egeo-015-gpu

docker testing on Ubuntu 20.04.4 LTS 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 2307179-NE-EGEO015GP80
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BLAS (Basic Linear Algebra Sub-Routine) Tests 3 Tests
C++ Boost Tests 2 Tests
CPU Massive 4 Tests
Creator Workloads 3 Tests
HPC - High Performance Computing 8 Tests
Machine Learning 5 Tests
Multi-Core 6 Tests
NVIDIA GPU Compute 20 Tests
OpenCL 6 Tests
OpenMPI Tests 2 Tests
Python Tests 2 Tests
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Scientific Computing 2 Tests
Server CPU Tests 2 Tests
Common Workstation Benchmarks 2 Tests

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egeo-015-gpu.conf
July 16 2023
  1 Minute
egeo-015-gpu_1.conf
July 16 2023
  3 Days, 8 Hours, 3 Minutes
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egeo-015-gpuProcessorMotherboardMemoryDiskGraphicsOSKernelDisplay DriverVulkanCompilerFile-SystemScreen ResolutionSystem LayerOpenCLegeo-015-gpu.confegeo-015-gpu_1.conf2 x Intel Xeon Silver 4208 @ 3.20GHz (16 Cores / 32 Threads)Dell 0DY2X0 (2.16.2 BIOS)64GB2000GB TOSHIBA DT01ACA2NVIDIA Quadro RTX 5000 15GBUbuntu 20.04.4 LTS5.10.0-23-amd64 (x86_64)NVIDIA1.1.182GCC 9.4.0ext41024x768dockerOpenCL 3.0 CUDA 12.0.151GCC 9.4.0 + CUDA 10.1OpenBenchmarking.orgKernel Details- Transparent Huge Pages: alwaysCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-Av3uEd/gcc-9-9.4.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- egeo-015-gpu.conf: Scaling Governor: intel_cpufreq schedutil - CPU Microcode: 0x5003302 - egeo-015-gpu_1.conf: Scaling Governor: intel_cpufreq performance - CPU Microcode: 0x5003302 Graphics Details- BAR1 / Visible vRAM Size: 256 MiBPython Details- Python 3.8.10Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of Enhanced IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled

egeo-015-gpublender: BMW27 - NVIDIA OptiXblender: Classroom - NVIDIA OptiXblender: Fishy Cat - NVIDIA OptiXblender: Barbershop - NVIDIA OptiXblender: Pabellon Barcelona - NVIDIA OptiXfinancebench: Black-Scholes OpenCLhashcat: MD5hashcat: SHA1hashcat: 7-Ziphashcat: SHA-512hashcat: TrueCrypt RIPEMD160 + XTSluxcorerender: DLSC - GPUluxcorerender: Rainbow Colors and Prism - GPUmixbench: NVIDIA CUDA - Integermixbench: NVIDIA CUDA - Half Precisionmixbench: NVIDIA CUDA - Double Precisionmixbench: NVIDIA CUDA - Single Precisionncnn: 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 GPU - yolov4-tinyncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - vision_transformerncnn: Vulkan GPU - FastestDetneatbench: GPUshoc: OpenCL - Bus Speed Downloadshoc: OpenCL - Bus Speed Readbackviennacl: 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 BLASegeo-015-gpu.confegeo-015-gpu_1.conf15.2536.9925.73144.6246.920.506350153666671225913333354613317466666674389334.367.9310231.1722951.08307.9211495.48622.66201.11186.57126.85208.00336.6555.28560.472955.35517.81555.821260.25930.24639.69261.127630.70133.9432.18.19579.312354.983.389.543.565.371.368.880.639.837.940.739.6OpenBenchmarking.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.

Test: Conjugate Gradient OpenCL

egeo-015-gpu_1.conf: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result. E: what(): ArrayFire Exception (Internal error:998):

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: BMW27 - Compute: NVIDIA OptiXegeo-015-gpu_1.conf48121620SE +/- 0.14, N = 1315.25

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Classroom - Compute: NVIDIA OptiXegeo-015-gpu_1.conf918273645SE +/- 0.00, N = 336.99

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Fishy Cat - Compute: NVIDIA OptiXegeo-015-gpu_1.conf612182430SE +/- 0.14, N = 1525.73

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Barbershop - Compute: NVIDIA OptiXegeo-015-gpu_1.conf306090120150SE +/- 0.11, N = 3144.62

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXegeo-015-gpu_1.conf1122334455SE +/- 0.02, N = 346.92

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 100

egeo-015-gpu_1.conf: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found

Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200

egeo-015-gpu_1.conf: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found

Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000

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Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100

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Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200

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Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000

egeo-015-gpu_1.conf: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found

cl-mem

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

Benchmark: Copy

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Benchmark: Read

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Benchmark: Write

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clpeak

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

OpenCL Test: Integer Compute INT

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OpenCL Test: Single-Precision Float

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OpenCL Test: Double-Precision Double

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OpenCL Test: Global Memory Bandwidth

egeo-015-gpu_1.conf: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FAHBench

FAHBench is a Folding@Home benchmark on the GPU. Learn more via the OpenBenchmarking.org test page.

egeo-015-gpu_1.conf: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

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 OpenCLegeo-015-gpu_1.conf0.11390.22780.34170.45560.5695SE +/- 0.000, N = 30.5061. (CXX) g++ options: -O3 -march=native -fopenmp

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

Implementation: NVIDIA CUDA GPU - Input: water_GMX50_bare

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Hashcat

Hashcat is an open-source, advanced password recovery tool supporting GPU acceleration with OpenCL, NVIDIA CUDA, and Radeon ROCm. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: MD5egeo-015-gpu_1.conf7000M14000M21000M28000M35000MSE +/- 174159020.57, N = 335015366667

Benchmark: MD5

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OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1egeo-015-gpu_1.conf3000M6000M9000M12000M15000MSE +/- 52192634.64, N = 312259133333

Benchmark: SHA1

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OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-Zipegeo-015-gpu_1.conf120K240K360K480K600KSE +/- 896.91, N = 3546133

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512egeo-015-gpu_1.conf400M800M1200M1600M2000MSE +/- 10325427.08, N = 31746666667

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSegeo-015-gpu_1.conf90K180K270K360K450KSE +/- 592.55, N = 3438933

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.

Backend: OpenCL

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LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: GPUegeo-015-gpu_1.conf0.9811.9622.9433.9244.905SE +/- 0.01, N = 34.36MIN: 3.37 / MAX: 4.49

Scene: Danish Mood - Acceleration: GPU

egeo-015-gpu_1.conf: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: RUNTIME ERROR: MergeSampleBuffersOCL OpenCL program compilation error

Scene: Orange Juice - Acceleration: GPU

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Scene: LuxCore Benchmark - Acceleration: GPU

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OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: GPUegeo-015-gpu_1.conf246810SE +/- 0.06, N = 37.93MIN: 5.02 / MAX: 9.08

MandelGPU

MandelGPU is an OpenCL benchmark and this test runs with the OpenCL rendering float4 kernel with a maximum of 4096 iterations. Learn more via the OpenBenchmarking.org test page.

OpenCL Device: GPU

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Mixbench

A benchmark suite for GPUs on mixed operational intensity kernels. Learn more via the OpenBenchmarking.org test page.

Backend: OpenCL - Benchmark: Integer

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OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Integeregeo-015-gpu_1.conf2K4K6K8K10KSE +/- 21.26, N = 310231.171. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

Backend: OpenCL - Benchmark: Double Precision

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Backend: OpenCL - Benchmark: Single Precision

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OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Half Precisionegeo-015-gpu_1.conf5K10K15K20K25KSE +/- 8.86, N = 322951.081. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Double Precisionegeo-015-gpu_1.conf70140210280350SE +/- 0.00, N = 3307.921. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Single Precisionegeo-015-gpu_1.conf2K4K6K8K10KSE +/- 0.14, N = 311495.481. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

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 20220729Target: Vulkan GPU - Model: mobilenetegeo-015-gpu_1.conf130260390520650SE +/- 1.29, N = 3622.66MIN: 592.6 / MAX: 667.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2egeo-015-gpu_1.conf4080120160200SE +/- 0.30, N = 3201.11MIN: 199.81 / MAX: 209.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3egeo-015-gpu_1.conf4080120160200SE +/- 0.36, N = 3186.57MIN: 184.92 / MAX: 193.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: shufflenet-v2egeo-015-gpu_1.conf306090120150SE +/- 0.70, N = 3126.85MIN: 124.67 / MAX: 132.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: mnasnetegeo-015-gpu_1.conf50100150200250SE +/- 0.28, N = 3208.00MIN: 206.86 / MAX: 215.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: efficientnet-b0egeo-015-gpu_1.conf70140210280350SE +/- 0.63, N = 3336.65MIN: 334.17 / MAX: 352.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: blazefaceegeo-015-gpu_1.conf1224364860SE +/- 0.08, N = 355.28MIN: 46.28 / MAX: 65.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: googlenetegeo-015-gpu_1.conf120240360480600SE +/- 2.85, N = 3560.47MIN: 554.54 / MAX: 624.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: vgg16egeo-015-gpu_1.conf6001200180024003000SE +/- 4.93, N = 32955.35MIN: 2945.27 / MAX: 2991.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: resnet18egeo-015-gpu_1.conf110220330440550SE +/- 3.53, N = 3517.81MIN: 511.99 / MAX: 544.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: alexnetegeo-015-gpu_1.conf120240360480600SE +/- 2.15, N = 3555.82MIN: 551.5 / MAX: 586.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: resnet50egeo-015-gpu_1.conf30060090012001500SE +/- 8.10, N = 31260.25MIN: 1249.21 / MAX: 1318.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: yolov4-tinyegeo-015-gpu_1.conf2004006008001000SE +/- 0.59, N = 3930.24MIN: 910.08 / MAX: 995.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: squeezenet_ssdegeo-015-gpu_1.conf140280420560700SE +/- 7.48, N = 3639.69MIN: 605.02 / MAX: 702.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: regnety_400megeo-015-gpu_1.conf60120180240300SE +/- 0.05, N = 3261.12MIN: 258.8 / MAX: 272.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: vision_transformeregeo-015-gpu_1.conf16003200480064008000SE +/- 32.42, N = 37630.70MIN: 7421.11 / MAX: 8206.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: FastestDetegeo-015-gpu_1.conf306090120150SE +/- 0.30, N = 3133.94MIN: 132.45 / MAX: 139.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NeatBench

NeatBench is a benchmark of the cross-platform Neat Video software on the CPU and optional GPU (OpenCL / CUDA) support. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: GPUegeo-015-gpu_1.conf714212835SE +/- 0.00, N = 332.1

PlaidML

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

FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL

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FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL

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FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL

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FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL

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FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL

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RedShift Demo

This is a test of MAXON's RedShift demo build that currently requires NVIDIA GPU acceleration. Learn more via the OpenBenchmarking.org test page.

egeo-015-gpu_1.conf: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./redshift: 3: /usr/redshift/bin/redshiftBenchmark: not found

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

Test: OpenCL Particle Filter

egeo-015-gpu_1.conf: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result. E: ERROR: clCreateKernel(likelihood_kernel) failed.

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. SHOC provides a number of different benchmark programs for evaluating the performance and stability of compute devices. Learn more via the OpenBenchmarking.org test page.

Target: OpenCL - Benchmark: S3D

egeo-015-gpu_1.conf: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Target: OpenCL - Benchmark: Triad

egeo-015-gpu_1.conf: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Target: OpenCL - Benchmark: FFT SP

egeo-015-gpu_1.conf: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Target: OpenCL - Benchmark: MD5 Hash

egeo-015-gpu_1.conf: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Target: OpenCL - Benchmark: Reduction

egeo-015-gpu_1.conf: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Target: OpenCL - Benchmark: GEMM SGEMM_N

egeo-015-gpu_1.conf: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Target: OpenCL - Benchmark: Max SP Flops

egeo-015-gpu_1.conf: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed Downloadegeo-015-gpu_1.conf246810SE +/- 0.0365, N = 38.19571. (CXX) g++ options: -O2 -lSHOCCommon -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed Readbackegeo-015-gpu_1.conf3691215SE +/- 0.0735, N = 109.31231. (CXX) g++ options: -O2 -lSHOCCommon -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft

Target: OpenCL - Benchmark: Texture Read Bandwidth

egeo-015-gpu_1.conf: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

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 - sCOPYegeo-015-gpu_1.conf1224364860SE +/- 0.56, N = 354.91. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sAXPYegeo-015-gpu_1.conf20406080100SE +/- 0.59, N = 383.31. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sDOTegeo-015-gpu_1.conf20406080100SE +/- 1.18, N = 389.51. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dCOPYegeo-015-gpu_1.conf1020304050SE +/- 0.26, N = 343.51. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dAXPYegeo-015-gpu_1.conf1530456075SE +/- 0.60, N = 365.31. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dDOTegeo-015-gpu_1.conf1632486480SE +/- 1.05, N = 371.31. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-Negeo-015-gpu_1.conf1530456075SE +/- 0.75, N = 368.81. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-Tegeo-015-gpu_1.conf20406080100SE +/- 0.56, N = 380.61. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NNegeo-015-gpu_1.conf918273645SE +/- 0.06, N = 339.81. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NTegeo-015-gpu_1.conf918273645SE +/- 0.26, N = 337.91. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TNegeo-015-gpu_1.conf918273645SE +/- 0.18, N = 340.71. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TTegeo-015-gpu_1.conf918273645SE +/- 0.05, N = 239.61. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

Test: OpenCL BLAS

egeo-015-gpu_1.conf: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: what(): ViennaCL: FATAL ERROR: CL_INVALID_PROGRAM_EXECUTABLE.