NVIDIA GPU Compute OpenCL CUDA Benchmarks

Some benchmarks by Michael Larabel.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2009116-FI-GPUCOMPUT20
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BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
CPU Massive 3 Tests
HPC - High Performance Computing 4 Tests
Machine Learning 2 Tests
Multi-Core 3 Tests
NVIDIA GPU Compute 14 Tests
OpenCL 5 Tests

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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
GTX 950
September 10 2020
  1 Hour, 19 Minutes
GTX 960
September 10 2020
  1 Hour, 18 Minutes
GTX 970
September 06 2020
  1 Hour, 45 Minutes
GTX 980
September 07 2020
  1 Hour, 10 Minutes
GTX 980 Ti
September 07 2020
  1 Hour, 7 Minutes
GTX TITAN X
September 09 2020
  1 Hour, 5 Minutes
GTX 1050 Ti
September 10 2020
  1 Hour, 21 Minutes
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 Hiding All Results Option
  1 Hour, 8 Minutes

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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 TITAN RTX 24GB (420/405MHz)Zotac NVIDIA GeForce GTX 1070 Ti 8GB (1607/4006MHz)eVGA NVIDIA GeForce GTX 970 4GB (1163/3505MHz)eVGA NVIDIA GeForce GTX 1660 SUPER 6GB (1530/7000MHz)NVIDIA GeForce GTX 980 4GB (1126/3505MHz)NVIDIA GeForce GTX 1070 8GB (1506/4006MHz)NVIDIA GeForce GTX 1080 8GB (1607/5005MHz)NVIDIA GeForce GTX 980 Ti 6GB (999/3505MHz)NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz)NVIDIA GeForce GTX 1060 6GB (1506/4006MHz)NVIDIA GeForce RTX 2060 6GB (1365/7000MHz)ASUS NVIDIA GeForce GTX 1650 SUPER 4GB (615/405MHz)NVIDIA GeForce RTX 2070 SUPER 8GB (450/405MHz)NVIDIA GeForce RTX 2080 SUPER 8GB (1650/7750MHz)Zotac NVIDIA GeForce RTX 2080 8GB (1515/7000MHz)ASUS NVIDIA GeForce RTX 2070 8GB (1410/7000MHz)NVIDIA GeForce RTX 2060 SUPER 8GB (1470/7000MHz)eVGA NVIDIA GeForce GTX 1660 Ti 6GB (1500/6000MHz)ASUS NVIDIA GeForce GTX 1660 6GB (1530/4001MHz)ASUS NVIDIA GeForce GTX 1650 4GB (1485/4001MHz)NVIDIA GeForce GTX TITAN X 12GB (1001/3505MHz)eVGA NVIDIA GeForce GTX 1050 Ti 4GB (1354/3504MHz)eVGA NVIDIA GeForce GTX 960 2GB (1277/3505MHz)eVGA NVIDIA GeForce GTX 950 2GB (1202/3304MHz)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- 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: 1280- RTX 2060: GPU Compute Cores: 1920- GTX 1650 SUPER: GPU Compute Cores: 1280- RTX 2070 SUPER: GPU Compute Cores: 2560- RTX 2080 SUPER: GPU Compute Cores: 3072- RTX 2080: GPU Compute Cores: 2944- RTX 2070: GPU Compute Cores: 2304- RTX 2060 SUPER: GPU Compute Cores: 2176- GTX 1660 Ti: GPU Compute Cores: 1536- GTX 1660: GPU Compute Cores: 1408- GTX 1650: GPU Compute Cores: 896- GTX TITAN X: GPU Compute Cores: 3072- GTX 1050 Ti: GPU Compute Cores: 768- GTX 960: GPU Compute Cores: 1024- GTX 950: GPU Compute Cores: 768- 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

TITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 950Result OverviewPhoronix Test Suite100%358%616%874%1131%clpeakMandelGPUOctaneBenchPlaidMLcl-memRodiniaFAHBenchLuxCoreRender OpenCLArrayFireFinanceBenchGROMACSNAMD CUDALeelaChessZeroMixbenchViennaCL

NVIDIA GPU Compute OpenCL CUDA Benchmarksplaidml: Yes - Inference - Mobilenet - OpenCLplaidml: No - Training - Mobilenet - OpenCLplaidml: No - Inference - Mobilenet - OpenCLluxcorerender-cl: Rainbow Colors and Prismplaidml: No - Inference - DenseNet 201 - OpenCLplaidml: No - Inference - IMDB LSTM - OpenCLlczero: OpenCLrodinia: OpenCL Particle Filterarrayfire: Conjugate Gradient OpenCLneatbench: GPUluxcorerender-cl: LuxCore Benchmarkfahbench: mixbench: OpenCL - Single Precisionluxcorerender-cl: DLSCmixbench: OpenCL - Double Precisionmixbench: OpenCL - Integermixbench: NVIDIA CUDA - Single Precisionluxcorerender-cl: Foodmixbench: NVIDIA CUDA - Double Precisionmixbench: NVIDIA CUDA - Half Precisionmixbench: NVIDIA CUDA - Integernamd-cuda: ATPase Simulation - 327,506 Atomsoctanebench: Total Scorefinancebench: Black-Scholes OpenCLcl-mem: Readcl-mem: Writegromacs-gpu: Water Benchmarkcl-mem: Copyclpeak: Global Memory Bandwidthclpeak: Single-Precision Floatclpeak: Double-Precision Doubleclpeak: Integer Compute INTmandelgpu: GPUviennacl: OpenCL LU FactorizationTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 9502856.83198.372544.6712.73227.30775.69224244.2501.66648.14.99292.159315032.475.98454.3716979.9915103.612.23413.6632084.7914426.110.19195324.5467695.701567.7491.77.117322.7530.7914178.85548.2613783.93480798376.676.64101485.7899.641070.905.38108.23331.8499477.7913.8142.24137.13937018.902.55241.992157.316647.940.98240.92121.421887.610.22300141.6676557.298206.2198.24.259184.1198.186788.40242.702076.45194875210.869.1838910.9173.25716.824.8173.89203.08516313.1855.40015.41.4690.84604141.791.73137.201215.750.670.3607196.20086414.196144.6136.32.995125.9144.563874.98137.481145.14113624502.060.19791380.68111.391080.115.61100.51298.77736611.4822.6422.26135.60735462.592.63144.305432.405440.741.09144.1410862.904866.610.23177135.65713415.271296.6240.74.629240.2276.354440.23172.494280.55200846066.468.15321053.4980.47810.505.1182.21228.46626511.7744.90417.31.63102.36684683.961.93159.331389.900.780.33566110.81432112.101165.3159.13.271145.0165.294472.77159.721306.51121139566.861.93621392.46103.791052.646.62108.46314.8397508.2054.07721.52.12139.49746476.922.46224.822019.086174.800.92225.05113.321764.630.24022132.8393548.968206.2199.54.052183.3197.206093.02223.601695.79184077179.766.20681665.7299.821154.134.23112.28398.82126626.4573.38724.62.13151.56798520.972.45296.662655.588182.720.99296.09149.352326.090.22426148.4720096.981229.6225.64.634207.4223.148218.62298.462430.55231826397.870.68801290.4889.281029.366.5999.84267.88828310.0713.6222.00115.77535844.902.36197.441711.030.920.29138143.5214329.596266.0245.93.857217.8264.745512.89197.231612.52148357386.164.53582751.85187.732406.1612.33212.11753.75218394.4141.6774.75290.724916061.095.67436.8116323.9414734.032.23409.4631492.2414103.790.19082310.8143996.020545.7449.57.136324.0506.9013536.25522.2213629.37448915216.675.7871987.0783.52775.735.4179.13227.23593312.0025.0001.53102.26834355.281.78150.481354.144167.410.65151.6375.771187.720.3095791.73290613.340154.4148.13.181138.5147.664110.71150.681275.12130290433.861.65301719.71125.331285.587.97125.23390.07102908.8362.65928.32.79178.47127222.283.34194.807275.337339.391.17196.3014646.466539.810.20635166.09857112.555297.4258.75.416239.4276.945417.55232.175356.84252924048.773.30911080.4377.10740.172.7373.17269.17515112.4874.4451.3682.05214943.061.61132.754975.184993.920.81133.8810057.464492.320.2621192.36783916.577785167.0145.84.122143.8156.864123.66157.984128.39186025762.667.93302287.03154.741712.7510.21149.69500.26147306.8372.0713.69221.72849630.834.44259.119696.389754.991.90260.9719501.678722.280.19625221.1937488.263396.8322.96.249292.1369.628540.73308.868484.41323061985.474.44732432.73158.821815.929.14159.79588.04175015.7181.9003.62248.011811758.654.38315.0311752.1111685.951.93315.6123628.7810562.990.19329234.0664466.811437.6352.96.572301.7405.9210264.38376.3210266.72374422420.676.10162322.39154.351726.609.24151.99544.54154426.1962.07538.33.55235.534110812.524.32290.1310930.5610845.361.87291.5621764.409732.480.19265224.3872117.657396.5338.16.536290.0369.239161.18345.119141.23345359936.474.72981996.60153.031575.6510.98147.87444.84123117.7672.09735.83.49199.87198357.964.17226.658362.868435.231.30226.2116838.727540.280.20362207.53828610.254396.9328.55.865284.4369.307265.91267.797133.77284631717.472.56992012.37154.811585.7611.32146.90438.26123357.9142.0833.54200.76648159.154.20222.158218.028264.661.33221.8016507.067348.910.20057206.07894310.498396.8341.35.789288.0368.947034.77261.896930.21281931310.072.50101427.43108.061038.865.0198.99313.08773310.8473.0682.11138.55785821.192.51155.785803.635888.781.07157.1411787.375271.340.22800133.34514.385251.2223.94.789211.1234.914778.23184.344734.36210891296.270.02871199.6697.94858.905.5887.25289.42589511.8934.54118.62.20125.61585259.292.56141.255303.515313.330.99141.3610568.464753.110.24290119.10526515.259163.9157.34.412145.9158.154543.64168.564338.67193795979.567.8200814.5065.59573.673.9359.37201.27310117.8236.80812.81.5175.81353441.361.7391.773466.723474.170.6792.376948.333108.840.3450377.41021824.145285108.7104.43.25399.2105.312673.64109.202641.38132266243.962.96071369.2093.031106.296.47105.39294.1090669.1553.9172.09123.18976463.102.50221.881911.010.980.27103154.4208199.323243.5237.64.081214.4246.436121.76219.421757.81162891036.965.9450594.4157.13481.313.9849.71130.66256521.2677.7750.9661.58892561.981.1384.78771.532379.010.4684.5542.39667.900.5323355.43259324.36220095.291.22.08487.992.342331.1884.60719.4675842143.451.3381609.16434.072.8445.54143.15243018.4098.9689.530.9762.30412779.321.1593.01828.800.440.5078558.90322919.51320081.577.72.15472.882.232604.9792.41789.9979940246.752.9206508.66408.283.2241.97111.25198223.8348.3499.540.8152.69412149.600.9869.78625.550.390.5951351.15504527.81886790.384.91.80278.590.181974.9669.87593.7661530230.347.2861OpenBenchmarking.org

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 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 9506001200180024003000SE +/- 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 = 6SE +/- 0.92, N = 7SE +/- 0.88, N = 6SE +/- 2.51, N = 8SE +/- 6.26, N = 8SE +/- 2.80, N = 7SE +/- 3.47, N = 8SE +/- 3.83, N = 8SE +/- 1.12, N = 7SE +/- 1.27, N = 7SE +/- 0.63, N = 7SE +/- 3.21, N = 7SE +/- 0.93, N = 6SE +/- 0.57, N = 6SE +/- 0.31, N = 52856.831485.78910.911380.681053.491392.461665.721290.482751.85987.071719.711080.432287.032432.732322.391996.602012.371427.431199.66814.501369.20594.41609.16508.66

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 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 Ti4080120160200SE +/- 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 = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.17, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.19, N = 3SE +/- 0.02, N = 3198.3799.6473.25111.3980.47103.7999.8289.28187.7383.52125.3377.10154.74158.82154.35153.03154.81108.0697.9465.5993.0357.13

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 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 9505001000150020002500SE +/- 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 = 7SE +/- 2.01, N = 8SE +/- 0.61, N = 7SE +/- 1.66, N = 8SE +/- 1.80, N = 9SE +/- 1.77, N = 8SE +/- 1.79, N = 8SE +/- 1.35, N = 8SE +/- 0.87, N = 8SE +/- 0.61, N = 7SE +/- 0.31, N = 7SE +/- 0.79, N = 8SE +/- 0.34, N = 6SE +/- 0.05, N = 6SE +/- 0.17, N = 62544.671070.90716.821080.11810.501052.641154.131029.362406.16775.731285.58740.171712.751815.921726.601575.651585.761038.86858.90573.671106.29481.31434.07408.28

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 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 9503691215SE +/- 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 = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 4SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 4SE +/- 0.09, N = 4SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 312.735.384.815.615.116.624.236.5912.335.417.972.7310.219.149.2410.9811.325.015.583.936.473.982.843.22

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 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 95050100150200250SE +/- 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 = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3227.30108.2373.89100.5182.21108.46112.2899.84212.1179.13125.2373.17149.69159.79151.99147.87146.9098.9987.2559.37105.3949.7145.5441.97

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 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 9502004006008001000SE +/- 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 = 4SE +/- 0.19, N = 4SE +/- 0.08, N = 4SE +/- 0.28, N = 5SE +/- 0.50, N = 5SE +/- 0.58, N = 5SE +/- 0.29, N = 5SE +/- 0.28, N = 5SE +/- 0.06, N = 4SE +/- 0.07, N = 4SE +/- 0.34, N = 4SE +/- 0.30, N = 4SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3775.69331.84203.08298.77228.46314.83398.82267.88753.75227.23390.07269.17500.26588.04544.54444.84438.26313.08289.42201.27294.10130.66143.15111.25

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 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 9505K10K15K20K25KSE +/- 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 = 3SE +/- 64.75, N = 3SE +/- 19.16, N = 3SE +/- 28.58, N = 3SE +/- 79.08, N = 3SE +/- 77.45, N = 3SE +/- 70.73, N = 3SE +/- 61.94, N = 3SE +/- 56.77, N = 3SE +/- 3.38, N = 3SE +/- 6.17, N = 3SE +/- 27.94, N = 3SE +/- 2.73, N = 3SE +/- 10.44, N = 3SE +/- 16.29, N = 32242499475163736662659750126628283218395933102905151147301750115442123111233577335895310190662565243019821. (CXX) g++ options: -flto -pthread

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 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 950612182430SE +/- 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 = 4SE +/- 0.004, N = 5SE +/- 0.021, N = 4SE +/- 0.011, N = 6SE +/- 0.006, N = 7SE +/- 0.008, N = 7SE +/- 0.005, N = 6SE +/- 0.008, N = 6SE +/- 0.016, N = 5SE +/- 0.015, N = 4SE +/- 0.004, N = 3SE +/- 0.038, N = 5SE +/- 0.027, N = 3SE +/- 0.055, N = 3SE +/- 0.028, N = 34.2507.79113.18511.48211.7748.2056.45710.0714.41412.0028.83612.4876.8375.7186.1967.7677.91410.84711.89317.8239.15521.26718.40923.8341. (CXX) g++ options: -m64 -lm -lcuda -lcudart -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.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient OpenCLTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 9503691215SE +/- 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 = 10SE +/- 0.002, N = 10SE +/- 0.002, N = 10SE +/- 0.001, N = 10SE +/- 0.001, N = 10SE +/- 0.001, N = 10SE +/- 0.002, N = 10SE +/- 0.001, N = 10SE +/- 0.001, N = 10SE +/- 0.002, N = 10SE +/- 0.003, N = 10SE +/- 0.007, N = 10SE +/- 0.005, N = 10SE +/- 0.002, N = 10SE +/- 0.002, N = 101.6663.8145.4002.6424.9044.0773.3873.6221.6775.0002.6594.4452.0711.9002.0752.0972.0833.0684.5416.8083.9177.7758.9688.3491. (CXX) g++ options: -rdynamic

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 1080RTX 2060RTX 2080RTX 2070GTX 1660GTX 1650GTX 960GTX 9501122334455SE +/- 0.02, N = 13SE +/- 0.05, N = 13SE +/- 0.04, N = 13SE +/- 0.13, N = 13SE +/- 0.04, N = 13SE +/- 0.23, N = 14SE +/- 0.11, N = 15SE +/- 0.26, N = 13SE +/- 0.06, N = 13SE +/- 0.05, N = 13SE +/- 0.01, N = 13SE +/- 0.02, N = 1348.1015.4017.3021.5024.6028.3038.3035.8018.6012.809.539.54

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 BenchmarkTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 9501.12282.24563.36844.49125.614SE +/- 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 = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 34.992.241.462.261.632.122.132.004.751.532.791.363.693.623.553.493.542.112.201.512.090.960.970.81

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 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 95060120180240300SE +/- 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 = 3SE +/- 0.54, N = 3SE +/- 0.21, N = 3SE +/- 1.06, N = 3SE +/- 0.82, N = 3SE +/- 0.92, N = 3SE +/- 0.34, N = 3SE +/- 0.32, N = 3SE +/- 0.42, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.31, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3292.16137.1490.85135.61102.37139.50151.57115.78290.72102.27178.4782.05221.73248.01235.53199.87200.77138.56125.6275.81123.1961.5962.3052.69

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 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 9503K6K9K12K15KSE +/- 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 = 13SE +/- 6.45, N = 13SE +/- 1.39, N = 13SE +/- 4.39, N = 14SE +/- 8.02, N = 14SE +/- 14.62, N = 14SE +/- 10.00, N = 13SE +/- 2.35, N = 13SE +/- 6.62, N = 13SE +/- 5.87, N = 13SE +/- 0.54, N = 12SE +/- 9.14, N = 14SE +/- 1.64, N = 13SE +/- 1.32, N = 15SE +/- 0.35, N = 1115032.477018.904141.795462.594683.966476.928520.975844.9016061.094355.287222.284943.069630.8311758.6510812.528357.968159.155821.195259.293441.366463.102561.982779.322149.601. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

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 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 9501.34552.6914.03655.3826.7275SE +/- 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 = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 35.982.551.732.631.932.462.452.365.671.783.341.614.444.384.324.174.202.512.561.732.501.131.150.98

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: Double PrecisionTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 950100200300400500SE +/- 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 = 13SE +/- 0.00, N = 13SE +/- 0.15, N = 13SE +/- 0.00, N = 14SE +/- 0.08, N = 15SE +/- 0.56, N = 14SE +/- 0.11, N = 15SE +/- 0.01, N = 13SE +/- 0.12, N = 13SE +/- 0.14, N = 13SE +/- 0.01, N = 12SE +/- 0.07, N = 14SE +/- 0.02, N = 12SE +/- 0.07, N = 12SE +/- 0.12, N = 11454.37241.99137.20144.30159.33224.82296.66197.44436.81150.48194.80132.75259.11315.03290.13226.65222.15155.78141.2591.77221.8884.7893.0169.781. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: IntegerTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 9504K8K12K16K20KSE +/- 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 = 14SE +/- 14.13, N = 13SE +/- 0.38, N = 13SE +/- 1.47, N = 14SE +/- 11.48, N = 14SE +/- 1.20, N = 14SE +/- 1.82, N = 13SE +/- 2.40, N = 13SE +/- 50.53, N = 15SE +/- 0.61, N = 13SE +/- 0.52, N = 12SE +/- 1.23, N = 14SE +/- 2.02, N = 12SE +/- 0.81, N = 12SE +/- 0.55, N = 1516979.992157.311215.755432.401389.902019.082655.581711.0316323.941354.147275.334975.189696.3811752.1110930.568362.868218.025803.635303.513466.721911.01771.53828.80625.551. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Single PrecisionTITAN RTXGTX 1070 TiGTX 1660 SUPERGTX 1070GTX 1080RTX 2080 TiGTX 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX 1050 Ti3K6K9K12K15KSE +/- 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 = 9SE +/- 3.59, N = 13SE +/- 0.29, N = 13SE +/- 5.98, N = 14SE +/- 134.69, N = 15SE +/- 56.09, N = 15SE +/- 0.92, N = 14SE +/- 0.94, N = 14SE +/- 2.28, N = 13SE +/- 0.26, N = 13SE +/- 0.12, N = 12SE +/- 0.33, N = 715103.616647.945440.746174.808182.7214734.034167.417339.394993.929754.9911685.9510845.368435.238264.665888.785313.333474.172379.011. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

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 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 9500.50181.00361.50542.00722.509SE +/- 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 = 3SE +/- 0.02, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 4SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.230.980.671.090.780.920.990.922.230.651.170.811.901.931.871.301.331.070.990.670.980.460.440.39

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: Double PrecisionTITAN RTXGTX 1070 TiGTX 1660 SUPERGTX 1070GTX 1080RTX 2080 TiGTX 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX 1050 Ti90180270360450SE +/- 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 = 9SE +/- 0.01, N = 13SE +/- 0.13, N = 13SE +/- 0.15, N = 15SE +/- 0.96, N = 15SE +/- 0.22, N = 15SE +/- 0.27, N = 14SE +/- 0.23, N = 14SE +/- 0.08, N = 13SE +/- 0.10, N = 13SE +/- 0.06, N = 12SE +/- 0.03, N = 7413.66240.92144.14225.05296.09409.46151.63196.30133.88260.97315.61291.56226.21221.80157.14141.3692.3784.551. (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 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX 1050 Ti7K14K21K28K35KSE +/- 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 = 9SE +/- 7.32, N = 13SE +/- 0.94, N = 13SE +/- 1.10, N = 14SE +/- 15.07, N = 15SE +/- 10.25, N = 14SE +/- 1.36, N = 14SE +/- 1.95, N = 14SE +/- 0.43, N = 13SE +/- 53.59, N = 15SE +/- 0.56, N = 12SE +/- 0.01, N = 732084.79121.4210862.90113.32149.3531492.2475.7714646.4610057.4619501.6723628.7821764.4016838.7216507.0611787.3710568.466948.3342.391. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: IntegerTITAN RTXGTX 1070 TiGTX 1660 SUPERGTX 1070GTX 1080RTX 2080 TiGTX 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX 1050 Ti3K6K9K12K15KSE +/- 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 = 9SE +/- 4.65, N = 13SE +/- 0.38, N = 13SE +/- 0.98, N = 14SE +/- 1.56, N = 14SE +/- 7.76, N = 14SE +/- 0.55, N = 14SE +/- 49.03, N = 15SE +/- 0.35, N = 13SE +/- 0.22, N = 13SE +/- 0.11, N = 12SE +/- 0.18, N = 714426.111887.614866.611764.632326.0914103.791187.726539.814492.328722.2810562.999732.487540.287348.915271.344753.113108.84667.901. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

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 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 9500.13390.26780.40170.53560.6695SE +/- 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 = 3SE +/- 0.00144, N = 4SE +/- 0.00061, N = 4SE +/- 0.00025, N = 4SE +/- 0.00097, N = 4SE +/- 0.00054, N = 4SE +/- 0.00191, N = 4SE +/- 0.00060, N = 4SE +/- 0.00217, N = 4SE +/- 0.00142, N = 4SE +/- 0.00088, N = 3SE +/- 0.00182, N = 4SE +/- 0.00392, N = 3SE +/- 0.00332, N = 3SE +/- 0.00145, N = 30.191950.223000.360710.231770.335660.240220.224260.291380.190820.309570.206350.262110.196250.193290.192650.203620.200570.228000.242900.345030.271030.532330.507850.59513

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 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 95070140210280350324.55141.6796.20135.66110.81132.84148.47143.52310.8191.73166.1092.37221.19234.07224.39207.54206.08133.35119.1177.41154.4255.4358.9051.16

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 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 950714212835SE +/- 0.001983, N = 15SE +/- 0.003359, N = 15SE +/- 0.003094, N = 15SE +/- 0.001295, N = 14SE +/- 0.022523, N = 15SE +/- 0.209293, N = 15SE +/- 0.003290, N = 15SE +/- 0.156028, N = 15SE +/- 0.001717, N = 14SE +/- 0.317433, N = 15SE +/- 0.000959, N = 14SE +/- 0.001228, N = 14SE +/- 0.014259, N = 15SE +/- 0.003249, N = 15SE +/- 0.001547, N = 14SE +/- 0.001589, N = 14SE +/- 0.015324, N = 15SE +/- 0.001932, N = 14SE +/- 0.001244, N = 14SE +/- 0.002491, N = 14SE +/- 0.004731, N = 14SE +/- 0.748737, N = 15SE +/- 0.303704, N = 15SE +/- 0.453232, N = 155.7010007.29800014.19600015.27100012.1010008.9680006.9810009.5960006.02000013.34000012.55500016.5777858.2630006.8110007.65700010.25400010.49800014.38500015.25900024.1452859.32300024.36220019.51320027.8188671. (CXX) g++ options: -O3 -lOpenCL

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 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 950120240360480600SE +/- 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 = 5SE +/- 0.08, N = 7SE +/- 0.04, N = 5SE +/- 0.09, N = 8SE +/- 0.11, N = 8SE +/- 0.42, N = 8SE +/- 0.10, N = 8SE +/- 0.13, N = 8SE +/- 0.07, N = 6SE +/- 0.02, N = 5SE +/- 0.04, N = 4SE +/- 0.20, N = 6SE +/- 0.00, N = 3SE +/- 0.80, N = 2SE +/- 0.00, N = 3567.7206.2144.6296.6165.3206.2229.6266.0545.7154.4297.4167.0396.8437.6396.5396.9396.8251.2163.9108.7243.595.281.590.31. (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 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 950110220330440550SE +/- 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 = 5SE +/- 0.46, N = 7SE +/- 0.04, N = 5SE +/- 0.29, N = 8SE +/- 0.27, N = 8SE +/- 0.51, N = 8SE +/- 0.29, N = 8SE +/- 0.29, N = 8SE +/- 0.14, N = 6SE +/- 0.04, N = 5SE +/- 0.02, N = 4SE +/- 0.08, N = 6SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3491.7198.2136.3240.7159.1199.5225.6245.9449.5148.1258.7145.8322.9352.9338.1328.5341.3223.9157.3104.4237.691.277.784.91. (CC) gcc options: -O2 -flto -lOpenCL

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 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 950246810SE +/- 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 = 3SE +/- 0.008, N = 3SE +/- 0.004, N = 3SE +/- 0.008, N = 3SE +/- 0.041, N = 3SE +/- 0.015, N = 3SE +/- 0.013, N = 3SE +/- 0.016, N = 3SE +/- 0.006, N = 3SE +/- 0.010, N = 3SE +/- 0.005, N = 3SE +/- 0.005, N = 3SE +/- 0.000, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 37.1174.2592.9954.6293.2714.0524.6343.8577.1363.1815.4164.1226.2496.5726.5365.8655.7894.7894.4123.2534.0812.0842.1541.8021. (CXX) g++ options: -O3 -lpthread -ldl -lrt -lm

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: CopyTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 95070140210280350SE +/- 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 = 5SE +/- 0.06, N = 7SE +/- 0.00, N = 5SE +/- 0.07, N = 8SE +/- 0.05, N = 8SE +/- 0.06, N = 8SE +/- 0.09, N = 8SE +/- 0.06, N = 8SE +/- 0.06, N = 6SE +/- 0.17, N = 5SE +/- 0.00, N = 4SE +/- 0.11, N = 6SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3322.7184.1125.9240.2145.0183.3207.4217.8324.0138.5239.4143.8292.1301.7290.0284.4288.0211.1145.999.2214.487.972.878.51. (CC) gcc options: -O2 -flto -lOpenCL

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 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 950110220330440550SE +/- 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 = 10SE +/- 0.15, N = 12SE +/- 0.02, N = 13SE +/- 0.10, N = 13SE +/- 0.14, N = 13SE +/- 0.07, N = 13SE +/- 0.05, N = 13SE +/- 0.06, N = 13SE +/- 0.12, N = 12SE +/- 0.06, N = 11SE +/- 0.06, N = 12SE +/- 0.09, N = 9SE +/- 0.07, N = 11SE +/- 0.01, N = 13SE +/- 0.02, N = 13530.79198.18144.56276.35165.29197.20223.14264.74506.90147.66276.94156.86369.62405.92369.23369.30368.94234.91158.15105.31246.4392.3482.2390.181. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 9503K6K9K12K15KSE +/- 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 = 15SE +/- 67.09, N = 15SE +/- 49.35, N = 15SE +/- 77.74, N = 15SE +/- 38.81, N = 13SE +/- 73.37, N = 15SE +/- 92.93, N = 15SE +/- 85.70, N = 15SE +/- 56.79, N = 15SE +/- 27.06, N = 12SE +/- 21.41, N = 13SE +/- 71.02, N = 15SE +/- 51.80, N = 15SE +/- 19.60, N = 13SE +/- 28.68, N = 1514178.856788.403874.984440.234472.776093.028218.625512.8913536.254110.715417.554123.668540.7310264.389161.187265.917034.774778.234543.642673.646121.762331.182604.971974.961. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 950120240360480600SE +/- 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 = 3SE +/- 0.58, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.91, N = 3SE +/- 0.71, N = 3SE +/- 0.69, N = 3SE +/- 0.46, N = 3SE +/- 0.01, N = 3SE +/- 0.27, N = 3SE +/- 0.14, N = 3SE +/- 0.14, N = 4SE +/- 0.01, N = 3SE +/- 0.17, N = 3548.26242.70137.48172.49159.72223.60298.46197.23522.22150.68232.17157.98308.86376.32345.11267.79261.89184.34168.56109.20219.4284.6092.4169.871. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 9503K6K9K12K15KSE +/- 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 = 15SE +/- 65.66, N = 15SE +/- 41.07, N = 15SE +/- 66.40, N = 12SE +/- 58.52, N = 13SE +/- 51.79, N = 12SE +/- 83.63, N = 15SE +/- 81.72, N = 15SE +/- 49.36, N = 15SE +/- 10.20, N = 12SE +/- 1.93, N = 13SE +/- 10.01, N = 9SE +/- 10.24, N = 15SE +/- 3.50, N = 9SE +/- 4.46, N = 1513783.932076.451145.144280.551306.511695.792430.551612.5213629.371275.125356.844128.398484.4110266.729141.237133.776930.214734.364338.672641.381757.81719.46789.99593.761. (CXX) g++ options: -O3 -rdynamic -lOpenCL

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 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 950100M200M300M400M500MSE +/- 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 = 6SE +/- 1119740.36, N = 8SE +/- 421595.14, N = 7SE +/- 1663935.40, N = 9SE +/- 2703218.20, N = 9SE +/- 1245853.73, N = 9SE +/- 2064512.42, N = 8SE +/- 1074135.38, N = 8SE +/- 340263.98, N = 7SE +/- 481764.73, N = 7SE +/- 92918.17, N = 6SE +/- 479054.57, N = 6SE +/- 67025.37, N = 4SE +/- 68943.82, N = 4SE +/- 40239.48, N = 3480798376.6194875210.8113624502.0200846066.4121139566.8184077179.7231826397.8148357386.1448915216.6130290433.8252924048.7186025762.6323061985.4374422420.6345359936.4284631717.4281931310.0210891296.2193795979.5132266243.9162891036.975842143.479940246.761530230.31. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

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 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 95020406080100SE +/- 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 = 11SE +/- 0.29, N = 11SE +/- 0.27, N = 11SE +/- 0.44, N = 11SE +/- 0.41, N = 11SE +/- 0.38, N = 11SE +/- 0.47, N = 11SE +/- 0.24, N = 11SE +/- 0.37, N = 11SE +/- 0.25, N = 11SE +/- 0.21, N = 11SE +/- 0.23, N = 11SE +/- 0.14, N = 10SE +/- 0.19, N = 10SE +/- 0.19, N = 1076.6469.1860.2068.1561.9466.2170.6964.5475.7961.6573.3167.9374.4576.1074.7372.5772.5070.0367.8262.9665.9551.3452.9247.291. (CXX) g++ options: -rdynamic -lOpenCL

GPU Power Consumption Monitor

OpenBenchmarking.orgWattsGPU Power Consumption MonitorPhoronix Test Suite System MonitoringTITAN RTXGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 960GTX 95060120180240300Min: 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: 128.04Min: 9.59 / Avg: 74.07 / Max: 165.3Min: 6.47 / Avg: 47.87 / Max: 99.24Min: 14.36 / Avg: 96.17 / Max: 217.58Min: 8.85 / Avg: 91.93 / Max: 248.16Min: 13.71 / Avg: 103.45 / Max: 219.93Min: 7.57 / Avg: 85.38 / Max: 180.92Min: 9.27 / Avg: 88.74 / Max: 180.97Min: 7.22 / Avg: 59.54 / Max: 132.74Min: 6.72 / Avg: 45.57 / Max: 122.32Min: 5.55 / Avg: 37.62 / Max: 70.94Min: 16.01 / Avg: 139.4 / Max: 257.78Min: 8.45 / Avg: 64.56 / Max: 143.77Min: 8.46 / Avg: 57.65 / Max: 109.21

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 1060RTX 2060GTX 1650 SUPERRTX 2070 SUPERRTX 2080 SUPERRTX 2080RTX 2070RTX 2060 SUPERGTX 1660 TiGTX 1660GTX 1650GTX TITAN XGTX 1050 TiGTX 960GTX 9501632486480Min: 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: 69Min: 29 / Avg: 51.56 / Max: 73Min: 30 / Avg: 50.85 / Max: 66Min: 29 / Avg: 50.76 / Max: 71Min: 28 / Avg: 49.61 / Max: 73Min: 28 / Avg: 62.06 / Max: 83Min: 29 / Avg: 54.87 / Max: 76Min: 33 / Avg: 53.72 / Max: 74Min: 29 / Avg: 48.98 / Max: 66Min: 30 / Avg: 51.27 / Max: 76Min: 27 / Avg: 49.62 / Max: 67Min: 32 / Avg: 70.56 / Max: 85Min: 28 / Avg: 52.14 / Max: 68Min: 27 / Avg: 61.47 / Max: 74Min: 29 / Avg: 62.51 / Max: 82