Mac Studio (2023)
Geekbench AI Score
4631
Single Precision Score
26590
Half Precision Score
27415
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | kalling |
| Upload Date | March 31 2025 08:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.68 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1466
272.6 IPS |
|
|
Image Classification (HP)
|
100% |
13271
2.47 KIPS |
|
|
Image Classification (Q)
|
96% |
6579
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1833
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19589
317.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24415
395.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18895
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
104986
122.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
103347
121.1 IPS |
|
|
Object Detection (SP)
|
100% |
1857
147.3 IPS |
|
|
Object Detection (HP)
|
99% |
15742
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17614
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3707
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
35172
417.9 IPS |
|
|
Face Detection (Q)
|
100% |
46315
550.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6611
50.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
85555
659.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
108695
849.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28157
36.2 IPS |
|
|
Style Transfer (HP)
|
100% |
200401
257.6 IPS |
|
|
Style Transfer (Q)
|
96% |
187230
241.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6032
222.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40664
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48709
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2351
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4019
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4017
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4919
84.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4174
71.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4448
76.9 IPS |
