Performance per Watt – one of Apple’s key pitches for its processors – has also improved.Īt peak power consumption, the M2 chips provide 18% higher CPU performance and 35% higher GPU performance than their predecessors, although peak GPU power use has itself increased by around 25%.įor processing AI operations, the M2 chips provide “over 40 percent” higher Neural Engine performance than their predecessors, although actual Neural Engine core count remains unchanged. Memory bandwidth is also up 50% on the M1, to 100GB/s.ĬPU core count remains unchanged, although Apple says that the M2 has an “18 percent faster CPU” than the M1, based on unspecified “industry‑standard benchmarks”. However, whereas both the A370M and RTX A500 have only 4GB of VRAM, the M2 supports up to 24GB of unified memory, up 8GB on the M1. That’s higher than Intel’s Arc A370M laptop GPU, but significantly lower than Nvidia’s entry-level RTX A500. In its top-of-the-range configuration, it sports a 10-core GPU, up from a maximum of eight cores for the M1, with a corresponding increase in FP32 compute performance from 2.6 to 3.6 Teraflops. The first of a new generation of Apple Silicon processors built on 5nm technology, the M2 improves on many of the key specifications of 2020’s original M1 processors. Incremental improvements across the board on the original M1 processors (2) Figure for the M1 processor is estimated So how will that translate into real-world performance in CG software? In its maximum configuration, the M2 provides two more GPU cores and 50% higher memory bandwidth than the M1, and supports 24GB of memory. The M2, due to ship next month in new MacBook Air and MacBook Pro laptops provides improvements across the board on the original M1 chips, although it doesn’t match the specs of the M1 Pro, Max and Ultra. Skip to 00:55:00 to see the announcement of the new M2 processor.Īpple has unveiled the M2, the first chip in its second generation of Apple Silicon processors.
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