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 ComputeProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionTITAN RTXAMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads)ASUS ROG CROSSHAIR VIII HERO (3402 BIOS)AMD Starship/Matisse16GB1000GB Sabrent Rocket 4.0 Plus + 2000GBNVIDIA TITAN RTX 24GBNVIDIA TU102 HD AudioASUS VP28URealtek RTL8125 2.5GbE + Intel I211Ubuntu 21.045.11.0-17-generic (x86_64)GNOME Shell 3.38.4X Server 1.20.11NVIDIA 465.314.6.0OpenCL 3.0 CUDA 11.3.1161.2.168GCC 10.3.0 + CUDA 11.3ext43840x2160OpenBenchmarking.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 Computehashcat: MD5hashcat: SHA1hashcat: SHA-512hashcat: 7-Ziphashcat: TrueCrypt RIPEMD160 + XTSfahbench: namd-cuda: ATPase Simulation - 327,506 Atomsmixbench: NVIDIA CUDA - Single Precisionmixbench: NVIDIA CUDA - Double Precisionmixbench: NVIDIA CUDA - Half Precisionmixbench: NVIDIA CUDA - Integeroctanebench: Total Scoreluxcorerender: DLSC - GPUluxcorerender: Rainbow Colors and Prism - GPUluxcorerender: LuxCore Benchmark - GPUluxcorerender: Orange Juice - GPUluxcorerender: Danish Mood - GPUarrayfire: BLAS OpenCLarrayfire: Conjugate Gradient OpenCLclpeak: Global Memory Bandwidthclpeak: Single-Precision Floatclpeak: Double-Precision Doubleclpeak: Integer Compute INTvkpeak: fp32-scalarvkpeak: fp32-vec4vkpeak: fp16-scalarvkpeak: fp16-vec4vkpeak: fp64-scalarvkpeak: fp64-vec4vkpeak: int32-scalarvkpeak: int32-vec4vkpeak: int16-scalarvkpeak: int16-vec4plaidml: No - Inference - ResNet 50 - OpenCLplaidml: No - Inference - VGG16 - OpenCLplaidml: No - Inference - VGG19 - OpenCLlczero: OpenCLcl-mem: Readcl-mem: Writecl-mem: Copyviennacl: OpenCL BLAS - sCOPYviennacl: OpenCL BLAS - sAXPYviennacl: OpenCL BLAS - dCOPYviennacl: OpenCL BLAS - dAXPYviennacl: OpenCL BLAS - dDOTviennacl: OpenCL BLAS - dGEMM-NNviennacl: OpenCL BLAS - dGEMM-NTviennacl: OpenCL BLAS - dGEMM-TNshoc: OpenCL - Texture Read Bandwidthshoc: OpenCL - FFT SPshoc: OpenCL - GEMM SGEMM_Nshoc: OpenCL - MD5 Hashshoc: OpenCL - S3Dindigobench: OpenCL GPU - Supercarindigobench: OpenCL GPU - Bedroomblender: BMW27 - CUDAblender: BMW27 - NVIDIA OptiXblender: Classroom - CUDAblender: Classroom - NVIDIA OptiXblender: Fishy Cat - CUDAblender: Fishy Cat - NVIDIA OptiXblender: Pabellon Barcelona - CUDAblender: Pabellon Barcelona - NVIDIA OptiXblender: Barbershop - CUDAblender: Barbershop - NVIDIA OptiXv-ray: NVIDIA CUDA GPUv-ray: NVIDIA RTX GPUvkresample: 2x - Singlerealsr-ncnn: 4x - Yesrealsr-ncnn: 4x - Nowaifu2x-ncnn: 2x - 3 - Yesbetsy: ETC1 - Highestviennacl: OpenCL BLAS - sDOTviennacl: OpenCL BLAS - dGEMV-Nviennacl: OpenCL BLAS - dGEMV-Tviennacl: OpenCL BLAS - dGEMM-TTTITAN RTX56725342857186838166672587716667942450677829307.65350.1314415409.84425.7928449.5615616.33382.2992867.0516.826.887.235.305005.051.637530.3714361.16547.2313827.2917175.2917203.0317182.7233537.08535.94536.5717081.0116983.4511259.3014742.21653.17247.51196.5628858567.8495.2319.33104024955415304954914851162.961579.485163.4936.6575288.56935.32811.58336.7818.70152.7273.6369.4532.73281.1997.27551.44906.411005138813.56841.8967.3473.8543.703316461371493OpenBenchmarking.org

Hashcat

Benchmark: MD5

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: MD5TITAN RTX12000M24000M36000M48000M60000MSE +/- 90782909.18, N = 756725342857

Hashcat

Benchmark: MD5

OpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.1.1Benchmark: MD5TITAN RTX80M160M240M320M400M386947389.83

Hashcat

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX6.4146.6288.3OpenBenchmarking.orgWatts, Fewer Is BetterHashcat 6.1.1GPU Power Consumption Monitor70140210280350

Hashcat

Benchmark: SHA1

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: SHA1TITAN RTX4000M8000M12000M16000M20000MSE +/- 27886393.54, N = 618683816667

Hashcat

Benchmark: SHA1

OpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.1.1Benchmark: SHA1TITAN RTX30M60M90M120M150M126675761.31

Hashcat

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX8.8147.5284.4OpenBenchmarking.orgWatts, Fewer Is BetterHashcat 6.1.1GPU Power Consumption Monitor70140210280350

Hashcat

Benchmark: SHA-512

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: SHA-512TITAN RTX600M1200M1800M2400M3000MSE +/- 2648574.04, N = 62587716667

Hashcat

Benchmark: SHA-512

OpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.1.1Benchmark: SHA-512TITAN RTX4M8M12M16M20M17270009.71

Hashcat

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX10.4149.8285.8OpenBenchmarking.orgWatts, Fewer Is BetterHashcat 6.1.1GPU Power Consumption Monitor70140210280350

Hashcat

Benchmark: 7-Zip

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: 7-ZipTITAN RTX200K400K600K800K1000KSE +/- 600.42, N = 10942450

Hashcat

Benchmark: 7-Zip

OpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.1.1Benchmark: 7-ZipTITAN RTX2K4K6K8K10K10877.75

Hashcat

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX11.086.6286.4OpenBenchmarking.orgWatts, Fewer Is BetterHashcat 6.1.1GPU Power Consumption Monitor70140210280350

Hashcat

Benchmark: TrueCrypt RIPEMD160 + XTS

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: TrueCrypt RIPEMD160 + XTSTITAN RTX150K300K450K600K750KSE +/- 690.66, N = 7677829

Hashcat

Benchmark: TrueCrypt RIPEMD160 + XTS

OpenBenchmarking.orgH/s Per Watt, More Is BetterHashcat 6.1.1Benchmark: TrueCrypt RIPEMD160 + XTSTITAN RTX140028004200560070006317.68

Hashcat

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX10.4107.3285.2OpenBenchmarking.orgWatts, Fewer Is BetterHashcat 6.1.1GPU Power Consumption Monitor70140210280350

FAHBench

OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2TITAN RTX70140210280350SE +/- 0.84, N = 3307.65

FAHBench

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterFAHBench 2.3.2TITAN RTX0.41420.82841.24261.65682.0711.841

FAHBench

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX10.3167.1232.8OpenBenchmarking.orgWatts, Fewer Is BetterFAHBench 2.3.2GPU Power Consumption Monitor60120180240300

NAMD CUDA

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.14ATPase Simulation - 327,506 AtomsTITAN RTX0.02960.05920.08880.11840.148SE +/- 0.00043, N = 50.13144

NAMD CUDA

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX13.6121.5269.5OpenBenchmarking.orgWatts, Fewer Is BetterNAMD CUDA 2.14GPU Power Consumption Monitor70140210280350

Mixbench

Backend: NVIDIA CUDA - Benchmark: Single Precision

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Single PrecisionTITAN RTX3K6K9K12K15KSE +/- 550.35, N = 1515409.841. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

Mixbench

Backend: NVIDIA CUDA - Benchmark: Single Precision

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Single PrecisionTITAN RTX60120180240300288.73

Mixbench

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX11.353.496.3OpenBenchmarking.orgWatts, Fewer Is BetterMixbench 2020-06-23GPU Power Consumption Monitor20406080100

Mixbench

Backend: NVIDIA CUDA - Benchmark: Double Precision

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Double PrecisionTITAN RTX90180270360450SE +/- 12.04, N = 15425.791. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

Mixbench

Backend: NVIDIA CUDA - Benchmark: Double Precision

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Double PrecisionTITAN RTX2468108.369

Mixbench

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX10.250.9116.5OpenBenchmarking.orgWatts, Fewer Is BetterMixbench 2020-06-23GPU Power Consumption Monitor4080120160200

Mixbench

Backend: NVIDIA CUDA - Benchmark: Half Precision

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Half PrecisionTITAN RTX6K12K18K24K30KSE +/- 392.63, N = 1528449.561. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

Mixbench

Backend: NVIDIA CUDA - Benchmark: Half Precision

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Half PrecisionTITAN RTX120240360480600567.26

Mixbench

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX10.150.2122.2OpenBenchmarking.orgWatts, Fewer Is BetterMixbench 2020-06-23GPU Power Consumption Monitor4080120160200

Mixbench

Backend: NVIDIA CUDA - Benchmark: Integer

OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: IntegerTITAN RTX3K6K9K12K15KSE +/- 315.99, N = 1515616.331. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

Mixbench

Backend: NVIDIA CUDA - Benchmark: Integer

OpenBenchmarking.orgGIOPS Per Watt, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: IntegerTITAN RTX70140210280350310.23

Mixbench

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX9.950.3113.3OpenBenchmarking.orgWatts, Fewer Is BetterMixbench 2020-06-23GPU Power Consumption Monitor4080120160200

OctaneBench

Total Score

OpenBenchmarking.orgScore, More Is BetterOctaneBench 2020.1Total ScoreTITAN RTX80160240320400382.30

OctaneBench

Total Score

OpenBenchmarking.orgScore Per Watt, More Is BetterOctaneBench 2020.1Total ScoreTITAN RTX0.36180.72361.08541.44721.8091.608

OctaneBench

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX9.9237.8283.6OpenBenchmarking.orgWatts, Fewer Is BetterOctaneBench 2020.1GPU Power Consumption Monitor70140210280350

LuxCoreRender

Scene: DLSC - Acceleration: GPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: DLSC - Acceleration: GPUTITAN RTX246810SE +/- 0.00, N = 37.05MIN: 6.55 / MAX: 7.28

LuxCoreRender

Scene: DLSC - Acceleration: GPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.5Scene: DLSC - Acceleration: GPUTITAN RTX0.00740.01480.02220.02960.0370.033

LuxCoreRender

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX15.8215.4234.3OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.5GPU Power Consumption Monitor60120180240300

LuxCoreRender

Scene: Rainbow Colors and Prism - Acceleration: GPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Rainbow Colors and Prism - Acceleration: GPUTITAN RTX48121620SE +/- 0.01, N = 516.82MIN: 15.77 / MAX: 18.21

LuxCoreRender

Scene: Rainbow Colors and Prism - Acceleration: GPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.5Scene: Rainbow Colors and Prism - Acceleration: GPUTITAN RTX0.02340.04680.07020.09360.1170.104

LuxCoreRender

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX15.4161.9223.5OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.5GPU Power Consumption Monitor60120180240300

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: GPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: LuxCore Benchmark - Acceleration: GPUTITAN RTX246810SE +/- 0.00, N = 36.88MIN: 2.2 / MAX: 8.15

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: GPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.5Scene: LuxCore Benchmark - Acceleration: GPUTITAN RTX0.00790.01580.02370.03160.03950.035

LuxCoreRender

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX14.2195.1229.1OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.5GPU Power Consumption Monitor60120180240300

LuxCoreRender

Scene: Orange Juice - Acceleration: GPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Orange Juice - Acceleration: GPUTITAN RTX246810SE +/- 0.02, N = 37.23MIN: 5.72 / MAX: 9.06

LuxCoreRender

Scene: Orange Juice - Acceleration: GPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.5Scene: Orange Juice - Acceleration: GPUTITAN RTX0.00810.01620.02430.03240.04050.036

LuxCoreRender

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX15.1203.0230.6OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.5GPU Power Consumption Monitor60120180240300

LuxCoreRender

Scene: Danish Mood - Acceleration: GPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Danish Mood - Acceleration: GPUTITAN RTX1.19252.3853.57754.775.9625SE +/- 0.05, N = 65.30MIN: 1.66 / MAX: 6.37

LuxCoreRender

Scene: Danish Mood - Acceleration: GPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.5Scene: Danish Mood - Acceleration: GPUTITAN RTX0.00630.01260.01890.02520.03150.028

LuxCoreRender

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX14.3187.5222.4OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.5GPU Power Consumption Monitor60120180240300

ArrayFire

Test: BLAS OpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterArrayFire 3.7Test: BLAS OpenCLTITAN RTX11002200330044005500SE +/- 13.00, N = 45005.051. (CXX) g++ options: -rdynamic

ArrayFire

Test: BLAS OpenCL

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterArrayFire 3.7Test: BLAS OpenCLTITAN RTX61218243024.39

ArrayFire

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX14.2205.2284.9OpenBenchmarking.orgWatts, Fewer Is BetterArrayFire 3.7GPU Power Consumption Monitor70140210280350

ArrayFire

Test: Conjugate Gradient OpenCL

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient OpenCLTITAN RTX0.36830.73661.10491.47321.8415SE +/- 0.004, N = 111.6371. (CXX) g++ options: -rdynamic

ArrayFire

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX14.799.8187.2OpenBenchmarking.orgWatts, Fewer Is BetterArrayFire 3.7GPU Power Consumption Monitor50100150200250

clpeak

OpenCL Test: Global Memory Bandwidth

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthTITAN RTX110220330440550SE +/- 0.03, N = 13530.371. (CXX) g++ options: -O3 -rdynamic -lOpenCL

clpeak

OpenCL Test: Global Memory Bandwidth

OpenBenchmarking.orgGBPS Per Watt, More Is BetterclpeakOpenCL Test: Global Memory BandwidthTITAN RTX2468107.11

clpeak

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX11.374.6223.0OpenBenchmarking.orgWatts, Fewer Is BetterclpeakGPU Power Consumption Monitor60120180240300

clpeak

OpenCL Test: Single-Precision Float

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatTITAN RTX3K6K9K12K15KSE +/- 180.32, N = 1514361.161. (CXX) g++ options: -O3 -rdynamic -lOpenCL

clpeak

OpenCL Test: Single-Precision Float

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterclpeakOpenCL Test: Single-Precision FloatTITAN RTX4080120160200164.27

clpeak

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX11.087.4240.2OpenBenchmarking.orgWatts, Fewer Is BetterclpeakGPU Power Consumption Monitor60120180240300

clpeak

OpenCL Test: Double-Precision Double

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleTITAN RTX120240360480600SE +/- 0.04, N = 3547.231. (CXX) g++ options: -O3 -rdynamic -lOpenCL

clpeak

OpenCL Test: Double-Precision Double

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterclpeakOpenCL Test: Double-Precision DoubleTITAN RTX0.88881.77762.66643.55524.4443.95

clpeak

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX10.8138.5152.3OpenBenchmarking.orgWatts, Fewer Is BetterclpeakGPU Power Consumption Monitor4080120160200

clpeak

OpenCL Test: Integer Compute INT

OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTTITAN RTX3K6K9K12K15KSE +/- 132.02, N = 1513827.291. (CXX) g++ options: -O3 -rdynamic -lOpenCL

clpeak

OpenCL Test: Integer Compute INT

OpenBenchmarking.orgGIOPS Per Watt, More Is BetterclpeakOpenCL Test: Integer Compute INTTITAN RTX306090120150133.32

clpeak

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX11.6103.7285.7OpenBenchmarking.orgWatts, Fewer Is BetterclpeakGPU Power Consumption Monitor70140210280350

vkpeak

fp32-scalar

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp32-scalarTITAN RTX4K8K12K16K20KSE +/- 130.00, N = 317175.29

vkpeak

fp32-vec4

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp32-vec4TITAN RTX4K8K12K16K20KSE +/- 134.80, N = 317203.03

vkpeak

fp16-scalar

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-scalarTITAN RTX4K8K12K16K20KSE +/- 93.03, N = 317182.72

vkpeak

fp16-vec4

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-vec4TITAN RTX7K14K21K28K35KSE +/- 87.22, N = 333537.08

vkpeak

fp64-scalar

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-scalarTITAN RTX120240360480600SE +/- 1.42, N = 3535.94

vkpeak

fp64-vec4

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-vec4TITAN RTX120240360480600SE +/- 1.21, N = 3536.57

vkpeak

int32-scalar

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-scalarTITAN RTX4K8K12K16K20KSE +/- 45.39, N = 317081.01

vkpeak

int32-vec4

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-vec4TITAN RTX4K8K12K16K20KSE +/- 47.86, N = 316983.45

vkpeak

int16-scalar

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-scalarTITAN RTX2K4K6K8K10KSE +/- 29.00, N = 311259.30

vkpeak

int16-vec4

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-vec4TITAN RTX3K6K9K12K15KSE +/- 14.87, N = 314742.21

vkpeak

int16-vec4

OpenBenchmarking.orgGIOPS Per Watt, More Is Bettervkpeak 20210424int16-vec4TITAN RTX153045607569.13

vkpeak

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX11.3213.3285.9OpenBenchmarking.orgWatts, Fewer Is Bettervkpeak 20210424GPU Power Consumption Monitor70140210280350

PlaidML

FP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCL

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLTITAN RTX140280420560700SE +/- 1.07, N = 6653.17

PlaidML

FP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCL

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLTITAN RTX1.13292.26583.39874.53165.66455.035

PlaidML

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX12.6129.7272.6OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLGPU Power Consumption Monitor70140210280350

PlaidML

FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCL

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLTITAN RTX50100150200250SE +/- 0.66, N = 3247.51

PlaidML

FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCL

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLTITAN RTX0.38390.76781.15171.53561.91951.706

PlaidML

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX12.0145.1291.1OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLGPU Power Consumption Monitor70140210280350

PlaidML

FP16: No - Mode: Inference - Network: VGG19 - Device: OpenCL

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLTITAN RTX4080120160200SE +/- 0.58, N = 3196.56

PlaidML

FP16: No - Mode: Inference - Network: VGG19 - Device: OpenCL

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLTITAN RTX0.28190.56380.84571.12761.40951.253

PlaidML

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX12.6156.9313.6OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLGPU Power Consumption Monitor80160240320400

LeelaChessZero

Backend: OpenCL

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: OpenCLTITAN RTX6K12K18K24K30KSE +/- 77.21, N = 3288581. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: OpenCL

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.26Backend: OpenCLTITAN RTX20406080100107.91

LeelaChessZero

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX13.1267.4290.2OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.26GPU Power Consumption Monitor70140210280350

cl-mem

Benchmark: Read

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadTITAN RTX120240360480600SE +/- 0.10, N = 9567.81. (CC) gcc options: -O2 -flto -lOpenCL

cl-mem

Benchmark: Read

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: ReadTITAN RTX1.13832.27663.41494.55325.69155.059

cl-mem

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX15.1112.2197.8OpenBenchmarking.orgWatts, Fewer Is Bettercl-mem 2017-01-13GPU Power Consumption Monitor50100150200250

cl-mem

Benchmark: Write

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteTITAN RTX110220330440550SE +/- 0.76, N = 9495.21. (CC) gcc options: -O2 -flto -lOpenCL

cl-mem

Benchmark: Write

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: WriteTITAN RTX1.02382.04763.07144.09525.1194.55

cl-mem

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX13.1108.8187.1OpenBenchmarking.orgWatts, Fewer Is Bettercl-mem 2017-01-13GPU Power Consumption Monitor50100150200250

cl-mem

Benchmark: Copy

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyTITAN RTX70140210280350SE +/- 0.10, N = 9319.31. (CC) gcc options: -O2 -flto -lOpenCL

cl-mem

Benchmark: Copy

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: CopyTITAN RTX0.67391.34782.02172.69563.36952.995

cl-mem

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX12.6106.6184.6OpenBenchmarking.orgWatts, Fewer Is Bettercl-mem 2017-01-13GPU Power Consumption Monitor50100150200250

ViennaCL

Test: OpenCL BLAS - sCOPY

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sCOPYTITAN RTX70140210280350SE +/- 1.20, N = 33101. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

ViennaCL

Test: OpenCL BLAS - sAXPY

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sAXPYTITAN RTX90180270360450SE +/- 0.33, N = 34021. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

ViennaCL

Test: OpenCL BLAS - dCOPY

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dCOPYTITAN RTX1102203304405504951. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

ViennaCL

Test: OpenCL BLAS - dAXPY

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dAXPYTITAN RTX1202403604806005411. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

ViennaCL

Test: OpenCL BLAS - dDOT

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dDOTTITAN RTX1102203304405505301. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

ViennaCL

Test: OpenCL BLAS - dGEMM-NN

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NNTITAN RTX110220330440550SE +/- 1.20, N = 34951. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

ViennaCL

Test: OpenCL BLAS - dGEMM-NT

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NTTITAN RTX110220330440550SE +/- 1.33, N = 34911. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

ViennaCL

Test: OpenCL BLAS - dGEMM-TN

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TNTITAN RTX100200300400500SE +/- 1.33, N = 34851. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

ViennaCL

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX12.0170.0286.1OpenBenchmarking.orgWatts, Fewer Is BetterViennaCL 1.7.1GPU Power Consumption Monitor70140210280350

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: Texture Read Bandwidth

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Texture Read BandwidthTITAN RTX30060090012001500SE +/- 2.01, N = 31162.961. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: Texture Read Bandwidth

OpenBenchmarking.orgGB/s Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Texture Read BandwidthTITAN RTX2468107.428

SHOC Scalable HeterOgeneous Computing

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX11.5156.6234.2OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17GPU Power Consumption Monitor60120180240300

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: FFT SP

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: FFT SPTITAN RTX30060090012001500SE +/- 0.53, N = 121579.481. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: FFT SP

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: FFT SPTITAN RTX61218243023.45

SHOC Scalable HeterOgeneous Computing

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX11.767.4202.1OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17GPU Power Consumption Monitor50100150200250

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: GEMM SGEMM_N

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: GEMM SGEMM_NTITAN RTX11002200330044005500SE +/- 44.05, N = 155163.491. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: GEMM SGEMM_N

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: GEMM SGEMM_NTITAN RTX122436486053.69

SHOC Scalable HeterOgeneous Computing

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX10.596.2250.9OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17GPU Power Consumption Monitor60120180240300

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: MD5 Hash

OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: MD5 HashTITAN RTX816243240SE +/- 0.04, N = 1436.661. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: MD5 Hash

OpenBenchmarking.orgGHash/s Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: MD5 HashTITAN RTX0.12760.25520.38280.51040.6380.567

SHOC Scalable HeterOgeneous Computing

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX9.864.7287.5OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17GPU Power Consumption Monitor70140210280350

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: S3D

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: S3DTITAN RTX60120180240300SE +/- 0.11, N = 13288.571. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: S3D

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: S3DTITAN RTX2468106.418

SHOC Scalable HeterOgeneous Computing

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX9.945.067.9OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17GPU Power Consumption Monitor20406080100

IndigoBench

Acceleration: OpenCL GPU - Scene: Supercar

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: SupercarTITAN RTX816243240SE +/- 0.05, N = 335.33

IndigoBench

Acceleration: OpenCL GPU - Scene: Supercar

OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: SupercarTITAN RTX0.03850.0770.11550.1540.19250.171

IndigoBench

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX8.6206.7259.3OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4GPU Power Consumption Monitor70140210280350

IndigoBench

Acceleration: OpenCL GPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: BedroomTITAN RTX3691215SE +/- 0.00, N = 311.58

IndigoBench

Acceleration: OpenCL GPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: BedroomTITAN RTX0.01170.02340.03510.04680.05850.052

IndigoBench

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX14.1221.1260.0OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4GPU Power Consumption Monitor70140210280350

Blender

Blend File: BMW27 - Compute: CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: BMW27 - Compute: CUDATITAN RTX816243240SE +/- 0.03, N = 336.78

Blender

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX15.1215.0253.7OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92GPU Power Consumption Monitor70140210280350

Blender

Blend File: BMW27 - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: BMW27 - Compute: NVIDIA OptiXTITAN RTX510152025SE +/- 0.02, N = 318.70

Blender

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX15.7184.8230.1OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92GPU Power Consumption Monitor60120180240300

Blender

Blend File: Classroom - Compute: CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Classroom - Compute: CUDATITAN RTX306090120150SE +/- 0.17, N = 3152.72

Blender

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX14.3217.4231.3OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92GPU Power Consumption Monitor60120180240300

Blender

Blend File: Classroom - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Classroom - Compute: NVIDIA OptiXTITAN RTX1632486480SE +/- 0.09, N = 373.63

Blender

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX15.4215.7233.4OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92GPU Power Consumption Monitor60120180240300

Blender

Blend File: Fishy Cat - Compute: CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Fishy Cat - Compute: CUDATITAN RTX1530456075SE +/- 0.02, N = 369.45

Blender

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX15.3232.4282.6OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92GPU Power Consumption Monitor70140210280350

Blender

Blend File: Fishy Cat - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Fishy Cat - Compute: NVIDIA OptiXTITAN RTX816243240SE +/- 0.05, N = 332.73

Blender

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX15.8212.7261.1OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92GPU Power Consumption Monitor70140210280350

Blender

Blend File: Pabellon Barcelona - Compute: CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Pabellon Barcelona - Compute: CUDATITAN RTX60120180240300SE +/- 0.06, N = 3281.19

Blender

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX15.2233.1271.6OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92GPU Power Consumption Monitor70140210280350

Blender

Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXTITAN RTX20406080100SE +/- 0.04, N = 397.27

Blender

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX15.5214.7238.8OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92GPU Power Consumption Monitor60120180240300

Blender

Blend File: Barbershop - Compute: CUDA

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Barbershop - Compute: CUDATITAN RTX120240360480600SE +/- 0.57, N = 3551.44

Blender

GPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92GPU Power Consumption MonitorTITAN RTX4080120160200Min: 14.83 / Avg: 194.62 / Max: 209.75

Blender

Blend File: Barbershop - Compute: NVIDIA OptiX

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Barbershop - Compute: NVIDIA OptiXTITAN RTX2004006008001000SE +/- 1.64, N = 3906.41

Blender

GPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92GPU Power Consumption MonitorTITAN RTX4080120160200Min: 14.27 / Avg: 194.86 / Max: 204.84

Chaos Group V-RAY

Mode: NVIDIA CUDA GPU

OpenBenchmarking.orgvpaths, More Is BetterChaos Group V-RAY 5Mode: NVIDIA CUDA GPUTITAN RTX20040060080010001005

Chaos Group V-RAY

Mode: NVIDIA CUDA GPU

OpenBenchmarking.orgvpaths Per Watt, More Is BetterChaos Group V-RAY 5Mode: NVIDIA CUDA GPUTITAN RTX1.24972.49943.74914.99886.24855.554

Chaos Group V-RAY

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX13.6180.9239.7OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 5GPU Power Consumption Monitor60120180240300

Chaos Group V-RAY

Mode: NVIDIA RTX GPU

OpenBenchmarking.orgvrays, More Is BetterChaos Group V-RAY 5Mode: NVIDIA RTX GPUTITAN RTX30060090012001500SE +/- 0.67, N = 31388

Chaos Group V-RAY

Mode: NVIDIA RTX GPU

OpenBenchmarking.orgvrays Per Watt, More Is BetterChaos Group V-RAY 5Mode: NVIDIA RTX GPUTITAN RTX2468108.067

Chaos Group V-RAY

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX13.6172.1219.3OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 5GPU Power Consumption Monitor60120180240300

VkResample

Upscale: 2x - Precision: Single

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleTITAN RTX3691215SE +/- 0.02, N = 513.571. (CXX) g++ options: -O3 -pthread

VkResample

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX11.356.9277.0OpenBenchmarking.orgWatts, Fewer Is BetterVkResample 1.0GPU Power Consumption Monitor70140210280350

RealSR-NCNN

Scale: 4x - TAA: Yes

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesTITAN RTX1020304050SE +/- 0.18, N = 341.90

RealSR-NCNN

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX11.2247.9289.9OpenBenchmarking.orgWatts, Fewer Is BetterRealSR-NCNN 20200818GPU Power Consumption Monitor70140210280350

RealSR-NCNN

Scale: 4x - TAA: No

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoTITAN RTX246810SE +/- 0.018, N = 67.347

RealSR-NCNN

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX14.6149.9294.0OpenBenchmarking.orgWatts, Fewer Is BetterRealSR-NCNN 20200818GPU Power Consumption Monitor70140210280350

Waifu2x-NCNN Vulkan

Scale: 2x - Denoise: 3 - TAA: Yes

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesTITAN RTX0.86721.73442.60163.46884.336SE +/- 0.005, N = 83.854

Waifu2x-NCNN Vulkan

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX12.8130.0271.4OpenBenchmarking.orgWatts, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818GPU Power Consumption Monitor70140210280350

Betsy GPU Compressor

Codec: ETC1 - Quality: Highest

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC1 - Quality: HighestTITAN RTX0.83321.66642.49963.33284.166SE +/- 0.009, N = 93.7031. (CXX) g++ options: -O3 -O2 -lpthread -ldl

Betsy GPU Compressor

GPU Power Consumption Monitor

MinAvgMaxTITAN RTX12.3118.2285.6OpenBenchmarking.orgWatts, Fewer Is BetterBetsy GPU Compressor 1.1 BetaGPU Power Consumption Monitor70140210280350

ViennaCL

Test: OpenCL BLAS - sDOT

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sDOTTITAN RTX701402102803503161. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

ViennaCL

Test: OpenCL BLAS - dGEMV-N

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-NTITAN RTX100200300400500SE +/- 0.33, N = 34611. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

ViennaCL

Test: OpenCL BLAS - dGEMV-T

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-TTITAN RTX80160240320400SE +/- 0.33, N = 33711. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

ViennaCL

Test: OpenCL BLAS - dGEMM-TT

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TTTITAN RTX1102203304405504931. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

ViennaCL

Test: OpenCL BLAS - dGEMM-TT

OpenBenchmarking.orgGFLOPs/s Per Watt, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TTTITAN RTX0.65271.30541.95812.61083.26352.901


Phoronix Test Suite v10.8.4