Mac Studio (2023)
Geekbench AI Score
4512
Single Precision Score
27292
Half Precision Score
30335
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Jaleelajmal |
| Upload Date | November 05 2025 05:45 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
1451
269.9 IPS |
|
|
Image Classification (HP)
|
100% |
13958
2.60 KIPS |
|
|
Image Classification (Q)
|
96% |
16828
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1749
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19907
322.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24365
395.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17972
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
105403
123.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104212
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1795
142.4 IPS |
|
|
Object Detection (HP)
|
99% |
16127
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
18009
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3826
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
36016
428.0 IPS |
|
|
Face Detection (Q)
|
100% |
46444
551.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6216
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
87635
675.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
107265
838.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27883
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
201732
259.3 IPS |
|
|
Style Transfer (Q)
|
96% |
190436
245.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5732
211.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43842
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50228
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2470
3.30 KIPS |
|
|
Text Classification (HP)
|
99% |
4232
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4156
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4552
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4110
70.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4330
74.8 IPS |
