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
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results
Show Result Confidence Charts

Limit displaying results to tests within:

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

Statistics

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

Graph Settings

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

Multi-Way Comparison

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

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
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
Invert Hiding All Results Option
  1 Hour, 32 Minutes

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


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 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX1632486480Min: 32 / Avg: 52.77 / Max: 69Min: 29 / Avg: 59.81 / Max: 78Min: 32 / Avg: 45.46 / Max: 58Min: 28 / Avg: 61.17 / Max: 83Min: 33 / Avg: 55.48 / Max: 68Min: 33 / Avg: 52.58 / Max: 74Min: 31 / Avg: 65.22 / Max: 80Min: 30 / Avg: 70.66 / Max: 85Min: 29 / Avg: 56.11 / Max: 78Min: 35 / Avg: 55.61 / Max: 78

GPU Power Consumption Monitor

OpenBenchmarking.orgWattsGPU Power Consumption MonitorPhoronix Test Suite System MonitoringGTX 1060GTX 1070GTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX60120180240300Min: 6.24 / Avg: 64.43 / Max: 128.04Min: 6.84 / Avg: 82.21 / Max: 159.92Min: 6.47 / Avg: 92.36 / Max: 196.24Min: 10.68 / Avg: 67.65 / Max: 128.36Min: 15.21 / Avg: 95.21 / Max: 176.52Min: 15.1 / Avg: 102.77 / Max: 192.38Min: 15.33 / Avg: 131.28 / Max: 252.57Min: 5.74 / Avg: 124.11 / Max: 273.84Min: 24.02 / Avg: 126.58 / Max: 312.98

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: GPUGTX 1070GTX 1080GTX 970GTX 980TITAN RTX1122334455SE +/- 0.13, N = 13SE +/- 0.04, N = 13SE +/- 0.05, N = 13SE +/- 0.04, N = 13SE +/- 0.02, N = 1321.524.615.417.348.1

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: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX6001200180024003000SE +/- 2.10, N = 6SE +/- 3.20, N = 7SE +/- 0.31, N = 7SE +/- 1.79, N = 7SE +/- 0.83, N = 7SE +/- 0.24, N = 6SE +/- 0.78, N = 6SE +/- 2.34, N = 5SE +/- 1.82, N = 7SE +/- 1.27, N = 8987.071392.461485.781665.721380.68910.911053.491290.482751.852856.83

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Training - Network: Mobilenet - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX4080120160200SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.19, N = 3SE +/- 0.21, N = 383.52103.7999.6499.82111.3973.2580.4789.28187.73198.37

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX5001000150020002500SE +/- 0.68, N = 7SE +/- 1.14, N = 8SE +/- 0.27, N = 8SE +/- 0.60, N = 8SE +/- 1.11, N = 8SE +/- 0.28, N = 7SE +/- 0.69, N = 7SE +/- 0.66, N = 8SE +/- 1.58, N = 8SE +/- 2.36, N = 8775.731052.641070.901154.131080.11716.82810.501029.362406.162544.67

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX80160240320400SE +/- 0.19, N = 3SE +/- 0.23, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.62, N = 3SE +/- 0.02, N = 3SE +/- 0.25, N = 3SE +/- 0.19, N = 3108.56151.71159.43190.14135.3197.83109.50138.33353.54355.85

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX50100150200250SE +/- 0.22, N = 3SE +/- 0.18, N = 3SE +/- 0.10, N = 3SE +/- 0.42, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.21, N = 3SE +/- 0.87, N = 3SE +/- 0.64, N = 3SE +/- 0.54, N = 471.7899.88116.89131.3486.6164.5372.2190.74237.29248.79

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX50100150200250SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.21, N = 3SE +/- 0.25, N = 379.13108.46108.23112.28100.5173.8982.2199.84212.11227.30

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX2004006008001000SE +/- 0.09, N = 4SE +/- 0.44, N = 4SE +/- 0.07, N = 4SE +/- 0.35, N = 4SE +/- 0.17, N = 4SE +/- 0.11, N = 4SE +/- 0.41, N = 4SE +/- 0.57, N = 4SE +/- 1.41, N = 5SE +/- 0.80, N = 5227.23314.83331.84398.82298.77203.08228.46267.88753.75775.69

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX4080120160200SE +/- 0.16, N = 3SE +/- 0.13, N = 3SE +/- 0.05, N = 3SE +/- 0.31, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.61, N = 3SE +/- 1.20, N = 3SE +/- 0.60, N = 3SE +/- 0.42, N = 456.6279.1292.87103.8368.8151.1456.6071.18187.92196.63

cl-mem

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: WriteGTX 1060GTX 1070GTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX1.0532.1063.1594.2125.2652.762.832.943.631.841.932.274.524.68

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX120240360480600SE +/- 0.02, N = 5SE +/- 0.03, N = 6SE +/- 0.03, N = 6SE +/- 0.08, N = 6SE +/- 0.07, N = 7SE +/- 0.02, N = 4SE +/- 0.08, N = 5SE +/- 0.17, N = 6SE +/- 0.13, N = 8SE +/- 0.13, N = 9154.4206.2206.2229.6296.6144.6165.3266.0545.7567.71. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX110220330440550SE +/- 0.02, N = 5SE +/- 0.03, N = 6SE +/- 0.03, N = 6SE +/- 0.09, N = 6SE +/- 0.36, N = 7SE +/- 0.15, N = 4SE +/- 0.20, N = 5SE +/- 0.14, N = 6SE +/- 0.21, N = 8SE +/- 0.97, N = 9148.1199.5198.2225.6240.7136.3159.1245.9449.5491.71. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX70140210280350SE +/- 0.02, N = 5SE +/- 0.02, N = 6SE +/- 0.03, N = 6SE +/- 0.02, N = 6SE +/- 0.05, N = 7SE +/- 0.02, N = 4SE +/- 0.02, N = 5SE +/- 0.07, N = 6SE +/- 0.10, N = 8SE +/- 0.08, N = 9138.5183.3184.1207.4240.2125.9145.0217.8324.0322.71. (CC) gcc options: -O2 -flto -lOpenCL

clpeak

OpenBenchmarking.orgGBPS Per Watt, More Is BetterclpeakOpenCL Test: Global Memory BandwidthGTX 1060GTX 1070GTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX2468103.403.413.596.432.332.392.636.236.85

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX110220330440550SE +/- 0.04, N = 10SE +/- 0.04, N = 11SE +/- 0.01, N = 11SE +/- 0.11, N = 15SE +/- 0.16, N = 12SE +/- 0.02, N = 12SE +/- 0.01, N = 13SE +/- 0.13, N = 15SE +/- 0.46, N = 12SE +/- 0.05, N = 13147.66197.20198.18223.14276.35144.56165.29264.74506.90530.791. (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 PrecisionGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX3K6K9K12K15KSE +/- 2.22, N = 13SE +/- 12.17, N = 15SE +/- 2.95, N = 12SE +/- 11.17, N = 14SE +/- 8.38, N = 13SE +/- 0.70, N = 11SE +/- 23.81, N = 15SE +/- 4.87, N = 13SE +/- 66.33, N = 15SE +/- 619.26, N = 154355.286476.927018.908520.975462.594141.794683.965844.9016061.0915032.471. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Single PrecisionGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERRTX 2080 TiTITAN RTX3K6K9K12K15KSE +/- 1.19, N = 9SE +/- 30.05, N = 15SE +/- 2.31, N = 11SE +/- 3.04, N = 11SE +/- 0.25, N = 13SE +/- 556.93, N = 15SE +/- 595.40, N = 154167.416174.806647.948182.725440.7414734.0315103.611. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: Double PrecisionGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX100200300400500SE +/- 0.23, N = 13SE +/- 0.06, N = 13SE +/- 0.08, N = 14SE +/- 0.15, N = 14SE +/- 0.22, N = 13SE +/- 0.16, N = 13SE +/- 0.18, N = 13SE +/- 0.12, N = 13SE +/- 0.56, N = 15SE +/- 1.13, N = 14150.48224.82241.99296.66144.30137.20159.33197.44436.81454.371. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Double PrecisionGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERRTX 2080 TiTITAN RTX90180270360450SE +/- 0.00, N = 9SE +/- 0.10, N = 11SE +/- 0.35, N = 11SE +/- 0.03, N = 11SE +/- 0.66, N = 15SE +/- 10.76, N = 15SE +/- 15.67, N = 15151.63225.05240.92296.09144.14409.46413.661. (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 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX11002200330044005500SE +/- 2.50, N = 4SE +/- 4.04, N = 4SE +/- 1.17, N = 4SE +/- 10.96, N = 4SE +/- 3.01, N = 4SE +/- 1.45, N = 4SE +/- 10.36, N = 4SE +/- 8.83, N = 4SE +/- 13.92, N = 4SE +/- 17.72, N = 42856.382905.884304.765091.861765.012457.732826.162438.974836.625040.581. (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 FactorizationGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX20406080100SE +/- 0.32, N = 11SE +/- 0.23, N = 11SE +/- 0.38, N = 11SE +/- 0.21, N = 11SE +/- 0.37, N = 11SE +/- 0.20, N = 10SE +/- 0.29, N = 11SE +/- 0.25, N = 11SE +/- 0.39, N = 11SE +/- 0.57, N = 1161.6566.2169.1870.6968.1560.2061.9464.5475.7976.641. (CXX) g++ options: -rdynamic -lOpenCL

Mixbench

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Half PrecisionGTX 1060GTX 1070GTX 1080GTX 1660 SUPERRTX 2080 TiTITAN RTX20040060080010001.952.182.60332.57775.82583.70

clpeak

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterclpeakOpenCL Test: Single-Precision FloatGTX 1060GTX 1070GTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX4080120160200108.23122.80141.08119.9662.2060.5256.52169.42154.83

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterclpeakOpenCL Test: Double-Precision DoubleGTX 1060GTX 1070GTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX0.94281.88562.82843.77124.7143.173.443.803.071.801.781.684.193.98

Mixbench

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

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Half PrecisionGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERRTX 2080 TiTITAN RTX7K14K21K28K35KSE +/- 0.02, N = 9SE +/- 0.02, N = 11SE +/- 0.07, N = 11SE +/- 0.10, N = 11SE +/- 15.42, N = 13SE +/- 601.15, N = 15SE +/- 939.79, N = 1575.77113.32121.42149.3510862.9031492.2432084.791. (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 FloatGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX3K6K9K12K15KSE +/- 76.28, N = 15SE +/- 112.12, N = 15SE +/- 3.15, N = 13SE +/- 104.59, N = 15SE +/- 43.47, N = 15SE +/- 48.39, N = 15SE +/- 36.45, N = 13SE +/- 62.62, N = 15SE +/- 177.79, N = 15SE +/- 206.22, N = 154110.716093.026788.408218.624440.233874.984472.775512.8913536.2514178.851. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX120240360480600SE +/- 0.23, N = 3SE +/- 0.38, N = 4SE +/- 0.06, N = 3SE +/- 0.60, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 1.30, N = 3SE +/- 1.32, N = 3150.68223.60242.70298.46172.49137.48159.72197.23522.22548.261. (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: IntegerGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX4K8K12K16K20KSE +/- 2.70, N = 14SE +/- 0.96, N = 13SE +/- 0.83, N = 14SE +/- 6.51, N = 15SE +/- 7.30, N = 13SE +/- 0.40, N = 13SE +/- 5.50, N = 15SE +/- 1.27, N = 13SE +/- 11.06, N = 14SE +/- 63.55, N = 151354.142019.082157.312655.585432.401215.751389.901711.0316323.9416979.991. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGIOPS Per Watt, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: IntegerGTX 1060GTX 1070GTX 1080GTX 1660 SUPERRTX 2080 TiTITAN RTX6012018024030031.4236.1842.16147.05278.86272.76

OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: IntegerGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERRTX 2080 TiTITAN RTX3K6K9K12K15KSE +/- 2.01, N = 9SE +/- 3.28, N = 11SE +/- 0.87, N = 11SE +/- 1.56, N = 11SE +/- 4.94, N = 15SE +/- 264.51, N = 15SE +/- 458.60, N = 151187.721764.631887.612326.094866.6114103.7914426.111. (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 INTGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX3K6K9K12K15KSE +/- 10.83, N = 15SE +/- 6.03, N = 12SE +/- 0.30, N = 10SE +/- 7.00, N = 10SE +/- 6.44, N = 12SE +/- 8.78, N = 10SE +/- 1.81, N = 8SE +/- 8.22, N = 9SE +/- 23.37, N = 12SE +/- 169.21, N = 151275.121695.792076.452430.554280.551145.141306.511612.5213629.3713783.931. (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 BenchmarkGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX1.12282.24563.36844.49125.614SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 12SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 31.532.122.242.132.261.461.632.004.754.99MIN: 0.23 / MAX: 1.72MIN: 0.27 / MAX: 2.4MIN: 0.27 / MAX: 2.52MIN: 0.27 / MAX: 2.39MIN: 0.27 / MAX: 2.54MIN: 0.12 / MAX: 1.68MIN: 0.27 / MAX: 1.83MIN: 0.27 / MAX: 2.27MIN: 0.32 / MAX: 5.39MIN: 0.32 / MAX: 5.69

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: Rainbow Colors and PrismGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.13, N = 12SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 12SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 4SE +/- 0.18, N = 45.416.625.384.235.614.815.116.5912.3312.73MIN: 4.66 / MAX: 5.64MIN: 5.17 / MAX: 6.91MIN: 1.63 / MAX: 5.69MIN: 3.57 / MAX: 4.38MIN: 5.07 / MAX: 5.86MIN: 1.5 / MAX: 5.09MIN: 4.25 / MAX: 5.29MIN: 5.89 / MAX: 6.88MIN: 11.33 / MAX: 12.81MIN: 11.95 / MAX: 14

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: DLSCGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX1.34552.6914.03655.3826.7275SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 12SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.782.462.552.452.631.731.932.365.675.98MIN: 1.64 / MAX: 1.82MIN: 2.29 / MAX: 2.51MIN: 2.31 / MAX: 2.62MIN: 2.29 / MAX: 2.5MIN: 2.55 / MAX: 2.68MIN: 0.43 / MAX: 1.81MIN: 1.74 / MAX: 1.98MIN: 2.29 / MAX: 2.42MIN: 5.22 / MAX: 5.74MIN: 4.3 / MAX: 6.07

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: FoodGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX0.50181.00361.50542.00722.509SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 12SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 30.650.920.980.991.090.670.780.922.232.23MIN: 0.22 / MAX: 0.74MIN: 0.23 / MAX: 1.06MIN: 0.24 / MAX: 1.14MIN: 0.24 / MAX: 1.15MIN: 0.25 / MAX: 1.26MIN: 0.12 / MAX: 0.81MIN: 0.23 / MAX: 0.88MIN: 0.23 / MAX: 1.06MIN: 0.32 / MAX: 2.65MIN: 0.25 / MAX: 2.7

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: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX5K10K15K20K25KSE +/- 28.32, N = 3SE +/- 85.75, N = 3SE +/- 57.21, N = 3SE +/- 54.30, N = 3SE +/- 36.50, N = 3SE +/- 43.89, N = 3SE +/- 28.99, N = 3SE +/- 55.16, N = 3SE +/- 20.50, N = 359339750994712662736651636265828321839224241. (CXX) g++ options: -flto -pthread

GROMACS

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2020.3Water BenchmarkGTX 1060GTX 1070GTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX0.01130.02260.03390.04520.05650.030.030.030.050.020.020.020.040.04

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 2.3.2GTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX60120180240300SE +/- 0.16, N = 3SE +/- 0.46, N = 3SE +/- 0.06, N = 3SE +/- 0.41, N = 3SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.33, N = 3SE +/- 1.17, N = 3SE +/- 0.85, N = 3102.27139.50137.14151.57135.6190.85102.37115.78290.72292.16

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 BenchmarkGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX246810SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.007, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.020, N = 2SE +/- 0.005, N = 33.1814.0524.2594.6344.6292.9953.2713.8577.1367.1171. (CXX) g++ options: -O3 -lpthread -ldl -lrt -lm

Meta Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per WattsGTX 1060GTX 1070GTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX2004006008001000280.52348.12406.50497.00223.07249.04327.281013.20962.08

MandelGPU

OpenBenchmarking.orgSamples/sec Per Watt, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPUGTX 1060GTX 1070GTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX900K1800K2700K3600K4500K1865313.242106550.522450550.942835520.581114599.861068896.981086192.874199725.883918310.99

OpenBenchmarking.orgSamples/sec, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPUGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX100M200M300M400M500MSE +/- 339240.54, N = 6SE +/- 327094.24, N = 7SE +/- 459096.61, N = 7SE +/- 528438.95, N = 8SE +/- 173522.04, N = 7SE +/- 113731.50, N = 5SE +/- 4075144.18, N = 15SE +/- 353641.55, N = 6SE +/- 2765042.11, N = 10SE +/- 2829613.77, N = 10130290433.8184077179.7194875210.8231826397.8200846066.4113624502.0121139566.8148357386.1448915216.6480798376.61. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

OctaneBench

OpenBenchmarking.orgScore Per Watt, More Is BetterOctaneBench 4.00cTotal ScoreGTX 1060GTX 1070GTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX0.29030.58060.87091.16121.45151.231.251.261.250.840.850.851.291.27

OpenBenchmarking.orgScore, More Is BetterOctaneBench 4.00cTotal ScoreGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX7014021028035091.73132.84141.67148.47135.6696.20110.81143.52310.81324.55

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 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX3K6K9K12K15KSE +/- 136.54, N = 3SE +/- 180.15, N = 3SE +/- 112.38, N = 3SE +/- 90.00, N = 3SE +/- 16.13, N = 3SE +/- 123.30, N = 3SE +/- 75.04, N = 3SE +/- 62.20, N = 3SE +/- 70.09, N = 3SE +/- 36.56, N = 311766.2913045.8613281.7713141.7313933.2711485.5011735.8411829.8613045.0312538.251. (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 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX30060090012001500SE +/- 8.38, N = 3SE +/- 4.73, N = 3SE +/- 7.67, N = 3SE +/- 2.36, N = 3SE +/- 0.96, N = 4SE +/- 2.99, N = 3SE +/- 1.10, N = 3SE +/- 15.93, N = 3SE +/- 0.89, N = 4SE +/- 2.28, N = 41253.431231.441204.771218.561466.24979.331019.04976.751436.621434.171. (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: Points2ImageGTX 1660 SUPERRTX 2080 TiTITAN RTX6K12K18K24K30KSE +/- 284.42, N = 3SE +/- 496.68, N = 3SE +/- 203.08, N = 329306.1328816.8229401.511. (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 1060GTX 1070GTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX122436486050.1241.0239.7051.3529.6426.6920.1531.6728.96

OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenCL - Kernel: NDT MappingGTX 1060GTX 1070GTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX36912159.717.337.187.815.775.293.936.355.52

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenCL - Kernel: Euclidean ClusterGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX5001000150020002500SE +/- 3.33, N = 5SE +/- 7.62, N = 5SE +/- 0.67, N = 5SE +/- 5.86, N = 5SE +/- 3.67, N = 5SE +/- 1.83, N = 4SE +/- 2.91, N = 5SE +/- 5.50, N = 4SE +/- 5.93, N = 5SE +/- 9.59, N = 52076.482243.102223.782345.382175.961928.881976.411908.812268.232279.141. (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 MappingGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX80160240320400SE +/- 0.67, N = 3SE +/- 2.24, N = 3SE +/- 2.01, N = 3SE +/- 1.38, N = 3SE +/- 2.54, N = 3SE +/- 0.82, N = 3SE +/- 0.61, N = 3SE +/- 2.08, N = 3SE +/- 0.87, N = 3SE +/- 1.41, N = 3333.47345.44349.12348.29320.97324.70333.52339.21350.37343.611. (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 MappingGTX 1660 SUPERRTX 2080 TiTITAN RTX130260390520650SE +/- 4.39, N = 3SE +/- 2.73, N = 3SE +/- 5.64, N = 3563.13606.75590.631. (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 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX1530456075Min: 53 / Avg: 59 / Max: 63Min: 61 / Avg: 64.18 / Max: 67Min: 44 / Avg: 46.95 / Max: 49Min: 63 / Avg: 66.02 / Max: 69Min: 45 / Avg: 54.14 / Max: 62Min: 47 / Avg: 56.05 / Max: 62Min: 65 / Avg: 71.49 / Max: 76Min: 68 / Avg: 73.03 / Max: 77Min: 56 / Avg: 59.33 / Max: 63Min: 57 / Avg: 60.56 / Max: 64

Rodinia

OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1GPU Temperature MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX1326395265Min: 43 / Avg: 44.94 / Max: 47Min: 51 / Avg: 52.92 / Max: 56Min: 40 / Avg: 40.95 / Max: 43Min: 50 / Avg: 53.04 / Max: 57Min: 43 / Avg: 50.99 / Max: 55Min: 41 / Avg: 43.14 / Max: 45Min: 55 / Avg: 57.36 / Max: 62Min: 61 / Avg: 63.04 / Max: 67Min: 53 / Avg: 56.63 / Max: 60Min: 53 / Avg: 56.83 / Max: 60

OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1GPU Temperature MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX1428425670Min: 41 / Avg: 49.31 / Max: 54Min: 48 / Avg: 57.03 / Max: 63Min: 39 / Avg: 43.62 / Max: 47Min: 48 / Avg: 56.89 / Max: 64Min: 45 / Avg: 52.09 / Max: 57Min: 39 / Avg: 50.35 / Max: 57Min: 51 / Avg: 61.18 / Max: 67Min: 59 / Avg: 67.93 / Max: 73Min: 49 / Avg: 53.32 / Max: 56Min: 50 / Avg: 54.12 / Max: 57

OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1GPU Temperature MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX1326395265Min: 43 / Avg: 45.03 / Max: 49Min: 50 / Avg: 52.69 / Max: 58Min: 40 / Avg: 40.3 / Max: 41Min: 50 / Avg: 52.55 / Max: 58Min: 43 / Avg: 51.19 / Max: 56Min: 41 / Avg: 43.29 / Max: 47Min: 54 / Avg: 56.12 / Max: 61Min: 61 / Avg: 63.5 / Max: 69Min: 48 / Avg: 50.92 / Max: 52Min: 49 / Avg: 51.81 / Max: 52

ArrayFire

OpenBenchmarking.orgCelsius, Fewer Is BetterArrayFire 3.7GPU Temperature MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX1428425670Min: 48 / Avg: 50.14 / Max: 54Min: 54 / Avg: 56.91 / Max: 59Min: 42 / Avg: 43.29 / Max: 45Min: 56 / Avg: 58.69 / Max: 62Min: 43 / Avg: 50.39 / Max: 58Min: 45 / Avg: 47.64 / Max: 51Min: 58 / Avg: 62.29 / Max: 66Min: 65 / Avg: 68.04 / Max: 72Min: 53 / Avg: 55.13 / Max: 59Min: 53 / Avg: 55.85 / Max: 60

FinanceBench

OpenBenchmarking.orgCelsius, Fewer Is BetterFinanceBench 2016-06-06GPU Temperature MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX1326395265Min: 40 / Avg: 42.76 / Max: 46Min: 43 / Avg: 48.67 / Max: 50Min: 39 / Avg: 39.94 / Max: 41Min: 46 / Avg: 47.39 / Max: 50Min: 45 / Avg: 46.81 / Max: 49Min: 39 / Avg: 39.35 / Max: 40Min: 50 / Avg: 51.97 / Max: 54Min: 59 / Avg: 61.76 / Max: 66Min: 42 / Avg: 43.96 / Max: 46Min: 41 / Avg: 42.67 / Max: 44

OpenBenchmarking.orgCelsius, Fewer Is BetterFinanceBench 2016-06-06GPU Temperature MonitorGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX1224364860Min: 39 / Avg: 41.26 / Max: 43Min: 45 / Avg: 46.95 / Max: 48Min: 39 / Avg: 39.08 / Max: 40Min: 44 / Avg: 46.77 / Max: 48Min: 46 / Avg: 50.08 / Max: 55Min: 38 / Avg: 40.25 / Max: 41Min: 49 / Avg: 51.2 / Max: 53Min: 57 / Avg: 59.51 / Max: 61Min: 40 / Avg: 41.32 / Max: 44Min: 40 / Avg: 41.53 / Max: 44

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 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 Ti1326395265Min: 37 / Avg: 42.15 / Max: 47Min: 41 / Avg: 48.87 / Max: 53Min: 38 / Avg: 39.82 / Max: 42Min: 45 / Avg: 49.77 / Max: 54Min: 43 / Avg: 50.51 / Max: 62Min: 35 / Avg: 40.64 / Max: 47Min: 44 / Avg: 50.29 / Max: 56Min: 54 / Avg: 60.59 / Max: 67Min: 40 / Avg: 42.68 / Max: 48

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

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

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

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 AtomsGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX0.08120.16240.24360.32480.406SE +/- 0.00077, N = 3SE +/- 0.00276, N = 4SE +/- 0.00101, N = 4SE +/- 0.00174, N = 4SE +/- 0.00026, N = 4SE +/- 0.00170, N = 3SE +/- 0.00291, N = 3SE +/- 0.00163, N = 4SE +/- 0.00046, N = 4SE +/- 0.00134, N = 40.309570.240220.223000.224260.231770.360710.335660.291380.190820.19195

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 OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX1.2152.433.6454.866.075SE +/- 0.003, N = 10SE +/- 0.004, N = 10SE +/- 0.001, N = 10SE +/- 0.002, N = 10SE +/- 0.001, N = 10SE +/- 0.002, N = 9SE +/- 0.002, N = 10SE +/- 0.006, N = 10SE +/- 0.005, N = 10SE +/- 0.001, N = 105.0004.0773.8143.3872.6425.4004.9043.6221.6771.6661. (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 OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX48121620SE +/- 0.317, N = 15SE +/- 0.209, N = 15SE +/- 0.003, N = 15SE +/- 0.003, N = 15SE +/- 0.001, N = 14SE +/- 0.003, N = 15SE +/- 0.023, N = 15SE +/- 0.156, N = 15SE +/- 0.002, N = 14SE +/- 0.002, N = 1513.3408.9687.2986.98115.27114.19612.1019.5966.0205.7011. (CXX) g++ options: -O3 -lOpenCL

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-06-06Benchmark: Monte-Carlo OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX2004006008001000SE +/- 0.45, N = 7SE +/- 0.41, N = 7SE +/- 0.22, N = 8SE +/- 0.48, N = 7SE +/- 0.49, N = 8SE +/- 1.03, N = 7SE +/- 0.37, N = 8SE +/- 0.29, N = 8SE +/- 0.60, N = 8SE +/- 1.20, N = 8894.08697.55754.28921.68594.44841.19749.29660.55319.91277.231. (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 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX1224364860SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.24, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.26, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 338.1138.0042.0838.0034.1348.9250.5555.1735.2435.771. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle FilterGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX3691215SE +/- 0.012, N = 4SE +/- 0.019, N = 6SE +/- 0.006, N = 6SE +/- 0.018, N = 6SE +/- 0.009, N = 5SE +/- 0.026, N = 4SE +/- 0.058, N = 4SE +/- 0.092, N = 5SE +/- 0.009, N = 8SE +/- 0.008, N = 812.0028.2057.7916.45711.48213.18511.77410.0714.4144.2501. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: NVIDIA CUDA GPU MyocyteGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX1428425670SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.22, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 342.7042.9647.7243.2039.9156.5059.4764.7640.3540.371. (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: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX0.971.942.913.884.85SE +/- 0.012, N = 8SE +/- 0.009, N = 9SE +/- 0.012, N = 8SE +/- 0.006, N = 9SE +/- 0.010, N = 9SE +/- 0.014, N = 7SE +/- 0.014, N = 8SE +/- 0.013, N = 8SE +/- 0.007, N = 10SE +/- 0.008, N = 93.5172.7092.7412.5462.6074.3113.7643.0171.4921.491

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Masskrug - Acceleration: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX1.03732.07463.11194.14925.1865SE +/- 0.009, N = 8SE +/- 0.008, N = 8SE +/- 0.016, N = 8SE +/- 0.011, N = 8SE +/- 0.011, N = 8SE +/- 0.022, N = 7SE +/- 0.023, N = 7SE +/- 0.012, N = 8SE +/- 0.009, N = 9SE +/- 0.011, N = 83.1692.9742.9982.9743.0304.6104.5433.2272.7552.792

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Room - Acceleration: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX0.6441.2881.9322.5763.22SE +/- 0.002, N = 10SE +/- 0.004, N = 10SE +/- 0.001, N = 10SE +/- 0.003, N = 10SE +/- 0.002, N = 10SE +/- 0.017, N = 8SE +/- 0.004, N = 8SE +/- 0.002, N = 10SE +/- 0.002, N = 11SE +/- 0.002, N = 111.3011.1121.1661.0951.0822.8622.7301.3980.7590.767

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Rack - Acceleration: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1660 SUPERGTX 970GTX 980GTX 980 TiRTX 2080 TiTITAN RTX0.03690.07380.11070.14760.1845SE +/- 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 = 13SE +/- 0.001, N = 15SE +/- 0.001, N = 13SE +/- 0.000, N = 130.1240.1170.1170.1110.1040.1630.1620.1640.1000.103

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