Mac Studio
Geekbench AI Score
14701
Single Precision Score
16024
Half Precision Score
14934
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 13 2025 10:38 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac Studio |
| Model ID | Mac13,2 |
| Motherboard | Mac13,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Ultra |
| Topology | 1 Processor, 20 Cores |
| Identifier | Apple M1 Ultra |
| Base Frequency | 3.12 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5068
942.5 IPS |
|
|
Image Classification (HP)
|
100% |
4872
906.0 IPS |
|
|
Image Classification (Q)
|
96% |
4540
847.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
16443
266.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16358
265.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15405
249.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
96055
112.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
101911
118.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
97012
113.6 IPS |
|
|
Object Detection (SP)
|
100% |
5322
422.1 IPS |
|
|
Object Detection (HP)
|
100% |
5208
413.1 IPS |
|
|
Object Detection (Q)
|
92% |
4894
390.7 IPS |
|
|
Face Detection (SP)
|
100% |
26238
311.8 IPS |
|
|
Face Detection (HP)
|
100% |
27772
330.0 IPS |
|
|
Face Detection (Q)
|
100% |
23805
282.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
29997
231.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
30716
236.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
28136
219.8 IPS |
|
|
Style Transfer (SP)
|
100% |
158550
203.8 IPS |
|
|
Style Transfer (HP)
|
100% |
184420
237.1 IPS |
|
|
Style Transfer (Q)
|
96% |
178050
229.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18842
695.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19871
733.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17332
640.0 IPS |
|
|
Text Classification (SP)
|
100% |
2274
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3939
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3920
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2071
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2144
36.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2052
35.5 IPS |
