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 Computefahbench: gromacs-gpu: Water Benchmarknamd-cuda: ATPase Simulation - 327,506 Atomsmixbench: OpenCL - Single Precisionmixbench: OpenCL - Double Precisionmixbench: OpenCL - Integermixbench: NVIDIA CUDA - Single Precisionmixbench: NVIDIA CUDA - Double Precisionmixbench: NVIDIA CUDA - Half Precisionmixbench: NVIDIA CUDA - Integeroctanebench: Total Scoreluxcorerender-cl: LuxCore Benchmarkluxcorerender-cl: DLSCluxcorerender-cl: Rainbow Colors and Prismluxcorerender-cl: Foodrodinia: OpenCL Myocyterodinia: OpenCL Particle Filterrodinia: NVIDIA CUDA GPU Myocytearrayfire: BLAS OpenCLarrayfire: Conjugate Gradient OpenCLclpeak: Global Memory Bandwidthclpeak: Single-Precision Floatclpeak: Double-Precision Doubleclpeak: Integer Compute INTneatbench: GPUfinancebench: Black-Scholes OpenCLfinancebench: Monte-Carlo OpenCLplaidml: Yes - Inference - Mobilenet - OpenCLplaidml: No - Training - Mobilenet - OpenCLplaidml: No - Inference - Mobilenet - OpenCLplaidml: No - Inference - Inception V3 - OpenCLplaidml: No - Inference - DenseNet 201 - OpenCLplaidml: No - Inference - IMDB LSTM - OpenCLplaidml: No - Inference - VGG16 - OpenCLplaidml: No - Inference - VGG19 - OpenCLlczero: OpenCLdaphne: OpenCL - Euclidean Clusterdaphne: OpenCL - NDT Mappingdaphne: OpenCL - Points2Imagedaphne: NVIDIA CUDA - Euclidean Clusterdaphne: NVIDIA CUDA - NDT Mappingdaphne: NVIDIA CUDA - Points2Imagedarktable: Boat - OpenCLdarktable: Masskrug - OpenCLdarktable: Server Room - OpenCLdarktable: Server Rack - OpenCLcl-mem: Readcl-mem: Writecl-mem: Copymandelgpu: GPUviennacl: OpenCL LU FactorizationTITAN RTXGTX 1070 TiGTX 970GTX 1660 SUPERGTX 980GTX 1070GTX 1080GTX 980 TiRTX 2080 TiGTX 1060292.15937.1170.1919515032.47454.3716979.9915103.61413.6632084.7914426.11324.5467694.995.9812.732.2335.7674.25040.3735040.581.666530.7914178.85548.2613783.9348.15.701277.2321212856.83198.372544.67355.85227.30775.69248.79196.63224242279.14343.6112538.2457870811434.17590.6329401.5140702211.4912.7920.7670.103567.7491.7322.7480798376.676.6410137.13934.2590.223007018.90241.992157.316647.94240.92121.421887.61141.6676552.242.555.380.9842.0817.79147.7224304.763.814198.186788.40242.702076.457.298754.2840121485.7899.641070.90159.43108.23331.84116.8992.8799472223.78349.1213281.7676294191204.772.7412.9981.1660.117206.2198.2184.1194875210.869.183890.84602.9950.360714141.79137.201215.7596.2008641.461.734.810.6748.92013.18556.4982457.735.400144.563874.98137.481145.1415.414.196841.188581910.9173.25716.8297.8373.89203.0864.5351.1451631928.88324.7011485.504137045979.334.3114.6102.8620.163144.6136.3125.9113624502.060.1979135.60734.6290.231775462.59144.305432.405440.74144.1410862.904866.61135.6571342.262.635.611.0934.12711.48239.9051765.012.642276.354440.23172.494280.5515.271594.4380041380.68111.391080.11135.31100.51298.7786.6168.8173662175.96320.9713933.2739481651466.24563.1329306.1275059072.6073.0301.0820.104296.6240.7240.2200846066.468.1532102.36683.2710.335664683.96159.331389.90110.8143211.631.935.110.7850.55311.77459.4742826.164.904165.294472.77159.721306.5117.312.101749.2880021053.4980.47810.50109.5082.21228.4672.2156.6062651976.41333.5211735.8414852981019.043.7644.5432.7300.162165.3159.1145.0121139566.861.9362139.49744.0520.240226476.92224.822019.086174.80225.05113.321764.63132.8393542.122.466.620.9238.0038.20542.9552905.884.077197.206093.02223.601695.7921.58.968697.5462911392.46103.791052.64151.71108.46314.8399.8879.1297502243.10345.4413045.8573943511231.442.7092.9741.1120.117206.2199.5183.3184077179.766.2068151.56794.6340.224268520.97296.662655.588182.72296.09149.352326.09148.4720092.132.454.230.9937.9986.45743.1975091.863.387223.148218.62298.462430.5524.66.981921.6841521665.7299.821154.13190.14112.28398.82131.34103.83126622345.38348.2913141.7294623901218.562.5462.9741.0950.111229.6225.6207.4231826397.870.6880115.77533.8570.291385844.90197.441711.03143.5214322.002.366.590.9255.17410.07164.7582438.973.622264.745512.89197.231612.529.596660.5482491290.4889.281029.36138.3399.84267.8890.7471.1882831908.81339.2111829.864624498976.753.0173.2271.3980.164266.0245.9217.8148357386.164.5358290.72497.1360.1908216061.09436.8116323.9414734.03409.4631492.2414103.79310.8143994.755.6712.332.2335.2354.41440.3524836.621.677506.9013536.25522.2213629.376.020319.9141272751.85187.732406.16353.54212.11753.75237.29187.92218392268.23350.3713045.0309239411436.62606.7528816.8178368951.4922.7550.7590.100545.7449.5324.0448915216.675.7871102.26833.1810.309574355.28150.481354.144167.41151.6375.771187.7291.7329061.531.785.410.6538.11412.00242.7032856.385.000147.664110.71150.681275.1213.340894.084865987.0783.52775.73108.5679.13227.2371.7856.6259332076.48333.4711766.2918261271253.433.5173.1691.3010.124154.4148.1138.5130290433.861.6530OpenBenchmarking.org

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 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 106060120180240300SE +/- 0.85, N = 3SE +/- 1.17, N = 3SE +/- 0.33, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.17, N = 3SE +/- 0.41, N = 3SE +/- 0.06, N = 3SE +/- 0.46, N = 3SE +/- 0.16, N = 3292.16290.72115.78102.3790.85135.61151.57137.14139.50102.27

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 RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 1060246810SE +/- 0.005, N = 3SE +/- 0.020, N = 2SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.007, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 37.1177.1363.8573.2712.9954.6294.6344.2594.0523.1811. (CXX) g++ options: -O3 -lpthread -ldl -lrt -lm

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 RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10600.08120.16240.24360.32480.406SE +/- 0.00134, N = 4SE +/- 0.00046, N = 4SE +/- 0.00163, N = 4SE +/- 0.00291, N = 3SE +/- 0.00170, N = 3SE +/- 0.00026, N = 4SE +/- 0.00174, N = 4SE +/- 0.00101, N = 4SE +/- 0.00276, N = 4SE +/- 0.00077, N = 30.191950.190820.291380.335660.360710.231770.224260.223000.240220.30957

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 RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10603K6K9K12K15KSE +/- 619.26, N = 15SE +/- 66.33, N = 15SE +/- 4.87, N = 13SE +/- 23.81, N = 15SE +/- 0.70, N = 11SE +/- 8.38, N = 13SE +/- 11.17, N = 14SE +/- 2.95, N = 12SE +/- 12.17, N = 15SE +/- 2.22, N = 1315032.4716061.095844.904683.964141.795462.598520.977018.906476.924355.281. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: Double PrecisionTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 1060100200300400500SE +/- 1.13, N = 14SE +/- 0.56, N = 15SE +/- 0.12, N = 13SE +/- 0.18, N = 13SE +/- 0.16, N = 13SE +/- 0.22, N = 13SE +/- 0.15, N = 14SE +/- 0.08, N = 14SE +/- 0.06, N = 13SE +/- 0.23, N = 13454.37436.81197.44159.33137.20144.30296.66241.99224.82150.481. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: IntegerTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10604K8K12K16K20KSE +/- 63.55, N = 15SE +/- 11.06, N = 14SE +/- 1.27, N = 13SE +/- 5.50, N = 15SE +/- 0.40, N = 13SE +/- 7.30, N = 13SE +/- 6.51, N = 15SE +/- 0.83, N = 14SE +/- 0.96, N = 13SE +/- 2.70, N = 1416979.9916323.941711.031389.901215.755432.402655.582157.312019.081354.141. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Single PrecisionTITAN RTXRTX 2080 TiGTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10603K6K9K12K15KSE +/- 595.40, N = 15SE +/- 556.93, N = 15SE +/- 0.25, N = 13SE +/- 3.04, N = 11SE +/- 2.31, N = 11SE +/- 30.05, N = 15SE +/- 1.19, N = 915103.6114734.035440.748182.726647.946174.804167.411. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Double PrecisionTITAN RTXRTX 2080 TiGTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 106090180270360450SE +/- 15.67, N = 15SE +/- 10.76, N = 15SE +/- 0.66, N = 15SE +/- 0.03, N = 11SE +/- 0.35, N = 11SE +/- 0.10, N = 11SE +/- 0.00, N = 9413.66409.46144.14296.09240.92225.05151.631. (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 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.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

OctaneBench

OctaneBench is a test of the OctaneRender on the GPU and requires the use of NVIDIA CUDA. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterOctaneBench 4.00cTotal ScoreTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 106070140210280350324.55310.81143.52110.8196.20135.66148.47141.67132.8491.73

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 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10601.12282.24563.36844.49125.614SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 12SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.994.752.001.631.462.262.132.242.121.53MIN: 0.32 / MAX: 5.69MIN: 0.32 / MAX: 5.39MIN: 0.27 / MAX: 2.27MIN: 0.27 / MAX: 1.83MIN: 0.12 / MAX: 1.68MIN: 0.27 / MAX: 2.54MIN: 0.27 / MAX: 2.39MIN: 0.27 / MAX: 2.52MIN: 0.27 / MAX: 2.4MIN: 0.23 / MAX: 1.72

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: DLSCTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10601.34552.6914.03655.3826.7275SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, 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 = 35.985.672.361.931.732.632.452.552.461.78MIN: 4.3 / MAX: 6.07MIN: 5.22 / MAX: 5.74MIN: 2.29 / MAX: 2.42MIN: 1.74 / MAX: 1.98MIN: 0.43 / MAX: 1.81MIN: 2.55 / MAX: 2.68MIN: 2.29 / MAX: 2.5MIN: 2.31 / MAX: 2.62MIN: 2.29 / MAX: 2.51MIN: 1.64 / MAX: 1.82

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: Rainbow Colors and PrismTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10603691215SE +/- 0.18, N = 4SE +/- 0.02, N = 4SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 12SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.13, N = 12SE +/- 0.01, N = 3SE +/- 0.01, N = 312.7312.336.595.114.815.614.235.386.625.41MIN: 11.95 / MAX: 14MIN: 11.33 / MAX: 12.81MIN: 5.89 / MAX: 6.88MIN: 4.25 / MAX: 5.29MIN: 1.5 / MAX: 5.09MIN: 5.07 / MAX: 5.86MIN: 3.57 / MAX: 4.38MIN: 1.63 / MAX: 5.69MIN: 5.17 / MAX: 6.91MIN: 4.66 / MAX: 5.64

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: FoodTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10600.50181.00361.50542.00722.509SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 12SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.232.230.920.780.671.090.990.980.920.65MIN: 0.25 / MAX: 2.7MIN: 0.32 / MAX: 2.65MIN: 0.23 / MAX: 1.06MIN: 0.23 / MAX: 0.88MIN: 0.12 / MAX: 0.81MIN: 0.25 / MAX: 1.26MIN: 0.24 / MAX: 1.15MIN: 0.24 / MAX: 1.14MIN: 0.23 / MAX: 1.06MIN: 0.22 / MAX: 0.74

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL MyocyteTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10601224364860SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.26, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.24, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 335.7735.2455.1750.5548.9234.1338.0042.0838.0038.111. (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 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10603691215SE +/- 0.008, N = 8SE +/- 0.009, N = 8SE +/- 0.092, N = 5SE +/- 0.058, N = 4SE +/- 0.026, N = 4SE +/- 0.009, N = 5SE +/- 0.018, N = 6SE +/- 0.006, N = 6SE +/- 0.019, N = 6SE +/- 0.012, N = 44.2504.41410.07111.77413.18511.4826.4577.7918.20512.0021. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: NVIDIA CUDA GPU MyocyteTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10601428425670SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.22, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 340.3740.3564.7659.4756.5039.9143.2047.7242.9642.701. (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.orgGFLOPS, More Is BetterArrayFire 3.7Test: BLAS OpenCLTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 106011002200330044005500SE +/- 17.72, N = 4SE +/- 13.92, N = 4SE +/- 8.83, N = 4SE +/- 10.36, N = 4SE +/- 1.45, N = 4SE +/- 3.01, N = 4SE +/- 10.96, N = 4SE +/- 1.17, N = 4SE +/- 4.04, N = 4SE +/- 2.50, N = 45040.584836.622438.972826.162457.731765.015091.864304.762905.882856.381. (CXX) g++ options: -rdynamic

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient OpenCLTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10601.2152.433.6454.866.075SE +/- 0.001, N = 10SE +/- 0.005, N = 10SE +/- 0.006, N = 10SE +/- 0.002, N = 10SE +/- 0.002, N = 9SE +/- 0.001, N = 10SE +/- 0.002, N = 10SE +/- 0.001, N = 10SE +/- 0.004, N = 10SE +/- 0.003, N = 101.6661.6773.6224.9045.4002.6423.3873.8144.0775.0001. (CXX) g++ options: -rdynamic

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 RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 1060110220330440550SE +/- 0.05, N = 13SE +/- 0.46, N = 12SE +/- 0.13, N = 15SE +/- 0.01, N = 13SE +/- 0.02, N = 12SE +/- 0.16, N = 12SE +/- 0.11, N = 15SE +/- 0.01, N = 11SE +/- 0.04, N = 11SE +/- 0.04, N = 10530.79506.90264.74165.29144.56276.35223.14198.18197.20147.661. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10603K6K9K12K15KSE +/- 206.22, N = 15SE +/- 177.79, N = 15SE +/- 62.62, N = 15SE +/- 36.45, N = 13SE +/- 48.39, N = 15SE +/- 43.47, N = 15SE +/- 104.59, N = 15SE +/- 3.15, N = 13SE +/- 112.12, N = 15SE +/- 76.28, N = 1514178.8513536.255512.894472.773874.984440.238218.626788.406093.024110.711. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 1060120240360480600SE +/- 1.32, N = 3SE +/- 1.30, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.60, N = 3SE +/- 0.06, N = 3SE +/- 0.38, N = 4SE +/- 0.23, N = 3548.26522.22197.23159.72137.48172.49298.46242.70223.60150.681. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10603K6K9K12K15KSE +/- 169.21, N = 15SE +/- 23.37, N = 12SE +/- 8.22, N = 9SE +/- 1.81, N = 8SE +/- 8.78, N = 10SE +/- 6.44, N = 12SE +/- 7.00, N = 10SE +/- 0.30, N = 10SE +/- 6.03, N = 12SE +/- 10.83, N = 1513783.9313629.371612.521306.511145.144280.552430.552076.451695.791275.121. (CXX) g++ options: -O3 -rdynamic -lOpenCL

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 980GTX 970GTX 1080GTX 10701122334455SE +/- 0.02, N = 13SE +/- 0.04, N = 13SE +/- 0.05, N = 13SE +/- 0.04, N = 13SE +/- 0.13, N = 1348.117.315.424.621.5

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 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 106048121620SE +/- 0.002, N = 15SE +/- 0.002, N = 14SE +/- 0.156, N = 15SE +/- 0.023, N = 15SE +/- 0.003, N = 15SE +/- 0.001, N = 14SE +/- 0.003, N = 15SE +/- 0.003, N = 15SE +/- 0.209, N = 15SE +/- 0.317, N = 155.7016.0209.59612.10114.19615.2716.9817.2988.96813.3401. (CXX) g++ options: -O3 -lOpenCL

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-06-06Benchmark: Monte-Carlo OpenCLTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10602004006008001000SE +/- 1.20, N = 8SE +/- 0.60, N = 8SE +/- 0.29, N = 8SE +/- 0.37, N = 8SE +/- 1.03, N = 7SE +/- 0.49, N = 8SE +/- 0.48, N = 7SE +/- 0.22, N = 8SE +/- 0.41, N = 7SE +/- 0.45, N = 7277.23319.91660.55749.29841.19594.44921.68754.28697.55894.081. (CXX) g++ options: -O3 -lOpenCL

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10606001200180024003000SE +/- 1.27, N = 8SE +/- 1.82, N = 7SE +/- 2.34, N = 5SE +/- 0.78, N = 6SE +/- 0.24, N = 6SE +/- 0.83, N = 7SE +/- 1.79, N = 7SE +/- 0.31, N = 7SE +/- 3.20, N = 7SE +/- 2.10, N = 62856.832751.851290.481053.49910.911380.681665.721485.781392.46987.07

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Training - Network: Mobilenet - Device: OpenCLTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10604080120160200SE +/- 0.21, N = 3SE +/- 0.19, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3198.37187.7389.2880.4773.25111.3999.8299.64103.7983.52

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10605001000150020002500SE +/- 2.36, N = 8SE +/- 1.58, N = 8SE +/- 0.66, N = 8SE +/- 0.69, N = 7SE +/- 0.28, N = 7SE +/- 1.11, N = 8SE +/- 0.60, N = 8SE +/- 0.27, N = 8SE +/- 1.14, N = 8SE +/- 0.68, N = 72544.672406.161029.36810.50716.821080.111154.131070.901052.64775.73

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 106080160240320400SE +/- 0.19, N = 3SE +/- 0.25, N = 3SE +/- 0.02, N = 3SE +/- 0.62, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.23, N = 3SE +/- 0.19, N = 3355.85353.54138.33109.5097.83135.31190.14159.43151.71108.56

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 106050100150200250SE +/- 0.25, N = 3SE +/- 0.21, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.00, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3227.30212.1199.8482.2173.89100.51112.28108.23108.4679.13

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10602004006008001000SE +/- 0.80, N = 5SE +/- 1.41, N = 5SE +/- 0.57, N = 4SE +/- 0.41, N = 4SE +/- 0.11, N = 4SE +/- 0.17, N = 4SE +/- 0.35, N = 4SE +/- 0.07, N = 4SE +/- 0.44, N = 4SE +/- 0.09, N = 4775.69753.75267.88228.46203.08298.77398.82331.84314.83227.23

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 106050100150200250SE +/- 0.54, N = 4SE +/- 0.64, N = 3SE +/- 0.87, N = 3SE +/- 0.21, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.42, N = 3SE +/- 0.10, N = 3SE +/- 0.18, N = 3SE +/- 0.22, N = 3248.79237.2990.7472.2164.5386.61131.34116.8999.8871.78

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10604080120160200SE +/- 0.42, N = 4SE +/- 0.60, N = 3SE +/- 1.20, N = 3SE +/- 0.61, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.31, N = 3SE +/- 0.05, N = 3SE +/- 0.13, N = 3SE +/- 0.16, N = 3196.63187.9271.1856.6051.1468.81103.8392.8779.1256.62

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 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10605K10K15K20K25KSE +/- 20.50, N = 3SE +/- 55.16, N = 3SE +/- 28.99, N = 3SE +/- 43.89, N = 3SE +/- 36.50, N = 3SE +/- 54.30, N = 3SE +/- 57.21, N = 3SE +/- 85.75, N = 3SE +/- 28.32, N = 322424218398283626551637366126629947975059331. (CXX) g++ options: -flto -pthread

Darmstadt Automotive Parallel Heterogeneous Suite

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

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenCL - Kernel: Euclidean ClusterTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10605001000150020002500SE +/- 9.59, N = 5SE +/- 5.93, N = 5SE +/- 5.50, N = 4SE +/- 2.91, N = 5SE +/- 1.83, N = 4SE +/- 3.67, N = 5SE +/- 5.86, N = 5SE +/- 0.67, N = 5SE +/- 7.62, N = 5SE +/- 3.33, N = 52279.142268.231908.811976.411928.882175.962345.382223.782243.102076.481. (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 MappingTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 106080160240320400SE +/- 1.41, N = 3SE +/- 0.87, N = 3SE +/- 2.08, N = 3SE +/- 0.61, N = 3SE +/- 0.82, N = 3SE +/- 2.54, N = 3SE +/- 1.38, N = 3SE +/- 2.01, N = 3SE +/- 2.24, N = 3SE +/- 0.67, N = 3343.61350.37339.21333.52324.70320.97348.29349.12345.44333.471. (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: Points2ImageTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10603K6K9K12K15KSE +/- 36.56, N = 3SE +/- 70.09, N = 3SE +/- 62.20, N = 3SE +/- 75.04, N = 3SE +/- 123.30, N = 3SE +/- 16.13, N = 3SE +/- 90.00, N = 3SE +/- 112.38, N = 3SE +/- 180.15, N = 3SE +/- 136.54, N = 312538.2513045.0311829.8611735.8411485.5013933.2713141.7313281.7713045.8611766.291. (CXX) g++ options: -O3 -m64 -std=c++11 -lcudadevrt -lcudart_static -lrt -lpthread -ldl

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: NVIDIA CUDA - Kernel: Euclidean ClusterTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 106030060090012001500SE +/- 2.28, N = 4SE +/- 0.89, N = 4SE +/- 15.93, N = 3SE +/- 1.10, N = 3SE +/- 2.99, N = 3SE +/- 0.96, N = 4SE +/- 2.36, N = 3SE +/- 7.67, N = 3SE +/- 4.73, N = 3SE +/- 8.38, N = 31434.171436.62976.751019.04979.331466.241218.561204.771231.441253.431. (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 MappingTITAN RTXRTX 2080 TiGTX 1660 SUPER130260390520650SE +/- 5.64, N = 3SE +/- 2.73, N = 3SE +/- 4.39, N = 3590.63606.75563.131. (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: Points2ImageTITAN RTXRTX 2080 TiGTX 1660 SUPER6K12K18K24K30KSE +/- 203.08, N = 3SE +/- 496.68, N = 3SE +/- 284.42, N = 329401.5128816.8229306.131. (CXX) g++ options: -O3 -m64 -std=c++11 -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 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10600.971.942.913.884.85SE +/- 0.008, N = 9SE +/- 0.007, N = 10SE +/- 0.013, N = 8SE +/- 0.014, N = 8SE +/- 0.014, N = 7SE +/- 0.010, N = 9SE +/- 0.006, N = 9SE +/- 0.012, N = 8SE +/- 0.009, N = 9SE +/- 0.012, N = 81.4911.4923.0173.7644.3112.6072.5462.7412.7093.517

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Masskrug - Acceleration: OpenCLTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10601.03732.07463.11194.14925.1865SE +/- 0.011, N = 8SE +/- 0.009, N = 9SE +/- 0.012, N = 8SE +/- 0.023, N = 7SE +/- 0.022, N = 7SE +/- 0.011, N = 8SE +/- 0.011, N = 8SE +/- 0.016, N = 8SE +/- 0.008, N = 8SE +/- 0.009, N = 82.7922.7553.2274.5434.6103.0302.9742.9982.9743.169

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Room - Acceleration: OpenCLTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10600.6441.2881.9322.5763.22SE +/- 0.002, N = 11SE +/- 0.002, N = 11SE +/- 0.002, N = 10SE +/- 0.004, N = 8SE +/- 0.017, N = 8SE +/- 0.002, N = 10SE +/- 0.003, N = 10SE +/- 0.001, N = 10SE +/- 0.004, N = 10SE +/- 0.002, N = 100.7670.7591.3982.7302.8621.0821.0951.1661.1121.301

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Rack - Acceleration: OpenCLTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 10600.03690.07380.11070.14760.1845SE +/- 0.000, N = 13SE +/- 0.001, N = 13SE +/- 0.001, N = 15SE +/- 0.001, N = 13SE +/- 0.001, N = 15SE +/- 0.000, N = 13SE +/- 0.001, N = 13SE +/- 0.000, N = 13SE +/- 0.001, N = 15SE +/- 0.001, N = 130.1030.1000.1640.1620.1630.1040.1110.1170.1170.124

cl-mem

A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 1060120240360480600SE +/- 0.13, N = 9SE +/- 0.13, N = 8SE +/- 0.17, N = 6SE +/- 0.08, N = 5SE +/- 0.02, N = 4SE +/- 0.07, N = 7SE +/- 0.08, N = 6SE +/- 0.03, N = 6SE +/- 0.03, N = 6SE +/- 0.02, N = 5567.7545.7266.0165.3144.6296.6229.6206.2206.2154.41. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 1060110220330440550SE +/- 0.97, N = 9SE +/- 0.21, N = 8SE +/- 0.14, N = 6SE +/- 0.20, N = 5SE +/- 0.15, N = 4SE +/- 0.36, N = 7SE +/- 0.09, N = 6SE +/- 0.03, N = 6SE +/- 0.03, N = 6SE +/- 0.02, N = 5491.7449.5245.9159.1136.3240.7225.6198.2199.5148.11. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 106070140210280350SE +/- 0.08, N = 9SE +/- 0.10, N = 8SE +/- 0.07, N = 6SE +/- 0.02, N = 5SE +/- 0.02, N = 4SE +/- 0.05, N = 7SE +/- 0.02, N = 6SE +/- 0.03, N = 6SE +/- 0.02, N = 6SE +/- 0.02, N = 5322.7324.0217.8145.0125.9240.2207.4184.1183.3138.51. (CC) gcc options: -O2 -flto -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 RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 1060100M200M300M400M500MSE +/- 2829613.77, N = 10SE +/- 2765042.11, N = 10SE +/- 353641.55, N = 6SE +/- 4075144.18, N = 15SE +/- 113731.50, N = 5SE +/- 173522.04, N = 7SE +/- 528438.95, N = 8SE +/- 459096.61, N = 7SE +/- 327094.24, N = 7SE +/- 339240.54, N = 6480798376.6448915216.6148357386.1121139566.8113624502.0200846066.4231826397.8194875210.8184077179.7130290433.81. (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 RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070 TiGTX 1070GTX 106020406080100SE +/- 0.57, N = 11SE +/- 0.39, N = 11SE +/- 0.25, N = 11SE +/- 0.29, N = 11SE +/- 0.20, N = 10SE +/- 0.37, N = 11SE +/- 0.21, N = 11SE +/- 0.38, N = 11SE +/- 0.23, N = 11SE +/- 0.32, N = 1176.6475.7964.5461.9460.2068.1570.6969.1866.2161.651. (CXX) g++ options: -rdynamic -lOpenCL

Meta Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per WattsTITAN RTXRTX 2080 TiGTX 980 TiGTX 980GTX 970GTX 1660 SUPERGTX 1080GTX 1070GTX 10602004006008001000962.081013.20327.28249.04223.07497.00406.50348.12280.52

GPU Power Consumption Monitor

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

GPU Temperature Monitor

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