OpenCL ROCm 2.0 vs. AMDGPU-PRO Linux

Radeon RX Vega 64 ROCm 2.0 OpenCL versus PAL OpenCL driver in AMDGPU-PRO 18.50. Benchmarks by Michael Larabel for a future article on Phoronix.com.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 1901167-PTS-OPENCLRO89
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ROCm 2.0
January 16 2019
  55 Minutes
AMDGPU-PRO 18.50 PAL
January 16 2019
  23 Minutes
Invert Behavior (Only Show Selected Data)
  39 Minutes
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ROCm 2.0

Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (1601 BIOS), Chipset: AMD Family 17h, Memory: 32768MB, Disk: 16GB Voyager 3.0 + Samsung SSD 970 EVO 500GB, Graphics: AMD Radeon RX Vega 8GB (1630/945MHz), Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I211 + Qualcomm Atheros QCA6174 802.11ac + Wilocity Wil6200 802.11ad

OS: Ubuntu 18.04, Kernel: 4.15.0-43-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: amdgpu 18.0.1, OpenGL: 4.5 Mesa 18.0.5 (LLVM 6.0.0), Compiler: GCC 7.3.0, 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++ --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
Processor Notes: Scaling Governor: acpi-cpufreq ondemand
Graphics Notes: GLAMOR
Python Notes: Python 2.7.15rc1 + Python 3.6.7
Security Notes: __user pointer sanitization + Full AMD retpoline IBPB + SSB disabled via prctl and seccomp

AMDGPU-PRO 18.50 PAL

OS: Ubuntu 18.04, Kernel: 4.15.0-43-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: amdgpu 18.1.99, OpenGL: 4.6.13542, Compiler: GCC 7.3.0, File-System: ext4, Screen Resolution: 3840x2160

OpenCL ROCm 2.0 vs. AMDGPU-PRO LinuxOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads)ASUS ROG ZENITH EXTREME (1601 BIOS)AMD Family 17h32768MB16GB Voyager 3.0 + Samsung SSD 970 EVO 500GBAMD Radeon RX Vega 8GB (1630/945MHz)Realtek ALC1220ASUS VP28UIntel I211 + Qualcomm Atheros QCA6174 802.11ac + Wilocity Wil6200 802.11adUbuntu 18.044.15.0-43-generic (x86_64)GNOME Shell 3.28.3X Server 1.19.6amdgpu 18.0.1amdgpu 18.1.994.5 Mesa 18.0.5 (LLVM 6.0.0)4.6.13542GCC 7.3.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriversOpenGLsCompilerFile-SystemScreen ResolutionOpenCL ROCm 2.0 Vs. AMDGPU-PRO Linux BenchmarksSystem Logs- --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 - Scaling Governor: acpi-cpufreq ondemand- GLAMOR- Python 2.7.15rc1 + Python 3.6.7- __user pointer sanitization + Full AMD retpoline IBPB + SSB disabled via prctl and seccomp

ROCm 2.0 vs. AMDGPU-PRO 18.50 PAL ComparisonPhoronix Test SuiteBaseline+73.9%+73.9%+147.8%+147.8%+221.7%+221.7%148.8%76.9%64.7%44%19.8%7.1%6.1%4.4%4.2%3.6%Kernel Latency295.4%ReadT.B.e102%Boat - OpenCL89.7%Server Rack - OpenCLCopyT.B.e56.2%GPUServer Room - OpenCL30.5%OpenCL - FFT SP24.6%No - Inference - Inception V3 - OpenCLOpenCL - Triad10.2%OpenCL - MD5 HashOpenCL HeartwallNo - Inference - IMDB LSTM - OpenCLMasskrug - OpenCLS.P.F4.2%OpenCL - T.R.B4%No - Inference - ResNet 50 - OpenCLclpeakcl-memclpeakDarktableDarktablecl-memclpeakJuliaGPUDarktableSHOC Scalable HeterOgeneous ComputingPlaidMLSHOC Scalable HeterOgeneous ComputingSHOC Scalable HeterOgeneous ComputingRodiniaPlaidMLDarktableclpeakSHOC Scalable HeterOgeneous ComputingPlaidMLROCm 2.0AMDGPU-PRO 18.50 PAL

OpenCL ROCm 2.0 vs. AMDGPU-PRO Linuxshoc: OpenCL - Triadshoc: OpenCL - FFT SPshoc: OpenCL - MD5 Hashshoc: OpenCL - Bus Speed Downloadshoc: OpenCL - Bus Speed Readbackshoc: OpenCL - Texture Read Bandwidthcl-mem: Copycl-mem: Readcl-mem: Writeplaidml: No - Inference - IMDB LSTM - OpenCLplaidml: No - Inference - Mobilenet - OpenCLplaidml: No - Inference - ResNet 50 - OpenCLplaidml: No - Inference - Inception V3 - OpenCLlczero: OpenCLrodinia: OpenCL Heartwalldarktable: Boat - OpenCLdarktable: Masskrug - OpenCLdarktable: Server Rack - OpenCLdarktable: Server Room - OpenCLjuliagpu: GPUclpeak: Kernel Latencyclpeak: Integer Compute INTclpeak: Single-Precision Floatclpeak: Double-Precision Doubleclpeak: Global Memory Bandwidthclpeak: Transfer Bandwidth enqueueReadBufferclpeak: Transfer Bandwidth enqueueWriteBufferROCm 2.0AMDGPU-PRO 18.50 PAL6.69107516.467.147.16441221160384252479225113.883044.034.485.700.231.9716685881610.5624971305383336217.0645.446.0786317.637.147.16424364398379263479233136.383.808.505.470.132.5724029346941.7524861252882836110.9222.49OpenBenchmarking.org

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: TriadAMDGPU-PRO 18.50 PALROCm 2.0246810SE +/- 0.02, N = 3SE +/- 0.01, N = 36.076.691. (CXX) g++ options: -O2 -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: FFT SPAMDGPU-PRO 18.50 PALROCm 2.02004006008001000SE +/- 11.99, N = 6SE +/- 1.63, N = 386310751. (CXX) g++ options: -O2 -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt

OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: MD5 HashAMDGPU-PRO 18.50 PALROCm 2.048121620SE +/- 0.03, N = 3SE +/- 0.05, N = 317.6316.461. (CXX) g++ options: -O2 -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Bus Speed DownloadAMDGPU-PRO 18.50 PALROCm 2.0246810SE +/- 0.00, N = 3SE +/- 0.00, N = 37.147.141. (CXX) g++ options: -O2 -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Bus Speed ReadbackAMDGPU-PRO 18.50 PALROCm 2.0246810SE +/- 0.00, N = 3SE +/- 0.00, N = 37.167.161. (CXX) g++ options: -O2 -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Texture Read BandwidthAMDGPU-PRO 18.50 PALROCm 2.0100200300400500SE +/- 1.67, N = 3SE +/- 1.31, N = 34244411. (CXX) g++ options: -O2 -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt

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: CopyAMDGPU-PRO 18.50 PALROCm 2.080160240320400SE +/- 0.00, N = 3SE +/- 0.06, N = 33642211. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadAMDGPU-PRO 18.50 PALROCm 2.090180270360450SE +/- 0.15, N = 3SE +/- 0.06, N = 33981601. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteAMDGPU-PRO 18.50 PALROCm 2.080160240320400SE +/- 0.82, N = 3SE +/- 0.07, N = 33793841. (CC) gcc options: -O2 -flto -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: IMDB LSTM - Device: OpenCLAMDGPU-PRO 18.50 PALROCm 2.060120180240300SE +/- 0.88, N = 3SE +/- 0.35, N = 3263252

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLAMDGPU-PRO 18.50 PALROCm 2.0100200300400500SE +/- 0.67, N = 3SE +/- 0.09, N = 3479479

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLAMDGPU-PRO 18.50 PALROCm 2.050100150200250SE +/- 1.16, N = 3SE +/- 0.86, N = 3233225

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLAMDGPU-PRO 18.50 PALROCm 2.0306090120150SE +/- 0.61, N = 3SE +/- 1.83, N = 12136.38113.88

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: OpenCLROCm 2.070140210280350SE +/- 1.46, N = 33041. (CXX) g++ options: -lpthread -lz

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 the OpenCL and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 2.4Test: OpenCL HeartwallAMDGPU-PRO 18.50 PALROCm 2.00.90681.81362.72043.62724.534SE +/- 0.01, N = 3SE +/- 0.00, N = 33.804.031. (CXX) g++ options: -O2 -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 2.4.2Test: Boat - Acceleration: OpenCLAMDGPU-PRO 18.50 PALROCm 2.0246810SE +/- 0.08, N = 3SE +/- 0.08, N = 128.504.48

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.4.2Test: Masskrug - Acceleration: OpenCLAMDGPU-PRO 18.50 PALROCm 2.01.28252.5653.84755.136.4125SE +/- 0.04, N = 3SE +/- 0.02, N = 35.475.70

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.4.2Test: Server Rack - Acceleration: OpenCLAMDGPU-PRO 18.50 PALROCm 2.00.05180.10360.15540.20720.259SE +/- 0.00, N = 3SE +/- 0.00, N = 30.130.23

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.4.2Test: Server Room - Acceleration: OpenCLAMDGPU-PRO 18.50 PALROCm 2.00.57831.15661.73492.31322.8915SE +/- 0.04, N = 4SE +/- 0.01, N = 32.571.97

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: GPUAMDGPU-PRO 18.50 PALROCm 2.050M100M150M200M250MSE +/- 1514546.33, N = 3SE +/- 1617179.19, N = 32402934691668588161. (CC) gcc options: -O3 -march=native -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL -lm

clpeak

OpenBenchmarking.orgus, Fewer Is BetterclpeakOpenCL Test: Kernel LatencyAMDGPU-PRO 18.50 PALROCm 2.01020304050SE +/- 1.09, N = 12SE +/- 0.14, N = 341.7510.561. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTAMDGPU-PRO 18.50 PALROCm 2.05001000150020002500SE +/- 6.75, N = 3SE +/- 2.51, N = 3248624971. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatAMDGPU-PRO 18.50 PALROCm 2.03K6K9K12K15KSE +/- 40.57, N = 3SE +/- 11.58, N = 312528130531. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleAMDGPU-PRO 18.50 PALROCm 2.02004006008001000SE +/- 1.70, N = 3SE +/- 0.95, N = 38288331. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthAMDGPU-PRO 18.50 PALROCm 2.080160240320400SE +/- 0.10, N = 3SE +/- 0.12, N = 33613621. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Transfer Bandwidth enqueueReadBufferAMDGPU-PRO 18.50 PALROCm 2.048121620SE +/- 0.88, N = 9SE +/- 0.03, N = 310.9217.061. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Transfer Bandwidth enqueueWriteBufferAMDGPU-PRO 18.50 PALROCm 2.01020304050SE +/- 0.21, N = 3SE +/- 0.01, N = 322.4945.441. (CXX) g++ options: -O3 -rdynamic -lOpenCL

ROCm 2.0

Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (1601 BIOS), Chipset: AMD Family 17h, Memory: 32768MB, Disk: 16GB Voyager 3.0 + Samsung SSD 970 EVO 500GB, Graphics: AMD Radeon RX Vega 8GB (1630/945MHz), Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I211 + Qualcomm Atheros QCA6174 802.11ac + Wilocity Wil6200 802.11ad

OS: Ubuntu 18.04, Kernel: 4.15.0-43-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: amdgpu 18.0.1, OpenGL: 4.5 Mesa 18.0.5 (LLVM 6.0.0), Compiler: GCC 7.3.0, 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++ --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
Processor Notes: Scaling Governor: acpi-cpufreq ondemand
Graphics Notes: GLAMOR
Python Notes: Python 2.7.15rc1 + Python 3.6.7
Security Notes: __user pointer sanitization + Full AMD retpoline IBPB + SSB disabled via prctl and seccomp

Testing initiated at 16 January 2019 05:58 by user pts.

AMDGPU-PRO 18.50 PAL

Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (1601 BIOS), Chipset: AMD Family 17h, Memory: 32768MB, Disk: 16GB Voyager 3.0 + Samsung SSD 970 EVO 500GB, Graphics: AMD Radeon RX Vega 8GB (1630/945MHz), Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I211 + Qualcomm Atheros QCA6174 802.11ac + Wilocity Wil6200 802.11ad

OS: Ubuntu 18.04, Kernel: 4.15.0-43-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.19.6, Display Driver: amdgpu 18.1.99, OpenGL: 4.6.13542, Compiler: GCC 7.3.0, 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++ --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
Processor Notes: Scaling Governor: acpi-cpufreq ondemand
Graphics Notes: GLAMOR
Python Notes: Python 2.7.15rc1 + Python 3.6.7
Security Notes: __user pointer sanitization + Full AMD retpoline IBPB + SSB disabled via prctl and seccomp

Testing initiated at 16 January 2019 10:54 by user pts.