Veterini

AMD Ryzen 7 3700X 8-Core testing with a ASUS PRIME X370-PRO (5220 BIOS) and NVIDIA GeForce RTX 3060 Ti 8GB on Arch rolling via the Phoronix Test Suite.

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  Test
  Duration
Ryzen 3700X RTX 3060 ti FE
December 05 2020
  3 Hours, 42 Minutes
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Ryzen 3700X RTX 3060 ti FE

Processor: AMD Ryzen 7 3700X 8-Core @ 3.60GHz (8 Cores / 16 Threads), Motherboard: ASUS PRIME X370-PRO (5220 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: Samsung SSD 960 EVO 500GB + 240GB CT240BX200SSD1 + 500GB CT500MX500SSD1, Graphics: NVIDIA GeForce RTX 3060 Ti 8GB (375/405MHz), Audio: NVIDIA Device 228b, Monitor: LG HDR WQHD, Network: Mellanox MT26448 + Intel I211

OS: Arch rolling, Kernel: 5.9.11-arch2-1 (x86_64), Display Server: X Server 1.20.10, Display Driver: NVIDIA 455.45.01, OpenGL: 4.6.0, Compiler: GCC 10.2.0 + Clang 11.0.0Target: + CUDA 11.1, File-System: ext4, Screen Resolution: 3440x1440

Kernel Notes: zfs.zfs_arc_max=536870912
Environment Notes: WINEDEBUG=-all
Processor Notes: Scaling Governor: acpi-cpufreq schedutil - CPU Microcode: 0x8701013
OpenCL Notes: GPU Compute Cores: 4864
Python Notes: Python 3.9.0
Security Notes: itlb_multihit: Not affected + 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 Full AMD retpoline IBPB: conditional STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

VeteriniOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 7 3700X 8-Core @ 3.60GHz (8 Cores / 16 Threads)ASUS PRIME X370-PRO (5220 BIOS)AMD Starship/Matisse32GBSamsung SSD 960 EVO 500GB + 240GB CT240BX200SSD1 + 500GB CT500MX500SSD1NVIDIA GeForce RTX 3060 Ti 8GB (375/405MHz)NVIDIA Device 228bLG HDR WQHDMellanox MT26448 + Intel I211Arch rolling5.9.11-arch2-1 (x86_64)X Server 1.20.10NVIDIA 455.45.014.6.0GCC 10.2.0 + Clang 11.0.0Targetext43440x1440ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionVeterini BenchmarksSystem Logs- zfs.zfs_arc_max=536870912- WINEDEBUG=-all- Scaling Governor: acpi-cpufreq schedutil - CPU Microcode: 0x8701013- GPU Compute Cores: 4864- Python 3.9.0- itlb_multihit: Not affected + 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 Full AMD retpoline IBPB: conditional STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Veterinirealsr-ncnn: 4x - Norealsr-ncnn: 4x - Yeswaifu2x-ncnn: 2x - 3 - Yesvkfft: hashcat: MD5hashcat: SHA1hashcat: 7-Ziphashcat: SHA-512hashcat: TrueCrypt RIPEMD160 + XTSfinancebench: Black-Scholes OpenCLgromacs-gpu: Water Benchmarkviennacl: OpenCL LU Factorizationcl-mem: Copycl-mem: Readcl-mem: Writenamd-cuda: ATPase Simulation - 327,506 Atomsoctanebench: Total Scoreluxcorerender-cl: DLSCluxcorerender-cl: Foodluxcorerender-cl: LuxCore Benchmarkluxcorerender-cl: Rainbow Colors and Prismfahbench: lczero: OpenCLrodinia: OpenCL Particle Filterarrayfire: Conjugate Gradient OpenCLncnn: Vulkan GPU - squeezenetncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinyblender: BMW27 - CUDAblender: Classroom - CUDAblender: Fishy Cat - CUDAblender: Barbershop - CUDAblender: BMW27 - NVIDIA OptiXblender: Classroom - NVIDIA OptiXblender: Fishy Cat - NVIDIA OptiXblender: Barbershop - NVIDIA OptiXblender: Pabellon Barcelona - CUDAblender: Pabellon Barcelona - NVIDIA OptiXmandelgpu: GPUclpeak: Integer Compute INTclpeak: Single-Precision Floatclpeak: Double-Precision Doubleclpeak: Global Memory BandwidthRyzen 3700X RTX 3060 ti FE9.22953.2444.45831777321642666671077176666757180015435666674233338.3816.52768.9728293.3393.1387.20.17677380.3149077.042.715.7316.53227.2348176087.1262.0943.934.571.581.811.381.662.830.623.715.681.451.633.527.5544.5893.9769.76395.1322.3857.9438.37594.69257.3087.403610616.18406.2216092.15299.73390.13OpenBenchmarking.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: NoRyzen 3700X RTX 3060 ti FE3691215SE +/- 0.061, N = 39.229

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesRyzen 3700X RTX 3060 ti FE1224364860SE +/- 0.10, N = 353.24

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: YesRyzen 3700X RTX 3060 ti FE1.00312.00623.00934.01245.0155SE +/- 0.023, N = 34.458

VkFFT

VkFFT is a Fast Fourier Transform (FFT) Library that is GPU accelerated by means of the Vulkan API. The VkFFT benchmark runs FFT performance differences of many different sizes before returning an overall benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-29Ryzen 3700X RTX 3060 ti FE7K14K21K28K35KSE +/- 35.64, N = 331777

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 6.1.1Benchmark: MD5Ryzen 3700X RTX 3060 ti FE7000M14000M21000M28000M35000MSE +/- 17241648.54, N = 332164266667

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: SHA1Ryzen 3700X RTX 3060 ti FE2000M4000M6000M8000M10000MSE +/- 3645240.43, N = 310771766667

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: 7-ZipRyzen 3700X RTX 3060 ti FE120K240K360K480K600KSE +/- 400.00, N = 3571800

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: SHA-512Ryzen 3700X RTX 3060 ti FE300M600M900M1200M1500MSE +/- 841295.30, N = 31543566667

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.1.1Benchmark: TrueCrypt RIPEMD160 + XTSRyzen 3700X RTX 3060 ti FE90K180K270K360K450KSE +/- 392.99, N = 3423333

FinanceBench

FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-06-06Benchmark: Black-Scholes OpenCLRyzen 3700X RTX 3060 ti FE246810SE +/- 0.013, N = 38.3811. (CXX) g++ options: -O3 -lOpenCL

GROMACS

The CUDA version of the Gromacs molecular dynamics package. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkRyzen 3700X RTX 3060 ti FE246810SE +/- 0.008, N = 36.5271. (CXX) g++ options: -O3 -ldl -lrt -lm -lpthread

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile uses ViennaCL OpenCL support and runs the included computational benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterViennaCL 1.4.2OpenCL LU FactorizationRyzen 3700X RTX 3060 ti FE1530456075SE +/- 0.18, N = 368.971. (CXX) g++ options: -rdynamic -lOpenCL

cl-mem

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

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyRyzen 3700X RTX 3060 ti FE60120180240300SE +/- 0.09, N = 3293.31. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadRyzen 3700X RTX 3060 ti FE90180270360450SE +/- 0.23, N = 3393.11. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteRyzen 3700X RTX 3060 ti FE80160240320400SE +/- 0.06, N = 3387.21. (CC) gcc options: -O2 -flto -lOpenCL

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 AtomsRyzen 3700X RTX 3060 ti FE0.03980.07960.11940.15920.199SE +/- 0.00049, N = 30.17677

OctaneBench

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

OpenBenchmarking.orgScore, More Is BetterOctaneBench 2020.1Total ScoreRyzen 3700X RTX 3060 ti FE80160240320400380.31

LuxCoreRender OpenCL

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on OpenCL accelerators/GPUs. The alternative luxcorerender test profile is for CPU execution due to a difference in tests, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: DLSCRyzen 3700X RTX 3060 ti FE246810SE +/- 0.16, N = 127.04MIN: 1.68 / MAX: 7.43

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: FoodRyzen 3700X RTX 3060 ti FE0.60981.21961.82942.43923.049SE +/- 0.08, N = 122.71MIN: 0.13 / MAX: 3.5

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: LuxCore BenchmarkRyzen 3700X RTX 3060 ti FE1.28932.57863.86795.15726.4465SE +/- 0.12, N = 125.73MIN: 0.21 / MAX: 6.7

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender OpenCL 2.3Scene: Rainbow Colors and PrismRyzen 3700X RTX 3060 ti FE48121620SE +/- 0.69, N = 1216.53MIN: 5.64 / MAX: 18.15

FAHBench

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

OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2Ryzen 3700X RTX 3060 ti FE50100150200250SE +/- 0.03, N = 3227.23

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.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: OpenCLRyzen 3700X RTX 3060 ti FE4K8K12K16K20KSE +/- 104.44, N = 3176081. (CXX) g++ options: -flto -pthread

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle FilterRyzen 3700X RTX 3060 ti FE246810SE +/- 0.081, N = 37.1261. (CXX) g++ options: -O2 -lOpenCL

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.

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient OpenCLRyzen 3700X RTX 3060 ti FE0.47120.94241.41361.88482.356SE +/- 0.002, N = 32.0941. (CXX) g++ options: -rdynamic

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 20200916Target: Vulkan GPU - Model: squeezenetRyzen 3700X RTX 3060 ti FE0.88431.76862.65293.53724.4215SE +/- 0.02, N = 33.93MIN: 3.77 / MAX: 4.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetRyzen 3700X RTX 3060 ti FE1.02832.05663.08494.11325.1415SE +/- 0.04, N = 34.57MIN: 4.46 / MAX: 21.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Ryzen 3700X RTX 3060 ti FE0.35550.7111.06651.4221.7775SE +/- 0.00, N = 31.58MIN: 1.56 / MAX: 1.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Ryzen 3700X RTX 3060 ti FE0.40730.81461.22191.62922.0365SE +/- 0.01, N = 31.81MIN: 1.8 / MAX: 2.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Ryzen 3700X RTX 3060 ti FE0.31050.6210.93151.2421.5525SE +/- 0.00, N = 31.38MIN: 1.36 / MAX: 1.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetRyzen 3700X RTX 3060 ti FE0.37350.7471.12051.4941.8675SE +/- 0.00, N = 31.66MIN: 1.65 / MAX: 1.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Ryzen 3700X RTX 3060 ti FE0.63681.27361.91042.54723.184SE +/- 0.00, N = 32.83MIN: 2.81 / MAX: 3.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceRyzen 3700X RTX 3060 ti FE0.13950.2790.41850.5580.6975SE +/- 0.00, N = 30.62MAX: 0.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetRyzen 3700X RTX 3060 ti FE0.83481.66962.50443.33924.174SE +/- 0.18, N = 33.71MIN: 3.49 / MAX: 18.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Ryzen 3700X RTX 3060 ti FE1.2782.5563.8345.1126.39SE +/- 0.03, N = 35.68MIN: 5.55 / MAX: 18.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Ryzen 3700X RTX 3060 ti FE0.32630.65260.97891.30521.6315SE +/- 0.02, N = 31.45MIN: 1.42 / MAX: 11.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetRyzen 3700X RTX 3060 ti FE0.36680.73361.10041.46721.834SE +/- 0.00, N = 31.63MIN: 1.61 / MAX: 1.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Ryzen 3700X RTX 3060 ti FE0.7921.5842.3763.1683.96SE +/- 0.00, N = 33.52MIN: 3.51 / MAX: 3.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyRyzen 3700X RTX 3060 ti FE246810SE +/- 0.07, N = 37.55MIN: 7.35 / MAX: 14.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CUDARyzen 3700X RTX 3060 ti FE1020304050SE +/- 6.65, N = 1544.58

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CUDARyzen 3700X RTX 3060 ti FE20406080100SE +/- 0.03, N = 393.97

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CUDARyzen 3700X RTX 3060 ti FE1632486480SE +/- 0.03, N = 369.76

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CUDARyzen 3700X RTX 3060 ti FE90180270360450SE +/- 0.26, N = 3395.13

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: NVIDIA OptiXRyzen 3700X RTX 3060 ti FE510152025SE +/- 3.90, N = 1522.38

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: NVIDIA OptiXRyzen 3700X RTX 3060 ti FE1326395265SE +/- 0.03, N = 357.94

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: NVIDIA OptiXRyzen 3700X RTX 3060 ti FE918273645SE +/- 0.00, N = 338.37

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: NVIDIA OptiXRyzen 3700X RTX 3060 ti FE130260390520650SE +/- 0.46, N = 3594.69

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CUDARyzen 3700X RTX 3060 ti FE60120180240300SE +/- 0.04, N = 3257.30

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXRyzen 3700X RTX 3060 ti FE20406080100SE +/- 0.02, N = 387.40

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.

OpenBenchmarking.orgSamples/sec, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPURyzen 3700X RTX 3060 ti FE800K1600K2400K3200K4000KSE +/- 34.21, N = 33610616.11. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

clpeak

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

OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTRyzen 3700X RTX 3060 ti FE2K4K6K8K10KSE +/- 97.29, N = 38406.221. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatRyzen 3700X RTX 3060 ti FE3K6K9K12K15KSE +/- 79.06, N = 316092.151. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleRyzen 3700X RTX 3060 ti FE70140210280350SE +/- 0.77, N = 3299.731. (CXX) g++ options: -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthRyzen 3700X RTX 3060 ti FE80160240320400SE +/- 0.09, N = 3390.131. (CXX) g++ options: -O3 -rdynamic -lOpenCL

Ryzen 3700X RTX 3060 ti FE

Processor: AMD Ryzen 7 3700X 8-Core @ 3.60GHz (8 Cores / 16 Threads), Motherboard: ASUS PRIME X370-PRO (5220 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: Samsung SSD 960 EVO 500GB + 240GB CT240BX200SSD1 + 500GB CT500MX500SSD1, Graphics: NVIDIA GeForce RTX 3060 Ti 8GB (375/405MHz), Audio: NVIDIA Device 228b, Monitor: LG HDR WQHD, Network: Mellanox MT26448 + Intel I211

OS: Arch rolling, Kernel: 5.9.11-arch2-1 (x86_64), Display Server: X Server 1.20.10, Display Driver: NVIDIA 455.45.01, OpenGL: 4.6.0, Compiler: GCC 10.2.0 + Clang 11.0.0Target: + CUDA 11.1, File-System: ext4, Screen Resolution: 3440x1440

Kernel Notes: zfs.zfs_arc_max=536870912
Environment Notes: WINEDEBUG=-all
Processor Notes: Scaling Governor: acpi-cpufreq schedutil - CPU Microcode: 0x8701013
OpenCL Notes: GPU Compute Cores: 4864
Python Notes: Python 3.9.0
Security Notes: itlb_multihit: Not affected + 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 Full AMD retpoline IBPB: conditional STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 5 December 2020 23:19 by user goldensuneur.