Mac Studio (2023)
Geekbench AI Score
4085
Single Precision Score
6489
Half Precision Score
5215
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | March 15 2025 08:17 AM |
| Views | 5 |
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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1406
261.5 IPS |
|
|
Image Classification (HP)
|
100% |
2251
418.7 IPS |
|
|
Image Classification (Q)
|
96% |
1656
309.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1673
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2515
40.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2861
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12706
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
24937
29.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
19424
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
1629
129.2 IPS |
|
|
Object Detection (HP)
|
97% |
2590
206.2 IPS |
|
|
Object Detection (Q)
|
94% |
1892
150.8 IPS |
|
|
Face Detection (SP)
|
100% |
3595
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
5656
67.2 IPS |
|
|
Face Detection (Q)
|
100% |
3343
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6049
46.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10979
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7610
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24754
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37470
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30282
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4992
184.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6288
232.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4478
165.4 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3924
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3883
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4312
74.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6312
109.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6390
110.4 IPS |
