test_002

AMD Ryzen 9 7900X3D 12-Core testing with a ASUS ProArt B650-CREATOR (2007 BIOS) and ASUS NVIDIA GeForce RTX 3070 8GB on Ubuntu 24.04 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 2410181-NE-TEST0022402
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test_002
October 18
  8 Hours, 1 Minute
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test_002OpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 7900X3D 12-Core @ 5.66GHz (12 Cores / 24 Threads)ASUS ProArt B650-CREATOR (2007 BIOS)AMD Device 14d82 x 32 GB DDR5-4800MT/s Kingston KF556C36-322000GB Samsung SSD 990 PRO 2TBASUS NVIDIA GeForce RTX 3070 8GBNVIDIA GA104 HD AudioHP E242Realtek RTL8111/8168/8211/8411 + Realtek RTL8125 2.5GbEUbuntu 24.046.8.0-47-generic (x86_64)GNOME Shell 46.0X Server 1.21.1.11NVIDIA 560.35.03GCC 13.2.0 + CUDA 12.6ext41920x1200ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverCompilerFile-SystemScreen ResolutionTest_002 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --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 - Scaling Governor: amd-pstate-epp performance (EPP: performance) - CPU Microcode: 0xa601206 - GLAMOR - BAR1 / Visible vRAM Size: 8192 MiB - vBIOS Version: 94.04.3a.40.2d- GPU Compute Cores: 5888- Python 3.12.3- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

test_002betsy: ETC1 - Highestbetsy: ETC2 RGB - Highestncnn: 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 - FastestDetgromacs: NVIDIA CUDA GPU - water_GMX50_bareblender: BMW27 - NVIDIA OptiXblender: Junkshop - NVIDIA OptiXblender: Classroom - NVIDIA OptiXblender: Fishy Cat - NVIDIA OptiXblender: Barbershop - NVIDIA OptiXblender: Pabellon Barcelona - NVIDIA OptiXneatbench: GPUindigobench: OpenCL GPU - Bedroomindigobench: OpenCL GPU - Supercarluxcorerender: DLSC - GPUluxcorerender: Danish Mood - GPUluxcorerender: Orange Juice - GPUluxcorerender: LuxCore Benchmark - GPUluxcorerender: Rainbow Colors and Prism - GPUfahbench: hashcat: MD5hashcat: SHA1hashcat: 7-Ziphashcat: SHA-512hashcat: TrueCrypt RIPEMD160 + XTSmixbench: NVIDIA CUDA - Integermixbench: NVIDIA CUDA - Half Precisionmixbench: NVIDIA CUDA - Double Precisionmixbench: NVIDIA CUDA - Single Precisionnamd-cuda: ATPase Simulation - 327,506 Atomsoctanebench: Total Scoreviennacl: 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-TTrealsr-ncnn: 4x - Norealsr-ncnn: 4x - Yeswaifu2x-ncnn: 2x - 3 - Yestest_002166.577165.42211.974.584.594.844.275.972.0011.7235.817.465.7415.1511.9718.609.8011.4854.225.5015.11210.4417.8626.2818.0189.6929.06307013.17536.8498.485.898.407.4723.13269.6185410672000001257613333365530018694666674839679956.8722007.25301.6121228.420.09577399.09468226138124581.6125119.113215459.556.963.460.78.99348.7814.661OpenBenchmarking.org

Betsy GPU Compressor

Betsy is an open-source GPU compressor of various GPU compression techniques. Betsy is written in GLSL for Vulkan/OpenGL (compute shader) support for GPU-based texture compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC1 - Quality: Highesttest_0024080120160200SE +/- 1.14, N = 3166.58

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC2 RGB - Quality: Highesttest_0024080120160200SE +/- 0.04, N = 3165.42

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

test_002: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'

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

test_002: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'

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

test_002: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'

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

test_002: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'

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

test_002: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'

LeelaChessZero

Backend: OpenCL

test_002: The test quit with a non-zero exit status. E: ./lczero: line 3: ./lc0: No such file or directory

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

test_002: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found

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

test_002: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found

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

test_002: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found

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

test_002: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found

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

test_002: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found

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

test_002: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found

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

test_002: The test quit with a non-zero exit status.

Target: OpenCL - Benchmark: Triad

test_002: The test quit with a non-zero exit status.

Target: OpenCL - Benchmark: FFT SP

test_002: The test quit with a non-zero exit status.

Target: OpenCL - Benchmark: MD5 Hash

test_002: The test quit with a non-zero exit status.

Target: OpenCL - Benchmark: Reduction

test_002: The test quit with a non-zero exit status.

Target: OpenCL - Benchmark: GEMM SGEMM_N

test_002: The test quit with a non-zero exit status.

Target: OpenCL - Benchmark: Max SP Flops

test_002: The test quit with a non-zero exit status.

Target: OpenCL - Benchmark: Bus Speed Download

test_002: The test quit with a non-zero exit status.

Target: OpenCL - Benchmark: Bus Speed Readback

test_002: The test quit with a non-zero exit status.

Target: OpenCL - Benchmark: Texture Read Bandwidth

test_002: The test quit with a non-zero exit status.

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: mobilenettest_0023691215SE +/- 0.13, N = 1511.97MIN: 8.76 / MAX: 160.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2test_0021.03052.0613.09154.1225.1525SE +/- 0.11, N = 154.58MIN: 3.39 / MAX: 181.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3test_0021.03282.06563.09844.13125.164SE +/- 0.16, N = 154.59MIN: 3.43 / MAX: 129.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: shufflenet-v2test_0021.0892.1783.2674.3565.445SE +/- 0.06, N = 154.84MIN: 3.5 / MAX: 147.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mnasnettest_0020.96081.92162.88243.84324.804SE +/- 0.07, N = 154.27MIN: 3.16 / MAX: 133.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: efficientnet-b0test_0021.34332.68664.02995.37326.7165SE +/- 0.24, N = 155.97MIN: 4.13 / MAX: 180.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: blazefacetest_0020.450.91.351.82.25SE +/- 0.10, N = 152.00MIN: 1.04 / MAX: 76.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: googlenettest_0023691215SE +/- 0.17, N = 1511.72MIN: 8 / MAX: 244.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vgg16test_002816243240SE +/- 0.59, N = 1535.81MIN: 25.17 / MAX: 344.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet18test_002246810SE +/- 0.20, N = 157.46MIN: 5.16 / MAX: 294.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: alexnettest_0021.29152.5833.87455.1666.4575SE +/- 0.18, N = 155.74MIN: 3.82 / MAX: 213.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet50test_00248121620SE +/- 0.19, N = 1515.15MIN: 10.79 / MAX: 156.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPUv2-yolov3v2-yolov3 - Model: mobilenetv2-yolov3test_0023691215SE +/- 0.13, N = 1511.97MIN: 8.76 / MAX: 160.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: yolov4-tinytest_002510152025SE +/- 0.19, N = 1518.60MIN: 13.38 / MAX: 316.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: squeezenet_ssdtest_0023691215SE +/- 0.16, N = 159.80MIN: 6.81 / MAX: 182.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: regnety_400mtest_0023691215SE +/- 0.16, N = 1511.48MIN: 7.77 / MAX: 272.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vision_transformertest_0021224364860SE +/- 0.28, N = 1554.22MIN: 40.42 / MAX: 312.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: FastestDettest_0021.23752.4753.71254.956.1875SE +/- 0.15, N = 155.50MIN: 3.02 / MAX: 153.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2024Implementation: NVIDIA CUDA GPU - Input: water_GMX50_baretest_00248121620SE +/- 0.02, N = 315.111. (CXX) g++ options: -O3 -lm

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

test_002: The test quit with a non-zero exit status. E: ./rodinia: 49: ./OCL_particlefilter_double: not found

ArrayFire

Test: Conjugate Gradient OpenCL

test_002: The test run did not produce a result. E: ./arrayfire: 7: ./cg_opencl: not found

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.2Blend File: BMW27 - Compute: NVIDIA OptiXtest_0023691215SE +/- 0.07, N = 1310.44

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.2Blend File: Junkshop - Compute: NVIDIA OptiXtest_00248121620SE +/- 0.17, N = 617.86

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.2Blend File: Classroom - Compute: NVIDIA OptiXtest_002612182430SE +/- 0.04, N = 326.28

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.2Blend File: Fishy Cat - Compute: NVIDIA OptiXtest_00248121620SE +/- 0.07, N = 318.01

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.2Blend File: Barbershop - Compute: NVIDIA OptiXtest_00220406080100SE +/- 0.05, N = 389.69

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.2Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXtest_002714212835SE +/- 0.01, N = 329.06

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: GPUtest_0027001400210028003500SE +/- 0.00, N = 33070

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: Bedroomtest_0023691215SE +/- 0.00, N = 313.18

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: Supercartest_002816243240SE +/- 0.05, N = 336.85

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: GPUtest_002246810SE +/- 0.00, N = 38.48MIN: 8.35 / MAX: 8.66

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: GPUtest_0021.32532.65063.97595.30126.6265SE +/- 0.05, N = 35.89MIN: 2.03 / MAX: 7.03

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: GPUtest_002246810SE +/- 0.05, N = 38.40MIN: 6.8 / MAX: 10.5

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: GPUtest_002246810SE +/- 0.02, N = 37.47MIN: 2.84 / MAX: 8.69

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: GPUtest_002612182430SE +/- 0.02, N = 323.13MIN: 21.09 / MAX: 24.5

FAHBench

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

OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2test_00260120180240300SE +/- 0.08, N = 3269.62

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: MD5test_0029000M18000M27000M36000M45000MSE +/- 44800334.82, N = 341067200000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1test_0023000M6000M9000M12000M15000MSE +/- 138456013.87, N = 312576133333

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-Ziptest_002140K280K420K560K700KSE +/- 1307.67, N = 3655300

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512test_002400M800M1200M1600M2000MSE +/- 1041366.62, N = 31869466667

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTStest_002100K200K300K400K500KSE +/- 617.34, N = 3483967

Mixbench

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

Backend: OpenCL - Benchmark: Integer

test_002: The test quit with a non-zero exit status. E: ./mixbench: 3: ./mixbench-ocl-ro: not found

OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Integertest_0022K4K6K8K10KSE +/- 7.01, N = 39956.871. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

Backend: OpenCL - Benchmark: Double Precision

test_002: The test quit with a non-zero exit status. E: ./mixbench: 3: ./mixbench-ocl-ro: not found

Backend: OpenCL - Benchmark: Single Precision

test_002: The test quit with a non-zero exit status. E: ./mixbench: 3: ./mixbench-ocl-ro: not found

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Half Precisiontest_0025K10K15K20K25KSE +/- 4.65, N = 322007.251. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Double Precisiontest_00270140210280350SE +/- 1.01, N = 3301.611. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Single Precisiontest_0025K10K15K20K25KSE +/- 125.04, N = 321228.421. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

NAMD CUDA

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. This version of the NAMD test profile uses CUDA GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.14ATPase Simulation - 327,506 Atomstest_0020.02150.0430.06450.0860.1075SE +/- 0.00092, N = 30.09577

OctaneBench

OctaneBench is a test of the OctaneRender on the GPU and requires the use of NVIDIA CUDA. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterOctaneBench 2020.1Total Scoretest_00290180270360450399.09

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.

test_002: The test quit with a non-zero exit status. E: ./redshift: 3: /usr/redshift/bin/redshiftBenchmark: not found

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.

Benchmark: Black-Scholes OpenCL

test_002: The test quit with a non-zero exit status. E: ./financebench: line 4: ./blackScholesAnalyticEngine.exe: No such file or directory

cl-mem

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

Benchmark: Copy

test_002: The test quit with a non-zero exit status. E: ./cl-mem: 3: ./cl-mem: not found

Benchmark: Read

test_002: The test quit with a non-zero exit status. E: ./cl-mem: 3: ./cl-mem: not found

Benchmark: Write

test_002: The test quit with a non-zero exit status. E: ./cl-mem: 3: ./cl-mem: not found

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

test_002: The test run did not produce a result. E: ./clpeak: 3: ./clpeak: not found

OpenCL Test: Single-Precision Float

test_002: The test run did not produce a result. E: ./clpeak: 3: ./clpeak: not found

OpenCL Test: Double-Precision Double

test_002: The test run did not produce a result. E: ./clpeak: 3: ./clpeak: not found

OpenCL Test: Global Memory Bandwidth

test_002: The test run did not produce a result. E: ./clpeak: 3: ./clpeak: not found

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

test_002: The test quit with a non-zero exit status. E: ./mandelGPU: error while loading shared libraries: libglut.so.3: cannot open shared object file: No such file or directory

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 - sCOPYtest_00260120180240300SE +/- 5.00, N = 152611. (CXX) g++ options: -fopenmp -O3 -rdynamic

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sAXPYtest_00280160240320400SE +/- 7.10, N = 153811. (CXX) g++ options: -fopenmp -O3 -rdynamic

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sDOTtest_00250100150200250SE +/- 4.92, N = 152451. (CXX) g++ options: -fopenmp -O3 -rdynamic

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dCOPYtest_00220406080100SE +/- 1.23, N = 1581.61. (CXX) g++ options: -fopenmp -O3 -rdynamic

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dAXPYtest_002306090120150SE +/- 1.26, N = 151251. (CXX) g++ options: -fopenmp -O3 -rdynamic

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dDOTtest_002306090120150SE +/- 2.04, N = 15119.11. (CXX) g++ options: -fopenmp -O3 -rdynamic

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-Ntest_002306090120150SE +/- 2.64, N = 151321. (CXX) g++ options: -fopenmp -O3 -rdynamic

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-Ttest_002306090120150SE +/- 3.34, N = 151541. (CXX) g++ options: -fopenmp -O3 -rdynamic

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NNtest_0021326395265SE +/- 0.19, N = 1559.51. (CXX) g++ options: -fopenmp -O3 -rdynamic

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NTtest_0021326395265SE +/- 0.13, N = 1556.91. (CXX) g++ options: -fopenmp -O3 -rdynamic

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TNtest_0021428425670SE +/- 0.35, N = 1563.41. (CXX) g++ options: -fopenmp -O3 -rdynamic

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TTtest_0021428425670SE +/- 0.27, N = 1560.71. (CXX) g++ options: -fopenmp -O3 -rdynamic

Test: OpenCL BLAS

test_002: The test quit with a non-zero exit status. E: ./viennacl: 2: ./ViennaCL-1.7.1/build/examples/benchmarks/dense_blas-bench-opencl: not found

Libplacebo

Libplacebo is a multimedia rendering library based on the core rendering code of the MPV player. The libplacebo benchmark relies on the Vulkan API and tests various primitives. Learn more via the OpenBenchmarking.org test page.

test_002: The test quit with a non-zero exit status. E: ./libplacebo: 3: ./src/bench: not found

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: Notest_0023691215SE +/- 0.007, N = 38.993

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: Yestest_0021122334455SE +/- 0.09, N = 348.78

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.

Test: FFT + iFFT R2C / C2R

test_002: The test quit with a non-zero exit status. E: ./vkfft: 3: ./VkFFT_TestSuite: not found

Test: FFT + iFFT C2C 1D batched in half precision

test_002: The test quit with a non-zero exit status. E: ./vkfft: 3: ./VkFFT_TestSuite: not found

Test: FFT + iFFT C2C Bluestein in single precision

test_002: The test quit with a non-zero exit status. E: ./vkfft: 3: ./VkFFT_TestSuite: not found

Test: FFT + iFFT C2C 1D batched in double precision

test_002: The test quit with a non-zero exit status. E: ./vkfft: 3: ./VkFFT_TestSuite: not found

Test: FFT + iFFT C2C 1D batched in single precision

test_002: The test quit with a non-zero exit status. E: ./vkfft: 3: ./VkFFT_TestSuite: not found

Test: FFT + iFFT C2C multidimensional in single precision

test_002: The test quit with a non-zero exit status. E: ./vkfft: 3: ./VkFFT_TestSuite: not found

Test: FFT + iFFT C2C Bluestein benchmark in double precision

test_002: The test quit with a non-zero exit status. E: ./vkfft: 3: ./VkFFT_TestSuite: not found

Test: FFT + iFFT C2C 1D batched in single precision, no reshuffling

test_002: The test quit with a non-zero exit status. E: ./vkfft: 3: ./VkFFT_TestSuite: not found

vkpeak

Vkpeak is a Vulkan compute benchmark inspired by OpenCL's clpeak. Vkpeak provides Vulkan compute performance measurements for FP16 / FP32 / FP64 / INT16 / INT32 scalar and vec4 performance. Learn more via the OpenBenchmarking.org test page.

test_002: The test quit with a non-zero exit status.

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.

Upscale: 2x - Precision: Double

test_002: The test quit with a non-zero exit status. E: ./vkresample: 3: ./VkResample: not found

Upscale: 2x - Precision: Single

test_002: The test quit with a non-zero exit status. E: ./vkresample: 3: ./VkResample: not found

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.

Scale: 2x - Denoise: 3 - TAA: No

test_002: The test run did not produce a result.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: Yestest_0021.04872.09743.14614.19485.2435SE +/- 0.004, N = 34.661

62 Results Shown

Betsy GPU Compressor:
  ETC1 - Highest
  ETC2 RGB - Highest
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
GROMACS
Blender:
  BMW27 - NVIDIA OptiX
  Junkshop - NVIDIA OptiX
  Classroom - NVIDIA OptiX
  Fishy Cat - NVIDIA OptiX
  Barbershop - NVIDIA OptiX
  Pabellon Barcelona - NVIDIA OptiX
NeatBench
IndigoBench:
  OpenCL GPU - Bedroom
  OpenCL GPU - Supercar
LuxCoreRender:
  DLSC - GPU
  Danish Mood - GPU
  Orange Juice - GPU
  LuxCore Benchmark - GPU
  Rainbow Colors and Prism - GPU
FAHBench
Hashcat:
  MD5
  SHA1
  7-Zip
  SHA-512
  TrueCrypt RIPEMD160 + XTS
Mixbench:
  NVIDIA CUDA - Integer
  NVIDIA CUDA - Half Precision
  NVIDIA CUDA - Double Precision
  NVIDIA CUDA - Single Precision
NAMD CUDA
OctaneBench
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
RealSR-NCNN:
  4x - No
  4x - Yes
Waifu2x-NCNN Vulkan