NVIDIA GPU Compute OpenCL CUDA Benchmarks

Some benchmarks by Michael Larabel tests for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2009127-FI-ROCMGPUCO06
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BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
CPU Massive 4 Tests
HPC - High Performance Computing 4 Tests
Machine Learning 2 Tests
Multi-Core 3 Tests
NVIDIA GPU Compute 12 Tests
OpenCL 5 Tests
Server CPU Tests 2 Tests
Common Workstation Benchmarks 2 Tests

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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
GTX 1060
September 08 2020
  49 Minutes
GTX 1070
September 07 2020
  47 Minutes
GTX 1070 Ti
September 06 2020
  52 Minutes
GTX 1080
September 07 2020
  47 Minutes
GTX 1650
September 09 2020
  50 Minutes
GTX 1650 SUPER
September 08 2020
  50 Minutes
GTX 1660
September 09 2020
  47 Minutes
GTX 1660 SUPER
September 07 2020
  48 Minutes
GTX 1660 Ti
September 09 2020
  46 Minutes
RTX 2060
September 08 2020
  47 Minutes
RTX 2060 SUPER
September 09 2020
  46 Minutes
RTX 2070
September 09 2020
  45 Minutes
RTX 2070 SUPER
September 08 2020
  45 Minutes
RTX 2080
September 08 2020
  46 Minutes
RTX 2080 SUPER
September 08 2020
  44 Minutes
RTX 2080 Ti
September 07 2020
  45 Minutes
TITAN RTX
September 06 2020
  46 Minutes
Radeon VII
September 11 2020
  53 Minutes
RX Vega 56
September 11 2020
  2 Hours, 34 Minutes
RX 5600 XT
September 12 2020
 
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NVIDIA GPU Compute OpenCL CUDA BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkAudioOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRadeon VIIRX Vega 56RX 5600 XTAMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS)AMD Starship/Matisse16GB2000GB Corsair Force MP600NVIDIA GeForce GTX 1060 6GB (1506/4006MHz)DELL P2415QRealtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 20.045.4.0-45-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8NVIDIA 450.664.6.0OpenCL 1.2 CUDA 11.0.2281.2.133GCC 9.3.0 + CUDA 11.0ext43840x2160NVIDIA GeForce GTX 1070 8GB (1506/4006MHz)Zotac NVIDIA GeForce GTX 1070 Ti 8GB (1607/4006MHz)NVIDIA GeForce GTX 1080 8GB (1607/5005MHz)ASUS NVIDIA GeForce GTX 1650 4GB (1485/4001MHz)ASUS NVIDIA GeForce GTX 1650 SUPER 4GB (615/405MHz)ASUS NVIDIA GeForce GTX 1660 6GB (1530/4001MHz)eVGA NVIDIA GeForce GTX 1660 SUPER 6GB (1530/7000MHz)eVGA NVIDIA GeForce GTX 1660 Ti 6GB (1500/6000MHz)NVIDIA GeForce RTX 2060 6GB (1365/7000MHz)NVIDIA GeForce RTX 2060 SUPER 8GB (1470/7000MHz)ASUS NVIDIA GeForce RTX 2070 8GB (1410/7000MHz)NVIDIA GeForce RTX 2070 SUPER 8GB (450/405MHz)Zotac NVIDIA GeForce RTX 2080 8GB (1515/7000MHz)NVIDIA GeForce RTX 2080 SUPER 8GB (1650/7750MHz)NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz)NVIDIA TITAN RTX 24GB (420/405MHz)2000GB Corsair Force MP600 + 2000GBAMD Radeon VII 16GB (1801/1000MHz)AMD Vega 20 HDMI Audio5.9.0-050900rc4daily20200911-generic (x86_64) 202009104.6 Mesa 20.3.0-devel (git-65d0fa0 2020-09-11 focal-oibaf-ppa) (LLVM 10.0.1)OpenCL 2.0 AMD-APP (3182.0)1.2.131AMD Radeon RX 56/64 8GB (1590/800MHz)AMD Vega 10 HDMI AudioSapphire AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 6GB (1780/875MHz)AMD Navi 10 HDMI AudioOpenBenchmarking.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 -vProcessor Details- GTX 1060: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013- GTX 1070: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013- GTX 1070 Ti: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013- GTX 1080: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013- GTX 1650: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013- GTX 1650 SUPER: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013- GTX 1660: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013- GTX 1660 SUPER: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013- GTX 1660 Ti: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013- RTX 2060: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013- RTX 2060 SUPER: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013- RTX 2070: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013- RTX 2070 SUPER: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013- RTX 2080: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013- RTX 2080 SUPER: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013- RTX 2080 Ti: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013- TITAN RTX: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013- Radeon VII: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701013- RX Vega 56: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013- RX 5600 XT: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701013OpenCL Details- GTX 1060: GPU Compute Cores: 1280- GTX 1070: GPU Compute Cores: 1920- GTX 1070 Ti: GPU Compute Cores: 2432- GTX 1080: GPU Compute Cores: 2560- GTX 1650: GPU Compute Cores: 896- GTX 1650 SUPER: GPU Compute Cores: 1280- GTX 1660: GPU Compute Cores: 1408- GTX 1660 SUPER: GPU Compute Cores: 1408- GTX 1660 Ti: GPU Compute Cores: 1536- RTX 2060: GPU Compute Cores: 1920- RTX 2060 SUPER: GPU Compute Cores: 2176- RTX 2070: GPU Compute Cores: 2304- RTX 2070 SUPER: GPU Compute Cores: 2560- RTX 2080: GPU Compute Cores: 2944- RTX 2080 SUPER: GPU Compute Cores: 3072- RTX 2080 Ti: GPU Compute Cores: 4352- TITAN RTX: GPU Compute Cores: 4608Python 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

NVIDIA GPU Compute OpenCL CUDA Benchmarksluxcorerender-cl: Rainbow Colors and Prismclpeak: Global Memory Bandwidthlczero: OpenCLcl-mem: Readcl-mem: Writeclpeak: Single-Precision Floatmixbench: OpenCL - Single Precisionplaidml: No - Inference - Mobilenet - OpenCLrodinia: OpenCL Particle Filtermixbench: OpenCL - Double Precisionclpeak: Double-Precision Doubleplaidml: No - Inference - IMDB LSTM - OpenCLfahbench: plaidml: No - Inference - DenseNet 201 - OpenCLplaidml: Yes - Inference - Mobilenet - OpenCLluxcorerender-cl: DLSCmandelgpu: GPUluxcorerender-cl: LuxCore Benchmarkluxcorerender-cl: Foodcl-mem: Copyplaidml: No - Training - Mobilenet - OpenCLviennacl: OpenCL LU Factorizationfinancebench: Black-Scholes OpenCLarrayfire: Conjugate Gradient OpenCLmixbench: OpenCL - Integerclpeak: Integer Compute INTblender: Fishy Cat - OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRadeon VIIRX Vega 56RX 5600 XT5.41147.665933154.4148.14110.714355.28775.7312.002150.48150.68227.23102.268379.13987.071.78130290433.81.530.65138.583.5261.653013.3405.0001354.141275.126.62197.209750206.2199.56093.026476.921052.648.205224.82223.60314.83139.4974108.461392.462.46184077179.72.120.92183.3103.7966.20688.9684.0772019.081695.795.38198.189947206.2198.26788.407018.901070.907.791241.99242.70331.84137.1393108.231485.782.55194875210.82.240.98184.199.6469.18387.2983.8142157.312076.454.23223.1412662229.6225.68218.628520.971154.136.457296.66298.46398.82151.5679112.281665.722.45231826397.82.130.99207.499.8270.68806.9813.3872655.582430.553.93105.313101108.7104.42673.643441.36573.6717.82391.77109.20201.2775.813559.37814.501.73132266243.91.510.6799.265.5962.960724.1452856.8083466.722641.382.73156.865151167.0145.84123.664943.06740.1712.487132.75157.98269.1782.052173.171080.431.61186025762.61.360.81143.877.1067.933016.5777854.4454975.184128.395.58158.155895163.9157.34543.645259.29858.9011.893141.25168.56289.42125.615887.251199.662.56193795979.52.200.99145.997.9467.820015.2594.5415303.514338.675.61276.357366296.6240.74440.235462.591080.1111.482144.30172.49298.77135.6073100.511380.682.63200846066.42.261.09240.2111.3968.153215.2712.6425432.404280.555.01234.917733251.2223.94778.235821.191038.8610.847155.78184.34313.08138.557898.991427.432.51210891296.22.111.07211.1108.0670.028714.3853.0685803.634734.367.97276.9410290297.4258.75417.557222.281285.588.836194.80232.17390.07178.4712125.231719.713.34252924048.72.791.17239.4125.3373.309112.5552.6597275.335356.8411.32368.9412335396.8341.37034.778159.151585.767.914222.15261.89438.26200.7664146.902012.374.20281931310.03.541.33288.0154.8172.501010.4982.0838218.026930.2110.98369.3012311396.9328.57265.918357.961575.657.767226.65267.79444.84199.8719147.871996.604.17284631717.43.491.30284.4153.0372.569910.2542.0978362.867133.7710.21369.6214730396.8322.98540.739630.831712.756.837259.11308.86500.26221.7284149.692287.034.44323061985.43.691.90292.1154.7474.44738.2632.0719696.388484.419.24369.2315442396.5338.19161.1810812.521726.606.196290.13345.11544.54235.5341151.992322.394.32345359936.43.551.87290.0154.3574.72987.6572.07510930.569141.239.14405.9217501437.6352.910264.3811758.651815.925.718315.03376.32588.04248.0118159.792432.734.38374422420.63.621.93301.7158.8276.10166.8111.90011752.1110266.7212.33506.9021839545.7449.513536.2516061.092406.164.414436.81522.22753.75290.7249212.112751.855.67448915216.64.752.23324.0187.7375.78716.0201.67716323.9413629.3712.73530.7922424567.7491.714178.8515032.472544.674.250454.37548.26775.69292.1593227.302856.835.98480798376.64.992.23322.7198.3776.64105.7011.66616979.9913783.9321.58798.6222028756.0674.213705.2213062.381948.243378.033438.53314.00143.871830.73216878966.21.37264.150.60721.78718.384492.814500.45317.2811476331.7335.610477.0910548.86875.54705.25688.55265.1790.13754.22172587430.1182.932.80436.04121.012220.581973.71768.16OpenBenchmarking.org

LuxCoreRender OpenCL

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on OpenCL accelerators/GPUs. The alternative luxcorerender test profile is for CPU execution due to a difference in tests, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: Rainbow Colors and PrismGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRadeon VII510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.13, N = 12SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 4SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 4SE +/- 0.18, N = 4SE +/- 1.58, N = 125.416.625.384.233.932.735.585.615.017.9711.3210.9810.219.249.1412.3312.7321.58MIN: 4.66 / MAX: 5.64MIN: 5.17 / MAX: 6.91MIN: 1.63 / MAX: 5.69MIN: 3.57 / MAX: 4.38MIN: 3.46 / MAX: 4.06MIN: 2.15 / MAX: 2.83MIN: 4.65 / MAX: 5.8MIN: 5.07 / MAX: 5.86MIN: 3.24 / MAX: 5.25MIN: 6.98 / MAX: 8.23MIN: 10.46 / MAX: 11.82MIN: 9.7 / MAX: 11.42MIN: 9.44 / MAX: 10.58MIN: 8.34 / MAX: 9.72MIN: 7.66 / MAX: 9.61MIN: 11.33 / MAX: 12.81MIN: 11.95 / MAX: 14MIN: 2.49 / MAX: 24.56

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 BandwidthGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRadeon VIIRX Vega 562004006008001000SE +/- 0.04, N = 10SE +/- 0.04, N = 11SE +/- 0.01, N = 11SE +/- 0.11, N = 15SE +/- 0.06, N = 12SE +/- 0.02, N = 13SE +/- 0.06, N = 11SE +/- 0.16, N = 12SE +/- 0.12, N = 12SE +/- 0.15, N = 12SE +/- 0.06, N = 13SE +/- 0.05, N = 13SE +/- 0.10, N = 13SE +/- 0.07, N = 13SE +/- 0.14, N = 13SE +/- 0.46, N = 12SE +/- 0.05, N = 13SE +/- 0.36, N = 6SE +/- 0.11, N = 5147.66197.20198.18223.14105.31156.86158.15276.35234.91276.94368.94369.30369.62369.23405.92506.90530.79798.62317.281. (CXX) g++ options: -O3 -rdynamic -lOpenCL

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 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRadeon VIIRX Vega 565K10K15K20K25KSE +/- 28.32, N = 3SE +/- 85.75, N = 3SE +/- 57.21, N = 3SE +/- 6.17, N = 3SE +/- 19.16, N = 3SE +/- 3.38, N = 3SE +/- 54.30, N = 3SE +/- 56.77, N = 3SE +/- 64.75, N = 3SE +/- 61.94, N = 3SE +/- 70.73, N = 3SE +/- 28.58, N = 3SE +/- 77.45, N = 3SE +/- 79.08, N = 3SE +/- 55.16, N = 3SE +/- 20.50, N = 3SE +/- 147.71, N = 3SE +/- 83.59, N = 35933975099471266231015151589573667733102901233512311147301544217501218392242422028114761. (CXX) g++ options: -flto -pthread

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: ReadGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRadeon VIIRX Vega 56160320480640800SE +/- 0.02, N = 5SE +/- 0.03, N = 6SE +/- 0.03, N = 6SE +/- 0.08, N = 6SE +/- 0.04, N = 4SE +/- 0.04, N = 5SE +/- 0.02, N = 5SE +/- 0.07, N = 7SE +/- 0.07, N = 6SE +/- 0.08, N = 7SE +/- 0.13, N = 8SE +/- 0.10, N = 8SE +/- 0.09, N = 8SE +/- 0.42, N = 8SE +/- 0.11, N = 8SE +/- 0.13, N = 8SE +/- 0.13, N = 9SE +/- 0.86, N = 8SE +/- 0.04, N = 7154.4206.2206.2229.6108.7167.0163.9296.6251.2297.4396.8396.9396.8396.5437.6545.7567.7756.0331.71. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRadeon VIIRX Vega 56150300450600750SE +/- 0.02, N = 5SE +/- 0.03, N = 6SE +/- 0.03, N = 6SE +/- 0.09, N = 6SE +/- 0.02, N = 4SE +/- 0.04, N = 5SE +/- 0.04, N = 5SE +/- 0.36, N = 7SE +/- 0.14, N = 6SE +/- 0.46, N = 7SE +/- 0.29, N = 8SE +/- 0.29, N = 8SE +/- 0.29, N = 8SE +/- 0.51, N = 8SE +/- 0.27, N = 8SE +/- 0.21, N = 8SE +/- 0.97, N = 9SE +/- 0.26, N = 8SE +/- 0.02, N = 7148.1199.5198.2225.6104.4145.8157.3240.7223.9258.7341.3328.5322.9338.1352.9449.5491.7674.2335.61. (CC) gcc options: -O2 -flto -lOpenCL

clpeak

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

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRadeon VIIRX Vega 563K6K9K12K15KSE +/- 76.28, N = 15SE +/- 112.12, N = 15SE +/- 3.15, N = 13SE +/- 104.59, N = 15SE +/- 21.41, N = 13SE +/- 49.35, N = 15SE +/- 27.06, N = 12SE +/- 43.47, N = 15SE +/- 56.79, N = 15SE +/- 67.09, N = 15SE +/- 85.70, N = 15SE +/- 92.93, N = 15SE +/- 77.74, N = 15SE +/- 73.37, N = 15SE +/- 38.81, N = 13SE +/- 177.79, N = 15SE +/- 206.22, N = 15SE +/- 0.30, N = 6SE +/- 2.21, N = 64110.716093.026788.408218.622673.644123.664543.644440.234778.235417.557034.777265.918540.739161.1810264.3813536.2514178.8513705.2210477.091. (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 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRadeon VIIRX Vega 563K6K9K12K15KSE +/- 2.22, N = 13SE +/- 12.17, N = 15SE +/- 2.95, N = 12SE +/- 11.17, N = 14SE +/- 0.54, N = 12SE +/- 1.39, N = 13SE +/- 5.87, N = 13SE +/- 8.38, N = 13SE +/- 6.62, N = 13SE +/- 6.45, N = 13SE +/- 2.35, N = 13SE +/- 10.00, N = 13SE +/- 4.39, N = 14SE +/- 14.62, N = 14SE +/- 8.02, N = 14SE +/- 66.33, N = 15SE +/- 619.26, N = 15SE +/- 0.78, N = 4SE +/- 1.37, N = 44355.286476.927018.908520.973441.364943.065259.295462.595821.197222.288159.158357.969630.8310812.5211758.6516061.0915032.4713062.3810548.861. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRadeon VIIRX Vega 565001000150020002500SE +/- 0.68, N = 7SE +/- 1.14, N = 8SE +/- 0.27, N = 8SE +/- 0.60, N = 8SE +/- 0.31, N = 7SE +/- 0.61, N = 7SE +/- 0.61, N = 7SE +/- 1.11, N = 8SE +/- 0.87, N = 8SE +/- 2.01, N = 8SE +/- 1.35, N = 8SE +/- 1.79, N = 8SE +/- 1.66, N = 8SE +/- 1.77, N = 8SE +/- 1.80, N = 9SE +/- 1.58, N = 8SE +/- 2.36, N = 8SE +/- 1.02, N = 4SE +/- 1.27, N = 4775.731052.641070.901154.13573.67740.17858.901080.111038.861285.581585.761575.651712.751726.601815.922406.162544.671948.24875.54

Rodinia

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle FilterGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX48121620SE +/- 0.012, N = 4SE +/- 0.019, N = 6SE +/- 0.006, N = 6SE +/- 0.018, N = 6SE +/- 0.004, N = 3SE +/- 0.021, N = 4SE +/- 0.015, N = 4SE +/- 0.009, N = 5SE +/- 0.016, N = 5SE +/- 0.004, N = 5SE +/- 0.008, N = 6SE +/- 0.005, N = 6SE +/- 0.011, N = 6SE +/- 0.008, N = 7SE +/- 0.006, N = 7SE +/- 0.009, N = 8SE +/- 0.008, N = 812.0028.2057.7916.45717.82312.48711.89311.48210.8478.8367.9147.7676.8376.1965.7184.4144.2501. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl

Mixbench

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

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: Double PrecisionGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRadeon VIIRX Vega 567001400210028003500SE +/- 0.23, N = 13SE +/- 0.06, N = 13SE +/- 0.08, N = 14SE +/- 0.15, N = 14SE +/- 0.01, N = 12SE +/- 0.15, N = 13SE +/- 0.14, N = 13SE +/- 0.22, N = 13SE +/- 0.12, N = 13SE +/- 0.00, N = 13SE +/- 0.01, N = 13SE +/- 0.11, N = 15SE +/- 0.00, N = 14SE +/- 0.56, N = 14SE +/- 0.08, N = 15SE +/- 0.56, N = 15SE +/- 1.13, N = 14SE +/- 0.12, N = 4SE +/- 0.10, N = 4150.48224.82241.99296.6691.77132.75141.25144.30155.78194.80222.15226.65259.11290.13315.03436.81454.373378.03705.251. (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: Double-Precision DoubleGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRadeon VIIRX Vega 567001400210028003500SE +/- 0.23, N = 3SE +/- 0.38, N = 4SE +/- 0.06, N = 3SE +/- 0.60, N = 3SE +/- 0.27, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.46, N = 3SE +/- 0.58, N = 3SE +/- 0.69, N = 3SE +/- 0.71, N = 3SE +/- 0.00, N = 3SE +/- 0.91, N = 3SE +/- 0.03, N = 3SE +/- 1.30, N = 3SE +/- 1.32, N = 3SE +/- 0.17, N = 5SE +/- 1.11, N = 3150.68223.60242.70298.46109.20157.98168.56172.49184.34232.17261.89267.79308.86345.11376.32522.22548.263438.53688.551. (CXX) g++ options: -O3 -rdynamic -lOpenCL

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRadeon VIIRX Vega 562004006008001000SE +/- 0.09, N = 4SE +/- 0.44, N = 4SE +/- 0.07, N = 4SE +/- 0.35, N = 4SE +/- 0.34, N = 4SE +/- 0.08, N = 4SE +/- 0.07, N = 4SE +/- 0.17, N = 4SE +/- 0.06, N = 4SE +/- 0.19, N = 4SE +/- 0.28, N = 5SE +/- 0.29, N = 5SE +/- 0.28, N = 5SE +/- 0.58, N = 5SE +/- 0.50, N = 5SE +/- 1.41, N = 5SE +/- 0.80, N = 5SE +/- 0.40, N = 3SE +/- 0.30, N = 3227.23314.83331.84398.82201.27269.17289.42298.77313.08390.07438.26444.84500.26544.54588.04753.75775.69314.00265.17

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 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX60120180240300SE +/- 0.16, N = 3SE +/- 0.46, N = 3SE +/- 0.06, N = 3SE +/- 0.41, N = 3SE +/- 0.05, N = 3SE +/- 0.21, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.42, N = 3SE +/- 0.54, N = 3SE +/- 0.32, N = 3SE +/- 0.34, N = 3SE +/- 1.06, N = 3SE +/- 0.92, N = 3SE +/- 0.82, N = 3SE +/- 1.17, N = 3SE +/- 0.85, N = 3102.27139.50137.14151.5775.8182.05125.62135.61138.56178.47200.77199.87221.73235.53248.01290.72292.16

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRadeon VIIRX Vega 5650100150200250SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.21, N = 3SE +/- 0.25, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 379.13108.46108.23112.2859.3773.1787.25100.5198.99125.23146.90147.87149.69151.99159.79212.11227.30143.8790.13

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRadeon VIIRX Vega 566001200180024003000SE +/- 2.10, N = 6SE +/- 3.20, N = 7SE +/- 0.31, N = 7SE +/- 1.79, N = 7SE +/- 0.63, N = 7SE +/- 0.88, N = 6SE +/- 1.27, N = 7SE +/- 0.83, N = 7SE +/- 1.12, N = 7SE +/- 0.92, N = 7SE +/- 3.83, N = 8SE +/- 3.47, N = 8SE +/- 2.51, N = 8SE +/- 2.80, N = 7SE +/- 6.26, N = 8SE +/- 1.82, N = 7SE +/- 1.27, N = 8SE +/- 0.42, N = 3SE +/- 0.60, N = 3987.071392.461485.781665.72814.501080.431199.661380.681427.431719.712012.371996.602287.032322.392432.732751.852856.831830.73754.22

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: DLSCGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 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 +/- 0.00, 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 +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.782.462.552.451.731.612.562.632.513.344.204.174.444.324.385.675.98MIN: 1.64 / MAX: 1.82MIN: 2.29 / MAX: 2.51MIN: 2.31 / MAX: 2.62MIN: 2.29 / MAX: 2.5MIN: 1.64 / MAX: 1.78MIN: 1.43 / MAX: 1.65MIN: 2.31 / MAX: 2.64MIN: 2.55 / MAX: 2.68MIN: 2.26 / MAX: 2.58MIN: 3.13 / MAX: 3.41MIN: 4.1 / MAX: 4.33MIN: 4.09 / MAX: 4.28MIN: 4.11 / MAX: 4.55MIN: 4.11 / MAX: 4.45MIN: 3.78 / MAX: 4.5MIN: 5.22 / MAX: 5.74MIN: 4.3 / MAX: 6.07

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: GPUGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRadeon VIIRX Vega 56100M200M300M400M500MSE +/- 339240.54, N = 6SE +/- 327094.24, N = 7SE +/- 459096.61, N = 7SE +/- 528438.95, N = 8SE +/- 92918.17, N = 6SE +/- 421595.14, N = 7SE +/- 481764.73, N = 7SE +/- 173522.04, N = 7SE +/- 340263.98, N = 7SE +/- 1119740.36, N = 8SE +/- 1074135.38, N = 8SE +/- 2064512.42, N = 8SE +/- 1663935.40, N = 9SE +/- 1245853.73, N = 9SE +/- 2703218.20, N = 9SE +/- 2765042.11, N = 10SE +/- 2829613.77, N = 10SE +/- 793496.27, N = 7SE +/- 247337.09, N = 6130290433.8184077179.7194875210.8231826397.8132266243.9186025762.6193795979.5200846066.4210891296.2252924048.7281931310.0284631717.4323061985.4345359936.4374422420.6448915216.6480798376.6216878966.2172587430.11. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

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 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX1.12282.24563.36844.49125.614SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 31.532.122.242.131.511.362.202.262.112.793.543.493.693.553.624.754.99MIN: 0.23 / MAX: 1.72MIN: 0.27 / MAX: 2.4MIN: 0.27 / MAX: 2.52MIN: 0.27 / MAX: 2.39MIN: 0.27 / MAX: 1.68MIN: 0.23 / MAX: 1.51MIN: 0.32 / MAX: 2.47MIN: 0.27 / MAX: 2.54MIN: 0.23 / MAX: 2.4MIN: 0.27 / MAX: 3.18MIN: 0.27 / MAX: 4.03MIN: 0.27 / MAX: 3.96MIN: 0.27 / MAX: 4.23MIN: 0.27 / MAX: 4.09MIN: 0.27 / MAX: 4.17MIN: 0.32 / MAX: 5.39MIN: 0.32 / MAX: 5.69

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: FoodGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRadeon VII0.50181.00361.50542.00722.509SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 4SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 4SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 120.650.920.980.990.670.810.991.091.071.171.331.301.901.871.932.232.231.37MIN: 0.22 / MAX: 0.74MIN: 0.23 / MAX: 1.06MIN: 0.24 / MAX: 1.14MIN: 0.24 / MAX: 1.15MIN: 0.22 / MAX: 0.8MIN: 0.24 / MAX: 0.93MIN: 0.24 / MAX: 1.16MIN: 0.25 / MAX: 1.26MIN: 0.25 / MAX: 1.23MIN: 0.26 / MAX: 1.39MIN: 0.29 / MAX: 1.53MIN: 0.29 / MAX: 1.49MIN: 0.28 / MAX: 2.24MIN: 0.25 / MAX: 2.25MIN: 0.29 / MAX: 2.33MIN: 0.32 / MAX: 2.65MIN: 0.25 / MAX: 2.7MIN: 0.06 / MAX: 1.75

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: CopyGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRadeon VIIRX Vega 5670140210280350SE +/- 0.02, N = 5SE +/- 0.02, N = 6SE +/- 0.03, N = 6SE +/- 0.02, N = 6SE +/- 0.00, N = 4SE +/- 0.00, N = 5SE +/- 0.17, N = 5SE +/- 0.05, N = 7SE +/- 0.06, N = 6SE +/- 0.06, N = 7SE +/- 0.06, N = 8SE +/- 0.09, N = 8SE +/- 0.07, N = 8SE +/- 0.06, N = 8SE +/- 0.05, N = 8SE +/- 0.10, N = 8SE +/- 0.08, N = 9SE +/- 0.51, N = 8SE +/- 0.25, N = 7138.5183.3184.1207.499.2143.8145.9240.2211.1239.4288.0284.4292.1290.0301.7324.0322.7264.1182.91. (CC) gcc options: -O2 -flto -lOpenCL

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Training - Network: Mobilenet - Device: OpenCLGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTX4080120160200SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.14, N = 3SE +/- 0.17, N = 3SE +/- 0.11, N = 3SE +/- 0.20, N = 3SE +/- 0.09, N = 3SE +/- 0.19, N = 3SE +/- 0.21, N = 383.52103.7999.6499.8265.5977.1097.94111.39108.06125.33154.81153.03154.74154.35158.82187.73198.37

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 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRadeon VIIRX Vega 5620406080100SE +/- 0.32, N = 11SE +/- 0.23, N = 11SE +/- 0.38, N = 11SE +/- 0.21, N = 11SE +/- 0.21, N = 11SE +/- 0.27, N = 11SE +/- 0.25, N = 11SE +/- 0.37, N = 11SE +/- 0.37, N = 11SE +/- 0.29, N = 11SE +/- 0.24, N = 11SE +/- 0.47, N = 11SE +/- 0.44, N = 11SE +/- 0.38, N = 11SE +/- 0.41, N = 11SE +/- 0.39, N = 11SE +/- 0.57, N = 11SE +/- 0.40, N = 8SE +/- 0.28, N = 1261.6566.2169.1870.6962.9667.9367.8268.1570.0373.3172.5072.5774.4574.7376.1075.7976.6450.6132.801. (CXX) g++ options: -rdynamic -lOpenCL

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 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRadeon VIIRX Vega 56612182430SE +/- 0.317433, N = 15SE +/- 0.209293, N = 15SE +/- 0.003359, N = 15SE +/- 0.003290, N = 15SE +/- 0.002491, N = 14SE +/- 0.001228, N = 14SE +/- 0.001244, N = 14SE +/- 0.001295, N = 14SE +/- 0.001932, N = 14SE +/- 0.000959, N = 14SE +/- 0.015324, N = 15SE +/- 0.001589, N = 14SE +/- 0.014259, N = 15SE +/- 0.001547, N = 14SE +/- 0.003249, N = 15SE +/- 0.001717, N = 14SE +/- 0.001983, N = 15SE +/- 0.017186, N = 15SE +/- 0.023715, N = 1313.3400008.9680007.2980006.98100024.14528516.57778515.25900015.27100014.38500012.55500010.49800010.2540008.2630007.6570006.8110006.0200005.7010001.7870006.0410001. (CXX) g++ options: -O3 -lOpenCL

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 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRadeon VIIRX Vega 56510152025SE +/- 0.003, N = 10SE +/- 0.004, N = 10SE +/- 0.001, N = 10SE +/- 0.002, N = 10SE +/- 0.003, N = 10SE +/- 0.002, N = 10SE +/- 0.002, N = 10SE +/- 0.001, N = 10SE +/- 0.001, N = 10SE +/- 0.002, N = 10SE +/- 0.001, N = 10SE +/- 0.002, N = 10SE +/- 0.001, N = 10SE +/- 0.001, N = 10SE +/- 0.001, N = 10SE +/- 0.005, N = 10SE +/- 0.001, N = 10SE +/- 0.009, N = 4SE +/- 0.005, N = 45.0004.0773.8143.3876.8084.4454.5412.6423.0682.6592.0832.0972.0712.0751.9001.6771.66618.38021.0101. (CXX) g++ options: -rdynamic

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 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRadeon VIIRX Vega 564K8K12K16K20KSE +/- 2.70, N = 14SE +/- 0.96, N = 13SE +/- 0.83, N = 14SE +/- 6.51, N = 15SE +/- 0.52, N = 12SE +/- 0.38, N = 13SE +/- 0.61, N = 13SE +/- 7.30, N = 13SE +/- 50.53, N = 15SE +/- 14.13, N = 13SE +/- 2.40, N = 13SE +/- 1.82, N = 13SE +/- 1.47, N = 14SE +/- 1.20, N = 14SE +/- 11.48, N = 14SE +/- 11.06, N = 14SE +/- 63.55, N = 15SE +/- 0.17, N = 4SE +/- 0.18, N = 41354.142019.082157.312655.583466.724975.185303.515432.405803.637275.338218.028362.869696.3810930.5611752.1116323.9416979.994492.812220.581. (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 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRadeon VIIRX Vega 563K6K9K12K15KSE +/- 10.83, N = 15SE +/- 6.03, N = 12SE +/- 0.30, N = 10SE +/- 7.00, N = 10SE +/- 1.93, N = 13SE +/- 41.07, N = 15SE +/- 10.20, N = 12SE +/- 6.44, N = 12SE +/- 49.36, N = 15SE +/- 65.66, N = 15SE +/- 81.72, N = 15SE +/- 83.63, N = 15SE +/- 66.40, N = 12SE +/- 51.79, N = 12SE +/- 58.52, N = 13SE +/- 23.37, N = 12SE +/- 169.21, N = 15SE +/- 1.12, N = 5SE +/- 0.05, N = 41275.121695.792076.452430.552641.384128.394338.674280.554734.365356.846930.217133.778484.419141.2310266.7213629.3713783.934500.451973.711. (CXX) g++ options: -O3 -rdynamic -lOpenCL

Meta Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per WattsRadeon VIIRX Vega 56300600900120015001568.931383.70

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: OpenCLRX Vega 56170340510680850SE +/- 7.70, N = 9768.16

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringGTX 1060GTX 1070GTX 1070 TiGTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRadeon VIIRX Vega 561632486480Min: 32 / Avg: 52.77 / Max: 69Min: 29 / Avg: 59.81 / Max: 78Min: 32 / Avg: 45.46 / Max: 58Min: 28 / Avg: 61.17 / Max: 83Min: 27 / Avg: 49.62 / Max: 67Min: 30 / Avg: 50.85 / Max: 66Min: 30 / Avg: 51.27 / Max: 76Min: 33 / Avg: 55.48 / Max: 68Min: 29 / Avg: 48.98 / Max: 66Min: 29 / Avg: 51.56 / Max: 73Min: 33 / Avg: 53.72 / Max: 74Min: 29 / Avg: 54.87 / Max: 76Min: 29 / Avg: 50.76 / Max: 71Min: 28 / Avg: 62.06 / Max: 83Min: 28 / Avg: 49.61 / Max: 73Min: 29 / Avg: 56.11 / Max: 78Min: 35 / Avg: 55.61 / Max: 78Min: 31 / Avg: 50.09 / Max: 76Min: 39 / Avg: 59.17 / Max: 75

GPU Power Consumption Monitor

OpenBenchmarking.orgWattsGPU Power Consumption MonitorPhoronix Test Suite System MonitoringGTX 1060GTX 1070GTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiTITAN RTXRadeon VIIRX Vega 5660120180240300Min: 6.24 / Avg: 64.43 / Max: 128.04Min: 6.84 / Avg: 82.21 / Max: 159.92Min: 6.47 / Avg: 92.36 / Max: 196.24Min: 5.55 / Avg: 37.62 / Max: 70.94Min: 6.47 / Avg: 47.87 / Max: 99.24Min: 6.72 / Avg: 45.57 / Max: 122.32Min: 10.68 / Avg: 67.65 / Max: 128.36Min: 7.22 / Avg: 59.54 / Max: 132.74Min: 9.59 / Avg: 74.07 / Max: 165.3Min: 9.27 / Avg: 88.74 / Max: 180.97Min: 7.57 / Avg: 85.38 / Max: 180.92Min: 14.36 / Avg: 96.17 / Max: 217.58Min: 13.71 / Avg: 103.45 / Max: 219.93Min: 8.85 / Avg: 91.93 / Max: 248.16Min: 5.74 / Avg: 124.11 / Max: 273.84Min: 24.02 / Avg: 126.58 / Max: 312.98Min: 20 / Avg: 94.25 / Max: 260Min: 8 / Avg: 86.42 / Max: 167