#Geekbench m1 pro pro
Apple M1 Pro (8 Core) contains 8 processing cores. Its base clock speed is 3.20 GHz, and maximum clock speed in turbo boost - No turbo. On this page, youll find out which processor has better performance in benchmarks. Seems like M1 Max is around 4-5 faster in multi-core and 1-2 faster in single-core workloads. We compared two laptop CPUs: the 2.0 GHz Apple M1 Pro with 10-cores against the 2.7 GHz AMD Ryzen 7 6800U with 8-cores. I was wondering if I made a mistake going with M1 Pro instead of M1 Max. Irrespective of performance numbers, the take home message here is how Apple has managed to scale performance and efficiency in a manner that's previously unheard of before. Apple M1 Pro (8 Core) - Benchmark, Test and Specs Compare with other CPU The processor Apple M1 Pro (8 Core) is developed on the 5 nm technology node and architecture M1. Hey, I parsed Geekbench scores and did a quick violin plot. GPUs are incredibly complex pieces of silicon, so a GPU with a lower SM count may perform poor in one test and excel in another. SM count alone does not translate to real-world benefits. In the case of the RTX 3060 Laptop GPU, the 30 compute units translate to 3,840 SMs. So, a 32-core M1 Max will have 32*16*8 = 4,096 streaming multiprocessors (SM). That being said, we do know for a fact that an M1 SoC's core is made of 16 execution units with eight compute units each. Now, there is no standardized definition for what a core and compute unit are when it comes to GPUs and Geekbench's use of the term "compute unit" here may actually refer to the core count that Apple is alluding to in the specs. Geekbench reports the number of compute units in the M1 Max as 32.
That is exactly what seems to be happening here. In that article, we had noted that the advantages of these GPUs can vary depending on the exact workflow.
Previously, we had seen the M1 Max just inching past the RTX 3060 Laptop in GFXBench, though we were not exactly sure which TGP variant of the Nvidia card was actually used in that test. According to the listing, the M1 Max appears to be sporting 64 GB of unified memory, 10 CPU cores, and 32 compute units.Ĭomparison of OpenCL performance between these two systems shows the Nvidia RTX 3060 Laptop in the to be 51.3% faster than the M1 Max's GPU in the Geekbench 5.4 OpenCL benchmark. In this case, we have a face-off between a Dell featuring a Core i7-11800H and an Nvidia GeForce RTX 3060 Laptop GPU and a MacBook Pro 16 with the M1 Max SoC. These scores make for some interesting comparisons. The Geekbench database, too, is being steadily populated with several M1 Max compute scores. Apple's recently announced MacBook Pro 14 and MacBook Pro 16 have begun shipping, and it is likely that several testers may have got their devices already gauging by the steady number of benchmarks we've been seeing of late.
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