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Apple M2 Pro (10-CPU 16-GPU) vs. Apple M1 Pro (10-CPU 14-GPU)


Cpu Benchmark with benchmarks

Apple M2 Pro (10-CPU 16-GPU)
Apple M1 Pro (10-CPU 14-GPU)
Apple M2 Pro (10-CPU 16-GPU) Apple M1 Pro (10-CPU 14-GPU)
3.50 GHz Frequency 3.20 GHz
3.50 GHz Turbo (1 Core) 3.20 GHz
2.80 GHz Turbo (All Cores) 2.06 GHz
10 Cores 10
No Hyperthreading ? No
No Overclocking ? No
hybrid (big.LITTLE) Core architecture hybrid (big.LITTLE)
Apple M2 Pro (16 Core) GPU Apple M1 Pro (14 Core)
DirectX Version
2 Max. displays 3
LPDDR5-6400 Memory LPDDR5-6400
2 (Dual Channel) Memory channels 2
32 GB Max. Memory 32 GB
No ECC No
28.00 MB L2 Cache 28.00 MB
-- L3 Cache --
PCIe version
PCIe lanes
5 nm Technology 5 nm
-- Socket N/A
TDP 30 W
Apple Virtualization Framework Virtualization Apple Virtualization Framework
Q1/2023 Release date Q3/2021
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Cinebench R23 (Single-Core)

Cinebench R23 is the successor of Cinebench R20 and is also based on the Cinema 4 Suite. Cinema 4 is a worldwide used software to create 3D forms. The single-core test only uses one CPU core, the amount of cores or hyperthreading ability doesn't count.

73% Complete
70% Complete

Cinebench R23 (Multi-Core)

Cinebench R23 is the successor of Cinebench R20 and is also based on the Cinema 4 Suite. Cinema 4 is a worldwide used software to create 3D forms. The multi-core test involves all CPU cores and taks a big advantage of hyperthreading.

19% Complete
19% Complete

Geekbench 5, 64bit (Single-Core)

Geekbench 5 is a cross plattform benchmark that heavily uses the systems memory. A fast memory will push the result a lot. The single-core test only uses one CPU core, the amount of cores or hyperthreading ability doesn't count.

84% Complete
79% Complete

Geekbench 5, 64bit (Multi-Core)

Geekbench 5 is a cross plattform benchmark that heavily uses the systems memory. A fast memory will push the result a lot. The multi-core test involves all CPU cores and taks a big advantage of hyperthreading.

18% Complete
25% Complete

iGPU - FP32 Performance (Single-precision GFLOPS)

The theoretical computing performance of the internal graphics unit of the processor with simple accuracy (32 bit) in GFLOPS. GFLOPS indicates how many billion floating point operations the iGPU can perform per second.

21% Complete
22% Complete

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Apple M2 Pro (10-CPU 16-GPU) vs. Apple M1 Pro (10-CPU 14-GPU) - Cpu Benchmark Specs & Test
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