Mac Studio (2023)
Geekbench AI Score
4399
Single Precision Score
7263
Half Precision Score
5681
Quantized Score
Geekbench AI 1.7.0 Pro for macOS AArch64
Result Information
| User | mprimeaux |
| Upload Date | March 19 2026 05:22 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 3.66 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1366
254.0 IPS |
|
|
Image Classification (HP)
|
100% |
2258
419.9 IPS |
|
|
Image Classification (Q)
|
96% |
1647
307.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1718
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2437
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2982
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17728
20.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
34477
40.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
23981
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
1726
136.9 IPS |
|
|
Object Detection (HP)
|
97% |
2712
215.9 IPS |
|
|
Object Detection (Q)
|
94% |
1994
158.9 IPS |
|
|
Face Detection (SP)
|
100% |
3607
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
6107
72.6 IPS |
|
|
Face Detection (Q)
|
100% |
3525
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6118
47.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11525
89.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7935
62.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29247
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
48789
62.7 IPS |
|
|
Style Transfer (Q)
|
96% |
36720
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5288
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7091
261.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4907
181.2 IPS |
|
|
Text Classification (SP)
|
100% |
2463
3.29 KIPS |
|
|
Text Classification (HP)
|
99% |
4075
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
3962
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4501
77.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8001
138.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7478
129.2 IPS |
