Apple MacBook Pro 14" M2 Max 38-GPU (2023) in Geekbench 5

Here we show you how fast the Apple MacBook Pro 14" M2 Max 38-GPU (2023) is in the benchmark Geekbench 5. You can use the benchmark result to decide whether the product is suitable for your applications.

The Apple MacBook Pro 14" M2 Max 38-GPU (2023) uses the Apple M2 Max processor with 12 cores and has 32 - 96 GB LPDDR5 memory.

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Processor

Name: Apple M2 Max
Manufacturer: Apple
Cores / Threads: 12 / 12
Frequency: 3.50 GHz

Memory

Memory Size: 32 - 96 GB
Memory Type: LPDDR5 6400
Memory Bandwith: 409.6 GB/s

Benchmark results

Geekbench 5 - Single Core

Geekbench 5 is a multi-system benchmark and measures the performance of a computer. Geekbench version 5 contains new test fields such as augmented reality applications and calculations for machine learning.

View all Geekbench 5 benchmark results



Geekbench 5 - Multi Core

Geekbench 5 is a multi-system benchmark and measures the performance of a computer. Geekbench version 5 contains new test fields such as augmented reality applications and calculations for machine learning.

Apple MacBook Pro 16" M3 Max 14-CPU 30-GPU (2023)
36 - 96 GB LPDDR5
20,961
Amazon
Apple MacBook Pro 14" M3 Max 14-CPU 30-GPU (2023)
36 - 96 GB LPDDR5
20,961
Amazon
Apple Mac Pro 24-Core (2019)
32 - 1,536 GB DDR4
19,473
Amazon
Apple Mac Pro 28-Core (2019)
32 - 1,536 GB DDR4
17,196
Amazon
Apple MacBook Pro 14" M2 Max 38-GPU (2023)
32 - 96 GB LPDDR5
15,506
Amazon
Apple MacBook Pro 16" M2 Max 30-GPU (2023)
32 - 64 GB LPDDR5
15,506
Amazon
Apple MacBook Pro 16" M2 Max 38-GPU (2023)
32 - 96 GB LPDDR5
15,506
Amazon
Apple Mac mini M2 Pro (2023)
16 - 32 GB LPDDR5
15,506
Amazon
Apple MacBook Pro 14" M2 Max 30-GPU (2023)
32 - 64 GB LPDDR5
15,506
Amazon
View all Geekbench 5 benchmark results



More benchmarks for
Apple MacBook Pro 14" M2 Max 38-GPU (2023)

In order to determine the performance of a computer or a component in it, so-called "benchmarks" are carried out. The benchmark software carries out special calculations and measures the time it takes for the computer to complete the calculations. Since the benchmarks always run the same, the performance of several computers can be reliably compared with one another.

For this we use so-called theoretical or synthetic benchmarks such as Geekbench or Cinebench, as these support both x86 and ARM instruction sets in the current versions. We guarantee real comparability of the results by ensuring that the benchmarks are executed identically and correctly as well as by the condition of the system.

We currently use the following benchmarks to assess the performance of the products listed on our website:

Apple Devices



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