Geekbench 5, 64bit (Multi-Core)
|
|
Apple M2 Ultra (60-GPU)
24C 24T @ 3.5 GHz
|
29384
|
|
|
Apple M1 Ultra (48-GPU)
20C 20T @ 3.2 GHz
|
24055
|
Cinebench R23 (Multi-Core)
|
|
Apple M2 Ultra (60-GPU)
24C 24T @ 3.5 GHz
|
28967
|
|
|
Apple M1 Ultra (48-GPU)
20C 20T @ 3.2 GHz
|
24189
|
Geekbench 6 (Multi-Core)
|
|
Apple M2 Ultra (60-GPU)
24C 24T @ 3.5 GHz
|
27376
|
|
|
Apple M1 Ultra (48-GPU)
20C 20T @ 3.2 GHz
|
23970
|
iGPU - FP32 Performance (Single-precision GFLOPS)
|
|
Apple M2 Ultra (60-GPU)
24C 24T @ 3.5 GHz
|
21300
|
|
|
Apple M1 Ultra (48-GPU)
20C 20T @ 3.2 GHz
|
15900
|
Geekbench 6 (Single-Core)
|
|
Apple M2 Ultra (60-GPU)
24C 24T @ 3.5 GHz
|
2689
|
|
|
Apple M1 Ultra (48-GPU)
20C 20T @ 3.2 GHz
|
2397
|
Geekbench 5, 64bit (Single-Core)
|
|
Apple M2 Ultra (60-GPU)
24C 24T @ 3.5 GHz
|
1874
|
|
|
Apple M1 Ultra (48-GPU)
20C 20T @ 3.2 GHz
|
1793
|
Cinebench R23 (Single-Core)
|
|
Apple M2 Ultra (60-GPU)
24C 24T @ 3.5 GHz
|
1695
|
|
|
Apple M1 Ultra (48-GPU)
20C 20T @ 3.2 GHz
|
1534
|
Performance for Artificial Intelligence (AI) and Machine Learning (ML)
|
|
Apple M2 Ultra (60-GPU)
24C 24T @ 3.5 GHz
|
31.6
|
|
|
Apple M1 Ultra (48-GPU)
20C 20T @ 3.2 GHz
|
22
|
