Mac Studio (2023)
Geekbench AI Score
4006
Single Precision Score
6821
Half Precision Score
5362
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | tintigster |
| Upload Date | October 25 2025 10:45 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 | 3.37 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1308
243.3 IPS |
|
|
Image Classification (HP)
|
100% |
2190
407.3 IPS |
|
|
Image Classification (Q)
|
96% |
1559
291.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2442
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2766
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11878
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26404
30.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
20379
23.9 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.8 IPS |
|
|
Object Detection (HP)
|
97% |
2594
206.5 IPS |
|
|
Object Detection (Q)
|
94% |
1887
150.4 IPS |
|
|
Face Detection (SP)
|
100% |
3560
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6053
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3486
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5926
45.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11298
87.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7675
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25912
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41043
52.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32108
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4822
178.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6916
255.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4434
163.7 IPS |
|
|
Text Classification (SP)
|
100% |
2391
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
3974
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4036
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4343
74.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7726
133.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7710
133.2 IPS |
