Mac Studio (2023)
Geekbench AI Score
4471
Single Precision Score
23582
Half Precision Score
26288
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | May 10 2025 01:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.48 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1463
272.1 IPS |
|
|
Image Classification (HP)
|
100% |
12958
2.41 KIPS |
|
|
Image Classification (Q)
|
99% |
15297
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1666
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15642
253.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
15704
254.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18247
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
102365
119.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
97050
113.8 IPS |
|
|
Object Detection (SP)
|
100% |
1816
144.1 IPS |
|
|
Object Detection (HP)
|
99% |
14212
1.13 KIPS |
|
|
Object Detection (Q)
|
91% |
17327
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3654
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
23821
283.0 IPS |
|
|
Face Detection (Q)
|
100% |
36546
434.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6163
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
71993
554.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
80463
622.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28496
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
155579
200.0 IPS |
|
|
Style Transfer (Q)
|
100% |
157144
202.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6000
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39906
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
47141
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2367
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4114
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4094
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4345
74.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4118
70.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4375
75.6 IPS |
