Mac Studio (2023)
Geekbench AI Score
4567
Single Precision Score
7207
Half Precision Score
5628
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | kalling |
| Upload Date | March 31 2025 08:42 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.68 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1464
272.2 IPS |
|
|
Image Classification (HP)
|
100% |
2214
411.7 IPS |
|
|
Image Classification (Q)
|
96% |
1632
304.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2494
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3117
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18263
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
31774
37.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
23627
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
1850
146.7 IPS |
|
|
Object Detection (HP)
|
97% |
2894
230.4 IPS |
|
|
Object Detection (Q)
|
94% |
2060
164.2 IPS |
|
|
Face Detection (SP)
|
100% |
3612
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
6519
77.5 IPS |
|
|
Face Detection (Q)
|
100% |
3652
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6477
49.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12153
93.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8094
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27547
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
42422
54.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32803
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6025
222.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8199
302.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5016
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4020
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4029
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4963
85.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6722
116.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6582
113.8 IPS |
