Mac Studio (2023)
Geekbench AI Score
4084
Single Precision Score
7022
Half Precision Score
5520
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | October 31 2025 10:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,13 |
| Motherboard | Mac14,13 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1409
262.0 IPS |
|
|
Image Classification (HP)
|
100% |
2368
440.4 IPS |
|
|
Image Classification (Q)
|
96% |
1727
322.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2672
43.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2947
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11910
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26512
30.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
20505
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
1642
130.3 IPS |
|
|
Object Detection (HP)
|
97% |
2654
211.3 IPS |
|
|
Object Detection (Q)
|
94% |
1971
157.1 IPS |
|
|
Face Detection (SP)
|
100% |
3643
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
6187
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
3496
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5922
45.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11497
88.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8112
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25027
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41081
52.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31086
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5084
187.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6975
257.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4734
174.8 IPS |
|
|
Text Classification (SP)
|
100% |
2440
3.26 KIPS |
|
|
Text Classification (HP)
|
99% |
4185
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
3890
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4054
69.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7678
132.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7873
136.1 IPS |
