2.41, N = 9SE +/- 6.37, N = 9SE +/- 3.83, N = 8SE +/- 3.49, N = 8SE +/- 2.49, N = 8SE +/- 5.99, N = 9SE +/- 8.40, N = 9SE +/- 9.67, N = 9778.99985.971075.071282.521509.021580.071707.651714.001831.761875.832394.822405.892995.56
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1060GTX 1660 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 3060 TiTITAN RTXRTX 2080 TiRTX 30805001000150020002500Min: 773.27 / Avg: 778.99 / Max: 784.56Min: 980.87 / Avg: 985.97 / Max: 991.2Min: 1064.92 / Avg: 1075.07 / Max: 1087.55Min: 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: 1866.17 / Avg: 1875.83 / Max: 1883.4Min: 2357.84 / Avg: 2394.82 / Max: 2416Min: 2357.86 / Avg: 2405.89 / Max: 2436.76Min: 2946.08 / Avg: 2995.56 / Max: 3029.89

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1060GTX 1660 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 3060 TiRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 30808001600240032004000SE +/- 1.08, N = 7SE +/- 1.98, N = 8SE +/- 4.66, N = 7SE +/- 20.43, N = 15SE +/- 9.97, N = 8SE +/- 3.85, N = 8SE +/- 11.50, N = 8SE +/- 7.50, N = 8SE +/- 1.48, N = 8SE +/- 7.43, N = 8SE +/- 9.32, N = 8SE +/- 19.10, N = 8SE +/- 17.78, N = 8982.701351.921371.101696.451952.072008.992297.002340.012439.192480.883227.213284.453725.40
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1060GTX 1660 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 3060 TiRTX 2080 SUPERRTX 2080 TiTITAN RTXRTX 30806001200180024003000Min: 979.09 / Avg: 982.7 / Max: 987.95Min: 1343 / Avg: 1351.92 / Max: 1362.31Min: 1358.44 / Avg: 1371.1 / Max: 1392.94Min: 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: 2432.83 / Avg: 2439.19 / Max: 2445.04Min: 2441.65 / Avg: 2480.88 / Max: 2500.51Min: 3194.29 / Avg: 3227.21 / Max: 3278.29Min: 3213.03 / Avg: 3284.45 / Max: 3367.63Min: 3653.91 / Avg: 3725.4 / Max: 3804.12

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 3060 TiRTX 2070 SUPERRTX 2080RTX 2080 SUPERTITAN RTXRTX 3080RTX 2080 Ti110220330440550SE +/- 0.30, N = 3SE +/- 0.26, N = 3SE +/- 0.50, N = 3SE +/- 0.32, N = 3SE +/- 0.38, N = 3SE +/- 0.79, N = 3SE +/- 0.58, N = 3SE +/- 0.34, N = 3SE +/- 1.04, N = 3SE +/- 0.26, N = 3SE +/- 2.49, N = 3SE +/- 1.61, N = 3SE +/- 2.16, N = 3150.15170.63173.67229.29245.51267.76302.82306.51343.49373.04498.14514.40516.531. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleGTX 1060GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 3060 TiRTX 2070 SUPERRTX 2080RTX 2080 SUPERTITAN RTXRTX 3080RTX 2080 Ti90180270360450Min: 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: 302.1 / Avg: 302.82 / Max: 303.97Min: 305.83 / Avg: 306.51 / Max: 306.95Min: 341.5 / Avg: 343.49 / Max: 344.98Min: 372.67 / Avg: 373.04 / Max: 373.55Min: 494.65 / Avg: 498.14 / Max: 502.97Min: 511.19 / Avg: 514.4 / Max: 516.2Min: 512.55 / Avg: 516.53 / Max: 519.981. (CXX) g++ options: -O3 -rdynamic -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 TiRTX 2060GTX 1660 SUPERRTX 2060 SUPERRTX 3060 TiRTX 2080RTX 2070RTX 2070 SUPERRTX 2080 SUPERTITAN RTXRTX 2080 TiRTX 30801.13022.26043.39064.52085.651SE +/- 0.015, N = 9SE +/- 0.003, N = 10SE +/- 0.009, N = 10SE +/- 0.014, N = 10SE +/- 0.004, N = 10SE +/- 0.003, N = 10SE +/- 0.009, N = 9SE +/- 0.002, N = 10SE +/- 0.008, N = 10SE +/- 0.011, N = 10SE +/- 0.006, N = 10SE +/- 0.003, N = 10SE +/- 0.009, N = 95.0233.2282.6712.6702.1982.0942.0942.0942.0761.9171.7561.6781.6271. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient OpenCLGTX 1060GTX 1660 TiRTX 2060GTX 1660 SUPERRTX 2060 SUPERRTX 3060 TiRTX 2080RTX 2070RTX 2070 SUPERRTX 2080 SUPERTITAN RTXRTX 2080 TiRTX 3080246810Min: 5 / Avg: 5.02 / Max: 5.14Min: 3.22 / Avg: 3.23 / Max: 3.25Min: 2.65 / Avg: 2.67 / Max: 2.74Min: 2.63 / Avg: 2.67 / Max: 2.75Min: 2.18 / Avg: 2.2 / Max: 2.22Min: 2.09 / Avg: 2.09 / Max: 2.12Min: 2.07 / Avg: 2.09 / Max: 2.14Min: 2.08 / Avg: 2.09 / Max: 2.11Min: 2.06 / Avg: 2.08 / Max: 2.15Min: 1.9 / Avg: 1.92 / Max: 2Min: 1.73 / Avg: 1.76 / Max: 1.79Min: 1.66 / Avg: 1.68 / Max: 1.69Min: 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 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 3060 TiTITAN RTXRTX 2080 TiRTX 308050100150200250SE +/- 0.00, N = 3SE +/- 0.13, N = 3SE +/- 0.04, 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 +/- 0.22, N = 3SE +/- 0.27, N = 3SE +/- 0.21, N = 3SE +/- 0.38, N = 378.9793.6199.49124.27137.81148.07148.55150.94159.34177.04208.22211.01243.50
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGTX 1060GTX 1660 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 3060 TiTITAN RTXRTX 2080 TiRTX 30804080120160200Min: 78.97 / Avg: 78.97 / Max: 78.97Min: 93.37 / Avg: 93.61 / Max: 93.82Min: 99.43 / Avg: 99.49 / Max: 99.58Min: 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: 176.68 / Avg: 177.04 / Max: 177.44Min: 207.75 / Avg: 208.22 / Max: 208.69Min: 210.79 / Avg: 211.01 / Max: 211.42Min: 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 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 3060 TiTITAN RTXRTX 2080 TiRTX 3080510152025SE +/- 0.017, N = 3SE +/- 0.034, N = 3SE +/- 0.026, 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 +/- 0.025, N = 5SE +/- 0.028, N = 6SE +/- 0.011, N = 6SE +/- 0.012, N = 620.12817.73317.21412.93612.37711.53710.2069.6119.0318.6338.0097.7436.576
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoGTX 1060GTX 1660 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 3060 TiTITAN RTXRTX 2080 TiRTX 3080510152025Min: 20.1 / Avg: 20.13 / Max: 20.16Min: 17.67 / Avg: 17.73 / Max: 17.79Min: 17.18 / Avg: 17.21 / Max: 17.26Min: 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: 8.59 / Avg: 8.63 / Max: 8.73Min: 7.93 / Avg: 8.01 / Max: 8.1Min: 7.72 / Avg: 7.74 / Max: 7.79Min: 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 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060 TiRTX 2080RTX 2080 SUPERTITAN RTXRTX 2080 TiRTX 308070140210280350SE +/- 0.02, N = 3SE +/- 0.21, N = 3SE +/- 0.09, N = 3SE +/- 0.21, N = 3SE +/- 0.37, N = 3SE +/- 0.40, N = 3SE +/- 0.17, N = 3SE +/- 0.19, N = 3SE +/- 0.19, N = 3SE +/- 0.32, N = 3SE +/- 1.07, N = 3SE +/- 0.36, N = 3SE +/- 0.28, N = 3101.29129.50136.08180.97189.08205.49227.77234.56242.55257.48270.68300.89306.77
OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2GTX 1060GTX 1660 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 3060 TiRTX 2080RTX 2080 SUPERTITAN RTXRTX 2080 TiRTX 308060120180240300Min: 101.26 / Avg: 101.29 / Max: 101.31Min: 129.1 / Avg: 129.5 / Max: 129.8Min: 135.9 / Avg: 136.08 / Max: 136.2Min: 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: 234.24 / Avg: 234.56 / Max: 234.9Min: 242.21 / Avg: 242.55 / Max: 242.88Min: 257.05 / Avg: 257.48 / Max: 258.11Min: 268.58 / Avg: 270.68 / Max: 272.09Min: 300.18 / Avg: 300.89 / Max: 301.31Min: 306.27 / Avg: 306.77 / Max: 307.22

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 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 3060 TiTITAN RTXRTX 2080 TiRTX 30803691215SE +/- 0.036, N = 5SE +/- 0.030, N = 6SE +/- 0.026, 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 +/- 0.032, N = 8SE +/- 0.023, N = 8SE +/- 0.021, N = 8SE +/- 0.028, N = 99.2517.2437.0605.7925.5535.2114.7694.5824.3684.2364.1243.8353.519
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesGTX 1060GTX 1660 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 3060 TiTITAN RTXRTX 2080 TiRTX 30803691215Min: 9.18 / Avg: 9.25 / Max: 9.37Min: 7.13 / Avg: 7.24 / Max: 7.34Min: 7 / Avg: 7.06 / Max: 7.18Min: 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: 4.18 / Avg: 4.24 / Max: 4.46Min: 4.06 / Avg: 4.12 / Max: 4.27Min: 3.78 / Avg: 3.84 / Max: 3.98Min: 3.45 / Avg: 3.52 / Max: 3.73

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 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERTITAN RTXRTX 2080 TiRTX 3060 TiRTX 30802004006008001000SE +/- 0.11, N = 3SE +/- 0.18, N = 3SE +/- 0.67, 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 +/- 0.68, N = 3SE +/- 0.19, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3973.87489.37476.55210.22209.05198.24135.34135.02130.28114.00104.8086.2059.14
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXGTX 1060GTX 1660 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERTITAN RTXRTX 2080 TiRTX 3060 TiRTX 30802004006008001000Min: 973.65 / Avg: 973.87 / Max: 974.03Min: 489.11 / Avg: 489.37 / Max: 489.72Min: 475.72 / Avg: 476.55 / Max: 477.87Min: 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: 112.69 / Avg: 114 / Max: 114.95Min: 104.42 / Avg: 104.8 / Max: 105Min: 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 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 3060 TiTITAN RTXRTX 2080 TiRTX 308070140210280350SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.11, 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 +/- 0.01, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3344.25168.18165.5568.2263.2258.1748.8445.9843.5737.2435.1233.0922.73
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: NVIDIA OptiXGTX 1060GTX 1660 TiGTX 1660 SUPERRTX 2060RTX 2060 SUPER