Mac Studio (2023)
Geekbench AI Score
4548
Single Precision Score
7044
Half Precision Score
5640
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | DFW |
| Upload Date | September 16 2025 05:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.7 (Build 24G222) |
| 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 | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1458
271.2 IPS |
|
|
Image Classification (HP)
|
100% |
2272
422.6 IPS |
|
|
Image Classification (Q)
|
96% |
1675
312.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1737
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2446
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2965
48.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18168
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
30638
35.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
22889
26.8 IPS |
|
|
Object Detection (SP)
|
100% |
1807
143.3 IPS |
|
|
Object Detection (HP)
|
97% |
2770
220.5 IPS |
|
|
Object Detection (Q)
|
94% |
2008
160.1 IPS |
|
|
Face Detection (SP)
|
100% |
3764
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
6149
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
3499
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6335
48.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11164
86.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7851
61.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29641
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
43652
56.1 IPS |
|
|
Style Transfer (Q)
|
96% |
34172
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5965
220.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7445
274.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5010
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
2384
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4213
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4173
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4531
78.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6785
117.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7278
125.8 IPS |
