phoenix_tes1 AMD Ryzen 7 7700X 8-Core testing with a MSI PRO B650-P WIFI (MS-7D78) v1.0 (1.B0 BIOS) and NVIDIA GeForce RTX 3090 Ti 24GB on Ubuntu 23.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2404219-NE-PHOENIXTE43&grt .
phoenix_tes1 Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL OpenCL Compiler File-System Screen Resolution first_test_nvidia AMD Ryzen 7 7700X 8-Core @ 4.50GHz (8 Cores / 16 Threads) MSI PRO B650-P WIFI (MS-7D78) v1.0 (1.B0 BIOS) AMD Device 14d8 32GB 1000GB SHPP41-1000GM NVIDIA GeForce RTX 3090 Ti 24GB NVIDIA GA102 HD Audio DELL S3221QS Realtek RTL8125 2.5GbE + MEDIATEK MT7922 802.11ax PCI Ubuntu 23.04 6.2.0-39-generic (x86_64) GNOME Shell 44.3 X Server 1.21.1.7 NVIDIA 550.76 4.6.0 OpenCL 3.0 CUDA 12.4.131 GCC 12.3.0 + CUDA 11.8 ext4 1920x1080 OpenBenchmarking.org - Transparent Huge Pages: madvise - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-DAPbBt/gcc-12-12.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-DAPbBt/gcc-12-12.3.0/debian/tmp-gcn/usr --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 schedutil (Boost: Enabled) - CPU Microcode: 0xa601206 - GLAMOR - BAR1 / Visible vRAM Size: 256 MiB - vBIOS Version: 94.02.a0.00.01 - GPU Compute Cores: 10752 - Python 3.11.7 - gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
phoenix_tes1 blender: BMW27 - NVIDIA OptiX blender: Junkshop - NVIDIA OptiX blender: Classroom - NVIDIA OptiX blender: Fishy Cat - NVIDIA OptiX blender: Barbershop - NVIDIA OptiX blender: Pabellon Barcelona - NVIDIA OptiX cl-mem: Copy cl-mem: Read cl-mem: Write clpeak: Integer Compute INT clpeak: Single-Precision Float clpeak: Double-Precision Double clpeak: Global Memory Bandwidth fahbench: hashcat: MD5 hashcat: SHA1 hashcat: 7-Zip hashcat: SHA-512 hashcat: TrueCrypt RIPEMD160 + XTS indigobench: OpenCL GPU - Bedroom indigobench: OpenCL GPU - Supercar luxcorerender: DLSC - GPU luxcorerender: Danish Mood - GPU luxcorerender: Orange Juice - GPU luxcorerender: LuxCore Benchmark - GPU luxcorerender: Rainbow Colors and Prism - GPU mandelgpu: GPU namd-cuda: ATPase Simulation - 327,506 Atoms 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 ncnn: Vulkan GPU - squeezenet_ssd ncnn: Vulkan GPU - regnety_400m ncnn: Vulkan GPU - vision_transformer ncnn: Vulkan GPU - FastestDet neatbench: GPU octanebench: Total Score realsr-ncnn: 4x - No realsr-ncnn: 4x - Yes viennacl: CPU BLAS - sCOPY viennacl: CPU BLAS - sAXPY viennacl: CPU BLAS - sDOT viennacl: CPU BLAS - dCOPY viennacl: CPU BLAS - dAXPY viennacl: CPU BLAS - dDOT viennacl: CPU BLAS - dGEMV-N viennacl: CPU BLAS - dGEMV-T viennacl: CPU BLAS - dGEMM-NN viennacl: CPU BLAS - dGEMM-NT viennacl: CPU BLAS - dGEMM-TN viennacl: CPU BLAS - dGEMM-TT viennacl: OpenCL BLAS - sCOPY viennacl: OpenCL BLAS - sAXPY viennacl: OpenCL BLAS - sDOT viennacl: OpenCL BLAS - dCOPY viennacl: OpenCL BLAS - dAXPY viennacl: OpenCL BLAS - dDOT viennacl: OpenCL BLAS - dGEMV-N viennacl: OpenCL BLAS - dGEMV-T viennacl: OpenCL BLAS - dGEMM-NN viennacl: OpenCL BLAS - dGEMM-NT viennacl: OpenCL BLAS - dGEMM-TN viennacl: OpenCL BLAS - dGEMM-TT vkfft: FFT + iFFT R2C / C2R vkfft: FFT + iFFT C2C 1D batched in half precision vkfft: FFT + iFFT C2C Bluestein in single precision vkfft: FFT + iFFT C2C 1D batched in double precision vkfft: FFT + iFFT C2C 1D batched in single precision vkfft: FFT + iFFT C2C multidimensional in single precision vkfft: FFT + iFFT C2C Bluestein benchmark in double precision vkfft: FFT + iFFT C2C 1D batched in single precision, no reshuffling 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 vkresample: 2x - Double vkresample: 2x - Single waifu2x-ncnn: 2x - 3 - Yes first_test_nvidia 6.13 11.14 14.57 10.08 53.39 16.50 375.3 887.3 780.0 19797.45 38660.51 682.86 875.80 357.8893 77873933333 24389300000 1240067 3567933333 920967 22.088 55.012 15.37 10.27 12.96 12.93 36.28 512205954.7 0.11664 8.26 2.09 1.82 1.49 1.90 2.97 0.60 6.92 36.77 5.68 5.34 11.28 14.96 5.78 5.05 53.28 1.97 3090 710.340359 5.378 27.121 41.4 59.9 66.1 26.7 39.6 36.74 42.5 41.6 54.0 53.3 55.8 55.9 378 517 386 630 758 676 194 389 616 618 617 615 56730 166438 14716 26356 129620 53534 4460 130931 21660.78 28743.57 21659.94 42791.90 676.99 677.05 21596.79 21486.45 14236.27 18957.17 314.428 9.484 3.111 OpenBenchmarking.org
Blender Blend File: BMW27 - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: BMW27 - Compute: NVIDIA OptiX first_test_nvidia 2 4 6 8 10 SE +/- 0.06, N = 14 6.13
Blender Blend File: Junkshop - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Junkshop - Compute: NVIDIA OptiX first_test_nvidia 3 6 9 12 15 SE +/- 0.14, N = 14 11.14
Blender Blend File: Classroom - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Classroom - Compute: NVIDIA OptiX first_test_nvidia 4 8 12 16 20 SE +/- 0.01, N = 3 14.57
Blender Blend File: Fishy Cat - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Fishy Cat - Compute: NVIDIA OptiX first_test_nvidia 3 6 9 12 15 SE +/- 0.01, N = 3 10.08
Blender Blend File: Barbershop - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Barbershop - Compute: NVIDIA OptiX first_test_nvidia 12 24 36 48 60 SE +/- 0.37, N = 3 53.39
Blender Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX first_test_nvidia 4 8 12 16 20 SE +/- 0.01, N = 3 16.50
cl-mem Benchmark: Copy OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Copy first_test_nvidia 80 160 240 320 400 SE +/- 0.34, N = 3 375.3 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 first_test_nvidia 200 400 600 800 1000 SE +/- 0.17, N = 3 887.3 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 first_test_nvidia 200 400 600 800 1000 SE +/- 0.26, N = 3 780.0 1. (CC) gcc options: -O2 -flto -lOpenCL
clpeak OpenCL Test: Integer Compute INT OpenBenchmarking.org GIOPS, More Is Better clpeak 1.1.2 OpenCL Test: Integer Compute INT first_test_nvidia 4K 8K 12K 16K 20K SE +/- 4.92, N = 3 19797.45 1. (CXX) g++ options: -O3
clpeak OpenCL Test: Single-Precision Float OpenBenchmarking.org GFLOPS, More Is Better clpeak 1.1.2 OpenCL Test: Single-Precision Float first_test_nvidia 8K 16K 24K 32K 40K SE +/- 9.68, N = 3 38660.51 1. (CXX) g++ options: -O3
clpeak OpenCL Test: Double-Precision Double OpenBenchmarking.org GFLOPS, More Is Better clpeak 1.1.2 OpenCL Test: Double-Precision Double first_test_nvidia 150 300 450 600 750 SE +/- 1.13, N = 3 682.86 1. (CXX) g++ options: -O3
clpeak OpenCL Test: Global Memory Bandwidth OpenBenchmarking.org GBPS, More Is Better clpeak 1.1.2 OpenCL Test: Global Memory Bandwidth first_test_nvidia 200 400 600 800 1000 SE +/- 0.04, N = 3 875.80 1. (CXX) g++ options: -O3
FAHBench OpenBenchmarking.org Ns Per Day, More Is Better FAHBench 2.3.2 first_test_nvidia 80 160 240 320 400 SE +/- 0.04, N = 3 357.89
Hashcat Benchmark: MD5 OpenBenchmarking.org H/s, More Is Better Hashcat 6.2.4 Benchmark: MD5 first_test_nvidia 20000M 40000M 60000M 80000M 100000M SE +/- 104033589.66, N = 3 77873933333
Hashcat Benchmark: SHA1 OpenBenchmarking.org H/s, More Is Better Hashcat 6.2.4 Benchmark: SHA1 first_test_nvidia 5000M 10000M 15000M 20000M 25000M SE +/- 41461669.05, N = 3 24389300000
Hashcat Benchmark: 7-Zip OpenBenchmarking.org H/s, More Is Better Hashcat 6.2.4 Benchmark: 7-Zip first_test_nvidia 300K 600K 900K 1200K 1500K SE +/- 1217.01, N = 3 1240067
Hashcat Benchmark: SHA-512 OpenBenchmarking.org H/s, More Is Better Hashcat 6.2.4 Benchmark: SHA-512 first_test_nvidia 800M 1600M 2400M 3200M 4000M SE +/- 8403240.12, N = 3 3567933333
Hashcat Benchmark: TrueCrypt RIPEMD160 + XTS OpenBenchmarking.org H/s, More Is Better Hashcat 6.2.4 Benchmark: TrueCrypt RIPEMD160 + XTS first_test_nvidia 200K 400K 600K 800K 1000K SE +/- 1034.94, N = 3 920967
IndigoBench Acceleration: OpenCL GPU - Scene: Bedroom OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: OpenCL GPU - Scene: Bedroom first_test_nvidia 5 10 15 20 25 SE +/- 0.00, N = 3 22.09
IndigoBench Acceleration: OpenCL GPU - Scene: Supercar OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: OpenCL GPU - Scene: Supercar first_test_nvidia 12 24 36 48 60 SE +/- 0.04, N = 3 55.01
LuxCoreRender Scene: DLSC - Acceleration: GPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: DLSC - Acceleration: GPU first_test_nvidia 4 8 12 16 20 SE +/- 0.04, N = 3 15.37 MIN: 14.56 / MAX: 15.64
LuxCoreRender Scene: Danish Mood - Acceleration: GPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: Danish Mood - Acceleration: GPU first_test_nvidia 3 6 9 12 15 SE +/- 0.07, N = 3 10.27 MIN: 2.91 / MAX: 12.44
LuxCoreRender Scene: Orange Juice - Acceleration: GPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: Orange Juice - Acceleration: GPU first_test_nvidia 3 6 9 12 15 SE +/- 0.09, N = 3 12.96 MIN: 10.9 / MAX: 17.67
LuxCoreRender Scene: LuxCore Benchmark - Acceleration: GPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: LuxCore Benchmark - Acceleration: GPU first_test_nvidia 3 6 9 12 15 SE +/- 0.01, N = 3 12.93 MIN: 4.27 / MAX: 15.54
LuxCoreRender Scene: Rainbow Colors and Prism - Acceleration: GPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: Rainbow Colors and Prism - Acceleration: GPU first_test_nvidia 8 16 24 32 40 SE +/- 0.25, N = 3 36.28 MIN: 32.15 / MAX: 39.6
MandelGPU OpenCL Device: GPU OpenBenchmarking.org Samples/sec, More Is Better MandelGPU 1.3pts1 OpenCL Device: GPU first_test_nvidia 110M 220M 330M 440M 550M SE +/- 781425.53, N = 3 512205954.7 1. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL
NAMD CUDA ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD CUDA 2.14 ATPase Simulation - 327,506 Atoms first_test_nvidia 0.0262 0.0524 0.0786 0.1048 0.131 SE +/- 0.00124, N = 3 0.11664
NCNN Target: Vulkan GPU - Model: mobilenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: mobilenet first_test_nvidia 2 4 6 8 10 SE +/- 0.07, N = 15 8.26 MIN: 6.2 / MAX: 40.57 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 first_test_nvidia 0.4703 0.9406 1.4109 1.8812 2.3515 SE +/- 0.03, N = 15 2.09 MIN: 1.62 / MAX: 58.88 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 first_test_nvidia 0.4095 0.819 1.2285 1.638 2.0475 SE +/- 0.02, N = 15 1.82 MIN: 1.43 / MAX: 10.8 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: shufflenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: shufflenet-v2 first_test_nvidia 0.3353 0.6706 1.0059 1.3412 1.6765 SE +/- 0.02, N = 15 1.49 MIN: 1.19 / MAX: 42.32 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: mnasnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: mnasnet first_test_nvidia 0.4275 0.855 1.2825 1.71 2.1375 SE +/- 0.03, N = 15 1.90 MIN: 1.46 / MAX: 47.12 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: efficientnet-b0 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: efficientnet-b0 first_test_nvidia 0.6683 1.3366 2.0049 2.6732 3.3415 SE +/- 0.03, N = 15 2.97 MIN: 2.21 / MAX: 13.77 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: blazeface OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: blazeface first_test_nvidia 0.135 0.27 0.405 0.54 0.675 SE +/- 0.01, N = 15 0.60 MIN: 0.49 / MAX: 7.44 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: googlenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: googlenet first_test_nvidia 2 4 6 8 10 SE +/- 0.13, N = 15 6.92 MIN: 4.93 / MAX: 84.47 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: vgg16 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: vgg16 first_test_nvidia 8 16 24 32 40 SE +/- 0.12, N = 15 36.77 MIN: 29.61 / MAX: 123.69 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: resnet18 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: resnet18 first_test_nvidia 1.278 2.556 3.834 5.112 6.39 SE +/- 0.12, N = 15 5.68 MIN: 4.09 / MAX: 70.17 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: alexnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: alexnet first_test_nvidia 1.2015 2.403 3.6045 4.806 6.0075 SE +/- 0.06, N = 15 5.34 MIN: 3.84 / MAX: 65.9 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: resnet50 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: resnet50 first_test_nvidia 3 6 9 12 15 SE +/- 0.16, N = 15 11.28 MIN: 8.56 / MAX: 78.26 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: yolov4-tiny OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: yolov4-tiny first_test_nvidia 4 8 12 16 20 SE +/- 0.16, N = 15 14.96 MIN: 11.35 / MAX: 84.62 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: squeezenet_ssd OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: squeezenet_ssd first_test_nvidia 1.3005 2.601 3.9015 5.202 6.5025 SE +/- 0.08, N = 15 5.78 MIN: 4.21 / MAX: 95.17 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: regnety_400m OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: regnety_400m first_test_nvidia 1.1363 2.2726 3.4089 4.5452 5.6815 SE +/- 0.03, N = 14 5.05 MIN: 3.95 / MAX: 79.08 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: vision_transformer OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: vision_transformer first_test_nvidia 12 24 36 48 60 SE +/- 0.18, N = 15 53.28 MIN: 49.16 / MAX: 209.7 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: FastestDet OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: Vulkan GPU - Model: FastestDet first_test_nvidia 0.4433 0.8866 1.3299 1.7732 2.2165 SE +/- 0.03, N = 15 1.97 MIN: 1.54 / MAX: 68.95 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NeatBench Acceleration: GPU OpenBenchmarking.org FPS, More Is Better NeatBench 5 Acceleration: GPU first_test_nvidia 700 1400 2100 2800 3500 SE +/- 0.00, N = 3 3090
OctaneBench Total Score OpenBenchmarking.org Score, More Is Better OctaneBench 2020.1 Total Score first_test_nvidia 150 300 450 600 750 710.34
RealSR-NCNN Scale: 4x - TAA: No OpenBenchmarking.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: No first_test_nvidia 1.2101 2.4202 3.6303 4.8404 6.0505 SE +/- 0.021, N = 3 5.378
RealSR-NCNN Scale: 4x - TAA: Yes OpenBenchmarking.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: Yes first_test_nvidia 6 12 18 24 30 SE +/- 0.02, N = 3 27.12
ViennaCL Test: CPU BLAS - sCOPY OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - sCOPY first_test_nvidia 9 18 27 36 45 SE +/- 0.35, N = 3 41.4 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: CPU BLAS - sAXPY OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - sAXPY first_test_nvidia 13 26 39 52 65 SE +/- 0.72, N = 3 59.9 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: CPU BLAS - sDOT OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - sDOT first_test_nvidia 15 30 45 60 75 SE +/- 0.70, N = 3 66.1 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: CPU BLAS - dCOPY OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dCOPY first_test_nvidia 6 12 18 24 30 SE +/- 5.50, N = 3 26.7 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: CPU BLAS - dAXPY OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dAXPY first_test_nvidia 9 18 27 36 45 SE +/- 8.37, N = 3 39.6 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: CPU BLAS - dDOT OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dDOT first_test_nvidia 8 16 24 32 40 SE +/- 13.68, N = 3 36.74 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: CPU BLAS - dGEMV-N OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dGEMV-N first_test_nvidia 10 20 30 40 50 SE +/- 14.65, N = 3 42.5 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: CPU BLAS - dGEMV-T OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dGEMV-T first_test_nvidia 9 18 27 36 45 SE +/- 14.61, N = 3 41.6 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: CPU BLAS - dGEMM-NN OpenBenchmarking.org GFLOPs/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dGEMM-NN first_test_nvidia 12 24 36 48 60 SE +/- 2.81, N = 3 54.0 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: CPU BLAS - dGEMM-NT OpenBenchmarking.org GFLOPs/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dGEMM-NT first_test_nvidia 12 24 36 48 60 SE +/- 2.35, N = 3 53.3 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: CPU BLAS - dGEMM-TN OpenBenchmarking.org GFLOPs/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dGEMM-TN first_test_nvidia 13 26 39 52 65 SE +/- 3.18, N = 3 55.8 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
ViennaCL Test: CPU BLAS - dGEMM-TT OpenBenchmarking.org GFLOPs/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - dGEMM-TT first_test_nvidia 13 26 39 52 65 SE +/- 2.02, N = 3 55.9 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 first_test_nvidia 80 160 240 320 400 SE +/- 0.58, N = 3 378 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 first_test_nvidia 110 220 330 440 550 SE +/- 0.88, N = 3 517 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 first_test_nvidia 80 160 240 320 400 SE +/- 0.67, N = 3 386 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 first_test_nvidia 140 280 420 560 700 SE +/- 0.33, N = 3 630 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 first_test_nvidia 160 320 480 640 800 SE +/- 0.33, N = 3 758 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 first_test_nvidia 150 300 450 600 750 SE +/- 0.33, N = 3 676 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 first_test_nvidia 40 80 120 160 200 SE +/- 0.33, N = 3 194 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 first_test_nvidia 80 160 240 320 400 SE +/- 0.00, N = 2 389 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 first_test_nvidia 130 260 390 520 650 SE +/- 0.33, N = 3 616 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 first_test_nvidia 130 260 390 520 650 SE +/- 0.33, N = 3 618 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 first_test_nvidia 130 260 390 520 650 SE +/- 0.33, N = 3 617 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 first_test_nvidia 130 260 390 520 650 615 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
VkFFT Test: FFT + iFFT R2C / C2R OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 1.3.4 Test: FFT + iFFT R2C / C2R first_test_nvidia 12K 24K 36K 48K 60K SE +/- 483.96, N = 15 56730 1. (CXX) g++ options: -O3
VkFFT Test: FFT + iFFT C2C 1D batched in half precision OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 1.3.4 Test: FFT + iFFT C2C 1D batched in half precision first_test_nvidia 40K 80K 120K 160K 200K SE +/- 1376.35, N = 15 166438 1. (CXX) g++ options: -O3
VkFFT Test: FFT + iFFT C2C Bluestein in single precision OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 1.3.4 Test: FFT + iFFT C2C Bluestein in single precision first_test_nvidia 3K 6K 9K 12K 15K SE +/- 49.10, N = 3 14716 1. (CXX) g++ options: -O3
VkFFT Test: FFT + iFFT C2C 1D batched in double precision OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 1.3.4 Test: FFT + iFFT C2C 1D batched in double precision first_test_nvidia 6K 12K 18K 24K 30K SE +/- 89.25, N = 3 26356 1. (CXX) g++ options: -O3
VkFFT Test: FFT + iFFT C2C 1D batched in single precision OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 1.3.4 Test: FFT + iFFT C2C 1D batched in single precision first_test_nvidia 30K 60K 90K 120K 150K SE +/- 1166.63, N = 7 129620 1. (CXX) g++ options: -O3
VkFFT Test: FFT + iFFT C2C multidimensional in single precision OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 1.3.4 Test: FFT + iFFT C2C multidimensional in single precision first_test_nvidia 11K 22K 33K 44K 55K SE +/- 709.02, N = 3 53534 1. (CXX) g++ options: -O3
VkFFT Test: FFT + iFFT C2C Bluestein benchmark in double precision OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 1.3.4 Test: FFT + iFFT C2C Bluestein benchmark in double precision first_test_nvidia 1000 2000 3000 4000 5000 SE +/- 4.67, N = 3 4460 1. (CXX) g++ options: -O3
VkFFT Test: FFT + iFFT C2C 1D batched in single precision, no reshuffling OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 1.3.4 Test: FFT + iFFT C2C 1D batched in single precision, no reshuffling first_test_nvidia 30K 60K 90K 120K 150K SE +/- 1701.00, N = 3 130931 1. (CXX) g++ options: -O3
vkpeak fp32-scalar OpenBenchmarking.org GFLOPS, More Is Better vkpeak 20230730 fp32-scalar first_test_nvidia 5K 10K 15K 20K 25K SE +/- 49.64, N = 3 21660.78
vkpeak fp32-vec4 OpenBenchmarking.org GFLOPS, More Is Better vkpeak 20230730 fp32-vec4 first_test_nvidia 6K 12K 18K 24K 30K SE +/- 83.91, N = 3 28743.57
vkpeak fp16-scalar OpenBenchmarking.org GFLOPS, More Is Better vkpeak 20230730 fp16-scalar first_test_nvidia 5K 10K 15K 20K 25K SE +/- 62.99, N = 3 21659.94
vkpeak fp16-vec4 OpenBenchmarking.org GFLOPS, More Is Better vkpeak 20230730 fp16-vec4 first_test_nvidia 9K 18K 27K 36K 45K SE +/- 18.20, N = 3 42791.90
vkpeak fp64-scalar OpenBenchmarking.org GFLOPS, More Is Better vkpeak 20230730 fp64-scalar first_test_nvidia 150 300 450 600 750 SE +/- 0.06, N = 3 676.99
vkpeak fp64-vec4 OpenBenchmarking.org GFLOPS, More Is Better vkpeak 20230730 fp64-vec4 first_test_nvidia 150 300 450 600 750 SE +/- 0.02, N = 3 677.05
vkpeak int32-scalar OpenBenchmarking.org GIOPS, More Is Better vkpeak 20230730 int32-scalar first_test_nvidia 5K 10K 15K 20K 25K SE +/- 0.22, N = 3 21596.79
vkpeak int32-vec4 OpenBenchmarking.org GIOPS, More Is Better vkpeak 20230730 int32-vec4 first_test_nvidia 5K 10K 15K 20K 25K SE +/- 9.06, N = 3 21486.45
vkpeak int16-scalar OpenBenchmarking.org GIOPS, More Is Better vkpeak 20230730 int16-scalar first_test_nvidia 3K 6K 9K 12K 15K SE +/- 0.78, N = 3 14236.27
vkpeak int16-vec4 OpenBenchmarking.org GIOPS, More Is Better vkpeak 20230730 int16-vec4 first_test_nvidia 4K 8K 12K 16K 20K SE +/- 0.55, N = 3 18957.17
VkResample Upscale: 2x - Precision: Double OpenBenchmarking.org ms, Fewer Is Better VkResample 1.0 Upscale: 2x - Precision: Double first_test_nvidia 70 140 210 280 350 SE +/- 0.52, N = 3 314.43 1. (CXX) g++ options: -O3
VkResample Upscale: 2x - Precision: Single OpenBenchmarking.org ms, Fewer Is Better VkResample 1.0 Upscale: 2x - Precision: Single first_test_nvidia 3 6 9 12 15 SE +/- 0.002, N = 3 9.484 1. (CXX) g++ options: -O3
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 first_test_nvidia 0.7 1.4 2.1 2.8 3.5 SE +/- 0.003, N = 3 3.111
Phoronix Test Suite v10.8.5