Mac Studio (2023)
Geekbench AI Score
15148
Single Precision Score
16691
Half Precision Score
15415
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | tintigster |
| Upload Date | October 25 2025 10:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.32 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6839
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
6915
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6340
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14001
227.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13846
224.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13265
215.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
62352
72.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
66989
78.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
64439
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
6214
492.9 IPS |
|
|
Object Detection (HP)
|
100% |
6619
525.0 IPS |
|
|
Object Detection (Q)
|
92% |
6177
493.1 IPS |
|
|
Face Detection (SP)
|
100% |
25968
308.6 IPS |
|
|
Face Detection (HP)
|
100% |
26787
318.3 IPS |
|
|
Face Detection (Q)
|
100% |
22954
272.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
30027
231.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
31013
238.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
28166
220.0 IPS |
|
|
Style Transfer (SP)
|
100% |
115218
148.1 IPS |
|
|
Style Transfer (HP)
|
100% |
131503
169.0 IPS |
|
|
Style Transfer (Q)
|
96% |
127106
164.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20577
759.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21951
810.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18916
698.5 IPS |
|
|
Text Classification (SP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3982
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3963
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4000
68.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4140
71.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3676
63.5 IPS |
