NVIDIA GPU Compute AMD Ryzen 9 5900X 12-Core testing with a ASUS ROG CROSSHAIR VIII HERO (3402 BIOS) and NVIDIA TITAN RTX 24GB on Ubuntu 21.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2106042-IB-TITAN666028 .
NVIDIA GPU Compute Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL OpenCL Vulkan Compiler File-System Screen Resolution TITAN RTX AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads) ASUS ROG CROSSHAIR VIII HERO (3402 BIOS) AMD Starship/Matisse 16GB 1000GB Sabrent Rocket 4.0 Plus + 2000GB NVIDIA TITAN RTX 24GB NVIDIA TU102 HD Audio ASUS VP28U Realtek RTL8125 2.5GbE + Intel I211 Ubuntu 21.04 5.11.0-17-generic (x86_64) GNOME Shell 3.38.4 X Server 1.20.11 NVIDIA 465.31 4.6.0 OpenCL 3.0 CUDA 11.3.116 1.2.168 GCC 10.3.0 + CUDA 11.3 ext4 3840x2160 OpenBenchmarking.org - Transparent Huge Pages: madvise - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201009 - GPU Compute Cores: 4608 - Python 3.9.5 - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + 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 AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
NVIDIA GPU Compute hashcat: MD5 hashcat: SHA1 hashcat: SHA-512 hashcat: 7-Zip hashcat: TrueCrypt RIPEMD160 + XTS fahbench: namd-cuda: ATPase Simulation - 327,506 Atoms mixbench: NVIDIA CUDA - Single Precision mixbench: NVIDIA CUDA - Double Precision mixbench: NVIDIA CUDA - Half Precision mixbench: NVIDIA CUDA - Integer octanebench: Total Score luxcorerender: DLSC - GPU luxcorerender: Rainbow Colors and Prism - GPU luxcorerender: LuxCore Benchmark - GPU luxcorerender: Orange Juice - GPU luxcorerender: Danish Mood - GPU arrayfire: BLAS OpenCL arrayfire: Conjugate Gradient OpenCL clpeak: Global Memory Bandwidth clpeak: Single-Precision Float clpeak: Double-Precision Double clpeak: Integer Compute INT vkpeak: fp32-scalar vkpeak: fp32-vec4 vkpeak: fp16-scalar vkpeak: fp16-vec4 vkpeak: fp64-scalar vkpeak: fp64-vec4 vkpeak: int32-scalar vkpeak: int32-vec4 vkpeak: int16-scalar vkpeak: int16-vec4 plaidml: No - Inference - ResNet 50 - OpenCL plaidml: No - Inference - VGG16 - OpenCL plaidml: No - Inference - VGG19 - OpenCL lczero: OpenCL cl-mem: Read cl-mem: Write cl-mem: Copy viennacl: OpenCL BLAS - sCOPY viennacl: OpenCL BLAS - sAXPY viennacl: OpenCL BLAS - dCOPY viennacl: OpenCL BLAS - dAXPY viennacl: OpenCL BLAS - dDOT viennacl: OpenCL BLAS - dGEMM-NN viennacl: OpenCL BLAS - dGEMM-NT viennacl: OpenCL BLAS - dGEMM-TN shoc: OpenCL - Texture Read Bandwidth shoc: OpenCL - FFT SP shoc: OpenCL - GEMM SGEMM_N shoc: OpenCL - MD5 Hash shoc: OpenCL - S3D indigobench: OpenCL GPU - Supercar indigobench: OpenCL GPU - Bedroom blender: BMW27 - CUDA blender: BMW27 - NVIDIA OptiX blender: Classroom - CUDA blender: Classroom - NVIDIA OptiX blender: Fishy Cat - CUDA blender: Fishy Cat - NVIDIA OptiX blender: Pabellon Barcelona - CUDA blender: Pabellon Barcelona - NVIDIA OptiX blender: Barbershop - CUDA blender: Barbershop - NVIDIA OptiX v-ray: NVIDIA CUDA GPU v-ray: NVIDIA RTX GPU vkresample: 2x - Single realsr-ncnn: 4x - Yes realsr-ncnn: 4x - No waifu2x-ncnn: 2x - 3 - Yes betsy: ETC1 - Highest viennacl: OpenCL BLAS - sDOT viennacl: OpenCL BLAS - dGEMV-N viennacl: OpenCL BLAS - dGEMV-T viennacl: OpenCL BLAS - dGEMM-TT TITAN RTX 56725342857 18683816667 2587716667 942450 677829 307.6535 0.13144 15409.84 425.79 28449.56 15616.33 382.299286 7.05 16.82 6.88 7.23 5.30 5005.05 1.637 530.37 14361.16 547.23 13827.29 17175.29 17203.03 17182.72 33537.08 535.94 536.57 17081.01 16983.45 11259.30 14742.21 653.17 247.51 196.56 28858 567.8 495.2 319.3 310 402 495 541 530 495 491 485 1162.96 1579.48 5163.49 36.6575 288.569 35.328 11.583 36.78 18.70 152.72 73.63 69.45 32.73 281.19 97.27 551.44 906.41 1005 1388 13.568 41.896 7.347 3.854 3.703 316 461 371 493 OpenBenchmarking.org
Hashcat Benchmark: MD5 OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: MD5 TITAN RTX 12000M 24000M 36000M 48000M 60000M SE +/- 90782909.18, N = 7 56725342857
Hashcat Benchmark: MD5 OpenBenchmarking.org H/s Per Watt, More Is Better Hashcat 6.1.1 Benchmark: MD5 TITAN RTX 80M 160M 240M 320M 400M 386947389.83
Hashcat GPU Power Consumption Monitor Min Avg Max TITAN RTX 6.4 146.6 288.3 OpenBenchmarking.org Watts, Fewer Is Better Hashcat 6.1.1 GPU Power Consumption Monitor 70 140 210 280 350
Hashcat Benchmark: SHA1 OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: SHA1 TITAN RTX 4000M 8000M 12000M 16000M 20000M SE +/- 27886393.54, N = 6 18683816667
Hashcat Benchmark: SHA1 OpenBenchmarking.org H/s Per Watt, More Is Better Hashcat 6.1.1 Benchmark: SHA1 TITAN RTX 30M 60M 90M 120M 150M 126675761.31
Hashcat GPU Power Consumption Monitor Min Avg Max TITAN RTX 8.8 147.5 284.4 OpenBenchmarking.org Watts, Fewer Is Better Hashcat 6.1.1 GPU Power Consumption Monitor 70 140 210 280 350
Hashcat Benchmark: SHA-512 OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: SHA-512 TITAN RTX 600M 1200M 1800M 2400M 3000M SE +/- 2648574.04, N = 6 2587716667
Hashcat Benchmark: SHA-512 OpenBenchmarking.org H/s Per Watt, More Is Better Hashcat 6.1.1 Benchmark: SHA-512 TITAN RTX 4M 8M 12M 16M 20M 17270009.71
Hashcat GPU Power Consumption Monitor Min Avg Max TITAN RTX 10.4 149.8 285.8 OpenBenchmarking.org Watts, Fewer Is Better Hashcat 6.1.1 GPU Power Consumption Monitor 70 140 210 280 350
Hashcat Benchmark: 7-Zip OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: 7-Zip TITAN RTX 200K 400K 600K 800K 1000K SE +/- 600.42, N = 10 942450
Hashcat Benchmark: 7-Zip OpenBenchmarking.org H/s Per Watt, More Is Better Hashcat 6.1.1 Benchmark: 7-Zip TITAN RTX 2K 4K 6K 8K 10K 10877.75
Hashcat GPU Power Consumption Monitor Min Avg Max TITAN RTX 11.0 86.6 286.4 OpenBenchmarking.org Watts, Fewer Is Better Hashcat 6.1.1 GPU Power Consumption Monitor 70 140 210 280 350
Hashcat Benchmark: TrueCrypt RIPEMD160 + XTS OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: TrueCrypt RIPEMD160 + XTS TITAN RTX 150K 300K 450K 600K 750K SE +/- 690.66, N = 7 677829
Hashcat Benchmark: TrueCrypt RIPEMD160 + XTS OpenBenchmarking.org H/s Per Watt, More Is Better Hashcat 6.1.1 Benchmark: TrueCrypt RIPEMD160 + XTS TITAN RTX 1400 2800 4200 5600 7000 6317.68
Hashcat GPU Power Consumption Monitor Min Avg Max TITAN RTX 10.4 107.3 285.2 OpenBenchmarking.org Watts, Fewer Is Better Hashcat 6.1.1 GPU Power Consumption Monitor 70 140 210 280 350
FAHBench OpenBenchmarking.org Ns Per Day, More Is Better FAHBench 2.3.2 TITAN RTX 70 140 210 280 350 SE +/- 0.84, N = 3 307.65
FAHBench OpenBenchmarking.org Ns Per Day Per Watt, More Is Better FAHBench 2.3.2 TITAN RTX 0.4142 0.8284 1.2426 1.6568 2.071 1.841
FAHBench GPU Power Consumption Monitor Min Avg Max TITAN RTX 10.3 167.1 232.8 OpenBenchmarking.org Watts, Fewer Is Better FAHBench 2.3.2 GPU Power Consumption Monitor 60 120 180 240 300
NAMD CUDA ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD CUDA 2.14 ATPase Simulation - 327,506 Atoms TITAN RTX 0.0296 0.0592 0.0888 0.1184 0.148 SE +/- 0.00043, N = 5 0.13144
NAMD CUDA GPU Power Consumption Monitor Min Avg Max TITAN RTX 13.6 121.5 269.5 OpenBenchmarking.org Watts, Fewer Is Better NAMD CUDA 2.14 GPU Power Consumption Monitor 70 140 210 280 350
Mixbench Backend: NVIDIA CUDA - Benchmark: Single Precision OpenBenchmarking.org GFLOPS, More Is Better Mixbench 2020-06-23 Backend: NVIDIA CUDA - Benchmark: Single Precision TITAN RTX 3K 6K 9K 12K 15K SE +/- 550.35, N = 15 15409.84 1. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2
Mixbench Backend: NVIDIA CUDA - Benchmark: Single Precision OpenBenchmarking.org GFLOPS Per Watt, More Is Better Mixbench 2020-06-23 Backend: NVIDIA CUDA - Benchmark: Single Precision TITAN RTX 60 120 180 240 300 288.73
Mixbench GPU Power Consumption Monitor Min Avg Max TITAN RTX 11.3 53.4 96.3 OpenBenchmarking.org Watts, Fewer Is Better Mixbench 2020-06-23 GPU Power Consumption Monitor 20 40 60 80 100
Mixbench Backend: NVIDIA CUDA - Benchmark: Double Precision OpenBenchmarking.org GFLOPS, More Is Better Mixbench 2020-06-23 Backend: NVIDIA CUDA - Benchmark: Double Precision TITAN RTX 90 180 270 360 450 SE +/- 12.04, N = 15 425.79 1. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2
Mixbench Backend: NVIDIA CUDA - Benchmark: Double Precision OpenBenchmarking.org GFLOPS Per Watt, More Is Better Mixbench 2020-06-23 Backend: NVIDIA CUDA - Benchmark: Double Precision TITAN RTX 2 4 6 8 10 8.369
Mixbench GPU Power Consumption Monitor Min Avg Max TITAN RTX 10.2 50.9 116.5 OpenBenchmarking.org Watts, Fewer Is Better Mixbench 2020-06-23 GPU Power Consumption Monitor 40 80 120 160 200
Mixbench Backend: NVIDIA CUDA - Benchmark: Half Precision OpenBenchmarking.org GFLOPS, More Is Better Mixbench 2020-06-23 Backend: NVIDIA CUDA - Benchmark: Half Precision TITAN RTX 6K 12K 18K 24K 30K SE +/- 392.63, N = 15 28449.56 1. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2
Mixbench Backend: NVIDIA CUDA - Benchmark: Half Precision OpenBenchmarking.org GFLOPS Per Watt, More Is Better Mixbench 2020-06-23 Backend: NVIDIA CUDA - Benchmark: Half Precision TITAN RTX 120 240 360 480 600 567.26
Mixbench GPU Power Consumption Monitor Min Avg Max TITAN RTX 10.1 50.2 122.2 OpenBenchmarking.org Watts, Fewer Is Better Mixbench 2020-06-23 GPU Power Consumption Monitor 40 80 120 160 200
Mixbench Backend: NVIDIA CUDA - Benchmark: Integer OpenBenchmarking.org GIOPS, More Is Better Mixbench 2020-06-23 Backend: NVIDIA CUDA - Benchmark: Integer TITAN RTX 3K 6K 9K 12K 15K SE +/- 315.99, N = 15 15616.33 1. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2
Mixbench Backend: NVIDIA CUDA - Benchmark: Integer OpenBenchmarking.org GIOPS Per Watt, More Is Better Mixbench 2020-06-23 Backend: NVIDIA CUDA - Benchmark: Integer TITAN RTX 70 140 210 280 350 310.23
Mixbench GPU Power Consumption Monitor Min Avg Max TITAN RTX 9.9 50.3 113.3 OpenBenchmarking.org Watts, Fewer Is Better Mixbench 2020-06-23 GPU Power Consumption Monitor 40 80 120 160 200
OctaneBench Total Score OpenBenchmarking.org Score, More Is Better OctaneBench 2020.1 Total Score TITAN RTX 80 160 240 320 400 382.30
OctaneBench Total Score OpenBenchmarking.org Score Per Watt, More Is Better OctaneBench 2020.1 Total Score TITAN RTX 0.3618 0.7236 1.0854 1.4472 1.809 1.608
OctaneBench GPU Power Consumption Monitor Min Avg Max TITAN RTX 9.9 237.8 283.6 OpenBenchmarking.org Watts, Fewer Is Better OctaneBench 2020.1 GPU Power Consumption Monitor 70 140 210 280 350
LuxCoreRender Scene: DLSC - Acceleration: GPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.5 Scene: DLSC - Acceleration: GPU TITAN RTX 2 4 6 8 10 SE +/- 0.00, N = 3 7.05 MIN: 6.55 / MAX: 7.28
LuxCoreRender Scene: DLSC - Acceleration: GPU OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.5 Scene: DLSC - Acceleration: GPU TITAN RTX 0.0074 0.0148 0.0222 0.0296 0.037 0.033
LuxCoreRender GPU Power Consumption Monitor Min Avg Max TITAN RTX 15.8 215.4 234.3 OpenBenchmarking.org Watts, Fewer Is Better LuxCoreRender 2.5 GPU Power Consumption Monitor 60 120 180 240 300
LuxCoreRender Scene: Rainbow Colors and Prism - Acceleration: GPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.5 Scene: Rainbow Colors and Prism - Acceleration: GPU TITAN RTX 4 8 12 16 20 SE +/- 0.01, N = 5 16.82 MIN: 15.77 / MAX: 18.21
LuxCoreRender Scene: Rainbow Colors and Prism - Acceleration: GPU OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.5 Scene: Rainbow Colors and Prism - Acceleration: GPU TITAN RTX 0.0234 0.0468 0.0702 0.0936 0.117 0.104
LuxCoreRender GPU Power Consumption Monitor Min Avg Max TITAN RTX 15.4 161.9 223.5 OpenBenchmarking.org Watts, Fewer Is Better LuxCoreRender 2.5 GPU Power Consumption Monitor 60 120 180 240 300
LuxCoreRender Scene: LuxCore Benchmark - Acceleration: GPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.5 Scene: LuxCore Benchmark - Acceleration: GPU TITAN RTX 2 4 6 8 10 SE +/- 0.00, N = 3 6.88 MIN: 2.2 / MAX: 8.15
LuxCoreRender Scene: LuxCore Benchmark - Acceleration: GPU OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.5 Scene: LuxCore Benchmark - Acceleration: GPU TITAN RTX 0.0079 0.0158 0.0237 0.0316 0.0395 0.035
LuxCoreRender GPU Power Consumption Monitor Min Avg Max TITAN RTX 14.2 195.1 229.1 OpenBenchmarking.org Watts, Fewer Is Better LuxCoreRender 2.5 GPU Power Consumption Monitor 60 120 180 240 300
LuxCoreRender Scene: Orange Juice - Acceleration: GPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.5 Scene: Orange Juice - Acceleration: GPU TITAN RTX 2 4 6 8 10 SE +/- 0.02, N = 3 7.23 MIN: 5.72 / MAX: 9.06
LuxCoreRender Scene: Orange Juice - Acceleration: GPU OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.5 Scene: Orange Juice - Acceleration: GPU TITAN RTX 0.0081 0.0162 0.0243 0.0324 0.0405 0.036
LuxCoreRender GPU Power Consumption Monitor Min Avg Max TITAN RTX 15.1 203.0 230.6 OpenBenchmarking.org Watts, Fewer Is Better LuxCoreRender 2.5 GPU Power Consumption Monitor 60 120 180 240 300
LuxCoreRender Scene: Danish Mood - Acceleration: GPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.5 Scene: Danish Mood - Acceleration: GPU TITAN RTX 1.1925 2.385 3.5775 4.77 5.9625 SE +/- 0.05, N = 6 5.30 MIN: 1.66 / MAX: 6.37
LuxCoreRender Scene: Danish Mood - Acceleration: GPU OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.5 Scene: Danish Mood - Acceleration: GPU TITAN RTX 0.0063 0.0126 0.0189 0.0252 0.0315 0.028
LuxCoreRender GPU Power Consumption Monitor Min Avg Max TITAN RTX 14.3 187.5 222.4 OpenBenchmarking.org Watts, Fewer Is Better LuxCoreRender 2.5 GPU Power Consumption Monitor 60 120 180 240 300
ArrayFire Test: BLAS OpenCL OpenBenchmarking.org GFLOPS, More Is Better ArrayFire 3.7 Test: BLAS OpenCL TITAN RTX 1100 2200 3300 4400 5500 SE +/- 13.00, N = 4 5005.05 1. (CXX) g++ options: -rdynamic
ArrayFire Test: BLAS OpenCL OpenBenchmarking.org GFLOPS Per Watt, More Is Better ArrayFire 3.7 Test: BLAS OpenCL TITAN RTX 6 12 18 24 30 24.39
ArrayFire GPU Power Consumption Monitor Min Avg Max TITAN RTX 14.2 205.2 284.9 OpenBenchmarking.org Watts, Fewer Is Better ArrayFire 3.7 GPU Power Consumption Monitor 70 140 210 280 350
ArrayFire Test: Conjugate Gradient OpenCL OpenBenchmarking.org ms, Fewer Is Better ArrayFire 3.7 Test: Conjugate Gradient OpenCL TITAN RTX 0.3683 0.7366 1.1049 1.4732 1.8415 SE +/- 0.004, N = 11 1.637 1. (CXX) g++ options: -rdynamic
ArrayFire GPU Power Consumption Monitor Min Avg Max TITAN RTX 14.7 99.8 187.2 OpenBenchmarking.org Watts, Fewer Is Better ArrayFire 3.7 GPU Power Consumption Monitor 50 100 150 200 250
clpeak OpenCL Test: Global Memory Bandwidth OpenBenchmarking.org GBPS, More Is Better clpeak OpenCL Test: Global Memory Bandwidth TITAN RTX 110 220 330 440 550 SE +/- 0.03, N = 13 530.37 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL
clpeak OpenCL Test: Global Memory Bandwidth OpenBenchmarking.org GBPS Per Watt, More Is Better clpeak OpenCL Test: Global Memory Bandwidth TITAN RTX 2 4 6 8 10 7.11
clpeak GPU Power Consumption Monitor Min Avg Max TITAN RTX 11.3 74.6 223.0 OpenBenchmarking.org Watts, Fewer Is Better clpeak GPU Power Consumption Monitor 60 120 180 240 300
clpeak OpenCL Test: Single-Precision Float OpenBenchmarking.org GFLOPS, More Is Better clpeak OpenCL Test: Single-Precision Float TITAN RTX 3K 6K 9K 12K 15K SE +/- 180.32, N = 15 14361.16 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL
clpeak OpenCL Test: Single-Precision Float OpenBenchmarking.org GFLOPS Per Watt, More Is Better clpeak OpenCL Test: Single-Precision Float TITAN RTX 40 80 120 160 200 164.27
clpeak GPU Power Consumption Monitor Min Avg Max TITAN RTX 11.0 87.4 240.2 OpenBenchmarking.org Watts, Fewer Is Better clpeak GPU Power Consumption Monitor 60 120 180 240 300
clpeak OpenCL Test: Double-Precision Double OpenBenchmarking.org GFLOPS, More Is Better clpeak OpenCL Test: Double-Precision Double TITAN RTX 120 240 360 480 600 SE +/- 0.04, N = 3 547.23 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL
clpeak OpenCL Test: Double-Precision Double OpenBenchmarking.org GFLOPS Per Watt, More Is Better clpeak OpenCL Test: Double-Precision Double TITAN RTX 0.8888 1.7776 2.6664 3.5552 4.444 3.95
clpeak GPU Power Consumption Monitor Min Avg Max TITAN RTX 10.8 138.5 152.3 OpenBenchmarking.org Watts, Fewer Is Better clpeak GPU Power Consumption Monitor 40 80 120 160 200
clpeak OpenCL Test: Integer Compute INT OpenBenchmarking.org GIOPS, More Is Better clpeak OpenCL Test: Integer Compute INT TITAN RTX 3K 6K 9K 12K 15K SE +/- 132.02, N = 15 13827.29 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL
clpeak OpenCL Test: Integer Compute INT OpenBenchmarking.org GIOPS Per Watt, More Is Better clpeak OpenCL Test: Integer Compute INT TITAN RTX 30 60 90 120 150 133.32
clpeak GPU Power Consumption Monitor Min Avg Max TITAN RTX 11.6 103.7 285.7 OpenBenchmarking.org Watts, Fewer Is Better clpeak GPU Power Consumption Monitor 70 140 210 280 350
vkpeak fp32-scalar OpenBenchmarking.org GFLOPS, More Is Better vkpeak 20210424 fp32-scalar TITAN RTX 4K 8K 12K 16K 20K SE +/- 130.00, N = 3 17175.29
vkpeak fp32-vec4 OpenBenchmarking.org GFLOPS, More Is Better vkpeak 20210424 fp32-vec4 TITAN RTX 4K 8K 12K 16K 20K SE +/- 134.80, N = 3 17203.03
vkpeak fp16-scalar OpenBenchmarking.org GFLOPS, More Is Better vkpeak 20210424 fp16-scalar TITAN RTX 4K 8K 12K 16K 20K SE +/- 93.03, N = 3 17182.72
vkpeak fp16-vec4 OpenBenchmarking.org GFLOPS, More Is Better vkpeak 20210424 fp16-vec4 TITAN RTX 7K 14K 21K 28K 35K SE +/- 87.22, N = 3 33537.08
vkpeak fp64-scalar OpenBenchmarking.org GFLOPS, More Is Better vkpeak 20210424 fp64-scalar TITAN RTX 120 240 360 480 600 SE +/- 1.42, N = 3 535.94
vkpeak fp64-vec4 OpenBenchmarking.org GFLOPS, More Is Better vkpeak 20210424 fp64-vec4 TITAN RTX 120 240 360 480 600 SE +/- 1.21, N = 3 536.57
vkpeak int32-scalar OpenBenchmarking.org GIOPS, More Is Better vkpeak 20210424 int32-scalar TITAN RTX 4K 8K 12K 16K 20K SE +/- 45.39, N = 3 17081.01
vkpeak int32-vec4 OpenBenchmarking.org GIOPS, More Is Better vkpeak 20210424 int32-vec4 TITAN RTX 4K 8K 12K 16K 20K SE +/- 47.86, N = 3 16983.45
vkpeak int16-scalar OpenBenchmarking.org GIOPS, More Is Better vkpeak 20210424 int16-scalar TITAN RTX 2K 4K 6K 8K 10K SE +/- 29.00, N = 3 11259.30
vkpeak int16-vec4 OpenBenchmarking.org GIOPS, More Is Better vkpeak 20210424 int16-vec4 TITAN RTX 3K 6K 9K 12K 15K SE +/- 14.87, N = 3 14742.21
vkpeak int16-vec4 OpenBenchmarking.org GIOPS Per Watt, More Is Better vkpeak 20210424 int16-vec4 TITAN RTX 15 30 45 60 75 69.13
vkpeak GPU Power Consumption Monitor Min Avg Max TITAN RTX 11.3 213.3 285.9 OpenBenchmarking.org Watts, Fewer Is Better vkpeak 20210424 GPU Power Consumption Monitor 70 140 210 280 350
PlaidML FP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCL OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCL TITAN RTX 140 280 420 560 700 SE +/- 1.07, N = 6 653.17
PlaidML FP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCL OpenBenchmarking.org FPS Per Watt, More Is Better PlaidML FP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCL TITAN RTX 1.1329 2.2658 3.3987 4.5316 5.6645 5.035
PlaidML GPU Power Consumption Monitor Min Avg Max TITAN RTX 12.6 129.7 272.6 OpenBenchmarking.org Watts, Fewer Is Better PlaidML GPU Power Consumption Monitor 70 140 210 280 350
PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCL OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCL TITAN RTX 50 100 150 200 250 SE +/- 0.66, N = 3 247.51
PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCL OpenBenchmarking.org FPS Per Watt, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCL TITAN RTX 0.3839 0.7678 1.1517 1.5356 1.9195 1.706
PlaidML GPU Power Consumption Monitor Min Avg Max TITAN RTX 12.0 145.1 291.1 OpenBenchmarking.org Watts, Fewer Is Better PlaidML GPU Power Consumption Monitor 70 140 210 280 350
PlaidML FP16: No - Mode: Inference - Network: VGG19 - Device: OpenCL OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG19 - Device: OpenCL TITAN RTX 40 80 120 160 200 SE +/- 0.58, N = 3 196.56
PlaidML FP16: No - Mode: Inference - Network: VGG19 - Device: OpenCL OpenBenchmarking.org FPS Per Watt, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG19 - Device: OpenCL TITAN RTX 0.2819 0.5638 0.8457 1.1276 1.4095 1.253
PlaidML GPU Power Consumption Monitor Min Avg Max TITAN RTX 12.6 156.9 313.6 OpenBenchmarking.org Watts, Fewer Is Better PlaidML GPU Power Consumption Monitor 80 160 240 320 400
LeelaChessZero Backend: OpenCL OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: OpenCL TITAN RTX 6K 12K 18K 24K 30K SE +/- 77.21, N = 3 28858 1. (CXX) g++ options: -flto -pthread
LeelaChessZero Backend: OpenCL OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better LeelaChessZero 0.26 Backend: OpenCL TITAN RTX 20 40 60 80 100 107.91
LeelaChessZero GPU Power Consumption Monitor Min Avg Max TITAN RTX 13.1 267.4 290.2 OpenBenchmarking.org Watts, Fewer Is Better LeelaChessZero 0.26 GPU Power Consumption Monitor 70 140 210 280 350
cl-mem Benchmark: Read OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Read TITAN RTX 120 240 360 480 600 SE +/- 0.10, N = 9 567.8 1. (CC) gcc options: -O2 -flto -lOpenCL
cl-mem Benchmark: Read OpenBenchmarking.org GB/s Per Watt, More Is Better cl-mem 2017-01-13 Benchmark: Read TITAN RTX 1.1383 2.2766 3.4149 4.5532 5.6915 5.059
cl-mem GPU Power Consumption Monitor Min Avg Max TITAN RTX 15.1 112.2 197.8 OpenBenchmarking.org Watts, Fewer Is Better cl-mem 2017-01-13 GPU Power Consumption Monitor 50 100 150 200 250
cl-mem Benchmark: Write OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Write TITAN RTX 110 220 330 440 550 SE +/- 0.76, N = 9 495.2 1. (CC) gcc options: -O2 -flto -lOpenCL
cl-mem Benchmark: Write OpenBenchmarking.org GB/s Per Watt, More Is Better cl-mem 2017-01-13 Benchmark: Write TITAN RTX 1.0238 2.0476 3.0714 4.0952 5.119 4.55
cl-mem GPU Power Consumption Monitor Min Avg Max TITAN RTX 13.1 108.8 187.1 OpenBenchmarking.org Watts, Fewer Is Better cl-mem 2017-01-13 GPU Power Consumption Monitor 50 100 150 200 250
cl-mem Benchmark: Copy OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Copy TITAN RTX 70 140 210 280 350 SE +/- 0.10, N = 9 319.3 1. (CC) gcc options: -O2 -flto -lOpenCL
cl-mem Benchmark: Copy OpenBenchmarking.org GB/s Per Watt, More Is Better cl-mem 2017-01-13 Benchmark: Copy TITAN RTX 0.6739 1.3478 2.0217 2.6956 3.3695 2.995
cl-mem GPU Power Consumption Monitor Min Avg Max TITAN RTX 12.6 106.6 184.6 OpenBenchmarking.org Watts, Fewer Is Better cl-mem 2017-01-13 GPU Power Consumption Monitor 50 100 150 200 250
ViennaCL Test: OpenCL BLAS - sCOPY OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - sCOPY TITAN RTX 70 140 210 280 350 SE +/- 1.20, N = 3 310 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: OpenCL BLAS - sAXPY OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - sAXPY TITAN RTX 90 180 270 360 450 SE +/- 0.33, N = 3 402 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: OpenCL BLAS - dCOPY OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - dCOPY TITAN RTX 110 220 330 440 550 495 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: OpenCL BLAS - dAXPY OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - dAXPY TITAN RTX 120 240 360 480 600 541 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: OpenCL BLAS - dDOT OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - dDOT TITAN RTX 110 220 330 440 550 530 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: OpenCL BLAS - dGEMM-NN OpenBenchmarking.org GFLOPs/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - dGEMM-NN TITAN RTX 110 220 330 440 550 SE +/- 1.20, N = 3 495 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: OpenCL BLAS - dGEMM-NT OpenBenchmarking.org GFLOPs/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - dGEMM-NT TITAN RTX 110 220 330 440 550 SE +/- 1.33, N = 3 491 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: OpenCL BLAS - dGEMM-TN OpenBenchmarking.org GFLOPs/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - dGEMM-TN TITAN RTX 100 200 300 400 500 SE +/- 1.33, N = 3 485 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL GPU Power Consumption Monitor Min Avg Max TITAN RTX 12.0 170.0 286.1 OpenBenchmarking.org Watts, Fewer Is Better ViennaCL 1.7.1 GPU Power Consumption Monitor 70 140 210 280 350
SHOC Scalable HeterOgeneous Computing Target: OpenCL - Benchmark: Texture Read Bandwidth OpenBenchmarking.org GB/s, More Is Better SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: Texture Read Bandwidth TITAN RTX 300 600 900 1200 1500 SE +/- 2.01, N = 3 1162.96 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
SHOC Scalable HeterOgeneous Computing Target: OpenCL - Benchmark: Texture Read Bandwidth OpenBenchmarking.org GB/s Per Watt, More Is Better SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: Texture Read Bandwidth TITAN RTX 2 4 6 8 10 7.428
SHOC Scalable HeterOgeneous Computing GPU Power Consumption Monitor Min Avg Max TITAN RTX 11.5 156.6 234.2 OpenBenchmarking.org Watts, Fewer Is Better SHOC Scalable HeterOgeneous Computing 2020-04-17 GPU Power Consumption Monitor 60 120 180 240 300
SHOC Scalable HeterOgeneous Computing Target: OpenCL - Benchmark: FFT SP OpenBenchmarking.org GFLOPS, More Is Better SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: FFT SP TITAN RTX 300 600 900 1200 1500 SE +/- 0.53, N = 12 1579.48 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
SHOC Scalable HeterOgeneous Computing Target: OpenCL - Benchmark: FFT SP OpenBenchmarking.org GFLOPS Per Watt, More Is Better SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: FFT SP TITAN RTX 6 12 18 24 30 23.45
SHOC Scalable HeterOgeneous Computing GPU Power Consumption Monitor Min Avg Max TITAN RTX 11.7 67.4 202.1 OpenBenchmarking.org Watts, Fewer Is Better SHOC Scalable HeterOgeneous Computing 2020-04-17 GPU Power Consumption Monitor 50 100 150 200 250
SHOC Scalable HeterOgeneous Computing Target: OpenCL - Benchmark: GEMM SGEMM_N OpenBenchmarking.org GFLOPS, More Is Better SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: GEMM SGEMM_N TITAN RTX 1100 2200 3300 4400 5500 SE +/- 44.05, N = 15 5163.49 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
SHOC Scalable HeterOgeneous Computing Target: OpenCL - Benchmark: GEMM SGEMM_N OpenBenchmarking.org GFLOPS Per Watt, More Is Better SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: GEMM SGEMM_N TITAN RTX 12 24 36 48 60 53.69
SHOC Scalable HeterOgeneous Computing GPU Power Consumption Monitor Min Avg Max TITAN RTX 10.5 96.2 250.9 OpenBenchmarking.org Watts, Fewer Is Better SHOC Scalable HeterOgeneous Computing 2020-04-17 GPU Power Consumption Monitor 60 120 180 240 300
SHOC Scalable HeterOgeneous Computing Target: OpenCL - Benchmark: MD5 Hash OpenBenchmarking.org GHash/s, More Is Better SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: MD5 Hash TITAN RTX 8 16 24 32 40 SE +/- 0.04, N = 14 36.66 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
SHOC Scalable HeterOgeneous Computing Target: OpenCL - Benchmark: MD5 Hash OpenBenchmarking.org GHash/s Per Watt, More Is Better SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: MD5 Hash TITAN RTX 0.1276 0.2552 0.3828 0.5104 0.638 0.567
SHOC Scalable HeterOgeneous Computing GPU Power Consumption Monitor Min Avg Max TITAN RTX 9.8 64.7 287.5 OpenBenchmarking.org Watts, Fewer Is Better SHOC Scalable HeterOgeneous Computing 2020-04-17 GPU Power Consumption Monitor 70 140 210 280 350
SHOC Scalable HeterOgeneous Computing Target: OpenCL - Benchmark: S3D OpenBenchmarking.org GFLOPS, More Is Better SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: S3D TITAN RTX 60 120 180 240 300 SE +/- 0.11, N = 13 288.57 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
SHOC Scalable HeterOgeneous Computing Target: OpenCL - Benchmark: S3D OpenBenchmarking.org GFLOPS Per Watt, More Is Better SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: S3D TITAN RTX 2 4 6 8 10 6.418
SHOC Scalable HeterOgeneous Computing GPU Power Consumption Monitor Min Avg Max TITAN RTX 9.9 45.0 67.9 OpenBenchmarking.org Watts, Fewer Is Better SHOC Scalable HeterOgeneous Computing 2020-04-17 GPU Power Consumption Monitor 20 40 60 80 100
IndigoBench Acceleration: OpenCL GPU - Scene: Supercar OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: OpenCL GPU - Scene: Supercar TITAN RTX 8 16 24 32 40 SE +/- 0.05, N = 3 35.33
IndigoBench Acceleration: OpenCL GPU - Scene: Supercar OpenBenchmarking.org M samples/s Per Watt, More Is Better IndigoBench 4.4 Acceleration: OpenCL GPU - Scene: Supercar TITAN RTX 0.0385 0.077 0.1155 0.154 0.1925 0.171
IndigoBench GPU Power Consumption Monitor Min Avg Max TITAN RTX 8.6 206.7 259.3 OpenBenchmarking.org Watts, Fewer Is Better IndigoBench 4.4 GPU Power Consumption Monitor 70 140 210 280 350
IndigoBench Acceleration: OpenCL GPU - Scene: Bedroom OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: OpenCL GPU - Scene: Bedroom TITAN RTX 3 6 9 12 15 SE +/- 0.00, N = 3 11.58
IndigoBench Acceleration: OpenCL GPU - Scene: Bedroom OpenBenchmarking.org M samples/s Per Watt, More Is Better IndigoBench 4.4 Acceleration: OpenCL GPU - Scene: Bedroom TITAN RTX 0.0117 0.0234 0.0351 0.0468 0.0585 0.052
IndigoBench GPU Power Consumption Monitor Min Avg Max TITAN RTX 14.1 221.1 260.0 OpenBenchmarking.org Watts, Fewer Is Better IndigoBench 4.4 GPU Power Consumption Monitor 70 140 210 280 350
Blender Blend File: BMW27 - Compute: CUDA OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.92 Blend File: BMW27 - Compute: CUDA TITAN RTX 8 16 24 32 40 SE +/- 0.03, N = 3 36.78
Blender GPU Power Consumption Monitor Min Avg Max TITAN RTX 15.1 215.0 253.7 OpenBenchmarking.org Watts, Fewer Is Better Blender 2.92 GPU Power Consumption Monitor 70 140 210 280 350
Blender Blend File: BMW27 - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.92 Blend File: BMW27 - Compute: NVIDIA OptiX TITAN RTX 5 10 15 20 25 SE +/- 0.02, N = 3 18.70
Blender GPU Power Consumption Monitor Min Avg Max TITAN RTX 15.7 184.8 230.1 OpenBenchmarking.org Watts, Fewer Is Better Blender 2.92 GPU Power Consumption Monitor 60 120 180 240 300
Blender Blend File: Classroom - Compute: CUDA OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.92 Blend File: Classroom - Compute: CUDA TITAN RTX 30 60 90 120 150 SE +/- 0.17, N = 3 152.72
Blender GPU Power Consumption Monitor Min Avg Max TITAN RTX 14.3 217.4 231.3 OpenBenchmarking.org Watts, Fewer Is Better Blender 2.92 GPU Power Consumption Monitor 60 120 180 240 300
Blender Blend File: Classroom - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.92 Blend File: Classroom - Compute: NVIDIA OptiX TITAN RTX 16 32 48 64 80 SE +/- 0.09, N = 3 73.63
Blender GPU Power Consumption Monitor Min Avg Max TITAN RTX 15.4 215.7 233.4 OpenBenchmarking.org Watts, Fewer Is Better Blender 2.92 GPU Power Consumption Monitor 60 120 180 240 300
Blender Blend File: Fishy Cat - Compute: CUDA OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.92 Blend File: Fishy Cat - Compute: CUDA TITAN RTX 15 30 45 60 75 SE +/- 0.02, N = 3 69.45
Blender GPU Power Consumption Monitor Min Avg Max TITAN RTX 15.3 232.4 282.6 OpenBenchmarking.org Watts, Fewer Is Better Blender 2.92 GPU Power Consumption Monitor 70 140 210 280 350
Blender Blend File: Fishy Cat - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.92 Blend File: Fishy Cat - Compute: NVIDIA OptiX TITAN RTX 8 16 24 32 40 SE +/- 0.05, N = 3 32.73
Blender GPU Power Consumption Monitor Min Avg Max TITAN RTX 15.8 212.7 261.1 OpenBenchmarking.org Watts, Fewer Is Better Blender 2.92 GPU Power Consumption Monitor 70 140 210 280 350
Blender Blend File: Pabellon Barcelona - Compute: CUDA OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.92 Blend File: Pabellon Barcelona - Compute: CUDA TITAN RTX 60 120 180 240 300 SE +/- 0.06, N = 3 281.19
Blender GPU Power Consumption Monitor Min Avg Max TITAN RTX 15.2 233.1 271.6 OpenBenchmarking.org Watts, Fewer Is Better Blender 2.92 GPU Power Consumption Monitor 70 140 210 280 350
Blender Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.92 Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX TITAN RTX 20 40 60 80 100 SE +/- 0.04, N = 3 97.27
Blender GPU Power Consumption Monitor Min Avg Max TITAN RTX 15.5 214.7 238.8 OpenBenchmarking.org Watts, Fewer Is Better Blender 2.92 GPU Power Consumption Monitor 60 120 180 240 300
Blender Blend File: Barbershop - Compute: CUDA OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.92 Blend File: Barbershop - Compute: CUDA TITAN RTX 120 240 360 480 600 SE +/- 0.57, N = 3 551.44
Blender GPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Blender 2.92 GPU Power Consumption Monitor TITAN RTX 40 80 120 160 200 Min: 14.83 / Avg: 194.62 / Max: 209.75
Blender Blend File: Barbershop - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.92 Blend File: Barbershop - Compute: NVIDIA OptiX TITAN RTX 200 400 600 800 1000 SE +/- 1.64, N = 3 906.41
Blender GPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Blender 2.92 GPU Power Consumption Monitor TITAN RTX 40 80 120 160 200 Min: 14.27 / Avg: 194.86 / Max: 204.84
Chaos Group V-RAY Mode: NVIDIA CUDA GPU OpenBenchmarking.org vpaths, More Is Better Chaos Group V-RAY 5 Mode: NVIDIA CUDA GPU TITAN RTX 200 400 600 800 1000 1005
Chaos Group V-RAY Mode: NVIDIA CUDA GPU OpenBenchmarking.org vpaths Per Watt, More Is Better Chaos Group V-RAY 5 Mode: NVIDIA CUDA GPU TITAN RTX 1.2497 2.4994 3.7491 4.9988 6.2485 5.554
Chaos Group V-RAY GPU Power Consumption Monitor Min Avg Max TITAN RTX 13.6 180.9 239.7 OpenBenchmarking.org Watts, Fewer Is Better Chaos Group V-RAY 5 GPU Power Consumption Monitor 60 120 180 240 300
Chaos Group V-RAY Mode: NVIDIA RTX GPU OpenBenchmarking.org vrays, More Is Better Chaos Group V-RAY 5 Mode: NVIDIA RTX GPU TITAN RTX 300 600 900 1200 1500 SE +/- 0.67, N = 3 1388
Chaos Group V-RAY Mode: NVIDIA RTX GPU OpenBenchmarking.org vrays Per Watt, More Is Better Chaos Group V-RAY 5 Mode: NVIDIA RTX GPU TITAN RTX 2 4 6 8 10 8.067
Chaos Group V-RAY GPU Power Consumption Monitor Min Avg Max TITAN RTX 13.6 172.1 219.3 OpenBenchmarking.org Watts, Fewer Is Better Chaos Group V-RAY 5 GPU Power Consumption Monitor 60 120 180 240 300
VkResample Upscale: 2x - Precision: Single OpenBenchmarking.org ms, Fewer Is Better VkResample 1.0 Upscale: 2x - Precision: Single TITAN RTX 3 6 9 12 15 SE +/- 0.02, N = 5 13.57 1. (CXX) g++ options: -O3 -pthread
VkResample GPU Power Consumption Monitor Min Avg Max TITAN RTX 11.3 56.9 277.0 OpenBenchmarking.org Watts, Fewer Is Better VkResample 1.0 GPU Power Consumption Monitor 70 140 210 280 350
RealSR-NCNN Scale: 4x - TAA: Yes OpenBenchmarking.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: Yes TITAN RTX 10 20 30 40 50 SE +/- 0.18, N = 3 41.90
RealSR-NCNN GPU Power Consumption Monitor Min Avg Max TITAN RTX 11.2 247.9 289.9 OpenBenchmarking.org Watts, Fewer Is Better RealSR-NCNN 20200818 GPU Power Consumption Monitor 70 140 210 280 350
RealSR-NCNN Scale: 4x - TAA: No OpenBenchmarking.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: No TITAN RTX 2 4 6 8 10 SE +/- 0.018, N = 6 7.347
RealSR-NCNN GPU Power Consumption Monitor Min Avg Max TITAN RTX 14.6 149.9 294.0 OpenBenchmarking.org Watts, Fewer Is Better RealSR-NCNN 20200818 GPU Power Consumption Monitor 70 140 210 280 350
Waifu2x-NCNN Vulkan Scale: 2x - Denoise: 3 - TAA: Yes OpenBenchmarking.org Seconds, Fewer Is Better Waifu2x-NCNN Vulkan 20200818 Scale: 2x - Denoise: 3 - TAA: Yes TITAN RTX 0.8672 1.7344 2.6016 3.4688 4.336 SE +/- 0.005, N = 8 3.854
Waifu2x-NCNN Vulkan GPU Power Consumption Monitor Min Avg Max TITAN RTX 12.8 130.0 271.4 OpenBenchmarking.org Watts, Fewer Is Better Waifu2x-NCNN Vulkan 20200818 GPU Power Consumption Monitor 70 140 210 280 350
Betsy GPU Compressor Codec: ETC1 - Quality: Highest OpenBenchmarking.org Seconds, Fewer Is Better Betsy GPU Compressor 1.1 Beta Codec: ETC1 - Quality: Highest TITAN RTX 0.8332 1.6664 2.4996 3.3328 4.166 SE +/- 0.009, N = 9 3.703 1. (CXX) g++ options: -O3 -O2 -lpthread -ldl
Betsy GPU Compressor GPU Power Consumption Monitor Min Avg Max TITAN RTX 12.3 118.2 285.6 OpenBenchmarking.org Watts, Fewer Is Better Betsy GPU Compressor 1.1 Beta GPU Power Consumption Monitor 70 140 210 280 350
ViennaCL Test: OpenCL BLAS - sDOT OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - sDOT TITAN RTX 70 140 210 280 350 316 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: OpenCL BLAS - dGEMV-N OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - dGEMV-N TITAN RTX 100 200 300 400 500 SE +/- 0.33, N = 3 461 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: OpenCL BLAS - dGEMV-T OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - dGEMV-T TITAN RTX 80 160 240 320 400 SE +/- 0.33, N = 3 371 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: OpenCL BLAS - dGEMM-TT OpenBenchmarking.org GFLOPs/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - dGEMM-TT TITAN RTX 110 220 330 440 550 493 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: OpenCL BLAS - dGEMM-TT OpenBenchmarking.org GFLOPs/s Per Watt, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - dGEMM-TT TITAN RTX 0.6527 1.3054 1.9581 2.6108 3.2635 2.901
Phoronix Test Suite v10.8.4