Mac Studio (2023)
Geekbench AI Score
4367
Single Precision Score
27183
Half Precision Score
30348
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MarcusBenjamin |
| Upload Date | December 03 2025 01:12 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.62 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1366
254.0 IPS |
|
|
Image Classification (HP)
|
100% |
14494
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
17039
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1720
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20057
325.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24724
400.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16955
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
107137
125.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
105775
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
1695
134.5 IPS |
|
|
Object Detection (HP)
|
99% |
16411
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
18174
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3685
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
35889
426.4 IPS |
|
|
Face Detection (Q)
|
100% |
47166
560.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6095
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
89777
691.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
112179
876.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29601
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
206274
265.2 IPS |
|
|
Style Transfer (Q)
|
96% |
193009
249.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5276
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44629
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50616
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2410
3.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4060
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4008
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4426
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3580
61.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3951
68.3 IPS |
