Ubuntu Linux with NVIDIA GeForce RTX 3060 Ti AMD Ryzen 9 5950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS) and NVIDIA GeForce RTX 3060 Ti 8GB on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2012016-HA-UBUNTULIN00 .
Ubuntu Linux with NVIDIA GeForce RTX 3060 Ti 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 3060 Ti AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads) ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS) AMD Starship/Matisse 16GB 2000GB Corsair Force MP600 + 2000GB NVIDIA GeForce RTX 3060 Ti 8GB (360/405MHz) NVIDIA Device 228b ASUS MG28U Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200 Ubuntu 20.04 5.4.0-54-generic (x86_64) GNOME Shell 3.36.4 X Server 1.20.8 NVIDIA 455.45.01 4.6.0 OpenCL 1.2 CUDA 11.1.114 1.2.142 GCC 9.3.0 ext4 3840x2160 OpenBenchmarking.org - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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-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 - CPU Microcode: 0xa201009 - GPU Compute Cores: 4864 - Python 2.7.18 + Python 3.8.5 - 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
Ubuntu Linux with NVIDIA GeForce RTX 3060 Ti realsr-ncnn: 4x - No realsr-ncnn: 4x - Yes waifu2x-ncnn: 2x - 3 - Yes vkfft: hashcat: MD5 hashcat: SHA1 hashcat: 7-Zip hashcat: SHA-512 hashcat: TrueCrypt RIPEMD160 + XTS financebench: Black-Scholes OpenCL viennacl: OpenCL LU Factorization cl-mem: Copy cl-mem: Read cl-mem: Write octanebench: Total Score redshift: luxcorerender-cl: DLSC luxcorerender-cl: Food luxcorerender-cl: LuxCore Benchmark luxcorerender-cl: Rainbow Colors and Prism fahbench: lczero: OpenCL rodinia: OpenCL Particle Filter arrayfire: Conjugate Gradient OpenCL ncnn: Vulkan GPU - squeezenet ncnn: Vulkan GPU - mobilenet ncnn: Vulkan GPU-v2-v2 - mobilenet-v2 ncnn: Vulkan GPU-v3-v3 - mobilenet-v3 ncnn: Vulkan GPU - shufflenet-v2 ncnn: Vulkan GPU - mnasnet ncnn: Vulkan GPU - efficientnet-b0 ncnn: Vulkan GPU - blazeface ncnn: Vulkan GPU - googlenet ncnn: Vulkan GPU - vgg16 ncnn: Vulkan GPU - resnet18 ncnn: Vulkan GPU - alexnet ncnn: Vulkan GPU - resnet50 ncnn: Vulkan GPU - yolov4-tiny plaidml: No - Inference - IMDB LSTM - OpenCL plaidml: No - Inference - Mobilenet - OpenCL plaidml: Yes - Inference - Mobilenet - OpenCL plaidml: No - Inference - DenseNet 201 - OpenCL blender: BMW27 - CUDA blender: Classroom - CUDA blender: Fishy Cat - CUDA blender: Barbershop - CUDA blender: BMW27 - NVIDIA OptiX blender: Classroom - NVIDIA OptiX blender: Fishy Cat - NVIDIA OptiX blender: Barbershop - NVIDIA OptiX blender: Pabellon Barcelona - CUDA blender: Pabellon Barcelona - NVIDIA OptiX mandelgpu: GPU clpeak: Integer Compute INT clpeak: Single-Precision Float clpeak: Double-Precision Double clpeak: Global Memory Bandwidth RTX 3060 Ti 8.518 52.222 4.192 32062 32848000000 11070033333 587800 1409533333 431400 8.345 76.3580 296.8 392.8 383.3 381.663956 240 7.27 2.82 5.94 17.50 234.9089 23080 6.939 2.100 3.7 3.87 1.53 1.76 1.33 1.66 2.78 0.61 3.45 5.59 1.42 1.59 3.47 6.16 687.93 1888.62 2434.78 177.76 267.23 266.99 865.82 451.91 18.10 57.00 37.21 571.40 915.72 86.25 282426080.8 8356.99 15987.93 302.46 389.16 OpenBenchmarking.org
RealSR-NCNN Scale: 4x - TAA: No OpenBenchmarking.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: No RTX 3060 Ti 2 4 6 8 10 SE +/- 0.030, N = 3 8.518
RealSR-NCNN Scale: 4x - TAA: Yes OpenBenchmarking.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: Yes RTX 3060 Ti 12 24 36 48 60 SE +/- 0.11, N = 3 52.22
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 3060 Ti 0.9432 1.8864 2.8296 3.7728 4.716 SE +/- 0.009, N = 3 4.192
VkFFT OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 2020-09-29 RTX 3060 Ti 7K 14K 21K 28K 35K SE +/- 29.45, N = 3 32062
Hashcat Benchmark: MD5 OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: MD5 RTX 3060 Ti 7000M 14000M 21000M 28000M 35000M SE +/- 28781996.69, N = 3 32848000000
Hashcat Benchmark: SHA1 OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: SHA1 RTX 3060 Ti 2000M 4000M 6000M 8000M 10000M SE +/- 6468985.84, N = 3 11070033333
Hashcat Benchmark: 7-Zip OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: 7-Zip RTX 3060 Ti 130K 260K 390K 520K 650K SE +/- 173.21, N = 3 587800
Hashcat Benchmark: SHA-512 OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: SHA-512 RTX 3060 Ti 300M 600M 900M 1200M 1500M SE +/- 1091380.37, N = 3 1409533333
Hashcat Benchmark: TrueCrypt RIPEMD160 + XTS OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: TrueCrypt RIPEMD160 + XTS RTX 3060 Ti 90K 180K 270K 360K 450K SE +/- 5478.23, N = 5 431400
FinanceBench Benchmark: Black-Scholes OpenCL OpenBenchmarking.org ms, Fewer Is Better FinanceBench 2016-06-06 Benchmark: Black-Scholes OpenCL RTX 3060 Ti 2 4 6 8 10 SE +/- 0.003, N = 3 8.345 1. (CXX) g++ options: -O3 -lOpenCL
ViennaCL OpenCL LU Factorization OpenBenchmarking.org GFLOPS, More Is Better ViennaCL 1.4.2 OpenCL LU Factorization RTX 3060 Ti 20 40 60 80 100 SE +/- 0.21, N = 3 76.36 1. (CXX) g++ options: -rdynamic -lOpenCL
cl-mem Benchmark: Copy OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Copy RTX 3060 Ti 60 120 180 240 300 SE +/- 0.43, N = 3 296.8 1. (CC) gcc options: -O2 -flto -lOpenCL
cl-mem Benchmark: Read OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Read RTX 3060 Ti 90 180 270 360 450 SE +/- 0.44, N = 3 392.8 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 3060 Ti 80 160 240 320 400 SE +/- 0.15, N = 3 383.3 1. (CC) gcc options: -O2 -flto -lOpenCL
OctaneBench Total Score OpenBenchmarking.org Score, More Is Better OctaneBench 2020.1 Total Score RTX 3060 Ti 80 160 240 320 400 381.66
RedShift Demo OpenBenchmarking.org Seconds, Fewer Is Better RedShift Demo 3.0 RTX 3060 Ti 50 100 150 200 250 SE +/- 0.33, N = 3 240
LuxCoreRender OpenCL Scene: DLSC OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender OpenCL 2.3 Scene: DLSC RTX 3060 Ti 2 4 6 8 10 SE +/- 0.01, N = 3 7.27 MIN: 6.93 / MAX: 7.5
LuxCoreRender OpenCL Scene: Food OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender OpenCL 2.3 Scene: Food RTX 3060 Ti 0.6345 1.269 1.9035 2.538 3.1725 SE +/- 0.02, N = 3 2.82 MIN: 0.26 / MAX: 3.51
LuxCoreRender OpenCL Scene: LuxCore Benchmark OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender OpenCL 2.3 Scene: LuxCore Benchmark RTX 3060 Ti 1.3365 2.673 4.0095 5.346 6.6825 SE +/- 0.00, N = 3 5.94 MIN: 0.28 / MAX: 6.76
LuxCoreRender OpenCL Scene: Rainbow Colors and Prism OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender OpenCL 2.3 Scene: Rainbow Colors and Prism RTX 3060 Ti 4 8 12 16 20 SE +/- 0.07, N = 3 17.50 MIN: 16.26 / MAX: 18.24
FAHBench OpenBenchmarking.org Ns Per Day, More Is Better FAHBench 2.3.2 RTX 3060 Ti 50 100 150 200 250 SE +/- 0.31, N = 3 234.91
LeelaChessZero Backend: OpenCL OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: OpenCL RTX 3060 Ti 5K 10K 15K 20K 25K SE +/- 94.69, N = 3 23080 1. (CXX) g++ options: -flto -pthread
Rodinia Test: OpenCL Particle Filter OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenCL Particle Filter RTX 3060 Ti 2 4 6 8 10 SE +/- 0.006, N = 3 6.939 1. (CXX) g++ options: -O2 -lOpenCL
ArrayFire Test: Conjugate Gradient OpenCL OpenBenchmarking.org ms, Fewer Is Better ArrayFire 3.7 Test: Conjugate Gradient OpenCL RTX 3060 Ti 0.4725 0.945 1.4175 1.89 2.3625 SE +/- 0.003, N = 3 2.100 1. (CXX) g++ options: -rdynamic
NCNN Target: Vulkan GPU - Model: squeezenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: squeezenet RTX 3060 Ti 0.8325 1.665 2.4975 3.33 4.1625 SE +/- 0.00, N = 3 3.7 MIN: 3.58 / MAX: 4.19 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: mobilenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mobilenet RTX 3060 Ti 0.8708 1.7416 2.6124 3.4832 4.354 SE +/- 0.01, N = 3 3.87 MIN: 3.75 / MAX: 4.55 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 RTX 3060 Ti 0.3443 0.6886 1.0329 1.3772 1.7215 SE +/- 0.00, N = 3 1.53 MIN: 1.51 / MAX: 2.79 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 RTX 3060 Ti 0.396 0.792 1.188 1.584 1.98 SE +/- 0.01, N = 3 1.76 MIN: 1.74 / MAX: 3.04 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: shufflenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 RTX 3060 Ti 0.2993 0.5986 0.8979 1.1972 1.4965 SE +/- 0.00, N = 3 1.33 MIN: 1.3 / MAX: 1.96 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: mnasnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mnasnet RTX 3060 Ti 0.3735 0.747 1.1205 1.494 1.8675 SE +/- 0.00, N = 3 1.66 MIN: 1.61 / MAX: 2.31 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: efficientnet-b0 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 RTX 3060 Ti 0.6255 1.251 1.8765 2.502 3.1275 SE +/- 0.01, N = 3 2.78 MIN: 2.73 / MAX: 5.1 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: blazeface OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: blazeface RTX 3060 Ti 0.1373 0.2746 0.4119 0.5492 0.6865 SE +/- 0.01, N = 3 0.61 MIN: 0.58 / MAX: 4.48 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: googlenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: googlenet RTX 3060 Ti 0.7763 1.5526 2.3289 3.1052 3.8815 SE +/- 0.00, N = 3 3.45 MIN: 3.42 / MAX: 3.96 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: vgg16 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: vgg16 RTX 3060 Ti 1.2578 2.5156 3.7734 5.0312 6.289 SE +/- 0.01, N = 3 5.59 MIN: 5.51 / MAX: 15.28 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: resnet18 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet18 RTX 3060 Ti 0.3195 0.639 0.9585 1.278 1.5975 SE +/- 0.03, N = 3 1.42 MIN: 1.37 / MAX: 10.97 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: alexnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: alexnet RTX 3060 Ti 0.3578 0.7156 1.0734 1.4312 1.789 SE +/- 0.00, N = 3 1.59 MIN: 1.56 / MAX: 1.98 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: resnet50 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet50 RTX 3060 Ti 0.7808 1.5616 2.3424 3.1232 3.904 SE +/- 0.01, N = 2 3.47 MIN: 3.43 / MAX: 4.26 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: yolov4-tiny OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny RTX 3060 Ti 2 4 6 8 10 SE +/- 0.01, N = 3 6.16 MIN: 5.98 / MAX: 6.81 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
PlaidML FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL RTX 3060 Ti 150 300 450 600 750 SE +/- 1.52, N = 3 687.93
PlaidML FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL RTX 3060 Ti 400 800 1200 1600 2000 SE +/- 2.21, N = 3 1888.62
PlaidML FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL OpenBenchmarking.org FPS, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL RTX 3060 Ti 500 1000 1500 2000 2500 SE +/- 6.89, N = 3 2434.78
PlaidML FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL RTX 3060 Ti 40 80 120 160 200 SE +/- 0.09, N = 3 177.76
Blender Blend File: BMW27 - Compute: CUDA OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: BMW27 - Compute: CUDA RTX 3060 Ti 60 120 180 240 300 SE +/- 1.26, N = 3 267.23
Blender Blend File: Classroom - Compute: CUDA OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Classroom - Compute: CUDA RTX 3060 Ti 60 120 180 240 300 SE +/- 1.38, N = 3 266.99
Blender Blend File: Fishy Cat - Compute: CUDA OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Fishy Cat - Compute: CUDA RTX 3060 Ti 200 400 600 800 1000 SE +/- 5.52, N = 3 865.82
Blender Blend File: Barbershop - Compute: CUDA OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Barbershop - Compute: CUDA RTX 3060 Ti 100 200 300 400 500 SE +/- 6.05, N = 9 451.91
Blender Blend File: BMW27 - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: BMW27 - Compute: NVIDIA OptiX RTX 3060 Ti 4 8 12 16 20 SE +/- 0.05, N = 3 18.10
Blender Blend File: Classroom - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Classroom - Compute: NVIDIA OptiX RTX 3060 Ti 13 26 39 52 65 SE +/- 0.07, N = 3 57.00
Blender Blend File: Fishy Cat - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Fishy Cat - Compute: NVIDIA OptiX RTX 3060 Ti 9 18 27 36 45 SE +/- 0.02, N = 3 37.21
Blender Blend File: Barbershop - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Barbershop - Compute: NVIDIA OptiX RTX 3060 Ti 120 240 360 480 600 SE +/- 9.32, N = 3 571.40
Blender Blend File: Pabellon Barcelona - Compute: CUDA OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Pabellon Barcelona - Compute: CUDA RTX 3060 Ti 200 400 600 800 1000 SE +/- 0.43, N = 3 915.72
Blender Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX RTX 3060 Ti 20 40 60 80 100 SE +/- 0.08, N = 3 86.25
MandelGPU OpenCL Device: GPU OpenBenchmarking.org Samples/sec, More Is Better MandelGPU 1.3pts1 OpenCL Device: GPU RTX 3060 Ti 60M 120M 180M 240M 300M SE +/- 498859.22, N = 3 282426080.8 1. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL
clpeak OpenCL Test: Integer Compute INT OpenBenchmarking.org GIOPS, More Is Better clpeak OpenCL Test: Integer Compute INT RTX 3060 Ti 2K 4K 6K 8K 10K SE +/- 82.16, N = 15 8356.99 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL
clpeak OpenCL Test: Single-Precision Float OpenBenchmarking.org GFLOPS, More Is Better clpeak OpenCL Test: Single-Precision Float RTX 3060 Ti 3K 6K 9K 12K 15K SE +/- 4.92, N = 3 15987.93 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL
clpeak OpenCL Test: Double-Precision Double OpenBenchmarking.org GFLOPS, More Is Better clpeak OpenCL Test: Double-Precision Double RTX 3060 Ti 70 140 210 280 350 SE +/- 0.04, N = 3 302.46 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL
clpeak OpenCL Test: Global Memory Bandwidth OpenBenchmarking.org GBPS, More Is Better clpeak OpenCL Test: Global Memory Bandwidth RTX 3060 Ti 80 160 240 320 400 SE +/- 0.01, N = 3 389.16 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL
Phoronix Test Suite v10.8.4