NVIDIA AMD Linux GPU Compute December 2018

TU104BM benchmarks on the Clevo P775TM1-R

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 1908289-HV-1908277KH01
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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 ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionGTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2070RTX 2080RTX 2080 TiR9 FuryRX Vega 56RX Vega 64TU104BMP775TM1-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 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)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 435.174.6.0CUDA 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- GTX 1070: Scaling Governor: intel_pstate performance- GTX 1070 Ti: Scaling Governor: intel_pstate performance- GTX 1080: Scaling Governor: intel_pstate performance- GTX 1080 Ti: Scaling Governor: intel_pstate performance- RTX 2070: Scaling Governor: intel_pstate performance- RTX 2080: Scaling Governor: intel_pstate performance- RTX 2080 Ti: Scaling Governor: intel_pstate performance- R9 Fury: Scaling Governor: intel_pstate performance- RX Vega 56: Scaling Governor: intel_pstate performance- RX Vega 64: Scaling Governor: intel_pstate performance- TU104BM: Scaling Governor: intel_pstate powersave- P775TM1-R: Scaling Governor: intel_pstate powersaveOpenCL 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: 4352- TU104BM: GPU Compute Cores: 2944- P775TM1-R: GPU Compute Cores: 2944Security Details- GTX 1070: __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 1080: __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- RTX 2070: __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 2080 Ti: __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- 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- 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 fillingKernel Details- TU104BM, P775TM1-R: psmouse.synaptics_intertouch=1System Details- TU104BM: GPU Compute Cores: 2944.

NVIDIA AMD Linux GPU Compute December 2018shoc: OpenCL - FFT SPshoc: OpenCL - Texture Read Bandwidthcuda-mini-nbody: Originalngc-tensorflow: ResNet-50, FP32ngc-tensorflow: ResNet-50, FP16shoc: OpenCL - MD5 Hashv-ray: CUDA GPUcl-mem: Copyluxmark: GPU - Luxball HDRngc-tensorflow: AlexNet, FP16ngc-tensorflow: VGG-16, FP32ngc-tensorflow: AlexNet, FP32ngc-tensorflow: Googlenet, FP16ngc-tensorflow: Inception v4, FP16ngc-tensorflow: VGG-16, FP16GTX 1070GTX 1070 TiGTX 1080GTX 1080 TiRTX 2070RTX 2080RTX 2080 TiR9 FuryRX Vega 56RX Vega 64TU104BMP775TM1-R45245191.9912516010.7290.4318717288156371.57151637544.7776.9349743311213317511.6386.3018816886168376.40159141349.2384.4357553011114319314.17102.0720913823187582.90176445855.0393.1397259518621027119.9666.41317215622674119.50253962974.63131.37998110124430919.2966.023303009121741083111930420533524.3772.07328296413153108.572419738102.77153.331443113442628544935.8656.09454426934432152.4033441015135.90206.978462509.202052344892638414.0320331179107044216.5322132815255.5011061118252.6221.06276OpenBenchmarking.org

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 TiP775TM1-RRTX 2080RX Vega 64RTX 2070GTX 1080 TiRX Vega 56R9 FuryGTX 1080GTX 1070 TiGTX 107030060090012001500SE +/- 14.24, N = 3SE +/- 0.40, 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 = 31443110610831070998972926846575497452-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-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

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Texture Read BandwidthRTX 2080 TiRTX 2080P775TM1-RRTX 2070GTX 1080 TiGTX 1080GTX 1070RX Vega 64GTX 1070 TiRX Vega 56R9 Fury2004006008001000SE +/- 3.81, N = 3SE +/- 3.18, N = 3SE +/- 4.14, 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 = 31134111911181101595530451442433384250-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-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

CUDA Mini-Nbody

OpenBenchmarking.org(NBody^2)/s, More Is BetterCUDA Mini-Nbody 2015-11-10Test: OriginalRTX 2080 TiRTX 2080TU104BMP775TM1-RRTX 2070GTX 1080 TiGTX 1070 TiGTX 1080GTX 107090180270360450SE +/- 0.80, N = 3SE +/- 0.92, N = 3SE +/- 2.31, N = 3SE +/- 1.17, N = 3SE +/- 0.61, N = 3SE +/- 0.19, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3SE +/- 0.16, N = 3426.00304.00255.50252.62244.00186.00112.00111.0091.99

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: 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: 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

SHOC Scalable HeterOgeneous Computing

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

OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: MD5 HashRTX 2080 TiRTX 2080P775TM1-RGTX 1080 TiRTX 2070RX Vega 64GTX 1080RX Vega 56GTX 1070 TiGTX 1070R9 Fury816243240SE +/- 0.34, N = 3SE +/- 0.02, N = 3SE +/- 0.08, 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 = 335.8624.3721.0619.9619.2916.5314.1714.0311.6310.729.20-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-std=c++14 -lcudadevrt -lcudart_static -lpthread -ldl -lcufft-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

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

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 TiP775TM1-RRX 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 +/- 0.75, 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 = 34543303283172762212092052031881871. (CC) gcc options: -O2 -flto -lOpenCL

LuxMark

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

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: Luxball 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: 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: 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, 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

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: 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

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

clpeak

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

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

SHOC Scalable HeterOgeneous Computing

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

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

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

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

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

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

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

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

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

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

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.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.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.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.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 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.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.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

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

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.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.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.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

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

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

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.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.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

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

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

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.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.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

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.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

SHOC Scalable HeterOgeneous Computing

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.

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.

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.

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.

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.

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.

59 Results Shown

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