Mac Studio (2023)
Geekbench AI Score
4533
Single Precision Score
7397
Half Precision Score
5820
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Jaleelajmal |
| Upload Date | November 05 2025 05:38 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1452
270.0 IPS |
|
|
Image Classification (HP)
|
100% |
2295
426.8 IPS |
|
|
Image Classification (Q)
|
96% |
1676
313.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1754
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2455
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2981
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18687
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
36187
42.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
25073
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
1808
143.4 IPS |
|
|
Object Detection (HP)
|
97% |
2821
224.6 IPS |
|
|
Object Detection (Q)
|
94% |
2058
164.0 IPS |
|
|
Face Detection (SP)
|
100% |
3865
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
6342
75.4 IPS |
|
|
Face Detection (Q)
|
100% |
3558
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6317
48.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11792
91.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8042
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27310
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
46499
59.8 IPS |
|
|
Style Transfer (Q)
|
96% |
35242
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5598
206.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7117
262.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5075
187.4 IPS |
|
|
Text Classification (SP)
|
100% |
2494
3.33 KIPS |
|
|
Text Classification (HP)
|
99% |
4247
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4207
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4583
78.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8120
140.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8043
139.0 IPS |
