Mac Studio (2023)
Geekbench AI Score
4606
Single Precision Score
7124
Half Precision Score
5576
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Aaronage |
| Upload Date | May 01 2025 09:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.49 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1463
272.1 IPS |
|
|
Image Classification (HP)
|
100% |
2264
421.0 IPS |
|
|
Image Classification (Q)
|
96% |
1640
306.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1788
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2483
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3047
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19032
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
30805
35.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
23506
27.6 IPS |
|
|
Object Detection (SP)
|
100% |
1857
147.3 IPS |
|
|
Object Detection (HP)
|
97% |
2902
231.0 IPS |
|
|
Object Detection (Q)
|
94% |
2046
163.0 IPS |
|
|
Face Detection (SP)
|
100% |
3757
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
6138
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
3510
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6520
50.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12130
93.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8074
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27159
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41674
53.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32323
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6054
223.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8121
299.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4983
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4022
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4005
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
5010
86.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6620
114.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6618
114.4 IPS |
