docker testing on Ubuntu 20.04.6 LTS via the Phoronix Test Suite.
Processor: Intel Core i7-12700H @ 4.60GHz (14 Cores / 20 Threads), Motherboard: NB02 PHxARX1_PHxAQF1 (N.1.04A03 BIOS), Memory: 64GB, Disk: 2000GB Samsung SSD 980 PRO 2TB, Graphics: llvmpipe, Audio: Realtek ALC256, Monitor: U28E590
OS: Ubuntu 20.04.6 LTS, Kernel: 6.5.0-15-generic (x86_64), Desktop: MATE, Display Server: X Server 1.21.1.7, Display Driver: NVIDIA, OpenGL: 4.5 Mesa 21.2.6 (LLVM 12.0.0 256 bits), Vulkan: 1.2.182, Compiler: GCC 9.4.0 + CUDA 12.0, File-System: ext4, Screen Resolution: 3840x2160, System Layer: docker
Kernel Notes: Transparent Huge Pages: madvise
Environment Notes: NVM_CD_FLAGS=-q
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-9-9QDOt0/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 Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x430
Vbios Version Notes: 94.07.52.00.8e
Python Notes: Python 3.8.10
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: Not affected + spec_rstack_overflow: Not affected + 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 RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
Processor: Intel Core i7-12700H @ 4.60GHz (14 Cores / 20 Threads), Motherboard: NB02 PHxARX1_PHxAQF1 (N.1.04A03 BIOS), Memory: 64GB, Disk: 2000GB Samsung SSD 980 PRO 2TB, Graphics: NVIDIA GeForce RTX 3050 Ti Laptop GPU 4GB, Audio: Realtek ALC256, Monitor: U28E590
OS: Ubuntu 20.04.6 LTS, Kernel: 6.5.0-15-generic (x86_64), Desktop: MATE, Display Server: X Server 1.21.1.7, Display Driver: NVIDIA, Vulkan: 1.2.182, Compiler: GCC 9.4.0 + CUDA 12.0, File-System: ext4, Screen Resolution: 3840x2160, System Layer: docker
Kernel Notes: Transparent Huge Pages: madvise
Environment Notes: NVM_CD_FLAGS=-q
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-9-9QDOt0/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 Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x430
Graphics Notes: BAR1 / Visible vRAM Size: 4096 MiB - vBIOS Version: 94.07.52.00.8e
Python Notes: Python 3.8.10
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: Not affected + spec_rstack_overflow: Not affected + 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 RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
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.
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
NVIDIA GeForce RTX 3050 Ti Laptop GPU: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL
NVIDIA GeForce RTX 3050 Ti Laptop GPU: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL
NVIDIA GeForce RTX 3050 Ti Laptop GPU: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL
NVIDIA GeForce RTX 3050 Ti Laptop GPU: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL
NVIDIA GeForce RTX 3050 Ti Laptop GPU: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
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
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./lczero: line 4: ./lc0: No such file or directory
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 3050 Ti Laptop GPU: 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
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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
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
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./shoc: 3: ./bin/shocdriver: not found
Target: OpenCL - Benchmark: Triad
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./shoc: 3: ./bin/shocdriver: not found
Target: OpenCL - Benchmark: FFT SP
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./shoc: 3: ./bin/shocdriver: not found
Target: OpenCL - Benchmark: MD5 Hash
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./shoc: 3: ./bin/shocdriver: not found
Target: OpenCL - Benchmark: Reduction
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./shoc: 3: ./bin/shocdriver: not found
Target: OpenCL - Benchmark: GEMM SGEMM_N
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./shoc: 3: ./bin/shocdriver: not found
Target: OpenCL - Benchmark: Max SP Flops
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./shoc: 3: ./bin/shocdriver: not found
Target: OpenCL - Benchmark: Bus Speed Download
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./shoc: 3: ./bin/shocdriver: not found
Target: OpenCL - Benchmark: Bus Speed Readback
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./shoc: 3: ./bin/shocdriver: not found
Target: OpenCL - Benchmark: Texture Read Bandwidth
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./shoc: 3: ./bin/shocdriver: not found
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.
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
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./OCL_particlefilter_double: /lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.34' not found (required by /.singularity.d/libs/libOpenCL.so.1)
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
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./arrayfire: 3: ./cg_opencl: not found
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: BMW27 - Compute: NVIDIA OptiX
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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.
Blend File: Classroom - Compute: NVIDIA OptiX
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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.
Blend File: Fishy Cat - Compute: NVIDIA OptiX
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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.
Blend File: Barbershop - Compute: NVIDIA OptiX
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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.
Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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.
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.
This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.
Acceleration: OpenCL GPU - Scene: Bedroom
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./indigo_benchmark: /lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.34' not found (required by /.singularity.d/libs/libGLX.so.0)
Acceleration: OpenCL GPU - Scene: Supercar
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./indigo_benchmark: /lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.34' not found (required by /.singularity.d/libs/libGLX.so.0)
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.
FAHBench is a Folding@Home benchmark on the GPU. Learn more via the OpenBenchmarking.org test page.
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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.
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.
A benchmark suite for GPUs on mixed operational intensity kernels. Learn more via the OpenBenchmarking.org test page.
Backend: OpenCL - Benchmark: Integer
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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-ocl-ro: /lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.34' not found (required by /.singularity.d/libs/libOpenCL.so.1)
Backend: OpenCL - Benchmark: Double Precision
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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-ocl-ro: /lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.34' not found (required by /.singularity.d/libs/libOpenCL.so.1)
Backend: OpenCL - Benchmark: Single Precision
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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-ocl-ro: /lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.34' not found (required by /.singularity.d/libs/libOpenCL.so.1)
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.
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.
Total Score
NVIDIA GeForce RTX 3050 Ti Laptop GPU: The test run did not produce a result. E: ./octane: /lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.34' not found (required by /.singularity.d/libs/libGLX.so.0)
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 3050 Ti Laptop GPU: 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
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
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./blackScholesAnalyticEngine.exe: /lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.34' not found (required by /.singularity.d/libs/libOpenCL.so.1)
A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.
Benchmark: Copy
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./cl-mem: /lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.34' not found (required by /.singularity.d/libs/libOpenCL.so.1)
Benchmark: Read
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./cl-mem: /lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.34' not found (required by /.singularity.d/libs/libOpenCL.so.1)
Benchmark: Write
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./cl-mem: /lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.34' not found (required by /.singularity.d/libs/libOpenCL.so.1)
Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.
OpenCL Test: Integer Compute INT
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./clpeak: 3: ./clpeak: not found
OpenCL Test: Single-Precision Float
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./clpeak: 3: ./clpeak: not found
OpenCL Test: Double-Precision Double
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./clpeak: 3: ./clpeak: not found
OpenCL Test: Global Memory Bandwidth
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./clpeak: 3: ./clpeak: not found
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
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./mandelGPU: /lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.34' not found (required by /.singularity.d/libs/libGLX.so.0)
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
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./ViennaCL-1.7.1/build/examples/benchmarks/dense_blas-bench-opencl: /lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.34' not found (required by /.singularity.d/libs/libOpenCL.so.1)
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.
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./libplacebo: 3: ./src/bench: not found
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.
Test: FFT + iFFT R2C / C2R
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./vkfft: 3: ./Vulkan_FFT: not found
Test: FFT + iFFT C2C 1D batched in half precision
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./vkfft: 3: ./Vulkan_FFT: not found
Test: FFT + iFFT C2C Bluestein in single precision
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./vkfft: 3: ./Vulkan_FFT: not found
Test: FFT + iFFT C2C 1D batched in double precision
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./vkfft: 3: ./Vulkan_FFT: not found
Test: FFT + iFFT C2C 1D batched in single precision
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./vkfft: 3: ./Vulkan_FFT: not found
Test: FFT + iFFT C2C multidimensional in single precision
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./vkfft: 3: ./Vulkan_FFT: not found
Test: FFT + iFFT C2C Bluestein benchmark in double precision
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./vkfft: 3: ./Vulkan_FFT: not found
Test: FFT + iFFT C2C 1D batched in single precision, no reshuffling
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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: ./vkfft: 3: ./Vulkan_FFT: not found
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.
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
NVIDIA GeForce RTX 3050 Ti Laptop GPU: 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.
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.
Processor: Intel Core i7-12700H @ 4.60GHz (14 Cores / 20 Threads), Motherboard: NB02 PHxARX1_PHxAQF1 (N.1.04A03 BIOS), Memory: 64GB, Disk: 2000GB Samsung SSD 980 PRO 2TB, Graphics: llvmpipe, Audio: Realtek ALC256, Monitor: U28E590
OS: Ubuntu 20.04.6 LTS, Kernel: 6.5.0-15-generic (x86_64), Desktop: MATE, Display Server: X Server 1.21.1.7, Display Driver: NVIDIA, OpenGL: 4.5 Mesa 21.2.6 (LLVM 12.0.0 256 bits), Vulkan: 1.2.182, Compiler: GCC 9.4.0 + CUDA 12.0, File-System: ext4, Screen Resolution: 3840x2160, System Layer: docker
Kernel Notes: Transparent Huge Pages: madvise
Environment Notes: NVM_CD_FLAGS=-q
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-9-9QDOt0/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 Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x430
Vbios Version Notes: 94.07.52.00.8e
Python Notes: Python 3.8.10
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: Not affected + spec_rstack_overflow: Not affected + 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 RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 1 February 2024 10:52 by user melkor.
Processor: Intel Core i7-12700H @ 4.60GHz (14 Cores / 20 Threads), Motherboard: NB02 PHxARX1_PHxAQF1 (N.1.04A03 BIOS), Memory: 64GB, Disk: 2000GB Samsung SSD 980 PRO 2TB, Graphics: NVIDIA GeForce RTX 3050 Ti Laptop GPU 4GB, Audio: Realtek ALC256, Monitor: U28E590
OS: Ubuntu 20.04.6 LTS, Kernel: 6.5.0-15-generic (x86_64), Desktop: MATE, Display Server: X Server 1.21.1.7, Display Driver: NVIDIA, Vulkan: 1.2.182, Compiler: GCC 9.4.0 + CUDA 12.0, File-System: ext4, Screen Resolution: 3840x2160, System Layer: docker
Kernel Notes: Transparent Huge Pages: madvise
Environment Notes: NVM_CD_FLAGS=-q
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-9-9QDOt0/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 Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x430
Graphics Notes: BAR1 / Visible vRAM Size: 4096 MiB - vBIOS Version: 94.07.52.00.8e
Python Notes: Python 3.8.10
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: Not affected + spec_rstack_overflow: Not affected + 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 RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 1 February 2024 11:27 by user melkor.