NVIDIA GPU Compute OpenCL CUDA Benchmarks

Some benchmarks by Michael Larabel tests 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 2009112-FI-ROCMGPUCO10
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results
Show Result Confidence Charts
Allow Limiting Results To Certain Suite(s)

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Disable Color Branding
Prefer Vertical Bar Graphs
No Box Plots
On Line Graphs With Missing Data, Connect The Line Gaps

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs
Condense Test Profiles With Multiple Version Results Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Toggle/Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
GTX 1060
September 08 2020
  1 Hour, 10 Minutes
GTX 1070
September 07 2020
  1 Hour, 6 Minutes
GTX 1070 Ti
September 06 2020
  1 Hour, 11 Minutes
GTX 1080
September 07 2020
  1 Hour, 4 Minutes
GTX 1650
September 09 2020
  1 Hour, 10 Minutes
GTX 1650 SUPER
September 08 2020
  1 Hour, 8 Minutes
GTX 1660
September 09 2020
  1 Hour, 5 Minutes
GTX 1660 SUPER
September 07 2020
  1 Hour, 5 Minutes
GTX 1660 Ti
September 09 2020
  1 Hour, 3 Minutes
RTX 2060
September 08 2020
  1 Hour, 3 Minutes
RTX 2060 SUPER
September 09 2020
  1 Hour, 1 Minute
RTX 2070
September 09 2020
  1 Hour, 1 Minute
RTX 2070 SUPER
September 08 2020
  59 Minutes
RTX 2080
September 08 2020
  1 Hour
RTX 2080 SUPER
September 08 2020
  59 Minutes
RTX 2080 Ti
September 07 2020
  1 Hour
TITAN RTX
September 06 2020
  1 Hour, 1 Minute
Invert Behavior (Only Show Selected Data)
  1 Hour, 4 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


NVIDIA GPU Compute OpenCL CUDA BenchmarksOpenBenchmarking.orgPhoronix Test SuiteAMD 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 GeForce GTX 1060 6GB (1506/4006MHz)NVIDIA GeForce GTX 1070 8GB (1506/4006MHz)Zotac NVIDIA GeForce GTX 1070 Ti 8GB (1607/4006MHz)NVIDIA GeForce GTX 1080 8GB (1607/5005MHz)ASUS NVIDIA GeForce GTX 1650 4GB (1485/4001MHz)ASUS NVIDIA GeForce GTX 1650 SUPER 4GB (615/405MHz)ASUS NVIDIA GeForce GTX 1660 6GB (1530/4001MHz)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 (450/405MHz)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 (420/405MHz)DELL 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 11.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionNVIDIA GPU Compute OpenCL CUDA Benchmarks 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,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: 0x8701013- GTX 1060: GPU Compute Cores: 1280- GTX 1070: GPU Compute Cores: 1920- GTX 1070 Ti: GPU Compute Cores: 2432- GTX 1080: GPU Compute Cores: 2560- GTX 1650: GPU Compute Cores: 896- GTX 1650 SUPER: GPU Compute Cores: 1280- GTX 1660: GPU Compute Cores: 1408- 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- Python 3.8.2- 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

GTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXLogarithmic Result OverviewPhoronix Test SuiteMixbenchLeelaChessZeroclpeakcl-memFinanceBenchRodiniaOctaneBenchArrayFireFAHBenchPlaidMLMandelGPULuxCoreRender OpenCLGROMACSNAMD CUDAViennaCL

NVIDIA GPU Compute OpenCL CUDA Benchmarkslczero: OpenCLgromacs-gpu: Water Benchmarkoctanebench: Total Scorefahbench: luxcorerender-cl: Foodluxcorerender-cl: LuxCore Benchmarkluxcorerender-cl: DLSCplaidml: No - Inference - DenseNet 201 - OpenCLluxcorerender-cl: Rainbow Colors and Prismclpeak: Double-Precision Doubleplaidml: No - Training - Mobilenet - OpenCLnamd-cuda: ATPase Simulation - 327,506 Atomsplaidml: No - Inference - IMDB LSTM - OpenCLrodinia: OpenCL Particle Filtercl-mem: Readcl-mem: Writecl-mem: Copyplaidml: Yes - Inference - Mobilenet - OpenCLmandelgpu: GPUplaidml: No - Inference - Mobilenet - OpenCLarrayfire: Conjugate Gradient OpenCLviennacl: OpenCL LU Factorizationclpeak: Integer Compute INTclpeak: Global Memory Bandwidthclpeak: Single-Precision Floatmixbench: NVIDIA CUDA - Single Precisionmixbench: NVIDIA CUDA - Double Precisionmixbench: NVIDIA CUDA - Integermixbench: NVIDIA CUDA - Half Precisionmixbench: OpenCL - Single Precisionneatbench: GPUmixbench: OpenCL - Integermixbench: OpenCL - Double Precisionfinancebench: Black-Scholes OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX59333.18191.732906102.26830.651.531.7879.135.41150.6883.520.30957227.2312.002154.4148.1138.5987.07130290433.8775.735.00061.65301275.12147.664110.714167.41151.631187.7275.774355.281354.14150.4813.34097504.052132.839354139.49740.922.122.46108.466.62223.60103.790.24022314.838.205206.2199.5183.31392.46184077179.71052.644.07766.20681695.79197.206093.026174.80225.051764.63113.326476.9221.52019.08224.828.96899474.259141.667655137.13930.982.242.55108.235.38242.7099.640.22300331.847.791206.2198.2184.11485.78194875210.81070.903.81469.18382076.45198.186788.406647.94240.921887.61121.427018.902157.31241.997.298126624.634148.472009151.56790.992.132.45112.284.23298.4699.820.22426398.826.457229.6225.6207.41665.72231826397.81154.133.38770.68802430.55223.148218.628182.72296.092326.09149.358520.9724.62655.58296.666.98131013.25377.41021875.81350.671.511.7359.373.93109.2065.590.34503201.2717.823108.7104.499.2814.50132266243.9573.676.80862.96072641.38105.312673.643474.1792.373108.846948.333441.3612.83466.7291.7724.14528551514.12292.36783982.05210.811.361.6173.172.73157.9877.100.26211269.1712.487167.0145.8143.81080.43186025762.6740.174.44567.93304128.39156.864123.664993.92133.884492.3210057.464943.064975.18132.7516.57778558954.412119.105265125.61580.992.202.5687.255.58168.5697.940.24290289.4211.893163.9157.3145.91199.66193795979.5858.904.54167.82004338.67158.154543.645313.33141.364753.1110568.465259.2918.65303.51141.2515.25973664.629135.657134135.60731.092.262.63100.515.61172.49111.390.23177298.7711.482296.6240.7240.21380.68200846066.41080.112.64268.15324280.55276.354440.235440.74144.144866.6110862.905462.595432.40144.3015.27177334.789133.345138.55781.072.112.5198.995.01184.34108.060.22800313.0810.847251.2223.9211.11427.43210891296.21038.863.06870.02874734.36234.914778.235888.78157.145271.3411787.375821.195803.63155.7814.385102905.416166.098571178.47121.172.793.34125.237.97232.17125.330.20635390.078.836297.4258.7239.41719.71252924048.71285.582.65973.30915356.84276.945417.557339.39196.306539.8114646.467222.2828.37275.33194.8012.555123355.789206.078943200.76641.333.544.20146.9011.32261.89154.810.20057438.267.914396.8341.3288.02012.37281931310.01585.762.08372.50106930.21368.947034.778264.66221.807348.9116507.068159.158218.02222.1510.498123115.865207.538286199.87191.303.494.17147.8710.98267.79153.030.20362444.847.767396.9328.5284.41996.60284631717.41575.652.09772.56997133.77369.307265.918435.23226.217540.2816838.728357.9635.88362.86226.6510.254147306.249221.193748221.72841.903.694.44149.6910.21308.86154.740.19625500.266.837396.8322.9292.12287.03323061985.41712.752.07174.44738484.41369.628540.739754.99260.978722.2819501.679630.839696.38259.118.263154426.536224.387211235.53411.873.554.32151.999.24345.11154.350.19265544.546.196396.5338.1290.02322.39345359936.41726.602.07574.72989141.23369.239161.1810845.36291.569732.4821764.4010812.5238.310930.56290.137.657175016.572234.066446248.01181.933.624.38159.799.14376.32158.820.19329588.045.718437.6352.9301.72432.73374422420.61815.921.90076.101610266.72405.9210264.3811685.95315.6110562.9923628.7811758.6511752.11315.036.811218397.136310.814399290.72492.234.755.67212.1112.33522.22187.730.19082753.754.414545.7449.5324.02751.85448915216.62406.161.67775.787113629.37506.9013536.2514734.03409.4614103.7931492.2416061.0916323.94436.816.020224247.117324.546769292.15932.234.995.98227.3012.73548.26198.370.19195775.694.250567.7491.7322.72856.83480798376.62544.671.66676.641013783.93530.7914178.8515103.61413.6614426.1132084.7915032.4748.116979.99454.375.701OpenBenchmarking.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 RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERGTX 1080RTX 2060 SUPERRTX 2070RTX 2060GTX 1070 TiGTX 1070GTX 1660 TiGTX 1660 SUPERGTX 1060GTX 1660GTX 1650 SUPERGTX 16505K10K15K20K25KSE +/- 20.50, N = 3SE +/- 55.16, N = 3SE +/- 79.08, N = 3SE +/- 77.45, N = 3SE +/- 28.58, N = 3SE +/- 57.21, N = 3SE +/- 61.94, N = 3SE +/- 70.73, N = 3SE +/- 64.75, N = 3SE +/- 85.75, N = 3SE +/- 56.77, N = 3SE +/- 54.30, N = 3SE +/- 28.32, N = 3SE +/- 3.38, N = 3SE +/- 19.16, N = 3SE +/- 6.17, N = 3224242183917501154421473012662123351231110290994797507733736659335895515131011. (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 BenchmarkRTX 2080 TiTITAN RTXRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1080GTX 1660 SUPERGTX 1660GTX 1070 TiGTX 1650 SUPERGTX 1070GTX 1650GTX 1060246810SE +/- 0.020, N = 2SE +/- 0.005, N = 3SE +/- 0.041, N = 3SE +/- 0.015, N = 3SE +/- 0.008, N = 3SE +/- 0.013, N = 3SE +/- 0.016, N = 3SE +/- 0.008, N = 3SE +/- 0.006, N = 3SE +/- 0.004, N = 3SE +/- 0.007, N = 3SE +/- 0.010, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.005, N = 3SE +/- 0.003, N = 37.1367.1176.5726.5366.2495.8655.7895.4164.7894.6344.6294.4124.2594.1224.0523.2533.1811. (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 RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1080GTX 1070 TiGTX 1660 SUPERGTX 1660 TiGTX 1070GTX 1660GTX 1650 SUPERGTX 1060GTX 165070140210280350324.55310.81234.07224.39221.19207.54206.08166.10148.47141.67135.66133.35132.84119.1192.3791.7377.41

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 RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2060 SUPERRTX 2070RTX 2060GTX 1080GTX 1070GTX 1660 TiGTX 1070 TiGTX 1660 SUPERGTX 1660GTX 1060GTX 1650 SUPERGTX 165060120180240300SE +/- 0.85, N = 3SE +/- 1.17, N = 3SE +/- 0.82, N = 3SE +/- 0.92, N = 3SE +/- 1.06, N = 3SE +/- 0.32, N = 3SE +/- 0.34, N = 3SE +/- 0.54, N = 3SE +/- 0.41, N = 3SE +/- 0.46, N = 3SE +/- 0.42, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 0.16, N = 3SE +/- 0.21, N = 3SE +/- 0.05, N = 3292.16290.72248.01235.53221.73200.77199.87178.47151.57139.50138.56137.14135.61125.62102.2782.0575.81

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 RTXRTX 2080 TiRTX 2080 SUPERRTX 2070 SUPERRTX 2080RTX 2060 SUPERRTX 2070RTX 2060GTX 1660 SUPERGTX 1660 TiGTX 1660GTX 1080GTX 1070 TiGTX 1070GTX 1650 SUPERGTX 1650GTX 10600.50181.00361.50542.00722.509SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 4SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 4SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.232.231.931.901.871.331.301.171.091.070.990.990.980.920.810.670.65MIN: 0.25 / MAX: 2.7MIN: 0.32 / MAX: 2.65MIN: 0.29 / MAX: 2.33MIN: 0.28 / MAX: 2.24MIN: 0.25 / MAX: 2.25MIN: 0.29 / MAX: 1.53MIN: 0.29 / MAX: 1.49MIN: 0.26 / MAX: 1.39MIN: 0.25 / MAX: 1.26MIN: 0.25 / MAX: 1.23MIN: 0.24 / MAX: 1.16MIN: 0.24 / MAX: 1.15MIN: 0.24 / MAX: 1.14MIN: 0.23 / MAX: 1.06MIN: 0.24 / MAX: 0.93MIN: 0.22 / MAX: 0.8MIN: 0.22 / MAX: 0.74

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: LuxCore BenchmarkTITAN RTXRTX 2080 TiRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2060 SUPERRTX 2070RTX 2060GTX 1660 SUPERGTX 1070 TiGTX 1660GTX 1080GTX 1070GTX 1660 TiGTX 1060GTX 1650GTX 1650 SUPER1.12282.24563.36844.49125.614SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 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 = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 34.994.753.693.623.553.543.492.792.262.242.202.132.122.111.531.511.36MIN: 0.32 / MAX: 5.69MIN: 0.32 / MAX: 5.39MIN: 0.27 / MAX: 4.23MIN: 0.27 / MAX: 4.17MIN: 0.27 / MAX: 4.09MIN: 0.27 / MAX: 4.03MIN: 0.27 / MAX: 3.96MIN: 0.27 / MAX: 3.18MIN: 0.27 / MAX: 2.54MIN: 0.27 / MAX: 2.52MIN: 0.32 / MAX: 2.47MIN: 0.27 / MAX: 2.39MIN: 0.27 / MAX: 2.4MIN: 0.23 / MAX: 2.4MIN: 0.23 / MAX: 1.72MIN: 0.27 / MAX: 1.68MIN: 0.23 / MAX: 1.51

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: DLSCTITAN RTXRTX 2080 TiRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2060 SUPERRTX 2070RTX 2060GTX 1660 SUPERGTX 1660GTX 1070 TiGTX 1660 TiGTX 1070GTX 1080GTX 1060GTX 1650GTX 1650 SUPER1.34552.6914.03655.3826.7275SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.985.674.444.384.324.204.173.342.632.562.552.512.462.451.781.731.61MIN: 4.3 / MAX: 6.07MIN: 5.22 / MAX: 5.74MIN: 4.11 / MAX: 4.55MIN: 3.78 / MAX: 4.5MIN: 4.11 / MAX: 4.45MIN: 4.1 / MAX: 4.33MIN: 4.09 / MAX: 4.28MIN: 3.13 / MAX: 3.41MIN: 2.55 / MAX: 2.68MIN: 2.31 / MAX: 2.64MIN: 2.31 / MAX: 2.62MIN: 2.26 / MAX: 2.58MIN: 2.29 / MAX: 2.51MIN: 2.29 / MAX: 2.5MIN: 1.64 / MAX: 1.82MIN: 1.64 / MAX: 1.78MIN: 1.43 / MAX: 1.65

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 RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1080GTX 1070GTX 1070 TiGTX 1660 SUPERGTX 1660 TiGTX 1660GTX 1060GTX 1650 SUPERGTX 165050100150200250SE +/- 0.25, N = 3SE +/- 0.21, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3227.30212.11159.79151.99149.69147.87146.90125.23112.28108.46108.23100.5198.9987.2579.1373.1759.37

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 RTXRTX 2080 TiRTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2060GTX 1070GTX 1660 SUPERGTX 1660GTX 1060GTX 1070 TiGTX 1660 TiGTX 1080GTX 1650GTX 1650 SUPER3691215SE +/- 0.18, N = 4SE +/- 0.02, N = 4SE +/- 0.09, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 4SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.13, N = 12SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 312.7312.3311.3210.9810.219.249.147.976.625.615.585.415.385.014.233.932.73MIN: 11.95 / MAX: 14MIN: 11.33 / MAX: 12.81MIN: 10.46 / MAX: 11.82MIN: 9.7 / MAX: 11.42MIN: 9.44 / MAX: 10.58MIN: 8.34 / MAX: 9.72MIN: 7.66 / MAX: 9.61MIN: 6.98 / MAX: 8.23MIN: 5.17 / MAX: 6.91MIN: 5.07 / MAX: 5.86MIN: 4.65 / MAX: 5.8MIN: 4.66 / MAX: 5.64MIN: 1.63 / MAX: 5.69MIN: 3.24 / MAX: 5.25MIN: 3.57 / MAX: 4.38MIN: 3.46 / MAX: 4.06MIN: 2.15 / MAX: 2.83

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 RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERGTX 1080RTX 2070RTX 2060 SUPERGTX 1070 TiRTX 2060GTX 1070GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1060GTX 1650120240360480600SE +/- 1.32, N = 3SE +/- 1.30, N = 3SE +/- 0.03, N = 3SE +/- 0.91, N = 3SE +/- 0.00, N = 3SE +/- 0.60, N = 3SE +/- 0.71, N = 3SE +/- 0.69, N = 3SE +/- 0.06, N = 3SE +/- 0.58, N = 3SE +/- 0.38, N = 4SE +/- 0.46, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.23, N = 3SE +/- 0.27, N = 3548.26522.22376.32345.11308.86298.46267.79261.89242.70232.17223.60184.34172.49168.56157.98150.68109.201. (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: Training - Network: Mobilenet - Device: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2060 SUPERRTX 2070 SUPERRTX 2080RTX 2070RTX 2060GTX 1660 SUPERGTX 1660 TiGTX 1070GTX 1080GTX 1070 TiGTX 1660GTX 1060GTX 1650 SUPERGTX 16504080120160200SE +/- 0.21, N = 3SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.20, N = 3SE +/- 0.17, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3198.37187.73158.82154.81154.74154.35153.03125.33111.39108.06103.7999.8299.6497.9483.5277.1065.59

NAMD CUDA

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

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.14ATPase Simulation - 327,506 AtomsRTX 2080 TiTITAN RTXRTX 2080RTX 2080 SUPERRTX 2070 SUPERRTX 2060 SUPERRTX 2070RTX 2060GTX 1070 TiGTX 1080GTX 1660 TiGTX 1660 SUPERGTX 1070GTX 1660GTX 1650 SUPERGTX 1060GTX 16500.07760.15520.23280.31040.388SE +/- 0.00046, N = 4SE +/- 0.00134, N = 4SE +/- 0.00054, N = 4SE +/- 0.00097, N = 4SE +/- 0.00025, N = 4SE +/- 0.00060, N = 4SE +/- 0.00191, N = 4SE +/- 0.00144, N = 4SE +/- 0.00101, N = 4SE +/- 0.00174, N = 4SE +/- 0.00217, N = 4SE +/- 0.00026, N = 4SE +/- 0.00276, N = 4SE +/- 0.00142, N = 4SE +/- 0.00061, N = 4SE +/- 0.00077, N = 3SE +/- 0.00088, N = 30.190820.191950.192650.193290.196250.200570.203620.206350.223000.224260.228000.231770.240220.242900.262110.309570.34503

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 RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERGTX 1080RTX 2060GTX 1070 TiGTX 1070GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1060GTX 16502004006008001000SE +/- 0.80, N = 5SE +/- 1.41, N = 5SE +/- 0.50, N = 5SE +/- 0.58, N = 5SE +/- 0.28, N = 5SE +/- 0.29, N = 5SE +/- 0.28, N = 5SE +/- 0.35, N = 4SE +/- 0.19, N = 4SE +/- 0.07, N = 4SE +/- 0.44, N = 4SE +/- 0.06, N = 4SE +/- 0.17, N = 4SE +/- 0.07, N = 4SE +/- 0.08, N = 4SE +/- 0.09, N = 4SE +/- 0.34, N = 4775.69753.75588.04544.54500.26444.84438.26398.82390.07331.84314.83313.08298.77289.42269.17227.23201.27

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 RTXRTX 2080 TiRTX 2080 SUPERRTX 2080GTX 1080RTX 2070 SUPERRTX 2070GTX 1070 TiRTX 2060 SUPERGTX 1070RTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1060GTX 1650 SUPERGTX 165048121620SE +/- 0.008, N = 8SE +/- 0.009, N = 8SE +/- 0.006, N = 7SE +/- 0.008, N = 7SE +/- 0.018, N = 6SE +/- 0.011, N = 6SE +/- 0.005, N = 6SE +/- 0.006, N = 6SE +/- 0.008, N = 6SE +/- 0.019, N = 6SE +/- 0.004, N = 5SE +/- 0.016, N = 5SE +/- 0.009, N = 5SE +/- 0.015, N = 4SE +/- 0.012, N = 4SE +/- 0.021, N = 4SE +/- 0.004, N = 34.2504.4145.7186.1966.4576.8377.7677.7917.9148.2058.83610.84711.48211.89312.00212.48717.8231. (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 RTXRTX 2080 TiRTX 2080 SUPERRTX 2070RTX 2070 SUPERRTX 2060 SUPERRTX 2080RTX 2060GTX 1660 SUPERGTX 1660 TiGTX 1080GTX 1070 TiGTX 1070GTX 1650 SUPERGTX 1660GTX 1060GTX 1650120240360480600SE +/- 0.13, N = 9SE +/- 0.13, N = 8SE +/- 0.11, N = 8SE +/- 0.10, N = 8SE +/- 0.09, N = 8SE +/- 0.13, N = 8SE +/- 0.42, N = 8SE +/- 0.08, N = 7SE +/- 0.07, N = 7SE +/- 0.07, N = 6SE +/- 0.08, N = 6SE +/- 0.03, N = 6SE +/- 0.03, N = 6SE +/- 0.04, N = 5SE +/- 0.02, N = 5SE +/- 0.02, N = 5SE +/- 0.04, N = 4567.7545.7437.6396.9396.8396.8396.5297.4296.6251.2229.6206.2206.2167.0163.9154.4108.71. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2060 SUPERRTX 2080RTX 2070RTX 2070 SUPERRTX 2060GTX 1660 SUPERGTX 1080GTX 1660 TiGTX 1070GTX 1070 TiGTX 1660GTX 1060GTX 1650 SUPERGTX 1650110220330440550SE +/- 0.97, N = 9SE +/- 0.21, N = 8SE +/- 0.27, N = 8SE +/- 0.29, N = 8SE +/- 0.51, N = 8SE +/- 0.29, N = 8SE +/- 0.29, N = 8SE +/- 0.46, N = 7SE +/- 0.36, N = 7SE +/- 0.09, N = 6SE +/- 0.14, N = 6SE +/- 0.03, N = 6SE +/- 0.03, N = 6SE +/- 0.04, N = 5SE +/- 0.02, N = 5SE +/- 0.04, N = 5SE +/- 0.02, N = 4491.7449.5352.9341.3338.1328.5322.9258.7240.7225.6223.9199.5198.2157.3148.1145.8104.41. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyRTX 2080 TiTITAN RTXRTX 2080 SUPERRTX 2070 SUPERRTX 2080RTX 2060 SUPERRTX 2070GTX 1660 SUPERRTX 2060GTX 1660 TiGTX 1080GTX 1070 TiGTX 1070GTX 1660GTX 1650 SUPERGTX 1060GTX 165070140210280350SE +/- 0.10, N = 8SE +/- 0.08, N = 9SE +/- 0.05, N = 8SE +/- 0.07, N = 8SE +/- 0.06, N = 8SE +/- 0.06, N = 8SE +/- 0.09, N = 8SE +/- 0.05, N = 7SE +/- 0.06, N = 7SE +/- 0.06, N = 6SE +/- 0.02, N = 6SE +/- 0.03, N = 6SE +/- 0.02, N = 6SE +/- 0.17, N = 5SE +/- 0.00, N = 5SE +/- 0.02, N = 5SE +/- 0.00, N = 4324.0322.7301.7292.1290.0288.0284.4240.2239.4211.1207.4184.1183.3145.9143.8138.599.21. (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 RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2060 SUPERRTX 2070RTX 2060GTX 1080GTX 1070 TiGTX 1660 TiGTX 1070GTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1060GTX 16506001200180024003000SE +/- 1.27, N = 8SE +/- 1.82, N = 7SE +/- 6.26, N = 8SE +/- 2.80, N = 7SE +/- 2.51, N = 8SE +/- 3.83, N = 8SE +/- 3.47, N = 8SE +/- 0.92, N = 7SE +/- 1.79, N = 7SE +/- 0.31, N = 7SE +/- 1.12, N = 7SE +/- 3.20, N = 7SE +/- 0.83, N = 7SE +/- 1.27, N = 7SE +/- 0.88, N = 6SE +/- 2.10, N = 6SE +/- 0.63, N = 72856.832751.852432.732322.392287.032012.371996.601719.711665.721485.781427.431392.461380.681199.661080.43987.07814.50

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 RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1080GTX 1660 TiGTX 1660 SUPERGTX 1070 TiGTX 1660GTX 1650 SUPERGTX 1070GTX 1650GTX 1060100M200M300M400M500MSE +/- 2829613.77, N = 10SE +/- 2765042.11, N = 10SE +/- 2703218.20, N = 9SE +/- 1245853.73, N = 9SE +/- 1663935.40, N = 9SE +/- 2064512.42, N = 8SE +/- 1074135.38, N = 8SE +/- 1119740.36, N = 8SE +/- 528438.95, N = 8SE +/- 340263.98, N = 7SE +/- 173522.04, N = 7SE +/- 459096.61, N = 7SE +/- 481764.73, N = 7SE +/- 421595.14, N = 7SE +/- 327094.24, N = 7SE +/- 92918.17, N = 6SE +/- 339240.54, N = 6480798376.6448915216.6374422420.6345359936.4323061985.4284631717.4281931310.0252924048.7231826397.8210891296.2200846066.4194875210.8193795979.5186025762.6184077179.7132266243.9130290433.81. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

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: OpenCLTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2060 SUPERRTX 2070RTX 2060GTX 1080GTX 1660 SUPERGTX 1070 TiGTX 1070GTX 1660 TiGTX 1660GTX 1060GTX 1650 SUPERGTX 16505001000150020002500SE +/- 2.36, N = 8SE +/- 1.58, N = 8SE +/- 1.80, N = 9SE +/- 1.77, N = 8SE +/- 1.66, N = 8SE +/- 1.35, N = 8SE +/- 1.79, N = 8SE +/- 2.01, N = 8SE +/- 0.60, N = 8SE +/- 1.11, N = 8SE +/- 0.27, N = 8SE +/- 1.14, N = 8SE +/- 0.87, N = 8SE +/- 0.61, N = 7SE +/- 0.68, N = 7SE +/- 0.61, N = 7SE +/- 0.31, N = 72544.672406.161815.921726.601712.751585.761575.651285.581154.131080.111070.901052.641038.86858.90775.73740.17573.67

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 RTXRTX 2080 TiRTX 2080 SUPERRTX 2070 SUPERRTX 2080RTX 2060 SUPERRTX 2070GTX 1660 SUPERRTX 2060GTX 1660 TiGTX 1080GTX 1070 TiGTX 1070GTX 1650 SUPERGTX 1660GTX 1060GTX 1650246810SE +/- 0.001, N = 10SE +/- 0.005, N = 10SE +/- 0.001, N = 10SE +/- 0.001, N = 10SE +/- 0.001, N = 10SE +/- 0.001, N = 10SE +/- 0.002, N = 10SE +/- 0.001, N = 10SE +/- 0.002, N = 10SE +/- 0.001, N = 10SE +/- 0.002, N = 10SE +/- 0.001, N = 10SE +/- 0.004, N = 10SE +/- 0.002, N = 10SE +/- 0.002, N = 10SE +/- 0.003, N = 10SE +/- 0.003, N = 101.6661.6771.9002.0712.0752.0832.0972.6422.6593.0683.3873.8144.0774.4454.5415.0006.8081. (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 RTXRTX 2080 SUPERRTX 2080 TiRTX 2080RTX 2070 SUPERRTX 2060RTX 2070RTX 2060 SUPERGTX 1080GTX 1660 TiGTX 1070 TiGTX 1660 SUPERGTX 1650 SUPERGTX 1660GTX 1070GTX 1650GTX 106020406080100SE +/- 0.57, N = 11SE +/- 0.41, N = 11SE +/- 0.39, N = 11SE +/- 0.38, N = 11SE +/- 0.44, N = 11SE +/- 0.29, N = 11SE +/- 0.47, N = 11SE +/- 0.24, N = 11SE +/- 0.21, N = 11SE +/- 0.37, N = 11SE +/- 0.38, N = 11SE +/- 0.37, N = 11SE +/- 0.27, N = 11SE +/- 0.25, N = 11SE +/- 0.23, N = 11SE +/- 0.21, N = 11SE +/- 0.32, N = 1176.6476.1075.7974.7374.4573.3172.5772.5070.6970.0369.1868.1567.9367.8266.2162.9661.651. (CXX) g++ options: -rdynamic -lOpenCL

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 RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660GTX 1660 SUPERGTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 10603K6K9K12K15KSE +/- 169.21, N = 15SE +/- 23.37, N = 12SE +/- 58.52, N = 13SE +/- 51.79, N = 12SE +/- 66.40, N = 12SE +/- 83.63, N = 15SE +/- 81.72, N = 15SE +/- 65.66, N = 15SE +/- 49.36, N = 15SE +/- 10.20, N = 12SE +/- 6.44, N = 12SE +/- 41.07, N = 15SE +/- 1.93, N = 13SE +/- 7.00, N = 10SE +/- 0.30, N = 10SE +/- 6.03, N = 12SE +/- 10.83, N = 1513783.9313629.3710266.729141.238484.417133.776930.215356.844734.364338.674280.554128.392641.382430.552076.451695.791275.121. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2070 SUPERRTX 2070RTX 2080RTX 2060 SUPERRTX 2060GTX 1660 SUPERGTX 1660 TiGTX 1080GTX 1070 TiGTX 1070GTX 1660GTX 1650 SUPERGTX 1060GTX 1650110220330440550SE +/- 0.05, N = 13SE +/- 0.46, N = 12SE +/- 0.14, N = 13SE +/- 0.10, N = 13SE +/- 0.05, N = 13SE +/- 0.07, N = 13SE +/- 0.06, N = 13SE +/- 0.15, N = 12SE +/- 0.16, N = 12SE +/- 0.12, N = 12SE +/- 0.11, N = 15SE +/- 0.01, N = 11SE +/- 0.04, N = 11SE +/- 0.06, N = 11SE +/- 0.02, N = 13SE +/- 0.04, N = 10SE +/- 0.06, N = 12530.79506.90405.92369.62369.30369.23368.94276.94276.35234.91223.14198.18197.20158.15156.86147.66105.311. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERGTX 1080RTX 2070RTX 2060 SUPERGTX 1070 TiGTX 1070RTX 2060GTX 1660 TiGTX 1660GTX 1660 SUPERGTX 1650 SUPERGTX 1060GTX 16503K6K9K12K15KSE +/- 206.22, N = 15SE +/- 177.79, N = 15SE +/- 38.81, N = 13SE +/- 73.37, N = 15SE +/- 77.74, N = 15SE +/- 104.59, N = 15SE +/- 92.93, N = 15SE +/- 85.70, N = 15SE +/- 3.15, N = 13SE +/- 112.12, N = 15SE +/- 67.09, N = 15SE +/- 56.79, N = 15SE +/- 27.06, N = 12SE +/- 43.47, N = 15SE +/- 49.35, N = 15SE +/- 76.28, N = 15SE +/- 21.41, N = 1314178.8513536.2510264.389161.188540.738218.627265.917034.776788.406093.025417.554778.234543.644440.234123.664110.712673.641. (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: NVIDIA CUDA - Benchmark: Single PrecisionTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERGTX 1080RTX 2060GTX 1070 TiGTX 1070GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1060GTX 16503K6K9K12K15KSE +/- 595.40, N = 15SE +/- 556.93, N = 15SE +/- 134.69, N = 15SE +/- 56.09, N = 15SE +/- 5.98, N = 14SE +/- 0.92, N = 14SE +/- 0.94, N = 14SE +/- 3.04, N = 11SE +/- 3.59, N = 13SE +/- 2.31, N = 11SE +/- 30.05, N = 15SE +/- 2.28, N = 13SE +/- 0.25, N = 13SE +/- 0.26, N = 13SE +/- 0.29, N = 13SE +/- 1.19, N = 9SE +/- 0.12, N = 1215103.6114734.0311685.9510845.369754.998435.238264.668182.727339.396647.946174.805888.785440.745313.334993.924167.413474.171. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Double PrecisionTITAN RTXRTX 2080 TiRTX 2080 SUPERGTX 1080RTX 2080RTX 2070 SUPERGTX 1070 TiRTX 2070GTX 1070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1060GTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 165090180270360450SE +/- 15.67, N = 15SE +/- 10.76, N = 15SE +/- 0.96, N = 15SE +/- 0.03, N = 11SE +/- 0.22, N = 15SE +/- 0.15, N = 15SE +/- 0.35, N = 11SE +/- 0.27, N = 14SE +/- 0.10, N = 11SE +/- 0.23, N = 14SE +/- 0.01, N = 13SE +/- 0.08, N = 13SE +/- 0.00, N = 9SE +/- 0.66, N = 15SE +/- 0.10, N = 13SE +/- 0.13, N = 13SE +/- 0.06, N = 12413.66409.46315.61296.09291.56260.97240.92226.21225.05221.80196.30157.14151.63144.14141.36133.8892.371. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: IntegerTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 10603K6K9K12K15KSE +/- 458.60, N = 15SE +/- 264.51, N = 15SE +/- 1.56, N = 14SE +/- 7.76, N = 14SE +/- 0.98, N = 14SE +/- 0.55, N = 14SE +/- 49.03, N = 15SE +/- 4.65, N = 13SE +/- 0.35, N = 13SE +/- 4.94, N = 15SE +/- 0.22, N = 13SE +/- 0.38, N = 13SE +/- 0.11, N = 12SE +/- 1.56, N = 11SE +/- 0.87, N = 11SE +/- 3.28, N = 11SE +/- 2.01, N = 914426.1114103.7910562.999732.488722.287540.287348.916539.815271.344866.614753.114492.323108.842326.091887.611764.631187.721. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Half PrecisionTITAN RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 10607K14K21K28K35KSE +/- 939.79, N = 15SE +/- 601.15, N = 15SE +/- 15.07, N = 15SE +/- 10.25, N = 14SE +/- 1.10, N = 14SE +/- 1.36, N = 14SE +/- 1.95, N = 14SE +/- 7.32, N = 13SE +/- 0.43, N = 13SE +/- 15.42, N = 13SE +/- 53.59, N = 15SE +/- 0.94, N = 13SE +/- 0.56, N = 12SE +/- 0.10, N = 11SE +/- 0.07, N = 11SE +/- 0.02, N = 11SE +/- 0.02, N = 932084.7931492.2423628.7821764.4019501.6716838.7216507.0614646.4611787.3710862.9010568.4610057.466948.33149.35121.42113.3275.771. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: Single PrecisionRTX 2080 TiTITAN RTXRTX 2080 SUPERRTX 2080RTX 2070 SUPERGTX 1080RTX 2070RTX 2060 SUPERRTX 2060GTX 1070 TiGTX 1070GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1060GTX 16503K6K9K12K15KSE +/- 66.33, N = 15SE +/- 619.26, N = 15SE +/- 8.02, N = 14SE +/- 14.62, N = 14SE +/- 4.39, N = 14SE +/- 11.17, N = 14SE +/- 10.00, N = 13SE +/- 2.35, N = 13SE +/- 6.45, N = 13SE +/- 2.95, N = 12SE +/- 12.17, N = 15SE +/- 6.62, N = 13SE +/- 8.38, N = 13SE +/- 5.87, N = 13SE +/- 1.39, N = 13SE +/- 2.22, N = 13SE +/- 0.54, N = 1216061.0915032.4711758.6510812.529630.838520.978357.968159.157222.287018.906476.925821.195462.595259.294943.064355.283441.361. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

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 RTXRTX 2080RTX 2070RTX 2060GTX 1080GTX 1070GTX 1660GTX 16501122334455SE +/- 0.02, N = 13SE +/- 0.11, N = 15SE +/- 0.26, N = 13SE +/- 0.23, N = 14SE +/- 0.04, N = 13SE +/- 0.13, N = 13SE +/- 0.06, N = 13SE +/- 0.05, N = 1348.138.335.828.324.621.518.612.8

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 RTXRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070 TiGTX 1070GTX 10604K8K12K16K20KSE +/- 63.55, N = 15SE +/- 11.06, N = 14SE +/- 11.48, N = 14SE +/- 1.20, N = 14SE +/- 1.47, N = 14SE +/- 1.82, N = 13SE +/- 2.40, N = 13SE +/- 14.13, N = 13SE +/- 50.53, N = 15SE +/- 7.30, N = 13SE +/- 0.61, N = 13SE +/- 0.38, N = 13SE +/- 0.52, N = 12SE +/- 6.51, N = 15SE +/- 0.83, N = 14SE +/- 0.96, N = 13SE +/- 2.70, N = 1416979.9916323.9411752.1110930.569696.388362.868218.027275.335803.635432.405303.514975.183466.722655.582157.312019.081354.141. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: Double PrecisionTITAN RTXRTX 2080 TiRTX 2080 SUPERGTX 1080RTX 2080RTX 2070 SUPERGTX 1070 TiRTX 2070GTX 1070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1060GTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650100200300400500SE +/- 1.13, N = 14SE +/- 0.56, N = 15SE +/- 0.08, N = 15SE +/- 0.15, N = 14SE +/- 0.56, N = 14SE +/- 0.00, N = 14SE +/- 0.08, N = 14SE +/- 0.11, N = 15SE +/- 0.06, N = 13SE +/- 0.01, N = 13SE +/- 0.00, N = 13SE +/- 0.12, N = 13SE +/- 0.23, N = 13SE +/- 0.22, N = 13SE +/- 0.14, N = 13SE +/- 0.15, N = 13SE +/- 0.01, N = 12454.37436.81315.03296.66290.13259.11241.99226.65224.82222.15194.80155.78150.48144.30141.25132.7591.771. (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 RTXRTX 2080 TiRTX 2080 SUPERGTX 1080GTX 1070 TiRTX 2080RTX 2070 SUPERGTX 1070RTX 2070RTX 2060 SUPERRTX 2060GTX 1060GTX 1660 TiGTX 1660GTX 1660 SUPERGTX 1650 SUPERGTX 1650612182430SE +/- 0.001983, N = 15SE +/- 0.001717, N = 14SE +/- 0.003249, N = 15SE +/- 0.003290, N = 15SE +/- 0.003359, N = 15SE +/- 0.001547, N = 14SE +/- 0.014259, N = 15SE +/- 0.209293, N = 15SE +/- 0.001589, N = 14SE +/- 0.015324, N = 15SE +/- 0.000959, N = 14SE +/- 0.317433, N = 15SE +/- 0.001932, N = 14SE +/- 0.001244, N = 14SE +/- 0.001295, N = 14SE +/- 0.001228, N = 14SE +/- 0.002491, N = 145.7010006.0200006.8110006.9810007.2980007.6570008.2630008.96800010.25400010.49800012.55500013.34000014.38500015.25900015.27100016.57778524.1452851. (CXX) g++ options: -O3 -lOpenCL

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringGTX 1070 TiGTX 1660 TiRTX 2080 SUPERGTX 1650RTX 2070 SUPERGTX 1650 SUPERGTX 1660RTX 2060GTX 1060RTX 2060 SUPERRTX 2070GTX 1660 SUPERTITAN RTXRTX 2080 TiGTX 1070GTX 1080RTX 20801632486480Min: 32 / Avg: 45.46 / Max: 58Min: 29 / Avg: 48.98 / Max: 66Min: 28 / Avg: 49.61 / Max: 73Min: 27 / Avg: 49.62 / Max: 67Min: 29 / Avg: 50.76 / Max: 71Min: 30 / Avg: 50.85 / Max: 66Min: 30 / Avg: 51.27 / Max: 76Min: 29 / Avg: 51.56 / Max: 73Min: 32 / Avg: 52.77 / Max: 69Min: 33 / Avg: 53.72 / Max: 74Min: 29 / Avg: 54.87 / Max: 76Min: 33 / Avg: 55.48 / Max: 68Min: 35 / Avg: 55.61 / Max: 78Min: 29 / Avg: 56.11 / Max: 78Min: 29 / Avg: 59.81 / Max: 78Min: 28 / Avg: 61.17 / Max: 83Min: 28 / Avg: 62.06 / Max: 83

GPU Power Consumption Monitor

OpenBenchmarking.orgWattsGPU Power Consumption MonitorPhoronix Test Suite System MonitoringGTX 1650GTX 1660GTX 1650 SUPERGTX 1660 TiGTX 1060GTX 1660 SUPERRTX 2060GTX 1070RTX 2070RTX 2060 SUPERRTX 2080 SUPERGTX 1080RTX 2070 SUPERRTX 2080RTX 2080 TiTITAN RTX60120180240300Min: 5.55 / Avg: 37.62 / Max: 70.94Min: 6.72 / Avg: 45.57 / Max: 122.32Min: 6.47 / Avg: 47.87 / Max: 99.24Min: 7.22 / Avg: 59.54 / Max: 132.74Min: 6.24 / Avg: 64.43 / Max: 128.04Min: 10.68 / Avg: 67.65 / Max: 128.36Min: 9.59 / Avg: 74.07 / Max: 165.3Min: 6.84 / Avg: 82.21 / Max: 159.92Min: 7.57 / Avg: 85.38 / Max: 180.92Min: 9.27 / Avg: 88.74 / Max: 180.97Min: 8.85 / Avg: 91.93 / Max: 248.16Min: 6.47 / Avg: 92.36 / Max: 196.24Min: 14.36 / Avg: 96.17 / Max: 217.58Min: 13.71 / Avg: 103.45 / Max: 219.93Min: 5.74 / Avg: 124.11 / Max: 273.84Min: 24.02 / Avg: 126.58 / Max: 312.98