Mac Studio M2 Max 32 GB/512 HD Mac Studio (2023)
Geekbench AI Score
4136
Single Precision Score
6585
Half Precision Score
5321
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | konopek1971 |
| Upload Date | July 21 2025 11:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1405
261.2 IPS |
|
|
Image Classification (HP)
|
100% |
2238
416.3 IPS |
|
|
Image Classification (Q)
|
96% |
1662
310.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1679
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2455
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2866
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12953
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25401
29.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
18946
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
1670
132.5 IPS |
|
|
Object Detection (HP)
|
97% |
2644
210.5 IPS |
|
|
Object Detection (Q)
|
94% |
1983
158.0 IPS |
|
|
Face Detection (SP)
|
100% |
3560
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
5762
68.5 IPS |
|
|
Face Detection (Q)
|
100% |
3344
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6188
47.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11190
86.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7886
61.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24997
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38445
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30466
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5053
186.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6184
228.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4536
167.5 IPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4054
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4029
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4392
75.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6688
115.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6934
119.8 IPS |
