GPU Compute

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

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2009080-FI-GPUCOMPUT34
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BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
CPU Massive 4 Tests
Creator Workloads 2 Tests
HPC - High Performance Computing 5 Tests
Machine Learning 2 Tests
Multi-Core 3 Tests
NVIDIA GPU Compute 14 Tests
OpenCL 6 Tests

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Result
Identifier
Performance Per
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Date
Run
  Test
  Duration
TITAN RTX
September 06 2020
  1 Hour, 24 Minutes
GTX 1070 Ti
September 06 2020
  1 Hour, 31 Minutes
GTX 970
September 06 2020
  2 Hours, 9 Minutes
GTX 1660 SUPER
September 07 2020
  1 Hour, 30 Minutes
GTX 980
September 07 2020
  1 Hour, 34 Minutes
GTX 1070
September 07 2020
  1 Hour, 26 Minutes
GTX 1080
September 07 2020
  1 Hour, 23 Minutes
GTX 980 Ti
September 07 2020
  1 Hour, 29 Minutes
RTX 2080 Ti
September 07 2020
  1 Hour, 24 Minutes
GTX 1060
September 08 2020
  1 Hour, 32 Minutes
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GPU ComputeProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 1060AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS)AMD Starship/Matisse16GB2000GB Corsair Force MP600NVIDIA TITAN RTX 24GB (420/405MHz)NVIDIA TU102 HD AudioDELL P2415QRealtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 20.045.4.0-45-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8NVIDIA 450.664.6.0OpenCL 1.2 CUDA 11.0.2281.2.133GCC 9.3.0 + CUDA 11.0ext43840x2160Zotac NVIDIA GeForce GTX 1070 Ti 8GB (1607/4006MHz)NVIDIA GP104 HD AudioeVGA NVIDIA GeForce GTX 970 4GB (1163/3505MHz)NVIDIA GM204 HD AudioeVGA NVIDIA GeForce GTX 1660 SUPER 6GB (1530/7000MHz)NVIDIA TU116 HD AudioNVIDIA GeForce GTX 980 4GB (1126/3505MHz)NVIDIA GM204 HD AudioNVIDIA GeForce GTX 1070 8GB (1506/4006MHz)NVIDIA GP104 HD AudioNVIDIA GeForce GTX 1080 8GB (1607/5005MHz)NVIDIA GeForce GTX 980 Ti 6GB (999/3505MHz)NVIDIA GM200 HD AudioNVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz)NVIDIA TU102 HD AudioNVIDIA GeForce GTX 1060 6GB (1506/4006MHz)NVIDIA GP106 HD Audio5.4.0-47-generic (x86_64)OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013OpenCL Details- TITAN RTX: GPU Compute Cores: 4608- GTX 1070 Ti: GPU Compute Cores: 2432- GTX 970: GPU Compute Cores: 1664- GTX 1660 SUPER: GPU Compute Cores: 1408- GTX 980: GPU Compute Cores: 2048- GTX 1070: GPU Compute Cores: 1920- GTX 1080: GPU Compute Cores: 2560- GTX 980 Ti: GPU Compute Cores: 2816- RTX 2080 Ti: GPU Compute Cores: 4352- GTX 1060: GPU Compute Cores: 1280Python Details- Python 3.8.2Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

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

GPU Computeneatbench: GPUplaidml: Yes - Inference - Mobilenet - OpenCLplaidml: No - Training - Mobilenet - OpenCLplaidml: No - Inference - Mobilenet - OpenCLplaidml: No - Inference - Inception V3 - OpenCLplaidml: No - Inference - VGG16 - OpenCLplaidml: No - Inference - DenseNet 201 - OpenCLplaidml: No - Inference - IMDB LSTM - OpenCLplaidml: No - Inference - VGG19 - OpenCLcl-mem: Readcl-mem: Writecl-mem: Copyclpeak: Global Memory Bandwidthmixbench: OpenCL - Single Precisionmixbench: NVIDIA CUDA - Single Precisionmixbench: OpenCL - Double Precisionmixbench: NVIDIA CUDA - Double Precisionarrayfire: BLAS OpenCLviennacl: OpenCL LU Factorizationmixbench: NVIDIA CUDA - Half Precisionclpeak: Single-Precision Floatclpeak: Double-Precision Doublemixbench: OpenCL - Integermixbench: NVIDIA CUDA - Integerclpeak: Integer Compute INTluxcorerender-cl: LuxCore Benchmarkluxcorerender-cl: Rainbow Colors and Prismluxcorerender-cl: DLSCluxcorerender-cl: Foodlczero: OpenCLfahbench: gromacs-gpu: Water Benchmarkmandelgpu: GPUoctanebench: Total Scoredaphne: OpenCL - Points2Imagedaphne: NVIDIA CUDA - Euclidean Clusterdaphne: NVIDIA CUDA - Points2Imagedaphne: OpenCL - Euclidean Clusterdaphne: OpenCL - NDT Mappingdaphne: NVIDIA CUDA - NDT Mappingnamd-cuda: ATPase Simulation - 327,506 Atomsarrayfire: Conjugate Gradient OpenCLfinancebench: Black-Scholes OpenCLfinancebench: Monte-Carlo OpenCLrodinia: OpenCL Myocyterodinia: OpenCL Particle Filterrodinia: NVIDIA CUDA GPU Myocytedarktable: Boat - OpenCLdarktable: Masskrug - OpenCLdarktable: Server Room - OpenCLdarktable: Server Rack - OpenCLTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 106048.12856.83198.372544.67355.85248.79227.30775.69196.63567.7491.7322.7530.7915032.4715103.61454.37413.665040.5876.641032084.7914178.85548.2616979.9914426.1113783.934.9912.735.982.2322424292.15937.117480798376.6324.54676912538.2457870811434.1729401.5140702212279.14343.61590.630.191951.6665.701277.23212135.7674.25040.3731.4912.7920.7670.1031485.7899.641070.90159.43116.89108.23331.8492.87206.2198.2184.1198.187018.906647.94241.99240.924304.7669.1838121.426788.40242.702157.311887.612076.452.245.382.550.989947137.13934.259194875210.8141.66765513281.7676294191204.772223.78349.120.223003.8147.298754.28401242.0817.79147.7222.7412.9981.1660.11715.4910.9173.25716.8297.8364.5373.89203.0851.14144.6136.3125.9144.564141.79137.202457.7360.19793874.98137.481215.751145.141.464.811.730.67516390.84602.995113624502.096.20086411485.504137045979.331928.88324.700.360715.40014.196841.18858148.92013.18556.4984.3114.6102.8620.1631380.68111.391080.11135.3186.61100.51298.7768.81296.6240.7240.2276.355462.595440.74144.30144.141765.0168.153210862.904440.23172.495432.404866.614280.552.265.612.631.097366135.60734.629200846066.4135.65713413933.2739481651466.2429306.1275059072175.96320.97563.130.231772.64215.271594.43800434.12711.48239.9052.6073.0301.0820.10417.31053.4980.47810.50109.5072.2182.21228.4656.60165.3159.1145.0165.294683.96159.332826.1661.93624472.77159.721389.901306.511.635.111.930.786265102.36683.271121139566.8110.81432111735.8414852981019.041976.41333.520.335664.90412.101749.28800250.55311.77459.4743.7644.5432.7300.16221.51392.46103.791052.64151.7199.88108.46314.8379.12206.2199.5183.3197.206476.926174.80224.82225.052905.8866.2068113.326093.02223.602019.081764.631695.792.126.622.460.929750139.49744.052184077179.7132.83935413045.8573943511231.442243.10345.440.240224.0778.968697.54629138.0038.20542.9552.7092.9741.1120.11724.61665.7299.821154.13190.14131.34112.28398.82103.83229.6225.6207.4223.148520.978182.72296.66296.095091.8670.6880149.358218.62298.462655.582326.092430.552.134.232.450.9912662151.56794.634231826397.8148.47200913141.7294623901218.562345.38348.290.224263.3876.981921.68415237.9986.45743.1972.5462.9741.0950.1111290.4889.281029.36138.3390.7499.84267.8871.18266.0245.9217.8264.745844.90197.442438.9764.53585512.89197.231711.031612.522.006.592.360.928283115.77533.857148357386.1143.52143211829.864624498976.751908.81339.210.291383.6229.596660.54824955.17410.07164.7583.0173.2271.3980.1642751.85187.732406.16353.54237.29212.11753.75187.92545.7449.5324.0506.9016061.0914734.03436.81409.464836.6275.787131492.2413536.25522.2216323.9414103.7913629.374.7512.335.672.2321839290.72497.136448915216.6310.81439913045.0309239411436.6228816.8178368952268.23350.37606.750.190821.6776.020319.91412735.2354.41440.3521.4922.7550.7590.100987.0783.52775.73108.5671.7879.13227.2356.62154.4148.1138.5147.664355.284167.41150.48151.632856.3861.653075.774110.71150.681354.141187.721275.121.535.411.780.655933102.26833.181130290433.891.73290611766.2918261271253.432076.48333.470.309575.00013.340894.08486538.11412.00242.7033.5173.1691.3010.124OpenBenchmarking.org

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringGTX 1070 TiGTX 970GTX 1060GTX 1660 SUPERTITAN RTXRTX 2080 TiGTX 1070GTX 1080GTX 980GTX 980 Ti1632486480Min: 32 / Avg: 45.46 / Max: 58Min: 33 / Avg: 52.58 / Max: 74Min: 32 / Avg: 52.77 / Max: 69Min: 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: 31 / Avg: 65.22 / Max: 80Min: 30 / Avg: 70.66 / Max: 85

GPU Power Consumption Monitor

OpenBenchmarking.orgWattsGPU Power Consumption MonitorPhoronix Test Suite System MonitoringGTX 1060GTX 1660 SUPERGTX 1070GTX 1080GTX 970GTX 980RTX 2080 TiTITAN RTXGTX 980 Ti60120180240300Min: 6.24 / Avg: 64.43 / Max: 128.04Min: 10.68 / Avg: 67.65 / Max: 128.36Min: 6.84 / Avg: 82.21 / Max: 159.92Min: 6.47 / Avg: 92.36 / Max: 196.24Min: 15.21 / Avg: 95.21 / Max: 176.52Min: 15.1 / Avg: 102.77 / Max: 192.38Min: 5.74 / Avg: 124.11 / Max: 273.84Min: 24.02 / Avg: 126.58 / Max: 312.98Min: 15.33 / Avg: 131.28 / Max: 252.57

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 1080GTX 1070GTX 980GTX 9701122334455SE +/- 0.02, N = 13SE +/- 0.04, N = 13SE +/- 0.13, N = 13SE +/- 0.04, N = 13SE +/- 0.05, N = 1348.124.621.517.315.4
OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: GPUTITAN RTXGTX 1080GTX 1070GTX 980GTX 9701020304050Min: 47.9 / Avg: 48.12 / Max: 48.2Min: 24.3 / Avg: 24.6 / Max: 24.7Min: 20.4 / Avg: 21.49 / Max: 21.7Min: 16.9 / Avg: 17.32 / Max: 17.4Min: 15 / Avg: 15.36 / Max: 15.5

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 TiGTX 1080GTX 1070 TiGTX 1070GTX 1660 SUPERGTX 980 TiGTX 980GTX 1060GTX 9706001200180024003000SE +/- 1.27, N = 8SE +/- 1.82, N = 7SE +/- 1.79, N = 7SE +/- 0.31, N = 7SE +/- 3.20, N = 7SE +/- 0.83, N = 7SE +/- 2.34, N = 5SE +/- 0.78, N = 6SE +/- 2.10, N = 6SE +/- 0.24, N = 62856.832751.851665.721485.781392.461380.681290.481053.49987.07910.91
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLTITAN RTXRTX 2080 TiGTX 1080GTX 1070 TiGTX 1070GTX 1660 SUPERGTX 980 TiGTX 980GTX 1060GTX 9705001000150020002500Min: 2852.42 / Avg: 2856.83 / Max: 2860.57Min: 2741.61 / Avg: 2751.85 / Max: 2756.36Min: 1658.7 / Avg: 1665.72 / Max: 1670.17Min: 1484.81 / Avg: 1485.78 / Max: 1486.91Min: 1379.18 / Avg: 1392.46 / Max: 1400.32Min: 1376.62 / Avg: 1380.68 / Max: 1383.28Min: 1283.86 / Avg: 1290.48 / Max: 1296.28Min: 1050.63 / Avg: 1053.49 / Max: 1055.35Min: 976.63 / Avg: 987.07 / Max: 989.74Min: 909.92 / Avg: 910.91 / Max: 911.61

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Training - Network: Mobilenet - Device: OpenCLTITAN RTXRTX 2080 TiGTX 1660 SUPERGTX 1070GTX 1080GTX 1070 TiGTX 980 TiGTX 1060GTX 980GTX 9704080120160200SE +/- 0.21, N = 3SE +/- 0.19, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3198.37187.73111.39103.7999.8299.6489.2883.5280.4773.25
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Training - Network: Mobilenet - Device: OpenCLTITAN RTXRTX 2080 TiGTX 1660 SUPERGTX 1070GTX 1080GTX 1070 TiGTX 980 TiGTX 1060GTX 980GTX 9704080120160200Min: 197.97 / Avg: 198.37 / Max: 198.7Min: 187.37 / Avg: 187.73 / Max: 188Min: 111.25 / Avg: 111.39 / Max: 111.47Min: 103.68 / Avg: 103.79 / Max: 103.89Min: 99.65 / Avg: 99.82 / Max: 100.04Min: 99.57 / Avg: 99.64 / Max: 99.73Min: 89.16 / Avg: 89.28 / Max: 89.43Min: 83.43 / Avg: 83.52 / Max: 83.64Min: 80.45 / Avg: 80.47 / Max: 80.48Min: 73.24 / Avg: 73.25 / Max: 73.28

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLTITAN RTXRTX 2080 TiGTX 1080GTX 1660 SUPERGTX 1070 TiGTX 1070GTX 980 TiGTX 980GTX 1060GTX 9705001000150020002500SE +/- 2.36, N = 8SE +/- 1.58, N = 8SE +/- 0.60, N = 8SE +/- 1.11, N = 8SE +/- 0.27, N = 8SE +/- 1.14, N = 8SE +/- 0.66, N = 8SE +/- 0.69, N = 7SE +/- 0.68, N = 7SE +/- 0.28, N = 72544.672406.161154.131080.111070.901052.641029.36810.50775.73716.82
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLTITAN RTXRTX 2080 TiGTX 1080GTX 1660 SUPERGTX 1070 TiGTX 1070GTX 980 TiGTX 980GTX 1060GTX 970400800120016002000Min: 2534.25 / Avg: 2544.67 / Max: 2554.18Min: 2399.25 / Avg: 2406.16 / Max: 2415.37Min: 1150.95 / Avg: 1154.13 / Max: 1156.54Min: 1074.81 / Avg: 1080.11 / Max: 1086.26Min: 1069.71 / Avg: 1070.9 / Max: 1071.92Min: 1046.13 / Avg: 1052.64 / Max: 1055.16Min: 1025.14 / Avg: 1029.36 / Max: 1030.97Min: 807.47 / Avg: 810.5 / Max: 812.36Min: 773.01 / Avg: 775.73 / Max: 777.23Min: 716.21 / Avg: 716.82 / Max: 717.88

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLTITAN RTXRTX 2080 TiGTX 1080GTX 1070 TiGTX 1070GTX 980 TiGTX 1660 SUPERGTX 980GTX 1060GTX 97080160240320400SE +/- 0.19, N = 3SE +/- 0.25, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.23, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.62, N = 3SE +/- 0.19, N = 3SE +/- 0.02, N = 3355.85353.54190.14159.43151.71138.33135.31109.50108.5697.83
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLTITAN RTXRTX 2080 TiGTX 1080GTX 1070 TiGTX 1070GTX 980 TiGTX 1660 SUPERGTX 980GTX 1060GTX 97060120180240300Min: 355.61 / Avg: 355.85 / Max: 356.23Min: 353.13 / Avg: 353.54 / Max: 354Min: 189.96 / Avg: 190.14 / Max: 190.35Min: 159.35 / Avg: 159.43 / Max: 159.5Min: 151.4 / Avg: 151.71 / Max: 152.16Min: 138.29 / Avg: 138.33 / Max: 138.37Min: 135.24 / Avg: 135.31 / Max: 135.37Min: 108.81 / Avg: 109.5 / Max: 110.74Min: 108.2 / Avg: 108.56 / Max: 108.84Min: 97.8 / Avg: 97.83 / Max: 97.88

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLTITAN RTXRTX 2080 TiGTX 1080GTX 1070 TiGTX 1070GTX 980 TiGTX 1660 SUPERGTX 980GTX 1060GTX 97050100150200250SE +/- 0.54, N = 4SE +/- 0.64, N = 3SE +/- 0.42, N = 3SE +/- 0.10, N = 3SE +/- 0.18, N = 3SE +/- 0.87, N = 3SE +/- 0.10, N = 3SE +/- 0.21, N = 3SE +/- 0.22, N = 3SE +/- 0.06, N = 3248.79237.29131.34116.8999.8890.7486.6172.2171.7864.53
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLTITAN RTXRTX 2080 TiGTX 1080GTX 1070 TiGTX 1070GTX 980 TiGTX 1660 SUPERGTX 980GTX 1060GTX 97050100150200250Min: 247.59 / Avg: 248.79 / Max: 250.14Min: 236.4 / Avg: 237.29 / Max: 238.52Min: 130.67 / Avg: 131.34 / Max: 132.12Min: 116.74 / Avg: 116.89 / Max: 117.08Min: 99.63 / Avg: 99.88 / Max: 100.22Min: 89.06 / Avg: 90.74 / Max: 91.96Min: 86.47 / Avg: 86.61 / Max: 86.8Min: 71.89 / Avg: 72.21 / Max: 72.61Min: 71.41 / Avg: 71.78 / Max: 72.17Min: 64.43 / Avg: 64.53 / Max: 64.64

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLTITAN RTXRTX 2080 TiGTX 1080GTX 1070GTX 1070 TiGTX 1660 SUPERGTX 980 TiGTX 980GTX 1060GTX 97050100150200250SE +/- 0.25, N = 3SE +/- 0.21, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3227.30212.11112.28108.46108.23100.5199.8482.2179.1373.89
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLTITAN RTXRTX 2080 TiGTX 1080GTX 1070GTX 1070 TiGTX 1660 SUPERGTX 980 TiGTX 980GTX 1060GTX 9704080120160200Min: 227 / Avg: 227.3 / Max: 227.79Min: 211.7 / Avg: 212.11 / Max: 212.41Min: 112.19 / Avg: 112.28 / Max: 112.42Min: 108.37 / Avg: 108.46 / Max: 108.52Min: 108.22 / Avg: 108.23 / Max: 108.24Min: 100.41 / Avg: 100.51 / Max: 100.58Min: 99.66 / Avg: 99.84 / Max: 99.98Min: 81.91 / Avg: 82.21 / Max: 82.38Min: 79.1 / Avg: 79.13 / Max: 79.16Min: 73.88 / Avg: 73.89 / Max: 73.89

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLTITAN RTXRTX 2080 TiGTX 1080GTX 1070 TiGTX 1070GTX 1660 SUPERGTX 980 TiGTX 980GTX 1060GTX 9702004006008001000SE +/- 0.80, N = 5SE +/- 1.41, N = 5SE +/- 0.35, N = 4SE +/- 0.07, N = 4SE +/- 0.44, N = 4SE +/- 0.17, N = 4SE +/- 0.57, N = 4SE +/- 0.41, N = 4SE +/- 0.09, N = 4SE +/- 0.11, N = 4775.69753.75398.82331.84314.83298.77267.88228.46227.23203.08
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLTITAN RTXRTX 2080 TiGTX 1080GTX 1070 TiGTX 1070GTX 1660 SUPERGTX 980 TiGTX 980GTX 1060GTX 970140280420560700Min: 773.99 / Avg: 775.69 / Max: 778.59Min: 749.42 / Avg: 753.75 / Max: 757.08Min: 397.78 / Avg: 398.82 / Max: 399.29Min: 331.71 / Avg: 331.84 / Max: 332.03Min: 313.79 / Avg: 314.83 / Max: 315.93Min: 298.47 / Avg: 298.77 / Max: 299.18Min: 266.4 / Avg: 267.88 / Max: 268.79Min: 227.26 / Avg: 228.46 / Max: 229.09Min: 226.97 / Avg: 227.23 / Max: 227.37Min: 202.83 / Avg: 203.08 / Max: 203.28

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLTITAN RTXRTX 2080 TiGTX 1080GTX 1070 TiGTX 1070GTX 980 TiGTX 1660 SUPERGTX 1060GTX 980GTX 9704080120160200SE +/- 0.42, N = 4SE +/- 0.60, N = 3SE +/- 0.31, N = 3SE +/- 0.05, N = 3SE +/- 0.13, N = 3SE +/- 1.20, N = 3SE +/- 0.11, N = 3SE +/- 0.16, N = 3SE +/- 0.61, N = 3SE +/- 0.04, N = 3196.63187.92103.8392.8779.1271.1868.8156.6256.6051.14
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLTITAN RTXRTX 2080 TiGTX 1080GTX 1070 TiGTX 1070GTX 980 TiGTX 1660 SUPERGTX 1060GTX 980GTX 9704080120160200Min: 195.86 / Avg: 196.63 / Max: 197.77Min: 187.07 / Avg: 187.92 / Max: 189.07Min: 103.35 / Avg: 103.83 / Max: 104.41Min: 92.81 / Avg: 92.87 / Max: 92.98Min: 78.92 / Avg: 79.12 / Max: 79.37Min: 68.86 / Avg: 71.18 / Max: 72.87Min: 68.67 / Avg: 68.81 / Max: 69.02Min: 56.36 / Avg: 56.62 / Max: 56.92Min: 55.38 / Avg: 56.6 / Max: 57.34Min: 51.08 / Avg: 51.14 / Max: 51.22

cl-mem

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: WriteTITAN RTXRTX 2080 TiGTX 1660 SUPERGTX 1080GTX 1070GTX 1060GTX 980 TiGTX 980GTX 9701.0532.1063.1594.2125.2654.684.523.632.942.832.762.271.931.84

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadTITAN RTXRTX 2080 TiGTX 1660 SUPERGTX 980 TiGTX 1080GTX 1070GTX 1070 TiGTX 980GTX 1060GTX 970120240360480600SE +/- 0.13, N = 9SE +/- 0.13, N = 8SE +/- 0.07, N = 7SE +/- 0.17, N = 6SE +/- 0.08, N = 6SE +/- 0.03, N = 6SE +/- 0.03, N = 6SE +/- 0.08, N = 5SE +/- 0.02, N = 5SE +/- 0.02, N = 4567.7545.7296.6266.0229.6206.2206.2165.3154.4144.61. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadTITAN RTXRTX 2080 TiGTX 1660 SUPERGTX 980 TiGTX 1080GTX 1070GTX 1070 TiGTX 980GTX 1060GTX 970100200300400500Min: 567.2 / Avg: 567.68 / Max: 568.2Min: 544.9 / Avg: 545.65 / Max: 546Min: 296.4 / Avg: 296.61 / Max: 296.8Min: 265.2 / Avg: 265.95 / Max: 266.3Min: 229.3 / Avg: 229.55 / Max: 229.8Min: 206.1 / Avg: 206.18 / Max: 206.3Min: 206.1 / Avg: 206.23 / Max: 206.3Min: 165.1 / Avg: 165.34 / Max: 165.5Min: 154.4 / Avg: 154.44 / Max: 154.5Min: 144.5 / Avg: 144.58 / Max: 144.61. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteTITAN RTXRTX 2080 TiGTX 980 TiGTX 1660 SUPERGTX 1080GTX 1070GTX 1070 TiGTX 980GTX 1060GTX 970110220330440550SE +/- 0.97, N = 9SE +/- 0.21, N = 8SE +/- 0.14, N = 6SE +/- 0.36, N = 7SE +/- 0.09, N = 6SE +/- 0.03, N = 6SE +/- 0.03, N = 6SE +/- 0.20, N = 5SE +/- 0.02, N = 5SE +/- 0.15, N = 4491.7449.5245.9240.7225.6199.5198.2159.1148.1136.31. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteTITAN RTXRTX 2080 TiGTX 980 TiGTX 1660 SUPERGTX 1080GTX 1070GTX 1070 TiGTX 980GTX 1060GTX 97090180270360450Min: 487.8 / Avg: 491.68 / Max: 495.2Min: 448.9 / Avg: 449.46 / Max: 450.4Min: 245.3 / Avg: 245.85 / Max: 246.2Min: 239.5 / Avg: 240.66 / Max: 241.7Min: 225.3 / Avg: 225.55 / Max: 225.9Min: 199.4 / Avg: 199.52 / Max: 199.6Min: 198.1 / Avg: 198.2 / Max: 198.3Min: 158.6 / Avg: 159.14 / Max: 159.5Min: 148.1 / Avg: 148.14 / Max: 148.2Min: 136 / Avg: 136.3 / Max: 136.61. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyRTX 2080 TiTITAN RTXGTX 1660 SUPERGTX 980 TiGTX 1080GTX 1070 TiGTX 1070GTX 980GTX 1060GTX 97070140210280350SE +/- 0.10, N = 8SE +/- 0.08, N = 9SE +/- 0.05, N = 7SE +/- 0.07, N = 6SE +/- 0.02, N = 6SE +/- 0.03, N = 6SE +/- 0.02, N = 6SE +/- 0.02, N = 5SE +/- 0.02, N = 5SE +/- 0.02, N = 4324.0322.7240.2217.8207.4184.1183.3145.0138.5125.91. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyRTX 2080 TiTITAN RTXGTX 1660 SUPERGTX 980 TiGTX 1080GTX 1070 TiGTX 1070GTX 980GTX 1060GTX 97060120180240300Min: 323.7 / Avg: 324.01 / Max: 324.4Min: 322.5 / Avg: 322.71 / Max: 323.2Min: 240 / Avg: 240.16 / Max: 240.3Min: 217.7 / Avg: 217.82 / Max: 218.1Min: 207.4 / Avg: 207.43 / Max: 207.5Min: 184 / Avg: 184.1 / Max: 184.2Min: 183.2 / Avg: 183.27 / Max: 183.3Min: 145 / Avg: 145.04 / Max: 145.1Min: 138.5 / Avg: 138.52 / Max: 138.6Min: 125.9 / Avg: 125.93 / Max: 1261. (CC) gcc options: -O2 -flto -lOpenCL

clpeak

OpenBenchmarking.orgGBPS Per Watt, More Is BetterclpeakOpenCL Test: Global Memory BandwidthTITAN RTXGTX 1660 SUPERRTX 2080 TiGTX 1080GTX 1070GTX 1060GTX 980 TiGTX 980GTX 9702468106.856.436.233.593.413.402.632.392.33

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthTITAN RTXRTX 2080 TiGTX 1660 SUPERGTX 980 TiGTX 1080GTX 1070 TiGTX 1070GTX 980GTX 1060GTX 970110220330440550SE +/- 0.05, N = 13SE +/- 0.46, N = 12SE +/- 0.16, N = 12SE +/- 0.13, N = 15SE +/- 0.11, N = 15SE +/- 0.01, N = 11SE +/- 0.04, N = 11SE +/- 0.01, N = 13SE +/- 0.04, N = 10SE +/- 0.02, N = 12530.79506.90276.35264.74223.14198.18197.20165.29147.66144.561. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthTITAN RTXRTX 2080 TiGTX 1660 SUPERGTX 980 TiGTX 1080GTX 1070 TiGTX 1070GTX 980GTX 1060GTX 97090180270360450Min: 530.37 / Avg: 530.79 / Max: 531Min: 505.13 / Avg: 506.9 / Max: 508.84Min: 274.83 / Avg: 276.35 / Max: 276.66Min: 262.88 / Avg: 264.74 / Max: 264.96Min: 222.64 / Avg: 223.14 / Max: 224.58Min: 198.13 / Avg: 198.18 / Max: 198.2Min: 196.98 / Avg: 197.2 / Max: 197.59Min: 165.2 / Avg: 165.29 / Max: 165.36Min: 147.58 / Avg: 147.66 / Max: 147.99Min: 144.44 / Avg: 144.56 / Max: 144.641. (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: OpenCL - Benchmark: Single PrecisionRTX 2080 TiTITAN RTXGTX 1080GTX 1070 TiGTX 1070GTX 980 TiGTX 1660 SUPERGTX 980GTX 1060GTX 9703K6K9K12K15KSE +/- 66.33, N = 15SE +/- 619.26, N = 15SE +/- 11.17, N = 14SE +/- 2.95, N = 12SE +/- 12.17, N = 15SE +/- 4.87, N = 13SE +/- 8.38, N = 13SE +/- 23.81, N = 15SE +/- 2.22, N = 13SE +/- 0.70, N = 1116061.0915032.478520.977018.906476.925844.905462.594683.964355.284141.791. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2
OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: Single PrecisionRTX 2080 TiTITAN RTXGTX 1080GTX 1070 TiGTX 1070GTX 980 TiGTX 1660 SUPERGTX 980GTX 1060GTX 9703K6K9K12K15KMin: 15137.74 / Avg: 16061.09 / Max: 16162.96Min: 12178.67 / Avg: 15032.47 / Max: 16964.25Min: 8464.24 / Avg: 8520.97 / Max: 8585.97Min: 6998.33 / Avg: 7018.9 / Max: 7030.71Min: 6326.68 / Avg: 6476.92 / Max: 6508.09Min: 5807.37 / Avg: 5844.9 / Max: 5860.52Min: 5406.17 / Avg: 5462.59 / Max: 5486.06Min: 4351.85 / Avg: 4683.96 / Max: 4719.42Min: 4343.7 / Avg: 4355.28 / Max: 4365.1Min: 4137.36 / Avg: 4141.79 / Max: 4145.141. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Single PrecisionTITAN RTXRTX 2080 TiGTX 1080GTX 1070 TiGTX 1070GTX 1660 SUPERGTX 10603K6K9K12K15KSE +/- 595.40, N = 15SE +/- 556.93, N = 15SE +/- 3.04, N = 11SE +/- 2.31, N = 11SE +/- 30.05, N = 15SE +/- 0.25, N = 13SE +/- 1.19, N = 915103.6114734.038182.726647.946174.805440.744167.411. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2
OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Single PrecisionTITAN RTXRTX 2080 TiGTX 1080GTX 1070 TiGTX 1070GTX 1660 SUPERGTX 10603K6K9K12K15KMin: 12306.27 / Avg: 15103.61 / Max: 17114.84Min: 11528.74 / Avg: 14734.03 / Max: 16387.99Min: 8164.15 / Avg: 8182.72 / Max: 8196.87Min: 6636.64 / Avg: 6647.94 / Max: 6662.7Min: 5754.87 / Avg: 6174.8 / Max: 6219.08Min: 5440.12 / Avg: 5440.74 / Max: 5442.66Min: 4160.15 / Avg: 4167.41 / Max: 4171.211. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: Double PrecisionTITAN RTXRTX 2080 TiGTX 1080GTX 1070 TiGTX 1070GTX 980 TiGTX 980GTX 1060GTX 1660 SUPERGTX 970100200300400500SE +/- 1.13, N = 14SE +/- 0.56, N = 15SE +/- 0.15, N = 14SE +/- 0.08, N = 14SE +/- 0.06, N = 13SE +/- 0.12, N = 13SE +/- 0.18, N = 13SE +/- 0.23, N = 13SE +/- 0.22, N = 13SE +/- 0.16, N = 13454.37436.81296.66241.99224.82197.44159.33150.48144.30137.201. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2
OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: Double PrecisionTITAN RTXRTX 2080 TiGTX 1080GTX 1070 TiGTX 1070GTX 980 TiGTX 980GTX 1060GTX 1660 SUPERGTX 97080160240320400Min: 445.15 / Avg: 454.37 / Max: 456.59Min: 428.97 / Avg: 436.81 / Max: 437.49Min: 295.86 / Avg: 296.66 / Max: 297.19Min: 241.49 / Avg: 241.99 / Max: 242.62Min: 224.49 / Avg: 224.82 / Max: 225.04Min: 196.79 / Avg: 197.44 / Max: 197.93Min: 157.8 / Avg: 159.33 / Max: 159.8Min: 149.21 / Avg: 150.48 / Max: 151.63Min: 142.68 / Avg: 144.3 / Max: 144.94Min: 135.92 / Avg: 137.2 / Max: 137.811. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Double PrecisionTITAN RTXRTX 2080 TiGTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1660 SUPER90180270360450SE +/- 15.67, N = 15SE +/- 10.76, N = 15SE +/- 0.03, N = 11SE +/- 0.35, N = 11SE +/- 0.10, N = 11SE +/- 0.00, N = 9SE +/- 0.66, N = 15413.66409.46296.09240.92225.05151.63144.141. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2
OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Double PrecisionTITAN RTXRTX 2080 TiGTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 1660 SUPER70140210280350Min: 330.27 / Avg: 413.66 / Max: 461.53Min: 342.46 / Avg: 409.46 / Max: 440.77Min: 295.95 / Avg: 296.09 / Max: 296.28Min: 239.12 / Avg: 240.92 / Max: 242.71Min: 224.38 / Avg: 225.05 / Max: 225.21Min: 151.63 / Avg: 151.63 / Max: 151.64Min: 134.93 / Avg: 144.14 / Max: 144.941. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

ArrayFire

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

OpenBenchmarking.orgGFLOPS, More Is BetterArrayFire 3.7Test: BLAS OpenCLGTX 1080TITAN RTXRTX 2080 TiGTX 1070 TiGTX 1070GTX 1060GTX 980GTX 970GTX 980 TiGTX 1660 SUPER11002200330044005500SE +/- 10.96, N = 4SE +/- 17.72, N = 4SE +/- 13.92, N = 4SE +/- 1.17, N = 4SE +/- 4.04, N = 4SE +/- 2.50, N = 4SE +/- 10.36, N = 4SE +/- 1.45, N = 4SE +/- 8.83, N = 4SE +/- 3.01, N = 45091.865040.584836.624304.762905.882856.382826.162457.732438.971765.011. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgGFLOPS, More Is BetterArrayFire 3.7Test: BLAS OpenCLGTX 1080TITAN RTXRTX 2080 TiGTX 1070 TiGTX 1070GTX 1060GTX 980GTX 970GTX 980 TiGTX 1660 SUPER9001800270036004500Min: 5069.14 / Avg: 5091.86 / Max: 5121.62Min: 5003.29 / Avg: 5040.58 / Max: 5076.67Min: 4802.25 / Avg: 4836.62 / Max: 4868.95Min: 4302 / Avg: 4304.76 / Max: 4307.06Min: 2896.84 / Avg: 2905.88 / Max: 2916.16Min: 2850.19 / Avg: 2856.38 / Max: 2860.68Min: 2796.3 / Avg: 2826.16 / Max: 2841.28Min: 2454.82 / Avg: 2457.73 / Max: 2461.65Min: 2412.7 / Avg: 2438.97 / Max: 2450.85Min: 1756.44 / Avg: 1765.01 / Max: 1769.591. (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 TiGTX 1080GTX 1070 TiGTX 1660 SUPERGTX 1070GTX 980 TiGTX 980GTX 1060GTX 97020406080100SE +/- 0.57, N = 11SE +/- 0.39, N = 11SE +/- 0.21, N = 11SE +/- 0.38, N = 11SE +/- 0.37, N = 11SE +/- 0.23, N = 11SE +/- 0.25, N = 11SE +/- 0.29, N = 11SE +/- 0.32, N = 11SE +/- 0.20, N = 1076.6475.7970.6969.1868.1566.2164.5461.9461.6560.201. (CXX) g++ options: -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPS, More Is BetterViennaCL 1.4.2OpenCL LU FactorizationTITAN RTXRTX 2080 TiGTX 1080GTX 1070 TiGTX 1660 SUPERGTX 1070GTX 980 TiGTX 980GTX 1060GTX 9701530456075Min: 72.42 / Avg: 76.64 / Max: 79.1Min: 73.27 / Avg: 75.79 / Max: 78.38Min: 69.54 / Avg: 70.69 / Max: 71.38Min: 66.56 / Avg: 69.18 / Max: 70.35Min: 65.73 / Avg: 68.15 / Max: 70.86Min: 65.43 / Avg: 66.21 / Max: 68.25Min: 63.1 / Avg: 64.54 / Max: 66.06Min: 60.68 / Avg: 61.94 / Max: 63.66Min: 59.24 / Avg: 61.65 / Max: 62.71Min: 59.08 / Avg: 60.2 / Max: 60.761. (CXX) g++ options: -rdynamic -lOpenCL

Mixbench

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Half PrecisionRTX 2080 TiTITAN RTXGTX 1660 SUPERGTX 1080GTX 1070GTX 10602004006008001000775.82583.70332.572.602.181.95

clpeak

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterclpeakOpenCL Test: Single-Precision FloatRTX 2080 TiTITAN RTXGTX 1080GTX 1070GTX 1660 SUPERGTX 1060GTX 970GTX 980GTX 980 Ti4080120160200169.42154.83141.08122.80119.96108.2362.2060.5256.52

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterclpeakOpenCL Test: Double-Precision DoubleRTX 2080 TiTITAN RTXGTX 1080GTX 1070GTX 1060GTX 1660 SUPERGTX 970GTX 980GTX 980 Ti0.94281.88562.82843.77124.7144.193.983.803.443.173.071.801.781.68

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: Half PrecisionTITAN RTXRTX 2080 TiGTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10607K14K21K28K35KSE +/- 939.79, N = 15SE +/- 601.15, N = 15SE +/- 15.42, N = 13SE +/- 0.10, N = 11SE +/- 0.07, N = 11SE +/- 0.02, N = 11SE +/- 0.02, N = 932084.7931492.2410862.90149.35121.42113.3275.771. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2
OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Half PrecisionTITAN RTXRTX 2080 TiGTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10606K12K18K24K30KMin: 24518.31 / Avg: 32084.79 / Max: 34331.27Min: 24715.45 / Avg: 31492.24 / Max: 32707.23Min: 10714.46 / Avg: 10862.9 / Max: 10958.6Min: 148.81 / Avg: 149.35 / Max: 149.7Min: 121.05 / Avg: 121.42 / Max: 121.75Min: 113.13 / Avg: 113.32 / Max: 113.4Min: 75.72 / Avg: 75.77 / Max: 75.831. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

clpeak

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

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatTITAN RTXRTX 2080 TiGTX 1080GTX 1070 TiGTX 1070GTX 980 TiGTX 980GTX 1660 SUPERGTX 1060GTX 9703K6K9K12K15KSE +/- 206.22, N = 15SE +/- 177.79, N = 15SE +/- 104.59, N = 15SE +/- 3.15, N = 13SE +/- 112.12, N = 15SE +/- 62.62, N = 15SE +/- 36.45, N = 13SE +/- 43.47, N = 15SE +/- 76.28, N = 15SE +/- 48.39, N = 1514178.8513536.258218.626788.406093.025512.894472.774440.234110.713874.981. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatTITAN RTXRTX 2080 TiGTX 1080GTX 1070 TiGTX 1070GTX 980 TiGTX 980GTX 1660 SUPERGTX 1060GTX 9702K4K6K8K10KMin: 13053.04 / Avg: 14178.85 / Max: 15383.98Min: 12651.37 / Avg: 13536.25 / Max: 14735.6Min: 7145.97 / Avg: 8218.62 / Max: 8375.93Min: 6756.9 / Avg: 6788.4 / Max: 6797.27Min: 5022.96 / Avg: 6093.02 / Max: 6275.67Min: 4893.69 / Avg: 5512.89 / Max: 5610.7Min: 4126.83 / Avg: 4472.77 / Max: 4527.47Min: 4300.76 / Avg: 4440.23 / Max: 4845.79Min: 3360.76 / Avg: 4110.71 / Max: 4231.56Min: 3413.38 / Avg: 3874.98 / Max: 3947.221. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleTITAN RTXRTX 2080 TiGTX 1080GTX 1070 TiGTX 1070GTX 980 TiGTX 1660 SUPERGTX 980GTX 1060GTX 970120240360480600SE +/- 1.32, N = 3SE +/- 1.30, N = 3SE +/- 0.60, N = 3SE +/- 0.06, N = 3SE +/- 0.38, N = 4SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.23, N = 3SE +/- 0.02, N = 3548.26522.22298.46242.70223.60197.23172.49159.72150.68137.481. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleTITAN RTXRTX 2080 TiGTX 1080GTX 1070 TiGTX 1070GTX 980 TiGTX 1660 SUPERGTX 980GTX 1060GTX 970100200300400500Min: 546.92 / Avg: 548.26 / Max: 550.9Min: 520.92 / Avg: 522.22 / Max: 524.83Min: 297.3 / Avg: 298.46 / Max: 299.29Min: 242.59 / Avg: 242.7 / Max: 242.77Min: 222.47 / Avg: 223.6 / Max: 224.11Min: 197.09 / Avg: 197.23 / Max: 197.45Min: 172.45 / Avg: 172.49 / Max: 172.53Min: 159.66 / Avg: 159.72 / Max: 159.78Min: 150.22 / Avg: 150.68 / Max: 150.92Min: 137.45 / Avg: 137.48 / Max: 137.521. (CXX) g++ options: -O3 -rdynamic -lOpenCL

Mixbench

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

OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: IntegerTITAN RTXRTX 2080 TiGTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 980 TiGTX 980GTX 1060GTX 9704K8K12K16K20KSE +/- 63.55, N = 15SE +/- 11.06, N = 14SE +/- 7.30, N = 13SE +/- 6.51, N = 15SE +/- 0.83, N = 14SE +/- 0.96, N = 13SE +/- 1.27, N = 13SE +/- 5.50, N = 15SE +/- 2.70, N = 14SE +/- 0.40, N = 1316979.9916323.945432.402655.582157.312019.081711.031389.901354.141215.751. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2
OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: IntegerTITAN RTXRTX 2080 TiGTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 980 TiGTX 980GTX 1060GTX 9703K6K9K12K15KMin: 16101.52 / Avg: 16979.99 / Max: 17151.4Min: 16219.98 / Avg: 16323.94 / Max: 16376.52Min: 5360.33 / Avg: 5432.4 / Max: 5482.71Min: 2571.51 / Avg: 2655.58 / Max: 2672.49Min: 2152.09 / Avg: 2157.31 / Max: 2163.73Min: 2014.86 / Avg: 2019.08 / Max: 2026.03Min: 1703.62 / Avg: 1711.03 / Max: 1717.81Min: 1313.52 / Avg: 1389.9 / Max: 1398.05Min: 1329.06 / Avg: 1354.14 / Max: 1360.06Min: 1212.67 / Avg: 1215.75 / Max: 1217.861. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGIOPS Per Watt, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: IntegerRTX 2080 TiTITAN RTXGTX 1660 SUPERGTX 1080GTX 1070GTX 106060120180240300278.86272.76147.0542.1636.1831.42

OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: IntegerTITAN RTXRTX 2080 TiGTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10603K6K9K12K15KSE +/- 458.60, N = 15SE +/- 264.51, N = 15SE +/- 4.94, N = 15SE +/- 1.56, N = 11SE +/- 0.87, N = 11SE +/- 3.28, N = 11SE +/- 2.01, N = 914426.1114103.794866.612326.091887.611764.631187.721. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2
OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: IntegerTITAN RTXRTX 2080 TiGTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10603K6K9K12K15KMin: 10922.44 / Avg: 14426.11 / Max: 15447.69Min: 11531.95 / Avg: 14103.79 / Max: 14668Min: 4797.5 / Avg: 4866.61 / Max: 4872.46Min: 2318.94 / Avg: 2326.09 / Max: 2333.79Min: 1881.36 / Avg: 1887.61 / Max: 1892.59Min: 1734.06 / Avg: 1764.63 / Max: 1774.14Min: 1172 / Avg: 1187.72 / Max: 1192.631. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

clpeak

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

OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTTITAN RTXRTX 2080 TiGTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 980 TiGTX 980GTX 1060GTX 9703K6K9K12K15KSE +/- 169.21, N = 15SE +/- 23.37, N = 12SE +/- 6.44, N = 12SE +/- 7.00, N = 10SE +/- 0.30, N = 10SE +/- 6.03, N = 12SE +/- 8.22, N = 9SE +/- 1.81, N = 8SE +/- 10.83, N = 15SE +/- 8.78, N = 1013783.9313629.374280.552430.552076.451695.791612.521306.511275.121145.141. (CXX) g++ options: -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTTITAN RTXRTX 2080 TiGTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 980 TiGTX 980GTX 1060GTX 9702K4K6K8K10KMin: 12860.87 / Avg: 13783.93 / Max: 14873.54Min: 13468.38 / Avg: 13629.37 / Max: 13737.35Min: 4246.47 / Avg: 4280.55 / Max: 4314.36Min: 2396.12 / Avg: 2430.55 / Max: 2459.26Min: 2074.6 / Avg: 2076.45 / Max: 2077.81Min: 1661.45 / Avg: 1695.79 / Max: 1720.52Min: 1550.61 / Avg: 1612.52 / Max: 1630.4Min: 1298.32 / Avg: 1306.51 / Max: 1311.76Min: 1162.41 / Avg: 1275.12 / Max: 1295.35Min: 1087.97 / Avg: 1145.14 / Max: 1166.111. (CXX) g++ options: -O3 -rdynamic -lOpenCL

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 RTXRTX 2080 TiGTX 1660 SUPERGTX 1070 TiGTX 1080GTX 1070GTX 980 TiGTX 980GTX 1060GTX 9701.12282.24563.36844.49125.614SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 124.994.752.262.242.132.122.001.631.531.46MIN: 0.32 / MAX: 5.69MIN: 0.32 / MAX: 5.39MIN: 0.27 / MAX: 2.54MIN: 0.27 / MAX: 2.52MIN: 0.27 / MAX: 2.39MIN: 0.27 / MAX: 2.4MIN: 0.27 / MAX: 2.27MIN: 0.27 / MAX: 1.83MIN: 0.23 / MAX: 1.72MIN: 0.12 / MAX: 1.68
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: LuxCore BenchmarkTITAN RTXRTX 2080 TiGTX 1660 SUPERGTX 1070 TiGTX 1080GTX 1070GTX 980 TiGTX 980GTX 1060GTX 970246810Min: 4.95 / Avg: 4.99 / Max: 5.02Min: 4.72 / Avg: 4.75 / Max: 4.77Min: 2.22 / Avg: 2.26 / Max: 2.28Min: 2.23 / Avg: 2.24 / Max: 2.25Min: 2.12 / Avg: 2.13 / Max: 2.13Min: 2.09 / Avg: 2.12 / Max: 2.14Min: 1.99 / Avg: 2 / Max: 2.01Min: 1.62 / Avg: 1.63 / Max: 1.64Min: 1.5 / Avg: 1.53 / Max: 1.54Min: 1.14 / Avg: 1.46 / Max: 1.52

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: Rainbow Colors and PrismTITAN RTXRTX 2080 TiGTX 1070GTX 980 TiGTX 1660 SUPERGTX 1060GTX 1070 TiGTX 980GTX 970GTX 10803691215SE +/- 0.18, N = 4SE +/- 0.02, N = 4SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.13, N = 12SE +/- 0.01, N = 3SE +/- 0.10, N = 12SE +/- 0.00, N = 312.7312.336.626.595.615.415.385.114.814.23MIN: 11.95 / MAX: 14MIN: 11.33 / MAX: 12.81MIN: 5.17 / MAX: 6.91MIN: 5.89 / MAX: 6.88MIN: 5.07 / MAX: 5.86MIN: 4.66 / MAX: 5.64MIN: 1.63 / MAX: 5.69MIN: 4.25 / MAX: 5.29MIN: 1.5 / MAX: 5.09MIN: 3.57 / MAX: 4.38
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: Rainbow Colors and PrismTITAN RTXRTX 2080 TiGTX 1070GTX 980 TiGTX 1660 SUPERGTX 1060GTX 1070 TiGTX 980GTX 970GTX 108048121620Min: 12.51 / Avg: 12.73 / Max: 13.29Min: 12.29 / Avg: 12.33 / Max: 12.37Min: 6.59 / Avg: 6.62 / Max: 6.64Min: 6.57 / Avg: 6.59 / Max: 6.62Min: 5.53 / Avg: 5.61 / Max: 5.65Min: 5.39 / Avg: 5.41 / Max: 5.43Min: 3.99 / Avg: 5.38 / Max: 5.54Min: 5.09 / Avg: 5.11 / Max: 5.13Min: 3.68 / Avg: 4.81 / Max: 4.93Min: 4.22 / Avg: 4.23 / Max: 4.24

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: DLSCTITAN RTXRTX 2080 TiGTX 1660 SUPERGTX 1070 TiGTX 1070GTX 1080GTX 980 TiGTX 980GTX 1060GTX 9701.34552.6914.03655.3826.7275SE +/- 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 +/- 0.04, N = 125.985.672.632.552.462.452.361.931.781.73MIN: 4.3 / MAX: 6.07MIN: 5.22 / MAX: 5.74MIN: 2.55 / MAX: 2.68MIN: 2.31 / MAX: 2.62MIN: 2.29 / MAX: 2.51MIN: 2.29 / MAX: 2.5MIN: 2.29 / MAX: 2.42MIN: 1.74 / MAX: 1.98MIN: 1.64 / MAX: 1.82MIN: 0.43 / MAX: 1.81
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: DLSCTITAN RTXRTX 2080 TiGTX 1660 SUPERGTX 1070 TiGTX 1070GTX 1080GTX 980 TiGTX 980GTX 1060GTX 970246810Min: 5.97 / Avg: 5.98 / Max: 5.99Min: 5.66 / Avg: 5.67 / Max: 5.69Min: 2.63 / Avg: 2.63 / Max: 2.63Min: 2.55 / Avg: 2.55 / Max: 2.56Min: 2.46 / Avg: 2.46 / Max: 2.47Min: 2.44 / Avg: 2.45 / Max: 2.45Min: 2.36 / Avg: 2.36 / Max: 2.36Min: 1.92 / Avg: 1.93 / Max: 1.94Min: 1.77 / Avg: 1.78 / Max: 1.78Min: 1.33 / Avg: 1.73 / Max: 1.77

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: FoodRTX 2080 TiTITAN RTXGTX 1660 SUPERGTX 1080GTX 1070 TiGTX 980 TiGTX 1070GTX 980GTX 970GTX 10600.50181.00361.50542.00722.509SE +/- 0.00, 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 +/- 0.00, N = 3SE +/- 0.02, N = 12SE +/- 0.01, N = 32.232.231.090.990.980.920.920.780.670.65MIN: 0.32 / MAX: 2.65MIN: 0.25 / MAX: 2.7MIN: 0.25 / MAX: 1.26MIN: 0.24 / MAX: 1.15MIN: 0.24 / MAX: 1.14MIN: 0.23 / MAX: 1.06MIN: 0.23 / MAX: 1.06MIN: 0.23 / MAX: 0.88MIN: 0.12 / MAX: 0.81MIN: 0.22 / MAX: 0.74
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: FoodRTX 2080 TiTITAN RTXGTX 1660 SUPERGTX 1080GTX 1070 TiGTX 980 TiGTX 1070GTX 980GTX 970GTX 1060246810Min: 2.23 / Avg: 2.23 / Max: 2.24Min: 2.19 / Avg: 2.23 / Max: 2.26Min: 1.08 / Avg: 1.09 / Max: 1.1Min: 0.98 / Avg: 0.99 / Max: 0.99Min: 0.97 / Avg: 0.98 / Max: 0.99Min: 0.91 / Avg: 0.92 / Max: 0.93Min: 0.92 / Avg: 0.92 / Max: 0.93Min: 0.78 / Avg: 0.78 / Max: 0.78Min: 0.45 / Avg: 0.67 / Max: 0.7Min: 0.64 / Avg: 0.65 / Max: 0.66

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 TiGTX 1080GTX 1070 TiGTX 1070GTX 980 TiGTX 1660 SUPERGTX 980GTX 1060GTX 9705K10K15K20K25KSE +/- 20.50, N = 3SE +/- 55.16, N = 3SE +/- 57.21, N = 3SE +/- 85.75, N = 3SE +/- 28.99, N = 3SE +/- 54.30, N = 3SE +/- 43.89, N = 3SE +/- 28.32, N = 3SE +/- 36.50, N = 322424218391266299479750828373666265593351631. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: OpenCLTITAN RTXRTX 2080 TiGTX 1080GTX 1070 TiGTX 1070GTX 980 TiGTX 1660 SUPERGTX 980GTX 1060GTX 9704K8K12K16K20KMin: 22388 / Avg: 22424 / Max: 22459Min: 21745 / Avg: 21839 / Max: 21936Min: 12565 / Avg: 12661.67 / Max: 12763Min: 9585 / Avg: 9750 / Max: 9873Min: 8228 / Avg: 8283.33 / Max: 8326Min: 7274 / Avg: 7366.33 / Max: 7462Min: 6190 / Avg: 6265 / Max: 6342Min: 5883 / Avg: 5933.33 / Max: 5981Min: 5106 / Avg: 5163 / Max: 52311. (CXX) g++ options: -flto -pthread

GROMACS

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2020.3Water BenchmarkGTX 1660 SUPERRTX 2080 TiTITAN RTXGTX 1060GTX 1080GTX 1070GTX 980 TiGTX 980GTX 9700.01130.02260.03390.04520.05650.050.040.040.030.030.030.020.020.02

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 TiGTX 1080GTX 1070GTX 1070 TiGTX 1660 SUPERGTX 980 TiGTX 980GTX 1060GTX 97060120180240300SE +/- 0.85, N = 3SE +/- 1.17, N = 3SE +/- 0.41, N = 3SE +/- 0.46, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.33, N = 3SE +/- 0.15, N = 3SE +/- 0.16, N = 3SE +/- 0.03, N = 3292.16290.72151.57139.50137.14135.61115.78102.37102.2790.85
OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2TITAN RTXRTX 2080 TiGTX 1080GTX 1070GTX 1070 TiGTX 1660 SUPERGTX 980 TiGTX 980GTX 1060GTX 97050100150200250Min: 290.54 / Avg: 292.16 / Max: 293.39Min: 289.14 / Avg: 290.72 / Max: 293Min: 150.99 / Avg: 151.57 / Max: 152.35Min: 138.85 / Avg: 139.5 / Max: 140.38Min: 137.05 / Avg: 137.14 / Max: 137.24Min: 135.37 / Avg: 135.61 / Max: 135.94Min: 115.39 / Avg: 115.78 / Max: 116.42Min: 102.08 / Avg: 102.37 / Max: 102.57Min: 101.96 / Avg: 102.27 / Max: 102.47Min: 90.78 / Avg: 90.85 / Max: 90.88

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 RTXGTX 1080GTX 1660 SUPERGTX 1070 TiGTX 1070GTX 980 TiGTX 980GTX 1060GTX 970246810SE +/- 0.020, N = 2SE +/- 0.005, N = 3SE +/- 0.004, N = 3SE +/- 0.007, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 37.1367.1174.6344.6294.2594.0523.8573.2713.1812.9951. (CXX) g++ options: -O3 -lpthread -ldl -lrt -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkRTX 2080 TiTITAN RTXGTX 1080GTX 1660 SUPERGTX 1070 TiGTX 1070GTX 980 TiGTX 980GTX 1060GTX 9703691215Min: 7.12 / Avg: 7.14 / Max: 7.16Min: 7.11 / Avg: 7.12 / Max: 7.13Min: 4.63 / Avg: 4.63 / Max: 4.64Min: 4.62 / Avg: 4.63 / Max: 4.64Min: 4.26 / Avg: 4.26 / Max: 4.26Min: 4.05 / Avg: 4.05 / Max: 4.06Min: 3.85 / Avg: 3.86 / Max: 3.86Min: 3.27 / Avg: 3.27 / Max: 3.28Min: 3.18 / Avg: 3.18 / Max: 3.19Min: 2.99 / Avg: 3 / Max: 31. (CXX) g++ options: -O3 -lpthread -ldl -lrt -lm

Meta Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per WattsRTX 2080 TiTITAN RTXGTX 1660 SUPERGTX 1080GTX 1070GTX 980 TiGTX 1060GTX 980GTX 97020040060080010001013.20962.08497.00406.50348.12327.28280.52249.04223.07

MandelGPU

OpenBenchmarking.orgSamples/sec Per Watt, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPURTX 2080 TiTITAN RTXGTX 1660 SUPERGTX 1080GTX 1070GTX 1060GTX 970GTX 980 TiGTX 980900K1800K2700K3600K4500K4199725.883918310.992835520.582450550.942106550.521865313.241114599.861086192.871068896.98

OpenBenchmarking.orgSamples/sec, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPUTITAN RTXRTX 2080 TiGTX 1080GTX 1660 SUPERGTX 1070 TiGTX 1070GTX 980 TiGTX 1060GTX 980GTX 970100M200M300M400M500MSE +/- 2829613.77, N = 10SE +/- 2765042.11, N = 10SE +/- 528438.95, N = 8SE +/- 173522.04, N = 7SE +/- 459096.61, N = 7SE +/- 327094.24, N = 7SE +/- 353641.55, N = 6SE +/- 339240.54, N = 6SE +/- 4075144.18, N = 15SE +/- 113731.50, N = 5480798376.6448915216.6231826397.8200846066.4194875210.8184077179.7148357386.1130290433.8121139566.8113624502.01. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL
OpenBenchmarking.orgSamples/sec, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPUTITAN RTXRTX 2080 TiGTX 1080GTX 1660 SUPERGTX 1070 TiGTX 1070GTX 980 TiGTX 1060GTX 980GTX 97080M160M240M320M400MMin: 463106260.5 / Avg: 480798376.59 / Max: 491644031.3Min: 438029854 / Avg: 448915216.64 / Max: 466681847Min: 229902589.9 / Avg: 231826397.75 / Max: 234595769.3Min: 200301299.7 / Avg: 200846066.41 / Max: 201587377Min: 193461245.9 / Avg: 194875210.81 / Max: 196731090.3Min: 182747338.5 / Avg: 184077179.73 / Max: 185067472.1Min: 146618731.2 / Avg: 148357386.12 / Max: 148891071.8Min: 128809734.8 / Avg: 130290433.82 / Max: 130995280.5Min: 64170813.2 / Avg: 121139566.83 / Max: 126800638.2Min: 113324641 / Avg: 113624502.02 / Max: 113888834.61. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

OctaneBench

OpenBenchmarking.orgScore Per Watt, More Is BetterOctaneBench 4.00cTotal ScoreRTX 2080 TiTITAN RTXGTX 1080GTX 1070GTX 1660 SUPERGTX 1060GTX 980 TiGTX 980GTX 9700.29030.58060.87091.16121.45151.291.271.261.251.251.230.850.850.84

OpenBenchmarking.orgScore, More Is BetterOctaneBench 4.00cTotal ScoreTITAN RTXRTX 2080 TiGTX 1080GTX 980 TiGTX 1070 TiGTX 1660 SUPERGTX 1070GTX 980GTX 970GTX 106070140210280350324.55310.81148.47143.52141.67135.66132.84110.8196.2091.73

Darmstadt Automotive Parallel Heterogeneous Suite

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

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenCL - Kernel: Points2ImageGTX 1660 SUPERGTX 1070 TiGTX 1080GTX 1070RTX 2080 TiTITAN RTXGTX 980 TiGTX 1060GTX 980GTX 9703K6K9K12K15KSE +/- 16.13, N = 3SE +/- 112.38, N = 3SE +/- 90.00, N = 3SE +/- 180.15, N = 3SE +/- 70.09, N = 3SE +/- 36.56, N = 3SE +/- 62.20, N = 3SE +/- 136.54, N = 3SE +/- 75.04, N = 3SE +/- 123.30, N = 313933.2713281.7713141.7313045.8613045.0312538.2511829.8611766.2911735.8411485.501. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenCL - Kernel: Points2ImageGTX 1660 SUPERGTX 1070 TiGTX 1080GTX 1070RTX 2080 TiTITAN RTXGTX 980 TiGTX 1060GTX 980GTX 9702K4K6K8K10KMin: 13902.34 / Avg: 13933.27 / Max: 13956.67Min: 13057.27 / Avg: 13281.77 / Max: 13403.33Min: 12964.65 / Avg: 13141.73 / Max: 13258.26Min: 12741.23 / Avg: 13045.86 / Max: 13364.81Min: 12964.62 / Avg: 13045.03 / Max: 13184.67Min: 12466.44 / Avg: 12538.25 / Max: 12586.14Min: 11718.48 / Avg: 11829.86 / Max: 11933.53Min: 11550.97 / Avg: 11766.29 / Max: 12019.4Min: 11591.52 / Avg: 11735.84 / Max: 11843.62Min: 11239.34 / Avg: 11485.5 / Max: 11621.221. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: NVIDIA CUDA - Kernel: Euclidean ClusterGTX 1660 SUPERRTX 2080 TiTITAN RTXGTX 1060GTX 1070GTX 1080GTX 1070 TiGTX 980GTX 970GTX 980 Ti30060090012001500SE +/- 0.96, N = 4SE +/- 0.89, N = 4SE +/- 2.28, N = 4SE +/- 8.38, N = 3SE +/- 4.73, N = 3SE +/- 2.36, N = 3SE +/- 7.67, N = 3SE +/- 1.10, N = 3SE +/- 2.99, N = 3SE +/- 15.93, N = 31466.241436.621434.171253.431231.441218.561204.771019.04979.33976.751. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: NVIDIA CUDA - Kernel: Euclidean ClusterGTX 1660 SUPERRTX 2080 TiTITAN RTXGTX 1060GTX 1070GTX 1080GTX 1070 TiGTX 980GTX 970GTX 980 Ti30060090012001500Min: 1464.17 / Avg: 1466.24 / Max: 1468.16Min: 1434.52 / Avg: 1436.62 / Max: 1438.71Min: 1428.9 / Avg: 1434.17 / Max: 1440Min: 1243.37 / Avg: 1253.43 / Max: 1270.08Min: 1222.14 / Avg: 1231.44 / Max: 1237.57Min: 1215.91 / Avg: 1218.56 / Max: 1223.27Min: 1189.58 / Avg: 1204.77 / Max: 1214.19Min: 1017.82 / Avg: 1019.04 / Max: 1021.24Min: 974.34 / Avg: 979.33 / Max: 984.68Min: 960.6 / Avg: 976.75 / Max: 1008.61. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: NVIDIA CUDA - Kernel: Points2ImageTITAN RTXGTX 1660 SUPERRTX 2080 Ti6K12K18K24K30KSE +/- 203.08, N = 3SE +/- 284.42, N = 3SE +/- 496.68, N = 329401.5129306.1328816.821. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: NVIDIA CUDA - Kernel: Points2ImageTITAN RTXGTX 1660 SUPERRTX 2080 Ti5K10K15K20K25KMin: 29018.87 / Avg: 29401.51 / Max: 29710.77Min: 28898.53 / Avg: 29306.13 / Max: 29853.57Min: 28075.56 / Avg: 28816.82 / Max: 29760.131. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenCL - Kernel: Euclidean ClusterGTX 1660 SUPERGTX 1060GTX 1070GTX 1080RTX 2080 TiGTX 970TITAN RTXGTX 980GTX 980 Ti122436486051.3550.1241.0239.7031.6729.6428.9626.6920.15

OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenCL - Kernel: NDT MappingGTX 1060GTX 1660 SUPERGTX 1070GTX 1080RTX 2080 TiGTX 970TITAN RTXGTX 980GTX 980 Ti36912159.717.817.337.186.355.775.525.293.93

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenCL - Kernel: Euclidean ClusterGTX 1080TITAN RTXRTX 2080 TiGTX 1070GTX 1070 TiGTX 1660 SUPERGTX 1060GTX 980GTX 970GTX 980 Ti5001000150020002500SE +/- 5.86, N = 5SE +/- 9.59, N = 5SE +/- 5.93, N = 5SE +/- 7.62, N = 5SE +/- 0.67, N = 5SE +/- 3.67, N = 5SE +/- 3.33, N = 5SE +/- 2.91, N = 5SE +/- 1.83, N = 4SE +/- 5.50, N = 42345.382279.142268.232243.102223.782175.962076.481976.411928.881908.811. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenCL - Kernel: Euclidean ClusterGTX 1080TITAN RTXRTX 2080 TiGTX 1070GTX 1070 TiGTX 1660 SUPERGTX 1060GTX 980GTX 970GTX 980 Ti400800120016002000Min: 2323.54 / Avg: 2345.38 / Max: 2355.61Min: 2252.27 / Avg: 2279.14 / Max: 2299.65Min: 2255.2 / Avg: 2268.23 / Max: 2290.51Min: 2224.06 / Avg: 2243.1 / Max: 2256.83Min: 2222.41 / Avg: 2223.78 / Max: 2226.17Min: 2165.92 / Avg: 2175.96 / Max: 2184.85Min: 2067.77 / Avg: 2076.48 / Max: 2086.93Min: 1967.69 / Avg: 1976.41 / Max: 1984.78Min: 1924.2 / Avg: 1928.88 / Max: 1932.9Min: 1900.37 / Avg: 1908.81 / Max: 1924.921. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenCL - Kernel: NDT MappingRTX 2080 TiGTX 1070 TiGTX 1080GTX 1070TITAN RTXGTX 980 TiGTX 980GTX 1060GTX 970GTX 1660 SUPER80160240320400SE +/- 0.87, N = 3SE +/- 2.01, N = 3SE +/- 1.38, N = 3SE +/- 2.24, N = 3SE +/- 1.41, N = 3SE +/- 2.08, N = 3SE +/- 0.61, N = 3SE +/- 0.67, N = 3SE +/- 0.82, N = 3SE +/- 2.54, N = 3350.37349.12348.29345.44343.61339.21333.52333.47324.70320.971. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenCL - Kernel: NDT MappingRTX 2080 TiGTX 1070 TiGTX 1080GTX 1070TITAN RTXGTX 980 TiGTX 980GTX 1060GTX 970GTX 1660 SUPER60120180240300Min: 348.66 / Avg: 350.37 / Max: 351.48Min: 345.18 / Avg: 349.12 / Max: 351.81Min: 346.59 / Avg: 348.29 / Max: 351.02Min: 341.02 / Avg: 345.44 / Max: 348.27Min: 341.45 / Avg: 343.61 / Max: 346.27Min: 335.55 / Avg: 339.21 / Max: 342.77Min: 332.31 / Avg: 333.52 / Max: 334.2Min: 332.32 / Avg: 333.47 / Max: 334.63Min: 323.76 / Avg: 324.7 / Max: 326.34Min: 315.91 / Avg: 320.97 / Max: 323.91. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: NVIDIA CUDA - Kernel: NDT MappingRTX 2080 TiTITAN RTXGTX 1660 SUPER130260390520650SE +/- 2.73, N = 3SE +/- 5.64, N = 3SE +/- 4.39, N = 3606.75590.63563.131. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: NVIDIA CUDA - Kernel: NDT MappingRTX 2080 TiTITAN RTXGTX 1660 SUPER110220330440550Min: 601.46 / Avg: 606.75 / Max: 610.55Min: 580.09 / Avg: 590.63 / Max: 599.38Min: 554.34 / Avg: 563.13 / Max: 567.681. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

NAMD CUDA

OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD CUDA 2.14GPU Temperature MonitorGTX 1070 TiGTX 1660 SUPERGTX 970GTX 1060RTX 2080 TiTITAN RTXGTX 1070GTX 1080GTX 980GTX 980 Ti1530456075Min: 44 / Avg: 46.95 / Max: 49Min: 45 / Avg: 54.14 / Max: 62Min: 47 / Avg: 56.05 / Max: 62Min: 53 / Avg: 59 / Max: 63Min: 56 / Avg: 59.33 / Max: 63Min: 57 / Avg: 60.56 / Max: 64Min: 61 / Avg: 64.18 / Max: 67Min: 63 / Avg: 66.02 / Max: 69Min: 65 / Avg: 71.49 / Max: 76Min: 68 / Avg: 73.03 / Max: 77

Rodinia

OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1GPU Temperature MonitorGTX 1070 TiGTX 970GTX 1060GTX 1660 SUPERGTX 1070GTX 1080RTX 2080 TiTITAN RTXGTX 980GTX 980 Ti1326395265Min: 40 / Avg: 40.95 / Max: 43Min: 41 / Avg: 43.14 / Max: 45Min: 43 / Avg: 44.94 / Max: 47Min: 43 / Avg: 50.99 / Max: 55Min: 51 / Avg: 52.92 / Max: 56Min: 50 / Avg: 53.04 / Max: 57Min: 53 / Avg: 56.63 / Max: 60Min: 53 / Avg: 56.83 / Max: 60Min: 55 / Avg: 57.36 / Max: 62Min: 61 / Avg: 63.04 / Max: 67

OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1GPU Temperature MonitorGTX 1070 TiGTX 1060GTX 970GTX 1660 SUPERRTX 2080 TiTITAN RTXGTX 1080GTX 1070GTX 980GTX 980 Ti1428425670Min: 39 / Avg: 43.62 / Max: 47Min: 41 / Avg: 49.31 / Max: 54Min: 39 / Avg: 50.35 / Max: 57Min: 45 / Avg: 52.09 / Max: 57Min: 49 / Avg: 53.32 / Max: 56Min: 50 / Avg: 54.12 / Max: 57Min: 48 / Avg: 56.89 / Max: 64Min: 48 / Avg: 57.03 / Max: 63Min: 51 / Avg: 61.18 / Max: 67Min: 59 / Avg: 67.93 / Max: 73

OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1GPU Temperature MonitorGTX 1070 TiGTX 970GTX 1060RTX 2080 TiGTX 1660 SUPERTITAN RTXGTX 1080GTX 1070GTX 980GTX 980 Ti1326395265Min: 40 / Avg: 40.3 / Max: 41Min: 41 / Avg: 43.29 / Max: 47Min: 43 / Avg: 45.03 / Max: 49Min: 48 / Avg: 50.92 / Max: 52Min: 43 / Avg: 51.19 / Max: 56Min: 49 / Avg: 51.81 / Max: 52Min: 50 / Avg: 52.55 / Max: 58Min: 50 / Avg: 52.69 / Max: 58Min: 54 / Avg: 56.12 / Max: 61Min: 61 / Avg: 63.5 / Max: 69

ArrayFire

OpenBenchmarking.orgCelsius, Fewer Is BetterArrayFire 3.7GPU Temperature MonitorGTX 1070 TiGTX 970GTX 1060GTX 1660 SUPERRTX 2080 TiTITAN RTXGTX 1070GTX 1080GTX 980GTX 980 Ti1428425670Min: 42 / Avg: 43.29 / Max: 45Min: 45 / Avg: 47.64 / Max: 51Min: 48 / Avg: 50.14 / Max: 54Min: 43 / Avg: 50.39 / Max: 58Min: 53 / Avg: 55.13 / Max: 59Min: 53 / Avg: 55.85 / Max: 60Min: 54 / Avg: 56.91 / Max: 59Min: 56 / Avg: 58.69 / Max: 62Min: 58 / Avg: 62.29 / Max: 66Min: 65 / Avg: 68.04 / Max: 72

FinanceBench

OpenBenchmarking.orgCelsius, Fewer Is BetterFinanceBench 2016-06-06GPU Temperature MonitorGTX 970GTX 1070 TiTITAN RTXGTX 1060RTX 2080 TiGTX 1660 SUPERGTX 1080GTX 1070GTX 980GTX 980 Ti1326395265Min: 39 / Avg: 39.35 / Max: 40Min: 39 / Avg: 39.94 / Max: 41Min: 41 / Avg: 42.67 / Max: 44Min: 40 / Avg: 42.76 / Max: 46Min: 42 / Avg: 43.96 / Max: 46Min: 45 / Avg: 46.81 / Max: 49Min: 46 / Avg: 47.39 / Max: 50Min: 43 / Avg: 48.67 / Max: 50Min: 50 / Avg: 51.97 / Max: 54Min: 59 / Avg: 61.76 / Max: 66

OpenBenchmarking.orgCelsius, Fewer Is BetterFinanceBench 2016-06-06GPU Temperature MonitorGTX 1070 TiGTX 970GTX 1060RTX 2080 TiTITAN RTXGTX 1080GTX 1070GTX 1660 SUPERGTX 980GTX 980 Ti1224364860Min: 39 / Avg: 39.08 / Max: 40Min: 38 / Avg: 40.25 / Max: 41Min: 39 / Avg: 41.26 / Max: 43Min: 40 / Avg: 41.32 / Max: 44Min: 40 / Avg: 41.53 / Max: 44Min: 44 / Avg: 46.77 / Max: 48Min: 45 / Avg: 46.95 / Max: 48Min: 46 / Avg: 50.08 / Max: 55Min: 49 / Avg: 51.2 / Max: 53Min: 57 / Avg: 59.51 / Max: 61

Darktable

OpenBenchmarking.orgCelsius, Fewer Is BetterDarktableGPU Temperature MonitorTITAN RTX1020304050Min: 40 / Avg: 42.66 / Max: 48

OpenBenchmarking.orgCelsius, Fewer Is BetterDarktableGPU Temperature MonitorTITAN RTX918273645Min: 41 / Avg: 42.09 / Max: 43

OpenBenchmarking.orgCelsius, Fewer Is BetterDarktableGPU Temperature MonitorTITAN RTX918273645Min: 40 / Avg: 41.68 / Max: 43

OpenBenchmarking.orgCelsius, Fewer Is BetterDarktableGPU Temperature MonitorTITAN RTX918273645Min: 39 / Avg: 39.79 / Max: 41

OpenBenchmarking.orgCelsius, Fewer Is BetterDarktable 3.0.1GPU Temperature MonitorGTX 1070 TiGTX 970GTX 1060RTX 2080 TiGTX 1070GTX 1080GTX 980GTX 1660 SUPERGTX 980 Ti1326395265Min: 38 / Avg: 39.82 / Max: 42Min: 35 / Avg: 40.64 / Max: 47Min: 37 / Avg: 42.15 / Max: 47Min: 40 / Avg: 42.68 / Max: 48Min: 41 / Avg: 48.87 / Max: 53Min: 45 / Avg: 49.77 / Max: 54Min: 44 / Avg: 50.29 / Max: 56Min: 43 / Avg: 50.51 / Max: 62Min: 54 / Avg: 60.59 / Max: 67

OpenBenchmarking.orgCelsius, Fewer Is BetterDarktable 3.0.1GPU Temperature MonitorGTX 1070 TiGTX 970RTX 2080 TiGTX 1060GTX 1660 SUPERGTX 1070GTX 1080GTX 980GTX 980 Ti1326395265Min: 39 / Avg: 39.97 / Max: 41Min: 40 / Avg: 41.38 / Max: 44Min: 41 / Avg: 42.02 / Max: 43Min: 41 / Avg: 42.5 / Max: 45Min: 42 / Avg: 47.91 / Max: 53Min: 50 / Avg: 50.63 / Max: 53Min: 51 / Avg: 51.98 / Max: 53Min: 52 / Avg: 53 / Max: 54Min: 65 / Avg: 65.31 / Max: 67

OpenBenchmarking.orgCelsius, Fewer Is BetterDarktable 3.0.1GPU Temperature MonitorGTX 1070 TiGTX 970RTX 2080 TiGTX 1060GTX 1070GTX 1080GTX 1660 SUPERGTX 980GTX 980 Ti1326395265Min: 39 / Avg: 39.59 / Max: 41Min: 39 / Avg: 40.7 / Max: 44Min: 40 / Avg: 41.51 / Max: 44Min: 39 / Avg: 41.59 / Max: 44Min: 48 / Avg: 49.5 / Max: 51Min: 49 / Avg: 50.58 / Max: 52Min: 46 / Avg: 51.77 / Max: 59Min: 51 / Avg: 52.71 / Max: 55Min: 63 / Avg: 64.9 / Max: 67

OpenBenchmarking.orgCelsius, Fewer Is BetterDarktable 3.0.1GPU Temperature MonitorGTX 1070 TiRTX 2080 TiGTX 970GTX 1060GTX 1660 SUPERGTX 1070GTX 1080GTX 980GTX 980 Ti1326395265Min: 39 / Avg: 39 / Max: 39Min: 38 / Avg: 39.59 / Max: 41Min: 39 / Avg: 40.31 / Max: 41Min: 40 / Avg: 40.47 / Max: 42Min: 45 / Avg: 46.93 / Max: 49Min: 48 / Avg: 48.62 / Max: 50Min: 50 / Avg: 50.98 / Max: 51Min: 52 / Avg: 52.97 / Max: 53Min: 65 / Avg: 65.4 / Max: 66

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 RTXGTX 1070 TiGTX 1080GTX 1660 SUPERGTX 1070GTX 980 TiGTX 1060GTX 980GTX 9700.08120.16240.24360.32480.406SE +/- 0.00046, N = 4SE +/- 0.00134, N = 4SE +/- 0.00101, N = 4SE +/- 0.00174, N = 4SE +/- 0.00026, N = 4SE +/- 0.00276, N = 4SE +/- 0.00163, N = 4SE +/- 0.00077, N = 3SE +/- 0.00291, N = 3SE +/- 0.00170, N = 30.190820.191950.223000.224260.231770.240220.291380.309570.335660.36071
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.14ATPase Simulation - 327,506 AtomsRTX 2080 TiTITAN RTXGTX 1070 TiGTX 1080GTX 1660 SUPERGTX 1070GTX 980 TiGTX 1060GTX 980GTX 97012345Min: 0.19 / Avg: 0.19 / Max: 0.19Min: 0.19 / Avg: 0.19 / Max: 0.19Min: 0.22 / Avg: 0.22 / Max: 0.23Min: 0.22 / Avg: 0.22 / Max: 0.23Min: 0.23 / Avg: 0.23 / Max: 0.23Min: 0.24 / Avg: 0.24 / Max: 0.25Min: 0.29 / Avg: 0.29 / Max: 0.29Min: 0.31 / Avg: 0.31 / Max: 0.31Min: 0.33 / Avg: 0.34 / Max: 0.34Min: 0.36 / Avg: 0.36 / Max: 0.36

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 TiGTX 1660 SUPERGTX 1080GTX 980 TiGTX 1070 TiGTX 1070GTX 980GTX 1060GTX 9701.2152.433.6454.866.075SE +/- 0.001, N = 10SE +/- 0.005, N = 10SE +/- 0.001, N = 10SE +/- 0.002, N = 10SE +/- 0.006, N = 10SE +/- 0.001, N = 10SE +/- 0.004, N = 10SE +/- 0.002, N = 10SE +/- 0.003, N = 10SE +/- 0.002, N = 91.6661.6772.6423.3873.6223.8144.0774.9045.0005.4001. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient OpenCLTITAN RTXRTX 2080 TiGTX 1660 SUPERGTX 1080GTX 980 TiGTX 1070 TiGTX 1070GTX 980GTX 1060GTX 970246810Min: 1.66 / Avg: 1.67 / Max: 1.67Min: 1.65 / Avg: 1.68 / Max: 1.7Min: 2.64 / Avg: 2.64 / Max: 2.65Min: 3.38 / Avg: 3.39 / Max: 3.4Min: 3.6 / Avg: 3.62 / Max: 3.65Min: 3.81 / Avg: 3.81 / Max: 3.82Min: 4.05 / Avg: 4.08 / Max: 4.1Min: 4.89 / Avg: 4.9 / Max: 4.92Min: 4.98 / Avg: 5 / Max: 5.02Min: 5.39 / Avg: 5.4 / Max: 5.411. (CXX) g++ options: -rdynamic

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 TiGTX 1080GTX 1070 TiGTX 1070GTX 980 TiGTX 980GTX 1060GTX 970GTX 1660 SUPER48121620SE +/- 0.002, N = 15SE +/- 0.002, N = 14SE +/- 0.003, N = 15SE +/- 0.003, N = 15SE +/- 0.209, N = 15SE +/- 0.156, N = 15SE +/- 0.023, N = 15SE +/- 0.317, N = 15SE +/- 0.003, N = 15SE +/- 0.001, N = 145.7016.0206.9817.2988.9689.59612.10113.34014.19615.2711. (CXX) g++ options: -O3 -lOpenCL
OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-06-06Benchmark: Black-Scholes OpenCLTITAN RTXRTX 2080 TiGTX 1080GTX 1070 TiGTX 1070GTX 980 TiGTX 980GTX 1060GTX 970GTX 1660 SUPER48121620Min: 5.7 / Avg: 5.7 / Max: 5.72Min: 6.01 / Avg: 6.02 / Max: 6.03Min: 6.97 / Avg: 6.98 / Max: 7.03Min: 7.29 / Avg: 7.3 / Max: 7.34Min: 7.99 / Avg: 8.97 / Max: 9.62Min: 8.85 / Avg: 9.6 / Max: 10.08Min: 12.06 / Avg: 12.1 / Max: 12.37Min: 11.37 / Avg: 13.34 / Max: 14.11Min: 14.19 / Avg: 14.2 / Max: 14.24Min: 15.26 / Avg: 15.27 / Max: 15.281. (CXX) g++ options: -O3 -lOpenCL

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-06-06Benchmark: Monte-Carlo OpenCLTITAN RTXRTX 2080 TiGTX 1660 SUPERGTX 980 TiGTX 1070GTX 980GTX 1070 TiGTX 970GTX 1060GTX 10802004006008001000SE +/- 1.20, N = 8SE +/- 0.60, N = 8SE +/- 0.49, N = 8SE +/- 0.29, N = 8SE +/- 0.41, N = 7SE +/- 0.37, N = 8SE +/- 0.22, N = 8SE +/- 1.03, N = 7SE +/- 0.45, N = 7SE +/- 0.48, N = 7277.23319.91594.44660.55697.55749.29754.28841.19894.08921.681. (CXX) g++ options: -O3 -lOpenCL
OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-06-06Benchmark: Monte-Carlo OpenCLTITAN RTXRTX 2080 TiGTX 1660 SUPERGTX 980 TiGTX 1070GTX 980GTX 1070 TiGTX 970GTX 1060GTX 1080160320480640800Min: 272.96 / Avg: 277.23 / Max: 281.8Min: 317.77 / Avg: 319.91 / Max: 322.74Min: 592.8 / Avg: 594.44 / Max: 596.19Min: 659.72 / Avg: 660.55 / Max: 662.11Min: 696.04 / Avg: 697.55 / Max: 698.77Min: 748.06 / Avg: 749.29 / Max: 751.32Min: 753.5 / Avg: 754.28 / Max: 755.35Min: 837.77 / Avg: 841.19 / Max: 845.04Min: 892.77 / Avg: 894.08 / Max: 895.67Min: 919.42 / Avg: 921.68 / Max: 923.271. (CXX) g++ options: -O3 -lOpenCL

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 MyocyteGTX 1660 SUPERRTX 2080 TiTITAN RTXGTX 1080GTX 1070GTX 1060GTX 1070 TiGTX 970GTX 980GTX 980 Ti1224364860SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.24, N = 3SE +/- 0.26, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 334.1335.2435.7738.0038.0038.1142.0848.9250.5555.171. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL MyocyteGTX 1660 SUPERRTX 2080 TiTITAN RTXGTX 1080GTX 1070GTX 1060GTX 1070 TiGTX 970GTX 980GTX 980 Ti1122334455Min: 34.02 / Avg: 34.13 / Max: 34.29Min: 35.16 / Avg: 35.24 / Max: 35.38Min: 35.66 / Avg: 35.77 / Max: 35.93Min: 37.88 / Avg: 38 / Max: 38.13Min: 37.86 / Avg: 38 / Max: 38.15Min: 37.82 / Avg: 38.11 / Max: 38.28Min: 41.72 / Avg: 42.08 / Max: 42.54Min: 48.66 / Avg: 48.92 / Max: 49.43Min: 50.44 / Avg: 50.55 / Max: 50.63Min: 55.1 / Avg: 55.17 / Max: 55.241. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle FilterTITAN RTXRTX 2080 TiGTX 1080GTX 1070 TiGTX 1070GTX 980 TiGTX 1660 SUPERGTX 980GTX 1060GTX 9703691215SE +/- 0.008, N = 8SE +/- 0.009, N = 8SE +/- 0.018, N = 6SE +/- 0.006, N = 6SE +/- 0.019, N = 6SE +/- 0.092, N = 5SE +/- 0.009, N = 5SE +/- 0.058, N = 4SE +/- 0.012, N = 4SE +/- 0.026, N = 44.2504.4146.4577.7918.20510.07111.48211.77412.00213.1851. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle FilterTITAN RTXRTX 2080 TiGTX 1080GTX 1070 TiGTX 1070GTX 980 TiGTX 1660 SUPERGTX 980GTX 1060GTX 97048121620Min: 4.21 / Avg: 4.25 / Max: 4.28Min: 4.37 / Avg: 4.41 / Max: 4.44Min: 6.42 / Avg: 6.46 / Max: 6.53Min: 7.76 / Avg: 7.79 / Max: 7.8Min: 8.16 / Avg: 8.21 / Max: 8.28Min: 9.84 / Avg: 10.07 / Max: 10.37Min: 11.46 / Avg: 11.48 / Max: 11.5Min: 11.63 / Avg: 11.77 / Max: 11.87Min: 11.97 / Avg: 12 / Max: 12.02Min: 13.11 / Avg: 13.18 / Max: 13.231. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: NVIDIA CUDA GPU MyocyteGTX 1660 SUPERRTX 2080 TiTITAN RTXGTX 1060GTX 1070GTX 1080GTX 1070 TiGTX 970GTX 980GTX 980 Ti1428425670SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.22, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 339.9140.3540.3742.7042.9643.2047.7256.5059.4764.761. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: NVIDIA CUDA GPU MyocyteGTX 1660 SUPERRTX 2080 TiTITAN RTXGTX 1060GTX 1070GTX 1080GTX 1070 TiGTX 970GTX 980GTX 980 Ti1326395265Min: 39.8 / Avg: 39.91 / Max: 40.1Min: 40.24 / Avg: 40.35 / Max: 40.42Min: 40.32 / Avg: 40.37 / Max: 40.43Min: 42.58 / Avg: 42.7 / Max: 42.8Min: 42.72 / Avg: 42.96 / Max: 43.12Min: 43.09 / Avg: 43.2 / Max: 43.33Min: 47.43 / Avg: 47.72 / Max: 48.15Min: 56.48 / Avg: 56.5 / Max: 56.52Min: 59.4 / Avg: 59.47 / Max: 59.51Min: 64.75 / Avg: 64.76 / Max: 64.771. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl

Darktable

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Boat - Acceleration: OpenCLTITAN RTXRTX 2080 TiGTX 1080GTX 1660 SUPERGTX 1070GTX 1070 TiGTX 980 TiGTX 1060GTX 980GTX 9700.971.942.913.884.85SE +/- 0.008, N = 9SE +/- 0.007, N = 10SE +/- 0.006, N = 9SE +/- 0.010, N = 9SE +/- 0.009, N = 9SE +/- 0.012, N = 8SE +/- 0.013, N = 8SE +/- 0.012, N = 8SE +/- 0.014, N = 8SE +/- 0.014, N = 71.4911.4922.5462.6072.7092.7413.0173.5173.7644.311
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Boat - Acceleration: OpenCLTITAN RTXRTX 2080 TiGTX 1080GTX 1660 SUPERGTX 1070GTX 1070 TiGTX 980 TiGTX 1060GTX 980GTX 970246810Min: 1.46 / Avg: 1.49 / Max: 1.54Min: 1.47 / Avg: 1.49 / Max: 1.53Min: 2.52 / Avg: 2.55 / Max: 2.57Min: 2.58 / Avg: 2.61 / Max: 2.67Min: 2.68 / Avg: 2.71 / Max: 2.78Min: 2.72 / Avg: 2.74 / Max: 2.82Min: 3 / Avg: 3.02 / Max: 3.11Min: 3.49 / Avg: 3.52 / Max: 3.6Min: 3.67 / Avg: 3.76 / Max: 3.8Min: 4.28 / Avg: 4.31 / Max: 4.39

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Masskrug - Acceleration: OpenCLRTX 2080 TiTITAN RTXGTX 1070GTX 1080GTX 1070 TiGTX 1660 SUPERGTX 1060GTX 980 TiGTX 980GTX 9701.03732.07463.11194.14925.1865SE +/- 0.009, N = 9SE +/- 0.011, N = 8SE +/- 0.008, N = 8SE +/- 0.011, N = 8SE +/- 0.016, N = 8SE +/- 0.011, N = 8SE +/- 0.009, N = 8SE +/- 0.012, N = 8SE +/- 0.023, N = 7SE +/- 0.022, N = 72.7552.7922.9742.9742.9983.0303.1693.2274.5434.610
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Masskrug - Acceleration: OpenCLRTX 2080 TiTITAN RTXGTX 1070GTX 1080GTX 1070 TiGTX 1660 SUPERGTX 1060GTX 980 TiGTX 980GTX 970246810Min: 2.72 / Avg: 2.75 / Max: 2.79Min: 2.76 / Avg: 2.79 / Max: 2.84Min: 2.94 / Avg: 2.97 / Max: 3.01Min: 2.92 / Avg: 2.97 / Max: 3.01Min: 2.95 / Avg: 3 / Max: 3.07Min: 2.98 / Avg: 3.03 / Max: 3.08Min: 3.12 / Avg: 3.17 / Max: 3.2Min: 3.18 / Avg: 3.23 / Max: 3.29Min: 4.45 / Avg: 4.54 / Max: 4.64Min: 4.51 / Avg: 4.61 / Max: 4.7

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Room - Acceleration: OpenCLRTX 2080 TiTITAN RTXGTX 1660 SUPERGTX 1080GTX 1070GTX 1070 TiGTX 1060GTX 980 TiGTX 980GTX 9700.6441.2881.9322.5763.22SE +/- 0.002, N = 11SE +/- 0.002, N = 11SE +/- 0.002, N = 10SE +/- 0.003, N = 10SE +/- 0.004, N = 10SE +/- 0.001, N = 10SE +/- 0.002, N = 10SE +/- 0.002, N = 10SE +/- 0.004, N = 8SE +/- 0.017, N = 80.7590.7671.0821.0951.1121.1661.3011.3982.7302.862
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Room - Acceleration: OpenCLRTX 2080 TiTITAN RTXGTX 1660 SUPERGTX 1080GTX 1070GTX 1070 TiGTX 1060GTX 980 TiGTX 980GTX 970246810Min: 0.75 / Avg: 0.76 / Max: 0.77Min: 0.76 / Avg: 0.77 / Max: 0.77Min: 1.07 / Avg: 1.08 / Max: 1.09Min: 1.09 / Avg: 1.1 / Max: 1.11Min: 1.1 / Avg: 1.11 / Max: 1.13Min: 1.16 / Avg: 1.17 / Max: 1.17Min: 1.3 / Avg: 1.3 / Max: 1.31Min: 1.39 / Avg: 1.4 / Max: 1.42Min: 2.72 / Avg: 2.73 / Max: 2.76Min: 2.82 / Avg: 2.86 / Max: 2.93

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Rack - Acceleration: OpenCLRTX 2080 TiTITAN RTXGTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 980GTX 970GTX 980 Ti0.03690.07380.11070.14760.1845SE +/- 0.001, N = 13SE +/- 0.000, N = 13SE +/- 0.000, N = 13SE +/- 0.001, N = 13SE +/- 0.000, N = 13SE +/- 0.001, N = 15SE +/- 0.001, N = 13SE +/- 0.001, N = 13SE +/- 0.001, N = 15SE +/- 0.001, N = 150.1000.1030.1040.1110.1170.1170.1240.1620.1630.164
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Rack - Acceleration: OpenCLRTX 2080 TiTITAN RTXGTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 1060GTX 980GTX 970GTX 980 Ti12345Min: 0.1 / Avg: 0.1 / Max: 0.11Min: 0.1 / Avg: 0.1 / Max: 0.11Min: 0.1 / Avg: 0.1 / Max: 0.11Min: 0.11 / Avg: 0.11 / Max: 0.12Min: 0.12 / Avg: 0.12 / Max: 0.12Min: 0.11 / Avg: 0.12 / Max: 0.13Min: 0.12 / Avg: 0.12 / Max: 0.13Min: 0.16 / Avg: 0.16 / Max: 0.17Min: 0.16 / Avg: 0.16 / Max: 0.18Min: 0.16 / Avg: 0.16 / Max: 0.18

80 Results Shown

GPU Temperature Monitor:
  Phoronix Test Suite System Monitoring:
    Celsius
    Watts
NeatBench
PlaidML:
  Yes - Inference - Mobilenet - OpenCL
  No - Training - Mobilenet - OpenCL
  No - Inference - Mobilenet - OpenCL
  No - Inference - Inception V3 - OpenCL
  No - Inference - VGG16 - OpenCL
  No - Inference - DenseNet 201 - OpenCL
  No - Inference - IMDB LSTM - OpenCL
  No - Inference - VGG19 - OpenCL
cl-mem
cl-mem:
  Read
  Write
  Copy
clpeak
clpeak
Mixbench:
  OpenCL - Single Precision
  NVIDIA CUDA - Single Precision
  OpenCL - Double Precision
  NVIDIA CUDA - Double Precision
ArrayFire
ViennaCL
Mixbench:
  NVIDIA CUDA - Half Precision
  Single-Precision Float
  Double-Precision Double
Mixbench
clpeak:
  Single-Precision Float
  Double-Precision Double
Mixbench
Mixbench
Mixbench
clpeak
LuxCoreRender OpenCL:
  LuxCore Benchmark
  Rainbow Colors and Prism
  DLSC
  Food
LeelaChessZero
GROMACS
FAHBench
GROMACS
Meta Performance Per Watts:
  Performance Per Watts
  GPU
MandelGPU
OctaneBench
OctaneBench
Darmstadt Automotive Parallel Heterogeneous Suite:
  OpenCL - Points2Image
  NVIDIA CUDA - Euclidean Cluster
  NVIDIA CUDA - Points2Image
Darmstadt Automotive Parallel Heterogeneous Suite:
  OpenCL - Euclidean Cluster
  OpenCL - NDT Mapping
Darmstadt Automotive Parallel Heterogeneous Suite:
  OpenCL - Euclidean Cluster
  OpenCL - NDT Mapping
  NVIDIA CUDA - NDT Mapping
NAMD CUDA:
  GPU Temp Monitor:
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
NAMD CUDA
ArrayFire
FinanceBench:
  Black-Scholes OpenCL
  Monte-Carlo OpenCL
Rodinia:
  OpenCL Myocyte
  OpenCL Particle Filter
  NVIDIA CUDA GPU Myocyte
Darktable:
  Boat - OpenCL
  Masskrug - OpenCL
  Server Room - OpenCL
  Server Rack - OpenCL