Mac Studio (2023)
Geekbench AI Score
4512
Single Precision Score
7101
Half Precision Score
5600
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | l3uzz |
| Upload Date | May 18 2025 08:04 PM |
| 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 | 3.68 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1461
271.7 IPS |
|
|
Image Classification (HP)
|
100% |
2290
425.9 IPS |
|
|
Image Classification (Q)
|
96% |
1685
314.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1727
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3037
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17861
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30493
35.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
22722
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
1827
144.9 IPS |
|
|
Object Detection (HP)
|
97% |
2799
222.9 IPS |
|
|
Object Detection (Q)
|
94% |
2027
161.5 IPS |
|
|
Face Detection (SP)
|
100% |
3634
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
6175
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3576
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6327
48.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11160
86.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7742
60.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29500
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
43759
56.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33576
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6025
222.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7601
280.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5036
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
2367
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4139
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4125
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4394
75.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7092
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6665
115.2 IPS |
