phoronix_test_gpu.txt
Docker testing on Ubuntu 20.04.3 LTS via the Phoronix Test Suite.
NVIDIA GeForce RTX 3090
Processor: Intel Core i9-10900X @ 4.50GHz (10 Cores / 20 Threads), Motherboard: ASUS PRIME X299-A II (0702 BIOS), Memory: 64GB, Disk: 1000GB Western Digital WDS100T2B0B + 4001GB Western Digital WD4003FFBX-6, Graphics: NVIDIA GeForce RTX 3090 24GB, Audio: Realtek ALC1220
OS: Ubuntu 20.04.3 LTS, Kernel: 5.11.0-27-generic (x86_64), Display Driver: NVIDIA, Compiler: GCC 9.3.0, File-System: overlayfs, Screen Resolution: 1920x1080, System Layer: Docker
Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,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-HskZEa/gcc-9-9.3.0/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 Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x5003102
Graphics Notes: BAR1 / Visible vRAM Size: 256 MiB
Python Notes: Python 3.8.10
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + 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 + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled
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.
Benchmark: MD5
NVIDIA GeForce RTX 3090: 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.
Benchmark: SHA1
NVIDIA GeForce RTX 3090: 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.
Benchmark: 7-Zip
NVIDIA GeForce RTX 3090: 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.
Benchmark: SHA-512
NVIDIA GeForce RTX 3090: 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.
Benchmark: TrueCrypt RIPEMD160 + XTS
NVIDIA GeForce RTX 3090: 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.
Mixbench
A benchmark suite for GPUs on mixed operational intensity kernels. Learn more via the OpenBenchmarking.org test page.
Backend: NVIDIA CUDA - Benchmark: Integer
NVIDIA GeForce RTX 3090: 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: ./mixbench: 3: ./mixbench-cuda-ro: not found
Backend: NVIDIA CUDA - Benchmark: Half Precision
NVIDIA GeForce RTX 3090: 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: ./mixbench: 3: ./mixbench-cuda-ro: not found
Backend: NVIDIA CUDA - Benchmark: Double Precision
NVIDIA GeForce RTX 3090: 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: ./mixbench: 3: ./mixbench-cuda-ro: not found
Backend: NVIDIA CUDA - Benchmark: Single Precision
NVIDIA GeForce RTX 3090: 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: ./mixbench: 3: ./mixbench-cuda-ro: not found
cl-mem
A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.
Benchmark: Copy
NVIDIA GeForce RTX 3090: 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.
Benchmark: Read
NVIDIA GeForce RTX 3090: 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.
Benchmark: Write
NVIDIA GeForce RTX 3090: 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.
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.
NVIDIA GeForce RTX 3090: 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
FAHBench
FAHBench is a Folding@Home benchmark on the GPU. Learn more via the OpenBenchmarking.org test page.
NVIDIA GeForce RTX 3090: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
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: DLSC - Acceleration: GPU
NVIDIA GeForce RTX 3090: 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: No hardware device selected or available
Scene: Danish Mood - Acceleration: GPU
NVIDIA GeForce RTX 3090: 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: No hardware device selected or available
Scene: Orange Juice - Acceleration: GPU
NVIDIA GeForce RTX 3090: 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: No hardware device selected or available
Scene: LuxCore Benchmark - Acceleration: GPU
NVIDIA GeForce RTX 3090: 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: No hardware device selected or available
Scene: Rainbow Colors and Prism - Acceleration: GPU
NVIDIA GeForce RTX 3090: 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: No hardware device selected or available
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.
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
NVIDIA GeForce RTX 3090: 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: ./gromacs: 5: /cuda-build/run-gromacs: not found
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
NVIDIA GeForce RTX 3090: 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: @ 0x7f390141b6ef google::LogMessageFatal::~LogMessageFatal()
Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200
NVIDIA GeForce RTX 3090: 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: @ 0x7fcbed7556ef google::LogMessageFatal::~LogMessageFatal()
Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000
NVIDIA GeForce RTX 3090: 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: @ 0x7f3aa9c6e6ef google::LogMessageFatal::~LogMessageFatal()
Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100
NVIDIA GeForce RTX 3090: 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: @ 0x7f91d761b6ef google::LogMessageFatal::~LogMessageFatal()
Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200
NVIDIA GeForce RTX 3090: 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: @ 0x7f222dfaa6ef google::LogMessageFatal::~LogMessageFatal()
Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000
NVIDIA GeForce RTX 3090: 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: @ 0x7f3cc047a6ef google::LogMessageFatal::~LogMessageFatal()
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.
Blender
Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported. Learn more via the OpenBenchmarking.org test page.
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.
NVIDIA GeForce RTX 3090
Processor: Intel Core i9-10900X @ 4.50GHz (10 Cores / 20 Threads), Motherboard: ASUS PRIME X299-A II (0702 BIOS), Memory: 64GB, Disk: 1000GB Western Digital WDS100T2B0B + 4001GB Western Digital WD4003FFBX-6, Graphics: NVIDIA GeForce RTX 3090 24GB, Audio: Realtek ALC1220
OS: Ubuntu 20.04.3 LTS, Kernel: 5.11.0-27-generic (x86_64), Display Driver: NVIDIA, Compiler: GCC 9.3.0, File-System: overlayfs, Screen Resolution: 1920x1080, System Layer: Docker
Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,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-HskZEa/gcc-9-9.3.0/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 Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x5003102
Graphics Notes: BAR1 / Visible vRAM Size: 256 MiB
Python Notes: Python 3.8.10
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + 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 + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled
Testing initiated at 13 February 2022 09:19 by user root.