![]() ![]() For 4800 (4319 for edu) you get 16 big cores, 128GB RAM, 800GB/s memory bandwidth. So I expect I left some performance on the table by using gfortran for M1. This time it's configurable up to 128GB RAM so I'd say it's finally usable. The Intel compiler does some aggressive vectorization and optimization when compiling USM3D, and historically it has given better performance on x86-64 than gfortran. Apple Silicon M1 Chip in MacBook Air Outperforms High-End 16-Inch MacBook Pro. As part of the text flow capabilities, these programs can wrap text around graphics and link text. “I’ve used the Intel Fortran compiler for over 30 years (it was DEC Fortran then Compaq Fortran before becoming Intel Fortran) and I know how to get the most out of it. The community for everything related to Apples Mac computers Advertisement Coins. “To be honest, I think this puts the M1 USM3D executable at a slight disadvantage to the Intel USM3D executable,” he continued. “I used the stock USM3D source with gfortran and did a fairly standard compile with -O3 optimization.” And now DixieFlatline (Slashdot reader 5,077) describes Hunter’s newest experiment: Craig Hunter has. Craig Hunter is a mechanical/aerospace engineer with over 25 years of journey in intention development. ![]() “I didn’t link to any Apple frameworks when compiling USM3D on M1, or attempt to tune or optimize code for Accelerate or AMX,” the engineer and app developer said. Mac Studio’s M1 Ultra Chip Outperforms on Computational Fluid Dynamics Benchmarks () Posted by EditorDavid on Saturday Ap02: 34PM from the in-the-chips dept. Its just amazing how ubiquitous things have gotten. According to Hunter’s results, an M1 Ultra running six threads matches the performance of a 28-core Xeon workstation from 2019.Īny lingering hopes that the M1 Ultra suffers a sudden and unexplained scaling calamity above six cores are dashed once we extend the graph’s y-axis high enough to accommodate the data. I know that there were computers that sold for a lot more than what I was buying that house for then. While the chip family has been widely reviewed in a number of common consumer applications, inevitable differences between macOS and Windows, the impact of emulation, and varying degrees of optimization between x86 and M1 all make precise measurement more difficult.Īn interesting new benchmark result and accompanying review from app developer and engineer Craig Hunter shows the M1 Ultra absolutely destroying every Intel x86 CPU on the field. It’s surprisingly hard to pin down exactly how Apple’s M1 compares to Intel’s x86 processors. By Joel Hruska in ExtremeTech on at 5:00 am.And with the M2 chip expected later this year, Apple is only just getting started. The Apple M1 Ultra Crushes Intel in Computational Fluid Dynamics Performance All in all, it appears that Intel's claim that its new Core i9 processor is faster than the M1 Max chip holds up, but Apple likely has no regrets with switching to its own power-efficient chips for thin-and-light notebooks like the MacBook Air and MacBook Pro. ![]()
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