NVIDIA AMD Linux GPU Compute December 2018

NVIDIA and AMD GPU Linux compute benchmarks December 2018 by Michael Larabel for a future article..

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Date
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  Test
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GTX 1070
December 08 2018
  39 Minutes
GTX 1070 Ti
December 08 2018
  37 Minutes
GTX 1080
December 07 2018
  37 Minutes
GTX 1080 Ti
December 08 2018
  30 Minutes
RTX 2070
December 07 2018
  13 Minutes
RTX 2080
December 07 2018
  32 Minutes
RTX 2080 Ti
December 07 2018
  28 Minutes
R9 Fury
December 07 2018
  17 Minutes
RX Vega 56
December 07 2018
  17 Minutes
RX Vega 64
December 07 2018
  18 Minutes
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  27 Minutes

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NVIDIA AMD Linux GPU Compute December 2018ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionDisplay DriverRX Vega 56RX Vega 64R9 FuryGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 1070Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads)ASUS PRIME Z390-A (0602 BIOS)Intel Cannon Lake PCH Shared SRAM16384MB2000GB SABRENT + Samsung SSD 970 EVO 250GBAMD Radeon RX Vega 8GB (1590/800MHz)Realtek ALC1220Acer B286HKIntel ConnectionUbuntu 18.044.19.5-041905-generic (x86_64)GNOME Shell 3.28.3X Server 1.19.64.5 Mesa 19.0.0-devel padoka PPA (LLVM 8.0.0)OpenCL 2.1 AMD-APP (2679.0)1.1.70GCC 7.3.0ext43840x2160AMD Radeon RX Vega 8GB (1630/945MHz)Sapphire AMD Radeon R9 FURY / NANO 4GB (1000/500MHz)NVIDIA GeForce GTX 1080 8GB (1607/5005MHz)NVIDIA 415.224.6.0OpenCL 1.2 CUDA 10.0.1321.1.84GCC 7.3.0 + CUDA 10.0NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz)Zotac NVIDIA GeForce RTX 2080 8GB (1515/7000MHz)eVGA NVIDIA GeForce RTX 2070 8GB (1410/7000MHz)NVIDIA GeForce GTX 1080 Ti 11GB (1480/5508MHz)Zotac NVIDIA GeForce GTX 1070 Ti 8GB (1607/4006MHz)NVIDIA GeForce GTX 1070 8GB (1506/4006MHz)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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: intel_pstate performanceSecurity Details- __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccompOpenCL Details- GTX 1080: GPU Compute Cores: 2560- RTX 2080 Ti: GPU Compute Cores: 4352- RTX 2080: GPU Compute Cores: 2944- RTX 2070: GPU Compute Cores: 2304- GTX 1080 Ti: GPU Compute Cores: 3584- GTX 1070 Ti: GPU Compute Cores: 2432- GTX 1070: GPU Compute Cores: 1920

RX Vega 56RX Vega 64R9 FuryGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 1070Result OverviewPhoronix Test Suite100%175%250%325%400%clpeakSHOC Scalable HeterOgeneous ComputingLuxMarkcl-mem

NVIDIA AMD Linux GPU Compute December 2018ngc-tensorflow: AlexNet, FP32ngc-tensorflow: VGG-16, FP16ngc-tensorflow: ResNet-50, FP16shoc: OpenCL - FFT SPshoc: OpenCL - Texture Read Bandwidthngc-tensorflow: Inception v4, FP16clpeak: Integer Compute INTclpeak: Kernel Latencycuda-mini-nbody: Originalngc-tensorflow: Googlenet, FP16ngc-tensorflow: ResNet-50, FP32ngc-tensorflow: VGG-16, FP32ngc-tensorflow: AlexNet, FP16shoc: OpenCL - MD5 Hashv-ray: CUDA GPUcl-mem: Copyluxmark: GPU - Luxball HDRRX Vega 56RX Vega 64R9 FuryGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 107092638419916.9814.0320331179107044224916.9416.532213281584625014305.689.2020523448176493.1319357553055.0324373.7211145814382.90187514.17102.07209138233344206.9744914431134135.90143853.574261015285152.40443235.8656.09454426932419153.3333510831119102.77100593.48304738205108.57315324.3772.07328296412174309998110180073.5224419.2966.02330300912539131.3727197259574.6333213.80186629210119.50267419.9666.4131721562159184.4317549743349.2320823.6611241313376.40168311.6386.3018816886151676.9316045245144.7716923.7491.9937512571.57156310.7290.4318717288OpenBenchmarking.org

NVIDIA GPU Cloud TensorFlow

This test profile uses the NVIDIA GPU Cloud (NGC/nvcr.io) for running the TensorFlow image inside Docker for benchmarking. You must have already signed into NGC for this test profile to work. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP32GTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 10807001400210028003500SE +/- 0.44, N = 3SE +/- 0.32, N = 3SE +/- 1.83, N = 3SE +/- 1.84, N = 3SE +/- 6.99, N = 3SE +/- 1.62, N = 31516159125392174241933441764

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP16GTX 1070GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 TiGTX 108050100150200250SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.24, N = 376.9384.43131.37153.33206.9793.13

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP16GTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080100200300400500SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.85, N = 3SE +/- 0.28, N = 3SE +/- 0.10, N = 3160175271309335449193

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: FFT SPGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080R9 FuryRX Vega 64RX Vega 5630060090012001500SE +/- 0.94, N = 3SE +/- 0.73, N = 3SE +/- 1.23, N = 3SE +/- 40.79, N = 3SE +/- 5.95, N = 3SE +/- 14.24, N = 3SE +/- 2.68, N = 3SE +/- 0.09, N = 3SE +/- 0.64, N = 3SE +/- 1.57, N = 3452497972998108314435758461070926-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-lSHOCCommonOpenCL -lOpenCL-lSHOCCommonOpenCL -lOpenCL-lSHOCCommonOpenCL -lOpenCL1. (CXX) g++ options: -O2 -lSHOCCommon -lrt

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Texture Read BandwidthGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080R9 FuryRX Vega 64RX Vega 562004006008001000SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 2.41, N = 3SE +/- 1.33, N = 3SE +/- 3.18, N = 3SE +/- 3.81, N = 3SE +/- 0.39, N = 3SE +/- 1.14, N = 3SE +/- 1.72, N = 3SE +/- 0.54, N = 3451433595110111191134530250442384-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-lSHOCCommonOpenCL -lOpenCL-lSHOCCommonOpenCL -lOpenCL-lSHOCCommonOpenCL -lOpenCL1. (CXX) g++ options: -O2 -lSHOCCommon -lrt

NVIDIA GPU Cloud TensorFlow

This test profile uses the NVIDIA GPU Cloud (NGC/nvcr.io) for running the TensorFlow image inside Docker for benchmarking. You must have already signed into NGC for this test profile to work. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Inception v4, FP16GTX 1070GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 TiGTX 1080306090120150SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 344.7749.2374.63102.77135.9055.03

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 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080R9 FuryRX Vega 64RX Vega 563K6K9K12K15KSE +/- 9.42, N = 3SE +/- 0.67, N = 3SE +/- 12.10, N = 3SE +/- 552.67, N = 3SE +/- 601.95, N = 3SE +/- 946.18, N = 3SE +/- 8.46, N = 3SE +/- 0.00, N = 3SE +/- 1.38, N = 3SE +/- 1.96, N = 3169220823321800710059143852437143024911991

OpenBenchmarking.orgus, Fewer Is BetterclpeakOpenCL Test: Kernel LatencyGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080R9 FuryRX Vega 64RX Vega 56246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.743.663.803.523.483.573.725.686.946.98

CUDA Mini-Nbody

OpenBenchmarking.org(NBody^2)/s, More Is BetterCUDA Mini-Nbody 2015-11-10Test: OriginalGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 108090180270360450SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.19, N = 3SE +/- 0.61, N = 3SE +/- 0.92, N = 3SE +/- 0.80, N = 3SE +/- 0.17, N = 391.99112.00186.00244.00304.00426.00111.00

NVIDIA GPU Cloud TensorFlow

This test profile uses the NVIDIA GPU Cloud (NGC/nvcr.io) for running the TensorFlow image inside Docker for benchmarking. You must have already signed into NGC for this test profile to work. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Googlenet, FP16GTX 1070GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 TiGTX 10802004006008001000SE +/- 0.35, N = 3SE +/- 0.09, N = 3SE +/- 2.49, N = 3SE +/- 0.58, N = 3SE +/- 0.49, N = 3SE +/- 0.21, N = 33754136297381015458

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP32GTX 1070GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 TiGTX 108060120180240300SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.19, N = 3SE +/- 0.28, N = 3SE +/- 0.44, N = 3SE +/- 0.07, N = 3125133210205285143

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP32GTX 1070GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 TiGTX 1080306090120150SE +/- 0.13, N = 3SE +/- 0.00, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.00, N = 371.5776.40119.50108.57152.4082.90

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP16GTX 1070GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 TiGTX 108010002000300040005000SE +/- 2.26, N = 3SE +/- 0.50, N = 3SE +/- 1.32, N = 3SE +/- 3.35, N = 3SE +/- 2.27, N = 3SE +/- 2.60, N = 3156316832674315344321875

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: MD5 HashGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080R9 FuryRX Vega 64RX Vega 56816243240SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.34, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 310.7211.6319.9619.2924.3735.8614.179.2016.5314.03-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-lSHOCCommonOpenCL -lOpenCL-lSHOCCommonOpenCL -lOpenCL-lSHOCCommonOpenCL -lOpenCL1. (CXX) g++ options: -O2 -lSHOCCommon -lrt

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterChaos Group V-RAY 1.1.0Mode: CUDA GPUGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 108020406080100SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 3.00, N = 3SE +/- 3.08, N = 390.4386.3066.4166.0272.0756.09102.07

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 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080R9 FuryRX Vega 64RX Vega 56100200300400500SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.39, N = 3SE +/- 0.07, N = 3SE +/- 0.47, N = 3SE +/- 0.07, N = 3SE +/- 0.21, N = 31871883173303284542092052212031. (CC) gcc options: -O2 -flto -lOpenCL

LuxMark

LuxMark is a multi-platform OpenGL benchmark using LuxRender. LuxMark supports targeting different OpenCL devices and has multiple scenes available for rendering. LuxMark is a fully open-source OpenCL program with real-world rendering examples. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: Luxball HDRGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080R9 FuryRX Vega 64RX Vega 569K18K27K36K45KSE +/- 0.58, N = 3SE +/- 0.67, N = 3SE +/- 119.86, N = 3SE +/- 2.73, N = 3SE +/- 66.64, N = 3SE +/- 29.04, N = 3SE +/- 36.02, N = 3SE +/- 570.76, N = 3SE +/- 20.53, N = 317288168862156230091296414269313823234483281531179

SHOC Scalable HeterOgeneous Computing

OpenBenchmarking.orgGB/s Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Texture Read BandwidthGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080R9 FuryRX Vega 64RX Vega 562468103.353.533.136.766.595.083.661.451.981.94

OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10System Power Consumption MonitorGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080R9 FuryRX Vega 64RX Vega 5650100150200250Min: 82.6 / Avg: 134.72 / Max: 155.3Min: 47 / Avg: 122.6 / Max: 141.5Min: 120.8 / Avg: 190.06 / Max: 216.8Min: 53.7 / Avg: 162.86 / Max: 198.7Min: 47.1 / Avg: 169.8 / Max: 202.9Min: 47.5 / Avg: 222.96 / Max: 282.7Min: 89.7 / Avg: 144.76 / Max: 164.6Min: 113.9 / Avg: 172.33 / Max: 220.8Min: 51.8 / Avg: 223.18 / Max: 249.9Min: 49.4 / Avg: 197.63 / Max: 234.4

cl-mem

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: CopyGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080R9 FuryRX Vega 64RX Vega 560.8731.7462.6193.4924.3651.361.771.773.883.532.521.401.241.021.03

OpenBenchmarking.orgWatts, Fewer Is Bettercl-mem 2017-01-13System Power Consumption MonitorGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080R9 FuryRX Vega 64RX Vega 5660120180240300Min: 82.6 / Avg: 137.43 / Max: 149.2Min: 46.1 / Avg: 105.92 / Max: 138.1Min: 120.7 / Avg: 179.53 / Max: 209Min: 43.3 / Avg: 85.23 / Max: 108.2Min: 46.4 / Avg: 92.77 / Max: 122Min: 47.1 / Avg: 180.3 / Max: 248.8Min: 115.3 / Avg: 149.23 / Max: 161.8Min: 90.3 / Avg: 165.77 / Max: 211.3Min: 52.4 / Avg: 216.5 / Max: 318.8Min: 49.6 / Avg: 196.84 / Max: 261.2

LuxMark

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080R9 FuryRX Vega 64RX Vega 5660120180240300Min: 83.1 / Avg: 176.9 / Max: 181.3Min: 146.8 / Avg: 148.92 / Max: 149.4Min: 122.9 / Avg: 241.59 / Max: 247.8Min: 78 / Avg: 225.33 / Max: 232.6Min: 101.9 / Avg: 240.83 / Max: 247.3Min: 111.1 / Avg: 315.29 / Max: 328.4Min: 90.8 / Avg: 174.24 / Max: 176.2Min: 90.4 / Avg: 249.15 / Max: 256.6Min: 53 / Avg: 323.35 / Max: 337.9Min: 51.8 / Avg: 251.16 / Max: 263.3

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080R9 FuryRX Vega 64RX Vega 561632486480Min: 31 / Avg: 61.13 / Max: 75Min: 36 / Avg: 46.92 / Max: 60Min: 33 / Avg: 66.46 / Max: 80Min: 33 / Avg: 54.57 / Max: 64Min: 35 / Avg: 66.5 / Max: 80Min: 34 / Avg: 60.3 / Max: 76Min: 45 / Avg: 63.06 / Max: 79Min: 33 / Avg: 66.96 / Max: 79Min: 28 / Avg: 52.98 / Max: 85Min: 31 / Avg: 51.02 / Max: 75

System Power Consumption Monitor

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System MonitoringGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080R9 FuryRX Vega 64RX Vega 5670140210280350Min: 41.9 / Avg: 143.92 / Max: 213.8Min: 45.9 / Avg: 127.84 / Max: 213.8Min: 43.4 / Avg: 200.91 / Max: 320.9Min: 42.1 / Avg: 146.13 / Max: 247.2Min: 43.9 / Avg: 175.16 / Max: 287.8Min: 45.5 / Avg: 208.03 / Max: 346.7Min: 42.2 / Avg: 154.56 / Max: 251.7Min: 79.9 / Avg: 160.12 / Max: 365.3Min: 48.4 / Avg: 169.45 / Max: 358.6Min: 48.8 / Avg: 143.52 / Max: 284.1

Chaos Group V-RAY

OpenBenchmarking.orgCelsius, Fewer Is BetterChaos Group V-RAY 1.1.0GPU Temperature MonitorGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 10801428425670Min: 46 / Avg: 62.55 / Max: 68Min: 38 / Avg: 47.77 / Max: 50Min: 54 / Avg: 68.11 / Max: 73Min: 53 / Avg: 60.72 / Max: 62Min: 50 / Avg: 68.2 / Max: 74Min: 46 / Avg: 60.03 / Max: 68Min: 48 / Avg: 62.93 / Max: 67

OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 1.1.0System Power Consumption MonitorGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 108050100150200250Min: 43.4 / Avg: 151.17 / Max: 164.2Min: 46.1 / Avg: 130.78 / Max: 135.6Min: 120.4 / Avg: 218.99 / Max: 231.8Min: 53.7 / Avg: 185.77 / Max: 199.3Min: 63 / Avg: 191.71 / Max: 202.8Min: 69.5 / Avg: 242.72 / Max: 272Min: 43.6 / Avg: 153.26 / Max: 165.9

CUDA Mini-Nbody

OpenBenchmarking.orgCelsius, Fewer Is BetterCUDA Mini-Nbody 2015-11-10GPU Temperature MonitorGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 10801530456075Min: 61 / Avg: 70.86 / Max: 75Min: 45 / Avg: 56.11 / Max: 60Min: 65 / Avg: 74.42 / Max: 80Min: 55 / Avg: 60.44 / Max: 64Min: 65 / Avg: 73.5 / Max: 78Min: 58 / Avg: 64 / Max: 67Min: 64 / Avg: 73.06 / Max: 79

OpenBenchmarking.orgWatts, Fewer Is BetterCUDA Mini-Nbody 2015-11-10System Power Consumption MonitorGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 108060120180240300Min: 43.7 / Avg: 194.09 / Max: 210.9Min: 47 / Avg: 185.31 / Max: 213.8Min: 50.5 / Avg: 249.72 / Max: 312.9Min: 54.3 / Avg: 215.38 / Max: 246.1Min: 48.7 / Avg: 233.61 / Max: 284Min: 49.1 / Avg: 234.64 / Max: 336Min: 43.7 / Avg: 223.02 / Max: 251.7

NVIDIA GPU Cloud TensorFlow

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP16GTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 10800.47250.9451.41751.892.36250.921.141.221.901.862.101.02

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 10801428425670Min: 58 / Avg: 65.55 / Max: 70Min: 46 / Avg: 50.94 / Max: 55Min: 61 / Avg: 68.17 / Max: 75Min: 32 / Avg: 45.47 / Max: 58Min: 60 / Avg: 67.05 / Max: 75Min: 55 / Avg: 59.52 / Max: 65Min: 61 / Avg: 68.3 / Max: 75

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 108060120180240300Min: 42.7 / Avg: 174.04 / Max: 212.6Min: 47 / Avg: 153.76 / Max: 192.3Min: 54.6 / Avg: 222.3 / Max: 319.6Min: 71.1 / Avg: 162.36 / Max: 246.8Min: 47.3 / Avg: 179.59 / Max: 284.7Min: 56.1 / Avg: 213.62 / Max: 342.3Min: 44.7 / Avg: 189.85 / Max: 248.8

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP32GTX 1070GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 TiGTX 10800.25880.51760.77641.03521.2940.730.840.890.991.150.73

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorGTX 1070GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 TiGTX 10801530456075Min: 57 / Avg: 65.61 / Max: 71Min: 44 / Avg: 50.85 / Max: 54Min: 62 / Avg: 70.04 / Max: 77Min: 59 / Avg: 70.41 / Max: 77Min: 54 / Avg: 61.16 / Max: 67Min: 60 / Avg: 68.77 / Max: 75

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1070GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 TiGTX 108060120180240300Min: 45.9 / Avg: 172.02 / Max: 213.8Min: 48 / Avg: 157.29 / Max: 187.8Min: 79.7 / Avg: 234.81 / Max: 318.6Min: 48 / Avg: 206.72 / Max: 285Min: 50.5 / Avg: 248.25 / Max: 346.7Min: 44.1 / Avg: 196.38 / Max: 249.7

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP16GTX 1070GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 TiGTX 10806121824309.8612.3912.5316.5324.9511.19

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorGTX 1070GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 TiGTX 10801428425670Min: 59 / Avg: 64.06 / Max: 67Min: 46 / Avg: 49.93 / Max: 53Min: 63 / Avg: 67.2 / Max: 70Min: 63 / Avg: 67.57 / Max: 72Min: 57 / Avg: 60.36 / Max: 64Min: 62 / Avg: 66.46 / Max: 70

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1070GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 TiGTX 108060120180240300Min: 68.9 / Avg: 158.49 / Max: 192.3Min: 46.9 / Avg: 135.79 / Max: 175Min: 51.3 / Avg: 213.37 / Max: 303.2Min: 47.3 / Avg: 190.7 / Max: 270.1Min: 49.3 / Avg: 177.62 / Max: 332.6Min: 44.1 / Avg: 167.55 / Max: 234.8

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP32GTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 108036912159.6110.9912.1911.7211.4412.999.90

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 10801530456075Min: 61 / Avg: 64.2 / Max: 68Min: 44 / Avg: 49.07 / Max: 52Min: 64 / Avg: 67.58 / Max: 71Min: 46 / Avg: 55.88 / Max: 61Min: 59 / Avg: 69.81 / Max: 76Min: 53 / Avg: 61.36 / Max: 67Min: 63 / Avg: 66.8 / Max: 71

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 108060120180240300Min: 87.1 / Avg: 157.65 / Max: 201.5Min: 48.2 / Avg: 144.76 / Max: 185.9Min: 126 / Avg: 208.21 / Max: 307.4Min: 64.2 / Avg: 185.45 / Max: 243.7Min: 48 / Avg: 211.46 / Max: 284.1Min: 48.9 / Avg: 257.45 / Max: 338.7Min: 100.9 / Avg: 178.22 / Max: 229

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Googlenet, FP16GTX 1070GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 TiGTX 10800.91581.83162.74743.66324.5792.062.532.453.214.072.13

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorGTX 1070GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 TiGTX 10801530456075Min: 56 / Avg: 69 / Max: 74Min: 43 / Avg: 52.93 / Max: 56Min: 60 / Avg: 72.84 / Max: 80Min: 60 / Avg: 73.17 / Max: 80Min: 55 / Avg: 64.78 / Max: 71Min: 58 / Avg: 72.23 / Max: 79

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1070GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 TiGTX 108060120180240300Min: 43.4 / Avg: 181.99 / Max: 210.5Min: 46.8 / Avg: 163.6 / Max: 187.8Min: 64 / Avg: 257.4 / Max: 319.4Min: 47.7 / Avg: 229.8 / Max: 284.5Min: 49.5 / Avg: 249.29 / Max: 343.1Min: 76.2 / Avg: 215.22 / Max: 247

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Inception v4, FP16GTX 1070GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 TiGTX 10800.16650.3330.49950.6660.83250.280.340.350.580.740.30

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorGTX 1070GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 TiGTX 10801530456075Min: 55 / Avg: 64.07 / Max: 72Min: 43 / Avg: 49.56 / Max: 55Min: 56 / Avg: 66.24 / Max: 77Min: 57 / Avg: 64.7 / Max: 74Min: 53 / Avg: 57.76 / Max: 65Min: 51 / Avg: 64.33 / Max: 76

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1070GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 TiGTX 108060120180240300Min: 44.1 / Avg: 157.87 / Max: 210.2Min: 47.2 / Avg: 146.22 / Max: 188.6Min: 52.2 / Avg: 211.84 / Max: 320.9Min: 47.6 / Avg: 177.11 / Max: 285.3Min: 50 / Avg: 183.11 / Max: 341.1Min: 71.3 / Avg: 185.89 / Max: 249.7

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP16GTX 1070GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 TiGTX 10800.21150.4230.63450.8461.05750.460.530.540.690.940.48

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorGTX 1070GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 TiGTX 10801530456075Min: 59 / Avg: 66.13 / Max: 70Min: 45 / Avg: 52.18 / Max: 55Min: 61 / Avg: 70.1 / Max: 76Min: 59 / Avg: 69.86 / Max: 77Min: 54 / Avg: 61.56 / Max: 68Min: 50 / Avg: 65.84 / Max: 74

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1070GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 TiGTX 108060120180240300Min: 43.7 / Avg: 168.53 / Max: 201.8Min: 46.8 / Avg: 160.44 / Max: 192Min: 51.7 / Avg: 242.51 / Max: 313.1Min: 48.1 / Avg: 223.76 / Max: 283.3Min: 51 / Avg: 219.66 / Max: 332.2Min: 90.8 / Avg: 194.86 / Max: 239.8

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP32GTX 1070GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 TiGTX 10800.1260.2520.3780.5040.630.420.470.490.450.560.42

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorGTX 1070GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 TiGTX 10801530456075Min: 58 / Avg: 66.1 / Max: 70Min: 46 / Avg: 52.21 / Max: 55Min: 61 / Avg: 70.55 / Max: 77Min: 61 / Avg: 74.1 / Max: 80Min: 56 / Avg: 65.52 / Max: 71Min: 60 / Avg: 69.33 / Max: 74

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1070GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 TiGTX 108060120180240300Min: 54.1 / Avg: 170.77 / Max: 203.5Min: 58.5 / Avg: 162.02 / Max: 191Min: 51.2 / Avg: 241.65 / Max: 309.7Min: 55.7 / Avg: 239.26 / Max: 287.8Min: 50.2 / Avg: 270.5 / Max: 342.3Min: 46.3 / Avg: 198.19 / Max: 236.2

SHOC Scalable HeterOgeneous Computing

OpenBenchmarking.orgGFLOPS Per Dollar, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Performance / Cost - Target: OpenCL - Benchmark: FFT SPGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080RX Vega 64RX Vega 560.50851.0171.52552.0342.54251.131.111.391.671.361.201.052.252.261. GTX 1070: $399 reported cost.2. GTX 1070 Ti: $449 reported cost.3. GTX 1080 Ti: $699 reported cost.4. RTX 2070: $599 reported cost.5. RTX 2080: $798 reported cost.6. RTX 2080 Ti: $1199 reported cost.7. GTX 1080: $549 reported cost.8. RX Vega 64: $475 reported cost.9. RX Vega 56: $409 reported cost.

OpenBenchmarking.orgGHash/s Per Dollar, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Performance / Cost - Target: OpenCL - Benchmark: MD5 HashGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080RX Vega 64RX Vega 560.00680.01360.02040.02720.0340.030.030.030.030.030.030.030.030.031. GTX 1070: $399 reported cost.2. GTX 1070 Ti: $449 reported cost.3. GTX 1080 Ti: $699 reported cost.4. RTX 2070: $599 reported cost.5. RTX 2080: $798 reported cost.6. RTX 2080 Ti: $1199 reported cost.7. GTX 1080: $549 reported cost.8. RX Vega 64: $475 reported cost.9. RX Vega 56: $409 reported cost.

OpenBenchmarking.orgGB/s Per Dollar, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Performance / Cost - Target: OpenCL - Benchmark: Texture Read BandwidthGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080RX Vega 64RX Vega 560.4140.8281.2421.6562.071.130.960.851.841.400.950.970.930.941. GTX 1070: $399 reported cost.2. GTX 1070 Ti: $449 reported cost.3. GTX 1080 Ti: $699 reported cost.4. RTX 2070: $599 reported cost.5. RTX 2080: $798 reported cost.6. RTX 2080 Ti: $1199 reported cost.7. GTX 1080: $549 reported cost.8. RX Vega 64: $475 reported cost.9. RX Vega 56: $409 reported cost.

cl-mem

OpenBenchmarking.orgGB/s Per Dollar, More Is Bettercl-mem 2017-01-13Performance / Cost - Benchmark: CopyGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080RX Vega 64RX Vega 560.12380.24760.37140.49520.6190.470.420.450.550.410.380.380.470.501. GTX 1070: $399 reported cost.2. GTX 1070 Ti: $449 reported cost.3. GTX 1080 Ti: $699 reported cost.4. RTX 2070: $599 reported cost.5. RTX 2080: $798 reported cost.6. RTX 2080 Ti: $1199 reported cost.7. GTX 1080: $549 reported cost.8. RX Vega 64: $475 reported cost.9. RX Vega 56: $409 reported cost.

LuxMark

OpenBenchmarking.orgScore Per Dollar, More Is BetterLuxMark 3.1Performance / Cost - OpenCL Device: GPU - Scene: Luxball HDRGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080RX Vega 64RX Vega 562040608010043.3337.6130.8550.2437.1435.6125.1869.0876.231. GTX 1070: $399 reported cost.2. GTX 1070 Ti: $449 reported cost.3. GTX 1080 Ti: $699 reported cost.4. RTX 2070: $599 reported cost.5. RTX 2080: $798 reported cost.6. RTX 2080 Ti: $1199 reported cost.7. GTX 1080: $549 reported cost.8. RX Vega 64: $475 reported cost.9. RX Vega 56: $409 reported cost.

clpeak

OpenBenchmarking.orgus x Dollar, Fewer Is BetterclpeakPerformance / Cost - OpenCL Test: Kernel LatencyGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080RX Vega 64RX Vega 5690018002700360045001492.261643.342656.202108.482777.044280.432042.283296.502854.821. GTX 1070: $399 reported cost.2. GTX 1070 Ti: $449 reported cost.3. GTX 1080 Ti: $699 reported cost.4. RTX 2070: $599 reported cost.5. RTX 2080: $798 reported cost.6. RTX 2080 Ti: $1199 reported cost.7. GTX 1080: $549 reported cost.8. RX Vega 64: $475 reported cost.9. RX Vega 56: $409 reported cost.

OpenBenchmarking.orgGIOPS Per Dollar, More Is BetterclpeakPerformance / Cost - OpenCL Test: Integer Compute INTGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080RX Vega 64RX Vega 5636912154.244.644.7513.3712.6112.004.445.244.871. GTX 1070: $399 reported cost.2. GTX 1070 Ti: $449 reported cost.3. GTX 1080 Ti: $699 reported cost.4. RTX 2070: $599 reported cost.5. RTX 2080: $798 reported cost.6. RTX 2080 Ti: $1199 reported cost.7. GTX 1080: $549 reported cost.8. RX Vega 64: $475 reported cost.9. RX Vega 56: $409 reported cost.

59 Results Shown

NVIDIA GPU Cloud TensorFlow:
  AlexNet, FP32
  VGG-16, FP16
  ResNet-50, FP16
SHOC Scalable HeterOgeneous Computing:
  OpenCL - FFT SP
  OpenCL - Texture Read Bandwidth
NVIDIA GPU Cloud TensorFlow
clpeak:
  Integer Compute INT
  Kernel Latency
CUDA Mini-Nbody
NVIDIA GPU Cloud TensorFlow:
  Googlenet, FP16
  ResNet-50, FP32
  VGG-16, FP32
  AlexNet, FP16
SHOC Scalable HeterOgeneous Computing
Chaos Group V-RAY
cl-mem
LuxMark
SHOC Scalable HeterOgeneous Computing:
  OpenCL - Texture Read Bandwidth
  System Power Consumption Monitor
  Copy
  System Power Consumption Monitor
  System Power Consumption Monitor
  Phoronix Test Suite System Monitoring
  Phoronix Test Suite System Monitoring
  GPU Temp Monitor
  System Power Consumption Monitor
  GPU Temp Monitor
  System Power Consumption Monitor
  ResNet-50, FP16
  GPU Temp Monitor
  System Power Consumption Monitor
  ResNet-50, FP32
  GPU Temp Monitor
  System Power Consumption Monitor
  AlexNet, FP16
  GPU Temp Monitor
  System Power Consumption Monitor
  AlexNet, FP32
  GPU Temp Monitor
  System Power Consumption Monitor
  Googlenet, FP16
  GPU Temp Monitor
  System Power Consumption Monitor
  Inception v4, FP16
  GPU Temp Monitor
  System Power Consumption Monitor
  VGG-16, FP16
  GPU Temp Monitor
  System Power Consumption Monitor
  VGG-16, FP32
  GPU Temp Monitor
  System Power Consumption Monitor
  Performance / Cost - OpenCL - FFT SP
  Performance / Cost - OpenCL - MD5 Hash
  Performance / Cost - OpenCL - Texture Read Bandwidth
  Performance / Cost - Copy
  Performance / Cost - GPU - Luxball HDR
  Performance / Cost - Kernel Latency
  Performance / Cost - Integer Compute INT