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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Result
Identifier
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Date
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  Test
  Duration
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 1080 TiRTX 2080 TiGTX 1080RTX 2080GTX 1070RTX 2070GTX 1070 Ti60120180240300Min: 54.6 / Avg: 222.3 / Max: 319.6Min: 56.1 / Avg: 213.62 / Max: 342.3Min: 44.7 / Avg: 189.85 / Max: 248.8Min: 47.3 / Avg: 179.59 / Max: 284.7Min: 42.7 / Avg: 174.04 / Max: 212.6Min: 71.1 / Avg: 162.36 / Max: 246.8Min: 47 / Avg: 153.76 / Max: 192.3

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

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

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

CUDA Mini-Nbody

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

NVIDIA GPU Cloud TensorFlow

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1080 TiRTX 2080RTX 2080 TiGTX 1080GTX 1070GTX 1070 Ti60120180240300Min: 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: 239.8Min: 43.7 / Avg: 168.53 / Max: 201.8Min: 46.8 / Avg: 160.44 / Max: 192

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1080 TiRTX 2080RTX 2080 TiGTX 1080GTX 1070GTX 1070 Ti60120180240300Min: 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: 234.8Min: 68.9 / Avg: 158.49 / Max: 192.3Min: 46.9 / Avg: 135.79 / Max: 175

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

cl-mem

OpenBenchmarking.orgWatts, Fewer Is Bettercl-mem 2017-01-13System Power Consumption MonitorRX Vega 64RX Vega 56RTX 2080 TiGTX 1080 TiR9 FuryGTX 1080GTX 1070GTX 1070 TiRTX 2080RTX 207060120180240300Min: 52.4 / Avg: 216.5 / Max: 318.8Min: 49.6 / Avg: 196.84 / Max: 261.2Min: 47.1 / Avg: 180.3 / Max: 248.8Min: 120.7 / Avg: 179.53 / Max: 209Min: 90.3 / Avg: 165.77 / Max: 211.3Min: 115.3 / Avg: 149.23 / Max: 161.8Min: 82.6 / Avg: 137.43 / Max: 149.2Min: 46.1 / Avg: 105.92 / Max: 138.1Min: 46.4 / Avg: 92.77 / Max: 122Min: 43.3 / Avg: 85.23 / Max: 108.2

NVIDIA GPU Cloud TensorFlow

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

LuxMark

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorRX Vega 64RTX 2080 TiRX Vega 56R9 FuryGTX 1080 TiRTX 2080RTX 2070GTX 1070GTX 1080GTX 1070 Ti60120180240300Min: 53 / Avg: 323.35 / Max: 337.9Min: 111.1 / Avg: 315.29 / Max: 328.4Min: 51.8 / Avg: 251.16 / Max: 263.3Min: 90.4 / Avg: 249.15 / Max: 256.6Min: 122.9 / Avg: 241.59 / Max: 247.8Min: 101.9 / Avg: 240.83 / Max: 247.3Min: 78 / Avg: 225.33 / Max: 232.6Min: 83.1 / Avg: 176.9 / Max: 181.3Min: 90.8 / Avg: 174.24 / Max: 176.2Min: 146.8 / Avg: 148.92 / Max: 149.4

Chaos Group V-RAY

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

SHOC Scalable HeterOgeneous Computing

OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10System Power Consumption MonitorRX Vega 64RTX 2080 TiRX Vega 56GTX 1080 TiR9 FuryRTX 2080RTX 2070GTX 1080GTX 1070GTX 1070 Ti50100150200250Min: 51.8 / Avg: 223.18 / Max: 249.9Min: 47.5 / Avg: 222.96 / Max: 282.7Min: 49.4 / Avg: 197.63 / Max: 234.4Min: 120.8 / Avg: 190.06 / Max: 216.8Min: 113.9 / Avg: 172.33 / Max: 220.8Min: 47.1 / Avg: 169.8 / Max: 202.9Min: 53.7 / Avg: 162.86 / Max: 198.7Min: 89.7 / Avg: 144.76 / Max: 164.6Min: 82.6 / Avg: 134.72 / Max: 155.3Min: 47 / Avg: 122.6 / Max: 141.5

OpenBenchmarking.orgGB/s Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Texture Read BandwidthR9 FuryRX Vega 56RX Vega 64GTX 1080 TiGTX 1070GTX 1070 TiGTX 1080RTX 2080 TiRTX 2080RTX 20702468101.451.941.983.133.353.533.665.086.596.76

CUDA Mini-Nbody

OpenBenchmarking.org(NBody^2)/s, More Is BetterCUDA Mini-Nbody 2015-11-10Test: OriginalGTX 1070GTX 1080GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 Ti90180270360450SE +/- 0.16, N = 3SE +/- 0.17, N = 3SE +/- 0.07, N = 3SE +/- 0.19, N = 3SE +/- 0.61, N = 3SE +/- 0.92, N = 3SE +/- 0.80, N = 391.99111.00112.00186.00244.00304.00426.00

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 BandwidthR9 FuryRX Vega 56GTX 1070 TiRX Vega 64GTX 1070GTX 1080GTX 1080 TiRTX 2070RTX 2080RTX 2080 Ti2004006008001000SE +/- 1.14, N = 3SE +/- 0.54, N = 3SE +/- 0.09, N = 3SE +/- 1.72, N = 3SE +/- 0.06, N = 3SE +/- 0.39, N = 3SE +/- 2.41, N = 3SE +/- 1.33, N = 3SE +/- 3.18, N = 3SE +/- 3.81, N = 3250384433442451530595110111191134-lSHOCCommonOpenCL -lOpenCL-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-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 -lcufft1. (CXX) g++ options: -O2 -lSHOCCommon -lrt

OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: MD5 HashR9 FuryGTX 1070GTX 1070 TiRX Vega 56GTX 1080RX Vega 64RTX 2070GTX 1080 TiRTX 2080RTX 2080 Ti816243240SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.34, N = 39.2010.7211.6314.0314.1716.5319.2919.9624.3735.86-lSHOCCommonOpenCL -lOpenCL-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-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft1. (CXX) g++ options: -O2 -lSHOCCommon -lrt

cl-mem

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: CopyRX Vega 64RX Vega 56R9 FuryGTX 1070GTX 1080GTX 1070 TiGTX 1080 TiRTX 2080 TiRTX 2080RTX 20700.8731.7462.6193.4924.3651.021.031.241.361.401.771.772.523.533.88

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 1080R9 FuryRX Vega 56GTX 1080 TiRTX 2070RX Vega 64RTX 2080RTX 2080 Ti30060090012001500SE +/- 0.94, N = 3SE +/- 0.73, N = 3SE +/- 2.68, N = 3SE +/- 0.09, N = 3SE +/- 1.57, N = 3SE +/- 1.23, N = 3SE +/- 40.79, N = 3SE +/- 0.64, N = 3SE +/- 5.95, N = 3SE +/- 14.24, N = 3452497575846926972998107010831443-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-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 -lcufft1. (CXX) g++ options: -O2 -lSHOCCommon -lrt

clpeak

OpenBenchmarking.orgGIOPS Per Dollar, More Is BetterclpeakPerformance / Cost - OpenCL Test: Integer Compute INTGTX 1070GTX 1080GTX 1070 TiGTX 1080 TiRX Vega 56RX Vega 64RTX 2080 TiRTX 2080RTX 207036912154.244.444.644.754.875.2412.0012.6113.371. GTX 1070: $399 reported cost.2. GTX 1080: $549 reported cost.3. GTX 1070 Ti: $449 reported cost.4. GTX 1080 Ti: $699 reported cost.5. RX Vega 56: $409 reported cost.6. RX Vega 64: $475 reported cost.7. RTX 2080 Ti: $1199 reported cost.8. RTX 2080: $798 reported cost.9. RTX 2070: $599 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 HDRGTX 1080GTX 1070 TiGTX 1070GTX 1080 TiR9 FuryRTX 2080RTX 2070RX Vega 56RX Vega 64RTX 2080 Ti9K18K27K36K45KSE +/- 29.04, N = 3SE +/- 0.67, N = 3SE +/- 0.58, N = 3SE +/- 119.86, N = 3SE +/- 36.02, N = 3SE +/- 2.73, N = 3SE +/- 20.53, N = 3SE +/- 570.76, N = 3SE +/- 66.64, N = 313823168861728821562234482964130091311793281542693

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 1080GTX 1080 TiRTX 2080RTX 2080 Ti306090120150SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 344.7749.2355.0374.63102.77135.90

LuxMark

OpenBenchmarking.orgScore Per Dollar, More Is BetterLuxMark 3.1Performance / Cost - OpenCL Device: GPU - Scene: Luxball HDRGTX 1080GTX 1080 TiRTX 2080 TiRTX 2080GTX 1070 TiGTX 1070RTX 2070RX Vega 64RX Vega 562040608010025.1830.8535.6137.1437.6143.3350.2469.0876.231. GTX 1080: $549 reported cost.2. GTX 1080 Ti: $699 reported cost.3. RTX 2080 Ti: $1199 reported cost.4. RTX 2080: $798 reported cost.5. GTX 1070 Ti: $449 reported cost.6. GTX 1070: $399 reported cost.7. RTX 2070: $599 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 LatencyRTX 2080 TiRX Vega 64RX Vega 56RTX 2080GTX 1080 TiRTX 2070GTX 1080GTX 1070 TiGTX 107090018002700360045004280.433296.502854.822777.042656.202108.482042.281643.341492.261. RTX 2080 Ti: $1199 reported cost.2. RX Vega 64: $475 reported cost.3. RX Vega 56: $409 reported cost.4. RTX 2080: $798 reported cost.5. GTX 1080 Ti: $699 reported cost.6. RTX 2070: $599 reported cost.7. GTX 1080: $549 reported cost.8. GTX 1070 Ti: $449 reported cost.9. GTX 1070: $399 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, FP16GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2080RTX 2080 Ti10002000300040005000SE +/- 2.26, N = 3SE +/- 0.50, N = 3SE +/- 2.60, N = 3SE +/- 1.32, N = 3SE +/- 3.35, N = 3SE +/- 2.27, N = 3156316831875267431534432

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP16GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2070RTX 2080RTX 2080 Ti100200300400500SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 3SE +/- 0.85, N = 3SE +/- 0.28, N = 3160175193271309335449

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Googlenet, FP16GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2080RTX 2080 Ti2004006008001000SE +/- 0.35, N = 3SE +/- 0.09, N = 3SE +/- 0.21, N = 3SE +/- 2.49, N = 3SE +/- 0.58, N = 3SE +/- 0.49, N = 33754134586297381015

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP16GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2080RTX 2080 Ti50100150200250SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.24, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 376.9384.4393.13131.37153.33206.97

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Inception v4, FP16GTX 1070GTX 1080GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 Ti0.16650.3330.49950.6660.83250.280.300.340.350.580.74

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP16GTX 1070GTX 1080GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 Ti6121824309.8611.1912.3912.5316.5324.95

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 TiRX Vega 56R9 FuryGTX 1080RX Vega 64GTX 1080 TiRTX 2080RTX 2070RTX 2080 Ti100200300400500SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.21, N = 3SE +/- 0.47, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.39, N = 31871882032052092213173283304541. (CC) gcc options: -O2 -flto -lOpenCL

NVIDIA GPU Cloud TensorFlow

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorGTX 1080GTX 1080 TiRTX 2080GTX 1070RTX 2080 TiGTX 1070 TiRTX 20701428425670Min: 61 / Avg: 68.3 / Max: 75Min: 61 / Avg: 68.17 / Max: 75Min: 60 / Avg: 67.05 / Max: 75Min: 58 / Avg: 65.55 / Max: 70Min: 55 / Avg: 59.52 / Max: 65Min: 46 / Avg: 50.94 / Max: 55Min: 32 / Avg: 45.47 / Max: 58

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP16GTX 1070GTX 1080GTX 1070 TiGTX 1080 TiRTX 2080RTX 2070RTX 2080 Ti0.47250.9451.41751.892.36250.921.021.141.221.861.902.10

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP32GTX 1070GTX 1070 TiGTX 1080RTX 2080GTX 1080 TiRTX 2080 Ti60120180240300SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.28, N = 3SE +/- 0.19, N = 3SE +/- 0.44, N = 3125133143205210285

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP32GTX 1070GTX 1070 TiGTX 1080RTX 2070RTX 2080GTX 1080 TiRTX 2080 Ti7001400210028003500SE +/- 0.44, N = 3SE +/- 0.32, N = 3SE +/- 1.62, N = 3SE +/- 1.84, N = 3SE +/- 1.83, N = 3SE +/- 6.99, N = 31516159117642174241925393344

SHOC Scalable HeterOgeneous Computing

OpenBenchmarking.orgGB/s Per Dollar, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Performance / Cost - Target: OpenCL - Benchmark: Texture Read BandwidthGTX 1080 TiRX Vega 64RX Vega 56RTX 2080 TiGTX 1070 TiGTX 1080GTX 1070RTX 2080RTX 20700.4140.8281.2421.6562.070.850.930.940.950.960.971.131.401.841. GTX 1080 Ti: $699 reported cost.2. RX Vega 64: $475 reported cost.3. RX Vega 56: $409 reported cost.4. RTX 2080 Ti: $1199 reported cost.5. GTX 1070 Ti: $449 reported cost.6. GTX 1080: $549 reported cost.7. GTX 1070: $399 reported cost.8. RTX 2080: $798 reported cost.9. RTX 2070: $599 reported cost.

OpenBenchmarking.orgGFLOPS Per Dollar, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Performance / Cost - Target: OpenCL - Benchmark: FFT SPGTX 1080GTX 1070 TiGTX 1070RTX 2080 TiRTX 2080GTX 1080 TiRTX 2070RX Vega 64RX Vega 560.50851.0171.52552.0342.54251.051.111.131.201.361.391.672.252.261. GTX 1080: $549 reported cost.2. GTX 1070 Ti: $449 reported cost.3. GTX 1070: $399 reported cost.4. RTX 2080 Ti: $1199 reported cost.5. RTX 2080: $798 reported cost.6. GTX 1080 Ti: $699 reported cost.7. RTX 2070: $599 reported cost.8. RX Vega 64: $475 reported cost.9. RX Vega 56: $409 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, FP32GTX 1070GTX 1070 TiGTX 1080RTX 2080GTX 1080 TiRTX 2080 Ti306090120150SE +/- 0.13, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 371.5776.4082.90108.57119.50152.40

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP16GTX 1070GTX 1080GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 Ti0.21150.4230.63450.8461.05750.460.480.530.540.690.94

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 LatencyRX Vega 56RX Vega 64R9 FuryGTX 1080 TiGTX 1070GTX 1080GTX 1070 TiRTX 2080 TiRTX 2070RTX 2080246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 36.986.945.683.803.743.723.663.573.523.48

NVIDIA GPU Cloud TensorFlow

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Googlenet, FP16GTX 1070GTX 1080GTX 1080 TiGTX 1070 TiRTX 2080RTX 2080 Ti0.91581.83162.74743.66324.5792.062.132.452.533.214.07

Chaos Group V-RAY

OpenBenchmarking.orgCelsius, Fewer Is BetterChaos Group V-RAY 1.1.0GPU Temperature MonitorRTX 2080GTX 1080 TiGTX 1080GTX 1070RTX 2070RTX 2080 TiGTX 1070 Ti1428425670Min: 50 / Avg: 68.2 / Max: 74Min: 54 / Avg: 68.11 / Max: 73Min: 48 / Avg: 62.93 / Max: 67Min: 46 / Avg: 62.55 / Max: 68Min: 53 / Avg: 60.72 / Max: 62Min: 46 / Avg: 60.03 / Max: 68Min: 38 / Avg: 47.77 / Max: 50

NVIDIA GPU Cloud TensorFlow

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorRTX 2080GTX 1080 TiGTX 1080GTX 1070RTX 2080 TiGTX 1070 Ti1530456075Min: 60 / Avg: 73.17 / Max: 80Min: 60 / Avg: 72.84 / Max: 80Min: 58 / Avg: 72.23 / Max: 79Min: 56 / Avg: 69 / Max: 74Min: 55 / Avg: 64.78 / Max: 71Min: 43 / Avg: 52.93 / Max: 56

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 1080GTX 1070GTX 1070 TiRTX 2080GTX 1080 TiRTX 2070RTX 2080 Ti20406080100SE +/- 3.08, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 3.00, N = 3102.0790.4386.3072.0766.4166.0256.09

NVIDIA GPU Cloud TensorFlow

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

CUDA Mini-Nbody

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

NVIDIA GPU Cloud TensorFlow

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorRTX 2080GTX 1080 TiGTX 1080GTX 1070RTX 2080 TiGTX 1070 Ti1530456075Min: 59 / Avg: 70.41 / Max: 77Min: 62 / Avg: 70.04 / Max: 77Min: 60 / Avg: 68.77 / Max: 75Min: 57 / Avg: 65.61 / Max: 71Min: 54 / Avg: 61.16 / Max: 67Min: 44 / Avg: 50.85 / Max: 54

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorRTX 2080GTX 1080 TiGTX 1080GTX 1070RTX 2080 TiGTX 1070 Ti1530456075Min: 61 / Avg: 74.1 / Max: 80Min: 61 / Avg: 70.55 / Max: 77Min: 60 / Avg: 69.33 / Max: 74Min: 58 / Avg: 66.1 / Max: 70Min: 56 / Avg: 65.52 / Max: 71Min: 46 / Avg: 52.21 / Max: 55

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorRTX 2080GTX 1080 TiGTX 1080GTX 1070RTX 2080 TiRTX 2070GTX 1070 Ti1530456075Min: 59 / Avg: 69.81 / Max: 76Min: 64 / Avg: 67.58 / Max: 71Min: 63 / Avg: 66.8 / Max: 71Min: 61 / Avg: 64.2 / Max: 68Min: 53 / Avg: 61.36 / Max: 67Min: 46 / Avg: 55.88 / Max: 61Min: 44 / Avg: 49.07 / Max: 52

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

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP32GTX 1070GTX 1080GTX 1070 TiGTX 1080 TiRTX 2080RTX 2080 Ti0.25880.51760.77641.03521.2940.730.730.840.890.991.15

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorRTX 2080GTX 1080 TiGTX 1080GTX 1070RTX 2080 TiGTX 1070 Ti1428425670Min: 63 / Avg: 67.57 / Max: 72Min: 63 / Avg: 67.2 / Max: 70Min: 62 / Avg: 66.46 / Max: 70Min: 59 / Avg: 64.06 / Max: 67Min: 57 / Avg: 60.36 / Max: 64Min: 46 / Avg: 49.93 / Max: 53

cl-mem

OpenBenchmarking.orgGB/s Per Dollar, More Is Bettercl-mem 2017-01-13Performance / Cost - Benchmark: CopyGTX 1080RTX 2080 TiRTX 2080GTX 1070 TiGTX 1080 TiGTX 1070RX Vega 64RX Vega 56RTX 20700.12380.24760.37140.49520.6190.380.380.410.420.450.470.470.500.551. GTX 1080: $549 reported cost.2. RTX 2080 Ti: $1199 reported cost.3. RTX 2080: $798 reported cost.4. GTX 1070 Ti: $449 reported cost.5. GTX 1080 Ti: $699 reported cost.6. GTX 1070: $399 reported cost.7. RX Vega 64: $475 reported cost.8. RX Vega 56: $409 reported cost.9. RTX 2070: $599 reported cost.

NVIDIA GPU Cloud TensorFlow

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP32GTX 1070GTX 1080GTX 1070 TiRTX 2080RTX 2070GTX 1080 TiRTX 2080 Ti36912159.619.9010.9911.4411.7212.1912.99

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP32GTX 1070GTX 1080RTX 2080GTX 1070 TiGTX 1080 TiRTX 2080 Ti0.1260.2520.3780.5040.630.420.420.450.470.490.56

SHOC Scalable HeterOgeneous Computing

OpenBenchmarking.orgGHash/s Per Dollar, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Performance / Cost - Target: OpenCL - Benchmark: MD5 HashGTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2070RTX 2080RTX 2080 TiRX Vega 56RX Vega 640.00680.01360.02040.02720.0340.030.030.030.030.030.030.030.030.031. GTX 1070: $399 reported cost.2. GTX 1070 Ti: $449 reported cost.3. GTX 1080: $549 reported cost.4. GTX 1080 Ti: $699 reported cost.5. RTX 2070: $599 reported cost.6. RTX 2080: $798 reported cost.7. RTX 2080 Ti: $1199 reported cost.8. RX Vega 56: $409 reported cost.9. RX Vega 64: $475 reported cost.

System Power Consumption Monitor

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

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringR9 FuryRTX 2080GTX 1080 TiGTX 1080GTX 1070RTX 2080 TiRTX 2070RX Vega 64RX Vega 56GTX 1070 Ti1632486480Min: 33 / Avg: 66.96 / Max: 79Min: 35 / Avg: 66.5 / Max: 80Min: 33 / Avg: 66.46 / Max: 80Min: 45 / Avg: 63.06 / Max: 79Min: 31 / Avg: 61.13 / Max: 75Min: 34 / Avg: 60.3 / Max: 76Min: 33 / Avg: 54.57 / Max: 64Min: 28 / Avg: 52.98 / Max: 85Min: 31 / Avg: 51.02 / Max: 75Min: 36 / Avg: 46.92 / Max: 60

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 INTR9 FuryGTX 1070RX Vega 56GTX 1070 TiGTX 1080RX Vega 64GTX 1080 TiRTX 2070RTX 2080RTX 2080 Ti3K6K9K12K15KSE +/- 0.00, N = 3SE +/- 9.42, N = 3SE +/- 1.96, N = 3SE +/- 0.67, N = 3SE +/- 8.46, N = 3SE +/- 1.38, N = 3SE +/- 12.10, N = 3SE +/- 552.67, N = 3SE +/- 601.95, N = 3SE +/- 946.18, N = 3143016921991208224372491332180071005914385

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