NVIDIA vs. Radeon OpenCL Linux GPU Compute

NVIDIA Linux GPU computing benchmarks by Michael Larabel for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 1901304-SP-1901305SP07
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NVIDIA GPU Compute 5 Tests
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Identifier
Performance Per
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Date
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  Test
  Duration
GTX 1060
January 27 2019
  27 Minutes
GTX 1070
January 25 2019
  23 Minutes
GTX 1070 Ti
January 25 2019
  24 Minutes
GTX 1080
January 25 2019
  23 Minutes
GTX 1080 Ti
January 25 2019
  22 Minutes
RTX 2060
January 27 2019
  23 Minutes
RTX 2070
January 27 2019
  22 Minutes
RTX 2080
January 26 2019
  22 Minutes
RTX 2080 Ti
January 26 2019
  22 Minutes
TITAN RTX
January 26 2019
  22 Minutes
RX 580
January 28 2019
  1 Hour, 3 Minutes
RX 590
January 29 2019
  1 Hour, 1 Minute
RX Vega 56
January 28 2019
  56 Minutes
RX Vega 64
January 28 2019
  53 Minutes
amdocl
January 30 2019
  1 Hour, 1 Minute
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  35 Minutes

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NVIDIA vs. Radeon OpenCL Linux GPU ComputeProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdoclIntel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads)ASUS PRIME Z390-A (0602 BIOS)Intel Cannon Lake PCH Shared SRAM16384MBSamsung SSD 970 EVO 250GB + 2000GB SABRENTNVIDIA GeForce GTX 1080 8GB (1607/5005MHz)Realtek ALC1220Acer B286HKIntel I219-VUbuntu 18.104.20.3-042003-generic (x86_64)GNOME Shell 3.30.1X Server 1.20.1NVIDIA 415.274.6.0OpenCL 1.2 CUDA 10.0.1321.1.84GCC 8.2.0ext43840x2160NVIDIA GeForce GTX 1070 8GB (1506/4006MHz)Zotac NVIDIA GeForce GTX 1070 Ti 8GB (1607/4006MHz)NVIDIA GeForce GTX 1080 Ti 11GB (1480/5508MHz)NVIDIA TITAN RTX 24GB (1350/7000MHz)NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz)Zotac NVIDIA GeForce RTX 2080 8GB (1515/7000MHz)NVIDIA GeForce RTX 2060 6GB (1365/7000MHz)ASUS NVIDIA GeForce RTX 2070 8GB (1410/7000MHz)NVIDIA GeForce GTX 1060 6GB (1506/4006MHz)AMD Radeon RX 64 8GB (1630/945MHz)5.0.0-050000rc4-generic (x86_64) 201901274.5 Mesa 19.0.0-devel padoka PPA (LLVM 9.0.0)OpenCL 2.1 AMD-APP (2783.0)1.1.90AMD Radeon RX 64 8GB (1590/800MHz)MSI AMD Radeon RX 470/480/570/570X/580/580X 8GB (1366/2000MHz)Sapphire AMD Radeon RX 470/480/570/570X/580/580X 8GB (1560/2100MHz)AMD Ryzen 7 2700 Eight-Core @ 3.20GHz (8 Cores / 16 Threads)ASRock X370 Taichi (P5.10 BIOS)AMD Family 17h32768MB1024GB INTEL SSDPEKKW010T7 + Samsung SSD 960 EVO 500GB + 512GB Crucial_CT512M55 + 1000GB SanDisk SDSSDH31 + 2000GB SanDisk SDSSDH32AMD Radeon RX 56/64 8GB (1590/800MHz)AMD Device aaf8SAMSUNGIntel I211Arch rolling4.20.5-zen1-1-zen (x86_64)KDE Plasma 5.14.5X Server 1.20.3amdgpu 18.1.04.5 Mesa 19.0.0-devel (git-69edc972fc) (LLVM 9.0.0)OpenCL 2.1 AMD-APP (2766.4)Clang 7.0.1 + LLVM 7.0.1xfsOpenBenchmarking.orgCompiler Details- GTX 1080: --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v- GTX 1070: --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v- GTX 1070 Ti: --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v- GTX 1080 Ti: --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v- TITAN RTX: --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v- RTX 2080 Ti: --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v- RTX 2080: --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v- RTX 2060: --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v- RTX 2070: --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v- GTX 1060: --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v- RX Vega 64: --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v- RX Vega 56: --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v- RX 580: --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v- RX 590: --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v- amdocl: --disable-libssp --disable-libstdcxx-pch --disable-libunwind-exceptions --disable-werror --enable-__cxa_atexit --enable-cet=auto --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-default-ssp --enable-gnu-indirect-function --enable-gnu-unique-object --enable-install-libiberty --enable-languages=c,c++,ada,fortran,go,lto,objc,obj-c++ --enable-libmpx --enable-lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-isl --with-linker-hash-style=gnuProcessor Details- GTX 1080: Scaling Governor: intel_pstate performance- GTX 1070: Scaling Governor: intel_pstate performance- GTX 1070 Ti: Scaling Governor: intel_pstate performance- GTX 1080 Ti: Scaling Governor: intel_pstate performance- TITAN RTX: Scaling Governor: intel_pstate performance- RTX 2080 Ti: Scaling Governor: intel_pstate performance- RTX 2080: Scaling Governor: intel_pstate performance- RTX 2060: Scaling Governor: intel_pstate performance- RTX 2070: Scaling Governor: intel_pstate performance- GTX 1060: Scaling Governor: intel_pstate performance- RX Vega 64: Scaling Governor: intel_pstate performance- RX Vega 56: Scaling Governor: intel_pstate performance- RX 580: Scaling Governor: intel_pstate performance- RX 590: Scaling Governor: intel_pstate performance- amdocl: Scaling Governor: acpi-cpufreq schedutilOpenCL Details- GTX 1080: GPU Compute Cores: 2560- GTX 1070: GPU Compute Cores: 1920- GTX 1070 Ti: GPU Compute Cores: 2432- GTX 1080 Ti: GPU Compute Cores: 3584- TITAN RTX: GPU Compute Cores: 4608- RTX 2080 Ti: GPU Compute Cores: 4352- RTX 2080: GPU Compute Cores: 2944- RTX 2060: GPU Compute Cores: 1920- RTX 2070: GPU Compute Cores: 2304- GTX 1060: GPU Compute Cores: 1280Python Details- GTX 1080: Python 2.7.15+ + Python 3.6.7- GTX 1070: Python 2.7.15+ + Python 3.6.7- GTX 1070 Ti: Python 2.7.15+ + Python 3.6.7- GTX 1080 Ti: Python 2.7.15+ + Python 3.6.7- TITAN RTX: Python 2.7.15+ + Python 3.6.7- RTX 2080 Ti: Python 2.7.15+ + Python 3.6.7- RTX 2080: Python 2.7.15+ + Python 3.6.7- RTX 2060: Python 2.7.15+ + Python 3.6.7- RTX 2070: Python 2.7.15+ + Python 3.6.7- GTX 1060: Python 2.7.15+ + Python 3.6.7- RX Vega 64: Python 2.7.15+ + Python 3.6.7- RX Vega 56: Python 2.7.15+ + Python 3.6.7- RX 580: Python 2.7.15+ + Python 3.6.7- RX 590: Python 2.7.15+ + Python 3.6.7- amdocl: Python 3.7.2Security Details- GTX 1080: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp- GTX 1070: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp- GTX 1070 Ti: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp- GTX 1080 Ti: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp- TITAN RTX: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp- RTX 2080 Ti: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp- RTX 2080: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp- RTX 2060: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp- RTX 2070: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp- GTX 1060: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp- RX Vega 64: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp- RX Vega 56: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp- RX 580: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp- RX 590: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp- amdocl: __user pointer sanitization + Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + SSB disabled via prctl and seccompKernel Details- amdocl: amdgpu.ppfeaturemask=0xffffffff amdgpu.gpu_recovery=1Graphics Details- amdocl: GLAMOR

GTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdoclResult OverviewPhoronix Test Suite100%203%306%409%LeelaChessZeroLuxMarkcl-memPlaidMLSHOC Scalable HeterOgeneous ComputingclpeakJuliaGPU

NVIDIA vs. Radeon OpenCL Linux GPU Computeluxmark: GPU - Luxball HDRplaidml: Yes - Inference - VGG16 - OpenCLplaidml: No - Training - Mobilenet - OpenCLclpeak: Double-Precision Doubleplaidml: Yes - Inference - Inception V3 - OpenCLplaidml: No - Inference - Inception V3 - OpenCLclpeak: Transfer Bandwidth enqueueWriteBufferclpeak: Transfer Bandwidth enqueueReadBufferlczero: OpenCLplaidml: Yes - Inference - ResNet 50 - OpenCLclpeak: Integer Compute INTplaidml: No - Inference - VGG16 - OpenCLclpeak: Global Memory Bandwidthplaidml: No - Training - IMDB LSTM - OpenCLclpeak: Single-Precision Floatclpeak: Kernel Latencyshoc: OpenCL - Texture Read Bandwidthplaidml: No - Inference - ResNet 50 - OpenCLplaidml: No - Inference - IMDB LSTM - OpenCLplaidml: Yes - Inference - Mobilenet - OpenCLjuliagpu: GPUdarktable: Boat - OpenCLcl-mem: Readcl-mem: Writecl-mem: Copydarktable: Masskrug - OpenCLplaidml: No - Inference - Mobilenet - OpenCLdarktable: Boat - OpenCLdarktable: Masskrug - OpenCLdarktable: Server Room - OpenCLdarktable: Server Room - OpenCLshoc: OpenCL - Triadshoc: OpenCL - FFT SPshoc: OpenCL - MD5 Hashdarktable: Server Rack - OpenCLdarktable: Server Rack - OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl1380313910329713213312.5911.341750264239814322216779343.775272922596862391313242.722292162098013.971.1012.3057514.190.131728712610722411711612.6011.331430237168112919615658783.644472572286642181720622.892051921877643.921.1012.1945310.470.121677612810324212011812.5511.151478237206813119715367763.924332622246452215480162.932051901877554.011.1612.1950111.630.132168219412541516716712.5711.2923333343263189329187108533.995963393307742651628752.263373363178833.871.0312.5197219.680.124602226416054021522912.5811.16327547414848289525244163863.8511585566109773036654471.6456548948313363.690.7412.68155336.280.104278725015651921122512.5911.29310745814906273505246153523.8311735376059713009222411.6454443945412913.690.7512.68144535.130.102914619213334316817212.5211.1322593549952203368216102703.6511214004578932788292381.9239232332710453.780.8112.57108323.740.112135614811323113413312.6011.291484282670515027618866303.6510243093477792516119892.222962452478633.820.8212.4380315.870.112953217913226615715612.4811.251729333778018936519879683.6410773763828302656820461.9339231333010083.680.7512.5798818.420.101225694.6286.9415188.8586.1112.5411.15899183125294.0814513442393.784111941805521837826263.661531391385924.171.3111.932977.280.1332565119.9974.31833120.03119.0644.3116.228562132479137.62362184124696.9642527027958736615943813.721593562228355.324.217.5492216.390.1731079106.6671.23698109.03106.6544.9716.637581951997120.44317178103577.0135522826357534648406413.471513052047205.284.187.5592712.700.171527160.9842.0439276.5969.0544.9715.84640128125265.1820613062024.9721113319356328307885113.541621791844145.304.189.105478.050.171722164.0445.6143682.7175.4144.1915.92683137141668.6921714470694.6924114221859930262344013.961781851934535.454.289.365709.160.1728140108.3675.09689116.49138.7437.9715.7911892151961120.113181591059133.793692622704983127925653403253094.817812.720.7512.4489512.950.09OpenBenchmarking.org

LuxMark

LuxMark is a multi-platform OpenGL benchmark using LuxRender. LuxMark supports targeting different OpenCL devices and has multiple scenes available for rendering. LuxMark is a fully open-source OpenCL program with real-world rendering examples. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: Luxball HDRGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl10K20K30K40K50KSE +/- 42.00, N = 3SE +/- 1.33, N = 3SE +/- 14.90, N = 3SE +/- 8.33, N = 3SE +/- 103.04, N = 3SE +/- 155.67, N = 3SE +/- 25.12, N = 3SE +/- 31.58, N = 3SE +/- 107.00, N = 3SE +/- 46.58, N = 3SE +/- 583.87, N = 3SE +/- 65.67, N = 3SE +/- 17.84, N = 3SE +/- 74.83, N = 3SE +/- 124.42, N = 3138031728716776216824602242787291462135629532122563256531079152711722128140

PlaidML

This test profile uses PlaidML deep learning framework for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl60120180240300SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.32, N = 3SE +/- 0.43, N = 3SE +/- 0.20, N = 3SE +/- 0.32, N = 3SE +/- 0.15, N = 3SE +/- 0.26, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.55, N = 3139.00126.00128.00194.00264.00250.00192.00148.00179.0094.62119.99106.6660.9864.04108.36

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Training - Network: Mobilenet - Device: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl4080120160200SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.18, N = 3SE +/- 0.19, N = 3SE +/- 0.10, N = 3SE +/- 0.21, N = 3SE +/- 0.11, N = 3SE +/- 0.18, N = 3SE +/- 0.03, N = 3SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3103.00107.00103.00125.00160.00156.00133.00113.00132.0086.9474.3171.2342.0445.6175.09

clpeak

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl2004006008001000SE +/- 0.02, N = 3SE +/- 0.26, N = 3SE +/- 0.24, N = 3SE +/- 0.14, N = 3SE +/- 1.29, N = 3SE +/- 1.25, N = 3SE +/- 0.98, N = 3SE +/- 0.60, N = 3SE +/- 0.72, N = 3SE +/- 0.05, N = 3SE +/- 1.09, N = 3SE +/- 1.26, N = 3SE +/- 0.01, N = 3SE +/- 0.21, N = 3SE +/- 1.18, N = 32972242424155405193432312661518336983924366891. (CXX) g++ options: -O3 -rdynamic -lOpenCL

PlaidML

This test profile uses PlaidML deep learning framework for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl50100150200250SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.30, N = 3SE +/- 0.58, N = 3SE +/- 1.30, N = 3SE +/- 0.48, N = 3SE +/- 0.40, N = 3SE +/- 0.44, N = 3SE +/- 0.18, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.34, N = 3132.00117.00120.00167.00215.00211.00168.00134.00157.0088.85120.03109.0376.5982.71116.49

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl50100150200250SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.18, N = 3SE +/- 0.28, N = 3SE +/- 0.53, N = 3SE +/- 0.38, N = 3SE +/- 0.13, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.40, N = 3SE +/- 0.00, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.24, N = 3133.00116.00118.00167.00229.00225.00172.00133.00156.0086.11119.06106.6569.0575.41138.74

clpeak

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Transfer Bandwidth enqueueWriteBufferGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl1020304050SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.22, N = 3SE +/- 0.42, N = 312.5912.6012.5512.5712.5812.5912.5212.6012.4812.5444.3144.9744.9744.1937.971. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Transfer Bandwidth enqueueReadBufferGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl48121620SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.33, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 311.3411.3311.1511.2911.1611.2911.1311.2911.2511.1516.2216.6315.8415.9215.791. (CXX) g++ options: -O3 -rdynamic -lOpenCL

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.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.20.1Backend: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl7001400210028003500SE +/- 32.06, N = 3SE +/- 9.63, N = 3SE +/- 13.26, N = 3SE +/- 25.14, N = 3SE +/- 28.14, N = 3SE +/- 20.98, N = 3SE +/- 22.18, N = 3SE +/- 13.06, N = 3SE +/- 20.57, N = 3SE +/- 6.27, N = 3SE +/- 5.51, N = 3SE +/- 2.66, N = 3SE +/- 2.68, N = 3SE +/- 2.57, N = 3SE +/- 16.88, N = 517501430147823333275310722591484172989985675864068311891. (CXX) g++ options: -lpthread

PlaidML

This test profile uses PlaidML deep learning framework for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl100200300400500SE +/- 0.24, N = 3SE +/- 0.38, N = 3SE +/- 0.16, N = 3SE +/- 0.34, N = 3SE +/- 1.16, N = 3SE +/- 1.03, N = 3SE +/- 0.40, N = 3SE +/- 0.26, N = 3SE +/- 0.76, N = 3SE +/- 0.17, N = 3SE +/- 0.13, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 2.54, N = 3264237237334474458354282333183213195128137215

clpeak

OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl3K6K9K12K15KSE +/- 25.25, N = 3SE +/- 21.00, N = 3SE +/- 6.17, N = 3SE +/- 76.28, N = 3SE +/- 1004.15, N = 3SE +/- 517.75, N = 3SE +/- 679.58, N = 3SE +/- 444.77, N = 3SE +/- 498.12, N = 3SE +/- 38.63, N = 3SE +/- 3.01, N = 3SE +/- 1.32, N = 3SE +/- 0.02, N = 3SE +/- 6.53, N = 3SE +/- 5.46, N = 3239816812068326314848149069952670577801252247919971252141619611. (CXX) g++ options: -O3 -rdynamic -lOpenCL

PlaidML

This test profile uses PlaidML deep learning framework for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl60120180240300SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.72, N = 3SE +/- 0.36, N = 3SE +/- 0.17, N = 3SE +/- 0.16, N = 3SE +/- 0.27, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.18, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3143.00129.00131.00189.00289.00273.00203.00150.00189.0094.08137.62120.4465.1868.69120.11

clpeak

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl110220330440550SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.22, N = 3SE +/- 0.68, N = 3SE +/- 1.70, N = 3SE +/- 0.48, N = 3SE +/- 0.37, N = 3SE +/- 0.19, N = 3SE +/- 2.69, N = 3SE +/- 0.95, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 1.46, N = 3SE +/- 1.82, N = 3SE +/- 0.34, N = 32221961973295255053682763651453623172062173181. (CXX) g++ options: -O3 -rdynamic -lOpenCL

PlaidML

This test profile uses PlaidML deep learning framework for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Training - Network: IMDB LSTM - Device: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl50100150200250SE +/- 0.60, N = 3SE +/- 0.50, N = 3SE +/- 0.03, N = 3SE +/- 0.49, N = 3SE +/- 0.96, N = 3SE +/- 0.72, N = 3SE +/- 0.27, N = 3SE +/- 0.38, N = 3SE +/- 0.82, N = 3SE +/- 0.17, N = 3SE +/- 0.19, N = 3SE +/- 0.24, N = 3SE +/- 0.25, N = 3SE +/- 0.19, N = 3SE +/- 0.57, N = 3167156153187244246216188198134184178130144159

clpeak

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl4K8K12K16K20KSE +/- 396.02, N = 3SE +/- 393.27, N = 3SE +/- 14.43, N = 3SE +/- 782.31, N = 3SE +/- 688.69, N = 3SE +/- 1065.18, N = 3SE +/- 732.21, N = 3SE +/- 657.16, N = 3SE +/- 495.99, N = 3SE +/- 3.56, N = 3SE +/- 41.13, N = 3SE +/- 38.50, N = 3SE +/- 1.21, N = 3SE +/- 15.75, N = 3SE +/- 10.63, N = 379345878677610853163861535210270663079684239124691035762027069105911. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgus, Fewer Is BetterclpeakOpenCL Test: Kernel LatencyGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl816243240SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.24, N = 33.773.643.923.993.853.833.653.653.643.786.967.014.974.6933.791. (CXX) g++ options: -O3 -rdynamic -lOpenCL

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Texture Read BandwidthGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl30060090012001500SE +/- 0.28, N = 3SE +/- 0.82, N = 3SE +/- 0.80, N = 3SE +/- 1.91, N = 3SE +/- 3.52, N = 3SE +/- 1.02, N = 3SE +/- 2.94, N = 3SE +/- 0.24, N = 3SE +/- 1.24, N = 3SE +/- 1.03, N = 3SE +/- 0.60, N = 3SE +/- 0.86, N = 3SE +/- 1.47, N = 3SE +/- 1.57, N = 3SE +/- 1.03, N = 3527447433596115811731121102410774114253552112413691. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

PlaidML

This test profile uses PlaidML deep learning framework for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl120240360480600SE +/- 0.41, N = 3SE +/- 0.45, N = 3SE +/- 0.24, N = 3SE +/- 0.55, N = 3SE +/- 1.67, N = 3SE +/- 0.31, N = 3SE +/- 0.45, N = 3SE +/- 0.26, N = 3SE +/- 0.33, N = 3SE +/- 0.11, N = 3SE +/- 1.40, N = 3SE +/- 2.52, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.31, N = 3292257262339556537400309376194270228133142262

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl130260390520650SE +/- 0.45, N = 3SE +/- 0.21, N = 3SE +/- 0.19, N = 3SE +/- 0.59, N = 3SE +/- 0.76, N = 3SE +/- 2.13, N = 3SE +/- 1.09, N = 3SE +/- 0.31, N = 3SE +/- 0.60, N = 3SE +/- 0.33, N = 3SE +/- 1.42, N = 3SE +/- 0.20, N = 3SE +/- 0.23, N = 3SE +/- 0.63, N = 3SE +/- 0.46, N = 3259228224330610605457347382180279263193218270

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl2004006008001000SE +/- 5.02, N = 3SE +/- 4.06, N = 3SE +/- 3.15, N = 3SE +/- 3.70, N = 3SE +/- 3.45, N = 3SE +/- 2.70, N = 3SE +/- 1.63, N = 3SE +/- 1.27, N = 3SE +/- 1.07, N = 3SE +/- 0.87, N = 3SE +/- 9.53, N = 3SE +/- 6.73, N = 3SE +/- 1.03, N = 3SE +/- 1.00, N = 3SE +/- 5.20, N = 3686664645774977971893779830552587575563599498

JuliaGPU

JuliaGPU is an OpenCL benchmark with this version containing various PTS-specific enhancements. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSamples/sec, More Is BetterJuliaGPU 1.2pts1OpenCL Device: GPUGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl80M160M240M320M400MSE +/- 121634.53, N = 3SE +/- 621591.58, N = 3SE +/- 297139.02, N = 3SE +/- 720633.38, N = 3SE +/- 908628.37, N = 3SE +/- 1417039.09, N = 3SE +/- 1536969.33, N = 3SE +/- 815068.63, N = 3SE +/- 333271.02, N = 3SE +/- 513835.53, N = 3SE +/- 419189.48, N = 3SE +/- 834530.58, N = 3SE +/- 570650.48, N = 3SE +/- 366170.21, N = 3SE +/- 7293118.99, N = 122391313242181720622215480162651628753036654473009222412788292382516119892656820461837826263661594383464840642830788513026234403127925651. (CC) gcc options: -O3 -march=native -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL -lm

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.4.4Test: Boat - Acceleration: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 59048121620SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.722.892.932.261.641.641.922.221.933.6613.7213.4713.5413.96

cl-mem

A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl120240360480600SE +/- 0.18, N = 3SE +/- 0.09, N = 3SE +/- 0.27, N = 3SE +/- 0.52, N = 3SE +/- 0.38, N = 3SE +/- 0.50, N = 3SE +/- 1.81, N = 3SE +/- 0.15, N = 3SE +/- 1.98, N = 3SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.58, N = 3SE +/- 0.54, N = 32292052053375655443922963921531591511621783401. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl110220330440550SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.30, N = 3SE +/- 0.09, N = 3SE +/- 2.45, N = 3SE +/- 1.92, N = 3SE +/- 0.73, N = 3SE +/- 0.95, N = 3SE +/- 0.59, N = 3SE +/- 0.19, N = 3SE +/- 11.23, N = 3SE +/- 0.32, N = 3SE +/- 0.33, N = 3SE +/- 0.10, N = 3SE +/- 0.27, N = 32161921903364894393232453131393563051791853251. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl100200300400500SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.29, N = 3SE +/- 0.17, N = 3SE +/- 0.64, N = 3SE +/- 0.23, N = 3SE +/- 0.35, N = 3SE +/- 0.18, N = 3SE +/- 0.18, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.20, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 32091871873174834543272473301382222041841933091. (CC) gcc options: -O2 -flto -lOpenCL

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.6.0Test: Masskrug - Acceleration: OpenCLamdocl1.08232.16463.24694.32925.4115SE +/- 0.06, N = 34.81

PlaidML

This test profile uses PlaidML deep learning framework for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl30060090012001500SE +/- 0.61, N = 3SE +/- 1.02, N = 3SE +/- 0.31, N = 3SE +/- 4.51, N = 3SE +/- 3.01, N = 3SE +/- 1.39, N = 3SE +/- 0.31, N = 3SE +/- 1.86, N = 3SE +/- 1.43, N = 3SE +/- 3.04, N = 3SE +/- 7.40, N = 3SE +/- 9.70, N = 3SE +/- 0.26, N = 3SE +/- 0.24, N = 3SE +/- 2.78, N = 38017647558831336129110458631008592835720414453781

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.6.0Test: Boat - Acceleration: OpenCLamdocl0.6121.2241.8362.4483.06SE +/- 0.01, N = 32.72

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.4.4Test: Masskrug - Acceleration: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5901.22632.45263.67894.90526.1315SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.973.924.013.873.693.693.783.823.684.175.325.285.305.45

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.4.4Test: Server Room - Acceleration: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5900.9631.9262.8893.8524.815SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.101.101.161.030.740.750.810.820.751.314.214.184.184.28

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.6.0Test: Server Room - Acceleration: OpenCLamdocl0.16880.33760.50640.67520.844SE +/- 0.01, N = 30.75

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: TriadGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.00, N = 3SE +/- 0.21, N = 3SE +/- 0.02, N = 312.3012.1912.1912.5112.6812.6812.5712.4312.5711.937.547.559.109.3612.441. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: FFT SPGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl30060090012001500SE +/- 1.43, N = 3SE +/- 8.74, N = 3SE +/- 1.30, N = 3SE +/- 2.56, N = 3SE +/- 2.67, N = 3SE +/- 11.70, N = 3SE +/- 6.71, N = 3SE +/- 10.50, N = 3SE +/- 46.80, N = 3SE +/- 2.45, N = 3SE +/- 0.34, N = 3SE +/- 1.97, N = 3SE +/- 0.36, N = 3SE +/- 1.04, N = 3SE +/- 2.55, N = 35754535019721553144510838039882979229275475708951. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: MD5 HashGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 590amdocl816243240SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.35, N = 3SE +/- 0.40, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 314.1910.4711.6319.6836.2835.1323.7415.8718.427.2816.3912.708.059.1612.951. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.6.0Test: Server Rack - Acceleration: OpenCLamdocl0.02030.04060.06090.08120.1015SE +/- 0.00, N = 30.09

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.4.4Test: Server Rack - Acceleration: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5900.03830.07660.11490.15320.1915SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.130.120.130.120.100.100.110.110.100.130.170.170.170.17

System Power Consumption Monitor

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System MonitoringRX Vega 64RX Vega 56RX 580RX 59050100150200250Min: 49.7 / Avg: 129.09 / Max: 305.4Min: 47.1 / Avg: 125.63 / Max: 271.3Min: 69 / Avg: 125.65 / Max: 229.5Min: 75 / Avg: 138.2 / Max: 253.3

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringRX Vega 64RX Vega 56RX 580RX 5901428425670Min: 45 / Avg: 52.93 / Max: 65Min: 28 / Avg: 47.45 / Max: 74Min: 26 / Avg: 39.71 / Max: 61Min: 35 / Avg: 46.18 / Max: 73

SHOC Scalable HeterOgeneous Computing

OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10System Power Consumption MonitorRX Vega 64RX Vega 56RX 580RX 590306090120150Min: 50.5 / Avg: 65.45 / Max: 80.4Min: 47.7 / Avg: 48.75 / Max: 49.8Min: 80.6 / Avg: 100.5 / Max: 136

OpenBenchmarking.orgCelsius, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10GPU Temperature MonitorRX Vega 64RX Vega 56RX 580RX 590918273645Min: 39 / Avg: 39.5 / Max: 40Min: 39 / Avg: 40.5 / Max: 42

OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10System Power Consumption MonitorRX Vega 64RX Vega 56RX 580RX 59050100150200250Min: 62.2 / Avg: 183.8 / Max: 305.4Min: 47.8 / Avg: 120.9 / Max: 194Min: 92.2 / Avg: 137.05 / Max: 181.9Min: 138.3 / Avg: 188 / Max: 237.7

OpenBenchmarking.orgCelsius, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10GPU Temperature MonitorRX Vega 64RX Vega 56RX 580RX 5901122334455Min: 38 / Avg: 39.5 / Max: 41Min: 35 / Avg: 42 / Max: 49Min: 39 / Avg: 44.67 / Max: 55

OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10System Power Consumption MonitorRX Vega 64RX Vega 56RX 580RX 59020406080100Min: 51.7 / Avg: 64.95 / Max: 78.2Min: 49 / Avg: 65 / Max: 81Min: 81.9 / Avg: 92.65 / Max: 103.4

OpenBenchmarking.orgCelsius, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10GPU Temperature MonitorRX Vega 64RX Vega 56RX 580RX 5901020304050Min: 49 / Avg: 49.5 / Max: 50Min: 42 / Avg: 42.5 / Max: 43Min: 37 / Avg: 37 / Max: 37Min: 40 / Avg: 41 / Max: 42

clpeak

OpenBenchmarking.orgWatts, Fewer Is BetterclpeakSystem Power Consumption MonitorRX Vega 64RX Vega 56RX 580RX 59020406080100Min: 59.1 / Avg: 78.52 / Max: 79.5Min: 47.4 / Avg: 76.29 / Max: 77.6Min: 69.7 / Avg: 98.35 / Max: 99.6Min: 78.8 / Avg: 105.05 / Max: 110.8

OpenBenchmarking.orgCelsius, Fewer Is BetterclpeakGPU Temperature MonitorRX Vega 64RX Vega 56RX 580RX 590816243240Min: 32 / Avg: 32.11 / Max: 33Min: 32 / Avg: 32.61 / Max: 34Min: 31 / Avg: 31.03 / Max: 32Min: 35 / Avg: 35.11 / Max: 38

OpenBenchmarking.orgWatts, Fewer Is BetterclpeakSystem Power Consumption MonitorRX Vega 64RX Vega 56RX 580RX 59020406080100Min: 49.9 / Avg: 78.27 / Max: 81Min: 73.9 / Avg: 77.01 / Max: 77.7Min: 69.5 / Avg: 98.49 / Max: 101Min: 78.6 / Avg: 105.05 / Max: 110.7

OpenBenchmarking.orgCelsius, Fewer Is BetterclpeakGPU Temperature MonitorRX Vega 64RX Vega 56RX 580RX 590816243240Min: 32 / Avg: 33.85 / Max: 36Min: 33 / Avg: 33.73 / Max: 35Min: 31 / Avg: 31.18 / Max: 32Min: 35 / Avg: 35.21 / Max: 36

OpenBenchmarking.orgGBPS Per Watt, More Is BetterclpeakOpenCL Test: Transfer Bandwidth enqueueReadBufferRX Vega 64RX Vega 56RX 580RX 5900.04950.0990.14850.1980.24750.210.220.160.15

OpenBenchmarking.orgWatts, Fewer Is BetterclpeakSystem Power Consumption MonitorRX Vega 64RX Vega 56RX 580RX 59020406080100Min: 51.4 / Avg: 79.27 / Max: 81.1Min: 48.2 / Avg: 76.77 / Max: 79.1Min: 70.1 / Avg: 99 / Max: 100.8Min: 78.6 / Avg: 105.13 / Max: 109.6

OpenBenchmarking.orgCelsius, Fewer Is BetterclpeakGPU Temperature MonitorRX Vega 64RX Vega 56RX 580RX 5901020304050Min: 36 / Avg: 40.64 / Max: 48Min: 35 / Avg: 38.05 / Max: 43Min: 32 / Avg: 33.27 / Max: 37Min: 35 / Avg: 37.05 / Max: 40

OpenBenchmarking.orgGBPS Per Watt, More Is BetterclpeakOpenCL Test: Transfer Bandwidth enqueueWriteBufferRX Vega 64RX Vega 56RX 580RX 5900.13280.26560.39840.53120.6640.560.590.450.42

OpenBenchmarking.orgWatts, Fewer Is BetterclpeakSystem Power Consumption MonitorRX Vega 64RX Vega 56RX 580RX 59060120180240300Min: 52.7 / Avg: 104.67 / Max: 335.3Min: 49.1 / Avg: 89.06 / Max: 257.9Min: 71 / Avg: 109.44 / Max: 203.5Min: 79.2 / Avg: 117.14 / Max: 233.2

OpenBenchmarking.orgCelsius, Fewer Is BetterclpeakGPU Temperature MonitorRX Vega 64RX Vega 56RX 580RX 5901122334455Min: 42 / Avg: 46.65 / Max: 57Min: 40 / Avg: 43.74 / Max: 49Min: 34 / Avg: 37.71 / Max: 50Min: 38 / Avg: 41.36 / Max: 56

OpenBenchmarking.orgGIOPS Per Watt, More Is BetterclpeakOpenCL Test: Integer Compute INTRX Vega 64RX Vega 56RX 580RX 59061218243023.6822.4311.4412.09

OpenBenchmarking.orgWatts, Fewer Is BetterclpeakSystem Power Consumption MonitorRX Vega 64RX Vega 56RX 580RX 59060120180240300Min: 63.8 / Avg: 133.52 / Max: 322.1Min: 47.5 / Avg: 112.24 / Max: 264.2Min: 69.5 / Avg: 116.89 / Max: 196.7Min: 77.7 / Avg: 124.39 / Max: 220.8

OpenBenchmarking.orgCelsius, Fewer Is BetterclpeakGPU Temperature MonitorRX Vega 64RX Vega 56RX 580RX 5901326395265Min: 36 / Avg: 47.48 / Max: 66Min: 35 / Avg: 42.72 / Max: 57Min: 32 / Avg: 39.04 / Max: 50Min: 36 / Avg: 41.8 / Max: 54

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterclpeakOpenCL Test: Double-Precision DoubleRX Vega 64RX Vega 56RX 580RX 5902468106.246.223.353.50

OpenBenchmarking.orgWatts, Fewer Is BetterclpeakSystem Power Consumption MonitorRX Vega 64RX Vega 56RX 580RX 590306090120150Min: 49.5 / Avg: 80.89 / Max: 182.7Min: 47.8 / Avg: 76.77 / Max: 77.8Min: 69.4 / Avg: 100.72 / Max: 186.8Min: 76.7 / Avg: 105.71 / Max: 119.2

OpenBenchmarking.orgCelsius, Fewer Is BetterclpeakGPU Temperature MonitorRX Vega 64RX Vega 56RX 580RX 5901020304050Min: 38 / Avg: 40.13 / Max: 43Min: 36 / Avg: 37.93 / Max: 40Min: 32 / Avg: 32.71 / Max: 45Min: 36 / Avg: 37.43 / Max: 48

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterclpeakOpenCL Test: Single-Precision FloatRX Vega 64RX Vega 56RX 580RX 590306090120150154.00135.0061.5866.87

OpenBenchmarking.orgWatts, Fewer Is BetterclpeakSystem Power Consumption MonitorRX Vega 64RX Vega 56RX 580RX 59050100150200250Min: 51.6 / Avg: 87.77 / Max: 273.2Min: 49.2 / Avg: 81.54 / Max: 259Min: 73.3 / Avg: 98.79 / Max: 101.9Min: 79.3 / Avg: 107.03 / Max: 127.7

OpenBenchmarking.orgCelsius, Fewer Is BetterclpeakGPU Temperature MonitorRX Vega 64RX Vega 56RX 580RX 5901020304050Min: 41 / Avg: 43.79 / Max: 49Min: 39 / Avg: 41.36 / Max: 48Min: 31 / Avg: 33.28 / Max: 41Min: 37 / Avg: 39.72 / Max: 48

OpenBenchmarking.orgGBPS Per Watt, More Is BetterclpeakOpenCL Test: Global Memory BandwidthRX Vega 64RX Vega 56RX 580RX 5900.92931.85862.78793.71724.64654.133.892.082.02

Darktable

OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 2.4.4System Power Consumption MonitorRX Vega 64RX Vega 56RX 580RX 59020406080100Min: 50.3 / Avg: 70.55 / Max: 90.8Min: 48 / Avg: 51.55 / Max: 55.1Min: 77.8 / Avg: 77.9 / Max: 78

OpenBenchmarking.orgCelsius, Fewer Is BetterDarktable 2.4.4GPU Temperature MonitorRX Vega 64RX Vega 56RX 580RX 590918273645

OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 2.4.4System Power Consumption MonitorRX Vega 64RX Vega 56RX 580RX 590306090120150Min: 159.8 / Avg: 170.75 / Max: 181.7Min: 48.3 / Avg: 83.05 / Max: 115.5Min: 71.4 / Avg: 101.98 / Max: 180.7Min: 77.5 / Avg: 115.43 / Max: 145.8

OpenBenchmarking.orgCelsius, Fewer Is BetterDarktable 2.4.4GPU Temperature MonitorRX Vega 64RX Vega 56RX 580RX 590918273645Min: 42 / Avg: 42 / Max: 42Min: 40 / Avg: 40.25 / Max: 41Min: 30 / Avg: 30 / Max: 30Min: 37 / Avg: 37.67 / Max: 38

OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 2.4.4System Power Consumption MonitorRX Vega 64RX Vega 56RX 580RX 590306090120150Min: 127.1 / Avg: 138.95 / Max: 150.8Min: 48.4 / Avg: 110.52 / Max: 178.2Min: 73 / Avg: 131.16 / Max: 186.9Min: 79.3 / Avg: 145.78 / Max: 178.8

OpenBenchmarking.orgCelsius, Fewer Is BetterDarktable 2.4.4GPU Temperature MonitorRX Vega 64RX Vega 56RX 580RX 590918273645Min: 42 / Avg: 42.67 / Max: 43Min: 41 / Avg: 41.4 / Max: 42Min: 30 / Avg: 30.8 / Max: 31Min: 38 / Avg: 38.25 / Max: 39

OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 2.4.4System Power Consumption MonitorRX Vega 64RX Vega 56RX 580RX 5904080120160200Min: 52.7 / Avg: 132.86 / Max: 151.4Min: 118.8 / Avg: 139.2 / Max: 147Min: 74.4 / Avg: 164 / Max: 184.5Min: 80.8 / Avg: 170.15 / Max: 205

OpenBenchmarking.orgCelsius, Fewer Is BetterDarktable 2.4.4GPU Temperature MonitorRX Vega 64RX Vega 56RX 580RX 5901020304050Min: 44 / Avg: 46.5 / Max: 52Min: 42 / Avg: 43.78 / Max: 49Min: 33 / Avg: 35 / Max: 39Min: 39 / Avg: 41.7 / Max: 45

System Power Consumption Monitor

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System MonitoringGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 207070140210280350Min: 40.2 / Avg: 143.79 / Max: 318.2Min: 42.3 / Avg: 142.19 / Max: 280.5Min: 47.2 / Avg: 123.43 / Max: 255.8Min: 47.2 / Avg: 198.85 / Max: 370.3Min: 49.4 / Avg: 228.34 / Max: 363.1Min: 47.2 / Avg: 220.83 / Max: 367.7Min: 46 / Avg: 176.62 / Max: 334.5Min: 42.5 / Avg: 144.37 / Max: 300.1Min: 43.9 / Avg: 160.13 / Max: 317.6

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 20701632486480Min: 31 / Avg: 60.14 / Max: 74Min: 32 / Avg: 61.66 / Max: 76Min: 38 / Avg: 45.88 / Max: 53Min: 39 / Avg: 66.36 / Max: 82Min: 33 / Avg: 62.56 / Max: 79Min: 43 / Avg: 61.88 / Max: 77Min: 48 / Avg: 67.06 / Max: 83Min: 37 / Avg: 55.81 / Max: 70Min: 32 / Avg: 56.83 / Max: 74

JuliaGPU

OpenBenchmarking.orgWatts, Fewer Is BetterJuliaGPU 1.2pts1System Power Consumption MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5904080120160200Min: 42.3 / Avg: 127 / Max: 157.8Min: 42.3 / Avg: 116.82 / Max: 147.4Min: 47.7 / Avg: 111.88 / Max: 128.2Min: 67.7 / Avg: 159.15 / Max: 189.8Min: 51.3 / Avg: 148.68 / Max: 204Min: 99.5 / Avg: 147.3 / Max: 199.5Min: 46.4 / Avg: 134.7 / Max: 169Min: 43.5 / Avg: 112.53 / Max: 153.7Min: 52.9 / Avg: 116.58 / Max: 157.4Min: 57.5 / Avg: 112.76 / Max: 128.1Min: 49.9 / Avg: 71.23 / Max: 89Min: 47.6 / Avg: 160.43 / Max: 218.2Min: 93.8 / Avg: 132.17 / Max: 160.8Min: 75.7 / Avg: 142.48 / Max: 179.1

OpenBenchmarking.orgCelsius, Fewer Is BetterJuliaGPU 1.2pts1GPU Temperature MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5901122334455Min: 51 / Avg: 52.5 / Max: 54Min: 53 / Avg: 54.4 / Max: 56Min: 38 / Avg: 40.6 / Max: 42Min: 52 / Avg: 54.6 / Max: 57Min: 49 / Avg: 52.5 / Max: 54Min: 48 / Avg: 51.25 / Max: 53Min: 53 / Avg: 54.5 / Max: 56Min: 43 / Avg: 47.5 / Max: 50Min: 46 / Avg: 47 / Max: 48Min: 46 / Avg: 47.2 / Max: 49Min: 50 / Avg: 52.33 / Max: 55Min: 40 / Avg: 42.67 / Max: 45Min: 36 / Avg: 42.75 / Max: 46Min: 45 / Avg: 48 / Max: 49

OpenBenchmarking.orgSamples/sec Per Watt, More Is BetterJuliaGPU 1.2pts1OpenCL Device: GPUGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5901.1M2.2M3.3M4.4M5.5M18829241867592198022916661192042478204292120700022236054227906516298575140282215967621418322124046

SHOC Scalable HeterOgeneous Computing

OpenBenchmarking.orgWatts, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10System Power Consumption MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 59050100150200250Min: 43.4 / Avg: 134.92 / Max: 163.8Min: 43.3 / Avg: 130.75 / Max: 158.9Min: 48.4 / Avg: 122.39 / Max: 144.2Min: 53.7 / Avg: 180.42 / Max: 218.2Min: 49.4 / Avg: 244.67 / Max: 287.4Min: 49 / Avg: 235.34 / Max: 283.1Min: 169.9 / Avg: 187.73 / Max: 213.5Min: 148.5 / Avg: 159.28 / Max: 177.5Min: 52.2 / Avg: 156.43 / Max: 195Min: 42.1 / Avg: 105.4 / Max: 135.1Min: 49.7 / Avg: 228.87 / Max: 263.7Min: 47.3 / Avg: 173.9 / Max: 235.2Min: 69.1 / Avg: 131.16 / Max: 160.2Min: 78.3 / Avg: 160.59 / Max: 187.1

OpenBenchmarking.orgCelsius, Fewer Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10GPU Temperature MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5901326395265Min: 54 / Avg: 55.54 / Max: 57Min: 57 / Avg: 57.33 / Max: 58Min: 42 / Avg: 42.6 / Max: 43Min: 56 / Avg: 59.67 / Max: 61Min: 55 / Avg: 63.4 / Max: 66Min: 59 / Avg: 62 / Max: 65Min: 57 / Avg: 63.86 / Max: 67Min: 48 / Avg: 54.5 / Max: 56Min: 52 / Avg: 54.2 / Max: 56Min: 46 / Avg: 48.5 / Max: 49Min: 49 / Avg: 59.89 / Max: 65Min: 38 / Avg: 46.29 / Max: 52Min: 31 / Avg: 41.38 / Max: 45Min: 35 / Avg: 43.11 / Max: 47

OpenBenchmarking.orgGB/s Per Watt, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Texture Read BandwidthGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5902468103.913.423.543.304.734.985.976.436.883.901.862.041.611.50

cl-mem

OpenBenchmarking.orgWatts, Fewer Is Bettercl-mem 2017-01-13System Power Consumption MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 59060120180240300Min: 43.2 / Avg: 119.3 / Max: 162.2Min: 64.6 / Avg: 132.44 / Max: 150.8Min: 49.3 / Avg: 113.36 / Max: 139.4Min: 49.6 / Avg: 139.67 / Max: 192.8Min: 54.7 / Avg: 99.5 / Max: 144.3Min: 136 / Avg: 198.3 / Max: 260.6Min: 52.6 / Avg: 141.73 / Max: 186.7Min: 43.7 / Avg: 111.03 / Max: 156.9Min: 115.9 / Avg: 150.6 / Max: 185.3Min: 57.7 / Avg: 108.33 / Max: 126.1Min: 51.9 / Avg: 197.96 / Max: 328.9Min: 49.6 / Avg: 203.34 / Max: 252.9Min: 73.1 / Avg: 141.22 / Max: 169.4Min: 194.4 / Avg: 199.58 / Max: 203.7

OpenBenchmarking.orgCelsius, Fewer Is Bettercl-mem 2017-01-13GPU Temperature MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5901224364860Min: 56 / Avg: 57 / Max: 58Min: 55 / Avg: 57.17 / Max: 58Min: 43 / Avg: 44 / Max: 45Min: 60 / Avg: 60.67 / Max: 61Min: 60 / Avg: 61 / Max: 62Min: 56 / Avg: 58.33 / Max: 61Min: 62 / Avg: 62 / Max: 62Min: 49 / Avg: 54 / Max: 56Min: 50 / Avg: 53.67 / Max: 56Min: 48 / Avg: 51.14 / Max: 52Min: 58 / Avg: 59.8 / Max: 62Min: 48 / Avg: 55.2 / Max: 60Min: 41 / Avg: 46.8 / Max: 49Min: 53 / Avg: 55.5 / Max: 57

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: CopyGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiRTX 2080RTX 2060GTX 1060RX Vega 64RX Vega 56RX 580RX 5900.51981.03961.55942.07922.5991.761.411.652.272.312.221.281.121.001.300.97

OpenBenchmarking.orgWatts, Fewer Is Bettercl-mem 2017-01-13System Power Consumption MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 59050100150200250Min: 92.2 / Avg: 141.24 / Max: 162.2Min: 84.4 / Avg: 137.36 / Max: 151.6Min: 50 / Avg: 124.63 / Max: 140.5Min: 216.4 / Avg: 217.73 / Max: 218.8Min: 55 / Avg: 190.13 / Max: 258.3Min: 51 / Avg: 155.07 / Max: 243.7Min: 98.5 / Avg: 128.93 / Max: 169.3Min: 44.2 / Avg: 131.53 / Max: 164.4Min: 46.9 / Avg: 139.57 / Max: 185.9Min: 43.4 / Avg: 98.27 / Max: 126.2Min: 52.5 / Avg: 191.32 / Max: 275.7Min: 207.8 / Avg: 229.9 / Max: 252.1Min: 73 / Avg: 147.4 / Max: 169Min: 78.7 / Avg: 161.08 / Max: 200.6

OpenBenchmarking.orgCelsius, Fewer Is Bettercl-mem 2017-01-13GPU Temperature MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5901326395265Min: 60 / Avg: 60.2 / Max: 61Min: 60 / Avg: 60.6 / Max: 61Min: 43 / Avg: 44.83 / Max: 46Min: 64 / Avg: 64 / Max: 64Min: 59 / Avg: 63 / Max: 65Min: 61 / Avg: 62 / Max: 63Min: 61 / Avg: 63.75 / Max: 65Min: 55 / Avg: 56 / Max: 57Min: 54 / Avg: 55.33 / Max: 56Min: 53 / Avg: 53 / Max: 53Min: 59 / Avg: 62.4 / Max: 65Min: 51 / Avg: 58.6 / Max: 62Min: 49 / Avg: 49.6 / Max: 50Min: 56 / Avg: 59.5 / Max: 62

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: WriteGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5900.63681.27361.91042.54723.1841.531.401.521.542.572.832.501.872.251.421.861.331.211.15

OpenBenchmarking.orgWatts, Fewer Is Bettercl-mem 2017-01-13System Power Consumption MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 59050100150200250Min: 102.3 / Avg: 149.02 / Max: 162.5Min: 46.7 / Avg: 129.34 / Max: 151Min: 49 / Avg: 121.24 / Max: 139.8Min: 52.6 / Avg: 161.7 / Max: 217.6Min: 55.2 / Avg: 156.17 / Max: 266.5Min: 57.7 / Avg: 161.45 / Max: 265.2Min: 50.4 / Avg: 148 / Max: 197.9Min: 45.9 / Avg: 126.65 / Max: 159.6Min: 48.6 / Avg: 145.97 / Max: 196.3Min: 55.5 / Avg: 114.96 / Max: 125.8Min: 55.2 / Avg: 211.77 / Max: 297.7Min: 50.8 / Avg: 153.05 / Max: 254.1Min: 73.5 / Avg: 144 / Max: 170.7Min: 82 / Avg: 176.16 / Max: 207.2

OpenBenchmarking.orgCelsius, Fewer Is Bettercl-mem 2017-01-13GPU Temperature MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5901428425670Min: 63 / Avg: 64.17 / Max: 65Min: 64 / Avg: 64.8 / Max: 66Min: 47 / Avg: 47 / Max: 47Min: 68 / Avg: 68.33 / Max: 69Min: 66 / Avg: 68.33 / Max: 70Min: 66 / Avg: 67 / Max: 68Min: 67 / Avg: 68.67 / Max: 70Min: 56 / Avg: 58.5 / Max: 60Min: 60 / Avg: 62 / Max: 63Min: 54 / Avg: 55.88 / Max: 57Min: 61 / Avg: 66.4 / Max: 69Min: 64 / Avg: 66 / Max: 68Min: 47 / Avg: 52 / Max: 53Min: 59 / Avg: 64 / Max: 66

OpenBenchmarking.orgGB/s Per Watt, More Is Bettercl-mem 2017-01-13Benchmark: ReadGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5900.81451.6292.44353.2584.07251.541.591.692.093.622.652.342.691.330.750.991.121.01

LuxMark

OpenBenchmarking.orgWatts, Fewer Is BetterLuxMark 3.1System Power Consumption MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 59060120180240300Min: 89.3 / Avg: 173.79 / Max: 175.8Min: 82.6 / Avg: 175.54 / Max: 179.2Min: 47.6 / Avg: 146.95 / Max: 149.7Min: 161.6 / Avg: 242.69 / Max: 248.1Min: 50.6 / Avg: 334.61 / Max: 351.7Min: 47.7 / Avg: 320.7 / Max: 332Min: 48.9 / Avg: 235.08 / Max: 244.1Min: 44 / Avg: 192.74 / Max: 197.4Min: 46 / Avg: 225.28 / Max: 233.2Min: 111.3 / Avg: 143.3 / Max: 145.4Min: 49.5 / Avg: 329.31 / Max: 338.6Min: 60.2 / Avg: 257.74 / Max: 269.1Min: 71.5 / Avg: 189.63 / Max: 196.7Min: 82.1 / Avg: 218.27 / Max: 228.9

OpenBenchmarking.orgCelsius, Fewer Is BetterLuxMark 3.1GPU Temperature MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5901632486480Min: 49 / Avg: 64.55 / Max: 67Min: 54 / Avg: 67.07 / Max: 70Min: 41 / Avg: 48.91 / Max: 51Min: 56 / Avg: 72.55 / Max: 75Min: 44 / Avg: 71.96 / Max: 78Min: 49 / Avg: 69.88 / Max: 74Min: 48 / Avg: 75.04 / Max: 79Min: 49 / Avg: 63.65 / Max: 67Min: 47 / Avg: 67.5 / Max: 72Min: 43 / Avg: 58.4 / Max: 61Min: 43 / Avg: 79.26 / Max: 86Min: 44 / Avg: 69.66 / Max: 74Min: 29 / Avg: 55.16 / Max: 60Min: 44 / Avg: 65.27 / Max: 73

OpenBenchmarking.orgScore Per Watt, More Is BetterLuxMark 3.1OpenCL Device: GPU - Scene: Luxball HDRGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 59030609012015079.4298.48114.1689.34137.54133.42123.99110.80131.0985.5398.89120.5880.5378.90

PlaidML

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 59060120180240300Min: 45.1 / Avg: 180.6 / Max: 225Min: 43.1 / Avg: 162.78 / Max: 197.9Min: 47.9 / Avg: 146.58 / Max: 171.7Min: 127.7 / Avg: 231.45 / Max: 296.9Min: 55.4 / Avg: 223.68 / Max: 345.8Min: 47.6 / Avg: 212.98 / Max: 331.1Min: 50.9 / Avg: 188.45 / Max: 269.3Min: 44 / Avg: 167.51 / Max: 215.1Min: 68.7 / Avg: 183.65 / Max: 245.5Min: 72.7 / Avg: 144.61 / Max: 170.9Min: 52.7 / Avg: 216.48 / Max: 338.1Min: 78.5 / Avg: 188.36 / Max: 262.2Min: 73 / Avg: 163.55 / Max: 194.8Min: 86.9 / Avg: 184.98 / Max: 216.4

OpenBenchmarking.orgCelsius, Fewer Is BetterPlaidMLGPU Temperature MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5901428425670Min: 59 / Avg: 64.36 / Max: 68Min: 56 / Avg: 62.15 / Max: 66Min: 43 / Avg: 47.69 / Max: 50Min: 61 / Avg: 65.7 / Max: 70Min: 50 / Avg: 55.25 / Max: 61Min: 49 / Avg: 54.38 / Max: 59Min: 56 / Avg: 63.5 / Max: 70Min: 46 / Avg: 55.73 / Max: 61Min: 47 / Avg: 54.45 / Max: 60Min: 52 / Avg: 58.35 / Max: 62Min: 50 / Avg: 60.38 / Max: 68Min: 51 / Avg: 59.53 / Max: 66Min: 35 / Avg: 47.27 / Max: 53Min: 43 / Avg: 54.21 / Max: 59

OpenBenchmarking.orgExamples Per Second Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5900.29030.58060.87091.16121.45150.790.790.890.821.291.281.080.901.030.650.640.640.400.37

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 59060120180240300Min: 115.7 / Avg: 176.49 / Max: 201.1Min: 43.1 / Avg: 156.77 / Max: 185.9Min: 48.9 / Avg: 127.46 / Max: 146.6Min: 50.4 / Avg: 194.3 / Max: 254.7Min: 52.5 / Avg: 178.13 / Max: 298.5Min: 48.3 / Avg: 198.43 / Max: 287.4Min: 47.4 / Avg: 135.75 / Max: 228.3Min: 45.1 / Avg: 125.88 / Max: 192.6Min: 46.5 / Avg: 126.45 / Max: 198.6Min: 71.5 / Avg: 140.59 / Max: 158.7Min: 88.8 / Avg: 211.83 / Max: 333.3Min: 49.4 / Avg: 145.38 / Max: 261.4Min: 72.7 / Avg: 136.8 / Max: 186.1Min: 78.3 / Avg: 178.69 / Max: 218.6

OpenBenchmarking.orgCelsius, Fewer Is BetterPlaidMLGPU Temperature MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5901326395265Min: 58 / Avg: 62 / Max: 65Min: 55 / Avg: 60 / Max: 64Min: 43 / Avg: 45.83 / Max: 48Min: 59 / Avg: 63 / Max: 66Min: 51 / Avg: 54 / Max: 58Min: 50 / Avg: 51.33 / Max: 53Min: 58 / Avg: 61.5 / Max: 64Min: 46 / Avg: 51.8 / Max: 55Min: 51 / Avg: 53.25 / Max: 55Min: 52 / Avg: 56.5 / Max: 59Min: 52 / Avg: 59.71 / Max: 65Min: 52 / Avg: 59.67 / Max: 64Min: 37 / Avg: 45.13 / Max: 49Min: 47 / Avg: 53.5 / Max: 58

OpenBenchmarking.orgExamples Per Second Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5900.77181.54362.31543.08723.8591.471.461.761.703.433.053.372.763.021.281.321.811.411.22

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 59060120180240300Min: 91.9 / Avg: 152.34 / Max: 225.3Min: 45.2 / Avg: 145.44 / Max: 201.2Min: 48.6 / Avg: 134.71 / Max: 168.9Min: 61.2 / Avg: 185.7 / Max: 280.5Min: 102.3 / Avg: 194.3 / Max: 332.7Min: 100.3 / Avg: 172.57 / Max: 323.3Min: 48.4 / Avg: 158.95 / Max: 257.5Min: 65 / Avg: 134.41 / Max: 208.9Min: 49.8 / Avg: 153.92 / Max: 242.3Min: 71.4 / Avg: 121.65 / Max: 172.6Min: 81.5 / Avg: 177.38 / Max: 338.2Min: 50.1 / Avg: 150.39 / Max: 271.1Min: 73 / Avg: 145.33 / Max: 194.5Min: 81 / Avg: 162.42 / Max: 220

OpenBenchmarking.orgCelsius, Fewer Is BetterPlaidMLGPU Temperature MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5901326395265Min: 60 / Avg: 62.5 / Max: 65Min: 56 / Avg: 59.9 / Max: 64Min: 44 / Avg: 46.22 / Max: 48Min: 61 / Avg: 63.11 / Max: 66Min: 52 / Avg: 54.86 / Max: 58Min: 51 / Avg: 53.29 / Max: 57Min: 59 / Avg: 62.38 / Max: 66Min: 46 / Avg: 50.11 / Max: 56Min: 50 / Avg: 53.44 / Max: 58Min: 50 / Avg: 54.8 / Max: 58Min: 48 / Avg: 54.5 / Max: 60Min: 49 / Avg: 55.36 / Max: 63Min: 37 / Avg: 44.64 / Max: 50Min: 47 / Avg: 54.23 / Max: 60

OpenBenchmarking.orgExamples Per Second Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5900.69981.39962.09942.79923.4991.921.771.941.822.863.112.512.302.441.591.521.510.920.88

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 59060120180240300Min: 91.6 / Avg: 167.52 / Max: 214.9Min: 85.2 / Avg: 157.11 / Max: 185.1Min: 50 / Avg: 141.65 / Max: 161.4Min: 123.8 / Avg: 205.47 / Max: 275.7Min: 63.8 / Avg: 192.88 / Max: 301.5Min: 49.3 / Avg: 185.12 / Max: 298.3Min: 50.1 / Avg: 167.47 / Max: 240.9Min: 45.2 / Avg: 158.66 / Max: 201.6Min: 47.5 / Avg: 159.79 / Max: 224.3Min: 70.6 / Avg: 141.88 / Max: 164.5Min: 50.9 / Avg: 173.75 / Max: 315.1Min: 78.5 / Avg: 172.43 / Max: 257.5Min: 71.3 / Avg: 157.31 / Max: 201.8Min: 79.3 / Avg: 178.28 / Max: 235.4

OpenBenchmarking.orgCelsius, Fewer Is BetterPlaidMLGPU Temperature MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5901326395265Min: 58 / Avg: 63.21 / Max: 68Min: 58 / Avg: 61.79 / Max: 65Min: 43 / Avg: 47.13 / Max: 50Min: 60 / Avg: 64.36 / Max: 69Min: 51 / Avg: 55.27 / Max: 60Min: 52 / Avg: 54.78 / Max: 59Min: 57 / Avg: 63.18 / Max: 68Min: 40 / Avg: 48.69 / Max: 56Min: 49 / Avg: 54.67 / Max: 60Min: 44 / Avg: 52.44 / Max: 59Min: 50 / Avg: 59.52 / Max: 69Min: 50 / Avg: 58.4 / Max: 68Min: 33 / Avg: 45.16 / Max: 54Min: 44 / Avg: 55.88 / Max: 64

OpenBenchmarking.orgExamples Per Second Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5900.27230.54460.81691.08921.36150.790.740.830.811.191.211.030.840.980.610.690.620.440.42

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 59050100150200250Min: 44.3 / Avg: 147.75 / Max: 195.1Min: 45.9 / Avg: 107.3 / Max: 155.1Min: 49.7 / Avg: 93.67 / Max: 125.7Min: 53.3 / Avg: 125.73 / Max: 165.2Min: 54 / Avg: 200.17 / Max: 274.2Min: 48.2 / Avg: 152.87 / Max: 274.6Min: 52 / Avg: 97.93 / Max: 121Min: 43.1 / Avg: 95.9 / Max: 118.8Min: 115.1 / Avg: 115.83 / Max: 116.5Min: 41.8 / Avg: 76.7 / Max: 94.4Min: 52.5 / Avg: 111.85 / Max: 223.9Min: 72.5 / Avg: 123.7 / Max: 259.6Min: 71.7 / Avg: 114.33 / Max: 178.6Min: 82.4 / Avg: 137.7 / Max: 205.5

OpenBenchmarking.orgCelsius, Fewer Is BetterPlaidMLGPU Temperature MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5901326395265Min: 62 / Avg: 62 / Max: 62Min: 59 / Avg: 60.33 / Max: 61Min: 48 / Avg: 48 / Max: 48Min: 63 / Avg: 64 / Max: 65Min: 55 / Avg: 55 / Max: 55Min: 54 / Avg: 55.67 / Max: 58Min: 66 / Avg: 66 / Max: 66Min: 39 / Avg: 44.25 / Max: 48Min: 55 / Avg: 55 / Max: 55Min: 41 / Avg: 45.25 / Max: 47Min: 54 / Avg: 55.6 / Max: 59Min: 51 / Avg: 52.8 / Max: 57Min: 36 / Avg: 40.83 / Max: 46Min: 47 / Avg: 51.5 / Max: 56

OpenBenchmarking.orgExamples Per Second Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 59036912155.427.128.067.026.678.4510.679.008.707.727.475.823.623.29

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 59050100150200250Min: 90.8 / Avg: 146.71 / Max: 176.8Min: 82.2 / Avg: 136.83 / Max: 164.9Min: 104.8 / Avg: 123.57 / Max: 135.6Min: 50.4 / Avg: 165.05 / Max: 214.8Min: 57.5 / Avg: 152.07 / Max: 231.9Min: 48.6 / Avg: 159.87 / Max: 223.7Min: 46.4 / Avg: 138.03 / Max: 185.4Min: 44.3 / Avg: 116.14 / Max: 162.7Min: 47.1 / Avg: 127.27 / Max: 169.5Min: 70.1 / Avg: 124.21 / Max: 145Min: 52.2 / Avg: 165.89 / Max: 305.6Min: 74.8 / Avg: 165.69 / Max: 271.3Min: 71.3 / Avg: 146.11 / Max: 185.3Min: 80.2 / Avg: 152.62 / Max: 212.4

OpenBenchmarking.orgCelsius, Fewer Is BetterPlaidMLGPU Temperature MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5901326395265Min: 53 / Avg: 57.58 / Max: 61Min: 51 / Avg: 55.42 / Max: 59Min: 39 / Avg: 42.75 / Max: 45Min: 59 / Avg: 61.75 / Max: 63Min: 52 / Avg: 53.8 / Max: 56Min: 52 / Avg: 53.5 / Max: 56Min: 50 / Avg: 54.64 / Max: 59Min: 40 / Avg: 45 / Max: 50Min: 41 / Avg: 45.18 / Max: 49Min: 44 / Avg: 49.23 / Max: 54Min: 51 / Avg: 58.38 / Max: 64Min: 49 / Avg: 56.67 / Max: 63Min: 34 / Avg: 42.71 / Max: 48Min: 46 / Avg: 53.31 / Max: 59

OpenBenchmarking.orgExamples Per Second Per Watt, More Is BetterPlaidMLFP16: No - Mode: Training - Network: IMDB LSTM - Device: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5900.36450.7291.09351.4581.82251.141.141.241.141.601.541.561.621.561.081.111.070.890.95

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5904080120160200Min: 91.7 / Avg: 152.84 / Max: 169.4Min: 48.4 / Avg: 126.46 / Max: 165Min: 48.1 / Avg: 99.69 / Max: 140.6Min: 47.2 / Avg: 121.72 / Max: 213.3Min: 56 / Avg: 163.54 / Max: 245.3Min: 48.4 / Avg: 137.54 / Max: 235.7Min: 48 / Avg: 132.2 / Max: 198.2Min: 47.3 / Avg: 110.84 / Max: 168.5Min: 49.9 / Avg: 120.6 / Max: 185.8Min: 43.2 / Avg: 99.8 / Max: 140.7Min: 75.8 / Avg: 156.29 / Max: 240.3Min: 49.7 / Avg: 124.48 / Max: 221.8Min: 73.6 / Avg: 119.65 / Max: 155.1Min: 78.7 / Avg: 135.11 / Max: 174.8

OpenBenchmarking.orgCelsius, Fewer Is BetterPlaidMLGPU Temperature MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5901326395265Min: 60 / Avg: 61.64 / Max: 63Min: 51 / Avg: 56.59 / Max: 60Min: 38 / Avg: 42.62 / Max: 46Min: 44 / Avg: 53.18 / Max: 61Min: 43 / Avg: 48.07 / Max: 53Min: 44 / Avg: 48.59 / Max: 53Min: 52 / Avg: 58.56 / Max: 66Min: 43 / Avg: 48.84 / Max: 55Min: 42 / Avg: 47.65 / Max: 53Min: 41 / Avg: 47.52 / Max: 54Min: 45 / Avg: 55.21 / Max: 65Min: 40 / Avg: 49.89 / Max: 64Min: 30 / Avg: 37.96 / Max: 46Min: 42 / Avg: 49 / Max: 56

OpenBenchmarking.orgExamples Per Second Per Watt, More Is BetterPlaidMLFP16: No - Mode: Training - Network: Mobilenet - Device: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5900.25430.50860.76291.01721.27150.670.851.031.030.981.131.011.021.090.870.480.570.350.34

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 59060120180240300Min: 70.3 / Avg: 172.91 / Max: 216.6Min: 43.1 / Avg: 136.92 / Max: 191.2Min: 48.4 / Avg: 125.32 / Max: 169.8Min: 65.2 / Avg: 179.46 / Max: 287.9Min: 58.3 / Avg: 176.01 / Max: 322.5Min: 47.7 / Avg: 180.78 / Max: 312Min: 49.8 / Avg: 158.89 / Max: 252.8Min: 62.3 / Avg: 137.76 / Max: 208Min: 47.2 / Avg: 141.31 / Max: 234Min: 58.2 / Avg: 131.14 / Max: 167.2Min: 53.4 / Avg: 217.55 / Max: 319.8Min: 50.2 / Avg: 151.48 / Max: 258.1Min: 73.2 / Avg: 147.27 / Max: 187.1Min: 79.7 / Avg: 162.83 / Max: 210.1

OpenBenchmarking.orgCelsius, Fewer Is BetterPlaidMLGPU Temperature MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5901428425670Min: 52 / Avg: 58.85 / Max: 65Min: 49 / Avg: 56.06 / Max: 63Min: 41 / Avg: 45.18 / Max: 50Min: 53 / Avg: 60.07 / Max: 67Min: 42 / Avg: 47.33 / Max: 54Min: 46 / Avg: 51 / Max: 57Min: 53 / Avg: 59.79 / Max: 68Min: 43 / Avg: 50.75 / Max: 59Min: 42 / Avg: 48.87 / Max: 56Min: 43 / Avg: 51.9 / Max: 59Min: 55 / Avg: 63.35 / Max: 70Min: 52 / Avg: 59.68 / Max: 69Min: 31 / Avg: 42.94 / Max: 51Min: 42 / Avg: 53.46 / Max: 61

OpenBenchmarking.orgExamples Per Second Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5900.33750.6751.01251.351.68750.800.921.021.081.501.381.211.081.270.720.550.700.410.39

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 59060120180240300Min: 91.6 / Avg: 162.7 / Max: 211.1Min: 83.8 / Avg: 134.85 / Max: 189.4Min: 48.5 / Avg: 113.89 / Max: 160.8Min: 122.3 / Avg: 187.68 / Max: 270.3Min: 52.6 / Avg: 162.76 / Max: 301.7Min: 48.4 / Avg: 155.12 / Max: 292.5Min: 47.4 / Avg: 148.19 / Max: 240.2Min: 86.5 / Avg: 143.68 / Max: 202.9Min: 78.4 / Avg: 132.98 / Max: 222.4Min: 60.4 / Avg: 122.52 / Max: 164.5Min: 82.4 / Avg: 172.03 / Max: 313.6Min: 50.5 / Avg: 141.19 / Max: 254.3Min: 73.6 / Avg: 141.5 / Max: 187.8Min: 81.1 / Avg: 153.59 / Max: 208.6

OpenBenchmarking.orgCelsius, Fewer Is BetterPlaidMLGPU Temperature MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5901326395265Min: 58 / Avg: 60 / Max: 63Min: 54 / Avg: 57.18 / Max: 61Min: 43 / Avg: 45.8 / Max: 48Min: 59 / Avg: 61.1 / Max: 64Min: 44 / Avg: 46.33 / Max: 52Min: 49 / Avg: 51.2 / Max: 55Min: 58 / Avg: 61.6 / Max: 65Min: 46 / Avg: 50.9 / Max: 56Min: 46 / Avg: 48.78 / Max: 53Min: 47 / Avg: 50.92 / Max: 55Min: 52 / Avg: 59.71 / Max: 67Min: 52 / Avg: 59.73 / Max: 67Min: 35 / Avg: 41.89 / Max: 48Min: 44 / Avg: 51.33 / Max: 58

OpenBenchmarking.orgExamples Per Second Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5900.66381.32761.99142.65523.3191.621.762.081.782.922.952.391.962.511.491.241.380.910.89

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 59050100150200250Min: 89.5 / Avg: 168.75 / Max: 202.8Min: 81.8 / Avg: 153.87 / Max: 183Min: 56.1 / Avg: 132.15 / Max: 155Min: 120.7 / Avg: 202.56 / Max: 256.6Min: 51.5 / Avg: 168.92 / Max: 275.4Min: 48.4 / Avg: 188.73 / Max: 275.6Min: 47.5 / Avg: 155.97 / Max: 224.6Min: 45 / Avg: 144.95 / Max: 190.7Min: 45.8 / Avg: 146.81 / Max: 206.6Min: 87.5 / Avg: 132.19 / Max: 156.7Min: 50.6 / Avg: 181.52 / Max: 296Min: 58.9 / Avg: 147.82 / Max: 249.5Min: 73.1 / Avg: 146.45 / Max: 195.4Min: 91.8 / Avg: 163.54 / Max: 221.5

OpenBenchmarking.orgCelsius, Fewer Is BetterPlaidMLGPU Temperature MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5901428425670Min: 51 / Avg: 57.64 / Max: 63Min: 48 / Avg: 54.81 / Max: 60Min: 43 / Avg: 45.94 / Max: 49Min: 55 / Avg: 59.71 / Max: 66Min: 39 / Avg: 44.46 / Max: 52Min: 49 / Avg: 52.45 / Max: 57Min: 56 / Avg: 61.08 / Max: 66Min: 43 / Avg: 49.73 / Max: 56Min: 42 / Avg: 48.08 / Max: 55Min: 45 / Avg: 52 / Max: 57Min: 47 / Avg: 59.05 / Max: 70Min: 39 / Avg: 50.92 / Max: 65Min: 33 / Avg: 42.3 / Max: 50Min: 40 / Avg: 50.41 / Max: 60

OpenBenchmarking.orgExamples Per Second Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5900.2880.5760.8641.1521.440.780.760.900.821.281.121.080.921.070.670.660.740.520.51

OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLSystem Power Consumption MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5904080120160200Min: 43.7 / Avg: 93.48 / Max: 127.3Min: 42.8 / Avg: 91.98 / Max: 117.4Min: 48.7 / Avg: 98.18 / Max: 132.6Min: 91.6 / Avg: 149.17 / Max: 203.2Min: 52.9 / Avg: 110.8 / Max: 140.2Min: 48.4 / Avg: 94.48 / Max: 113.3Min: 56.3 / Avg: 130.87 / Max: 184.7Min: 45.5 / Avg: 121.65 / Max: 166.1Min: 46 / Avg: 93.68 / Max: 129.3Min: 42.1 / Avg: 107.84 / Max: 141.6Min: 54 / Avg: 69.27 / Max: 82.4Min: 49.6 / Avg: 92.35 / Max: 157.7Min: 75.6 / Avg: 109.4 / Max: 179Min: 82.3 / Avg: 126.56 / Max: 194.9

OpenBenchmarking.orgCelsius, Fewer Is BetterPlaidMLGPU Temperature MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5901224364860Min: 47 / Avg: 49.75 / Max: 51Min: 47 / Avg: 49.5 / Max: 51Min: 46 / Avg: 47 / Max: 48Min: 56 / Avg: 56.67 / Max: 57Min: 41 / Avg: 41.5 / Max: 42Min: 52 / Avg: 52.5 / Max: 53Min: 61 / Avg: 61.67 / Max: 62Min: 46 / Avg: 47.75 / Max: 50Min: 45 / Avg: 46.75 / Max: 48Min: 49 / Avg: 50 / Max: 51Min: 49 / Avg: 50.83 / Max: 54Min: 40 / Avg: 42.75 / Max: 46Min: 38 / Avg: 42 / Max: 47Min: 45 / Avg: 48.88 / Max: 53

OpenBenchmarking.orgExamples Per Second Per Watt, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 59036912157.347.226.575.198.8210.286.826.418.875.128.486.235.144.74

LeelaChessZero

OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.20.1System Power Consumption MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 59060120180240300Min: 40.2 / Avg: 148.14 / Max: 249.5Min: 42.6 / Avg: 184.04 / Max: 213.3Min: 80 / Avg: 156.39 / Max: 189.7Min: 96.9 / Avg: 265.17 / Max: 323.1Min: 97.7 / Avg: 148.16 / Max: 357.7Min: 48.2 / Avg: 205.76 / Max: 349.4Min: 88.3 / Avg: 222.99 / Max: 288.3Min: 69.4 / Avg: 196.01 / Max: 230Min: 75.1 / Avg: 186.61 / Max: 251.7Min: 41.9 / Avg: 150.59 / Max: 180Min: 50.2 / Avg: 313.27 / Max: 342.7Min: 47.2 / Avg: 173.2 / Max: 262.2Min: 69.3 / Avg: 171.21 / Max: 229.5Min: 75.2 / Avg: 188.72 / Max: 253.3

OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.20.1GPU Temperature MonitorGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 5901428425670Min: 32 / Avg: 40.8 / Max: 58Min: 35 / Avg: 46.2 / Max: 55Min: 46 / Avg: 50.13 / Max: 53Min: 41 / Avg: 51.43 / Max: 61Min: 34 / Avg: 36.91 / Max: 47Min: 50 / Avg: 55.6 / Max: 60Min: 57 / Avg: 66.29 / Max: 73Min: 39 / Avg: 50.33 / Max: 58Min: 33 / Avg: 44.86 / Max: 52Min: 38 / Avg: 51.69 / Max: 59Min: 46 / Avg: 64.5 / Max: 72Min: 28 / Avg: 41.93 / Max: 60Min: 27 / Avg: 45.13 / Max: 61Min: 37 / Avg: 50.65 / Max: 67

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.20.1Backend: OpenCLGTX 1080GTX 1070GTX 1070 TiGTX 1080 TiTITAN RTXRTX 2080 TiRTX 2080RTX 2060RTX 2070GTX 1060RX Vega 64RX Vega 56RX 580RX 59051015202511.817.779.458.8022.1115.1010.137.579.275.972.734.383.743.62

128 Results Shown

LuxMark
PlaidML:
  Yes - Inference - VGG16 - OpenCL
  No - Training - Mobilenet - OpenCL
clpeak
PlaidML:
  Yes - Inference - Inception V3 - OpenCL
  No - Inference - Inception V3 - OpenCL
clpeak:
  Transfer Bandwidth enqueueWriteBuffer
  Transfer Bandwidth enqueueReadBuffer
LeelaChessZero
PlaidML
clpeak
PlaidML
clpeak
PlaidML
clpeak:
  Single-Precision Float
  Kernel Latency
SHOC Scalable HeterOgeneous Computing
PlaidML:
  No - Inference - ResNet 50 - OpenCL
  No - Inference - IMDB LSTM - OpenCL
  Yes - Inference - Mobilenet - OpenCL
JuliaGPU
Darktable
cl-mem:
  Read
  Write
  Copy
Darktable
PlaidML
Darktable:
  Boat - OpenCL
  Masskrug - OpenCL
  Server Room - OpenCL
  Server Room - OpenCL
SHOC Scalable HeterOgeneous Computing:
  OpenCL - Triad
  OpenCL - FFT SP
  OpenCL - MD5 Hash
Darktable:
  Server Rack - OpenCL:
    Seconds
    Seconds
System Power Consumption Monitor:
  Phoronix Test Suite System Monitoring:
    Watts
    Celsius
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  Transfer Bandwidth enqueueReadBuffer:
    GBPS Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  Transfer Bandwidth enqueueWriteBuffer:
    GBPS Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  Integer Compute INT:
    GIOPS Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  Double-Precision Double:
    GFLOPS Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  Single-Precision Float:
    GFLOPS Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  Global Memory Bandwidth:
    GBPS Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  Phoronix Test Suite System Monitoring:
    Watts
    Celsius
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  GPU:
    Samples/sec Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  OpenCL - Texture Read Bandwidth:
    GB/s Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  Copy:
    GB/s Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  Write:
    GB/s Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  Read:
    GB/s Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  GPU - Luxball HDR:
    Score Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  No - Inference - VGG16 - OpenCL:
    Examples Per Second Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  No - Inference - IMDB LSTM - OpenCL:
    Examples Per Second Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  No - Inference - ResNet 50 - OpenCL:
    Examples Per Second Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  No - Inference - Inception V3 - OpenCL:
    Examples Per Second Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  No - Inference - Mobilenet - OpenCL:
    Examples Per Second Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  No - Training - IMDB LSTM - OpenCL:
    Examples Per Second Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  No - Training - Mobilenet - OpenCL:
    Examples Per Second Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  Yes - Inference - VGG16 - OpenCL:
    Examples Per Second Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  Yes - Inference - ResNet 50 - OpenCL:
    Examples Per Second Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  Yes - Inference - Inception V3 - OpenCL:
    Examples Per Second Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  Yes - Inference - Mobilenet - OpenCL:
    Examples Per Second Per Watt
  System Power Consumption Monitor:
    Watts
  GPU Temp Monitor:
    Celsius
  OpenCL:
    Nodes Per Second Per Watt