Geekbench 5, 64bit (Multi-Core)
|
|
Apple M2 Pro (10-CPU 16-GPU)
10C 10T @ 3.5 GHz
|
12224
|
|
|
Apple M1 Pro (8-CPU)
8C 8T @ 3.2 GHz
|
9996
|
Cinebench R23 (Multi-Core)
|
|
Apple M2 Pro (10-CPU 16-GPU)
10C 10T @ 3.5 GHz
|
12125
|
|
|
Apple M1 Pro (8-CPU)
8C 8T @ 3.2 GHz
|
9569
|
Geekbench 6 (Multi-Core)
|
|
Apple M2 Pro (10-CPU 16-GPU)
10C 10T @ 3.5 GHz
|
12084
|
|
|
Apple M1 Pro (8-CPU)
8C 8T @ 3.2 GHz
|
10412
|
iGPU - FP32 Performance (Single-precision GFLOPS)
|
|
Apple M2 Pro (10-CPU 16-GPU)
10C 10T @ 3.5 GHz
|
5680
|
|
|
Apple M1 Pro (8-CPU)
8C 8T @ 3.2 GHz
|
4580
|
Geekbench 6 (Single-Core)
|
|
Apple M2 Pro (10-CPU 16-GPU)
10C 10T @ 3.5 GHz
|
2689
|
|
|
Apple M1 Pro (8-CPU)
8C 8T @ 3.2 GHz
|
2397
|
Geekbench 5, 64bit (Single-Core)
|
|
Apple M2 Pro (10-CPU 16-GPU)
10C 10T @ 3.5 GHz
|
1874
|
|
|
Apple M1 Pro (8-CPU)
8C 8T @ 3.2 GHz
|
1768
|
Cinebench R23 (Single-Core)
|
|
Apple M2 Pro (10-CPU 16-GPU)
10C 10T @ 3.5 GHz
|
1695
|
|
|
Apple M1 Pro (8-CPU)
8C 8T @ 3.2 GHz
|
1534
|
Performance for Artificial Intelligence (AI) and Machine Learning (ML)
|
|
Apple M2 Pro (10-CPU 16-GPU)
10C 10T @ 3.5 GHz
|
15.8
|
|
|
Apple M1 Pro (8-CPU)
8C 8T @ 3.2 GHz
|
11
|
