dat-arh-tests AMD Ryzen 5 3500U testing with a LENOVO LNVNB161216 (AGCN25WWV1.08 BIOS) and AMD Radeon Vega 8 2GB on Microsoft Windows 10 Home Build 18363 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2011025-FI-DATARHTES54&grr .
dat-arh-tests Processor Motherboard Memory Disk Graphics Network OS Kernel Display Driver OpenCL File-System Screen Resolution loc-dat AMD Ryzen 5 3500U @ 2.10GHz (4 Cores / 8 Threads) LENOVO LNVNB161216 (AGCN25WWV1.08 BIOS) 2 x 4096 MB 2400MHz Samsung M471A5244CB0-CTD 238GB RPFTJ256PDD2MWX AMD Radeon Vega 8 2GB Realtek 8821CE Wireless LAN 802.11ac PCI-E NIC + ASIX AX88772B USB2.0 Microsoft Windows 10 Home Build 18363 10.0 (x86_64) 26.20.11016.5002 OpenCL 2.1 AMD-APP (2841.5) NTFS 1920x1080 OpenBenchmarking.org - __user pointer sanitization: Disabled + Retpoline: Full + IBPB: Always
dat-arh-tests scimark2: Composite scimark2: Jacobi Successive Over-Relaxation scimark2: Dense LU Matrix Factorization scimark2: Sparse Matrix Multiply scimark2: Fast Fourier Transform scimark2: Monte Carlo loc-dat 431.58 899.62 512.59 537.90 69.63 105.49 OpenBenchmarking.org
SciMark Computational Test: Composite OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Composite loc-dat 90 180 270 360 450 SE +/- 5.17, N = 6 431.58
SciMark Computational Test: Jacobi Successive Over-Relaxation OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Jacobi Successive Over-Relaxation loc-dat 200 400 600 800 1000 SE +/- 31.96, N = 3 899.62
SciMark Computational Test: Dense LU Matrix Factorization OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Dense LU Matrix Factorization loc-dat 110 220 330 440 550 SE +/- 12.11, N = 3 512.59
SciMark Computational Test: Sparse Matrix Multiply OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Sparse Matrix Multiply loc-dat 120 240 360 480 600 SE +/- 3.21, N = 3 537.90
SciMark Computational Test: Fast Fourier Transform OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Fast Fourier Transform loc-dat 15 30 45 60 75 SE +/- 3.04, N = 3 69.63
SciMark Computational Test: Monte Carlo OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Monte Carlo loc-dat 20 40 60 80 100 SE +/- 5.21, N = 3 105.49
Phoronix Test Suite v10.8.4