ngc smoke run

ARMv8 Neoverse-V2 testing with a Quanta Cloud QuantaGrid S74G-2U 1S7GZ9Z0000 S7G MB (CG1) (3A06 BIOS) and NVIDIA GH200 480GB on Ubuntu 22.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2403013-NE-NGCSMOKER54
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results
Show Result Confidence Charts

Limit displaying results to tests within:

HPC - High Performance Computing 2 Tests
NVIDIA GPU Compute 8 Tests
OpenCL 3 Tests
Vulkan Compute 3 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
a
February 29
  1 Hour, 40 Minutes
b
March 01
  1 Hour, 44 Minutes
c
March 01
  1 Hour, 33 Minutes
d
March 01
  1 Hour, 59 Minutes
Invert Hiding All Results Option
  1 Hour, 44 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


ngc smoke runOpenBenchmarking.orgPhoronix Test SuiteARMv8 Neoverse-V2 @ 3.39GHz (72 Cores)Quanta Cloud QuantaGrid S74G-2U 1S7GZ9Z0000 S7G MB (CG1) (3A06 BIOS)1 x 480GB DRAM-6400MT/s960GB SAMSUNG MZ1L2960HCJR-00A07 + 1920GB SAMSUNG MZTL21T9NVIDIA GH200 480GB2 x Mellanox MT2910 + 2 x QLogic FastLinQ QL41000 10/25/40/50GbEUbuntu 22.046.5.0-1007-NVIDIA-64k (aarch64)NVIDIAOpenCL 3.0 CUDA 12.4.89GCC 11.4.0 + CUDA 11.5ext41920x1200ProcessorMotherboardMemoryDiskGraphicsNetworkOSKernelDisplay DriverOpenCLCompilerFile-SystemScreen ResolutionNgc Smoke Run BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v - Scaling Governor: cppc_cpufreq performance (Boost: Disabled)- BAR1 / Visible vRAM Size: N/A - vBIOS Version: 96.00.7e.00.02- Python 3.10.12- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abcdResult OverviewPhoronix Test Suite100%100%101%101%VkFFTFinanceBenchNCNNArrayFirecl-memViennaCLclpeakVkResample

ngc smoke runarrayfire: Conjugate Gradient OpenCLcl-mem: Copycl-mem: Readcl-mem: Writeclpeak: Integer Compute INTclpeak: Single-Precision Floatclpeak: Double-Precision Doubleclpeak: Global Memory Bandwidthfinancebench: Black-Scholes OpenCLncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPUv2-yolov3v2-yolov3 - mobilenetv2-yolov3ncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - vision_transformerncnn: Vulkan GPU - FastestDetviennacl: CPU BLAS - sCOPYviennacl: CPU BLAS - sAXPYviennacl: CPU BLAS - sDOTviennacl: CPU BLAS - dCOPYviennacl: CPU BLAS - dAXPYviennacl: CPU BLAS - dDOTviennacl: CPU BLAS - dGEMV-Nviennacl: CPU BLAS - dGEMV-Tviennacl: CPU BLAS - dGEMM-NNviennacl: CPU BLAS - dGEMM-NTviennacl: CPU BLAS - dGEMM-TNviennacl: CPU BLAS - dGEMM-TTviennacl: OpenCL BLAS - sCOPYviennacl: OpenCL BLAS - sAXPYviennacl: OpenCL BLAS - sDOTviennacl: OpenCL BLAS - dCOPYviennacl: OpenCL BLAS - dAXPYviennacl: OpenCL BLAS - dDOTviennacl: OpenCL BLAS - dGEMV-Nviennacl: OpenCL BLAS - dGEMV-Tviennacl: OpenCL BLAS - dGEMM-NNviennacl: OpenCL BLAS - dGEMM-NTviennacl: OpenCL BLAS - dGEMM-TNviennacl: OpenCL BLAS - dGEMM-TTvkfft: FFT + iFFT R2C / C2Rvkfft: FFT + iFFT C2C 1D batched in half precisionvkfft: FFT + iFFT C2C Bluestein in single precisionvkfft: FFT + iFFT C2C 1D batched in double precisionvkfft: FFT + iFFT C2C 1D batched in single precisionvkfft: FFT + iFFT C2C multidimensional in single precisionvkfft: FFT + iFFT C2C Bluestein benchmark in double precisionvkfft: FFT + iFFT C2C 1D batched in single precision, no reshufflingvkresample: 2x - Doublevkresample: 2x - Singleabcd2.997308.61045.92354.933119.1064545.6232959.173483.994.3474.892.132.262.292.043.491.754.165.262.161.634.274.896.795.4314.7831.523.092920394366720271803124741168613512514113731642028260379955081.23087057752770277070423971519121786758405185774444892081019449724.2965.2302.983308.51045.92353.433144.7464547.7432961.213484.064.3734.922.162.272.292.033.551.784.235.252.181.634.284.926.805.4714.7432.323.102892392466419481806123840869913712514013831642728260479855281.53087093753770677070418091519101796758253186082437312100019003724.2945.2312.998308.61046.12354.933146.1264547.2532941.993483.954.3514.922.122.302.272.043.521.744.235.252.171.654.324.926.815.4814.7731.923.082907391766619201837124340569113912414114031642728360479955281.23087037753770007057425811528661788658256189944450712109419090924.2905.2302.997308.51046.02352.133129.3464520.9732933.633484.324.3394.912.122.272.272.043.531.774.215.262.201.624.324.916.825.4315.2231.133.122857392066319171830124741869614112414013631642628360479955381.43077053754070707070430481519691794258299190310450072132019250724.2975.230OpenBenchmarking.org

ArrayFire

ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.9Test: Conjugate Gradient OpenCLdcba0.67461.34922.02382.69843.373SE +/- 0.003, N = 3SE +/- 0.005, N = 3SE +/- 0.005, N = 3SE +/- 0.003, N = 32.9972.9982.9832.9971. (CXX) g++ options: -O3

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: Copydcba70140210280350SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3308.5308.6308.5308.61. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: Readdcba2004006008001000SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.20, N = 3SE +/- 0.00, N = 31046.01046.11045.91045.91. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: Writedcba5001000150020002500SE +/- 3.80, N = 3SE +/- 0.99, N = 3SE +/- 0.88, N = 3SE +/- 1.31, N = 32352.12354.92353.42354.91. (CC) gcc options: -O2 -flto -lOpenCL

clpeak

Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGIOPS, More Is Betterclpeak 1.1.2OpenCL Test: Integer Compute INTdcba7K14K21K28K35KSE +/- 8.15, N = 3SE +/- 0.26, N = 3SE +/- 0.09, N = 3SE +/- 2.54, N = 333129.3433146.1233144.7433119.101. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOPS, More Is Betterclpeak 1.1.2OpenCL Test: Single-Precision Floatdcba14K28K42K56K70KSE +/- 0.91, N = 3SE +/- 0.56, N = 3SE +/- 0.85, N = 3SE +/- 0.43, N = 364520.9764547.2564547.7464545.621. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOPS, More Is Betterclpeak 1.1.2OpenCL Test: Double-Precision Doubledcba7K14K21K28K35KSE +/- 1.51, N = 3SE +/- 18.62, N = 3SE +/- 0.74, N = 3SE +/- 0.74, N = 332933.6332941.9932961.2132959.171. (CXX) g++ options: -O3

OpenBenchmarking.orgGBPS, More Is Betterclpeak 1.1.2OpenCL Test: Global Memory Bandwidthdcba7001400210028003500SE +/- 0.04, N = 3SE +/- 0.27, N = 3SE +/- 0.20, N = 3SE +/- 0.33, N = 33484.323483.953484.063483.991. (CXX) g++ options: -O3

FinanceBench

FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU via OpenCL and CPU benchmarking with OpenMP. The FinanceBench test cases are focused on Black-Sholes-Merton Process with Analytic European Option engine, QMC (Sobol) Monte-Carlo method (Equity Option Example), Bonds Fixed-rate bond with flat forward curve, and Repo Securities repurchase agreement. FinanceBench was originally written by the Cavazos Lab at University of Delaware. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Black-Scholes OpenCLdcba0.98391.96782.95173.93564.9195SE +/- 0.016, N = 3SE +/- 0.010, N = 3SE +/- 0.004, N = 3SE +/- 0.010, N = 34.3394.3514.3734.3471. (CXX) g++ options: -O3 -march=native -fopenmp

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mobilenetdcba1.1072.2143.3214.4285.535SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 34.914.924.924.89MIN: 4.79 / MAX: 6.53MIN: 4.74 / MAX: 6.99MIN: 4.77 / MAX: 7.57MIN: 4.76 / MAX: 7.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2dcba0.4860.9721.4581.9442.43SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 32.122.122.162.13MIN: 1.96 / MAX: 5.5MIN: 1.96 / MAX: 3.59MIN: 2.04 / MAX: 8.11MIN: 1.99 / MAX: 3.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3dcba0.51751.0351.55252.072.5875SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 32.272.302.272.26MIN: 2.11 / MAX: 4.59MIN: 2.1 / MAX: 3.74MIN: 2.16 / MAX: 5.3MIN: 2.11 / MAX: 3.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: shufflenet-v2dcba0.51531.03061.54592.06122.5765SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 32.272.272.292.29MIN: 2.1 / MAX: 5.57MIN: 2.13 / MAX: 5.55MIN: 2.12 / MAX: 3.59MIN: 2.13 / MAX: 3.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mnasnetdcba0.4590.9181.3771.8362.295SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 32.042.042.032.04MIN: 1.87 / MAX: 6.48MIN: 1.86 / MAX: 3.85MIN: 1.94 / MAX: 3.48MIN: 1.89 / MAX: 3.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: efficientnet-b0dcba0.79881.59762.39643.19523.994SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 33.533.523.553.49MIN: 3.25 / MAX: 6.52MIN: 3.22 / MAX: 6.65MIN: 3.33 / MAX: 8.63MIN: 3.27 / MAX: 5.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: blazefacedcba0.40050.8011.20151.6022.0025SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 31.771.741.781.75MIN: 1.64 / MAX: 3.01MIN: 1.6 / MAX: 2.93MIN: 1.67 / MAX: 7.1MIN: 1.68 / MAX: 3.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: googlenetdcba0.95181.90362.85543.80724.759SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 34.214.234.234.16MIN: 4.03 / MAX: 5.75MIN: 4 / MAX: 6.41MIN: 4.01 / MAX: 6.82MIN: 3.99 / MAX: 5.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vgg16dcba1.18352.3673.55054.7345.9175SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 35.265.255.255.26MIN: 5.07 / MAX: 7.08MIN: 4.94 / MAX: 11.68MIN: 5.07 / MAX: 7.45MIN: 5.08 / MAX: 8.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet18dcba0.4950.991.4851.982.475SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 32.202.172.182.16MIN: 2.08 / MAX: 3.65MIN: 2.04 / MAX: 3.54MIN: 2.05 / MAX: 5.44MIN: 2.04 / MAX: 3.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: alexnetdcba0.37130.74261.11391.48521.8565SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 31.621.651.631.63MIN: 1.5 / MAX: 4.84MIN: 1.44 / MAX: 4.74MIN: 1.5 / MAX: 2.94MIN: 1.49 / MAX: 2.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet50dcba0.9721.9442.9163.8884.86SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 34.324.324.284.27MIN: 4.1 / MAX: 7.58MIN: 4.05 / MAX: 8.1MIN: 4.05 / MAX: 7.65MIN: 4.05 / MAX: 6.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPUv2-yolov3v2-yolov3 - Model: mobilenetv2-yolov3dcba1.1072.2143.3214.4285.535SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 34.914.924.924.89MIN: 4.79 / MAX: 6.53MIN: 4.74 / MAX: 6.99MIN: 4.77 / MAX: 7.57MIN: 4.76 / MAX: 7.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: yolov4-tinydcba246810SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 36.826.816.806.79MIN: 6.69 / MAX: 8.1MIN: 6.42 / MAX: 12.5MIN: 6.64 / MAX: 8.25MIN: 6.66 / MAX: 8.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: squeezenet_ssddcba1.2332.4663.6994.9326.165SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 35.435.485.475.43MIN: 5.17 / MAX: 7.39MIN: 5.16 / MAX: 11.04MIN: 5.22 / MAX: 11.66MIN: 5.18 / MAX: 8.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: regnety_400mdcba48121620SE +/- 0.19, N = 3SE +/- 0.24, N = 3SE +/- 0.15, N = 3SE +/- 0.13, N = 315.2214.7714.7414.78MIN: 14.15 / MAX: 21.54MIN: 13.51 / MAX: 18.11MIN: 14 / MAX: 20.37MIN: 13.74 / MAX: 17.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vision_transformerdcba816243240SE +/- 0.08, N = 3SE +/- 0.60, N = 3SE +/- 0.98, N = 3SE +/- 0.28, N = 331.1331.9232.3231.52MIN: 30.31 / MAX: 64.21MIN: 30.27 / MAX: 57.34MIN: 30.14 / MAX: 67.5MIN: 30.23 / MAX: 62.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: FastestDetdcba0.7021.4042.1062.8083.51SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 33.123.083.103.09MIN: 2.97 / MAX: 4.56MIN: 2.91 / MAX: 4.57MIN: 2.92 / MAX: 4.71MIN: 2.95 / MAX: 4.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sCOPYdcba6001200180024003000SE +/- 23.33, N = 3SE +/- 3.33, N = 3SE +/- 29.56, N = 5SE +/- 20.00, N = 328572907289229201. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sAXPYdcba8001600240032004000SE +/- 15.28, N = 3SE +/- 16.67, N = 3SE +/- 9.80, N = 5SE +/- 14.53, N = 339203917392439431. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sDOTdcba140280420560700SE +/- 3.51, N = 3SE +/- 4.33, N = 3SE +/- 5.77, N = 5SE +/- 4.18, N = 36636666646671. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dCOPYdcba400800120016002000SE +/- 14.53, N = 3SE +/- 41.63, N = 3SE +/- 17.15, N = 5SE +/- 44.85, N = 319171920194820271. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dAXPYdcba400800120016002000SE +/- 10.00, N = 3SE +/- 3.33, N = 3SE +/- 29.93, N = 5SE +/- 23.33, N = 318301837180618031. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dDOTdcba30060090012001500SE +/- 3.33, N = 3SE +/- 3.33, N = 3SE +/- 2.00, N = 5SE +/- 3.33, N = 312471243123812471. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-Ndcba90180270360450SE +/- 8.51, N = 3SE +/- 1.86, N = 3SE +/- 2.90, N = 5SE +/- 0.33, N = 34184054084111. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-Tdcba150300450600750SE +/- 10.68, N = 3SE +/- 1.20, N = 3SE +/- 3.65, N = 5SE +/- 17.19, N = 36966916996861. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NNdcba306090120150SE +/- 2.65, N = 3SE +/- 2.67, N = 3SE +/- 1.29, N = 5SE +/- 0.88, N = 31411391371351. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NTdcba306090120150SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.77, N = 5SE +/- 0.88, N = 31241241251251. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TNdcba306090120150SE +/- 0.58, N = 3SE +/- 0.58, N = 3SE +/- 0.93, N = 5SE +/- 1.20, N = 31401411401411. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TTdcba306090120150SE +/- 1.20, N = 3SE +/- 4.73, N = 3SE +/- 2.18, N = 5SE +/- 1.53, N = 31361401381371. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sCOPYdcba70140210280350SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 33163163163161. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sAXPYdcba90180270360450SE +/- 3.93, N = 3SE +/- 2.33, N = 3SE +/- 1.33, N = 3SE +/- 2.60, N = 34264274274201. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sDOTdcba60120180240300SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 32832832822821. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dCOPYdcba130260390520650SE +/- 0.58, N = 3SE +/- 0.88, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 36046046046031. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dAXPYdcba2004006008001000SE +/- 0.88, N = 3SE +/- 1.20, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 37997997987991. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dDOTdcba120240360480600SE +/- 1.00, N = 3SE +/- 1.15, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 35535525525501. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-Ndcba20406080100SE +/- 0.21, N = 3SE +/- 0.26, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 381.481.281.581.21. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-Tdcba70140210280350SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33073083083081. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NNdcba15003000450060007500SE +/- 35.28, N = 3SE +/- 31.80, N = 3SE +/- 58.97, N = 3SE +/- 31.80, N = 370537037709370571. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NTdcba16003200480064008000SE +/- 0.00, N = 3SE +/- 3.33, N = 3SE +/- 8.82, N = 3SE +/- 3.33, N = 375407537753775271. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TNdcba15003000450060007500SE +/- 45.09, N = 3SE +/- 15.28, N = 3SE +/- 46.31, N = 3SE +/- 17.64, N = 370707000706770271. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TTdcba15003000450060007500SE +/- 0.00, N = 3SE +/- 3.33, N = 3SE +/- 11.55, N = 3SE +/- 0.00, N = 370707057707070701. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

VkFFT

VkFFT is a Fast Fourier Transform (FFT) Library that is GPU accelerated by means of the Vulkan API. The VkFFT benchmark runs FFT performance differences of many different sizes before returning an overall benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.3.4Test: FFT + iFFT R2C / C2Rdcba9K18K27K36K45KSE +/- 289.59, N = 15SE +/- 552.29, N = 3SE +/- 460.34, N = 3SE +/- 298.99, N = 3430484258141809423971. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.3.4Test: FFT + iFFT C2C 1D batched in half precisiondcba30K60K90K120K150KSE +/- 377.55, N = 3SE +/- 136.79, N = 3SE +/- 506.81, N = 3SE +/- 190.55, N = 31519691528661519101519121. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.3.4Test: FFT + iFFT C2C Bluestein in single precisiondcba4K8K12K16K20KSE +/- 168.45, N = 7SE +/- 147.24, N = 3SE +/- 196.01, N = 5SE +/- 131.79, N = 3179421788617967178671. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.3.4Test: FFT + iFFT C2C 1D batched in double precisiondcba13K26K39K52K65KSE +/- 21.83, N = 3SE +/- 17.34, N = 3SE +/- 46.92, N = 3SE +/- 150.19, N = 3582995825658253584051. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.3.4Test: FFT + iFFT C2C 1D batched in single precisiondcba40K80K120K160K200KSE +/- 479.86, N = 3SE +/- 1666.00, N = 3SE +/- 1095.80, N = 3SE +/- 1557.78, N = 31903101899441860821857741. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.3.4Test: FFT + iFFT C2C multidimensional in single precisiondcba10K20K30K40K50KSE +/- 571.37, N = 3SE +/- 475.72, N = 3SE +/- 441.36, N = 3SE +/- 479.16, N = 15450074507143731444891. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.3.4Test: FFT + iFFT C2C Bluestein benchmark in double precisiondcba5K10K15K20K25KSE +/- 152.14, N = 15SE +/- 282.81, N = 3SE +/- 195.51, N = 3SE +/- 188.78, N = 3213202109421000208101. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.3.4Test: FFT + iFFT C2C 1D batched in single precision, no reshufflingdcba40K80K120K160K200KSE +/- 720.67, N = 3SE +/- 583.76, N = 3SE +/- 521.00, N = 3SE +/- 2261.14, N = 31925071909091900371944971. (CXX) g++ options: -O3

VkResample

VkResample is a Vulkan-based image upscaling library based on VkFFT. The sample input file is upscaling a 4K image to 8K using Vulkan-based GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Doubledcba612182430SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 324.3024.2924.2924.301. (CXX) g++ options: -O3

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Singledcba1.1772.3543.5314.7085.885SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 35.2305.2305.2315.2301. (CXX) g++ options: -O3

61 Results Shown

ArrayFire
cl-mem:
  Copy
  Read
  Write
clpeak:
  Integer Compute INT
  Single-Precision Float
  Double-Precision Double
  Global Memory Bandwidth
FinanceBench
NCNN:
  Vulkan GPU - mobilenet
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU - shufflenet-v2
  Vulkan GPU - mnasnet
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - blazeface
  Vulkan GPU - googlenet
  Vulkan GPU - vgg16
  Vulkan GPU - resnet18
  Vulkan GPU - alexnet
  Vulkan GPU - resnet50
  Vulkan GPUv2-yolov3v2-yolov3 - mobilenetv2-yolov3
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - squeezenet_ssd
  Vulkan GPU - regnety_400m
  Vulkan GPU - vision_transformer
  Vulkan GPU - FastestDet
ViennaCL:
  CPU BLAS - sCOPY
  CPU BLAS - sAXPY
  CPU BLAS - sDOT
  CPU BLAS - dCOPY
  CPU BLAS - dAXPY
  CPU BLAS - dDOT
  CPU BLAS - dGEMV-N
  CPU BLAS - dGEMV-T
  CPU BLAS - dGEMM-NN
  CPU BLAS - dGEMM-NT
  CPU BLAS - dGEMM-TN
  CPU BLAS - dGEMM-TT
  OpenCL BLAS - sCOPY
  OpenCL BLAS - sAXPY
  OpenCL BLAS - sDOT
  OpenCL BLAS - dCOPY
  OpenCL BLAS - dAXPY
  OpenCL BLAS - dDOT
  OpenCL BLAS - dGEMV-N
  OpenCL BLAS - dGEMV-T
  OpenCL BLAS - dGEMM-NN
  OpenCL BLAS - dGEMM-NT
  OpenCL BLAS - dGEMM-TN
  OpenCL BLAS - dGEMM-TT
VkFFT:
  FFT + iFFT R2C / C2R
  FFT + iFFT C2C 1D batched in half precision
  FFT + iFFT C2C Bluestein in single precision
  FFT + iFFT C2C 1D batched in double precision
  FFT + iFFT C2C 1D batched in single precision
  FFT + iFFT C2C multidimensional in single precision
  FFT + iFFT C2C Bluestein benchmark in double precision
  FFT + iFFT C2C 1D batched in single precision, no reshuffling
VkResample:
  2x - Double
  2x - Single