NVIDIA AMD Linux GPU Compute December 2018

TU104BM benchmarks on the Clevo P775TM1-R

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Identifier
Performance Per
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Date
Run
  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
TU104BM
August 27 2019
 
P775TM1-R
August 28 2019
  3 Minutes
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  23 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 1070TU104BMP775TM1-RIntel 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)Intel Core i9-9900K @ 5.00GHz (16 Cores)EVOC P7xxTM1 powered by premamodIntel 8th Gen Core 8-core Desktop /DRAM64512MB2 x 4001GB Samsung SSD 860NVIDIA GeForce RTX 2080 8192MB (300/405MHz)Realtek ALC898Qualcomm Atheros Killer E2500 Gigabit + Intel Wi-Fi 6 AX2005.2.9 (x86_64)GNOME Shell 3.28.4NVIDIA 435.17CUDA 10.11920x1080Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads)EVOC P7xxTM1 powered by premamod (1.07.EVOC2 BIOS)Intel 8th Gen Core 8-core Desktop2 x 1000GB Samsung SSD 960 EVO 1TB + 2 x 4001GB Samsung SSD 860NVIDIA GeForce RTX 2080 8GB (1380/7000MHz)Qualcomm Atheros Killer E2500 + Intel Wi-Fi 6 AX2005.2.10 (x86_64)X Server 1.19.6OpenCL 1.2 CUDA 10.1.0GCC 7.4.0 + CUDA 10.1OpenBenchmarking.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 -vProcessor Details- RX Vega 56: Scaling Governor: intel_pstate performance- RX Vega 64: Scaling Governor: intel_pstate performance- R9 Fury: Scaling Governor: intel_pstate performance- GTX 1080: Scaling Governor: intel_pstate performance- RTX 2080 Ti: Scaling Governor: intel_pstate performance- RTX 2080: Scaling Governor: intel_pstate performance- RTX 2070: Scaling Governor: intel_pstate performance- GTX 1080 Ti: Scaling Governor: intel_pstate performance- GTX 1070 Ti: Scaling Governor: intel_pstate performance- GTX 1070: Scaling Governor: intel_pstate performance- TU104BM: Scaling Governor: intel_pstate powersave- P775TM1-R: Scaling Governor: intel_pstate powersaveSecurity Details- RX Vega 56: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp- RX Vega 64: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp- R9 Fury: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp- GTX 1080: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp- RTX 2080 Ti: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp- RTX 2080: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp- RTX 2070: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp- GTX 1080 Ti: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp- GTX 1070 Ti: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp- GTX 1070: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW + SSB disabled via prctl and seccomp- P775TM1-R: l1tf: Not affected + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB fillingOpenCL 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- TU104BM: GPU Compute Cores: 2944- P775TM1-R: GPU Compute Cores: 2944Kernel Details- TU104BM, P775TM1-R: psmouse.synaptics_intertouch=1System Details- TU104BM: GPU Compute Cores: 2944.

NVIDIA AMD Linux GPU Compute December 2018luxmark: GPU - Luxball HDRngc-tensorflow: Inception v4, FP16v-ray: CUDA GPUngc-tensorflow: Googlenet, FP16ngc-tensorflow: ResNet-50, FP32ngc-tensorflow: VGG-16, FP32ngc-tensorflow: ResNet-50, FP16ngc-tensorflow: VGG-16, FP16ngc-tensorflow: AlexNet, FP32cuda-mini-nbody: Originalngc-tensorflow: AlexNet, FP16shoc: OpenCL - Texture Read Bandwidthcl-mem: Copyshoc: OpenCL - FFT SPshoc: OpenCL - MD5 HashRX Vega 56RX Vega 64R9 FuryGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 1070TU104BMP775TM1-R3117938420392614.0332815442221107016.53234482502058469.201382355.03102.0745814382.9019393.131764111187553020957514.1742693135.9056.091015285152.40449206.97334442644321134454144335.8629641102.7772.07738205108.57335153.33241930431531119328108324.373009166.023092174244110133099819.292156274.6366.41629210119.50271131.372539186267459531797219.961688649.2386.3041313376.4017584.431591112168343318849711.631728844.7790.4337512571.5716076.93151691.99156345118745210.72255.50252.621118276110621.06OpenBenchmarking.org

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

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

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

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: 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

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

clpeak

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

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

CUDA Mini-Nbody

OpenBenchmarking.org(NBody^2)/s, More Is BetterCUDA Mini-Nbody 2015-11-10Test: OriginalP775TM1-RTU104BMGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 108090180270360450SE +/- 1.17, N = 3SE +/- 2.31, N = 3SE +/- 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 = 3252.62255.5091.99112.00186.00244.00304.00426.00111.00

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: 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.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Texture Read BandwidthP775TM1-RGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080R9 FuryRX Vega 64RX Vega 562004006008001000SE +/- 4.14, N = 3SE +/- 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 = 31118451433595110111191134530250442384-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-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-lSHOCCommonOpenCL -lOpenCL-lSHOCCommonOpenCL -lOpenCL-lSHOCCommonOpenCL -lOpenCL1. (CXX) g++ options: -O2 -lSHOCCommon -lrt

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: CopyP775TM1-RGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080R9 FuryRX Vega 64RX Vega 56100200300400500SE +/- 0.75, N = 3SE +/- 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 = 32761871883173303284542092052212031. (CC) gcc options: -O2 -flto -lOpenCL

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 SPP775TM1-RGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080R9 FuryRX Vega 64RX Vega 5630060090012001500SE +/- 0.40, N = 3SE +/- 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 = 31106452497972998108314435758461070926-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-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-lSHOCCommonOpenCL -lOpenCL-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 HashP775TM1-RGTX 1070GTX 1070 TiGTX 1080 TiRTX 2070RTX 2080RTX 2080 TiGTX 1080R9 FuryRX Vega 64RX Vega 56816243240SE +/- 0.08, N = 3SE +/- 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 = 321.0610.7211.6319.9619.2924.3735.8614.179.2016.5314.03-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-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-lSHOCCommonOpenCL -lOpenCL-lSHOCCommonOpenCL -lOpenCL-lSHOCCommonOpenCL -lOpenCL1. (CXX) g++ options: -O2 -lSHOCCommon -lrt

clpeak

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.

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.

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.

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.

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 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.

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.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.

NVIDIA GPU Cloud TensorFlow

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

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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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

CUDA Mini-Nbody

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

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

Chaos Group V-RAY

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

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

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

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

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

cl-mem

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

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

SHOC Scalable HeterOgeneous Computing

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

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

59 Results Shown

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