Mac Studio (2023)
Geekbench AI Score
4376
Single Precision Score
6849
Half Precision Score
5460
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | joostl |
| Upload Date | July 26 2025 11:46 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.41 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
2231
414.9 IPS |
|
|
Image Classification (Q)
|
96% |
1588
296.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1658
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2826
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18323
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
30399
35.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
23101
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
1729
137.2 IPS |
|
|
Object Detection (HP)
|
97% |
2653
211.2 IPS |
|
|
Object Detection (Q)
|
94% |
1916
152.7 IPS |
|
|
Face Detection (SP)
|
100% |
3608
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
5685
67.5 IPS |
|
|
Face Detection (Q)
|
100% |
3295
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6024
46.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10832
83.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7640
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28039
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
43807
56.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33947
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5766
212.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7306
269.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4785
176.7 IPS |
|
|
Text Classification (SP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3980
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3929
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4255
73.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6887
119.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7384
127.6 IPS |
