GPU Compute

AMD Ryzen 9 3950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS) and NVIDIA GeForce GTX 1060 6GB on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2009080-FI-GPUCOMPUT34
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Result
Identifier
Performance Per
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Date
Run
  Test
  Duration
TITAN RTX
September 06 2020
  1 Hour, 24 Minutes
GTX 1070 Ti
September 06 2020
  1 Hour, 31 Minutes
GTX 970
September 06 2020
  2 Hours, 9 Minutes
GTX 1660 SUPER
September 07 2020
  1 Hour, 30 Minutes
GTX 980
September 07 2020
  1 Hour, 34 Minutes
GTX 1070
September 07 2020
  1 Hour, 26 Minutes
GTX 1080
September 07 2020
  1 Hour, 23 Minutes
GTX 980 Ti
September 07 2020
  1 Hour, 29 Minutes
RTX 2080 Ti
September 07 2020
  1 Hour, 24 Minutes
GTX 1060
September 08 2020
  1 Hour, 32 Minutes
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GPU ComputeProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 1060AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS)AMD Starship/Matisse16GB2000GB Corsair Force MP600NVIDIA TITAN RTX 24GB (420/405MHz)NVIDIA TU102 HD AudioDELL P2415QRealtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 20.045.4.0-45-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8NVIDIA 450.664.6.0OpenCL 1.2 CUDA 11.0.2281.2.133GCC 9.3.0 + CUDA 11.0ext43840x2160Zotac NVIDIA GeForce GTX 1070 Ti 8GB (1607/4006MHz)NVIDIA GP104 HD AudioeVGA NVIDIA GeForce GTX 970 4GB (1163/3505MHz)NVIDIA GM204 HD AudioeVGA NVIDIA GeForce GTX 1660 SUPER 6GB (1530/7000MHz)NVIDIA TU116 HD AudioNVIDIA GeForce GTX 980 4GB (1126/3505MHz)NVIDIA GM204 HD AudioNVIDIA GeForce GTX 1070 8GB (1506/4006MHz)NVIDIA GP104 HD AudioNVIDIA GeForce GTX 1080 8GB (1607/5005MHz)NVIDIA GeForce GTX 980 Ti 6GB (999/3505MHz)NVIDIA GM200 HD AudioNVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz)NVIDIA TU102 HD AudioNVIDIA GeForce GTX 1060 6GB (1506/4006MHz)NVIDIA GP106 HD Audio5.4.0-47-generic (x86_64)OpenBenchmarking.orgCompiler Details- --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,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013OpenCL Details- TITAN RTX: GPU Compute Cores: 4608- GTX 1070 Ti: GPU Compute Cores: 2432- GTX 970: GPU Compute Cores: 1664- GTX 1660 SUPER: GPU Compute Cores: 1408- GTX 980: GPU Compute Cores: 2048- GTX 1070: GPU Compute Cores: 1920- GTX 1080: GPU Compute Cores: 2560- GTX 980 Ti: GPU Compute Cores: 2816- RTX 2080 Ti: GPU Compute Cores: 4352- GTX 1060: GPU Compute Cores: 1280Python Details- Python 3.8.2Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

TITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 1060Result OverviewPhoronix Test Suite100%213%326%439%552%MixbenchclpeakLeelaChessZeroMandelGPUOctaneBenchPlaidMLcl-memFAHBenchLuxCoreRender OpenCLFinanceBenchArrayFireGROMACSDarktableNAMD CUDARodiniaViennaCLDarmstadt Automotive Parallel Heterogeneous Suite

GPU Computelczero: OpenCLgromacs-gpu: Water Benchmarkoctanebench: Total Scorefahbench: luxcorerender-cl: Foodluxcorerender-cl: LuxCore Benchmarkdaphne: OpenCL - Points2Imagedaphne: NVIDIA CUDA - Points2Imageluxcorerender-cl: DLSCrodinia: NVIDIA CUDA GPU Myocyteplaidml: No - Inference - DenseNet 201 - OpenCLluxcorerender-cl: Rainbow Colors and Prismrodinia: OpenCL Myocyteplaidml: No - Inference - VGG19 - OpenCLdaphne: OpenCL - NDT Mappingplaidml: No - Training - Mobilenet - OpenCLplaidml: No - Inference - VGG16 - OpenCLclpeak: Double-Precision Doubleplaidml: No - Inference - Inception V3 - OpenCLdaphne: NVIDIA CUDA - NDT Mappingarrayfire: BLAS OpenCLdaphne: NVIDIA CUDA - Euclidean Clusternamd-cuda: ATPase Simulation - 327,506 Atomsplaidml: No - Inference - IMDB LSTM - OpenCLdaphne: OpenCL - Euclidean Clustermandelgpu: GPUrodinia: OpenCL Particle Filtercl-mem: Readcl-mem: Writecl-mem: Copyplaidml: Yes - Inference - Mobilenet - OpenCLplaidml: No - Inference - Mobilenet - OpenCLfinancebench: Monte-Carlo OpenCLdarktable: Masskrug - OpenCLdarktable: Boat - OpenCLdarktable: Server Room - OpenCLclpeak: Integer Compute INTarrayfire: Conjugate Gradient OpenCLviennacl: OpenCL LU Factorizationmixbench: NVIDIA CUDA - Single Precisionclpeak: Global Memory Bandwidthmixbench: NVIDIA CUDA - Integermixbench: NVIDIA CUDA - Double Precisionmixbench: NVIDIA CUDA - Half Precisionclpeak: Single-Precision Floatmixbench: OpenCL - Single Precisiondarktable: Server Rack - OpenCLneatbench: GPUmixbench: OpenCL - Integermixbench: OpenCL - Double Precisionfinancebench: Black-Scholes OpenCLTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 1060224247.117324.546769292.15932.234.9912538.24578708129401.5140702215.9840.373227.3012.7335.767196.63343.61198.37248.79548.26355.85590.635040.581434.170.19195775.692279.14480798376.64.250567.7491.7322.72856.832544.67277.2321212.7921.4910.76713783.931.66676.641015103.61530.7914426.11413.6632084.7914178.8515032.470.10348.116979.99454.375.70199474.259141.667655137.13930.982.2413281.7676294192.5547.722108.235.3842.08192.87349.1299.64116.89242.70159.434304.761204.770.22300331.842223.78194875210.87.791206.2198.2184.11485.781070.90754.2840122.9982.7411.1662076.453.81469.18386647.94198.181887.61240.92121.426788.407018.900.1172157.31241.997.29851632.99596.20086490.84600.671.4611485.5041370451.7356.49873.894.8148.92051.14324.7073.2564.53137.4897.832457.73979.330.36071203.081928.88113624502.013.185144.6136.3125.9910.91716.82841.1885814.6104.3112.8621145.145.40060.1979144.563874.984141.790.16315.41215.75137.2014.19673664.629135.657134135.60731.092.2613933.27394816529306.1275059072.6339.905100.515.6134.12768.81320.97111.3986.61172.49135.31563.131765.011466.240.23177298.772175.96200846066.411.482296.6240.7240.21380.681080.11594.4380043.0302.6071.0824280.552.64268.15325440.74276.354866.61144.1410862.904440.235462.590.1045432.40144.3015.27162653.271110.814321102.36680.781.6311735.8414852981.9359.47482.215.1150.55356.60333.5280.4772.21159.72109.502826.161019.040.33566228.461976.41121139566.811.774165.3159.1145.01053.49810.50749.2880024.5433.7642.7301306.514.90461.9362165.294472.774683.960.16217.31389.90159.3312.10197504.052132.839354139.49740.922.1213045.8573943512.4642.955108.466.6238.00379.12345.44103.7999.88223.60151.712905.881231.440.24022314.832243.10184077179.78.205206.2199.5183.31392.461052.64697.5462912.9742.7091.1121695.794.07766.20686174.80197.201764.63225.05113.326093.026476.920.11721.52019.08224.828.968126624.634148.472009151.56790.992.1313141.7294623902.4543.197112.284.2337.998103.83348.2999.82131.34298.46190.145091.861218.560.22426398.822345.38231826397.86.457229.6225.6207.41665.721154.13921.6841522.9742.5461.0952430.553.38770.68808182.72223.142326.09296.09149.358218.628520.970.11124.62655.58296.666.98182833.857143.521432115.77530.922.0011829.8646244982.3664.75899.846.5955.17471.18339.2189.2890.74197.23138.332438.97976.750.29138267.881908.81148357386.110.071266.0245.9217.81290.481029.36660.5482493.2273.0171.3981612.523.62264.5358264.745512.895844.900.1641711.03197.449.596218397.136310.814399290.72492.234.7513045.03092394128816.8178368955.6740.352212.1112.3335.235187.92350.37187.73237.29522.22353.54606.754836.621436.620.19082753.752268.23448915216.64.414545.7449.5324.02751.852406.16319.9141272.7551.4920.75913629.371.67775.787114734.03506.9014103.79409.4631492.2413536.2516061.090.10016323.94436.816.02059333.18191.732906102.26830.651.5311766.2918261271.7842.70379.135.4138.11456.62333.4783.5271.78150.68108.562856.381253.430.30957227.232076.48130290433.812.002154.4148.1138.5987.07775.73894.0848653.1693.5171.3011275.125.00061.65304167.41147.661187.72151.6375.774110.714355.280.1241354.14150.4813.340OpenBenchmarking.org

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: OpenCLTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10605K10K15K20K25KSE +/- 20.50, N = 3SE +/- 36.50, N = 3SE +/- 54.30, N = 3SE +/- 43.89, N = 3SE +/- 85.75, N = 3SE +/- 57.21, N = 3SE +/- 28.99, N = 3SE +/- 55.16, N = 3SE +/- 28.32, N = 322424994751637366626597501266282832183959331. (CXX) g++ options: -flto -pthread

GROMACS

The CUDA version of the Gromacs molecular dynamics package. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 1060246810SE +/- 0.005, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.007, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.020, N = 2SE +/- 0.003, N = 37.1174.2592.9954.6293.2714.0524.6343.8577.1363.1811. (CXX) g++ options: -O3 -lpthread -ldl -lrt -lm

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 4.00cTotal ScoreTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 106070140210280350324.55141.6796.20135.66110.81132.84148.47143.52310.8191.73

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 2.3.2TITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 106060120180240300SE +/- 0.85, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.17, N = 3SE +/- 0.15, N = 3SE +/- 0.46, N = 3SE +/- 0.41, N = 3SE +/- 0.33, N = 3SE +/- 1.17, N = 3SE +/- 0.16, N = 3292.16137.1490.85135.61102.37139.50151.57115.78290.72102.27

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: FoodTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10600.50181.00361.50542.00722.509SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 12SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.230.980.671.090.780.920.990.922.230.65MIN: 0.25 / MAX: 2.7MIN: 0.24 / MAX: 1.14MIN: 0.12 / MAX: 0.81MIN: 0.25 / MAX: 1.26MIN: 0.23 / MAX: 0.88MIN: 0.23 / MAX: 1.06MIN: 0.24 / MAX: 1.15MIN: 0.23 / MAX: 1.06MIN: 0.32 / MAX: 2.65MIN: 0.22 / MAX: 0.74

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: LuxCore BenchmarkTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10601.12282.24563.36844.49125.614SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 12SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 34.992.241.462.261.632.122.132.004.751.53MIN: 0.32 / MAX: 5.69MIN: 0.27 / MAX: 2.52MIN: 0.12 / MAX: 1.68MIN: 0.27 / MAX: 2.54MIN: 0.27 / MAX: 1.83MIN: 0.27 / MAX: 2.4MIN: 0.27 / MAX: 2.39MIN: 0.27 / MAX: 2.27MIN: 0.32 / MAX: 5.39MIN: 0.23 / MAX: 1.72

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenCL - Kernel: Points2ImageTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10603K6K9K12K15KSE +/- 36.56, N = 3SE +/- 112.38, N = 3SE +/- 123.30, N = 3SE +/- 16.13, N = 3SE +/- 75.04, N = 3SE +/- 180.15, N = 3SE +/- 90.00, N = 3SE +/- 62.20, N = 3SE +/- 70.09, N = 3SE +/- 136.54, N = 312538.2513281.7711485.5013933.2711735.8413045.8613141.7311829.8613045.0311766.291. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: NVIDIA CUDA - Kernel: Points2ImageTITAN RTXGTX 1660 SUPERRTX 2080 Ti6K12K18K24K30KSE +/- 203.08, N = 3SE +/- 284.42, N = 3SE +/- 496.68, N = 329401.5129306.1328816.821. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

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: DLSCTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10601.34552.6914.03655.3826.7275SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 12SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 35.982.551.732.631.932.462.452.365.671.78MIN: 4.3 / MAX: 6.07MIN: 2.31 / MAX: 2.62MIN: 0.43 / MAX: 1.81MIN: 2.55 / MAX: 2.68MIN: 1.74 / MAX: 1.98MIN: 2.29 / MAX: 2.51MIN: 2.29 / MAX: 2.5MIN: 2.29 / MAX: 2.42MIN: 5.22 / MAX: 5.74MIN: 1.64 / MAX: 1.82

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: NVIDIA CUDA GPU MyocyteTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10601428425670SE +/- 0.03, N = 3SE +/- 0.22, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 340.3747.7256.5039.9159.4742.9643.2064.7640.3542.701. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl

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: OpenCLTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 106050100150200250SE +/- 0.25, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.21, N = 3SE +/- 0.02, N = 3227.30108.2373.89100.5182.21108.46112.2899.84212.1179.13

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: Rainbow Colors and PrismTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10603691215SE +/- 0.18, N = 4SE +/- 0.13, N = 12SE +/- 0.10, N = 12SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 4SE +/- 0.01, N = 312.735.384.815.615.116.624.236.5912.335.41MIN: 11.95 / MAX: 14MIN: 1.63 / MAX: 5.69MIN: 1.5 / MAX: 5.09MIN: 5.07 / MAX: 5.86MIN: 4.25 / MAX: 5.29MIN: 5.17 / MAX: 6.91MIN: 3.57 / MAX: 4.38MIN: 5.89 / MAX: 6.88MIN: 11.33 / MAX: 12.81MIN: 4.66 / MAX: 5.64

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 MyocyteTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10601224364860SE +/- 0.08, N = 3SE +/- 0.24, N = 3SE +/- 0.26, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 335.7742.0848.9234.1350.5538.0038.0055.1735.2438.111. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl

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: VGG19 - Device: OpenCLTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10604080120160200SE +/- 0.42, N = 4SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.61, N = 3SE +/- 0.13, N = 3SE +/- 0.31, N = 3SE +/- 1.20, N = 3SE +/- 0.60, N = 3SE +/- 0.16, N = 3196.6392.8751.1468.8156.6079.12103.8371.18187.9256.62

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenCL - Kernel: NDT MappingTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 106080160240320400SE +/- 1.41, N = 3SE +/- 2.01, N = 3SE +/- 0.82, N = 3SE +/- 2.54, N = 3SE +/- 0.61, N = 3SE +/- 2.24, N = 3SE +/- 1.38, N = 3SE +/- 2.08, N = 3SE +/- 0.87, N = 3SE +/- 0.67, N = 3343.61349.12324.70320.97333.52345.44348.29339.21350.37333.471. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

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: Training - Network: Mobilenet - Device: OpenCLTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10604080120160200SE +/- 0.21, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.19, N = 3SE +/- 0.06, N = 3198.3799.6473.25111.3980.47103.7999.8289.28187.7383.52

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 106050100150200250SE +/- 0.54, N = 4SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.21, N = 3SE +/- 0.18, N = 3SE +/- 0.42, N = 3SE +/- 0.87, N = 3SE +/- 0.64, N = 3SE +/- 0.22, N = 3248.79116.8964.5386.6172.2199.88131.3490.74237.2971.78

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 DoubleTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 1060120240360480600SE +/- 1.32, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.38, N = 4SE +/- 0.60, N = 3SE +/- 0.11, N = 3SE +/- 1.30, N = 3SE +/- 0.23, N = 3548.26242.70137.48172.49159.72223.60298.46197.23522.22150.681. (CXX) g++ options: -O3 -rdynamic -lOpenCL

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: Inception V3 - Device: OpenCLTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 106080160240320400SE +/- 0.19, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.62, N = 3SE +/- 0.23, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.25, N = 3SE +/- 0.19, N = 3355.85159.4397.83135.31109.50151.71190.14138.33353.54108.56

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: NVIDIA CUDA - Kernel: NDT MappingTITAN RTXGTX 1660 SUPERRTX 2080 Ti130260390520650SE +/- 5.64, N = 3SE +/- 4.39, N = 3SE +/- 2.73, N = 3590.63563.13606.751. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

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.orgGFLOPS, More Is BetterArrayFire 3.7Test: BLAS OpenCLTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 106011002200330044005500SE +/- 17.72, N = 4SE +/- 1.17, N = 4SE +/- 1.45, N = 4SE +/- 3.01, N = 4SE +/- 10.36, N = 4SE +/- 4.04, N = 4SE +/- 10.96, N = 4SE +/- 8.83, N = 4SE +/- 13.92, N = 4SE +/- 2.50, N = 45040.584304.762457.731765.012826.162905.885091.862438.974836.622856.381. (CXX) g++ options: -rdynamic

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: NVIDIA CUDA - Kernel: Euclidean ClusterTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 106030060090012001500SE +/- 2.28, N = 4SE +/- 7.67, N = 3SE +/- 2.99, N = 3SE +/- 0.96, N = 4SE +/- 1.10, N = 3SE +/- 4.73, N = 3SE +/- 2.36, N = 3SE +/- 15.93, N = 3SE +/- 0.89, N = 4SE +/- 8.38, N = 31434.171204.77979.331466.241019.041231.441218.56976.751436.621253.431. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

NAMD CUDA

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. This version of the NAMD test profile uses CUDA GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.14ATPase Simulation - 327,506 AtomsTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10600.08120.16240.24360.32480.406SE +/- 0.00134, N = 4SE +/- 0.00101, N = 4SE +/- 0.00170, N = 3SE +/- 0.00026, N = 4SE +/- 0.00291, N = 3SE +/- 0.00276, N = 4SE +/- 0.00174, N = 4SE +/- 0.00163, N = 4SE +/- 0.00046, N = 4SE +/- 0.00077, N = 30.191950.223000.360710.231770.335660.240220.224260.291380.190820.30957

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: OpenCLTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10602004006008001000SE +/- 0.80, N = 5SE +/- 0.07, N = 4SE +/- 0.11, N = 4SE +/- 0.17, N = 4SE +/- 0.41, N = 4SE +/- 0.44, N = 4SE +/- 0.35, N = 4SE +/- 0.57, N = 4SE +/- 1.41, N = 5SE +/- 0.09, N = 4775.69331.84203.08298.77228.46314.83398.82267.88753.75227.23

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenCL - Kernel: Euclidean ClusterTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10605001000150020002500SE +/- 9.59, N = 5SE +/- 0.67, N = 5SE +/- 1.83, N = 4SE +/- 3.67, N = 5SE +/- 2.91, N = 5SE +/- 7.62, N = 5SE +/- 5.86, N = 5SE +/- 5.50, N = 4SE +/- 5.93, N = 5SE +/- 3.33, N = 52279.142223.781928.882175.961976.412243.102345.381908.812268.232076.481. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

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: GPUTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 1060100M200M300M400M500MSE +/- 2829613.77, N = 10SE +/- 459096.61, N = 7SE +/- 113731.50, N = 5SE +/- 173522.04, N = 7SE +/- 4075144.18, N = 15SE +/- 327094.24, N = 7SE +/- 528438.95, N = 8SE +/- 353641.55, N = 6SE +/- 2765042.11, N = 10SE +/- 339240.54, N = 6480798376.6194875210.8113624502.0200846066.4121139566.8184077179.7231826397.8148357386.1448915216.6130290433.81. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

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 FilterTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10603691215SE +/- 0.008, N = 8SE +/- 0.006, N = 6SE +/- 0.026, N = 4SE +/- 0.009, N = 5SE +/- 0.058, N = 4SE +/- 0.019, N = 6SE +/- 0.018, N = 6SE +/- 0.092, N = 5SE +/- 0.009, N = 8SE +/- 0.012, N = 44.2507.79113.18511.48211.7748.2056.45710.0714.41412.0021. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl

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: ReadTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 1060120240360480600SE +/- 0.13, N = 9SE +/- 0.03, N = 6SE +/- 0.02, N = 4SE +/- 0.07, N = 7SE +/- 0.08, N = 5SE +/- 0.03, N = 6SE +/- 0.08, N = 6SE +/- 0.17, N = 6SE +/- 0.13, N = 8SE +/- 0.02, N = 5567.7206.2144.6296.6165.3206.2229.6266.0545.7154.41. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 1060110220330440550SE +/- 0.97, N = 9SE +/- 0.03, N = 6SE +/- 0.15, N = 4SE +/- 0.36, N = 7SE +/- 0.20, N = 5SE +/- 0.03, N = 6SE +/- 0.09, N = 6SE +/- 0.14, N = 6SE +/- 0.21, N = 8SE +/- 0.02, N = 5491.7198.2136.3240.7159.1199.5225.6245.9449.5148.11. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 106070140210280350SE +/- 0.08, N = 9SE +/- 0.03, N = 6SE +/- 0.02, N = 4SE +/- 0.05, N = 7SE +/- 0.02, N = 5SE +/- 0.02, N = 6SE +/- 0.02, N = 6SE +/- 0.07, N = 6SE +/- 0.10, N = 8SE +/- 0.02, N = 5322.7184.1125.9240.2145.0183.3207.4217.8324.0138.51. (CC) gcc options: -O2 -flto -lOpenCL

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: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10606001200180024003000SE +/- 1.27, N = 8SE +/- 0.31, N = 7SE +/- 0.24, N = 6SE +/- 0.83, N = 7SE +/- 0.78, N = 6SE +/- 3.20, N = 7SE +/- 1.79, N = 7SE +/- 2.34, N = 5SE +/- 1.82, N = 7SE +/- 2.10, N = 62856.831485.78910.911380.681053.491392.461665.721290.482751.85987.07

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10605001000150020002500SE +/- 2.36, N = 8SE +/- 0.27, N = 8SE +/- 0.28, N = 7SE +/- 1.11, N = 8SE +/- 0.69, N = 7SE +/- 1.14, N = 8SE +/- 0.60, N = 8SE +/- 0.66, N = 8SE +/- 1.58, N = 8SE +/- 0.68, N = 72544.671070.90716.821080.11810.501052.641154.131029.362406.16775.73

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: Monte-Carlo OpenCLTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10602004006008001000SE +/- 1.20, N = 8SE +/- 0.22, N = 8SE +/- 1.03, N = 7SE +/- 0.49, N = 8SE +/- 0.37, N = 8SE +/- 0.41, N = 7SE +/- 0.48, N = 7SE +/- 0.29, N = 8SE +/- 0.60, N = 8SE +/- 0.45, N = 7277.23754.28841.19594.44749.29697.55921.68660.55319.91894.081. (CXX) g++ options: -O3 -lOpenCL

Darktable

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Masskrug - Acceleration: OpenCLTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10601.03732.07463.11194.14925.1865SE +/- 0.011, N = 8SE +/- 0.016, N = 8SE +/- 0.022, N = 7SE +/- 0.011, N = 8SE +/- 0.023, N = 7SE +/- 0.008, N = 8SE +/- 0.011, N = 8SE +/- 0.012, N = 8SE +/- 0.009, N = 9SE +/- 0.009, N = 82.7922.9984.6103.0304.5432.9742.9743.2272.7553.169

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Boat - Acceleration: OpenCLTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10600.971.942.913.884.85SE +/- 0.008, N = 9SE +/- 0.012, N = 8SE +/- 0.014, N = 7SE +/- 0.010, N = 9SE +/- 0.014, N = 8SE +/- 0.009, N = 9SE +/- 0.006, N = 9SE +/- 0.013, N = 8SE +/- 0.007, N = 10SE +/- 0.012, N = 81.4912.7414.3112.6073.7642.7092.5463.0171.4923.517

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Room - Acceleration: OpenCLTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10600.6441.2881.9322.5763.22SE +/- 0.002, N = 11SE +/- 0.001, N = 10SE +/- 0.017, N = 8SE +/- 0.002, N = 10SE +/- 0.004, N = 8SE +/- 0.004, N = 10SE +/- 0.003, N = 10SE +/- 0.002, N = 10SE +/- 0.002, N = 11SE +/- 0.002, N = 100.7671.1662.8621.0822.7301.1121.0951.3980.7591.301

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 INTTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10603K6K9K12K15KSE +/- 169.21, N = 15SE +/- 0.30, N = 10SE +/- 8.78, N = 10SE +/- 6.44, N = 12SE +/- 1.81, N = 8SE +/- 6.03, N = 12SE +/- 7.00, N = 10SE +/- 8.22, N = 9SE +/- 23.37, N = 12SE +/- 10.83, N = 1513783.932076.451145.144280.551306.511695.792430.551612.5213629.371275.121. (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 OpenCLTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10601.2152.433.6454.866.075SE +/- 0.001, N = 10SE +/- 0.001, N = 10SE +/- 0.002, N = 9SE +/- 0.001, N = 10SE +/- 0.002, N = 10SE +/- 0.004, N = 10SE +/- 0.002, N = 10SE +/- 0.006, N = 10SE +/- 0.005, N = 10SE +/- 0.003, N = 101.6663.8145.4002.6424.9044.0773.3873.6221.6775.0001. (CXX) g++ options: -rdynamic

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 FactorizationTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 106020406080100SE +/- 0.57, N = 11SE +/- 0.38, N = 11SE +/- 0.20, N = 10SE +/- 0.37, N = 11SE +/- 0.29, N = 11SE +/- 0.23, N = 11SE +/- 0.21, N = 11SE +/- 0.25, N = 11SE +/- 0.39, N = 11SE +/- 0.32, N = 1176.6469.1860.2068.1561.9466.2170.6964.5475.7961.651. (CXX) g++ options: -rdynamic -lOpenCL

Mixbench

A benchmark suite for GPUs on mixed operational intensity kernels. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Single PrecisionTITAN RTXGTX 1070 TiGTX 1660 SUPERGTX 1070GTX 1080RTX 2080 TiGTX 10603K6K9K12K15KSE +/- 595.40, N = 15SE +/- 2.31, N = 11SE +/- 0.25, N = 13SE +/- 30.05, N = 15SE +/- 3.04, N = 11SE +/- 556.93, N = 15SE +/- 1.19, N = 915103.616647.945440.746174.808182.7214734.034167.411. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

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 BandwidthTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 1060110220330440550SE +/- 0.05, N = 13SE +/- 0.01, N = 11SE +/- 0.02, N = 12SE +/- 0.16, N = 12SE +/- 0.01, N = 13SE +/- 0.04, N = 11SE +/- 0.11, N = 15SE +/- 0.13, N = 15SE +/- 0.46, N = 12SE +/- 0.04, N = 10530.79198.18144.56276.35165.29197.20223.14264.74506.90147.661. (CXX) g++ options: -O3 -rdynamic -lOpenCL

Mixbench

A benchmark suite for GPUs on mixed operational intensity kernels. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: IntegerTITAN RTXGTX 1070 TiGTX 1660 SUPERGTX 1070GTX 1080RTX 2080 TiGTX 10603K6K9K12K15KSE +/- 458.60, N = 15SE +/- 0.87, N = 11SE +/- 4.94, N = 15SE +/- 3.28, N = 11SE +/- 1.56, N = 11SE +/- 264.51, N = 15SE +/- 2.01, N = 914426.111887.614866.611764.632326.0914103.791187.721. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Double PrecisionTITAN RTXGTX 1070 TiGTX 1660 SUPERGTX 1070GTX 1080RTX 2080 TiGTX 106090180270360450SE +/- 15.67, N = 15SE +/- 0.35, N = 11SE +/- 0.66, N = 15SE +/- 0.10, N = 11SE +/- 0.03, N = 11SE +/- 10.76, N = 15SE +/- 0.00, N = 9413.66240.92144.14225.05296.09409.46151.631. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Half PrecisionTITAN RTXGTX 1070 TiGTX 1660 SUPERGTX 1070GTX 1080RTX 2080 TiGTX 10607K14K21K28K35KSE +/- 939.79, N = 15SE +/- 0.07, N = 11SE +/- 15.42, N = 13SE +/- 0.02, N = 11SE +/- 0.10, N = 11SE +/- 601.15, N = 15SE +/- 0.02, N = 932084.79121.4210862.90113.32149.3531492.2475.771. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

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 FloatTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10603K6K9K12K15KSE +/- 206.22, N = 15SE +/- 3.15, N = 13SE +/- 48.39, N = 15SE +/- 43.47, N = 15SE +/- 36.45, N = 13SE +/- 112.12, N = 15SE +/- 104.59, N = 15SE +/- 62.62, N = 15SE +/- 177.79, N = 15SE +/- 76.28, N = 1514178.856788.403874.984440.234472.776093.028218.625512.8913536.254110.711. (CXX) g++ options: -O3 -rdynamic -lOpenCL

Mixbench

A benchmark suite for GPUs on mixed operational intensity kernels. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: Single PrecisionTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10603K6K9K12K15KSE +/- 619.26, N = 15SE +/- 2.95, N = 12SE +/- 0.70, N = 11SE +/- 8.38, N = 13SE +/- 23.81, N = 15SE +/- 12.17, N = 15SE +/- 11.17, N = 14SE +/- 4.87, N = 13SE +/- 66.33, N = 15SE +/- 2.22, N = 1315032.477018.904141.795462.594683.966476.928520.975844.9016061.094355.281. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

Darktable

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Rack - Acceleration: OpenCLTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10600.03690.07380.11070.14760.1845SE +/- 0.000, N = 13SE +/- 0.000, N = 13SE +/- 0.001, N = 15SE +/- 0.000, N = 13SE +/- 0.001, N = 13SE +/- 0.001, N = 15SE +/- 0.001, N = 13SE +/- 0.001, N = 15SE +/- 0.001, N = 13SE +/- 0.001, N = 130.1030.1170.1630.1040.1620.1170.1110.1640.1000.124

NeatBench

NeatBench is a benchmark of the cross-platform Neat Video software on the CPU and optional GPU (OpenCL / CUDA) support. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: GPUTITAN RTXGTX 970GTX 980GTX 1070GTX 10801122334455SE +/- 0.02, N = 13SE +/- 0.05, N = 13SE +/- 0.04, N = 13SE +/- 0.13, N = 13SE +/- 0.04, N = 1348.115.417.321.524.6

Mixbench

A benchmark suite for GPUs on mixed operational intensity kernels. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: IntegerTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10604K8K12K16K20KSE +/- 63.55, N = 15SE +/- 0.83, N = 14SE +/- 0.40, N = 13SE +/- 7.30, N = 13SE +/- 5.50, N = 15SE +/- 0.96, N = 13SE +/- 6.51, N = 15SE +/- 1.27, N = 13SE +/- 11.06, N = 14SE +/- 2.70, N = 1416979.992157.311215.755432.401389.902019.082655.581711.0316323.941354.141. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: Double PrecisionTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 1060100200300400500SE +/- 1.13, N = 14SE +/- 0.08, N = 14SE +/- 0.16, N = 13SE +/- 0.22, N = 13SE +/- 0.18, N = 13SE +/- 0.06, N = 13SE +/- 0.15, N = 14SE +/- 0.12, N = 13SE +/- 0.56, N = 15SE +/- 0.23, N = 13454.37241.99137.20144.30159.33224.82296.66197.44436.81150.481. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

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 OpenCLTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 106048121620SE +/- 0.002, N = 15SE +/- 0.003, N = 15SE +/- 0.003, N = 15SE +/- 0.001, N = 14SE +/- 0.023, N = 15SE +/- 0.209, N = 15SE +/- 0.003, N = 15SE +/- 0.156, N = 15SE +/- 0.002, N = 14SE +/- 0.317, N = 155.7017.29814.19615.27112.1018.9686.9819.5966.02013.3401. (CXX) g++ options: -O3 -lOpenCL

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10601632486480Min: 35 / Avg: 55.61 / Max: 78Min: 32 / Avg: 45.46 / Max: 58Min: 33 / Avg: 52.58 / Max: 74Min: 33 / Avg: 55.48 / Max: 68Min: 31 / Avg: 65.22 / Max: 80Min: 29 / Avg: 59.81 / Max: 78Min: 28 / Avg: 61.17 / Max: 83Min: 30 / Avg: 70.66 / Max: 85Min: 29 / Avg: 56.11 / Max: 78Min: 32 / Avg: 52.77 / Max: 69

GPU Power Consumption Monitor

OpenBenchmarking.orgWattsGPU Power Consumption MonitorPhoronix Test Suite System MonitoringTITAN RTXGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 106060120180240300Min: 24.02 / Avg: 126.58 / Max: 312.98Min: 15.21 / Avg: 95.21 / Max: 176.52Min: 10.68 / Avg: 67.65 / Max: 128.36Min: 15.1 / Avg: 102.77 / Max: 192.38Min: 6.84 / Avg: 82.21 / Max: 159.92Min: 6.47 / Avg: 92.36 / Max: 196.24Min: 15.33 / Avg: 131.28 / Max: 252.57Min: 5.74 / Avg: 124.11 / Max: 273.84Min: 6.24 / Avg: 64.43 / Max: 128.04

Meta Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per WattsTITAN RTXGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 10602004006008001000962.08223.07497.00249.04348.12406.50327.281013.20280.52