NVIDIA AMD Linux GPU Compute December 2018

TU104BM benchmarks on the Clevo P775TM1-R

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Result
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 2018cuda-mini-nbody: Originalshoc: OpenCL - Texture Read Bandwidthcl-mem: Copyshoc: OpenCL - FFT SPshoc: OpenCL - MD5 Hashngc-tensorflow: ResNet-50, FP16ngc-tensorflow: AlexNet, FP16ngc-tensorflow: ResNet-50, FP32ngc-tensorflow: AlexNet, FP32ngc-tensorflow: Googlenet, FP16ngc-tensorflow: Inception v4, FP16ngc-tensorflow: VGG-16, FP16ngc-tensorflow: VGG-16, FP32luxmark: GPU - Luxball HDRv-ray: CUDA GPURX Vega 56RX Vega 64R9 FuryGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 1070TU104BMP775TM1-R38420392614.0331179442221107016.53328152502058469.202344811153020957514.171931875143176445855.0393.1382.9013823102.074261134454144335.86449443228533441015135.90206.97152.404269356.093041119328108324.3733531532052419738102.77153.33108.572964172.07244110133099819.2930921743009166.0218659531797219.962712674210253962974.63131.37119.502156266.4111243318849711.631751683133159141349.2384.4376.401688686.3091.9945118745210.721601563125151637544.7776.9371.571728890.43255.50252.621118276110621.06OpenBenchmarking.org

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringRX Vega 56RX Vega 64R9 FuryGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 10701632486480Min: 31 / Avg: 51.02 / Max: 75Min: 28 / Avg: 52.98 / Max: 85Min: 33 / Avg: 66.96 / Max: 79Min: 45 / Avg: 63.06 / Max: 79Min: 34 / Avg: 60.3 / Max: 76Min: 35 / Avg: 66.5 / Max: 80Min: 33 / Avg: 54.57 / Max: 64Min: 33 / Avg: 66.46 / Max: 80Min: 36 / Avg: 46.92 / Max: 60Min: 31 / Avg: 61.13 / Max: 75

System Power Consumption Monitor

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System MonitoringRX Vega 56RX Vega 64R9 FuryGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 107070140210280350Min: 48.8 / Avg: 143.52 / Max: 284.1Min: 48.4 / Avg: 169.45 / Max: 358.6Min: 79.9 / Avg: 160.12 / Max: 365.3Min: 42.2 / Avg: 154.56 / Max: 251.7Min: 45.5 / Avg: 208.03 / Max: 346.7Min: 43.9 / Avg: 175.16 / Max: 287.8Min: 42.1 / Avg: 146.13 / Max: 247.2Min: 43.4 / Avg: 200.91 / Max: 320.9Min: 45.9 / Avg: 127.84 / Max: 213.8Min: 41.9 / Avg: 143.92 / Max: 213.8

CUDA Mini-Nbody

OpenBenchmarking.org(NBody^2)/s, More Is BetterCUDA Mini-Nbody 2015-11-10Test: OriginalGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 1070TU104BMP775TM1-R90180270360450SE +/- 0.17, N = 3SE +/- 0.80, N = 3SE +/- 0.92, N = 3SE +/- 0.61, N = 3SE +/- 0.19, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 2.31, N = 3SE +/- 1.17, N = 3111.00426.00304.00244.00186.00112.0091.99255.50252.62

SHOC Scalable HeterOgeneous Computing

OpenBenchmarking.orgGB/s Per Dollar, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Performance / Cost - Target: OpenCL - Benchmark: Texture Read BandwidthRX Vega 56RX Vega 64GTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 10700.4140.8281.2421.6562.070.940.930.970.951.401.840.850.961.131. RX Vega 56: $409 reported cost.2. RX Vega 64: $475 reported cost.3. GTX 1080: $549 reported cost.4. RTX 2080 Ti: $1199 reported cost.5. RTX 2080: $798 reported cost.6. RTX 2070: $599 reported cost.7. GTX 1080 Ti: $699 reported cost.8. GTX 1070 Ti: $449 reported cost.9. GTX 1070: $399 reported cost.

cl-mem

OpenBenchmarking.orgGB/s Per Dollar, More Is Bettercl-mem 2017-01-13Performance / Cost - Benchmark: CopyRX Vega 56RX Vega 64GTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 10700.12380.24760.37140.49520.6190.500.470.380.380.410.550.450.420.471. RX Vega 56: $409 reported cost.2. RX Vega 64: $475 reported cost.3. GTX 1080: $549 reported cost.4. RTX 2080 Ti: $1199 reported cost.5. RTX 2080: $798 reported cost.6. RTX 2070: $599 reported cost.7. GTX 1080 Ti: $699 reported cost.8. GTX 1070 Ti: $449 reported cost.9. GTX 1070: $399 reported cost.

SHOC Scalable HeterOgeneous Computing

OpenBenchmarking.orgGB/s Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Texture Read BandwidthRX Vega 56RX Vega 64R9 FuryGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 10702468101.941.981.453.665.086.596.763.133.533.35

cl-mem

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: CopyRX Vega 56RX Vega 64R9 FuryGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 10700.8731.7462.6193.4924.3651.031.021.241.402.523.533.881.771.771.36

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 BandwidthRX Vega 56RX Vega 64R9 FuryGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 1070P775TM1-R2004006008001000SE +/- 0.54, N = 3SE +/- 1.72, N = 3SE +/- 1.14, N = 3SE +/- 0.39, N = 3SE +/- 3.81, N = 3SE +/- 3.18, N = 3SE +/- 1.33, N = 3SE +/- 2.41, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 4.14, N = 33844422505301134111911015954334511118-lSHOCCommonOpenCL -lOpenCL-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 -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-lcudadevrt -lcudart_static -lpthread -ldl -lcufft1. (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: CopyRX Vega 56RX Vega 64R9 FuryGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 1070P775TM1-R100200300400500SE +/- 0.21, N = 3SE +/- 0.07, N = 3SE +/- 0.47, N = 3SE +/- 0.07, N = 3SE +/- 0.39, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.75, N = 32032212052094543283303171881872761. (CC) gcc options: -O2 -flto -lOpenCL

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 64GTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 10700.50851.0171.52552.0342.54252.262.251.051.201.361.671.391.111.131. RX Vega 56: $409 reported cost.2. RX Vega 64: $475 reported cost.3. GTX 1080: $549 reported cost.4. RTX 2080 Ti: $1199 reported cost.5. RTX 2080: $798 reported cost.6. RTX 2070: $599 reported cost.7. GTX 1080 Ti: $699 reported cost.8. GTX 1070 Ti: $449 reported cost.9. GTX 1070: $399 reported cost.

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: FFT SPRX Vega 56RX Vega 64R9 FuryGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 1070P775TM1-R30060090012001500SE +/- 1.57, N = 3SE +/- 0.64, N = 3SE +/- 0.09, N = 3SE +/- 2.68, N = 3SE +/- 14.24, N = 3SE +/- 5.95, N = 3SE +/- 40.79, N = 3SE +/- 1.23, N = 3SE +/- 0.73, N = 3SE +/- 0.94, N = 3SE +/- 0.40, N = 39261070846575144310839989724974521106-lSHOCCommonOpenCL -lOpenCL-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 -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-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 HashRX Vega 56RX Vega 64R9 FuryGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 1070P775TM1-R816243240SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.34, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 314.0316.539.2014.1735.8624.3719.2919.9611.6310.7221.06-lSHOCCommonOpenCL -lOpenCL-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 -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-lcudadevrt -lcudart_static -lpthread -ldl -lcufft1. (CXX) g++ options: -O2 -lSHOCCommon -lrt

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

clpeak

OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTRX Vega 56RX Vega 64R9 FuryGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 10703K6K9K12K15KSE +/- 1.96, N = 3SE +/- 1.38, N = 3SE +/- 0.00, N = 3SE +/- 8.46, N = 3SE +/- 946.18, N = 3SE +/- 601.95, N = 3SE +/- 552.67, N = 3SE +/- 12.10, N = 3SE +/- 0.67, N = 3SE +/- 9.42, N = 3199124911430243714385100598007332120821692

OpenBenchmarking.orgGIOPS Per Dollar, More Is BetterclpeakPerformance / Cost - OpenCL Test: Integer Compute INTRX Vega 56RX Vega 64GTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 107036912154.875.244.4412.0012.6113.374.754.644.241. RX Vega 56: $409 reported cost.2. RX Vega 64: $475 reported cost.3. GTX 1080: $549 reported cost.4. RTX 2080 Ti: $1199 reported cost.5. RTX 2080: $798 reported cost.6. RTX 2070: $599 reported cost.7. GTX 1080 Ti: $699 reported cost.8. GTX 1070 Ti: $449 reported cost.9. GTX 1070: $399 reported cost.

NVIDIA GPU Cloud TensorFlow

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP16GTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 10700.47250.9451.41751.892.36251.022.101.861.901.221.140.92

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP32GTX 1080RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 10700.25880.51760.77641.03521.2940.731.150.990.890.840.73

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP16GTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 1070100200300400500SE +/- 0.10, N = 3SE +/- 0.28, N = 3SE +/- 0.85, N = 3SE +/- 0.15, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3193449335309271175160

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP16GTX 1080RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 107061218243011.1924.9516.5312.5312.399.86

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP32GTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 107036912159.9012.9911.4411.7212.1910.999.61

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Googlenet, FP16GTX 1080RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 10700.91581.83162.74743.66324.5792.134.073.212.452.532.06

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP16GTX 1080RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 107010002000300040005000SE +/- 2.60, N = 3SE +/- 2.27, N = 3SE +/- 3.35, N = 3SE +/- 1.32, N = 3SE +/- 0.50, N = 3SE +/- 2.26, N = 3187544323153267416831563

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Inception v4, FP16GTX 1080RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 10700.16650.3330.49950.6660.83250.300.740.580.350.340.28

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP16GTX 1080RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 10700.21150.4230.63450.8461.05750.480.940.690.540.530.46

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP32GTX 1080RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 10700.1260.2520.3780.5040.630.420.560.450.490.470.42

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP32GTX 1080RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 107060120180240300SE +/- 0.07, N = 3SE +/- 0.44, N = 3SE +/- 0.28, N = 3SE +/- 0.19, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3143285205210133125

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP32GTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 10707001400210028003500SE +/- 1.62, N = 3SE +/- 6.99, N = 3SE +/- 1.84, N = 3SE +/- 1.83, N = 3SE +/- 0.32, N = 3SE +/- 0.44, N = 31764334424192174253915911516

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Googlenet, FP16GTX 1080RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 10702004006008001000SE +/- 0.21, N = 3SE +/- 0.49, N = 3SE +/- 0.58, N = 3SE +/- 2.49, N = 3SE +/- 0.09, N = 3SE +/- 0.35, N = 34581015738629413375

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Inception v4, FP16GTX 1080RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 1070306090120150SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 355.03135.90102.7774.6349.2344.77

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP16GTX 1080RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 107050100150200250SE +/- 0.24, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 393.13206.97153.33131.3784.4376.93

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP32GTX 1080RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 1070306090120150SE +/- 0.00, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.00, N = 3SE +/- 0.13, N = 382.90152.40108.57119.5076.4071.57

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 HDRRX Vega 56RX Vega 64R9 FuryGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 10709K18K27K36K45KSE +/- 20.53, N = 3SE +/- 570.76, N = 3SE +/- 36.02, N = 3SE +/- 29.04, N = 3SE +/- 66.64, N = 3SE +/- 2.73, N = 3SE +/- 119.86, N = 3SE +/- 0.67, N = 3SE +/- 0.58, N = 331179328152344813823426932964130091215621688617288

OpenBenchmarking.orgScore Per Dollar, More Is BetterLuxMark 3.1Performance / Cost - OpenCL Device: GPU - Scene: Luxball HDRRX Vega 56RX Vega 64GTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 10702040608010076.2369.0825.1835.6137.1450.2430.8537.6143.331. RX Vega 56: $409 reported cost.2. RX Vega 64: $475 reported cost.3. GTX 1080: $549 reported cost.4. RTX 2080 Ti: $1199 reported cost.5. RTX 2080: $798 reported cost.6. RTX 2070: $599 reported cost.7. GTX 1080 Ti: $699 reported cost.8. GTX 1070 Ti: $449 reported cost.9. GTX 1070: $399 reported cost.

Chaos Group V-RAY

OpenBenchmarking.orgCelsius, Fewer Is BetterChaos Group V-RAY 1.1.0GPU Temperature MonitorGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 10701428425670Min: 48 / Avg: 62.93 / Max: 67Min: 46 / Avg: 60.03 / Max: 68Min: 50 / Avg: 68.2 / Max: 74Min: 53 / Avg: 60.72 / Max: 62Min: 54 / Avg: 68.11 / Max: 73Min: 38 / Avg: 47.77 / Max: 50Min: 46 / Avg: 62.55 / Max: 68

CUDA Mini-Nbody

OpenBenchmarking.orgCelsius, Fewer Is BetterCUDA Mini-Nbody 2015-11-10GPU Temperature MonitorGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 10701530456075Min: 64 / Avg: 73.06 / Max: 79Min: 58 / Avg: 64 / Max: 67Min: 65 / Avg: 73.5 / Max: 78Min: 55 / Avg: 60.44 / Max: 64Min: 65 / Avg: 74.42 / Max: 80Min: 45 / Avg: 56.11 / Max: 60Min: 61 / Avg: 70.86 / Max: 75

NVIDIA GPU Cloud TensorFlow

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 10701428425670Min: 61 / Avg: 68.3 / Max: 75Min: 55 / Avg: 59.52 / Max: 65Min: 60 / Avg: 67.05 / Max: 75Min: 32 / Avg: 45.47 / Max: 58Min: 61 / Avg: 68.17 / Max: 75Min: 46 / Avg: 50.94 / Max: 55Min: 58 / Avg: 65.55 / Max: 70

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorGTX 1080RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 10701530456075Min: 60 / Avg: 68.77 / Max: 75Min: 54 / Avg: 61.16 / Max: 67Min: 59 / Avg: 70.41 / Max: 77Min: 62 / Avg: 70.04 / Max: 77Min: 44 / Avg: 50.85 / Max: 54Min: 57 / Avg: 65.61 / Max: 71

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorGTX 1080RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 10701428425670Min: 62 / Avg: 66.46 / Max: 70Min: 57 / Avg: 60.36 / Max: 64Min: 63 / Avg: 67.57 / Max: 72Min: 63 / Avg: 67.2 / Max: 70Min: 46 / Avg: 49.93 / Max: 53Min: 59 / Avg: 64.06 / Max: 67

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 10701530456075Min: 63 / Avg: 66.8 / Max: 71Min: 53 / Avg: 61.36 / Max: 67Min: 59 / Avg: 69.81 / Max: 76Min: 46 / Avg: 55.88 / Max: 61Min: 64 / Avg: 67.58 / Max: 71Min: 44 / Avg: 49.07 / Max: 52Min: 61 / Avg: 64.2 / Max: 68

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorGTX 1080RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 10701530456075Min: 58 / Avg: 72.23 / Max: 79Min: 55 / Avg: 64.78 / Max: 71Min: 60 / Avg: 73.17 / Max: 80Min: 60 / Avg: 72.84 / Max: 80Min: 43 / Avg: 52.93 / Max: 56Min: 56 / Avg: 69 / Max: 74

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorGTX 1080RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 10701530456075Min: 51 / Avg: 64.33 / Max: 76Min: 53 / Avg: 57.76 / Max: 65Min: 57 / Avg: 64.7 / Max: 74Min: 56 / Avg: 66.24 / Max: 77Min: 43 / Avg: 49.56 / Max: 55Min: 55 / Avg: 64.07 / Max: 72

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorGTX 1080RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 10701530456075Min: 50 / Avg: 65.84 / Max: 74Min: 54 / Avg: 61.56 / Max: 68Min: 59 / Avg: 69.86 / Max: 77Min: 61 / Avg: 70.1 / Max: 76Min: 45 / Avg: 52.18 / Max: 55Min: 59 / Avg: 66.13 / Max: 70

OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09GPU Temperature MonitorGTX 1080RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 10701530456075Min: 60 / Avg: 69.33 / Max: 74Min: 56 / Avg: 65.52 / Max: 71Min: 61 / Avg: 74.1 / Max: 80Min: 61 / Avg: 70.55 / Max: 77Min: 46 / Avg: 52.21 / Max: 55Min: 58 / Avg: 66.1 / Max: 70

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 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 107020406080100SE +/- 3.08, N = 3SE +/- 3.00, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3102.0756.0972.0766.0266.4186.3090.43

clpeak

OpenBenchmarking.orgus, Fewer Is BetterclpeakOpenCL Test: Kernel LatencyRX Vega 56RX Vega 64R9 FuryGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 1070246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 36.986.945.683.723.573.483.523.803.663.74

OpenBenchmarking.orgus x Dollar, Fewer Is BetterclpeakPerformance / Cost - OpenCL Test: Kernel LatencyRX Vega 56RX Vega 64GTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 107090018002700360045002854.823296.502042.284280.432777.042108.482656.201643.341492.261. RX Vega 56: $409 reported cost.2. RX Vega 64: $475 reported cost.3. GTX 1080: $549 reported cost.4. RTX 2080 Ti: $1199 reported cost.5. RTX 2080: $798 reported cost.6. RTX 2070: $599 reported cost.7. GTX 1080 Ti: $699 reported cost.8. GTX 1070 Ti: $449 reported cost.9. GTX 1070: $399 reported cost.

SHOC Scalable HeterOgeneous Computing

OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10System Power Consumption MonitorRX Vega 56RX Vega 64R9 FuryGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 107050100150200250Min: 49.4 / Avg: 197.63 / Max: 234.4Min: 51.8 / Avg: 223.18 / Max: 249.9Min: 113.9 / Avg: 172.33 / Max: 220.8Min: 89.7 / Avg: 144.76 / Max: 164.6Min: 47.5 / Avg: 222.96 / Max: 282.7Min: 47.1 / Avg: 169.8 / Max: 202.9Min: 53.7 / Avg: 162.86 / Max: 198.7Min: 120.8 / Avg: 190.06 / Max: 216.8Min: 47 / Avg: 122.6 / Max: 141.5Min: 82.6 / Avg: 134.72 / Max: 155.3

cl-mem

OpenBenchmarking.orgWatts, Fewer Is Bettercl-mem 2017-01-13System Power Consumption MonitorRX Vega 56RX Vega 64R9 FuryGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 107060120180240300Min: 49.6 / Avg: 196.84 / Max: 261.2Min: 52.4 / Avg: 216.5 / Max: 318.8Min: 90.3 / Avg: 165.77 / Max: 211.3Min: 115.3 / Avg: 149.23 / Max: 161.8Min: 47.1 / Avg: 180.3 / Max: 248.8Min: 46.4 / Avg: 92.77 / Max: 122Min: 43.3 / Avg: 85.23 / Max: 108.2Min: 120.7 / Avg: 179.53 / Max: 209Min: 46.1 / Avg: 105.92 / Max: 138.1Min: 82.6 / Avg: 137.43 / Max: 149.2

LuxMark

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorRX Vega 56RX Vega 64R9 FuryGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 107060120180240300Min: 51.8 / Avg: 251.16 / Max: 263.3Min: 53 / Avg: 323.35 / Max: 337.9Min: 90.4 / Avg: 249.15 / Max: 256.6Min: 90.8 / Avg: 174.24 / Max: 176.2Min: 111.1 / Avg: 315.29 / Max: 328.4Min: 101.9 / Avg: 240.83 / Max: 247.3Min: 78 / Avg: 225.33 / Max: 232.6Min: 122.9 / Avg: 241.59 / Max: 247.8Min: 146.8 / Avg: 148.92 / Max: 149.4Min: 83.1 / Avg: 176.9 / Max: 181.3

Chaos Group V-RAY

OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 1.1.0System Power Consumption MonitorGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 107050100150200250Min: 43.6 / Avg: 153.26 / Max: 165.9Min: 69.5 / Avg: 242.72 / Max: 272Min: 63 / Avg: 191.71 / Max: 202.8Min: 53.7 / Avg: 185.77 / Max: 199.3Min: 120.4 / Avg: 218.99 / Max: 231.8Min: 46.1 / Avg: 130.78 / Max: 135.6Min: 43.4 / Avg: 151.17 / Max: 164.2

CUDA Mini-Nbody

OpenBenchmarking.orgWatts, Fewer Is BetterCUDA Mini-Nbody 2015-11-10System Power Consumption MonitorGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 107060120180240300Min: 43.7 / Avg: 223.02 / Max: 251.7Min: 49.1 / Avg: 234.64 / Max: 336Min: 48.7 / Avg: 233.61 / Max: 284Min: 54.3 / Avg: 215.38 / Max: 246.1Min: 50.5 / Avg: 249.72 / Max: 312.9Min: 47 / Avg: 185.31 / Max: 213.8Min: 43.7 / Avg: 194.09 / Max: 210.9

NVIDIA GPU Cloud TensorFlow

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 107060120180240300Min: 44.7 / Avg: 189.85 / Max: 248.8Min: 56.1 / Avg: 213.62 / Max: 342.3Min: 47.3 / Avg: 179.59 / Max: 284.7Min: 71.1 / Avg: 162.36 / Max: 246.8Min: 54.6 / Avg: 222.3 / Max: 319.6Min: 47 / Avg: 153.76 / Max: 192.3Min: 42.7 / Avg: 174.04 / Max: 212.6

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1080RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 107060120180240300Min: 44.1 / Avg: 196.38 / Max: 249.7Min: 50.5 / Avg: 248.25 / Max: 346.7Min: 48 / Avg: 206.72 / Max: 285Min: 79.7 / Avg: 234.81 / Max: 318.6Min: 48 / Avg: 157.29 / Max: 187.8Min: 45.9 / Avg: 172.02 / Max: 213.8

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1080RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 107060120180240300Min: 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: 303.2Min: 46.9 / Avg: 135.79 / Max: 175Min: 68.9 / Avg: 158.49 / Max: 192.3

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1080RTX 2080 TiRTX 2080RTX 2070GTX 1080 TiGTX 1070 TiGTX 107060120180240300Min: 100.9 / Avg: 178.22 / Max: 229Min: 48.9 / Avg: 257.45 / Max: 338.7Min: 48 / Avg: 211.46 / Max: 284.1Min: 64.2 / Avg: 185.45 / Max: 243.7Min: 126 / Avg: 208.21 / Max: 307.4Min: 48.2 / Avg: 144.76 / Max: 185.9Min: 87.1 / Avg: 157.65 / Max: 201.5

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1080RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 107060120180240300Min: 76.2 / Avg: 215.22 / Max: 247Min: 49.5 / Avg: 249.29 / Max: 343.1Min: 47.7 / Avg: 229.8 / Max: 284.5Min: 64 / Avg: 257.4 / Max: 319.4Min: 46.8 / Avg: 163.6 / Max: 187.8Min: 43.4 / Avg: 181.99 / Max: 210.5

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1080RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 107060120180240300Min: 71.3 / Avg: 185.89 / Max: 249.7Min: 50 / Avg: 183.11 / Max: 341.1Min: 47.6 / Avg: 177.11 / Max: 285.3Min: 52.2 / Avg: 211.84 / Max: 320.9Min: 47.2 / Avg: 146.22 / Max: 188.6Min: 44.1 / Avg: 157.87 / Max: 210.2

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1080RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 107060120180240300Min: 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: 313.1Min: 46.8 / Avg: 160.44 / Max: 192Min: 43.7 / Avg: 168.53 / Max: 201.8

OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA GPU Cloud TensorFlow 18.09System Power Consumption MonitorGTX 1080RTX 2080 TiRTX 2080GTX 1080 TiGTX 1070 TiGTX 107060120180240300Min: 46.3 / Avg: 198.19 / Max: 236.2Min: 50.2 / Avg: 270.5 / Max: 342.3Min: 55.7 / Avg: 239.26 / Max: 287.8Min: 51.2 / Avg: 241.65 / Max: 309.7Min: 58.5 / Avg: 162.02 / Max: 191Min: 54.1 / Avg: 170.77 / Max: 203.5

59 Results Shown

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