Benchmarks for a future article.
GTX 1060 Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: NVIDIA GeForce GTX 1060 6GB (1506/4006MHz), Audio: NVIDIA GP106 HD Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 20.04, Kernel: 5.4.0-54-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 455.45.01, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.1.114, Vulkan: 1.2.142, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160
Compiler Notes: --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0xa201009OpenCL Notes: GPU Compute Cores: 1280Python Notes: Python 2.7.18 + Python 3.8.5Security Notes: 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
GTX 1660 SUPER Changed Graphics to eVGA NVIDIA GeForce GTX 1660 SUPER 6GB (1530/7000MHz) .
Compiler Notes: --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0xa201009OpenCL Notes: GPU Compute Cores: 1408Python Notes: Python 2.7.18 + Python 3.8.5Security Notes: 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
GTX 1660 Ti Changed Graphics to eVGA NVIDIA GeForce GTX 1660 Ti 6GB (1500/6000MHz) .
Compiler Notes: --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0xa201009OpenCL Notes: GPU Compute Cores: 1536Python Notes: Python 2.7.18 + Python 3.8.5Security Notes: 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
RTX 2060 Changed Graphics to NVIDIA GeForce RTX 2060 6GB (1365/7000MHz) .
Compiler Notes: --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0xa201009OpenCL Notes: GPU Compute Cores: 1920Python Notes: Python 2.7.18 + Python 3.8.5Security Notes: 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
RTX 2060 SUPER Changed Graphics to NVIDIA GeForce RTX 2060 SUPER 8GB (1470/7000MHz) .
Compiler Notes: --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0xa201009OpenCL Notes: GPU Compute Cores: 2176Python Notes: Python 2.7.18 + Python 3.8.5Security Notes: 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
RTX 2070 Changed Graphics to ASUS NVIDIA GeForce RTX 2070 8GB (1410/7000MHz) .
Compiler Notes: --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0xa201009OpenCL Notes: GPU Compute Cores: 2304Python Notes: Python 2.7.18 + Python 3.8.5Security Notes: 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
RTX 2070 SUPER Changed Graphics to NVIDIA GeForce RTX 2070 SUPER 8GB (1605/7000MHz) .
Compiler Notes: --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0xa201009OpenCL Notes: GPU Compute Cores: 2560Python Notes: Python 2.7.18 + Python 3.8.5Security Notes: 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
RTX 2080 Changed Graphics to Zotac NVIDIA GeForce RTX 2080 8GB (1515/7000MHz) .
Compiler Notes: --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0xa201009OpenCL Notes: GPU Compute Cores: 2944Python Notes: Python 2.7.18 + Python 3.8.5Security Notes: 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
RTX 2080 SUPER Changed Graphics to NVIDIA GeForce RTX 2080 SUPER 8GB (1650/7750MHz) .
Compiler Notes: --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0xa201009OpenCL Notes: GPU Compute Cores: 3072Python Notes: Python 2.7.18 + Python 3.8.5Security Notes: 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
RTX 2080 Ti Changed Graphics to NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz) .
Compiler Notes: --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0xa201009OpenCL Notes: GPU Compute Cores: 4352Python Notes: Python 2.7.18 + Python 3.8.5Security Notes: 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
TITAN RTX Changed Graphics to NVIDIA TITAN RTX 24GB (555/810MHz) .
Compiler Notes: --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0xa201009OpenCL Notes: GPU Compute Cores: 4608Python Notes: Python 2.7.18 + Python 3.8.5Security Notes: 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
RTX 3060 Ti Changed Graphics to NVIDIA GeForce RTX 3060 Ti 8GB (1665/7000MHz) .
Compiler Notes: --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0xa201009OpenCL Notes: GPU Compute Cores: 4864Python Notes: Python 2.7.18 + Python 3.8.5Security Notes: 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
RTX 3080 Changed Graphics to NVIDIA GeForce RTX 3080 10GB (1710/9501MHz) .
Compiler Notes: --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0xa201009OpenCL Notes: GPU Compute Cores: 8704Python Notes: Python 2.7.18 + Python 3.8.5Security Notes: 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
clpeak Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org GFLOPS, More Is Better clpeak OpenCL Test: Single-Precision Float GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 6K 12K 18K 24K 30K SE +/- 65.66, N = 15 SE +/- 29.82, N = 12 SE +/- 45.28, N = 15 SE +/- 104.44, N = 15 SE +/- 72.24, N = 15 SE +/- 93.84, N = 15 SE +/- 86.35, N = 15 SE +/- 74.65, N = 12 SE +/- 94.85, N = 15 SE +/- 160.87, N = 15 SE +/- 131.35, N = 15 SE +/- 24.65, N = 13 SE +/- 211.97, N = 13 4095.43 4543.04 4448.17 5480.01 6758.49 7203.49 8537.01 9117.91 10190.43 13338.39 13604.68 16012.88 28088.78 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL GFLOPS Per Watt
OpenBenchmarking.org GFLOPS Per Watt, More Is Better clpeak OpenCL Test: Single-Precision Float GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 70 140 210 280 350 101.60 117.45 142.17 131.53 124.64 157.05 144.93 152.55 179.85 158.64 132.66 327.99 309.31 Result Confidence
OpenBenchmarking.org GFLOPS, More Is Better clpeak OpenCL Test: Single-Precision Float GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 5K 10K 15K 20K 25K Min: 3511.37 / Avg: 4095.43 / Max: 4244.67 Min: 4369.28 / Avg: 4543.04 / Max: 4739.88 Min: 4224.56 / Avg: 4448.17 / Max: 4813.23 Min: 4993.13 / Avg: 5480.01 / Max: 6326.4 Min: 6356.11 / Avg: 6758.49 / Max: 7255.12 Min: 6734.47 / Avg: 7203.49 / Max: 7721.55 Min: 8224.26 / Avg: 8537.01 / Max: 9165.9 Min: 8807.67 / Avg: 9117.91 / Max: 9535.28 Min: 9436.42 / Avg: 10190.43 / Max: 10758.09 Min: 12442.87 / Avg: 13338.39 / Max: 14486.32 Min: 12771.63 / Avg: 13604.68 / Max: 14436.87 Min: 15838.85 / Avg: 16012.88 / Max: 16187.57 Min: 26662.15 / Avg: 28088.78 / Max: 29254.57 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL
Geekbench This is a benchmark of Geekbench 5 Pro. The test profile automates the execution of Geekbench 5 under the Phoronix Test Suite, assuming you have a valid license key for Geekbench 5 Pro. This test will not work without a valid license key for Geekbench Pro. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org Score, More Is Better Geekbench 5 Test: GPU NVIDIA CUDA GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 40K 80K 120K 160K 200K SE +/- 96.77, N = 3 SE +/- 387.46, N = 3 SE +/- 128.28, N = 3 SE +/- 411.67, N = 3 SE +/- 657.64, N = 3 SE +/- 667.51, N = 3 SE +/- 539.60, N = 3 SE +/- 663.75, N = 3 SE +/- 1753.98, N = 3 SE +/- 1291.90, N = 3 SE +/- 1675.18, N = 15 SE +/- 835.34, N = 3 SE +/- 2347.00, N = 14 33671 66387 67003 83535 90572 99664 110450 121856 128277 167858 155867 136797 208331 Score Per Watt
OpenBenchmarking.org Score Per Watt, More Is Better Geekbench 5 Test: GPU NVIDIA CUDA GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 500 1000 1500 2000 2500 592.62 1207.71 1499.74 1314.21 1421.93 1523.73 1590.39 1751.84 1815.72 1927.38 1602.54 2139.98 1916.20 Result Confidence
OpenBenchmarking.org Score, More Is Better Geekbench 5 Test: GPU NVIDIA CUDA GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 40K 80K 120K 160K 200K Min: 33478 / Avg: 33671 / Max: 33780 Min: 65709 / Avg: 66386.67 / Max: 67051 Min: 66851 / Avg: 67003 / Max: 67258 Min: 83095 / Avg: 83535.33 / Max: 84358 Min: 89758 / Avg: 90572.33 / Max: 91874 Min: 98330 / Avg: 99664 / Max: 100376 Min: 109605 / Avg: 110450.33 / Max: 111454 Min: 120842 / Avg: 121856 / Max: 123105 Min: 124988 / Avg: 128277 / Max: 130978 Min: 165474 / Avg: 167857.67 / Max: 169913 Min: 142322 / Avg: 155866.53 / Max: 164000 Min: 135732 / Avg: 136796.67 / Max: 138444 Min: 181801 / Avg: 208331.43 / Max: 216374
Blender Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Barbershop - Compute: NVIDIA OptiX GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 600 1200 1800 2400 3000 SE +/- 0.53, N = 3 SE +/- 8.92, N = 3 SE +/- 4.43, N = 3 SE +/- 3.65, N = 3 SE +/- 1.58, N = 3 SE +/- 0.49, N = 3 SE +/- 0.64, N = 3 SE +/- 0.11, N = 3 SE +/- 1.60, N = 3 SE +/- 1.43, N = 3 SE +/- 1.52, N = 3 SE +/- 0.76, N = 3 2593.95 2732.32 1783.16 1877.55 1803.97 1002.41 974.80 917.27 902.94 1002.97 581.54 458.51 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Barbershop - Compute: NVIDIA OptiX GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 500 1000 1500 2000 2500 Min: 2592.89 / Avg: 2593.95 / Max: 2594.53 Min: 2722.28 / Avg: 2732.32 / Max: 2750.12 Min: 1778.67 / Avg: 1783.16 / Max: 1792.02 Min: 1870.56 / Avg: 1877.55 / Max: 1882.88 Min: 1801 / Avg: 1803.97 / Max: 1806.39 Min: 1001.59 / Avg: 1002.41 / Max: 1003.27 Min: 973.76 / Avg: 974.8 / Max: 975.96 Min: 917.06 / Avg: 917.27 / Max: 917.42 Min: 899.93 / Avg: 902.94 / Max: 905.39 Min: 1000.12 / Avg: 1002.97 / Max: 1004.61 Min: 578.53 / Avg: 581.54 / Max: 583.46 Min: 457.07 / Avg: 458.51 / Max: 459.64
LuxCoreRender OpenCL LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on OpenCL accelerators/GPUs. The alternative luxcorerender test profile is for CPU execution due to a difference in tests, etc. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender OpenCL 2.3 Scene: DLSC GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 3 6 9 12 15 SE +/- 0.03, N = 12 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.08, N = 12 SE +/- 0.06, N = 12 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.14, N = 12 SE +/- 0.15, N = 12 1.73 2.60 2.37 3.31 3.96 4.19 4.29 4.20 4.34 5.65 5.46 7.13 9.29 MIN: 0.43 / MAX: 1.81 MIN: 2.33 / MAX: 2.67 MIN: 2.26 / MAX: 2.42 MIN: 1.83 / MAX: 3.4 MIN: 3.76 / MAX: 4.1 MIN: 4.09 / MAX: 4.28 MIN: 1.19 / MAX: 4.5 MIN: 1.51 / MAX: 4.4 MIN: 3.08 / MAX: 4.47 MIN: 5.25 / MAX: 5.77 MIN: 3.9 / MAX: 5.67 MIN: 1.94 / MAX: 7.5 MIN: 3.1 / MAX: 9.73 M samples/sec Per Watt
OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender OpenCL 2.3 Scene: DLSC GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 0.009 0.018 0.027 0.036 0.045 0.02 0.03 0.03 0.03 0.03 0.03 0.03 0.03 0.03 0.03 0.03 0.04 0.04 Result Confidence
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender OpenCL 2.3 Scene: DLSC GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 3 6 9 12 15 Min: 1.38 / Avg: 1.73 / Max: 1.77 Min: 2.59 / Avg: 2.6 / Max: 2.6 Min: 2.36 / Avg: 2.37 / Max: 2.37 Min: 3.29 / Avg: 3.31 / Max: 3.32 Min: 3.94 / Avg: 3.96 / Max: 3.97 Min: 4.18 / Avg: 4.19 / Max: 4.19 Min: 3.42 / Avg: 4.29 / Max: 4.39 Min: 3.53 / Avg: 4.2 / Max: 4.28 Min: 4.31 / Avg: 4.34 / Max: 4.37 Min: 5.64 / Avg: 5.65 / Max: 5.67 Min: 5.45 / Avg: 5.46 / Max: 5.48 Min: 5.62 / Avg: 7.13 / Max: 7.29 Min: 7.61 / Avg: 9.29 / Max: 9.5
Geekbench This is a benchmark of Geekbench 5 Pro. The test profile automates the execution of Geekbench 5 under the Phoronix Test Suite, assuming you have a valid license key for Geekbench 5 Pro. This test will not work without a valid license key for Geekbench Pro. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org Score, More Is Better Geekbench 5 Test: GPU OpenCL GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 40K 80K 120K 160K 200K SE +/- 218.79, N = 3 SE +/- 558.50, N = 3 SE +/- 420.54, N = 3 SE +/- 772.57, N = 3 SE +/- 823.09, N = 3 SE +/- 668.55, N = 3 SE +/- 521.87, N = 3 SE +/- 200.07, N = 3 SE +/- 1025.87, N = 3 SE +/- 303.84, N = 3 SE +/- 1711.48, N = 3 SE +/- 1279.48, N = 3 SE +/- 733.75, N = 3 36798 64680 64871 80712 87076 93805 105899 114773 124272 152583 151148 132421 197267 Score Per Watt
OpenBenchmarking.org Score Per Watt, More Is Better Geekbench 5 Test: GPU OpenCL GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 500 1000 1500 2000 2500 766.73 1296.98 1730.98 1473.91 1457.66 1631.21 1658.79 1613.12 1855.40 1962.16 1557.54 2278.18 1936.50 Result Confidence
OpenBenchmarking.org Score, More Is Better Geekbench 5 Test: GPU OpenCL GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 30K 60K 90K 120K 150K Min: 36452 / Avg: 36798 / Max: 37203 Min: 63639 / Avg: 64680.33 / Max: 65551 Min: 64118 / Avg: 64871 / Max: 65572 Min: 79172 / Avg: 80711.67 / Max: 81594 Min: 85433 / Avg: 87076 / Max: 87986 Min: 92778 / Avg: 93805 / Max: 95060 Min: 105094 / Avg: 105899.33 / Max: 106877 Min: 114373 / Avg: 114773 / Max: 114982 Min: 122274 / Avg: 124272 / Max: 125675 Min: 152034 / Avg: 152583.33 / Max: 153083 Min: 148329 / Avg: 151148 / Max: 154239 Min: 130022 / Avg: 132420.67 / Max: 134392 Min: 196456 / Avg: 197267.33 / Max: 198732
LuxCoreRender OpenCL LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on OpenCL accelerators/GPUs. The alternative luxcorerender test profile is for CPU execution due to a difference in tests, etc. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender OpenCL 2.3 Scene: LuxCore Benchmark GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 2 4 6 8 10 SE +/- 0.03, N = 12 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 12 SE +/- 0.04, N = 12 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 12 SE +/- 0.07, N = 14 1.45 2.20 1.96 2.76 3.26 3.51 3.57 3.48 3.61 4.60 4.42 5.79 7.26 MIN: 0.12 / MAX: 1.67 MIN: 0.2 / MAX: 2.52 MIN: 0.23 / MAX: 2.27 MIN: 0.24 / MAX: 3.15 MIN: 0.23 / MAX: 3.79 MIN: 0.23 / MAX: 4.01 MIN: 0.12 / MAX: 4.19 MIN: 0.14 / MAX: 4.06 MIN: 0.23 / MAX: 4.14 MIN: 0.27 / MAX: 5.34 MIN: 0.27 / MAX: 5.17 MIN: 0.12 / MAX: 6.75 MIN: 0.15 / MAX: 8.46 M samples/sec Per Watt
OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender OpenCL 2.3 Scene: LuxCore Benchmark GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 0.009 0.018 0.027 0.036 0.045 0.02 0.02 0.03 0.03 0.03 0.03 0.03 0.02 0.03 0.02 0.02 0.04 0.03 Result Confidence
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender OpenCL 2.3 Scene: LuxCore Benchmark GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 3 6 9 12 15 Min: 1.16 / Avg: 1.45 / Max: 1.49 Min: 2.18 / Avg: 2.2 / Max: 2.22 Min: 1.94 / Avg: 1.96 / Max: 2 Min: 2.74 / Avg: 2.76 / Max: 2.78 Min: 3.22 / Avg: 3.26 / Max: 3.29 Min: 3.5 / Avg: 3.51 / Max: 3.53 Min: 2.91 / Avg: 3.57 / Max: 3.69 Min: 3.01 / Avg: 3.48 / Max: 3.55 Min: 3.6 / Avg: 3.61 / Max: 3.63 Min: 4.56 / Avg: 4.6 / Max: 4.63 Min: 4.36 / Avg: 4.42 / Max: 4.52 Min: 4.61 / Avg: 5.79 / Max: 5.99 Min: 6.42 / Avg: 7.26 / Max: 7.4
Hashcat Hashcat is an open-source, advanced password recovery tool supporting GPU acceleration with OpenCL, NVIDIA CUDA, and Radeon ROCm. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: SHA-512 GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 500M 1000M 1500M 2000M 2500M SE +/- 1680378.97, N = 7 SE +/- 537821.25, N = 7 SE +/- 824002.18, N = 7 SE +/- 1478370.13, N = 7 SE +/- 1642277.33, N = 7 SE +/- 1566073.13, N = 7 SE +/- 953653.91, N = 7 SE +/- 2244509.55, N = 7 SE +/- 900264.51, N = 7 SE +/- 1585907.32, N = 7 SE +/- 4053921.28, N = 6 SE +/- 849289.42, N = 7 SE +/- 3329521.63, N = 7 465271429 784514286 794742857 1035028571 1104842857 1212785714 1399242857 1535414286 1705300000 2223128571 2118816667 1406928571 2306700000 H/s Per Watt
OpenBenchmarking.org H/s Per Watt, More Is Better Hashcat 6.1.1 Benchmark: SHA-512 GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 3M 6M 9M 12M 15M 6439856.15 10393151.81 11525083.37 11143378.53 10630748.27 12061400.80 11496268.33 12234041.69 12407758.84 14695988.64 12848448.80 12797897.19 12429064.19 Result Confidence
OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: SHA-512 GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 400M 800M 1200M 1600M 2000M Min: 455700000 / Avg: 465271428.57 / Max: 469500000 Min: 782600000 / Avg: 784514285.71 / Max: 786500000 Min: 791100000 / Avg: 794742857.14 / Max: 796800000 Min: 1031700000 / Avg: 1035028571.43 / Max: 1043100000 Min: 1099900000 / Avg: 1104842857.14 / Max: 1111700000 Min: 1207000000 / Avg: 1212785714.29 / Max: 1217500000 Min: 1394100000 / Avg: 1399242857.14 / Max: 1402000000 Min: 1527000000 / Avg: 1535414285.71 / Max: 1543200000 Min: 1701000000 / Avg: 1705300000 / Max: 1708300000 Min: 2215900000 / Avg: 2223128571.43 / Max: 2228000000 Min: 2101300000 / Avg: 2118816666.67 / Max: 2131400000 Min: 1402900000 / Avg: 1406928571.43 / Max: 1409100000 Min: 2295000000 / Avg: 2306700000 / Max: 2317700000
Result
OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: TrueCrypt RIPEMD160 + XTS GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 150K 300K 450K 600K 750K SE +/- 1264.28, N = 11 SE +/- 2205.50, N = 10 SE +/- 494.41, N = 8 SE +/- 1010.44, N = 8 SE +/- 2317.91, N = 10 SE +/- 366.29, N = 9 SE +/- 3357.49, N = 15 SE +/- 1086.65, N = 7 SE +/- 4540.66, N = 15 SE +/- 1367.60, N = 7 SE +/- 3170.74, N = 8 SE +/- 3786.64, N = 9 SE +/- 2510.22, N = 8 142264 237900 236988 306825 324240 359933 423593 458971 524033 650229 625550 434067 692388 H/s Per Watt
OpenBenchmarking.org H/s Per Watt, More Is Better Hashcat 6.1.1 Benchmark: TrueCrypt RIPEMD160 + XTS GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 1200 2400 3600 4800 6000 2915.07 3798.77 3963.53 3869.99 4691.05 4924.79 4726.82 4417.86 3899.84 4940.53 5053.52 5389.75 5092.00 Result Confidence
OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: TrueCrypt RIPEMD160 + XTS GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 120K 240K 360K 480K 600K Min: 133900 / Avg: 142263.64 / Max: 150200 Min: 229000 / Avg: 237900 / Max: 250200 Min: 234000 / Avg: 236987.5 / Max: 238800 Min: 302700 / Avg: 306825 / Max: 310200 Min: 309100 / Avg: 324240 / Max: 333200 Min: 358500 / Avg: 359933.33 / Max: 361500 Min: 400600 / Avg: 423593.33 / Max: 451300 Min: 455400 / Avg: 458971.43 / Max: 464300 Min: 501100 / Avg: 524033.33 / Max: 542500 Min: 643500 / Avg: 650228.57 / Max: 655200 Min: 609700 / Avg: 625550 / Max: 636600 Min: 426900 / Avg: 434066.67 / Max: 454300 Min: 676500 / Avg: 692387.5 / Max: 700200
LeelaChessZero LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: OpenCL GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 6K 12K 18K 24K 30K SE +/- 48.50, N = 3 SE +/- 20.08, N = 3 SE +/- 72.01, N = 3 SE +/- 85.05, N = 3 SE +/- 33.40, N = 3 SE +/- 60.47, N = 3 SE +/- 59.70, N = 3 SE +/- 43.62, N = 3 SE +/- 84.56, N = 3 SE +/- 133.47, N = 3 SE +/- 141.13, N = 3 SE +/- 47.37, N = 3 SE +/- 105.50, N = 3 5925 7324 7051 10249 11284 12723 14332 15758 17915 23269 21084 22842 28389 1. (CXX) g++ options: -flto -pthread Nodes Per Second Per Watt
OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better LeelaChessZero 0.26 Backend: OpenCL GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 30 60 90 120 150 55.11 61.33 60.93 67.87 68.81 76.50 77.62 82.87 91.44 94.30 82.37 120.64 103.85 Result Confidence
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: OpenCL GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 5K 10K 15K 20K 25K Min: 5841 / Avg: 5924.67 / Max: 6009 Min: 7297 / Avg: 7323.67 / Max: 7363 Min: 6909 / Avg: 7050.67 / Max: 7144 Min: 10079 / Avg: 10248.67 / Max: 10344 Min: 11235 / Avg: 11284.33 / Max: 11348 Min: 12603 / Avg: 12723 / Max: 12796 Min: 14264 / Avg: 14332 / Max: 14451 Min: 15709 / Avg: 15758 / Max: 15845 Min: 17825 / Avg: 17915 / Max: 18084 Min: 23075 / Avg: 23269.33 / Max: 23525 Min: 20894 / Avg: 21084.33 / Max: 21360 Min: 22758 / Avg: 22841.67 / Max: 22922 Min: 28179 / Avg: 28388.67 / Max: 28514 1. (CXX) g++ options: -flto -pthread
Hashcat Hashcat is an open-source, advanced password recovery tool supporting GPU acceleration with OpenCL, NVIDIA CUDA, and Radeon ROCm. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: 7-Zip GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 200K 400K 600K 800K 1000K SE +/- 915.40, N = 12 SE +/- 2811.01, N = 15 SE +/- 2005.81, N = 11 SE +/- 4365.82, N = 12 SE +/- 2513.28, N = 11 SE +/- 249.73, N = 11 SE +/- 6166.48, N = 15 SE +/- 4180.88, N = 13 SE +/- 6880.46, N = 15 SE +/- 6317.53, N = 10 SE +/- 6837.61, N = 10 SE +/- 558.54, N = 11 SE +/- 2622.40, N = 10 198242 333847 335700 433342 459973 504100 577947 639915 704180 882560 837420 586918 939290 H/s Per Watt
OpenBenchmarking.org H/s Per Watt, More Is Better Hashcat 6.1.1 Benchmark: 7-Zip GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 2K 4K 6K 8K 10K 3824.57 7098.62 8357.97 8031.64 7181.63 8840.46 8523.90 8699.01 9972.83 11015.30 8110.58 9708.43 8221.93 Result Confidence
OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: 7-Zip GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 160K 320K 480K 640K 800K Min: 190900 / Avg: 198241.67 / Max: 200700 Min: 298000 / Avg: 333846.67 / Max: 340000 Min: 322500 / Avg: 335700 / Max: 343300 Min: 393000 / Avg: 433341.67 / Max: 441300 Min: 437400 / Avg: 459972.73 / Max: 467600 Min: 503200 / Avg: 504100 / Max: 506000 Min: 528200 / Avg: 577946.67 / Max: 594900 Min: 605700 / Avg: 639915.38 / Max: 648300 Min: 627300 / Avg: 704180 / Max: 719700 Min: 834600 / Avg: 882560 / Max: 896600 Min: 788100 / Avg: 837420 / Max: 859800 Min: 583000 / Avg: 586918.18 / Max: 589300 Min: 929400 / Avg: 939290 / Max: 957400
IndigoBench This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: OpenCL GPU - Scene: Bedroom GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 4 8 12 16 20 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.008, N = 3 SE +/- 0.001, N = 3 SE +/- 0.009, N = 3 SE +/- 0.008, N = 3 SE +/- 0.005, N = 3 SE +/- 0.014, N = 3 SE +/- 0.009, N = 3 SE +/- 0.002, N = 3 SE +/- 0.024, N = 3 3.547 4.662 4.360 5.534 6.865 7.394 7.677 7.711 7.884 10.913 10.588 11.394 16.595 M samples/s Per Watt
OpenBenchmarking.org M samples/s Per Watt, More Is Better IndigoBench 4.4 Acceleration: OpenCL GPU - Scene: Bedroom GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 0.0158 0.0316 0.0474 0.0632 0.079 0.05 0.05 0.05 0.05 0.05 0.06 0.05 0.05 0.06 0.05 0.05 0.07 0.07 Result Confidence
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: OpenCL GPU - Scene: Bedroom GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 4 8 12 16 20 Min: 3.54 / Avg: 3.55 / Max: 3.55 Min: 4.66 / Avg: 4.66 / Max: 4.67 Min: 4.36 / Avg: 4.36 / Max: 4.36 Min: 5.53 / Avg: 5.53 / Max: 5.54 Min: 6.85 / Avg: 6.87 / Max: 6.88 Min: 7.39 / Avg: 7.39 / Max: 7.4 Min: 7.66 / Avg: 7.68 / Max: 7.69 Min: 7.7 / Avg: 7.71 / Max: 7.73 Min: 7.87 / Avg: 7.88 / Max: 7.89 Min: 10.9 / Avg: 10.91 / Max: 10.94 Min: 10.58 / Avg: 10.59 / Max: 10.61 Min: 11.39 / Avg: 11.39 / Max: 11.4 Min: 16.55 / Avg: 16.6 / Max: 16.63
Hashcat Hashcat is an open-source, advanced password recovery tool supporting GPU acceleration with OpenCL, NVIDIA CUDA, and Radeon ROCm. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: MD5 GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 12000M 24000M 36000M 48000M 60000M SE +/- 29398291.17, N = 7 SE +/- 46882020.11, N = 7 SE +/- 40766579.62, N = 7 SE +/- 34176226.97, N = 7 SE +/- 41830567.71, N = 7 SE +/- 181560574.59, N = 7 SE +/- 41495700.95, N = 7 SE +/- 109307854.28, N = 7 SE +/- 63553325.94, N = 7 SE +/- 98630343.33, N = 7 SE +/- 147390714.04, N = 7 SE +/- 53297878.10, N = 7 SE +/- 102079526.49, N = 7 12897400000 17997700000 18354814286 25730414286 27434614286 29996671429 35026971429 38581728571 42565700000 55740728571 53086314286 32992000000 54030314286 H/s Per Watt
OpenBenchmarking.org H/s Per Watt, More Is Better Hashcat 6.1.1 Benchmark: MD5 GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 80M 160M 240M 320M 400M 184587919.24 244831690.71 286208945.71 278488631.45 275454497.06 313223916.56 288952169.21 322401428.48 311117905.89 396354718.56 341784951.41 311715797.43 311017484.35 Result Confidence
OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: MD5 GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 10000M 20000M 30000M 40000M 50000M Min: 12818400000 / Avg: 12897400000 / Max: 12997600000 Min: 17775000000 / Avg: 17997700000 / Max: 18184700000 Min: 18180700000 / Avg: 18354814285.71 / Max: 18471900000 Min: 25603300000 / Avg: 25730414285.71 / Max: 25884700000 Min: 27276600000 / Avg: 27434614285.71 / Max: 27547200000 Min: 28933000000 / Avg: 29996671428.57 / Max: 30282500000 Min: 34913000000 / Avg: 35026971428.57 / Max: 35210500000 Min: 38269600000 / Avg: 38581728571.43 / Max: 39045100000 Min: 42300300000 / Avg: 42565700000 / Max: 42770800000 Min: 55433200000 / Avg: 55740728571.43 / Max: 56126500000 Min: 52488500000 / Avg: 53086314285.71 / Max: 53694900000 Min: 32727200000 / Avg: 32992000000 / Max: 33174300000 Min: 53805600000 / Avg: 54030314285.71 / Max: 54436200000
PlaidML This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 200 400 600 800 1000 SE +/- 0.32, N = 4 SE +/- 0.24, N = 4 SE +/- 0.27, N = 5 SE +/- 0.32, N = 5 SE +/- 0.34, N = 5 SE +/- 0.20, N = 5 SE +/- 0.88, N = 6 SE +/- 0.60, N = 5 SE +/- 0.40, N = 6 SE +/- 0.56, N = 6 SE +/- 1.90, N = 6 SE +/- 0.90, N = 6 SE +/- 2.17, N = 6 226.15 296.82 299.07 389.45 416.15 447.06 498.24 544.72 587.72 747.50 718.51 686.66 975.56 FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better PlaidML FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 3 6 9 12 15 3.48 4.78 5.14 5.10 4.99 6.12 6.03 6.18 7.04 7.71 6.56 9.36 8.30 Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 200 400 600 800 1000 Min: 225.52 / Avg: 226.15 / Max: 227.02 Min: 296.21 / Avg: 296.82 / Max: 297.31 Min: 298.26 / Avg: 299.07 / Max: 299.74 Min: 388.43 / Avg: 389.45 / Max: 390.16 Min: 415.17 / Avg: 416.15 / Max: 417.04 Min: 446.35 / Avg: 447.06 / Max: 447.42 Min: 494.9 / Avg: 498.24 / Max: 500.2 Min: 543.08 / Avg: 544.72 / Max: 546.46 Min: 586.39 / Avg: 587.72 / Max: 589.13 Min: 745.18 / Avg: 747.5 / Max: 748.78 Min: 713.74 / Avg: 718.51 / Max: 725.6 Min: 684.22 / Avg: 686.66 / Max: 690.33 Min: 966.08 / Avg: 975.56 / Max: 978.91
Meta Performance Per Watts OpenBenchmarking.org Performance Per Watts, More Is Better Meta Performance Per Watts Performance Per Watts GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 2K 4K 6K 8K 10K 2331.46 3523.29 3346.52 4332.55 4907.67 5278.84 5749.58 5999.92 6419.10 8097.45 7834.12 6912.71 10055.70
clpeak Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org GBPS, More Is Better clpeak OpenCL Test: Global Memory Bandwidth GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 140 280 420 560 700 SE +/- 0.06, N = 10 SE +/- 1.52, N = 12 SE +/- 0.45, N = 12 SE +/- 1.44, N = 15 SE +/- 0.50, N = 13 SE +/- 0.21, N = 15 SE +/- 2.10, N = 14 SE +/- 0.09, N = 13 SE +/- 0.07, N = 15 SE +/- 3.38, N = 12 SE +/- 2.39, N = 13 SE +/- 0.15, N = 15 SE +/- 4.38, N = 12 147.51 273.92 222.01 275.12 348.06 368.84 367.04 368.91 405.77 502.73 484.40 389.02 633.34 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL GBPS Per Watt
OpenBenchmarking.org GBPS Per Watt, More Is Better clpeak OpenCL Test: Global Memory Bandwidth GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 2 4 6 8 10 3.39 6.37 5.87 5.51 6.62 8.09 6.50 6.32 7.19 5.98 6.13 7.45 6.21 Result Confidence
OpenBenchmarking.org GBPS, More Is Better clpeak OpenCL Test: Global Memory Bandwidth GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 110 220 330 440 550 Min: 147.09 / Avg: 147.51 / Max: 147.82 Min: 262.59 / Avg: 273.92 / Max: 276.73 Min: 220.15 / Avg: 222.01 / Max: 225.43 Min: 255.43 / Avg: 275.12 / Max: 277.41 Min: 345.79 / Avg: 348.06 / Max: 352.88 Min: 366.21 / Avg: 368.84 / Max: 369.33 Min: 340.36 / Avg: 367.04 / Max: 369.9 Min: 368.02 / Avg: 368.91 / Max: 369.26 Min: 404.86 / Avg: 405.77 / Max: 405.98 Min: 475.15 / Avg: 502.73 / Max: 509.26 Min: 470.15 / Avg: 484.4 / Max: 501.89 Min: 386.92 / Avg: 389.02 / Max: 389.29 Min: 602.21 / Avg: 633.34 / Max: 650.49 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL
IndigoBench This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: OpenCL GPU - Scene: Supercar GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 10 20 30 40 50 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.09, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.13, N = 3 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 SE +/- 0.23, N = 3 10.28 15.24 14.30 18.25 21.67 23.43 24.49 24.83 25.48 33.19 31.76 33.52 43.59 M samples/s Per Watt
OpenBenchmarking.org M samples/s Per Watt, More Is Better IndigoBench 4.4 Acceleration: OpenCL GPU - Scene: Supercar GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 0.0518 0.1036 0.1554 0.2072 0.259 0.16 0.16 0.18 0.17 0.17 0.18 0.18 0.18 0.18 0.17 0.15 0.23 0.19 Result Confidence
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.4 Acceleration: OpenCL GPU - Scene: Supercar GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 9 18 27 36 45 Min: 10.27 / Avg: 10.28 / Max: 10.3 Min: 15.19 / Avg: 15.24 / Max: 15.3 Min: 14.3 / Avg: 14.3 / Max: 14.32 Min: 18.24 / Avg: 18.25 / Max: 18.26 Min: 21.54 / Avg: 21.67 / Max: 21.84 Min: 23.4 / Avg: 23.43 / Max: 23.45 Min: 24.48 / Avg: 24.49 / Max: 24.51 Min: 24.81 / Avg: 24.83 / Max: 24.84 Min: 25.33 / Avg: 25.48 / Max: 25.57 Min: 32.94 / Avg: 33.19 / Max: 33.32 Min: 31.53 / Avg: 31.76 / Max: 32 Min: 33.47 / Avg: 33.52 / Max: 33.57 Min: 43.16 / Avg: 43.59 / Max: 43.93
Geekbench This is a benchmark of Geekbench 5 Pro. The test profile automates the execution of Geekbench 5 under the Phoronix Test Suite, assuming you have a valid license key for Geekbench 5 Pro. This test will not work without a valid license key for Geekbench Pro. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org Score, More Is Better Geekbench 5 Test: GPU Vulkan GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 30K 60K 90K 120K 150K SE +/- 331.69, N = 3 SE +/- 423.81, N = 3 SE +/- 734.49, N = 3 SE +/- 820.21, N = 3 SE +/- 343.85, N = 3 SE +/- 421.33, N = 3 SE +/- 1315.57, N = 3 SE +/- 1128.61, N = 3 SE +/- 1145.26, N = 8 SE +/- 1281.91, N = 15 SE +/- 1193.73, N = 15 SE +/- 923.31, N = 15 SE +/- 1286.56, N = 15 37844 60351 59063 72689 75750 85125 96082 98487 108359 132489 128003 112321 158724 Score Per Watt
OpenBenchmarking.org Score Per Watt, More Is Better Geekbench 5 Test: GPU Vulkan GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 400 800 1200 1600 2000 715.07 1126.66 1281.07 1275.01 1116.65 1608.47 1469.22 1362.74 1486.19 1592.92 1301.46 1806.21 1502.88 Result Confidence
OpenBenchmarking.org Score, More Is Better Geekbench 5 Test: GPU Vulkan GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 30K 60K 90K 120K 150K Min: 37212 / Avg: 37843.67 / Max: 38335 Min: 59611 / Avg: 60350.67 / Max: 61079 Min: 57969 / Avg: 59063 / Max: 60459 Min: 71109 / Avg: 72689 / Max: 73861 Min: 75325 / Avg: 75750.33 / Max: 76431 Min: 84421 / Avg: 85124.67 / Max: 85878 Min: 93661 / Avg: 96081.67 / Max: 98185 Min: 96565 / Avg: 98486.67 / Max: 100473 Min: 101772 / Avg: 108359 / Max: 111665 Min: 125372 / Avg: 132488.67 / Max: 139306 Min: 118188 / Avg: 128003.33 / Max: 134916 Min: 103150 / Avg: 112321.27 / Max: 116414 Min: 150277 / Avg: 158724.13 / Max: 167398
cl-mem A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Write GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 130 260 390 520 650 SE +/- 0.36, N = 5 SE +/- 1.33, N = 7 SE +/- 0.26, N = 6 SE +/- 0.38, N = 7 SE +/- 0.28, N = 7 SE +/- 0.27, N = 8 SE +/- 1.89, N = 7 SE +/- 1.71, N = 8 SE +/- 2.08, N = 8 SE +/- 1.82, N = 8 SE +/- 1.51, N = 8 SE +/- 0.03, N = 8 SE +/- 2.78, N = 9 147.4 230.0 207.4 251.2 311.8 328.4 313.9 334.2 344.1 445.4 456.0 383.6 615.3 1. (CC) gcc options: -O2 -flto -lOpenCL GB/s Per Watt
OpenBenchmarking.org GB/s Per Watt, More Is Better cl-mem 2017-01-13 Benchmark: Write GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 1.089 2.178 3.267 4.356 5.445 2.74 3.37 3.58 3.63 3.80 4.43 3.66 3.96 4.31 3.91 3.90 4.84 4.53 Result Confidence
OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Write GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 110 220 330 440 550 Min: 146.4 / Avg: 147.38 / Max: 148.2 Min: 226 / Avg: 230.01 / Max: 234.6 Min: 206.8 / Avg: 207.38 / Max: 208.3 Min: 249.9 / Avg: 251.19 / Max: 252.5 Min: 310.7 / Avg: 311.77 / Max: 312.9 Min: 327.3 / Avg: 328.38 / Max: 329.5 Min: 305.2 / Avg: 313.91 / Max: 318.1 Min: 326.3 / Avg: 334.23 / Max: 338.7 Min: 332.4 / Avg: 344.13 / Max: 348.9 Min: 433.7 / Avg: 445.35 / Max: 449.5 Min: 450.8 / Avg: 456 / Max: 463.1 Min: 383.5 / Avg: 383.63 / Max: 383.7 Min: 594.3 / Avg: 615.33 / Max: 620.4 1. (CC) gcc options: -O2 -flto -lOpenCL
Hashcat Hashcat is an open-source, advanced password recovery tool supporting GPU acceleration with OpenCL, NVIDIA CUDA, and Radeon ROCm. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: SHA1 GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 4000M 8000M 12000M 16000M 20000M SE +/- 6046717.22, N = 7 SE +/- 10473604.66, N = 7 SE +/- 43107894.32, N = 15 SE +/- 12096446.32, N = 7 SE +/- 13942803.47, N = 7 SE +/- 9114520.82, N = 7 SE +/- 7407910.83, N = 7 SE +/- 10928839.09, N = 7 SE +/- 40239943.60, N = 7 SE +/- 26687552.20, N = 7 SE +/- 31084579.96, N = 6 SE +/- 8294912.79, N = 7 SE +/- 36837886.26, N = 7 4402442857 6178314286 6219960000 8158285714 8747071429 9558914286 10984400000 12195000000 13467714286 17840385714 16935833333 11091171429 18345528571 H/s Per Watt
OpenBenchmarking.org H/s Per Watt, More Is Better Hashcat 6.1.1 Benchmark: SHA1 GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 30M 60M 90M 120M 150M 60925712.57 85534112.72 94836299.42 89207530.62 84129215.91 97164967.49 94385776.10 96128268.62 102514995.64 121618842.58 104602759.10 103115175.84 100535705.76 Result Confidence
OpenBenchmarking.org H/s, More Is Better Hashcat 6.1.1 Benchmark: SHA1 GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 3000M 6000M 9000M 12000M 15000M Min: 4390300000 / Avg: 4402442857.14 / Max: 4429500000 Min: 6149700000 / Avg: 6178314285.71 / Max: 6236100000 Min: 5624200000 / Avg: 6219960000 / Max: 6310600000 Min: 8121900000 / Avg: 8158285714.29 / Max: 8206700000 Min: 8709200000 / Avg: 8747071428.57 / Max: 8791200000 Min: 9520800000 / Avg: 9558914285.71 / Max: 9583800000 Min: 10942300000 / Avg: 10984400000 / Max: 10999600000 Min: 12149800000 / Avg: 12195000000 / Max: 12239500000 Min: 13324200000 / Avg: 13467714285.71 / Max: 13645100000 Min: 17765100000 / Avg: 17840385714.29 / Max: 17945800000 Min: 16805800000 / Avg: 16935833333.33 / Max: 17026200000 Min: 11062600000 / Avg: 11091171428.57 / Max: 11126900000 Min: 18221600000 / Avg: 18345528571.43 / Max: 18457100000
cl-mem A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Read GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 140 280 420 560 700 SE +/- 0.02, N = 5 SE +/- 1.52, N = 7 SE +/- 0.50, N = 6 SE +/- 0.07, N = 7 SE +/- 0.23, N = 7 SE +/- 0.10, N = 8 SE +/- 1.82, N = 7 SE +/- 1.61, N = 8 SE +/- 2.29, N = 8 SE +/- 3.54, N = 8 SE +/- 2.07, N = 8 SE +/- 0.06, N = 8 SE +/- 5.82, N = 9 152.8 293.5 235.4 297.3 372.2 396.7 394.2 394.1 434.4 540.7 514.5 393.5 634.1 1. (CC) gcc options: -O2 -flto -lOpenCL GB/s Per Watt
OpenBenchmarking.org GB/s Per Watt, More Is Better cl-mem 2017-01-13 Benchmark: Read GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 1.1948 2.3896 3.5844 4.7792 5.974 2.82 4.27 4.09 4.15 4.41 5.22 4.50 4.55 5.31 5.01 4.27 5.02 4.62 Result Confidence
OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Read GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 110 220 330 440 550 Min: 152.7 / Avg: 152.76 / Max: 152.8 Min: 287.2 / Avg: 293.46 / Max: 296.7 Min: 234 / Avg: 235.42 / Max: 236.9 Min: 297.1 / Avg: 297.31 / Max: 297.5 Min: 371.3 / Avg: 372.17 / Max: 373.1 Min: 396.5 / Avg: 396.73 / Max: 397.1 Min: 384.1 / Avg: 394.24 / Max: 397 Min: 386.5 / Avg: 394.13 / Max: 397.1 Min: 419.4 / Avg: 434.4 / Max: 437.8 Min: 518.2 / Avg: 540.68 / Max: 546 Min: 504.9 / Avg: 514.45 / Max: 521.2 Min: 393.1 / Avg: 393.49 / Max: 393.6 Min: 605.9 / Avg: 634.08 / Max: 650.7 1. (CC) gcc options: -O2 -flto -lOpenCL
RealSR-NCNN RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: Yes GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 30 60 90 120 150 SE +/- 0.24, N = 3 SE +/- 0.11, N = 3 SE +/- 0.17, N = 3 SE +/- 0.26, N = 3 SE +/- 0.34, N = 3 SE +/- 0.43, N = 3 SE +/- 0.18, N = 3 SE +/- 0.31, N = 3 SE +/- 0.14, N = 3 SE +/- 0.16, N = 3 SE +/- 0.18, N = 3 SE +/- 0.07, N = 3 SE +/- 0.17, N = 3 144.63 120.91 123.85 86.60 80.59 74.81 63.75 60.10 54.78 44.73 45.55 52.47 35.72 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: Yes GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 30 60 90 120 150 Min: 144.16 / Avg: 144.63 / Max: 144.98 Min: 120.69 / Avg: 120.91 / Max: 121.05 Min: 123.54 / Avg: 123.85 / Max: 124.14 Min: 86.09 / Avg: 86.6 / Max: 86.96 Min: 79.9 / Avg: 80.59 / Max: 80.93 Min: 73.96 / Avg: 74.81 / Max: 75.39 Min: 63.43 / Avg: 63.75 / Max: 64.03 Min: 59.48 / Avg: 60.1 / Max: 60.5 Min: 54.52 / Avg: 54.78 / Max: 54.99 Min: 44.42 / Avg: 44.72 / Max: 44.95 Min: 45.2 / Avg: 45.55 / Max: 45.8 Min: 52.34 / Avg: 52.47 / Max: 52.57 Min: 35.53 / Avg: 35.72 / Max: 36.07
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: vgg16 GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 5 10 15 20 25 SE +/- 0.04, N = 3 SE +/- 0.04, N = 15 SE +/- 0.14, N = 3 SE +/- 0.05, N = 15 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 15 SE +/- 0.06, N = 15 SE +/- 0.04, N = 15 SE +/- 0.03, N = 15 SE +/- 0.04, N = 3 SE +/- 0.07, N = 12 18.54 13.97 15.09 10.32 9.85 8.96 8.20 7.69 7.44 5.68 6.28 6.02 4.71 MIN: 17.62 / MAX: 31.07 MIN: 11.92 / MAX: 39.63 MIN: 12.16 / MAX: 32.96 MIN: 9.24 / MAX: 31.92 MIN: 8.27 / MAX: 27.4 MIN: 7.8 / MAX: 24.64 MIN: 6.99 / MAX: 25.35 MIN: 6.57 / MAX: 26.43 MIN: 6.29 / MAX: 26.19 MIN: 5 / MAX: 27.84 MIN: 4.88 / MAX: 25.09 MIN: 5.48 / MAX: 23.38 MIN: 4 / MAX: 20.55 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: vgg16 GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 5 10 15 20 25 Min: 18.46 / Avg: 18.54 / Max: 18.61 Min: 13.7 / Avg: 13.97 / Max: 14.16 Min: 14.85 / Avg: 15.09 / Max: 15.35 Min: 10.03 / Avg: 10.32 / Max: 10.65 Min: 9.64 / Avg: 9.85 / Max: 9.96 Min: 8.85 / Avg: 8.96 / Max: 9.09 Min: 8.14 / Avg: 8.2 / Max: 8.28 Min: 7.47 / Avg: 7.69 / Max: 8.05 Min: 7.08 / Avg: 7.44 / Max: 7.85 Min: 5.39 / Avg: 5.68 / Max: 6.11 Min: 6.09 / Avg: 6.28 / Max: 6.5 Min: 5.96 / Avg: 6.02 / Max: 6.09 Min: 4.36 / Avg: 4.71 / Max: 5.34 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
VkFFT VkFFT is a Fast Fourier Transform (FFT) Library that is GPU accelerated by means of the Vulkan API. The VkFFT benchmark runs FFT performance differences of many different sizes before returning an overall benchmark score. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 2020-09-29 GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 11K 22K 33K 44K 55K SE +/- 4.67, N = 3 SE +/- 34.18, N = 3 SE +/- 14.84, N = 3 SE +/- 27.14, N = 3 SE +/- 51.26, N = 3 SE +/- 10.04, N = 3 SE +/- 58.08, N = 3 SE +/- 62.43, N = 3 SE +/- 53.90, N = 3 SE +/- 82.79, N = 3 SE +/- 118.84, N = 3 SE +/- 25.15, N = 3 SE +/- 166.79, N = 3 12788 18450 17097 20883 24975 26600 27682 28564 30720 37384 36933 32065 49631 Benchmark Score Per Watt
OpenBenchmarking.org Benchmark Score Per Watt, More Is Better VkFFT 2020-09-29 GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 70 140 210 280 350 188.54 227.18 241.67 235.12 250.53 286.99 264.03 253.77 281.33 287.99 261.32 328.58 329.04 Result Confidence
OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 2020-09-29 GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 9K 18K 27K 36K 45K Min: 12781 / Avg: 12788.33 / Max: 12797 Min: 18410 / Avg: 18450 / Max: 18518 Min: 17073 / Avg: 17096.67 / Max: 17124 Min: 20835 / Avg: 20882.67 / Max: 20929 Min: 24915 / Avg: 24975 / Max: 25077 Min: 26587 / Avg: 26600.33 / Max: 26620 Min: 27588 / Avg: 27681.67 / Max: 27788 Min: 28459 / Avg: 28564 / Max: 28675 Min: 30612 / Avg: 30719.67 / Max: 30778 Min: 37219 / Avg: 37383.67 / Max: 37481 Min: 36721 / Avg: 36933.33 / Max: 37132 Min: 32028 / Avg: 32065 / Max: 32113 Min: 49453 / Avg: 49630.67 / Max: 49964
PlaidML This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 600 1200 1800 2400 3000 SE +/- 1.55, N = 7 SE +/- 3.18, N = 7 SE +/- 1.27, N = 8 SE +/- 3.21, N = 8 SE +/- 3.27, N = 8 SE +/- 2.41, N = 9 SE +/- 6.37, N = 9 SE +/- 3.83, N = 8 SE +/- 3.49, N = 8 SE +/- 8.40, N = 9 SE +/- 5.99, N = 9 SE +/- 2.49, N = 8 SE +/- 9.67, N = 9 778.99 1075.07 985.97 1282.52 1509.02 1580.07 1707.65 1714.00 1831.76 2405.89 2394.82 1875.83 2995.56 FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better PlaidML FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 7 14 21 28 35 14.09 19.70 20.91 21.49 23.51 25.24 25.09 24.69 28.11 29.90 26.40 31.55 29.90 Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 500 1000 1500 2000 2500 Min: 773.27 / Avg: 778.99 / Max: 784.56 Min: 1064.92 / Avg: 1075.07 / Max: 1087.55 Min: 980.87 / Avg: 985.97 / Max: 991.2 Min: 1271.28 / Avg: 1282.52 / Max: 1297.95 Min: 1489.78 / Avg: 1509.02 / Max: 1517.64 Min: 1567.09 / Avg: 1580.07 / Max: 1591.05 Min: 1678.18 / Avg: 1707.65 / Max: 1727.65 Min: 1700.29 / Avg: 1714 / Max: 1725.88 Min: 1813.59 / Avg: 1831.76 / Max: 1842.59 Min: 2357.86 / Avg: 2405.89 / Max: 2436.76 Min: 2357.84 / Avg: 2394.82 / Max: 2416 Min: 1866.17 / Avg: 1875.83 / Max: 1883.4 Min: 2946.08 / Avg: 2995.56 / Max: 3029.89
Result
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 800 1600 2400 3200 4000 SE +/- 1.08, N = 7 SE +/- 4.66, N = 7 SE +/- 1.98, N = 8 SE +/- 20.43, N = 15 SE +/- 9.97, N = 8 SE +/- 3.85, N = 8 SE +/- 11.50, N = 8 SE +/- 7.50, N = 8 SE +/- 7.43, N = 8 SE +/- 9.32, N = 8 SE +/- 19.10, N = 8 SE +/- 1.48, N = 8 SE +/- 17.78, N = 8 982.70 1371.10 1351.92 1696.45 1952.07 2008.99 2297.00 2340.01 2480.88 3227.21 3284.45 2439.19 3725.40 FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 11 22 33 44 55 19.85 28.53 33.03 33.14 34.95 41.22 36.78 36.24 43.27 49.67 41.53 45.66 43.22 Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 600 1200 1800 2400 3000 Min: 979.09 / Avg: 982.7 / Max: 987.95 Min: 1358.44 / Avg: 1371.1 / Max: 1392.94 Min: 1343 / Avg: 1351.92 / Max: 1362.31 Min: 1413.29 / Avg: 1696.45 / Max: 1731.21 Min: 1924.55 / Avg: 1952.07 / Max: 1992.16 Min: 1986.64 / Avg: 2008.99 / Max: 2018.73 Min: 2235.13 / Avg: 2297 / Max: 2322.19 Min: 2298.05 / Avg: 2340.01 / Max: 2357.55 Min: 2441.65 / Avg: 2480.88 / Max: 2500.51 Min: 3194.29 / Avg: 3227.21 / Max: 3278.29 Min: 3213.03 / Avg: 3284.45 / Max: 3367.63 Min: 2432.83 / Avg: 2439.19 / Max: 2445.04 Min: 3653.91 / Avg: 3725.4 / Max: 3804.12
MandelGPU MandelGPU is an OpenCL benchmark and this test runs with the OpenCL rendering float4 kernel with a maximum of 4096 iterations. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org Samples/sec, More Is Better MandelGPU 1.3pts1 OpenCL Device: GPU GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 100M 200M 300M 400M 500M SE +/- 458649.89, N = 5 SE +/- 545279.65, N = 7 SE +/- 615153.65, N = 7 SE +/- 387178.22, N = 8 SE +/- 2576635.94, N = 9 SE +/- 1098102.02, N = 8 SE +/- 1273824.38, N = 9 SE +/- 2274447.08, N = 9 SE +/- 1757515.78, N = 9 SE +/- 2727377.34, N = 10 SE +/- 2676982.40, N = 9 SE +/- 552442.28, N = 8 SE +/- 1875555.71, N = 9 128084240.3 198638055.8 197542242.7 247283060.7 262260550.6 280144899.1 316276201.0 341286781.7 363715438.9 446864473.4 443646920.9 278997773.1 401282795.2 1. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL Samples/sec Per Watt
OpenBenchmarking.org Samples/sec Per Watt, More Is Better MandelGPU 1.3pts1 OpenCL Device: GPU GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 900K 1800K 2700K 3600K 4500K 1890713.65 2676263.23 3061658.83 2826824.40 2790140.78 3316968.86 3284888.70 3349006.11 3682880.25 4140168.01 3502262.87 3434300.75 3127589.37 Result Confidence
OpenBenchmarking.org Samples/sec, More Is Better MandelGPU 1.3pts1 OpenCL Device: GPU GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 80M 160M 240M 320M 400M Min: 126500454.5 / Avg: 128084240.26 / Max: 129286724.4 Min: 196944289.8 / Avg: 198638055.79 / Max: 201007827.1 Min: 194882495.5 / Avg: 197542242.73 / Max: 199685950 Min: 245613517.9 / Avg: 247283060.65 / Max: 248841236.2 Min: 243708600.8 / Avg: 262260550.63 / Max: 269853251.7 Min: 277470972.8 / Avg: 280144899.08 / Max: 286503328.6 Min: 311250676.4 / Avg: 316276200.96 / Max: 324129243.4 Min: 330793452.2 / Avg: 341286781.71 / Max: 351390457 Min: 356670350.7 / Avg: 363715438.92 / Max: 371441441.2 Min: 436980116.6 / Avg: 446864473.44 / Max: 466632721.1 Min: 430559584.5 / Avg: 443646920.86 / Max: 454339710.9 Min: 276653957 / Avg: 278997773.05 / Max: 280911117.6 Min: 392013325.3 / Avg: 401282795.17 / Max: 409221222.5 1. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL
clpeak Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org GFLOPS, More Is Better clpeak OpenCL Test: Double-Precision Double GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 110 220 330 440 550 SE +/- 0.30, N = 3 SE +/- 0.26, N = 3 SE +/- 0.50, N = 3 SE +/- 0.32, N = 3 SE +/- 0.38, N = 3 SE +/- 0.79, N = 3 SE +/- 0.34, N = 3 SE +/- 1.04, N = 3 SE +/- 0.26, N = 3 SE +/- 2.16, N = 3 SE +/- 2.49, N = 3 SE +/- 0.58, N = 3 SE +/- 1.61, N = 3 150.15 170.63 173.67 229.29 245.51 267.76 306.51 343.49 373.04 516.53 498.14 302.82 514.40 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL GFLOPS Per Watt
OpenBenchmarking.org GFLOPS Per Watt, More Is Better clpeak OpenCL Test: Double-Precision Double GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 0.9653 1.9306 2.8959 3.8612 4.8265 3.07 2.99 3.67 3.44 3.07 3.79 3.58 3.57 4.29 4.14 3.56 4.04 3.52 Result Confidence
OpenBenchmarking.org GFLOPS, More Is Better clpeak OpenCL Test: Double-Precision Double GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 90 180 270 360 450 Min: 149.68 / Avg: 150.15 / Max: 150.7 Min: 170.1 / Avg: 170.63 / Max: 170.94 Min: 172.98 / Avg: 173.67 / Max: 174.64 Min: 228.64 / Avg: 229.29 / Max: 229.63 Min: 244.85 / Avg: 245.51 / Max: 246.18 Min: 266.84 / Avg: 267.76 / Max: 269.32 Min: 305.83 / Avg: 306.51 / Max: 306.95 Min: 341.5 / Avg: 343.49 / Max: 344.98 Min: 372.67 / Avg: 373.04 / Max: 373.55 Min: 512.55 / Avg: 516.53 / Max: 519.98 Min: 494.65 / Avg: 498.14 / Max: 502.97 Min: 302.1 / Avg: 302.82 / Max: 303.97 Min: 511.19 / Avg: 514.4 / Max: 516.2 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL
FinanceBench FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org ms, Fewer Is Better FinanceBench 2016-06-06 Benchmark: Black-Scholes OpenCL GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 4 8 12 16 20 SE +/- 0.326577, N = 15 SE +/- 0.069806, N = 15 SE +/- 0.162363, N = 15 SE +/- 0.035770, N = 15 SE +/- 0.162802, N = 15 SE +/- 0.009511, N = 14 SE +/- 0.048730, N = 14 SE +/- 0.040260, N = 14 SE +/- 0.083219, N = 15 SE +/- 0.094451, N = 15 SE +/- 0.224039, N = 15 SE +/- 0.027743, N = 15 SE +/- 0.043122, N = 15 13.468000 15.361000 15.525067 12.587000 11.492000 10.263000 8.318000 7.715000 6.912000 6.158000 6.372000 8.374000 4.921000 1. (CXX) g++ options: -O3 -lOpenCL Result Confidence
OpenBenchmarking.org ms, Fewer Is Better FinanceBench 2016-06-06 Benchmark: Black-Scholes OpenCL GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 4 8 12 16 20 Min: 11.76 / Avg: 13.47 / Max: 15.76 Min: 15.2 / Avg: 15.36 / Max: 16.05 Min: 14.42 / Avg: 15.53 / Max: 16.58 Min: 12.54 / Avg: 12.59 / Max: 13.09 Min: 10.55 / Avg: 11.49 / Max: 12.71 Min: 10.24 / Avg: 10.26 / Max: 10.34 Min: 8.23 / Avg: 8.32 / Max: 8.8 Min: 7.64 / Avg: 7.72 / Max: 8.15 Min: 6.8 / Avg: 6.91 / Max: 8.03 Min: 6.02 / Avg: 6.16 / Max: 7.21 Min: 5.78 / Avg: 6.37 / Max: 8.52 Min: 8.31 / Avg: 8.37 / Max: 8.74 Min: 4.83 / Avg: 4.92 / Max: 5.5 1. (CXX) g++ options: -O3 -lOpenCL
ArrayFire ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org ms, Fewer Is Better ArrayFire 3.7 Test: Conjugate Gradient OpenCL GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 1.1302 2.2604 3.3906 4.5208 5.651 SE +/- 0.015, N = 9 SE +/- 0.014, N = 10 SE +/- 0.003, N = 10 SE +/- 0.009, N = 10 SE +/- 0.004, N = 10 SE +/- 0.002, N = 10 SE +/- 0.008, N = 10 SE +/- 0.009, N = 9 SE +/- 0.011, N = 10 SE +/- 0.003, N = 10 SE +/- 0.006, N = 10 SE +/- 0.003, N = 10 SE +/- 0.009, N = 9 5.023 2.670 3.228 2.671 2.198 2.094 2.076 2.094 1.917 1.678 1.756 2.094 1.627 1. (CXX) g++ options: -rdynamic Result Confidence
OpenBenchmarking.org ms, Fewer Is Better ArrayFire 3.7 Test: Conjugate Gradient OpenCL GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 2 4 6 8 10 Min: 5 / Avg: 5.02 / Max: 5.14 Min: 2.63 / Avg: 2.67 / Max: 2.75 Min: 3.22 / Avg: 3.23 / Max: 3.25 Min: 2.65 / Avg: 2.67 / Max: 2.74 Min: 2.18 / Avg: 2.2 / Max: 2.22 Min: 2.08 / Avg: 2.09 / Max: 2.11 Min: 2.06 / Avg: 2.08 / Max: 2.15 Min: 2.07 / Avg: 2.09 / Max: 2.14 Min: 1.9 / Avg: 1.92 / Max: 2 Min: 1.66 / Avg: 1.68 / Max: 1.69 Min: 1.73 / Avg: 1.76 / Max: 1.79 Min: 2.09 / Avg: 2.09 / Max: 2.12 Min: 1.6 / Avg: 1.63 / Max: 1.69 1. (CXX) g++ options: -rdynamic
PlaidML This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 50 100 150 200 250 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 SE +/- 0.20, N = 3 SE +/- 0.16, N = 3 SE +/- 0.09, N = 3 SE +/- 0.24, N = 3 SE +/- 0.16, N = 3 SE +/- 0.21, N = 3 SE +/- 0.27, N = 3 SE +/- 0.22, N = 3 SE +/- 0.38, N = 3 78.97 99.49 93.61 124.27 137.81 148.07 148.55 150.94 159.34 211.01 208.22 177.04 243.50 FPS Per Watt
OpenBenchmarking.org FPS Per Watt, More Is Better PlaidML FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 0.5985 1.197 1.7955 2.394 2.9925 1.49 1.74 1.32 1.49 1.37 1.55 1.46 1.64 2.09 1.65 1.53 2.66 1.94 Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 40 80 120 160 200 Min: 78.97 / Avg: 78.97 / Max: 78.97 Min: 99.43 / Avg: 99.49 / Max: 99.58 Min: 93.37 / Avg: 93.61 / Max: 93.82 Min: 124.13 / Avg: 124.27 / Max: 124.4 Min: 137.56 / Avg: 137.81 / Max: 138.21 Min: 147.88 / Avg: 148.07 / Max: 148.38 Min: 148.37 / Avg: 148.55 / Max: 148.69 Min: 150.53 / Avg: 150.94 / Max: 151.36 Min: 159.07 / Avg: 159.34 / Max: 159.62 Min: 210.79 / Avg: 211.01 / Max: 211.42 Min: 207.75 / Avg: 208.22 / Max: 208.69 Min: 176.68 / Avg: 177.04 / Max: 177.44 Min: 242.74 / Avg: 243.5 / Max: 243.94
RealSR-NCNN RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: No GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 5 10 15 20 25 SE +/- 0.017, N = 3 SE +/- 0.026, N = 3 SE +/- 0.034, N = 3 SE +/- 0.015, N = 4 SE +/- 0.021, N = 4 SE +/- 0.014, N = 4 SE +/- 0.031, N = 5 SE +/- 0.033, N = 5 SE +/- 0.029, N = 5 SE +/- 0.011, N = 6 SE +/- 0.028, N = 6 SE +/- 0.025, N = 5 SE +/- 0.012, N = 6 20.128 17.214 17.733 12.936 12.377 11.537 10.206 9.611 9.031 7.743 8.009 8.633 6.576 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: No GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 5 10 15 20 25 Min: 20.1 / Avg: 20.13 / Max: 20.16 Min: 17.18 / Avg: 17.21 / Max: 17.26 Min: 17.67 / Avg: 17.73 / Max: 17.79 Min: 12.9 / Avg: 12.94 / Max: 12.97 Min: 12.33 / Avg: 12.38 / Max: 12.43 Min: 11.51 / Avg: 11.54 / Max: 11.57 Min: 10.14 / Avg: 10.21 / Max: 10.29 Min: 9.49 / Avg: 9.61 / Max: 9.68 Min: 8.94 / Avg: 9.03 / Max: 9.1 Min: 7.72 / Avg: 7.74 / Max: 7.79 Min: 7.93 / Avg: 8.01 / Max: 8.1 Min: 8.59 / Avg: 8.63 / Max: 8.73 Min: 6.53 / Avg: 6.58 / Max: 6.61
FAHBench FAHBench is a Folding@Home benchmark on the GPU. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org Ns Per Day, More Is Better FAHBench 2.3.2 GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 70 140 210 280 350 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.21, N = 3 SE +/- 0.21, N = 3 SE +/- 0.37, N = 3 SE +/- 0.40, N = 3 SE +/- 0.17, N = 3 SE +/- 0.19, N = 3 SE +/- 0.32, N = 3 SE +/- 0.36, N = 3 SE +/- 1.07, N = 3 SE +/- 0.19, N = 3 SE +/- 0.28, N = 3 101.29 136.08 129.50 180.97 189.08 205.49 227.77 242.55 257.48 300.89 270.68 234.56 306.77 Ns Per Day Per Watt
OpenBenchmarking.org Ns Per Day Per Watt, More Is Better FAHBench 2.3.2 GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 0.4725 0.945 1.4175 1.89 2.3625 1.51 1.63 1.83 1.77 1.73 1.88 1.89 1.80 1.98 1.84 1.66 2.10 1.68 Result Confidence
OpenBenchmarking.org Ns Per Day, More Is Better FAHBench 2.3.2 GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 60 120 180 240 300 Min: 101.26 / Avg: 101.29 / Max: 101.31 Min: 135.9 / Avg: 136.08 / Max: 136.2 Min: 129.1 / Avg: 129.5 / Max: 129.8 Min: 180.63 / Avg: 180.97 / Max: 181.36 Min: 188.7 / Avg: 189.08 / Max: 189.82 Min: 205.04 / Avg: 205.49 / Max: 206.29 Min: 227.42 / Avg: 227.77 / Max: 228 Min: 242.21 / Avg: 242.55 / Max: 242.88 Min: 257.05 / Avg: 257.48 / Max: 258.11 Min: 300.18 / Avg: 300.89 / Max: 301.31 Min: 268.58 / Avg: 270.68 / Max: 272.09 Min: 234.24 / Avg: 234.56 / Max: 234.9 Min: 306.27 / Avg: 306.77 / Max: 307.22
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenCL Particle Filter GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 3 6 9 12 15 SE +/- 0.068, N = 4 SE +/- 0.014, N = 4 SE +/- 0.022, N = 4 SE +/- 0.020, N = 5 SE +/- 0.021, N = 5 SE +/- 0.006, N = 6 SE +/- 0.018, N = 6 SE +/- 0.045, N = 6 SE +/- 0.014, N = 7 SE +/- 0.007, N = 8 SE +/- 0.008, N = 8 SE +/- 0.008, N = 6 SE +/- 0.035, N = 15 12.105 11.617 11.746 9.004 8.656 7.804 6.980 6.355 5.904 4.491 4.805 6.988 4.855 1. (CXX) g++ options: -O2 -lOpenCL Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenCL Particle Filter GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 4 8 12 16 20 Min: 11.98 / Avg: 12.1 / Max: 12.29 Min: 11.59 / Avg: 11.62 / Max: 11.66 Min: 11.71 / Avg: 11.75 / Max: 11.81 Min: 8.95 / Avg: 9 / Max: 9.08 Min: 8.6 / Avg: 8.66 / Max: 8.73 Min: 7.79 / Avg: 7.8 / Max: 7.83 Min: 6.93 / Avg: 6.98 / Max: 7.05 Min: 6.26 / Avg: 6.35 / Max: 6.57 Min: 5.86 / Avg: 5.9 / Max: 5.97 Min: 4.46 / Avg: 4.49 / Max: 4.52 Min: 4.78 / Avg: 4.81 / Max: 4.84 Min: 6.96 / Avg: 6.99 / Max: 7.01 Min: 4.71 / Avg: 4.85 / Max: 5.3 1. (CXX) g++ options: -O2 -lOpenCL
Waifu2x-NCNN Vulkan Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org Seconds, Fewer Is Better Waifu2x-NCNN Vulkan 20200818 Scale: 2x - Denoise: 3 - TAA: Yes GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 3 6 9 12 15 SE +/- 0.036, N = 5 SE +/- 0.026, N = 6 SE +/- 0.030, N = 6 SE +/- 0.029, N = 7 SE +/- 0.030, N = 7 SE +/- 0.022, N = 7 SE +/- 0.028, N = 8 SE +/- 0.020, N = 8 SE +/- 0.020, N = 8 SE +/- 0.021, N = 8 SE +/- 0.023, N = 8 SE +/- 0.032, N = 8 SE +/- 0.028, N = 9 9.251 7.060 7.243 5.792 5.553 5.211 4.769 4.582 4.368 3.835 4.124 4.236 3.519 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Waifu2x-NCNN Vulkan 20200818 Scale: 2x - Denoise: 3 - TAA: Yes GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 3 6 9 12 15 Min: 9.18 / Avg: 9.25 / Max: 9.37 Min: 7 / Avg: 7.06 / Max: 7.18 Min: 7.13 / Avg: 7.24 / Max: 7.34 Min: 5.72 / Avg: 5.79 / Max: 5.95 Min: 5.47 / Avg: 5.55 / Max: 5.71 Min: 5.17 / Avg: 5.21 / Max: 5.34 Min: 4.69 / Avg: 4.77 / Max: 4.95 Min: 4.54 / Avg: 4.58 / Max: 4.72 Min: 4.31 / Avg: 4.37 / Max: 4.5 Min: 3.78 / Avg: 3.84 / Max: 3.98 Min: 4.06 / Avg: 4.12 / Max: 4.27 Min: 4.18 / Avg: 4.24 / Max: 4.46 Min: 3.45 / Avg: 3.52 / Max: 3.73
cl-mem A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Copy GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 70 140 210 280 350 SE +/- 0.28, N = 5 SE +/- 0.69, N = 7 SE +/- 0.27, N = 6 SE +/- 0.08, N = 7 SE +/- 0.37, N = 7 SE +/- 0.06, N = 8 SE +/- 1.07, N = 7 SE +/- 0.81, N = 8 SE +/- 1.13, N = 8 SE +/- 0.85, N = 8 SE +/- 0.44, N = 8 SE +/- 0.09, N = 8 SE +/- 1.91, N = 9 137.8 239.0 197.2 239.0 270.4 284.5 288.2 288.5 298.9 320.8 291.8 298.2 339.9 1. (CC) gcc options: -O2 -flto -lOpenCL GB/s Per Watt
OpenBenchmarking.org GB/s Per Watt, More Is Better cl-mem 2017-01-13 Benchmark: Copy GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 0.8663 1.7326 2.5989 3.4652 4.3315 2.59 3.48 3.49 3.49 3.39 3.82 3.38 3.42 3.77 3.05 2.58 3.85 2.52 Result Confidence
OpenBenchmarking.org GB/s, More Is Better cl-mem 2017-01-13 Benchmark: Copy GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 60 120 180 240 300 Min: 137.2 / Avg: 137.8 / Max: 138.5 Min: 234.9 / Avg: 238.99 / Max: 240.1 Min: 196.5 / Avg: 197.18 / Max: 198.1 Min: 238.8 / Avg: 238.96 / Max: 239.2 Min: 268.8 / Avg: 270.37 / Max: 271.3 Min: 284.3 / Avg: 284.5 / Max: 284.7 Min: 284.7 / Avg: 288.24 / Max: 291.7 Min: 284.8 / Avg: 288.46 / Max: 290.2 Min: 293.8 / Avg: 298.9 / Max: 301.1 Min: 316 / Avg: 320.75 / Max: 323 Min: 290.6 / Avg: 291.81 / Max: 293.6 Min: 297.8 / Avg: 298.2 / Max: 298.6 Min: 330.2 / Avg: 339.89 / Max: 345 1. (CC) gcc options: -O2 -flto -lOpenCL
Blender Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 200 400 600 800 1000 SE +/- 0.11, N = 3 SE +/- 0.67, N = 3 SE +/- 0.18, N = 3 SE +/- 0.17, N = 3 SE +/- 0.20, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.19, N = 3 SE +/- 0.68, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 973.87 476.55 489.37 210.22 209.05 198.24 135.34 135.02 130.28 104.80 114.00 86.20 59.14 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 200 400 600 800 1000 Min: 973.65 / Avg: 973.87 / Max: 974.03 Min: 475.72 / Avg: 476.55 / Max: 477.87 Min: 489.11 / Avg: 489.37 / Max: 489.72 Min: 209.9 / Avg: 210.22 / Max: 210.49 Min: 208.84 / Avg: 209.05 / Max: 209.45 Min: 198.04 / Avg: 198.24 / Max: 198.35 Min: 135.22 / Avg: 135.34 / Max: 135.47 Min: 134.91 / Avg: 135.02 / Max: 135.08 Min: 130.2 / Avg: 130.28 / Max: 130.39 Min: 104.42 / Avg: 104.8 / Max: 105 Min: 112.69 / Avg: 114 / Max: 114.95 Min: 86.08 / Avg: 86.2 / Max: 86.29 Min: 59.03 / Avg: 59.14 / Max: 59.22
Result
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Fishy Cat - Compute: NVIDIA OptiX GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 70 140 210 280 350 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.16, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 344.25 165.55 168.18 68.22 63.22 58.17 48.84 45.98 43.57 33.09 35.12 37.24 22.73 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Fishy Cat - Compute: NVIDIA OptiX GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 60 120 180 240 300 Min: 344.07 / Avg: 344.25 / Max: 344.37 Min: 165.42 / Avg: 165.55 / Max: 165.77 Min: 168.03 / Avg: 168.18 / Max: 168.33 Min: 68.14 / Avg: 68.22 / Max: 68.26 Min: 62.99 / Avg: 63.22 / Max: 63.54 Min: 58.1 / Avg: 58.17 / Max: 58.22 Min: 48.83 / Avg: 48.84 / Max: 48.86 Min: 45.94 / Avg: 45.98 / Max: 46.02 Min: 43.53 / Avg: 43.57 / Max: 43.63 Min: 33.05 / Avg: 33.09 / Max: 33.12 Min: 34.93 / Avg: 35.12 / Max: 35.37 Min: 37.23 / Avg: 37.24 / Max: 37.25 Min: 22.66 / Avg: 22.73 / Max: 22.82
Result
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Classroom - Compute: NVIDIA OptiX GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 120 240 360 480 600 SE +/- 0.04, N = 3 SE +/- 1.38, N = 3 SE +/- 1.47, N = 3 SE +/- 0.33, N = 3 SE +/- 0.30, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.10, N = 3 SE +/- 0.13, N = 3 SE +/- 0.34, N = 3 SE +/- 0.76, N = 3 SE +/- 0.07, N = 3 548.35 270.19 281.98 149.31 154.25 147.16 90.51 87.26 82.60 73.91 82.31 55.95 41.29 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Classroom - Compute: NVIDIA OptiX GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 100 200 300 400 500 Min: 548.31 / Avg: 548.35 / Max: 548.42 Min: 268.5 / Avg: 270.19 / Max: 272.92 Min: 279.38 / Avg: 281.98 / Max: 284.46 Min: 148.65 / Avg: 149.31 / Max: 149.65 Min: 153.66 / Avg: 154.25 / Max: 154.56 Min: 147.11 / Avg: 147.16 / Max: 147.23 Min: 90.41 / Avg: 90.51 / Max: 90.61 Min: 87.04 / Avg: 87.26 / Max: 87.38 Min: 82.43 / Avg: 82.6 / Max: 82.76 Min: 73.66 / Avg: 73.91 / Max: 74.04 Min: 81.67 / Avg: 82.31 / Max: 82.81 Min: 54.43 / Avg: 55.95 / Max: 56.85 Min: 41.17 / Avg: 41.29 / Max: 41.42
clpeak Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org GIOPS, More Is Better clpeak OpenCL Test: Integer Compute INT GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 3K 6K 9K 12K 15K SE +/- 14.65, N = 15 SE +/- 31.94, N = 12 SE +/- 53.45, N = 15 SE +/- 46.67, N = 15 SE +/- 70.14, N = 15 SE +/- 81.80, N = 15 SE +/- 96.07, N = 15 SE +/- 74.73, N = 12 SE +/- 96.25, N = 15 SE +/- 136.49, N = 15 SE +/- 161.08, N = 15 SE +/- 65.69, N = 14 SE +/- 137.97, N = 15 1226.28 4308.23 4443.72 5248.43 6753.79 7134.16 8494.99 9509.30 10455.18 13253.58 13266.22 8290.91 14574.47 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL GIOPS Per Watt
OpenBenchmarking.org GIOPS Per Watt, More Is Better clpeak OpenCL Test: Integer Compute INT GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 30 60 90 120 150 19.39 96.51 112.27 103.54 99.10 120.15 119.43 127.83 152.30 147.86 118.27 128.32 116.90 Result Confidence
OpenBenchmarking.org GIOPS, More Is Better clpeak OpenCL Test: Integer Compute INT GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 3K 6K 9K 12K 15K Min: 1118.33 / Avg: 1226.28 / Max: 1283.36 Min: 4221.51 / Avg: 4308.23 / Max: 4614.5 Min: 4237.13 / Avg: 4443.72 / Max: 4976.07 Min: 5140.65 / Avg: 5248.43 / Max: 5864.87 Min: 6307.99 / Avg: 6753.79 / Max: 7174.87 Min: 6666.59 / Avg: 7134.16 / Max: 7626.04 Min: 7754.92 / Avg: 8494.99 / Max: 9052 Min: 8847.92 / Avg: 9509.3 / Max: 9853.2 Min: 10016.25 / Avg: 10455.18 / Max: 10988.67 Min: 11912.2 / Avg: 13253.58 / Max: 13853.38 Min: 12336.95 / Avg: 13266.22 / Max: 14228.12 Min: 7996.93 / Avg: 8290.91 / Max: 8844.05 Min: 13122.38 / Avg: 14574.47 / Max: 15286.62 1. (CXX) g++ options: -O3 -rdynamic -lOpenCL
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: squeezenet GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 2 4 6 8 10 SE +/- 0.08, N = 3 SE +/- 0.08, N = 15 SE +/- 0.08, N = 3 SE +/- 0.06, N = 15 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 15 SE +/- 0.09, N = 15 SE +/- 0.08, N = 15 SE +/- 0.05, N = 15 SE +/- 0.06, N = 3 SE +/- 0.14, N = 12 7.70 5.35 6.05 4.75 5.41 4.58 4.18 4.29 4.20 3.87 5.05 3.96 4.07 MIN: 6.82 / MAX: 48.71 MIN: 4.46 / MAX: 45.32 MIN: 4.56 / MAX: 53.55 MIN: 4.19 / MAX: 44.66 MIN: 4.02 / MAX: 50.12 MIN: 4.01 / MAX: 44.45 MIN: 3.93 / MAX: 24.5 MIN: 3.78 / MAX: 44.36 MIN: 3.67 / MAX: 44.19 MIN: 3.51 / MAX: 45 MIN: 3.57 / MAX: 45.5 MIN: 3.54 / MAX: 39.83 MIN: 3.22 / MAX: 44.48 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: squeezenet GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 3 6 9 12 15 Min: 7.55 / Avg: 7.7 / Max: 7.82 Min: 4.87 / Avg: 5.35 / Max: 5.82 Min: 5.88 / Avg: 6.05 / Max: 6.15 Min: 4.32 / Avg: 4.75 / Max: 5.2 Min: 5.28 / Avg: 5.41 / Max: 5.48 Min: 4.49 / Avg: 4.58 / Max: 4.66 Min: 4.14 / Avg: 4.18 / Max: 4.23 Min: 3.92 / Avg: 4.29 / Max: 4.79 Min: 3.82 / Avg: 4.2 / Max: 4.83 Min: 3.64 / Avg: 3.87 / Max: 4.76 Min: 4.78 / Avg: 5.05 / Max: 5.33 Min: 3.86 / Avg: 3.96 / Max: 4.07 Min: 3.51 / Avg: 4.07 / Max: 4.89 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 3 6 9 12 15 SE +/- 0.13, N = 3 SE +/- 0.08, N = 15 SE +/- 0.17, N = 3 SE +/- 0.08, N = 15 SE +/- 0.14, N = 3 SE +/- 0.15, N = 3 SE +/- 0.16, N = 3 SE +/- 0.05, N = 15 SE +/- 0.07, N = 15 SE +/- 0.05, N = 15 SE +/- 0.06, N = 15 SE +/- 0.05, N = 3 SE +/- 0.05, N = 12 9.87 8.58 9.30 7.84 8.54 7.27 7.19 7.02 7.07 6.53 7.47 6.56 6.50 MIN: 8.6 / MAX: 40.07 MIN: 7.66 / MAX: 46.65 MIN: 7.65 / MAX: 39.63 MIN: 6.94 / MAX: 43.56 MIN: 6.69 / MAX: 41.56 MIN: 6.66 / MAX: 39.39 MIN: 6.45 / MAX: 39.21 MIN: 6.22 / MAX: 40.65 MIN: 6.15 / MAX: 40.21 MIN: 5.8 / MAX: 39.76 MIN: 5.76 / MAX: 49.68 MIN: 5.89 / MAX: 39.85 MIN: 5.43 / MAX: 43.21 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 3 6 9 12 15 Min: 9.74 / Avg: 9.87 / Max: 10.13 Min: 8.13 / Avg: 8.58 / Max: 9.16 Min: 9.07 / Avg: 9.3 / Max: 9.63 Min: 7.49 / Avg: 7.84 / Max: 8.43 Min: 8.27 / Avg: 8.54 / Max: 8.74 Min: 7.07 / Avg: 7.27 / Max: 7.57 Min: 6.99 / Avg: 7.19 / Max: 7.52 Min: 6.79 / Avg: 7.02 / Max: 7.4 Min: 6.72 / Avg: 7.07 / Max: 7.61 Min: 6.29 / Avg: 6.53 / Max: 6.84 Min: 7.22 / Avg: 7.47 / Max: 7.98 Min: 6.46 / Avg: 6.56 / Max: 6.62 Min: 6.31 / Avg: 6.5 / Max: 6.8 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
ViennaCL ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile uses ViennaCL OpenCL support and runs the included computational benchmark. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org GFLOPS, More Is Better ViennaCL 1.4.2 OpenCL LU Factorization GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 20 40 60 80 100 SE +/- 0.50, N = 11 SE +/- 0.28, N = 11 SE +/- 0.22, N = 11 SE +/- 0.34, N = 11 SE +/- 0.29, N = 11 SE +/- 0.23, N = 11 SE +/- 0.35, N = 11 SE +/- 0.44, N = 11 SE +/- 0.39, N = 12 SE +/- 0.46, N = 12 SE +/- 0.60, N = 11 SE +/- 0.23, N = 12 SE +/- 0.35, N = 15 61.73 68.71 68.61 72.83 72.33 75.09 75.74 76.13 77.11 78.61 76.27 75.83 77.95 1. (CXX) g++ options: -rdynamic -lOpenCL GFLOPS Per Watt
OpenBenchmarking.org GFLOPS Per Watt, More Is Better ViennaCL 1.4.2 OpenCL LU Factorization GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 0.5265 1.053 1.5795 2.106 2.6325 1.58 2.14 2.34 2.03 1.78 2.31 1.77 1.71 1.74 1.85 1.13 1.94 1.20 Result Confidence
OpenBenchmarking.org GFLOPS, More Is Better ViennaCL 1.4.2 OpenCL LU Factorization GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 15 30 45 60 75 Min: 57.7 / Avg: 61.73 / Max: 63.79 Min: 67.29 / Avg: 68.71 / Max: 70.02 Min: 67.25 / Avg: 68.61 / Max: 69.82 Min: 70.53 / Avg: 72.83 / Max: 74.35 Min: 70.68 / Avg: 72.33 / Max: 73.79 Min: 73.9 / Avg: 75.09 / Max: 76.24 Min: 73.76 / Avg: 75.74 / Max: 78.22 Min: 73.77 / Avg: 76.13 / Max: 79.25 Min: 74.59 / Avg: 77.11 / Max: 79.47 Min: 75.61 / Avg: 78.61 / Max: 81.21 Min: 71.15 / Avg: 76.27 / Max: 78.47 Min: 74.5 / Avg: 75.83 / Max: 77.29 Min: 73.65 / Avg: 77.95 / Max: 79.58 1. (CXX) g++ options: -rdynamic -lOpenCL
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 0.5558 1.1116 1.6674 2.2232 2.779 SE +/- 0.13, N = 3 SE +/- 0.05, N = 15 SE +/- 0.13, N = 3 SE +/- 0.06, N = 15 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.12, N = 3 SE +/- 0.04, N = 15 SE +/- 0.05, N = 15 SE +/- 0.04, N = 15 SE +/- 0.07, N = 15 SE +/- 0.01, N = 3 SE +/- 0.07, N = 12 2.47 1.82 2.10 1.81 1.89 1.64 1.71 1.75 1.76 1.64 2.11 1.76 1.98 MIN: 2.28 / MAX: 17.9 MIN: 1.63 / MAX: 22.45 MIN: 1.66 / MAX: 16.77 MIN: 1.61 / MAX: 18.64 MIN: 1.58 / MAX: 9.02 MIN: 1.61 / MAX: 2.65 MIN: 1.55 / MAX: 19.3 MIN: 1.57 / MAX: 17.89 MIN: 1.52 / MAX: 21.3 MIN: 1.53 / MAX: 18.23 MIN: 1.55 / MAX: 19.9 MIN: 1.73 / MAX: 3.1 MIN: 1.65 / MAX: 17.98 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 2 4 6 8 10 Min: 2.31 / Avg: 2.47 / Max: 2.73 Min: 1.66 / Avg: 1.82 / Max: 2.19 Min: 1.89 / Avg: 2.1 / Max: 2.34 Min: 1.65 / Avg: 1.81 / Max: 2.42 Min: 1.85 / Avg: 1.89 / Max: 1.97 Min: 1.63 / Avg: 1.64 / Max: 1.65 Min: 1.57 / Avg: 1.71 / Max: 1.94 Min: 1.62 / Avg: 1.75 / Max: 2.22 Min: 1.54 / Avg: 1.76 / Max: 2.05 Min: 1.57 / Avg: 1.64 / Max: 2.11 Min: 1.85 / Avg: 2.11 / Max: 2.66 Min: 1.75 / Avg: 1.76 / Max: 1.77 Min: 1.78 / Avg: 1.98 / Max: 2.42 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
LuxCoreRender OpenCL OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender OpenCL 2.3 Scene: Rainbow Colors and Prism GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 0.0338 0.0676 0.1014 0.1352 0.169 0.08 0.07 0.07 0.08 0.09 0.10 0.09 0.08 0.08 0.08 0.07 0.15 0.11
Result
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender OpenCL 2.3 Scene: Rainbow Colors and Prism GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 5 10 15 20 25 SE +/- 0.1074070, N = 12 SE +/- 0.0320724, N = 3 SE +/- 0.0048958, N = 3 SE +/- 0.0353073, N = 3 SE +/- 0.0319774, N = 4 SE +/- 0.0543537, N = 4 SE +/- 0.2639327, N = 12 SE +/- 0.1793871, N = 12 SE +/- 0.0522772, N = 3 SE +/- 0.0331742, N = 4 SE +/- 0.0783102, N = 4 SE +/- 0.5108456, N = 15 SE +/- 0.4586334, N = 15 5.3400000 5.5400000 4.7641667 7.8300000 10.4500000 10.9800000 9.8600000 8.9500000 9.0300000 12.0800000 12.1300000 16.8400000 20.8200000 MIN: 1.87 / MAX: 5.68 MIN: 4.4 / MAX: 5.82 MIN: 3.69 / MAX: 4.95 MIN: 6.32 / MAX: 8.15 MIN: 9.04 / MAX: 11.03 MIN: 9.77 / MAX: 11.57 MIN: 3.83 / MAX: 10.58 MIN: 4.35 / MAX: 9.64 MIN: 6.18 / MAX: 9.55 MIN: 9.2 / MAX: 12.83 MIN: 11.08 / MAX: 12.83 MIN: 6.81 / MAX: 18.28 MIN: 11.17 / MAX: 22.47 M samples/sec Per Watt
OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender OpenCL 2.3 Scene: Rainbow Colors and Prism GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 0.0338 0.0676 0.1014 0.1352 0.169 0.08 0.07 0.07 0.08 0.09 0.10 0.09 0.08 0.08 0.08 0.07 0.15 0.11 Result Confidence
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender OpenCL 2.3 Scene: Rainbow Colors and Prism GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 5 10 15 20 25 Min: 4.16 / Avg: 5.34 / Max: 5.47 Min: 5.49 / Avg: 5.54 / Max: 5.6 Min: 4.75 / Avg: 4.76 / Max: 4.77 Min: 7.76 / Avg: 7.83 / Max: 7.89 Min: 10.37 / Avg: 10.45 / Max: 10.52 Min: 10.87 / Avg: 10.98 / Max: 11.13 Min: 6.97 / Avg: 9.86 / Max: 10.24 Min: 6.99 / Avg: 8.95 / Max: 9.23 Min: 8.93 / Avg: 9.03 / Max: 9.09 Min: 12.02 / Avg: 12.08 / Max: 12.17 Min: 11.96 / Avg: 12.13 / Max: 12.34 Min: 9.81 / Avg: 16.84 / Max: 17.67 Min: 14.48 / Avg: 20.82 / Max: 21.7
Result
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender OpenCL 2.3 Scene: Food GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 0.7965 1.593 2.3895 3.186 3.9825 SE +/- 0.01, N = 12 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 12 SE +/- 0.03, N = 12 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 12 SE +/- 0.06, N = 12 0.63 1.05 0.99 1.17 1.17 1.27 1.78 1.79 1.88 2.11 1.99 2.80 3.54 MIN: 0.14 / MAX: 0.76 MIN: 0.21 / MAX: 1.25 MIN: 0.22 / MAX: 1.17 MIN: 0.22 / MAX: 1.39 MIN: 0.21 / MAX: 1.44 MIN: 0.23 / MAX: 1.52 MIN: 0.13 / MAX: 2.23 MIN: 0.17 / MAX: 2.23 MIN: 0.21 / MAX: 2.32 MIN: 0.24 / MAX: 2.63 MIN: 0.21 / MAX: 2.46 MIN: 0.19 / MAX: 3.53 MIN: 0.17 / MAX: 4.48 M samples/sec Per Watt
OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender OpenCL 2.3 Scene: Food GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 0.0045 0.009 0.0135 0.018 0.0225 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.02 0.02 Result Confidence
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender OpenCL 2.3 Scene: Food GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 2 4 6 8 10 Min: 0.48 / Avg: 0.63 / Max: 0.65 Min: 1.04 / Avg: 1.05 / Max: 1.07 Min: 0.97 / Avg: 0.99 / Max: 1.01 Min: 1.15 / Avg: 1.17 / Max: 1.18 Min: 1.15 / Avg: 1.17 / Max: 1.19 Min: 1.27 / Avg: 1.27 / Max: 1.28 Min: 1.33 / Avg: 1.78 / Max: 1.84 Min: 1.46 / Avg: 1.79 / Max: 1.84 Min: 1.85 / Avg: 1.88 / Max: 1.9 Min: 2.1 / Avg: 2.11 / Max: 2.13 Min: 1.97 / Avg: 1.99 / Max: 2 Min: 2.13 / Avg: 2.8 / Max: 2.91 Min: 2.86 / Avg: 3.54 / Max: 3.66
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: blazeface GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 0.1823 0.3646 0.5469 0.7292 0.9115 SE +/- 0.13, N = 3 SE +/- 0.04, N = 15 SE +/- 0.00, N = 3 SE +/- 0.04, N = 15 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 15 SE +/- 0.03, N = 15 SE +/- 0.05, N = 15 SE +/- 0.06, N = 15 SE +/- 0.02, N = 3 SE +/- 0.02, N = 12 0.80 0.64 0.72 0.67 0.72 0.58 0.63 0.61 0.63 0.68 0.81 0.63 0.64 MIN: 0.63 / MAX: 19.93 MIN: 0.56 / MAX: 26.92 MIN: 0.57 / MAX: 6.28 MIN: 0.56 / MAX: 23.74 MIN: 0.55 / MAX: 7.89 MIN: 0.57 / MAX: 0.84 MIN: 0.56 / MAX: 20.82 MIN: 0.54 / MAX: 21.62 MIN: 0.54 / MAX: 27.09 MIN: 0.52 / MAX: 27.01 MIN: 0.51 / MAX: 27.19 MIN: 0.57 / MAX: 9 MIN: 0.51 / MAX: 30.84 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: blazeface GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 2 4 6 8 10 Min: 0.66 / Avg: 0.8 / Max: 1.06 Min: 0.58 / Avg: 0.64 / Max: 1.15 Min: 0.71 / Avg: 0.72 / Max: 0.72 Min: 0.58 / Avg: 0.67 / Max: 1.26 Min: 0.69 / Avg: 0.72 / Max: 0.75 Min: 0.57 / Avg: 0.58 / Max: 0.59 Min: 0.59 / Avg: 0.63 / Max: 0.71 Min: 0.57 / Avg: 0.61 / Max: 0.78 Min: 0.55 / Avg: 0.63 / Max: 0.94 Min: 0.54 / Avg: 0.68 / Max: 1.13 Min: 0.66 / Avg: 0.81 / Max: 1.44 Min: 0.6 / Avg: 0.63 / Max: 0.68 Min: 0.58 / Avg: 0.64 / Max: 0.8 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: googlenet GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 1.1948 2.3896 3.5844 4.7792 5.974 SE +/- 0.10, N = 3 SE +/- 0.07, N = 15 SE +/- 0.15, N = 3 SE +/- 0.06, N = 15 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 15 SE +/- 0.04, N = 15 SE +/- 0.06, N = 15 SE +/- 0.07, N = 15 SE +/- 0.01, N = 3 SE +/- 0.09, N = 12 5.31 3.93 4.33 3.57 4.16 3.43 3.23 3.29 3.12 3.10 3.73 3.44 3.88 MIN: 4.95 / MAX: 24.26 MIN: 3.5 / MAX: 21.95 MIN: 3.53 / MAX: 24.2 MIN: 3.3 / MAX: 22.32 MIN: 3.15 / MAX: 21.29 MIN: 3.19 / MAX: 21.25 MIN: 3.02 / MAX: 18.59 MIN: 3.03 / MAX: 22.52 MIN: 2.89 / MAX: 20.85 MIN: 2.84 / MAX: 21.01 MIN: 2.87 / MAX: 23.31 MIN: 3.41 / MAX: 3.96 MIN: 3.16 / MAX: 22.34 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: googlenet GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 2 4 6 8 10 Min: 5.21 / Avg: 5.31 / Max: 5.5 Min: 3.57 / Avg: 3.93 / Max: 4.42 Min: 4.03 / Avg: 4.33 / Max: 4.53 Min: 3.34 / Avg: 3.57 / Max: 4.07 Min: 4.05 / Avg: 4.16 / Max: 4.27 Min: 3.21 / Avg: 3.43 / Max: 3.56 Min: 3.05 / Avg: 3.23 / Max: 3.44 Min: 3.05 / Avg: 3.29 / Max: 3.57 Min: 2.94 / Avg: 3.12 / Max: 3.42 Min: 2.89 / Avg: 3.1 / Max: 3.58 Min: 3.35 / Avg: 3.73 / Max: 4.2 Min: 3.43 / Avg: 3.44 / Max: 3.45 Min: 3.47 / Avg: 3.88 / Max: 4.49 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 0.4748 0.9496 1.4244 1.8992 2.374 SE +/- 0.09, N = 3 SE +/- 0.04, N = 15 SE +/- 0.16, N = 3 SE +/- 0.06, N = 15 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 15 SE +/- 0.03, N = 15 SE +/- 0.06, N = 15 SE +/- 0.07, N = 15 SE +/- 0.12, N = 3 SE +/- 0.06, N = 12 2.11 1.53 1.84 1.56 1.72 1.54 1.38 1.46 1.37 1.51 1.75 1.74 1.73 MIN: 1.91 / MAX: 19.43 MIN: 1.42 / MAX: 21.24 MIN: 1.44 / MAX: 19.14 MIN: 1.39 / MAX: 19.37 MIN: 1.36 / MAX: 15.12 MIN: 1.38 / MAX: 17.92 MIN: 1.31 / MAX: 5.51 MIN: 1.33 / MAX: 17.85 MIN: 1.28 / MAX: 18.03 MIN: 1.29 / MAX: 18.36 MIN: 1.3 / MAX: 20.67 MIN: 1.5 / MAX: 17.99 MIN: 1.4 / MAX: 22.34 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 2 4 6 8 10 Min: 1.96 / Avg: 2.11 / Max: 2.28 Min: 1.44 / Avg: 1.53 / Max: 1.9 Min: 1.67 / Avg: 1.84 / Max: 2.17 Min: 1.41 / Avg: 1.56 / Max: 2.22 Min: 1.62 / Avg: 1.72 / Max: 1.86 Min: 1.39 / Avg: 1.54 / Max: 1.85 Min: 1.35 / Avg: 1.38 / Max: 1.4 Min: 1.38 / Avg: 1.46 / Max: 1.72 Min: 1.31 / Avg: 1.37 / Max: 1.72 Min: 1.32 / Avg: 1.51 / Max: 2.04 Min: 1.55 / Avg: 1.75 / Max: 2.37 Min: 1.62 / Avg: 1.74 / Max: 1.97 Min: 1.52 / Avg: 1.73 / Max: 2 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet50 GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 2 4 6 8 10 SE +/- 0.15, N = 3 SE +/- 0.04, N = 15 SE +/- 0.07, N = 3 SE +/- 0.06, N = 15 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.24, N = 3 SE +/- 0.07, N = 15 SE +/- 0.07, N = 14 SE +/- 0.08, N = 15 SE +/- 0.08, N = 15 SE +/- 0.09, N = 3 SE +/- 0.07, N = 12 7.62 5.25 6.03 4.43 4.65 3.93 3.84 3.72 3.52 3.30 3.88 3.72 3.51 MIN: 7.05 / MAX: 23.24 MIN: 4.76 / MAX: 22.66 MIN: 4.75 / MAX: 21.46 MIN: 4.07 / MAX: 22.33 MIN: 3.72 / MAX: 21.74 MIN: 3.73 / MAX: 21.52 MIN: 3.47 / MAX: 18.13 MIN: 3.38 / MAX: 22.49 MIN: 3.25 / MAX: 21.15 MIN: 2.94 / MAX: 22.59 MIN: 2.96 / MAX: 22.65 MIN: 3.41 / MAX: 21.31 MIN: 2.98 / MAX: 20.05 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet50 GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 3 6 9 12 15 Min: 7.44 / Avg: 7.62 / Max: 7.91 Min: 4.9 / Avg: 5.25 / Max: 5.54 Min: 5.89 / Avg: 6.03 / Max: 6.1 Min: 4.18 / Avg: 4.43 / Max: 4.99 Min: 4.6 / Avg: 4.65 / Max: 4.72 Min: 3.86 / Avg: 3.93 / Max: 4.08 Min: 3.56 / Avg: 3.84 / Max: 4.31 Min: 3.41 / Avg: 3.72 / Max: 4.39 Min: 3.32 / Avg: 3.52 / Max: 4.3 Min: 2.96 / Avg: 3.3 / Max: 3.88 Min: 3.37 / Avg: 3.88 / Max: 4.28 Min: 3.54 / Avg: 3.72 / Max: 3.81 Min: 3.28 / Avg: 3.51 / Max: 4.17 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Blender Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: BMW27 - Compute: NVIDIA OptiX GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 40 80 120 160 200 SE +/- 3.22, N = 12 SE +/- 0.04, N = 3 SE +/- 2.63, N = 15 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 2.52, N = 15 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 2.61, N = 15 170.15 78.26 83.09 37.35 33.87 31.96 26.41 29.53 26.39 19.83 21.26 18.06 14.96 Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: BMW27 - Compute: NVIDIA OptiX GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 30 60 90 120 150 Min: 166.72 / Avg: 170.15 / Max: 205.6 Min: 78.2 / Avg: 78.26 / Max: 78.34 Min: 80.26 / Avg: 83.09 / Max: 119.93 Min: 37.34 / Avg: 37.35 / Max: 37.37 Min: 33.8 / Avg: 33.87 / Max: 33.99 Min: 31.94 / Avg: 31.96 / Max: 31.98 Min: 26.4 / Avg: 26.41 / Max: 26.41 Min: 26.98 / Avg: 29.53 / Max: 64.75 Min: 26.36 / Avg: 26.39 / Max: 26.42 Min: 19.8 / Avg: 19.83 / Max: 19.87 Min: 21.18 / Avg: 21.26 / Max: 21.36 Min: 18.03 / Avg: 18.06 / Max: 18.1 Min: 12.27 / Avg: 14.96 / Max: 51.52
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 0.4005 0.801 1.2015 1.602 2.0025 SE +/- 0.10, N = 3 SE +/- 0.03, N = 15 SE +/- 0.03, N = 3 SE +/- 0.04, N = 15 SE +/- 0.22, N = 3 SE +/- 0.01, N = 3 SE +/- 0.14, N = 3 SE +/- 0.05, N = 15 SE +/- 0.06, N = 15 SE +/- 0.06, N = 15 SE +/- 0.07, N = 15 SE +/- 0.04, N = 3 SE +/- 0.06, N = 12 1.78 1.33 1.56 1.37 1.63 1.26 1.36 1.37 1.32 1.34 1.62 1.36 1.54 MIN: 1.51 / MAX: 11.8 MIN: 1.24 / MAX: 18.01 MIN: 1.26 / MAX: 21.01 MIN: 1.23 / MAX: 22.22 MIN: 1.21 / MAX: 20.82 MIN: 1.24 / MAX: 1.92 MIN: 1.2 / MAX: 17.51 MIN: 1.21 / MAX: 18.01 MIN: 1.16 / MAX: 20.88 MIN: 1.18 / MAX: 20.07 MIN: 1.19 / MAX: 20.26 MIN: 1.29 / MAX: 15.72 MIN: 1.25 / MAX: 19.9 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 GTX 1060 GTX 1660 SUPER GTX 1660 Ti RTX 2060 RTX 2060 SUPER RTX 2070 RTX 2070 SUPER RTX 2080 RTX 2080 SUPER RTX 2080 Ti TITAN RTX RTX 3060 Ti RTX 3080 2 4 6 8 10 Min: 1.59 / Avg: 1.78 / Max: 1.93 Min: 1.28 / Avg: 1.33 / Max: 1.74 Min: 1.51 / Avg: 1.56 / Max: 1.61 Min: 1.26 / Avg: 1.37 / Max: 1.7 Min: 1.41 / Avg: 1.63 / Max: 2.06 Min: 1.25 / Avg: 1.26 / Max: 1.27 Min: 1.21 / Avg: 1.36 / Max: 1.63 Min: 1.23 / Avg: 1.37 / Max: 2.02 Min: 1.19 / Avg: 1.32 / Max: 1.99 Min: 1.2 / Avg: 1.34 / Max: 2.16 Min: 1.41 / Avg: 1.62 / Max: 2.12 Min: 1.31 / Avg: 1.36 / Max: 1.44 Min: 1.31 / Avg: 1.54 / Max: 1.92 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread