Mac Studio (2023)
Geekbench AI Score
18086
Single Precision Score
19407
Half Precision Score
17655
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | kalling |
| Upload Date | March 31 2025 08:10 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,14 |
| Motherboard | Mac14,14 |
| CPU Information | |
|---|---|
| Name | Apple M2 Ultra |
| Topology | 1 Processor, 24 Cores |
| Identifier | Apple M2 Ultra |
| Base Frequency | 3.67 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6287
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
6340
1.18 KIPS |
|
|
Image Classification (Q)
|
97% |
5757
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17850
289.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18348
297.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19312
313.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
138489
161.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
143212
167.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
130585
153.1 IPS |
|
|
Object Detection (SP)
|
100% |
6288
498.8 IPS |
|
|
Object Detection (HP)
|
100% |
6326
501.8 IPS |
|
|
Object Detection (Q)
|
91% |
5688
454.5 IPS |
|
|
Face Detection (SP)
|
100% |
35109
417.2 IPS |
|
|
Face Detection (HP)
|
100% |
35880
426.3 IPS |
|
|
Face Detection (Q)
|
100% |
28098
333.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
35078
270.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
36987
285.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
32335
252.7 IPS |
|
|
Style Transfer (SP)
|
100% |
228555
293.8 IPS |
|
|
Style Transfer (HP)
|
100% |
230772
296.7 IPS |
|
|
Style Transfer (Q)
|
96% |
212598
274.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25723
949.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26672
984.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21419
790.9 IPS |
|
|
Text Classification (SP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4034
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3999
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2255
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2183
37.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2154
37.2 IPS |
