Mac Studio (2023)
Geekbench AI Score
4274
Single Precision Score
6854
Half Precision Score
5477
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tokris |
| Upload Date | March 16 2025 12:34 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5228e) |
| 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 | 3.66 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1483
275.8 IPS |
|
|
Image Classification (HP)
|
100% |
2354
437.8 IPS |
|
|
Image Classification (Q)
|
96% |
1723
321.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1752
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2626
42.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3020
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12816
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
25034
29.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
19379
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
1764
139.9 IPS |
|
|
Object Detection (HP)
|
97% |
2808
223.6 IPS |
|
|
Object Detection (Q)
|
94% |
2062
164.3 IPS |
|
|
Face Detection (SP)
|
100% |
3692
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
5730
68.1 IPS |
|
|
Face Detection (Q)
|
100% |
3393
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6284
48.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11289
87.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8109
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26397
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40626
52.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31793
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5321
196.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6924
255.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4776
176.4 IPS |
|
|
Text Classification (SP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4076
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4052
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4540
78.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7109
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6901
119.3 IPS |
