rtx3090 AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG CROSSHAIR X670E HERO (0805 BIOS) and MSI NVIDIA GeForce RTX 4090 24GB on Linuxmint 21.1 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2301238-NE-2301232NE06&sro .
rtx3090 Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL OpenCL Vulkan Compiler File-System Screen Resolution rtx3090-gpu rtx4090 AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads) ASUS ROG CROSSHAIR X670E HERO (0805 BIOS) AMD Device 14d8 62GB 2000GB Sabrent Rocket 4.0 Plus + 2000GB CT2000P5PSSD8 + 2000GB Samsung SSD 980 PRO 2TB eVGA NVIDIA GeForce RTX 3090 24GB NVIDIA GA102 HD Audio PHL 328E1 + LG ULTRAWIDE Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 Linuxmint 21.1 5.15.0-58-generic (x86_64) Cinnamon 5.6.7 X Server 1.21.1.3 NVIDIA 525.60.11 4.6.0 OpenCL 3.0 CUDA 12.0.89 1.3.224 GCC 11.3.0 ext4 8960x2160 MSI NVIDIA GeForce RTX 4090 24GB NVIDIA Device 22ba NVIDIA 525.78.01 OpenCL 3.0 CUDA 12.0.133 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler Details - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/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-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 Processor Details - Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203 Graphics Details - rtx3090-gpu: BAR1 / Visible vRAM Size: 256 MiB - vBIOS Version: 94.02.42.c0.15 - rtx4090: BAR1 / Visible vRAM Size: 256 MiB - vBIOS Version: 95.02.18.80.74 OpenCL Details - rtx3090-gpu: GPU Compute Cores: 10496 - rtx4090: GPU Compute Cores: 16384 Python Details - Python 3.10.8 Security Details - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
rtx3090 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 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 shoc: OpenCL - S3D shoc: OpenCL - Triad shoc: OpenCL - FFT SP shoc: OpenCL - MD5 Hash shoc: OpenCL - Reduction shoc: OpenCL - GEMM SGEMM_N shoc: OpenCL - Max SP Flops shoc: OpenCL - Bus Speed Download shoc: OpenCL - Bus Speed Readback shoc: OpenCL - Texture Read Bandwidth cl-mem: Copy cl-mem: Read cl-mem: Write namd-cuda: ATPase Simulation - 327,506 Atoms vkresample: 2x - Double vkresample: 2x - Single octanebench: Total Score fahbench: lczero: OpenCL rodinia: OpenCL Particle Filter arrayfire: Conjugate Gradient OpenCL luxcorerender: DLSC - GPU luxcorerender: Danish Mood - GPU luxcorerender: Orange Juice - GPU luxcorerender: LuxCore Benchmark - GPU luxcorerender: Rainbow Colors and Prism - GPU financebench: Black-Scholes OpenCL 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 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 blender: BMW27 - NVIDIA OptiX blender: Classroom - NVIDIA OptiX blender: Fishy Cat - NVIDIA OptiX blender: Barbershop - NVIDIA OptiX blender: Pabellon Barcelona - NVIDIA OptiX indigobench: OpenCL GPU - Bedroom indigobench: OpenCL GPU - Supercar mandelgpu: GPU clpeak: Integer Compute INT clpeak: Single-Precision Float clpeak: Double-Precision Double clpeak: Global Memory Bandwidth neatbench: GPU rtx3090-gpu rtx4090 20868.14 27457.96 20781.07 41153.13 652.97 652.88 20754.88 20661.07 13692.24 16740.59 5.613 29.671 3.263 42747 68180633333 21815700000 1092733 2735933333 790800 427.911 13.1025 2141.02 43.1315 395.854 8428.68 39391.9 13.3594 13.1913 2199.14 362.3 827.1 751.5 0.09694 118.989 9.350 686.766135 328.4820 40156 3.767 1.598 11.28 9.17 10.18 11.14 31.03 5.853 152 223 190 47.6 71.5 71.5 77.7 90.6 111 108 117 110 368 501 379 606 724 654 189 375 601 602 603 601 3.22 1.79 1.53 1.53 1.23 5.35 0.91 10.51 3.10 1.88 1.17 2.56 12.78 34.29 2.11 158.72 2.22 5.78 14.00 10.15 51.61 15.43 18.643 49.238 3132109.6 18146.33 35529.52 653.69 814.22 3090 46187.77 61074.83 46166.64 91395.92 1455.07 1454.97 46167.66 45916.99 30756.40 40926.05 4.289 18.886 2.492 63465 157233333333 51093900000 2775433 6520400000 1911500 653.058 26.2868 2812.76 95.7989 1044.72 27907.7 92405.0 26.8302 26.3504 3098.67 416.7 887.5 813.7 0.08095 53.815 7.746 1366.29518 442.4502 74185 2.091 0.8427 21.90 18.16 17.42 19.05 40.30 2.874 162 245 218 48.5 72.4 73.0 81.5 98.8 111 108 116 110 482 610 460 664 776 732 225 450 1197 1320 1340 1390 6.98 2.66 2.93 2.89 2.50 3.78 0.85 2.32 3.37 1.62 2.14 3.75 9.46 8.16 1.48 270.65 3.72 13.06 7.03 5.28 29.68 7.74 33.701 77.657 804490079.6 43083.60 85069.35 1449.77 869.72 4090 OpenBenchmarking.org
vkpeak fp32-scalar OpenBenchmarking.org GFLOPS, More Is Better vkpeak 20210424 fp32-scalar rtx3090-gpu rtx4090 10K 20K 30K 40K 50K SE +/- 62.27, N = 3 SE +/- 73.04, N = 3 20868.14 46187.77
vkpeak fp32-vec4 OpenBenchmarking.org GFLOPS, More Is Better vkpeak 20210424 fp32-vec4 rtx3090-gpu rtx4090 13K 26K 39K 52K 65K SE +/- 65.98, N = 3 SE +/- 47.86, N = 3 27457.96 61074.83
vkpeak fp16-scalar OpenBenchmarking.org GFLOPS, More Is Better vkpeak 20210424 fp16-scalar rtx3090-gpu rtx4090 10K 20K 30K 40K 50K SE +/- 10.69, N = 3 SE +/- 46.75, N = 3 20781.07 46166.64
vkpeak fp16-vec4 OpenBenchmarking.org GFLOPS, More Is Better vkpeak 20210424 fp16-vec4 rtx3090-gpu rtx4090 20K 40K 60K 80K 100K SE +/- 12.43, N = 3 SE +/- 128.78, N = 3 41153.13 91395.92
vkpeak fp64-scalar OpenBenchmarking.org GFLOPS, More Is Better vkpeak 20210424 fp64-scalar rtx3090-gpu rtx4090 300 600 900 1200 1500 SE +/- 0.37, N = 3 SE +/- 0.06, N = 3 652.97 1455.07
vkpeak fp64-vec4 OpenBenchmarking.org GFLOPS, More Is Better vkpeak 20210424 fp64-vec4 rtx3090-gpu rtx4090 300 600 900 1200 1500 SE +/- 0.37, N = 3 SE +/- 0.10, N = 3 652.88 1454.97
vkpeak int32-scalar OpenBenchmarking.org GIOPS, More Is Better vkpeak 20210424 int32-scalar rtx3090-gpu rtx4090 10K 20K 30K 40K 50K SE +/- 9.80, N = 3 SE +/- 9.81, N = 3 20754.88 46167.66
vkpeak int32-vec4 OpenBenchmarking.org GIOPS, More Is Better vkpeak 20210424 int32-vec4 rtx3090-gpu rtx4090 10K 20K 30K 40K 50K SE +/- 6.94, N = 3 SE +/- 42.39, N = 3 20661.07 45916.99
vkpeak int16-scalar OpenBenchmarking.org GIOPS, More Is Better vkpeak 20210424 int16-scalar rtx3090-gpu rtx4090 7K 14K 21K 28K 35K SE +/- 7.48, N = 3 SE +/- 26.05, N = 3 13692.24 30756.40
vkpeak int16-vec4 OpenBenchmarking.org GIOPS, More Is Better vkpeak 20210424 int16-vec4 rtx3090-gpu rtx4090 9K 18K 27K 36K 45K SE +/- 2.73, N = 3 SE +/- 22.76, N = 3 16740.59 40926.05
RealSR-NCNN Scale: 4x - TAA: No OpenBenchmarking.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: No rtx3090-gpu rtx4090 1.2629 2.5258 3.7887 5.0516 6.3145 SE +/- 0.011, N = 3 SE +/- 0.028, N = 3 5.613 4.289
RealSR-NCNN Scale: 4x - TAA: Yes OpenBenchmarking.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: Yes rtx3090-gpu rtx4090 7 14 21 28 35 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 29.67 18.89
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 rtx3090-gpu rtx4090 0.7342 1.4684 2.2026 2.9368 3.671 SE +/- 0.003, N = 3 SE +/- 0.009, N = 3 3.263 2.492
VkFFT OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 1.1.1 rtx3090-gpu rtx4090 14K 28K 42K 56K 70K SE +/- 394.43, N = 3 SE +/- 1362.49, N = 6 42747 63465 1. (CXX) g++ options: -O3
Hashcat Benchmark: MD5 OpenBenchmarking.org H/s, More Is Better Hashcat 6.2.4 Benchmark: MD5 rtx3090-gpu rtx4090 30000M 60000M 90000M 120000M 150000M SE +/- 25348328.90, N = 3 SE +/- 120185042.52, N = 3 68180633333 157233333333
Hashcat Benchmark: SHA1 OpenBenchmarking.org H/s, More Is Better Hashcat 6.2.4 Benchmark: SHA1 rtx3090-gpu rtx4090 11000M 22000M 33000M 44000M 55000M SE +/- 45720163.31, N = 3 SE +/- 75227011.99, N = 3 21815700000 51093900000
Hashcat Benchmark: 7-Zip OpenBenchmarking.org H/s, More Is Better Hashcat 6.2.4 Benchmark: 7-Zip rtx3090-gpu rtx4090 600K 1200K 1800K 2400K 3000K SE +/- 14591.13, N = 3 SE +/- 8294.64, N = 3 1092733 2775433
Hashcat Benchmark: SHA-512 OpenBenchmarking.org H/s, More Is Better Hashcat 6.2.4 Benchmark: SHA-512 rtx3090-gpu rtx4090 1400M 2800M 4200M 5600M 7000M SE +/- 3640665.38, N = 3 SE +/- 2150193.79, N = 3 2735933333 6520400000
Hashcat Benchmark: TrueCrypt RIPEMD160 + XTS OpenBenchmarking.org H/s, More Is Better Hashcat 6.2.4 Benchmark: TrueCrypt RIPEMD160 + XTS rtx3090-gpu rtx4090 400K 800K 1200K 1600K 2000K SE +/- 8982.20, N = 3 SE +/- 18569.78, N = 6 790800 1911500
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 rtx3090-gpu rtx4090 140 280 420 560 700 SE +/- 0.53, N = 3 SE +/- 0.46, N = 3 427.91 653.06 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi
SHOC Scalable HeterOgeneous Computing Target: OpenCL - Benchmark: Triad OpenBenchmarking.org GB/s, More Is Better SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: Triad rtx3090-gpu rtx4090 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 13.10 26.29 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi
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 rtx3090-gpu rtx4090 600 1200 1800 2400 3000 SE +/- 0.44, N = 3 SE +/- 1.85, N = 3 2141.02 2812.76 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi
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 rtx3090-gpu rtx4090 20 40 60 80 100 SE +/- 0.06, N = 3 SE +/- 1.04, N = 4 43.13 95.80 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi
SHOC Scalable HeterOgeneous Computing Target: OpenCL - Benchmark: Reduction OpenBenchmarking.org GB/s, More Is Better SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: Reduction rtx3090-gpu rtx4090 200 400 600 800 1000 SE +/- 0.54, N = 3 SE +/- 0.05, N = 3 395.85 1044.72 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi
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 rtx3090-gpu rtx4090 6K 12K 18K 24K 30K SE +/- 58.26, N = 3 SE +/- 311.60, N = 4 8428.68 27907.70 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi
SHOC Scalable HeterOgeneous Computing Target: OpenCL - Benchmark: Max SP Flops OpenBenchmarking.org GFLOPS, More Is Better SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: Max SP Flops rtx3090-gpu rtx4090 20K 40K 60K 80K 100K SE +/- 204.68, N = 3 SE +/- 131.92, N = 3 39391.9 92405.0 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi
SHOC Scalable HeterOgeneous Computing Target: OpenCL - Benchmark: Bus Speed Download OpenBenchmarking.org GB/s, More Is Better SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: Bus Speed Download rtx3090-gpu rtx4090 6 12 18 24 30 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 13.36 26.83 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi
SHOC Scalable HeterOgeneous Computing Target: OpenCL - Benchmark: Bus Speed Readback OpenBenchmarking.org GB/s, More Is Better SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: Bus Speed Readback rtx3090-gpu rtx4090 6 12 18 24 30 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 13.19 26.35 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi
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 rtx3090-gpu rtx4090 700 1400 2100 2800 3500 SE +/- 2.10, N = 3 SE +/- 1.63, N = 3 2199.14 3098.67 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi
cl-mem Benchmark: Copy OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Copy rtx3090-gpu rtx4090 90 180 270 360 450 SE +/- 0.35, N = 3 SE +/- 0.47, N = 3 362.3 416.7 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 rtx3090-gpu rtx4090 200 400 600 800 1000 SE +/- 0.59, N = 3 SE +/- 0.15, N = 3 827.1 887.5 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 rtx3090-gpu rtx4090 200 400 600 800 1000 SE +/- 0.58, N = 3 SE +/- 1.59, N = 3 751.5 813.7 1. (CC) gcc options: -O2 -flto -lOpenCL
NAMD CUDA ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD CUDA 2.14 ATPase Simulation - 327,506 Atoms rtx3090-gpu rtx4090 0.0218 0.0436 0.0654 0.0872 0.109 SE +/- 0.00139, N = 15 SE +/- 0.00092, N = 15 0.09694 0.08095
VkResample Upscale: 2x - Precision: Double OpenBenchmarking.org ms, Fewer Is Better VkResample 1.0 Upscale: 2x - Precision: Double rtx3090-gpu rtx4090 30 60 90 120 150 SE +/- 0.16, N = 3 SE +/- 0.02, N = 3 118.99 53.82 1. (CXX) g++ options: -O3
VkResample Upscale: 2x - Precision: Single OpenBenchmarking.org ms, Fewer Is Better VkResample 1.0 Upscale: 2x - Precision: Single rtx3090-gpu rtx4090 3 6 9 12 15 SE +/- 0.063, N = 3 SE +/- 0.019, N = 3 9.350 7.746 1. (CXX) g++ options: -O3
OctaneBench Total Score OpenBenchmarking.org Score, More Is Better OctaneBench 2020.1 Total Score rtx3090-gpu rtx4090 300 600 900 1200 1500 686.77 1366.30
FAHBench OpenBenchmarking.org Ns Per Day, More Is Better FAHBench 2.3.2 rtx3090-gpu rtx4090 100 200 300 400 500 SE +/- 0.29, N = 3 SE +/- 0.52, N = 3 328.48 442.45
LeelaChessZero Backend: OpenCL OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.28 Backend: OpenCL rtx3090-gpu rtx4090 16K 32K 48K 64K 80K SE +/- 467.99, N = 3 SE +/- 538.71, N = 3 40156 74185 1. (CXX) g++ options: -flto -pthread
Rodinia Test: OpenCL Particle Filter OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenCL Particle Filter rtx3090-gpu rtx4090 0.8476 1.6952 2.5428 3.3904 4.238 SE +/- 0.037, N = 6 3.767 2.091 1. (CXX) g++ options: -O2 -lOpenCL
ArrayFire Test: Conjugate Gradient OpenCL OpenBenchmarking.org ms, Fewer Is Better ArrayFire 3.7 Test: Conjugate Gradient OpenCL rtx3090-gpu rtx4090 0.3596 0.7192 1.0788 1.4384 1.798 SE +/- 0.0053, N = 3 SE +/- 0.0009, N = 3 1.5980 0.8427 1. (CXX) g++ options: -rdynamic
LuxCoreRender Scene: DLSC - Acceleration: GPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: DLSC - Acceleration: GPU rtx3090-gpu rtx4090 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 11.28 21.90 MIN: 10.52 / MAX: 11.61 MIN: 19.4 / MAX: 22.16
LuxCoreRender Scene: Danish Mood - Acceleration: GPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: Danish Mood - Acceleration: GPU rtx3090-gpu rtx4090 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 9.17 18.16 MIN: 3.4 / MAX: 10.68 MIN: 7.14 / MAX: 21.2
LuxCoreRender Scene: Orange Juice - Acceleration: GPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: Orange Juice - Acceleration: GPU rtx3090-gpu rtx4090 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 10.18 17.42 MIN: 8.51 / MAX: 13.53 MIN: 13.8 / MAX: 24.29
LuxCoreRender Scene: LuxCore Benchmark - Acceleration: GPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: LuxCore Benchmark - Acceleration: GPU rtx3090-gpu rtx4090 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 11.14 19.05 MIN: 3.22 / MAX: 12.94 MIN: 6.93 / MAX: 22.91
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 rtx3090-gpu rtx4090 9 18 27 36 45 SE +/- 0.14, N = 3 SE +/- 0.26, N = 3 31.03 40.30 MIN: 29.8 / MAX: 34.64 MIN: 36.9 / MAX: 46
FinanceBench Benchmark: Black-Scholes OpenCL OpenBenchmarking.org ms, Fewer Is Better FinanceBench 2016-07-25 Benchmark: Black-Scholes OpenCL rtx3090-gpu rtx4090 1.3169 2.6338 3.9507 5.2676 6.5845 SE +/- 0.004, N = 3 SE +/- 0.029, N = 6 5.853 2.874 1. (CXX) g++ options: -O3 -march=native -fopenmp
ViennaCL Test: CPU BLAS - sCOPY OpenBenchmarking.org GB/s, More Is Better ViennaCL 1.7.1 Test: CPU BLAS - sCOPY rtx3090-gpu rtx4090 40 80 120 160 200 SE +/- 1.01, N = 15 SE +/- 1.86, N = 3 152 162 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 rtx3090-gpu rtx4090 50 100 150 200 250 SE +/- 2.26, N = 15 SE +/- 5.13, N = 3 223 245 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 rtx3090-gpu rtx4090 50 100 150 200 250 SE +/- 2.19, N = 15 SE +/- 6.66, N = 3 190 218 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 rtx3090-gpu rtx4090 11 22 33 44 55 SE +/- 0.37, N = 15 SE +/- 0.23, N = 3 47.6 48.5 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 rtx3090-gpu rtx4090 16 32 48 64 80 SE +/- 0.55, N = 15 SE +/- 1.57, N = 3 71.5 72.4 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 rtx3090-gpu rtx4090 16 32 48 64 80 SE +/- 0.81, N = 15 SE +/- 0.74, N = 3 71.5 73.0 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 rtx3090-gpu rtx4090 20 40 60 80 100 SE +/- 4.91, N = 15 SE +/- 7.55, N = 3 77.7 81.5 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 rtx3090-gpu rtx4090 20 40 60 80 100 SE +/- 2.55, N = 15 SE +/- 0.96, N = 3 90.6 98.8 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 rtx3090-gpu rtx4090 20 40 60 80 100 SE +/- 0.48, N = 15 SE +/- 0.88, N = 3 111 111 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 rtx3090-gpu rtx4090 20 40 60 80 100 SE +/- 0.34, N = 15 SE +/- 0.33, N = 3 108 108 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 rtx3090-gpu rtx4090 30 60 90 120 150 SE +/- 0.59, N = 15 SE +/- 0.58, N = 3 117 116 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 rtx3090-gpu rtx4090 20 40 60 80 100 SE +/- 0.61, N = 10 SE +/- 0.58, N = 3 110 110 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 rtx3090-gpu rtx4090 100 200 300 400 500 SE +/- 0.67, N = 3 SE +/- 0.67, N = 3 368 482 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 rtx3090-gpu rtx4090 130 260 390 520 650 SE +/- 1.86, N = 3 SE +/- 0.58, N = 3 501 610 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 rtx3090-gpu rtx4090 100 200 300 400 500 SE +/- 0.58, N = 3 SE +/- 0.33, N = 3 379 460 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 rtx3090-gpu rtx4090 140 280 420 560 700 SE +/- 0.58, N = 3 SE +/- 0.00, N = 3 606 664 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 rtx3090-gpu rtx4090 200 400 600 800 1000 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 724 776 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 rtx3090-gpu rtx4090 160 320 480 640 800 SE +/- 0.58, N = 3 SE +/- 0.58, N = 3 654 732 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 rtx3090-gpu rtx4090 50 100 150 200 250 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 189 225 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 rtx3090-gpu rtx4090 100 200 300 400 500 SE +/- 0.00, N = 2 SE +/- 0.33, N = 3 375 450 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 rtx3090-gpu rtx4090 300 600 900 1200 1500 SE +/- 1.86, N = 3 SE +/- 3.33, N = 3 601 1197 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 rtx3090-gpu rtx4090 300 600 900 1200 1500 SE +/- 4.41, N = 3 SE +/- 0.00, N = 3 602 1320 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 rtx3090-gpu rtx4090 300 600 900 1200 1500 SE +/- 1.53, N = 3 SE +/- 0.00, N = 3 603 1340 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 rtx3090-gpu rtx4090 300 600 900 1200 1500 SE +/- 0.00, N = 3 601 1390 1. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
NCNN Target: Vulkan GPU - Model: mobilenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: mobilenet rtx3090-gpu rtx4090 2 4 6 8 10 SE +/- 0.03, N = 6 SE +/- 4.06, N = 9 3.22 6.98 MIN: 2.81 / MAX: 31.79 MIN: 2.61 / MAX: 47.34 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 rtx3090-gpu rtx4090 0.5985 1.197 1.7955 2.394 2.9925 SE +/- 0.03, N = 6 SE +/- 1.31, N = 9 1.79 2.66 MIN: 1.11 / MAX: 14.96 MIN: 1.16 / MAX: 20.75 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 rtx3090-gpu rtx4090 0.6593 1.3186 1.9779 2.6372 3.2965 SE +/- 0.03, N = 6 SE +/- 1.19, N = 9 1.53 2.93 MIN: 1.39 / MAX: 15.23 MIN: 1.25 / MAX: 41.37 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: shufflenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: shufflenet-v2 rtx3090-gpu rtx4090 0.6503 1.3006 1.9509 2.6012 3.2515 SE +/- 0.05, N = 6 SE +/- 1.51, N = 9 1.53 2.89 MIN: 1.34 / MAX: 14.72 MIN: 1.17 / MAX: 21.26 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: mnasnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: mnasnet rtx3090-gpu rtx4090 0.5625 1.125 1.6875 2.25 2.8125 SE +/- 0.01, N = 6 SE +/- 1.41, N = 9 1.23 2.50 MIN: 1.13 / MAX: 7.82 MIN: 0.98 / MAX: 22.9 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: efficientnet-b0 OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: efficientnet-b0 rtx3090-gpu rtx4090 1.2038 2.4076 3.6114 4.8152 6.019 SE +/- 0.96, N = 6 SE +/- 1.43, N = 9 5.35 3.78 MIN: 2.22 / MAX: 29.26 MIN: 1.76 / MAX: 23.24 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: blazeface OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: blazeface rtx3090-gpu rtx4090 0.2048 0.4096 0.6144 0.8192 1.024 SE +/- 0.01, N = 6 SE +/- 0.00, N = 9 0.91 0.85 MIN: 0.83 / MAX: 8.02 MIN: 0.78 / MAX: 6.72 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: googlenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: googlenet rtx3090-gpu rtx4090 3 6 9 12 15 SE +/- 0.10, N = 6 SE +/- 0.04, N = 9 10.51 2.32 MIN: 1.94 / MAX: 27.24 MIN: 1.45 / MAX: 14.91 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: vgg16 OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: vgg16 rtx3090-gpu rtx4090 0.7583 1.5166 2.2749 3.0332 3.7915 SE +/- 0.20, N = 6 SE +/- 1.30, N = 9 3.10 3.37 MIN: 1.59 / MAX: 25.34 MIN: 1.47 / MAX: 26.06 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: resnet18 OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: resnet18 rtx3090-gpu rtx4090 0.423 0.846 1.269 1.692 2.115 SE +/- 0.11, N = 6 SE +/- 0.04, N = 7 1.88 1.62 MIN: 1.14 / MAX: 8.1 MIN: 1.17 / MAX: 14.28 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: alexnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: alexnet rtx3090-gpu rtx4090 0.4815 0.963 1.4445 1.926 2.4075 SE +/- 0.01, N = 6 SE +/- 0.17, N = 9 1.17 2.14 MIN: 1.08 / MAX: 7.56 MIN: 1.02 / MAX: 20 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: resnet50 OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: resnet50 rtx3090-gpu rtx4090 0.8438 1.6876 2.5314 3.3752 4.219 SE +/- 0.09, N = 6 SE +/- 1.60, N = 9 2.56 3.75 MIN: 1.73 / MAX: 14.19 MIN: 1.46 / MAX: 25.78 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: yolov4-tiny OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: yolov4-tiny rtx3090-gpu rtx4090 3 6 9 12 15 SE +/- 3.53, N = 6 SE +/- 3.93, N = 9 12.78 9.46 MIN: 5.02 / MAX: 48.89 MIN: 4.95 / MAX: 48.71 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: squeezenet_ssd OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: squeezenet_ssd rtx3090-gpu rtx4090 8 16 24 32 40 SE +/- 1.16, N = 6 SE +/- 4.27, N = 9 34.29 8.16 MIN: 7.52 / MAX: 75.03 MIN: 2.99 / MAX: 53.35 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: regnety_400m OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: regnety_400m rtx3090-gpu rtx4090 0.4748 0.9496 1.4244 1.8992 2.374 SE +/- 0.17, N = 6 SE +/- 0.02, N = 9 2.11 1.48 MIN: 1.7 / MAX: 19.18 MIN: 1.35 / MAX: 14.94 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: vision_transformer OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: vision_transformer rtx3090-gpu rtx4090 60 120 180 240 300 SE +/- 15.25, N = 6 SE +/- 127.68, N = 9 158.72 270.65 MIN: 115.97 / MAX: 1243.69 MIN: 99.36 / MAX: 1493.37 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: FastestDet OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: FastestDet rtx3090-gpu rtx4090 0.837 1.674 2.511 3.348 4.185 SE +/- 0.06, N = 6 SE +/- 1.45, N = 9 2.22 3.72 MIN: 1.54 / MAX: 13.66 MIN: 1.65 / MAX: 21.61 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Blender Blend File: BMW27 - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: BMW27 - Compute: NVIDIA OptiX rtx3090-gpu rtx4090 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 9.70, N = 12 5.78 13.06
Blender Blend File: Classroom - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Classroom - Compute: NVIDIA OptiX rtx3090-gpu rtx4090 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 14.00 7.03
Blender Blend File: Fishy Cat - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Fishy Cat - Compute: NVIDIA OptiX rtx3090-gpu rtx4090 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.06, N = 13 10.15 5.28
Blender Blend File: Barbershop - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Barbershop - Compute: NVIDIA OptiX rtx3090-gpu rtx4090 12 24 36 48 60 SE +/- 0.13, N = 3 SE +/- 0.06, N = 3 51.61 29.68
Blender Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX rtx3090-gpu rtx4090 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 15.43 7.74
IndigoBench Acceleration: OpenCL GPU - Scene: Bedroom OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: OpenCL GPU - Scene: Bedroom rtx3090-gpu rtx4090 8 16 24 32 40 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 18.64 33.70
IndigoBench Acceleration: OpenCL GPU - Scene: Supercar OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: OpenCL GPU - Scene: Supercar rtx3090-gpu rtx4090 20 40 60 80 100 SE +/- 0.15, N = 3 SE +/- 0.02, N = 3 49.24 77.66
MandelGPU OpenCL Device: GPU OpenBenchmarking.org Samples/sec, More Is Better MandelGPU 1.3pts1 OpenCL Device: GPU rtx3090-gpu rtx4090 200M 400M 600M 800M 1000M SE +/- 14.10, N = 3 SE +/- 5072564.87, N = 3 3132109.6 804490079.6 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 rtx3090-gpu rtx4090 9K 18K 27K 36K 45K SE +/- 152.55, N = 3 SE +/- 401.20, N = 3 18146.33 43083.60 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 rtx3090-gpu rtx4090 20K 40K 60K 80K 100K SE +/- 198.17, N = 3 SE +/- 31.18, N = 3 35529.52 85069.35 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 rtx3090-gpu rtx4090 300 600 900 1200 1500 SE +/- 0.79, N = 3 SE +/- 0.83, N = 3 653.69 1449.77 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 rtx3090-gpu rtx4090 200 400 600 800 1000 SE +/- 0.03, N = 3 SE +/- 0.40, N = 3 814.22 869.72 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL
NeatBench Acceleration: GPU OpenBenchmarking.org FPS, More Is Better NeatBench 5 Acceleration: GPU rtx3090-gpu rtx4090 900 1800 2700 3600 4500 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 3090 4090
Phoronix Test Suite v10.8.4