NVIDIA AMD Linux GPU Compute December 2018

NVIDIA and AMD GPU Linux compute benchmarks December 2018 by Michael Larabel 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 1812085-SK-GPUCOMPUT99
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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 ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionGTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2070RTX 2080RTX 2080 TiR9 FuryRX Vega 56RX Vega 64Intel 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 250GBNVIDIA GeForce GTX 1070 8GB (1506/4006MHz)Realtek ALC1220Acer B286HKIntel ConnectionUbuntu 18.044.19.5-041905-generic (x86_64)GNOME Shell 3.28.3X Server 1.19.6NVIDIA 415.224.6.0OpenCL 1.2 CUDA 10.0.1321.1.84GCC 7.3.0 + CUDA 10.0ext43840x2160Zotac NVIDIA GeForce GTX 1070 Ti 8GB (1607/4006MHz)NVIDIA GeForce GTX 1080 8GB (1607/5005MHz)NVIDIA GeForce GTX 1080 Ti 11GB (1480/5508MHz)eVGA NVIDIA GeForce RTX 2070 8GB (1410/7000MHz)Zotac NVIDIA GeForce RTX 2080 8GB (1515/7000MHz)NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz)Sapphire AMD Radeon R9 FURY / NANO 4GB (1000/500MHz)4.5 Mesa 19.0.0-devel padoka PPA (LLVM 8.0.0)OpenCL 2.1 AMD-APP (2679.0)1.1.70GCC 7.3.0AMD Radeon RX Vega 8GB (1590/800MHz)AMD Radeon RX Vega 8GB (1630/945MHz)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 performanceOpenCL Details- GTX 1070: GPU Compute Cores: 1920- GTX 1070 Ti: GPU Compute Cores: 2432- GTX 1080: GPU Compute Cores: 2560- GTX 1080 Ti: GPU Compute Cores: 3584- RTX 2070: GPU Compute Cores: 2304- RTX 2080: GPU Compute Cores: 2944- RTX 2080 Ti: GPU Compute Cores: 4352Security Details- __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp

GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2070RTX 2080RTX 2080 TiR9 FuryRX Vega 56RX Vega 64Result OverviewPhoronix Test Suite100%175%250%325%400%clpeakSHOC Scalable HeterOgeneous ComputingLuxMarkcl-mem

NVIDIA AMD Linux GPU Compute December 2018cuda-mini-nbody: Originalshoc: OpenCL - Texture Read Bandwidthshoc: OpenCL - MD5 Hashshoc: OpenCL - FFT SPluxmark: GPU - Luxball HDRngc-tensorflow: Inception v4, FP16ngc-tensorflow: AlexNet, FP16ngc-tensorflow: ResNet-50, FP16ngc-tensorflow: Googlenet, FP16ngc-tensorflow: VGG-16, FP16cl-mem: Copyngc-tensorflow: ResNet-50, FP32ngc-tensorflow: AlexNet, FP32ngc-tensorflow: VGG-16, FP32clpeak: Kernel Latencyv-ray: CUDA GPUclpeak: Integer Compute INTGTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2070RTX 2080RTX 2080 TiR9 FuryRX Vega 56RX Vega 6491.9945110.724521728844.77156316037576.93187125151671.573.7490.43169211243311.634971688649.23168317541384.43188133159176.403.6686.30208211153014.175751382355.03187519345893.13209143176482.903.72102.07243718659519.969722156274.632674271629131.373172102539119.503.8066.413321244110119.299983009130933021743.5266.028007304111924.37108329641102.773153335738153.333282052419108.573.4872.0710059426113435.86144342693135.9044324491015206.974542853344152.403.5756.09143852509.20846234482055.68143038414.03926311792036.98199144216.531070328152216.942491OpenBenchmarking.org

NVIDIA GPU Cloud TensorFlow

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1070 TiRTX 2070GTX 1070RTX 2080GTX 1080RTX 2080 TiGTX 1080 Ti60120180240300Min: 47 / Avg: 153.76 / Max: 192.3Min: 71.1 / Avg: 162.36 / Max: 246.8Min: 42.7 / Avg: 174.04 / Max: 212.6Min: 47.3 / Avg: 179.59 / Max: 284.7Min: 44.7 / Avg: 189.85 / Max: 248.8Min: 56.1 / Avg: 213.62 / Max: 342.3Min: 54.6 / Avg: 222.3 / Max: 319.6

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1070 TiGTX 1070GTX 1080RTX 2080RTX 2080 TiGTX 1080 Ti60120180240300Min: 46.8 / Avg: 163.6 / Max: 187.8Min: 43.4 / Avg: 181.99 / Max: 210.5Min: 76.2 / Avg: 215.22 / Max: 247Min: 47.7 / Avg: 229.8 / Max: 284.5Min: 49.5 / Avg: 249.29 / Max: 343.1Min: 64 / Avg: 257.4 / Max: 319.4

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1070 TiGTX 1070GTX 1080RTX 2080GTX 1080 TiRTX 2080 Ti60120180240300Min: 48 / Avg: 157.29 / Max: 187.8Min: 45.9 / Avg: 172.02 / Max: 213.8Min: 44.1 / Avg: 196.38 / Max: 249.7Min: 48 / Avg: 206.72 / Max: 285Min: 79.7 / Avg: 234.81 / Max: 318.6Min: 50.5 / Avg: 248.25 / Max: 346.7

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1070 TiGTX 1070RTX 2080RTX 2080 TiGTX 1080GTX 1080 Ti60120180240300Min: 47.2 / Avg: 146.22 / Max: 188.6Min: 44.1 / Avg: 157.87 / Max: 210.2Min: 47.6 / Avg: 177.11 / Max: 285.3Min: 50 / Avg: 183.11 / Max: 341.1Min: 71.3 / Avg: 185.89 / Max: 249.7Min: 52.2 / Avg: 211.84 / Max: 320.9

CUDA Mini-Nbody

OpenBenchmarking.orgWatts, Fewer Is BetterCUDA Mini-Nbody 2015-11-10System Power Consumption MonitorGTX 1070 TiGTX 1070RTX 2070GTX 1080RTX 2080RTX 2080 TiGTX 1080 Ti60120180240300Min: 47 / Avg: 185.31 / Max: 213.8Min: 43.7 / Avg: 194.09 / Max: 210.9Min: 54.3 / Avg: 215.38 / Max: 246.1Min: 43.7 / Avg: 223.02 / Max: 251.7Min: 48.7 / Avg: 233.61 / Max: 284Min: 49.1 / Avg: 234.64 / Max: 336Min: 50.5 / Avg: 249.72 / Max: 312.9

NVIDIA GPU Cloud TensorFlow

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1070 TiGTX 1070GTX 1080RTX 2080 TiRTX 2080GTX 1080 Ti60120180240300Min: 46.8 / Avg: 160.44 / Max: 192Min: 43.7 / Avg: 168.53 / Max: 201.8Min: 90.8 / Avg: 194.86 / Max: 239.8Min: 51 / Avg: 219.66 / Max: 332.2Min: 48.1 / Avg: 223.76 / Max: 283.3Min: 51.7 / Avg: 242.51 / Max: 313.1

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1070 TiGTX 1070GTX 1080RTX 2080 TiRTX 2080GTX 1080 Ti60120180240300Min: 46.9 / Avg: 135.79 / Max: 175Min: 68.9 / Avg: 158.49 / Max: 192.3Min: 44.1 / Avg: 167.55 / Max: 234.8Min: 49.3 / Avg: 177.62 / Max: 332.6Min: 47.3 / Avg: 190.7 / Max: 270.1Min: 51.3 / Avg: 213.37 / Max: 303.2

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1070 TiGTX 1070GTX 1080RTX 2080GTX 1080 TiRTX 2080 Ti60120180240300Min: 58.5 / Avg: 162.02 / Max: 191Min: 54.1 / Avg: 170.77 / Max: 203.5Min: 46.3 / Avg: 198.19 / Max: 236.2Min: 55.7 / Avg: 239.26 / Max: 287.8Min: 51.2 / Avg: 241.65 / Max: 309.7Min: 50.2 / Avg: 270.5 / Max: 342.3

cl-mem

OpenBenchmarking.orgWatts, Fewer Is Bettercl-mem 2017-01-13System Power Consumption MonitorRTX 2070RTX 2080GTX 1070 TiGTX 1070GTX 1080R9 FuryGTX 1080 TiRTX 2080 TiRX Vega 56RX Vega 6460120180240300Min: 43.3 / Avg: 85.23 / Max: 108.2Min: 46.4 / Avg: 92.77 / Max: 122Min: 46.1 / Avg: 105.92 / Max: 138.1Min: 82.6 / Avg: 137.43 / Max: 149.2Min: 115.3 / Avg: 149.23 / Max: 161.8Min: 90.3 / Avg: 165.77 / Max: 211.3Min: 120.7 / Avg: 179.53 / Max: 209Min: 47.1 / Avg: 180.3 / Max: 248.8Min: 49.6 / Avg: 196.84 / Max: 261.2Min: 52.4 / Avg: 216.5 / Max: 318.8

NVIDIA GPU Cloud TensorFlow

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1070 TiGTX 1070GTX 1080RTX 2070GTX 1080 TiRTX 2080RTX 2080 Ti60120180240300Min: 48.2 / Avg: 144.76 / Max: 185.9Min: 87.1 / Avg: 157.65 / Max: 201.5Min: 100.9 / Avg: 178.22 / Max: 229Min: 64.2 / Avg: 185.45 / Max: 243.7Min: 126 / Avg: 208.21 / Max: 307.4Min: 48 / Avg: 211.46 / Max: 284.1Min: 48.9 / Avg: 257.45 / Max: 338.7

LuxMark

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorGTX 1070 TiGTX 1080GTX 1070RTX 2070RTX 2080GTX 1080 TiR9 FuryRX Vega 56RTX 2080 TiRX Vega 6460120180240300Min: 146.8 / Avg: 148.92 / Max: 149.4Min: 90.8 / Avg: 174.24 / Max: 176.2Min: 83.1 / Avg: 176.9 / Max: 181.3Min: 78 / Avg: 225.33 / Max: 232.6Min: 101.9 / Avg: 240.83 / Max: 247.3Min: 122.9 / Avg: 241.59 / Max: 247.8Min: 90.4 / Avg: 249.15 / Max: 256.6Min: 51.8 / Avg: 251.16 / Max: 263.3Min: 111.1 / Avg: 315.29 / Max: 328.4Min: 53 / Avg: 323.35 / Max: 337.9

Chaos Group V-RAY

OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 1.1.0System Power Consumption MonitorGTX 1070 TiGTX 1070GTX 1080RTX 2070RTX 2080GTX 1080 TiRTX 2080 Ti50100150200250Min: 46.1 / Avg: 130.78 / Max: 135.6Min: 43.4 / Avg: 151.17 / Max: 164.2Min: 43.6 / Avg: 153.26 / Max: 165.9Min: 53.7 / Avg: 185.77 / Max: 199.3Min: 63 / Avg: 191.71 / Max: 202.8Min: 120.4 / Avg: 218.99 / Max: 231.8Min: 69.5 / Avg: 242.72 / Max: 272

SHOC Scalable HeterOgeneous Computing

OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10System Power Consumption MonitorGTX 1070 TiGTX 1070GTX 1080RTX 2070RTX 2080R9 FuryGTX 1080 TiRX Vega 56RTX 2080 TiRX Vega 6450100150200250Min: 47 / Avg: 122.6 / Max: 141.5Min: 82.6 / Avg: 134.72 / Max: 155.3Min: 89.7 / Avg: 144.76 / Max: 164.6Min: 53.7 / Avg: 162.86 / Max: 198.7Min: 47.1 / Avg: 169.8 / Max: 202.9Min: 113.9 / Avg: 172.33 / Max: 220.8Min: 120.8 / Avg: 190.06 / Max: 216.8Min: 49.4 / Avg: 197.63 / Max: 234.4Min: 47.5 / Avg: 222.96 / Max: 282.7Min: 51.8 / Avg: 223.18 / Max: 249.9

OpenBenchmarking.orgGB/s Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Texture Read BandwidthRTX 2070RTX 2080RTX 2080 TiGTX 1080GTX 1070 TiGTX 1070GTX 1080 TiRX Vega 64RX Vega 56R9 Fury2468106.766.595.083.663.533.353.131.981.941.45

CUDA Mini-Nbody

OpenBenchmarking.org(NBody^2)/s, More Is BetterCUDA Mini-Nbody 2015-11-10Test: OriginalRTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 1080GTX 107090180270360450SE +/- 0.80, N = 3SE +/- 0.92, N = 3SE +/- 0.61, N = 3SE +/- 0.19, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3SE +/- 0.16, N = 3426.00304.00244.00186.00112.00111.0091.99

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.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Texture Read BandwidthRTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1080GTX 1070RX Vega 64GTX 1070 TiRX Vega 56R9 Fury2004006008001000SE +/- 3.81, N = 3SE +/- 3.18, N = 3SE +/- 1.33, N = 3SE +/- 2.41, N = 3SE +/- 0.39, N = 3SE +/- 0.06, N = 3SE +/- 1.72, N = 3SE +/- 0.09, N = 3SE +/- 0.54, N = 3SE +/- 1.14, N = 3113411191101595530451442433384250-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-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-lSHOCCommonOpenCL -lOpenCL-lSHOCCommonOpenCL -lOpenCL1. (CXX) g++ options: -O2 -lSHOCCommon -lrt

OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: MD5 HashRTX 2080 TiRTX 2080GTX 1080 TiRTX 2070RX Vega 64GTX 1080RX Vega 56GTX 1070 TiGTX 1070R9 Fury816243240SE +/- 0.34, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 335.8624.3719.9619.2916.5314.1714.0311.6310.729.20-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-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-lSHOCCommonOpenCL -lOpenCL-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-lSHOCCommonOpenCL -lOpenCL1. (CXX) g++ options: -O2 -lSHOCCommon -lrt

cl-mem

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: CopyRTX 2070RTX 2080RTX 2080 TiGTX 1080 TiGTX 1070 TiGTX 1080GTX 1070R9 FuryRX Vega 56RX Vega 640.8731.7462.6193.4924.3653.883.532.521.771.771.401.361.241.031.02

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 SPRTX 2080 TiRTX 2080RX Vega 64RTX 2070GTX 1080 TiRX Vega 56R9 FuryGTX 1080GTX 1070 TiGTX 107030060090012001500SE +/- 14.24, N = 3SE +/- 5.95, N = 3SE +/- 0.64, N = 3SE +/- 40.79, N = 3SE +/- 1.23, N = 3SE +/- 1.57, N = 3SE +/- 0.09, N = 3SE +/- 2.68, N = 3SE +/- 0.73, N = 3SE +/- 0.94, N = 3144310831070998972926846575497452-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-lSHOCCommonOpenCL -lOpenCL-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-lSHOCCommonOpenCL -lOpenCL-lSHOCCommonOpenCL -lOpenCL-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 -lcufft1. (CXX) g++ options: -O2 -lSHOCCommon -lrt

clpeak

OpenBenchmarking.orgGIOPS Per Dollar, More Is BetterclpeakPerformance / Cost - OpenCL Test: Integer Compute INTRTX 2070RTX 2080RTX 2080 TiRX Vega 64RX Vega 56GTX 1080 TiGTX 1070 TiGTX 1080GTX 1070369121513.3712.6112.005.244.874.754.644.444.241. RTX 2070: $599 reported cost.2. RTX 2080: $798 reported cost.3. RTX 2080 Ti: $1199 reported cost.4. RX Vega 64: $475 reported cost.5. RX Vega 56: $409 reported cost.6. GTX 1080 Ti: $699 reported cost.7. GTX 1070 Ti: $449 reported cost.8. GTX 1080: $549 reported cost.9. GTX 1070: $399 reported cost.

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 HDRRTX 2080 TiRX Vega 64RX Vega 56RTX 2070RTX 2080R9 FuryGTX 1080 TiGTX 1070GTX 1070 TiGTX 10809K18K27K36K45KSE +/- 66.64, N = 3SE +/- 570.76, N = 3SE +/- 20.53, N = 3SE +/- 2.73, N = 3SE +/- 36.02, N = 3SE +/- 119.86, N = 3SE +/- 0.58, N = 3SE +/- 0.67, N = 3SE +/- 29.04, N = 342693328153117930091296412344821562172881688613823

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, FP16RTX 2080 TiRTX 2080GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070306090120150SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3135.90102.7774.6355.0349.2344.77

LuxMark

OpenBenchmarking.orgScore Per Dollar, More Is BetterLuxMark 3.1Performance / Cost - OpenCL Device: GPU - Scene: Luxball HDRRX Vega 56RX Vega 64RTX 2070GTX 1070GTX 1070 TiRTX 2080RTX 2080 TiGTX 1080 TiGTX 10802040608010076.2369.0850.2443.3337.6137.1435.6130.8525.181. RX Vega 56: $409 reported cost.2. RX Vega 64: $475 reported cost.3. RTX 2070: $599 reported cost.4. GTX 1070: $399 reported cost.5. GTX 1070 Ti: $449 reported cost.6. RTX 2080: $798 reported cost.7. RTX 2080 Ti: $1199 reported cost.8. GTX 1080 Ti: $699 reported cost.9. GTX 1080: $549 reported cost.

clpeak

OpenBenchmarking.orgus x Dollar, Fewer Is BetterclpeakPerformance / Cost - OpenCL Test: Kernel LatencyGTX 1070GTX 1070 TiGTX 1080RTX 2070GTX 1080 TiRTX 2080RX Vega 56RX Vega 64RTX 2080 Ti90018002700360045001492.261643.342042.282108.482656.202777.042854.823296.504280.431. GTX 1070: $399 reported cost.2. GTX 1070 Ti: $449 reported cost.3. GTX 1080: $549 reported cost.4. RTX 2070: $599 reported cost.5. GTX 1080 Ti: $699 reported cost.6. RTX 2080: $798 reported cost.7. RX Vega 56: $409 reported cost.8. RX Vega 64: $475 reported cost.9. RTX 2080 Ti: $1199 reported cost.

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, FP16RTX 2080 TiRTX 2080GTX 1080 TiGTX 1080GTX 1070 TiGTX 107010002000300040005000SE +/- 2.27, N = 3SE +/- 3.35, N = 3SE +/- 1.32, N = 3SE +/- 2.60, N = 3SE +/- 0.50, N = 3SE +/- 2.26, N = 3443231532674187516831563

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP16RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1080GTX 1070 TiGTX 1070100200300400500SE +/- 0.28, N = 3SE +/- 0.85, N = 3SE +/- 0.15, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3449335309271193175160

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Googlenet, FP16RTX 2080 TiRTX 2080GTX 1080 TiGTX 1080GTX 1070 TiGTX 10702004006008001000SE +/- 0.49, N = 3SE +/- 0.58, N = 3SE +/- 2.49, N = 3SE +/- 0.21, N = 3SE +/- 0.09, N = 3SE +/- 0.35, N = 31015738629458413375

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP16RTX 2080 TiRTX 2080GTX 1080 TiGTX 1080GTX 1070 TiGTX 107050100150200250SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.24, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3206.97153.33131.3793.1384.4376.93

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Inception v4, FP16RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 1080GTX 10700.16650.3330.49950.6660.83250.740.580.350.340.300.28

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP16RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 1080GTX 107061218243024.9516.5312.5312.3911.199.86

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: CopyRTX 2080 TiRTX 2070RTX 2080GTX 1080 TiRX Vega 64GTX 1080R9 FuryRX Vega 56GTX 1070 TiGTX 1070100200300400500SE +/- 0.39, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.47, N = 3SE +/- 0.21, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 34543303283172212092052031881871. (CC) gcc options: -O2 -flto -lOpenCL

NVIDIA GPU Cloud TensorFlow

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

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP16RTX 2080 TiRTX 2070RTX 2080GTX 1080 TiGTX 1070 TiGTX 1080GTX 10700.47250.9451.41751.892.36252.101.901.861.221.141.020.92

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP32RTX 2080 TiGTX 1080 TiRTX 2080GTX 1080GTX 1070 TiGTX 107060120180240300SE +/- 0.44, N = 3SE +/- 0.19, N = 3SE +/- 0.28, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3285210205143133125

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP32RTX 2080 TiGTX 1080 TiRTX 2080RTX 2070GTX 1080GTX 1070 TiGTX 10707001400210028003500SE +/- 6.99, N = 3SE +/- 1.83, N = 3SE +/- 1.84, N = 3SE +/- 1.62, N = 3SE +/- 0.32, N = 3SE +/- 0.44, N = 33344253924192174176415911516

SHOC Scalable HeterOgeneous Computing

OpenBenchmarking.orgGB/s Per Dollar, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Performance / Cost - Target: OpenCL - Benchmark: Texture Read BandwidthRTX 2070RTX 2080GTX 1070GTX 1080GTX 1070 TiRTX 2080 TiRX Vega 56RX Vega 64GTX 1080 Ti0.4140.8281.2421.6562.071.841.401.130.970.960.950.940.930.851. RTX 2070: $599 reported cost.2. RTX 2080: $798 reported cost.3. GTX 1070: $399 reported cost.4. GTX 1080: $549 reported cost.5. GTX 1070 Ti: $449 reported cost.6. RTX 2080 Ti: $1199 reported cost.7. RX Vega 56: $409 reported cost.8. RX Vega 64: $475 reported cost.9. GTX 1080 Ti: $699 reported cost.

OpenBenchmarking.orgGFLOPS Per Dollar, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Performance / Cost - Target: OpenCL - Benchmark: FFT SPRX Vega 56RX Vega 64RTX 2070GTX 1080 TiRTX 2080RTX 2080 TiGTX 1070GTX 1070 TiGTX 10800.50851.0171.52552.0342.54252.262.251.671.391.361.201.131.111.051. RX Vega 56: $409 reported cost.2. RX Vega 64: $475 reported cost.3. RTX 2070: $599 reported cost.4. GTX 1080 Ti: $699 reported cost.5. RTX 2080: $798 reported cost.6. RTX 2080 Ti: $1199 reported cost.7. GTX 1070: $399 reported cost.8. GTX 1070 Ti: $449 reported cost.9. GTX 1080: $549 reported cost.

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: VGG-16, FP32RTX 2080 TiGTX 1080 TiRTX 2080GTX 1080GTX 1070 TiGTX 1070306090120150SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.13, N = 3152.40119.50108.5782.9076.4071.57

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP16RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 1080GTX 10700.21150.4230.63450.8461.05750.940.690.540.530.480.46

clpeak

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

OpenBenchmarking.orgus, Fewer Is BetterclpeakOpenCL Test: Kernel LatencyRTX 2080RTX 2070RTX 2080 TiGTX 1070 TiGTX 1080GTX 1070GTX 1080 TiR9 FuryRX Vega 64RX Vega 56246810SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.483.523.573.663.723.743.805.686.946.98

NVIDIA GPU Cloud TensorFlow

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Googlenet, FP16RTX 2080 TiRTX 2080GTX 1070 TiGTX 1080 TiGTX 1080GTX 10700.91581.83162.74743.66324.5794.073.212.532.452.132.06

Chaos Group V-RAY

OpenBenchmarking.orgCelsius, Fewer Is BetterChaos Group V-RAY 1.1.0GPU Temperature MonitorGTX 1070 TiRTX 2080 TiRTX 2070GTX 1070GTX 1080GTX 1080 TiRTX 20801428425670Min: 38 / Avg: 47.77 / Max: 50Min: 46 / Avg: 60.03 / Max: 68Min: 53 / Avg: 60.72 / Max: 62Min: 46 / Avg: 62.55 / Max: 68Min: 48 / Avg: 62.93 / Max: 67Min: 54 / Avg: 68.11 / Max: 73Min: 50 / Avg: 68.2 / Max: 74

NVIDIA GPU Cloud TensorFlow

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorGTX 1070 TiRTX 2080 TiGTX 1070GTX 1080GTX 1080 TiRTX 20801530456075Min: 43 / Avg: 52.93 / Max: 56Min: 55 / Avg: 64.78 / Max: 71Min: 56 / Avg: 69 / Max: 74Min: 58 / Avg: 72.23 / Max: 79Min: 60 / Avg: 72.84 / Max: 80Min: 60 / Avg: 73.17 / Max: 80

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 GPURTX 2080 TiRTX 2070GTX 1080 TiRTX 2080GTX 1070 TiGTX 1070GTX 108020406080100SE +/- 3.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 3.08, N = 356.0966.0266.4172.0786.3090.43102.07

NVIDIA GPU Cloud TensorFlow

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorGTX 1070 TiRTX 2080 TiGTX 1070GTX 1080RTX 2080GTX 1080 Ti1530456075Min: 43 / Avg: 49.56 / Max: 55Min: 53 / Avg: 57.76 / Max: 65Min: 55 / Avg: 64.07 / Max: 72Min: 51 / Avg: 64.33 / Max: 76Min: 57 / Avg: 64.7 / Max: 74Min: 56 / Avg: 66.24 / Max: 77

CUDA Mini-Nbody

OpenBenchmarking.orgCelsius, Fewer Is BetterCUDA Mini-Nbody 2015-11-10GPU Temperature MonitorGTX 1070 TiRTX 2070RTX 2080 TiGTX 1070GTX 1080RTX 2080GTX 1080 Ti1530456075Min: 45 / Avg: 56.11 / Max: 60Min: 55 / Avg: 60.44 / Max: 64Min: 58 / Avg: 64 / Max: 67Min: 61 / Avg: 70.86 / Max: 75Min: 64 / Avg: 73.06 / Max: 79Min: 65 / Avg: 73.5 / Max: 78Min: 65 / Avg: 74.42 / Max: 80

NVIDIA GPU Cloud TensorFlow

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorGTX 1070 TiRTX 2080 TiGTX 1070GTX 1080GTX 1080 TiRTX 20801530456075Min: 44 / Avg: 50.85 / Max: 54Min: 54 / Avg: 61.16 / Max: 67Min: 57 / Avg: 65.61 / Max: 71Min: 60 / Avg: 68.77 / Max: 75Min: 62 / Avg: 70.04 / Max: 77Min: 59 / Avg: 70.41 / Max: 77

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorGTX 1070 TiRTX 2080 TiGTX 1070GTX 1080GTX 1080 TiRTX 20801530456075Min: 46 / Avg: 52.21 / Max: 55Min: 56 / Avg: 65.52 / Max: 71Min: 58 / Avg: 66.1 / Max: 70Min: 60 / Avg: 69.33 / Max: 74Min: 61 / Avg: 70.55 / Max: 77Min: 61 / Avg: 74.1 / Max: 80

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorGTX 1070 TiRTX 2070RTX 2080 TiGTX 1070GTX 1080GTX 1080 TiRTX 20801530456075Min: 44 / Avg: 49.07 / Max: 52Min: 46 / Avg: 55.88 / Max: 61Min: 53 / Avg: 61.36 / Max: 67Min: 61 / Avg: 64.2 / Max: 68Min: 63 / Avg: 66.8 / Max: 71Min: 64 / Avg: 67.58 / Max: 71Min: 59 / Avg: 69.81 / Max: 76

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorGTX 1070 TiRTX 2080 TiGTX 1080GTX 1070RTX 2080GTX 1080 Ti1530456075Min: 45 / Avg: 52.18 / Max: 55Min: 54 / Avg: 61.56 / Max: 68Min: 50 / Avg: 65.84 / Max: 74Min: 59 / Avg: 66.13 / Max: 70Min: 59 / Avg: 69.86 / Max: 77Min: 61 / Avg: 70.1 / Max: 76

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP32RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 1080GTX 10700.25880.51760.77641.03521.2941.150.990.890.840.730.73

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorGTX 1070 TiRTX 2080 TiGTX 1070GTX 1080GTX 1080 TiRTX 20801428425670Min: 46 / Avg: 49.93 / Max: 53Min: 57 / Avg: 60.36 / Max: 64Min: 59 / Avg: 64.06 / Max: 67Min: 62 / Avg: 66.46 / Max: 70Min: 63 / Avg: 67.2 / Max: 70Min: 63 / Avg: 67.57 / Max: 72

cl-mem

OpenBenchmarking.orgGB/s Per Dollar, More Is Bettercl-mem 2017-01-13Performance / Cost - Benchmark: CopyRTX 2070RX Vega 56RX Vega 64GTX 1070GTX 1080 TiGTX 1070 TiRTX 2080RTX 2080 TiGTX 10800.12380.24760.37140.49520.6190.550.500.470.470.450.420.410.380.381. RTX 2070: $599 reported cost.2. RX Vega 56: $409 reported cost.3. RX Vega 64: $475 reported cost.4. GTX 1070: $399 reported cost.5. GTX 1080 Ti: $699 reported cost.6. GTX 1070 Ti: $449 reported cost.7. RTX 2080: $798 reported cost.8. RTX 2080 Ti: $1199 reported cost.9. GTX 1080: $549 reported cost.

NVIDIA GPU Cloud TensorFlow

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP32RTX 2080 TiGTX 1080 TiRTX 2070RTX 2080GTX 1070 TiGTX 1080GTX 1070369121512.9912.1911.7211.4410.999.909.61

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP32RTX 2080 TiGTX 1080 TiGTX 1070 TiRTX 2080GTX 1080GTX 10700.1260.2520.3780.5040.630.560.490.470.450.420.42

SHOC Scalable HeterOgeneous Computing

OpenBenchmarking.orgGHash/s Per Dollar, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Performance / Cost - Target: OpenCL - Benchmark: MD5 HashRX Vega 64RX Vega 56RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1080GTX 1070 TiGTX 10700.00680.01360.02040.02720.0340.030.030.030.030.030.030.030.030.031. RX Vega 64: $475 reported cost.2. RX Vega 56: $409 reported cost.3. RTX 2080 Ti: $1199 reported cost.4. RTX 2080: $798 reported cost.5. RTX 2070: $599 reported cost.6. GTX 1080 Ti: $699 reported cost.7. GTX 1080: $549 reported cost.8. GTX 1070 Ti: $449 reported cost.9. GTX 1070: $399 reported cost.

System Power Consumption Monitor

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System MonitoringGTX 1070 TiRX Vega 56GTX 1070RTX 2070GTX 1080R9 FuryRX Vega 64RTX 2080GTX 1080 TiRTX 2080 Ti70140210280350Min: 45.9 / Avg: 127.84 / Max: 213.8Min: 48.8 / Avg: 143.52 / Max: 284.1Min: 41.9 / Avg: 143.92 / Max: 213.8Min: 42.1 / Avg: 146.13 / Max: 247.2Min: 42.2 / Avg: 154.56 / Max: 251.7Min: 79.9 / Avg: 160.12 / Max: 365.3Min: 48.4 / Avg: 169.45 / Max: 358.6Min: 43.9 / Avg: 175.16 / Max: 287.8Min: 43.4 / Avg: 200.91 / Max: 320.9Min: 45.5 / Avg: 208.03 / Max: 346.7

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringGTX 1070 TiRX Vega 56RX Vega 64RTX 2070RTX 2080 TiGTX 1070GTX 1080GTX 1080 TiRTX 2080R9 Fury1632486480Min: 36 / Avg: 46.92 / Max: 60Min: 31 / Avg: 51.02 / Max: 75Min: 28 / Avg: 52.98 / Max: 85Min: 33 / Avg: 54.57 / Max: 64Min: 34 / Avg: 60.3 / Max: 76Min: 31 / Avg: 61.13 / Max: 75Min: 45 / Avg: 63.06 / Max: 79Min: 33 / Avg: 66.46 / Max: 80Min: 35 / Avg: 66.5 / Max: 80Min: 33 / Avg: 66.96 / Max: 79

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 INTRTX 2080 TiRTX 2080RTX 2070GTX 1080 TiRX Vega 64GTX 1080GTX 1070 TiRX Vega 56GTX 1070R9 Fury3K6K9K12K15KSE +/- 946.18, N = 3SE +/- 601.95, N = 3SE +/- 552.67, N = 3SE +/- 12.10, N = 3SE +/- 1.38, N = 3SE +/- 8.46, N = 3SE +/- 0.67, N = 3SE +/- 1.96, N = 3SE +/- 9.42, N = 3SE +/- 0.00, N = 3143851005980073321249124372082199116921430

59 Results Shown

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