pts-result-gpu-30-05-2024.list

2 x AMD EPYC 7452 32-Core testing with a Supermicro AS-2124GQ-NART H12DSG-Q-CPU6 v1.01 (1.0a BIOS) and NVIDIA A100-SXM4-40GB on CentOS Linux 7 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 2407234-NE-PTSRESULT61
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BLAS (Basic Linear Algebra Sub-Routine) Tests 3 Tests
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pts-config-gpu-30-05-2024
May 30
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GPU-run-30-05-2024

Processor: 2 x AMD EPYC 7452 32-Core @ 2.35GHz (64 Cores), Motherboard: Supermicro AS-2124GQ-NART H12DSG-Q-CPU6 v1.01 (1.0a BIOS), Chipset: AMD Starship/Matisse, Memory: 16 x 32 GB DDR4-3200MT/s Samsung M393A4K40DB3-CWE, Disk: 252GB, Graphics: NVIDIA A100-SXM4-40GB, Network: 2 x Intel 10-Gigabit X540-AT2

OS: CentOS Linux 7, Kernel: 5.4.265-1.el7.elrepo.x86_64 (x86_64), Display Server: X Server, Display Driver: NVIDIA, Vulkan: 1.3.260, Compiler: GCC 4.8.5 20150623 + CUDA 12.3, File-System: tmpfs, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --build=x86_64-redhat-linux --disable-libgcj --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,objc,obj-c++,java,fortran,ada,go,lto --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=x86-64 --with-linker-hash-style=gnu --with-tune=generic
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x830107a
Graphics Notes: BAR1 / Visible vRAM Size: 65536 MiB - vBIOS Version: 92.00.19.00.13
Python Notes: Python 2.7.5 + Python 3.6.8
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Vulnerable + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

pts-config-gpu-30-05-2024

OS: CentOS Linux 7, Kernel: 5.4.265-1.el7.elrepo.x86_64 (x86_64), Display Server: X Server, Display Driver: NVIDIA, Vulkan: 1.3.260, Compiler: GCC 8.3.0 + CUDA 12.3, File-System: tmpfs, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: always
Environment Notes: EXTRA_NVCCFLAGS=-cudart=shared
Compiler Notes: --disable-multilib --enable-languages=c,c++
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x830107a
Graphics Notes: BAR1 / Visible vRAM Size: 65536 MiB - vBIOS Version: 92.00.19.00.13
Python Notes: Python 2.7.5 + Python 3.9.7
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Vulnerable + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

pts-result-gpu-30-05-2024.listOpenBenchmarking.orgPhoronix Test Suite2 x AMD EPYC 7452 32-Core @ 2.35GHz (64 Cores)Supermicro AS-2124GQ-NART H12DSG-Q-CPU6 v1.01 (1.0a BIOS)AMD Starship/Matisse16 x 32 GB DDR4-3200MT/s Samsung M393A4K40DB3-CWE252GBNVIDIA A100-SXM4-40GB2 x Intel 10-Gigabit X540-AT2CentOS Linux 75.4.265-1.el7.elrepo.x86_64 (x86_64)X ServerNVIDIA1.3.260GCC 4.8.5 20150623 + CUDA 12.3GCC 8.3.0 + CUDA 12.3tmpfs1024x768ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDisplay ServerDisplay DriverVulkanCompilersFile-SystemScreen ResolutionPts-result-gpu-30-05-2024.list BenchmarksSystem Logs- Transparent Huge Pages: always- GPU-run-30-05-2024: --build=x86_64-redhat-linux --disable-libgcj --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,objc,obj-c++,java,fortran,ada,go,lto --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=x86-64 --with-linker-hash-style=gnu --with-tune=generic - pts-config-gpu-30-05-2024: --disable-multilib --enable-languages=c,c++- Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x830107a - BAR1 / Visible vRAM Size: 65536 MiB - vBIOS Version: 92.00.19.00.13- GPU-run-30-05-2024: Python 2.7.5 + Python 3.6.8- pts-config-gpu-30-05-2024: Python 2.7.5 + Python 3.9.7- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Vulnerable + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - pts-config-gpu-30-05-2024: EXTRA_NVCCFLAGS=-cudart=shared

pts-result-gpu-30-05-2024.listviennacl: CPU BLAS - dGEMM-TTviennacl: CPU BLAS - dGEMM-TNviennacl: CPU BLAS - dGEMM-NTviennacl: CPU BLAS - dGEMM-NNviennacl: CPU BLAS - dGEMV-Tviennacl: CPU BLAS - sDOTfinancebench: Black-Scholes OpenCLrodinia: OpenCL Particle Filterclpeak: Global Memory Bandwidthclpeak: Double-Precision Doubleclpeak: Single-Precision Floatclpeak: Integer Compute INTcl-mem: Writecl-mem: Readcl-mem: Copymixbench: OpenCL - Double Precisionmixbench: NVIDIA CUDA - Integermixbench: OpenCL - Integerhashcat: TrueCrypt RIPEMD160 + XTShashcat: SHA-512hashcat: 7-Ziphashcat: SHA1ncnn: Vulkan GPU - FastestDetncnn: Vulkan GPU - vision_transformerncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPUv2-yolov3v2-yolov3 - mobilenetv2-yolov3ncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - mobilenetviennacl: CPU BLAS - dGEMV-Nviennacl: CPU BLAS - dDOTviennacl: CPU BLAS - dAXPYviennacl: CPU BLAS - dCOPYviennacl: CPU BLAS - sAXPYviennacl: CPU BLAS - sCOPYmixbench: NVIDIA CUDA - Single Precisionmixbench: NVIDIA CUDA - Double Precisionmixbench: NVIDIA CUDA - Half Precisionmixbench: OpenCL - Single Precisionhashcat: MD5GPU-run-30-05-2024pts-config-gpu-30-05-202476.385.168.874.64504181.1913.3021300.107979.3117926.3816043.491242.6780.7231.77699.8412812.4914801.8732991331284836666743859338812643333318.25156.2641.6437.7470.3239.7358.7717.8928.99124.6238.148.9723.1615.4021.5918.3018.9739.73157.262794874273647015201.957814.5044809.0815389.52170625637500OpenBenchmarking.org

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.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TTpts-config-gpu-30-05-202420406080100SE +/- 0.79, N = 1576.3

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TNpts-config-gpu-30-05-202420406080100SE +/- 0.59, N = 1585.1

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NTpts-config-gpu-30-05-20241530456075SE +/- 0.48, N = 1568.8

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NNpts-config-gpu-30-05-202420406080100SE +/- 0.41, N = 1574.6

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-Tpts-config-gpu-30-05-2024100200300400500SE +/- 5.98, N = 15450

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sDOTpts-config-gpu-30-05-202490180270360450SE +/- 1.84, N = 15418

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 OpenCLpts-config-gpu-30-05-20240.2680.5360.8041.0721.34SE +/- 0.005, N = 31.1911. (CXX) g++ options: -O3 -march=native -fopenmp

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle Filterpts-config-gpu-30-05-20240.7431.4862.2292.9723.715SE +/- 0.027, N = 133.3021. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl

clpeak

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

OpenBenchmarking.orgGBPS, More Is Betterclpeak 1.1.2OpenCL Test: Global Memory Bandwidthpts-config-gpu-30-05-202430060090012001500SE +/- 3.13, N = 31300.10

OpenBenchmarking.orgGFLOPS, More Is Betterclpeak 1.1.2OpenCL Test: Double-Precision Doublepts-config-gpu-30-05-20242K4K6K8K10KSE +/- 119.81, N = 127979.31

OpenBenchmarking.orgGFLOPS, More Is Betterclpeak 1.1.2OpenCL Test: Single-Precision Floatpts-config-gpu-30-05-20244K8K12K16K20KSE +/- 165.14, N = 317926.38

OpenBenchmarking.orgGIOPS, More Is Betterclpeak 1.1.2OpenCL Test: Integer Compute INTpts-config-gpu-30-05-20243K6K9K12K15KSE +/- 199.00, N = 1516043.49

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: Writepts-config-gpu-30-05-202430060090012001500SE +/- 0.45, N = 31242.61. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: Readpts-config-gpu-30-05-20242004006008001000SE +/- 0.06, N = 3780.71. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: Copypts-config-gpu-30-05-202450100150200250SE +/- 0.03, N = 3231.71. (CC) gcc options: -O2 -flto -lOpenCL

Mixbench

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

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: Double Precisionpts-config-gpu-30-05-202417003400510068008500SE +/- 113.22, N = 157699.841. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Integerpts-config-gpu-30-05-20243K6K9K12K15KSE +/- 5.64, N = 312812.491. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: Integerpts-config-gpu-30-05-20243K6K9K12K15KSE +/- 4.35, N = 314801.871. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

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: TrueCrypt RIPEMD160 + XTSpts-config-gpu-30-05-2024700K1400K2100K2800K3500KSE +/- 592.55, N = 33299133

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512pts-config-gpu-30-05-20243000M6000M9000M12000M15000MSE +/- 3468589.21, N = 312848366667

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-Zippts-config-gpu-30-05-2024900K1800K2700K3600K4500KSE +/- 25606.34, N = 34385933

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1pts-config-gpu-30-05-202420000M40000M60000M80000M100000MSE +/- 104285670.69, N = 388126433333

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.

Acceleration: GPU

pts-config-gpu-30-05-2024: The test run did not produce a result.

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

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status.

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status.

Blend File: Barbershop - Compute: NVIDIA OptiX

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status.

Blend File: Fishy Cat - Compute: NVIDIA OptiX

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status.

Blend File: Classroom - Compute: NVIDIA OptiX

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status.

Blend File: Junkshop - Compute: NVIDIA OptiX

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status.

Blend File: BMW27 - Compute: NVIDIA OptiX

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status.

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: Inference - Network: DenseNet 201 - Device: OpenCL

pts-config-gpu-30-05-2024: The test run did not produce a result.

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

pts-config-gpu-30-05-2024: The test run did not produce a result.

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

pts-config-gpu-30-05-2024: The test run did not produce a result.

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

pts-config-gpu-30-05-2024: The test run did not produce a result.

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

pts-config-gpu-30-05-2024: The test run did not produce a result.

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: FastestDetpts-config-gpu-30-05-202448121620SE +/- 1.79, N = 918.25MIN: 11.3 / MAX: 482.82

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vision_transformerpts-config-gpu-30-05-2024306090120150SE +/- 3.66, N = 9156.26MIN: 137.55 / MAX: 893.71

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: regnety_400mpts-config-gpu-30-05-20241020304050SE +/- 2.44, N = 941.64MIN: 28.21 / MAX: 229.16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: squeezenet_ssdpts-config-gpu-30-05-2024918273645SE +/- 1.52, N = 937.74MIN: 27.11 / MAX: 623.11

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: yolov4-tinypts-config-gpu-30-05-20241632486480SE +/- 2.29, N = 970.32MIN: 50.39 / MAX: 562.92

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPUv2-yolov3v2-yolov3 - Model: mobilenetv2-yolov3pts-config-gpu-30-05-2024918273645SE +/- 1.15, N = 939.73MIN: 29.4 / MAX: 277.23

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet50pts-config-gpu-30-05-20241326395265SE +/- 1.60, N = 958.77MIN: 44.97 / MAX: 337.56

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: alexnetpts-config-gpu-30-05-202448121620SE +/- 1.37, N = 917.89MIN: 13.81 / MAX: 182.2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet18pts-config-gpu-30-05-2024714212835SE +/- 1.18, N = 928.99MIN: 19.8 / MAX: 221.98

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vgg16pts-config-gpu-30-05-2024306090120150SE +/- 5.02, N = 9124.62MIN: 66.23 / MAX: 682.25

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: googlenetpts-config-gpu-30-05-2024918273645SE +/- 1.64, N = 938.14MIN: 27.74 / MAX: 523.7

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: blazefacepts-config-gpu-30-05-20243691215SE +/- 0.98, N = 98.97MIN: 4.17 / MAX: 172.12

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: efficientnet-b0pts-config-gpu-30-05-2024612182430SE +/- 2.28, N = 923.16MIN: 12.29 / MAX: 221.56

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mnasnetpts-config-gpu-30-05-202448121620SE +/- 1.11, N = 915.40MIN: 8.91 / MAX: 466.02

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: shufflenet-v2pts-config-gpu-30-05-2024510152025SE +/- 1.17, N = 921.59MIN: 12.52 / MAX: 248.51

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3pts-config-gpu-30-05-2024510152025SE +/- 1.67, N = 918.30MIN: 9.64 / MAX: 63.36

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2pts-config-gpu-30-05-2024510152025SE +/- 3.03, N = 918.97MIN: 10.12 / MAX: 542.78

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mobilenetpts-config-gpu-30-05-2024918273645SE +/- 1.15, N = 939.73MIN: 29.4 / MAX: 277.23

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: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory

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

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory

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

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory

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

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory

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

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory

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

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory

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

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: /cuda-build/run-gromacs: line 3: /cuda-build/bin/gmx: 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.

Test: OpenCL BLAS

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: viennacl: line 2: ./ViennaCL-1.7.1/build/examples/benchmarks/dense_blas-bench-opencl: No such file or directory

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-Npts-config-gpu-30-05-2024306090120150SE +/- 6.04, N = 15157.2

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dDOTpts-config-gpu-30-05-2024140280420560700SE +/- 19.94, N = 15627

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dAXPYpts-config-gpu-30-05-20242004006008001000SE +/- 42.05, N = 15948

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dCOPYpts-config-gpu-30-05-2024160320480640800SE +/- 36.07, N = 15742

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sAXPYpts-config-gpu-30-05-2024160320480640800SE +/- 25.06, N = 15736

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sCOPYpts-config-gpu-30-05-2024100200300400500SE +/- 17.64, N = 15470

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

pts-config-gpu-30-05-2024: The test run did not produce a result. E: arrayfire: line 3: ./cg_opencl: No such file or directory

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.

Scene: Rainbow Colors and Prism - Acceleration: GPU

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: ./LuxCore-sdk/bin/luxcoreconsole: /lib64/libc.so.6: version `GLIBC_2.18' not found (required by /LuxCore-sdk/lib/libluxcore.so)

Scene: LuxCore Benchmark - Acceleration: GPU

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: ./LuxCore-sdk/bin/luxcoreconsole: /lib64/libc.so.6: version `GLIBC_2.18' not found (required by /LuxCore-sdk/lib/libluxcore.so)

Scene: Orange Juice - Acceleration: GPU

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: ./LuxCore-sdk/bin/luxcoreconsole: /lib64/libc.so.6: version `GLIBC_2.18' not found (required by /LuxCore-sdk/lib/libluxcore.so)

Scene: Danish Mood - Acceleration: GPU

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: ./LuxCore-sdk/bin/luxcoreconsole: /lib64/libc.so.6: version `GLIBC_2.18' not found (required by /LuxCore-sdk/lib/libluxcore.so)

Scene: DLSC - Acceleration: GPU

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: ./LuxCore-sdk/bin/luxcoreconsole: /lib64/libc.so.6: version `GLIBC_2.18' not found (required by /LuxCore-sdk/lib/libluxcore.so)

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

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: lczero: line 4: ./lc0: No such file or directory

FAHBench

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

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status.

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.

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: redshift: line 3: /usr/redshift/bin/redshiftBenchmark: No such file or directory

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: Texture Read Bandwidth

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: Bus Speed Readback

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: Bus Speed Download

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: Max SP Flops

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: GEMM SGEMM_N

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: Reduction

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: MD5 Hash

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: FFT SP

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: Triad

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: S3D

pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Mixbench

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

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Single Precisionpts-config-gpu-30-05-20243K6K9K12K15KSE +/- 290.53, N = 1215201.951. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Double Precisionpts-config-gpu-30-05-20242K4K6K8K10KSE +/- 160.94, N = 157814.501. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Half Precisionpts-config-gpu-30-05-202410K20K30K40K50KSE +/- 727.84, N = 1544809.081. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: OpenCL - Benchmark: Single Precisionpts-config-gpu-30-05-20243K6K9K12K15KSE +/- 262.04, N = 1515389.521. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

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: MD5pts-config-gpu-30-05-202440000M80000M120000M160000M200000MSE +/- 26429817415.14, N = 16170625637500

GPU-run-30-05-2024

Processor: 2 x AMD EPYC 7452 32-Core @ 2.35GHz (64 Cores), Motherboard: Supermicro AS-2124GQ-NART H12DSG-Q-CPU6 v1.01 (1.0a BIOS), Chipset: AMD Starship/Matisse, Memory: 16 x 32 GB DDR4-3200MT/s Samsung M393A4K40DB3-CWE, Disk: 252GB, Graphics: NVIDIA A100-SXM4-40GB, Network: 2 x Intel 10-Gigabit X540-AT2

OS: CentOS Linux 7, Kernel: 5.4.265-1.el7.elrepo.x86_64 (x86_64), Display Server: X Server, Display Driver: NVIDIA, Vulkan: 1.3.260, Compiler: GCC 4.8.5 20150623 + CUDA 12.3, File-System: tmpfs, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --build=x86_64-redhat-linux --disable-libgcj --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,objc,obj-c++,java,fortran,ada,go,lto --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=x86-64 --with-linker-hash-style=gnu --with-tune=generic
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x830107a
Graphics Notes: BAR1 / Visible vRAM Size: 65536 MiB - vBIOS Version: 92.00.19.00.13
Python Notes: Python 2.7.5 + Python 3.6.8
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Vulnerable + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 30 May 2024 15:53 by user .

pts-config-gpu-30-05-2024

Processor: 2 x AMD EPYC 7452 32-Core @ 2.35GHz (64 Cores), Motherboard: Supermicro AS-2124GQ-NART H12DSG-Q-CPU6 v1.01 (1.0a BIOS), Chipset: AMD Starship/Matisse, Memory: 16 x 32 GB DDR4-3200MT/s Samsung M393A4K40DB3-CWE, Disk: 252GB, Graphics: NVIDIA A100-SXM4-40GB, Network: 2 x Intel 10-Gigabit X540-AT2

OS: CentOS Linux 7, Kernel: 5.4.265-1.el7.elrepo.x86_64 (x86_64), Display Server: X Server, Display Driver: NVIDIA, Vulkan: 1.3.260, Compiler: GCC 8.3.0 + CUDA 12.3, File-System: tmpfs, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: always
Environment Notes: EXTRA_NVCCFLAGS=-cudart=shared
Compiler Notes: --disable-multilib --enable-languages=c,c++
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x830107a
Graphics Notes: BAR1 / Visible vRAM Size: 65536 MiB - vBIOS Version: 92.00.19.00.13
Python Notes: Python 2.7.5 + Python 3.9.7
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Vulnerable + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 30 May 2024 17:42 by user .