Mac Studio (2025)
Geekbench AI Score
5388
Single Precision Score
29529
Half Precision Score
31728
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | DaGloom |
| Upload Date | February 11 2026 01:22 PM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | Mac Studio (2025) |
| Model ID | Mac15,14 |
| Motherboard | Mac15,14 |
| CPU Information | |
|---|---|
| Name | Apple M3 Ultra |
| Topology | 1 Processor, 32 Cores |
| Identifier | Apple M3 Ultra |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1665
309.7 IPS |
|
|
Image Classification (HP)
|
100% |
14095
2.62 KIPS |
|
|
Image Classification (Q)
|
97% |
14530
2.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22313
361.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
27493
445.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22496
26.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
119598
139.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
117332
137.5 IPS |
|
|
Object Detection (SP)
|
100% |
2157
171.1 IPS |
|
|
Object Detection (HP)
|
100% |
16233
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
16663
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
4620
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
37708
448.1 IPS |
|
|
Face Detection (Q)
|
100% |
49204
584.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7818
60.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
101000
778.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
112082
876.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36230
46.6 IPS |
|
|
Style Transfer (HP)
|
100% |
215743
277.3 IPS |
|
|
Style Transfer (Q)
|
96% |
207340
267.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6430
237.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36692
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41856
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
99% |
5076
6.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5020
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4943
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5395
92.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5510
95.2 IPS |
