Benchmarks for a future article.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2106127-IB-3080C630035 NVIDIA GPU Compute Benchmarks - Phoronix Test Suite NVIDIA GPU Compute Benchmarks Benchmarks for a future article.
HTML result view exported from: https://openbenchmarking.org/result/2106127-IB-3080C630035&export=txt&grr .
NVIDIA GPU Compute Benchmarks Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL OpenCL Vulkan Compiler File-System Screen Resolution RTX 3080 RBAR 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 GeForce RTX 3080 10GB NVIDIA GA102 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: 8704 - 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 Benchmarks blender: Barbershop - CUDA blender: Barbershop - NVIDIA OptiX lczero: OpenCL redshift: vkpeak: int16-vec4 vkpeak: int16-scalar vkpeak: int32-vec4 vkpeak: int32-scalar vkpeak: fp64-vec4 vkpeak: fp64-scalar vkpeak: fp16-vec4 vkpeak: fp16-scalar vkpeak: fp32-vec4 vkpeak: fp32-scalar blender: Pabellon Barcelona - CUDA octanebench: Total Score fahbench: v-ray: NVIDIA CUDA GPU v-ray: NVIDIA RTX GPU luxcorerender: Orange Juice - GPU luxcorerender: Danish Mood - GPU luxcorerender: LuxCore Benchmark - GPU indigobench: OpenCL GPU - Bedroom luxcorerender: DLSC - GPU indigobench: OpenCL GPU - Supercar blender: Classroom - CUDA blender: Pabellon Barcelona - NVIDIA OptiX blender: Fishy Cat - CUDA clpeak: Double-Precision Double blender: Classroom - NVIDIA OptiX realsr-ncnn: 4x - Yes blender: Fishy Cat - NVIDIA OptiX blender: BMW27 - CUDA viennacl: OpenCL BLAS - dGEMM-TT viennacl: OpenCL BLAS - dGEMV-T viennacl: OpenCL BLAS - dGEMV-N viennacl: OpenCL BLAS - sDOT viennacl: OpenCL BLAS - dGEMM-TN viennacl: OpenCL BLAS - dGEMM-NT viennacl: OpenCL BLAS - dGEMM-NN viennacl: OpenCL BLAS - dDOT viennacl: OpenCL BLAS - dAXPY viennacl: OpenCL BLAS - dCOPY viennacl: OpenCL BLAS - sAXPY viennacl: OpenCL BLAS - sCOPY shoc: OpenCL - Texture Read Bandwidth plaidml: No - Inference - VGG19 - OpenCL plaidml: No - Inference - VGG16 - OpenCL arrayfire: BLAS OpenCL blender: BMW27 - NVIDIA OptiX vkresample: 2x - Single namd-cuda: ATPase Simulation - 327,506 Atoms luxcorerender: Rainbow Colors and Prism - GPU plaidml: No - Inference - ResNet 50 - OpenCL clpeak: Integer Compute INT realsr-ncnn: 4x - No hashcat: SHA-512 hashcat: SHA1 hashcat: MD5 betsy: ETC2 RGB - Highest hashcat: TrueCrypt RIPEMD160 + XTS waifu2x-ncnn: 2x - 3 - Yes betsy: ETC1 - Highest cl-mem: Read cl-mem: Write cl-mem: Copy arrayfire: Conjugate Gradient OpenCL hashcat: 7-Zip mixbench: NVIDIA CUDA - Single Precision mixbench: NVIDIA CUDA - Integer mixbench: NVIDIA CUDA - Double Precision shoc: OpenCL - GEMM SGEMM_N mixbench: NVIDIA CUDA - Half Precision clpeak: Global Memory Bandwidth shoc: OpenCL - FFT SP shoc: OpenCL - S3D clpeak: Single-Precision Float shoc: OpenCL - MD5 Hash RTX 3080 RBAR 445.39 408.75 37359 165 14506.52 11282.67 17007.03 17069.59 536.05 534.10 34257.55 17075.80 22762.96 17141.92 147.02 567.026556 321.0546 1773 2379 10.87 8.03 9.98 17.472 11.62 46.144 61.22 53.33 41.69 540.44 36.41 32.570 22.98 22.11 496 374 240 363 494 498 496 596 627 552 477 354 2205.99 223.01 280.78 7394.20 11.36 11.304 0.12157 28.49 727.41 15383.91 6.115 2753700000 19164533333 58598366667 4.528 720167 3.386 3.344 670.3 634.5 353.4 1.563 995733 29095.86 13924.20 417.98 6243.80 31706.66 659.40 1914.11 337.643 29422.68 37.2172 OpenBenchmarking.org
Blender Blend File: Barbershop - Compute: CUDA OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.92 Blend File: Barbershop - Compute: CUDA RTX 3080 RBAR 100 200 300 400 500 SE +/- 0.22, N = 3 445.39
Blender Blend File: Barbershop - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.92 Blend File: Barbershop - Compute: NVIDIA OptiX RTX 3080 RBAR 90 180 270 360 450 SE +/- 0.62, N = 3 408.75
LeelaChessZero Backend: OpenCL OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: OpenCL RTX 3080 RBAR 8K 16K 24K 32K 40K SE +/- 129.19, N = 3 37359 1. (CXX) g++ options: -flto -pthread
RedShift Demo OpenBenchmarking.org Seconds, Fewer Is Better RedShift Demo 3.0 RTX 3080 RBAR 40 80 120 160 200 SE +/- 0.67, N = 3 165
vkpeak int16-vec4 OpenBenchmarking.org GIOPS, More Is Better vkpeak 20210424 int16-vec4 RTX 3080 RBAR 3K 6K 9K 12K 15K SE +/- 19.69, N = 3 14506.52
vkpeak int16-scalar OpenBenchmarking.org GIOPS, More Is Better vkpeak 20210424 int16-scalar RTX 3080 RBAR 2K 4K 6K 8K 10K SE +/- 0.12, N = 3 11282.67
vkpeak int32-vec4 OpenBenchmarking.org GIOPS, More Is Better vkpeak 20210424 int32-vec4 RTX 3080 RBAR 4K 8K 12K 16K 20K SE +/- 2.37, N = 3 17007.03
vkpeak int32-scalar OpenBenchmarking.org GIOPS, More Is Better vkpeak 20210424 int32-scalar RTX 3080 RBAR 4K 8K 12K 16K 20K SE +/- 3.48, N = 3 17069.59
vkpeak fp64-vec4 OpenBenchmarking.org GFLOPS, More Is Better vkpeak 20210424 fp64-vec4 RTX 3080 RBAR 120 240 360 480 600 SE +/- 0.35, N = 3 536.05
vkpeak fp64-scalar OpenBenchmarking.org GFLOPS, More Is Better vkpeak 20210424 fp64-scalar RTX 3080 RBAR 120 240 360 480 600 SE +/- 1.41, N = 3 534.10
vkpeak fp16-vec4 OpenBenchmarking.org GFLOPS, More Is Better vkpeak 20210424 fp16-vec4 RTX 3080 RBAR 7K 14K 21K 28K 35K SE +/- 84.67, N = 3 34257.55
vkpeak fp16-scalar OpenBenchmarking.org GFLOPS, More Is Better vkpeak 20210424 fp16-scalar RTX 3080 RBAR 4K 8K 12K 16K 20K SE +/- 42.62, N = 3 17075.80
vkpeak fp32-vec4 OpenBenchmarking.org GFLOPS, More Is Better vkpeak 20210424 fp32-vec4 RTX 3080 RBAR 5K 10K 15K 20K 25K SE +/- 39.23, N = 3 22762.96
vkpeak fp32-scalar OpenBenchmarking.org GFLOPS, More Is Better vkpeak 20210424 fp32-scalar RTX 3080 RBAR 4K 8K 12K 16K 20K SE +/- 42.89, N = 3 17141.92
Blender Blend File: Pabellon Barcelona - Compute: CUDA OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.92 Blend File: Pabellon Barcelona - Compute: CUDA RTX 3080 RBAR 30 60 90 120 150 SE +/- 0.06, N = 3 147.02
OctaneBench Total Score OpenBenchmarking.org Score, More Is Better OctaneBench 2020.1 Total Score RTX 3080 RBAR 120 240 360 480 600 567.03
FAHBench OpenBenchmarking.org Ns Per Day, More Is Better FAHBench 2.3.2 RTX 3080 RBAR 70 140 210 280 350 SE +/- 0.67, N = 3 321.05
Chaos Group V-RAY Mode: NVIDIA CUDA GPU OpenBenchmarking.org vpaths, More Is Better Chaos Group V-RAY 5 Mode: NVIDIA CUDA GPU RTX 3080 RBAR 400 800 1200 1600 2000 SE +/- 0.33, N = 3 1773
Chaos Group V-RAY Mode: NVIDIA RTX GPU OpenBenchmarking.org vrays, More Is Better Chaos Group V-RAY 5 Mode: NVIDIA RTX GPU RTX 3080 RBAR 500 1000 1500 2000 2500 SE +/- 2.73, N = 3 2379
LuxCoreRender Scene: Orange Juice - Acceleration: GPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.5 Scene: Orange Juice - Acceleration: GPU RTX 3080 RBAR 3 6 9 12 15 SE +/- 0.01, N = 3 10.87 MIN: 8.73 / MAX: 14.44
LuxCoreRender Scene: Danish Mood - Acceleration: GPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.5 Scene: Danish Mood - Acceleration: GPU RTX 3080 RBAR 2 4 6 8 10 SE +/- 0.06, N = 3 8.03 MIN: 2.38 / MAX: 9.73
LuxCoreRender Scene: LuxCore Benchmark - Acceleration: GPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.5 Scene: LuxCore Benchmark - Acceleration: GPU RTX 3080 RBAR 3 6 9 12 15 SE +/- 0.01, N = 3 9.98 MIN: 3.02 / MAX: 11.81
IndigoBench Acceleration: OpenCL GPU - Scene: Bedroom OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: OpenCL GPU - Scene: Bedroom RTX 3080 RBAR 4 8 12 16 20 SE +/- 0.01, N = 3 17.47
LuxCoreRender Scene: DLSC - Acceleration: GPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.5 Scene: DLSC - Acceleration: GPU RTX 3080 RBAR 3 6 9 12 15 SE +/- 0.01, N = 3 11.62 MIN: 11.21 / MAX: 11.85
IndigoBench Acceleration: OpenCL GPU - Scene: Supercar OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: OpenCL GPU - Scene: Supercar RTX 3080 RBAR 10 20 30 40 50 SE +/- 0.04, N = 3 46.14
Blender Blend File: Classroom - Compute: CUDA OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.92 Blend File: Classroom - Compute: CUDA RTX 3080 RBAR 14 28 42 56 70 SE +/- 0.08, N = 3 61.22
Blender Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.92 Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX RTX 3080 RBAR 12 24 36 48 60 SE +/- 0.17, N = 3 53.33
Blender Blend File: Fishy Cat - Compute: CUDA OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.92 Blend File: Fishy Cat - Compute: CUDA RTX 3080 RBAR 10 20 30 40 50 SE +/- 0.01, N = 3 41.69
clpeak OpenCL Test: Double-Precision Double OpenBenchmarking.org GFLOPS, More Is Better clpeak OpenCL Test: Double-Precision Double RTX 3080 RBAR 120 240 360 480 600 SE +/- 0.39, N = 3 540.44 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL
Blender Blend File: Classroom - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.92 Blend File: Classroom - Compute: NVIDIA OptiX RTX 3080 RBAR 8 16 24 32 40 SE +/- 0.03, N = 3 36.41
RealSR-NCNN Scale: 4x - TAA: Yes OpenBenchmarking.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: Yes RTX 3080 RBAR 8 16 24 32 40 SE +/- 0.07, N = 3 32.57
Blender Blend File: Fishy Cat - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.92 Blend File: Fishy Cat - Compute: NVIDIA OptiX RTX 3080 RBAR 6 12 18 24 30 SE +/- 0.02, N = 3 22.98
Blender Blend File: BMW27 - Compute: CUDA OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.92 Blend File: BMW27 - Compute: CUDA RTX 3080 RBAR 5 10 15 20 25 SE +/- 0.03, N = 3 22.11
ViennaCL Test: OpenCL BLAS - dGEMM-TT OpenBenchmarking.org GFLOPs/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - dGEMM-TT RTX 3080 RBAR 110 220 330 440 550 496 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 RTX 3080 RBAR 80 160 240 320 400 SE +/- 0.33, N = 3 374 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 RTX 3080 RBAR 50 100 150 200 250 SE +/- 0.33, N = 3 240 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: OpenCL BLAS - sDOT OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - sDOT RTX 3080 RBAR 80 160 240 320 400 SE +/- 0.33, N = 3 363 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 RTX 3080 RBAR 110 220 330 440 550 SE +/- 1.00, N = 3 494 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 RTX 3080 RBAR 110 220 330 440 550 SE +/- 1.20, N = 3 498 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 RTX 3080 RBAR 110 220 330 440 550 SE +/- 1.33, N = 3 496 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 RTX 3080 RBAR 130 260 390 520 650 596 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 RTX 3080 RBAR 140 280 420 560 700 627 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 RTX 3080 RBAR 120 240 360 480 600 SE +/- 0.33, N = 3 552 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 RTX 3080 RBAR 100 200 300 400 500 SE +/- 0.33, N = 3 477 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: OpenCL BLAS - sCOPY OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: OpenCL BLAS - sCOPY RTX 3080 RBAR 80 160 240 320 400 SE +/- 0.67, N = 3 354 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
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 RTX 3080 RBAR 500 1000 1500 2000 2500 SE +/- 3.47, N = 3 2205.99 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
PlaidML FP16: No - Mode: Inference - Network: VGG19 - Device: OpenCL OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG19 - Device: OpenCL RTX 3080 RBAR 50 100 150 200 250 SE +/- 0.43, N = 3 223.01
PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCL OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCL RTX 3080 RBAR 60 120 180 240 300 SE +/- 0.65, N = 3 280.78
ArrayFire Test: BLAS OpenCL OpenBenchmarking.org GFLOPS, More Is Better ArrayFire 3.7 Test: BLAS OpenCL RTX 3080 RBAR 1600 3200 4800 6400 8000 SE +/- 3.09, N = 3 7394.20 1. (CXX) g++ options: -rdynamic
Blender Blend File: BMW27 - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.92 Blend File: BMW27 - Compute: NVIDIA OptiX RTX 3080 RBAR 3 6 9 12 15 SE +/- 0.03, N = 3 11.36
VkResample Upscale: 2x - Precision: Single OpenBenchmarking.org ms, Fewer Is Better VkResample 1.0 Upscale: 2x - Precision: Single RTX 3080 RBAR 3 6 9 12 15 SE +/- 0.01, N = 3 11.30 1. (CXX) g++ options: -O3 -pthread
NAMD CUDA ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD CUDA 2.14 ATPase Simulation - 327,506 Atoms RTX 3080 RBAR 0.0274 0.0548 0.0822 0.1096 0.137 SE +/- 0.00003, N = 3 0.12157
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 RTX 3080 RBAR 7 14 21 28 35 SE +/- 0.06, N = 3 28.49 MIN: 26.83 / MAX: 31.13
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 RTX 3080 RBAR 160 320 480 640 800 SE +/- 1.15, N = 3 727.41
clpeak OpenCL Test: Integer Compute INT OpenBenchmarking.org GIOPS, More Is Better clpeak OpenCL Test: Integer Compute INT RTX 3080 RBAR 3K 6K 9K 12K 15K SE +/- 105.69, N = 15 15383.91 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL
RealSR-NCNN Scale: 4x - TAA: No OpenBenchmarking.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: No RTX 3080 RBAR 2 4 6 8 10 SE +/- 0.009, N = 3 6.115
Hashcat Benchmark: SHA-512 OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: SHA-512 RTX 3080 RBAR 600M 1200M 1800M 2400M 3000M SE +/- 2042057.79, N = 3 2753700000
Hashcat Benchmark: SHA1 OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: SHA1 RTX 3080 RBAR 4000M 8000M 12000M 16000M 20000M SE +/- 22857116.57, N = 3 19164533333
Hashcat Benchmark: MD5 OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: MD5 RTX 3080 RBAR 13000M 26000M 39000M 52000M 65000M SE +/- 81551462.96, N = 3 58598366667
Betsy GPU Compressor Codec: ETC2 RGB - Quality: Highest OpenBenchmarking.org Seconds, Fewer Is Better Betsy GPU Compressor 1.1 Beta Codec: ETC2 RGB - Quality: Highest RTX 3080 RBAR 1.0188 2.0376 3.0564 4.0752 5.094 SE +/- 0.049, N = 3 4.528 1. (CXX) g++ options: -O3 -O2 -lpthread -ldl
Hashcat Benchmark: TrueCrypt RIPEMD160 + XTS OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: TrueCrypt RIPEMD160 + XTS RTX 3080 RBAR 150K 300K 450K 600K 750K SE +/- 1322.04, N = 3 720167
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 RTX 3080 RBAR 0.7619 1.5238 2.2857 3.0476 3.8095 SE +/- 0.006, N = 3 3.386
Betsy GPU Compressor Codec: ETC1 - Quality: Highest OpenBenchmarking.org Seconds, Fewer Is Better Betsy GPU Compressor 1.1 Beta Codec: ETC1 - Quality: Highest RTX 3080 RBAR 0.7524 1.5048 2.2572 3.0096 3.762 SE +/- 0.015, N = 3 3.344 1. (CXX) g++ options: -O3 -O2 -lpthread -ldl
cl-mem Benchmark: Read OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Read RTX 3080 RBAR 140 280 420 560 700 SE +/- 0.82, N = 3 670.3 1. (CC) gcc options: -O2 -flto -lOpenCL
cl-mem Benchmark: Write OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Write RTX 3080 RBAR 140 280 420 560 700 SE +/- 0.68, N = 3 634.5 1. (CC) gcc options: -O2 -flto -lOpenCL
cl-mem Benchmark: Copy OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Copy RTX 3080 RBAR 80 160 240 320 400 SE +/- 0.12, N = 3 353.4 1. (CC) gcc options: -O2 -flto -lOpenCL
ArrayFire Test: Conjugate Gradient OpenCL OpenBenchmarking.org ms, Fewer Is Better ArrayFire 3.7 Test: Conjugate Gradient OpenCL RTX 3080 RBAR 0.3517 0.7034 1.0551 1.4068 1.7585 SE +/- 0.003, N = 3 1.563 1. (CXX) g++ options: -rdynamic
Hashcat Benchmark: 7-Zip OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: 7-Zip RTX 3080 RBAR 200K 400K 600K 800K 1000K SE +/- 2771.48, N = 3 995733
Mixbench Backend: NVIDIA CUDA - Benchmark: Single Precision OpenBenchmarking.org GFLOPS, More Is Better Mixbench 2020-06-23 Backend: NVIDIA CUDA - Benchmark: Single Precision RTX 3080 RBAR 6K 12K 18K 24K 30K SE +/- 555.26, N = 15 29095.86 1. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2
Mixbench Backend: NVIDIA CUDA - Benchmark: Integer OpenBenchmarking.org GIOPS, More Is Better Mixbench 2020-06-23 Backend: NVIDIA CUDA - Benchmark: Integer RTX 3080 RBAR 3K 6K 9K 12K 15K SE +/- 258.54, N = 15 13924.20 1. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2
Mixbench Backend: NVIDIA CUDA - Benchmark: Double Precision OpenBenchmarking.org GFLOPS, More Is Better Mixbench 2020-06-23 Backend: NVIDIA CUDA - Benchmark: Double Precision RTX 3080 RBAR 90 180 270 360 450 SE +/- 7.75, N = 15 417.98 1. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2
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 RTX 3080 RBAR 1300 2600 3900 5200 6500 SE +/- 27.64, N = 3 6243.80 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
Mixbench Backend: NVIDIA CUDA - Benchmark: Half Precision OpenBenchmarking.org GFLOPS, More Is Better Mixbench 2020-06-23 Backend: NVIDIA CUDA - Benchmark: Half Precision RTX 3080 RBAR 7K 14K 21K 28K 35K SE +/- 650.08, N = 12 31706.66 1. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2
clpeak OpenCL Test: Global Memory Bandwidth OpenBenchmarking.org GBPS, More Is Better clpeak OpenCL Test: Global Memory Bandwidth RTX 3080 RBAR 140 280 420 560 700 SE +/- 2.74, N = 3 659.40 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL
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 RTX 3080 RBAR 400 800 1200 1600 2000 SE +/- 3.10, N = 3 1914.11 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, More Is Better SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: S3D RTX 3080 RBAR 70 140 210 280 350 SE +/- 0.27, N = 3 337.64 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
clpeak OpenCL Test: Single-Precision Float OpenBenchmarking.org GFLOPS, More Is Better clpeak OpenCL Test: Single-Precision Float RTX 3080 RBAR 6K 12K 18K 24K 30K SE +/- 169.65, N = 3 29422.68 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL
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 RTX 3080 RBAR 9 18 27 36 45 SE +/- 0.00, N = 3 37.22 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
Phoronix Test Suite v10.8.4