Mac Studio
Geekbench AI Score
14350
Single Precision Score
15519
Half Precision Score
14652
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 22 2025 08:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 3.22 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5146
957.0 IPS |
|
|
Image Classification (HP)
|
100% |
4802
893.1 IPS |
|
|
Image Classification (Q)
|
96% |
4548
849.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
16340
264.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16426
266.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15124
245.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
95624
111.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
100548
117.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
96210
112.7 IPS |
|
|
Object Detection (SP)
|
100% |
5213
413.5 IPS |
|
|
Object Detection (HP)
|
100% |
5203
412.7 IPS |
|
|
Object Detection (Q)
|
92% |
4906
391.6 IPS |
|
|
Face Detection (SP)
|
100% |
27731
329.5 IPS |
|
|
Face Detection (HP)
|
100% |
27799
330.3 IPS |
|
|
Face Detection (Q)
|
100% |
24755
294.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
29036
223.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
29732
229.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
27525
215.0 IPS |
|
|
Style Transfer (SP)
|
100% |
157810
202.9 IPS |
|
|
Style Transfer (HP)
|
100% |
181081
232.8 IPS |
|
|
Style Transfer (Q)
|
96% |
173967
224.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18580
686.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19563
722.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17327
639.8 IPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
4089
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4054
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1604
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1641
28.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1687
29.1 IPS |
