res.txt

docker testing on Ubuntu 20.04.6 LTS via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2402013-NE-RESTXT64559
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llvmpipe - Intel Core i7-12700H
February 01
 
NVIDIA GeForce RTX 3050 Ti Laptop GPU
February 01
  12 Hours, 36 Minutes
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  6 Hours, 18 Minutes
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llvmpipe - Intel Core i7-12700H

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

NVIDIA GeForce RTX 3050 Ti Laptop GPU

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

res.txtOpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-12700H @ 4.60GHz (14 Cores / 20 Threads)NB02 PHxARX1_PHxAQF1 (N.1.04A03 BIOS)64GB2000GB Samsung SSD 980 PRO 2TBllvmpipeNVIDIA GeForce RTX 3050 Ti Laptop GPU 4GBRealtek ALC256U28E590Ubuntu 20.04.6 LTS6.5.0-15-generic (x86_64)MATEX Server 1.21.1.7NVIDIA4.5 Mesa 21.2.6 (LLVM 12.0.0 256 bits)1.2.182GCC 9.4.0 + CUDA 12.0ext43840x2160dockerProcessorMotherboardMemoryDiskGraphicsAudioMonitorOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionSystem LayerRes.txt BenchmarksSystem Logs- Transparent Huge Pages: madvise- NVM_CD_FLAGS=-q- --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 - Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x430 - llvmpipe - Intel Core i7-12700H: 94.07.52.00.8e- Python 3.8.10- 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 - NVIDIA GeForce RTX 3050 Ti Laptop GPU: BAR1 / Visible vRAM Size: 4096 MiB - vBIOS Version: 94.07.52.00.8e

res.txtrealsr-ncnn: 4x - Yesncnn: Vulkan GPU - FastestDetncnn: Vulkan GPU - vision_transformerncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - yolov4-tinyncnn: 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 - mobilenetrealsr-ncnn: 4x - Noluxcorerender: Danish Mood - GPUbetsy: ETC1 - Highestbetsy: ETC2 RGB - Highestvkpeak: int16-vec4vkpeak: int16-scalarvkpeak: int32-vec4vkpeak: int32-scalarvkpeak: fp16-vec4vkpeak: fp16-scalarvkpeak: fp32-vec4vkpeak: fp32-scalarluxcorerender: LuxCore Benchmark - GPUnamd-cuda: ATPase Simulation - 327,506 Atomsluxcorerender: DLSC - GPUluxcorerender: Orange Juice - GPUwaifu2x-ncnn: 2x - 3 - Yesviennacl: CPU BLAS - dGEMM-TTviennacl: CPU BLAS - dGEMM-TNviennacl: CPU BLAS - dGEMM-NTviennacl: CPU BLAS - dGEMM-NNviennacl: CPU BLAS - dGEMV-Tviennacl: CPU BLAS - dGEMV-Nviennacl: CPU BLAS - dDOTviennacl: CPU BLAS - dAXPYviennacl: CPU BLAS - dCOPYviennacl: CPU BLAS - sDOTviennacl: CPU BLAS - sAXPYviennacl: CPU BLAS - sCOPYwaifu2x-ncnn: 2x - 3 - Novkresample: 2x - Singleluxcorerender: Rainbow Colors and Prism - GPUhashcat: SHA-512hashcat: MD5hashcat: SHA1hashcat: TrueCrypt RIPEMD160 + XTShashcat: 7-Zipmixbench: NVIDIA CUDA - Integermixbench: NVIDIA CUDA - Single Precisionmixbench: NVIDIA CUDA - Double Precisionmixbench: NVIDIA CUDA - Half Precisionneatbench: GPUvkfft: FFT + iFFT R2C / C2Rllvmpipe - Intel Core i7-12700HNVIDIA GeForce RTX 3050 Ti Laptop GPU675.8518.89268.2919.7018.4439.8136.4411.1815.0270.6821.352.2313.157.367.026.987.9924.8998.2170.81197.655197.168864.22789.83428.32403.312828.132030.241366.62878.311.350.328413.113.3932.43916.916.616.014.836.132.642.140.632.945.543.938.65.048100.0118.626015666671263100000042146333331544331845003852.668315.17116.518650.273050OpenBenchmarking.org

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: YesNVIDIA GeForce RTX 3050 Ti Laptop GPU150300450600750SE +/- 0.25, N = 3675.85

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: FastestDetNVIDIA GeForce RTX 3050 Ti Laptop GPU246810SE +/- 1.06, N = 108.89MIN: 6.69 / MAX: 1023.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vision_transformerNVIDIA GeForce RTX 3050 Ti Laptop GPU60120180240300SE +/- 6.43, N = 10268.29MIN: 230.75 / MAX: 1627.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: regnety_400mNVIDIA GeForce RTX 3050 Ti Laptop GPU510152025SE +/- 1.50, N = 1019.70MIN: 16.31 / MAX: 520.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: squeezenet_ssdNVIDIA GeForce RTX 3050 Ti Laptop GPU510152025SE +/- 1.02, N = 1018.44MIN: 14.2 / MAX: 594.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: yolov4-tinyNVIDIA GeForce RTX 3050 Ti Laptop GPU918273645SE +/- 1.43, N = 1039.81MIN: 33.93 / MAX: 517.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet50NVIDIA GeForce RTX 3050 Ti Laptop GPU816243240SE +/- 0.96, N = 1036.44MIN: 28.52 / MAX: 1816.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: alexnetNVIDIA GeForce RTX 3050 Ti Laptop GPU3691215SE +/- 0.21, N = 1011.18MIN: 9.87 / MAX: 36.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet18NVIDIA GeForce RTX 3050 Ti Laptop GPU48121620SE +/- 0.21, N = 1015.02MIN: 13.79 / MAX: 29.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vgg16NVIDIA GeForce RTX 3050 Ti Laptop GPU1632486480SE +/- 1.25, N = 1070.68MIN: 59.16 / MAX: 442.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: googlenetNVIDIA GeForce RTX 3050 Ti Laptop GPU510152025SE +/- 0.65, N = 1021.35MIN: 16.37 / MAX: 528.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: blazefaceNVIDIA GeForce RTX 3050 Ti Laptop GPU0.50181.00361.50542.00722.509SE +/- 0.08, N = 102.23MIN: 1.85 / MAX: 7.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: efficientnet-b0NVIDIA GeForce RTX 3050 Ti Laptop GPU3691215SE +/- 0.34, N = 1013.15MIN: 10.56 / MAX: 559.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mnasnetNVIDIA GeForce RTX 3050 Ti Laptop GPU246810SE +/- 0.24, N = 107.36MIN: 6.19 / MAX: 23.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: shufflenet-v2NVIDIA GeForce RTX 3050 Ti Laptop GPU246810SE +/- 0.80, N = 107.02MIN: 5.43 / MAX: 773.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3NVIDIA GeForce RTX 3050 Ti Laptop GPU246810SE +/- 0.29, N = 106.98MIN: 5.59 / MAX: 143.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2NVIDIA GeForce RTX 3050 Ti Laptop GPU246810SE +/- 0.38, N = 107.99MIN: 6.13 / MAX: 394.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mobilenetNVIDIA GeForce RTX 3050 Ti Laptop GPU612182430SE +/- 0.95, N = 1024.89MIN: 21.71 / MAX: 331.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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: NoNVIDIA GeForce RTX 3050 Ti Laptop GPU20406080100SE +/- 2.11, N = 1598.22

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: Danish Mood - Acceleration: GPUNVIDIA GeForce RTX 3050 Ti Laptop GPU0.18230.36460.54690.72920.9115SE +/- 0.02, N = 150.81MIN: 0.14 / MAX: 1.45

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

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.

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: HighestNVIDIA GeForce RTX 3050 Ti Laptop GPU4080120160200SE +/- 0.95, N = 3197.66

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC2 RGB - Quality: HighestNVIDIA GeForce RTX 3050 Ti Laptop GPU4080120160200SE +/- 0.28, N = 3197.17

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.

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int16-vec4NVIDIA GeForce RTX 3050 Ti Laptop GPU2004006008001000SE +/- 1.04, N = 3864.22

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int16-scalarNVIDIA GeForce RTX 3050 Ti Laptop GPU2004006008001000SE +/- 3.86, N = 3789.83

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int32-vec4NVIDIA GeForce RTX 3050 Ti Laptop GPU90180270360450SE +/- 1.43, N = 3428.32

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int32-scalarNVIDIA GeForce RTX 3050 Ti Laptop GPU90180270360450SE +/- 1.25, N = 3403.31

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp16-vec4NVIDIA GeForce RTX 3050 Ti Laptop GPU6001200180024003000SE +/- 9.65, N = 32828.13

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp16-scalarNVIDIA GeForce RTX 3050 Ti Laptop GPU400800120016002000SE +/- 10.30, N = 32030.24

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp32-vec4NVIDIA GeForce RTX 3050 Ti Laptop GPU30060090012001500SE +/- 7.21, N = 31366.62

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp32-scalarNVIDIA GeForce RTX 3050 Ti Laptop GPU2004006008001000SE +/- 5.94, N = 3878.31

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: LuxCore Benchmark - Acceleration: GPUNVIDIA GeForce RTX 3050 Ti Laptop GPU0.30380.60760.91141.21521.519SE +/- 0.02, N = 31.35MIN: 0.2 / MAX: 2.03

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 AtomsNVIDIA GeForce RTX 3050 Ti Laptop GPU0.07390.14780.22170.29560.3695SE +/- 0.00314, N = 30.32841

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: GPUNVIDIA GeForce RTX 3050 Ti Laptop GPU0.69981.39962.09942.79923.499SE +/- 0.03, N = 33.11MIN: 2.66 / MAX: 3.31

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: GPUNVIDIA GeForce RTX 3050 Ti Laptop GPU0.76281.52562.28843.05123.814SE +/- 0.01, N = 33.39MIN: 1.88 / MAX: 3.71

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesNVIDIA GeForce RTX 3050 Ti Laptop GPU816243240SE +/- 0.15, N = 332.44

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-TTNVIDIA GeForce RTX 3050 Ti Laptop GPU48121620SE +/- 0.07, N = 316.91. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TNNVIDIA GeForce RTX 3050 Ti Laptop GPU48121620SE +/- 0.03, N = 316.61. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NTNVIDIA GeForce RTX 3050 Ti Laptop GPU48121620SE +/- 0.15, N = 316.01. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NNNVIDIA GeForce RTX 3050 Ti Laptop GPU48121620SE +/- 0.15, N = 314.81. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-TNVIDIA GeForce RTX 3050 Ti Laptop GPU816243240SE +/- 0.03, N = 336.11. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-NNVIDIA GeForce RTX 3050 Ti Laptop GPU816243240SE +/- 0.42, N = 332.61. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dDOTNVIDIA GeForce RTX 3050 Ti Laptop GPU1020304050SE +/- 0.13, N = 342.11. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dAXPYNVIDIA GeForce RTX 3050 Ti Laptop GPU918273645SE +/- 0.03, N = 340.61. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dCOPYNVIDIA GeForce RTX 3050 Ti Laptop GPU816243240SE +/- 0.03, N = 332.91. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sDOTNVIDIA GeForce RTX 3050 Ti Laptop GPU1020304050SE +/- 0.09, N = 345.51. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sAXPYNVIDIA GeForce RTX 3050 Ti Laptop GPU1020304050SE +/- 0.19, N = 343.91. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sCOPYNVIDIA GeForce RTX 3050 Ti Laptop GPU918273645SE +/- 0.07, N = 338.61. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: NoNVIDIA GeForce RTX 3050 Ti Laptop GPU1.13582.27163.40744.54325.679SE +/- 0.057, N = 155.048

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.

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleNVIDIA GeForce RTX 3050 Ti Laptop GPU20406080100SE +/- 0.00, N = 3100.011. (CXX) g++ options: -O3 -pthread

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: Rainbow Colors and Prism - Acceleration: GPUNVIDIA GeForce RTX 3050 Ti Laptop GPU246810SE +/- 0.01, N = 38.62MIN: 7.86 / MAX: 9.05

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: SHA-512NVIDIA GeForce RTX 3050 Ti Laptop GPU130M260M390M520M650MSE +/- 466666.67, N = 3601566667

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: MD5NVIDIA GeForce RTX 3050 Ti Laptop GPU3000M6000M9000M12000M15000MSE +/- 38314096.62, N = 312631000000

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1NVIDIA GeForce RTX 3050 Ti Laptop GPU900M1800M2700M3600M4500MSE +/- 5139498.46, N = 34214633333

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

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.

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 + XTSNVIDIA GeForce RTX 3050 Ti Laptop GPU30K60K90K120K150KSE +/- 260.34, N = 3154433

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-ZipNVIDIA GeForce RTX 3050 Ti Laptop GPU40K80K120K160K200KSE +/- 208.17, N = 3184500

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: 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.

Mixbench

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

OpenBenchmarking.orgGIOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: IntegerNVIDIA GeForce RTX 3050 Ti Laptop GPU8001600240032004000SE +/- 0.25, N = 33852.661. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

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: 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: 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.

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 PrecisionNVIDIA GeForce RTX 3050 Ti Laptop GPU2K4K6K8K10KSE +/- 2.87, N = 38315.171. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Double PrecisionNVIDIA GeForce RTX 3050 Ti Laptop GPU306090120150SE +/- 0.08, N = 3116.511. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

OpenBenchmarking.orgGFLOPS, More Is BetterMixbench 2020-06-23Backend: NVIDIA CUDA - Benchmark: Half PrecisionNVIDIA GeForce RTX 3050 Ti Laptop GPU2K4K6K8K10KSE +/- 5.11, N = 38650.271. (CXX) g++ options: -lm -lstdc++ -lOpenCL -lrt -O2

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: GPUNVIDIA GeForce RTX 3050 Ti Laptop GPU70014002100280035003050

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

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.

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: 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: 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.

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: 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: 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.

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

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)

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

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)

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

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)

IndigoBench

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

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)

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)

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

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

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

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

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

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

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.

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)

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: 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

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

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: 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: 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: 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: 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

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

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)

clpeak

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

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

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: 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

FAHBench

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.

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 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

cl-mem

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

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)

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: 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)

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.

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

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

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: 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: 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: 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: 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: 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: 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: 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

Mixbench

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

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)

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: 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)

VkFFT

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

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 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 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 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 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 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 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

llvmpipe - Intel Core i7-12700H

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.

NVIDIA GeForce RTX 3050 Ti Laptop GPU

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.