Mac Studio M1 Ultra - GPU Mac Studio
Geekbench AI Score
13060
Single Precision Score
14118
Half Precision Score
13517
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | thomasS |
| Upload Date | March 13 2026 03:07 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.7.4 (Build 24G517) |
| 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 | 3.20 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4751
883.5 IPS |
|
|
Image Classification (HP)
|
100% |
4631
861.2 IPS |
|
|
Image Classification (Q)
|
96% |
4279
799.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
14198
230.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14389
233.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
13673
221.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
81348
94.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
88761
103.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
84124
98.5 IPS |
|
|
Object Detection (SP)
|
100% |
4975
394.6 IPS |
|
|
Object Detection (HP)
|
100% |
3983
315.9 IPS |
|
|
Object Detection (Q)
|
92% |
4699
375.1 IPS |
|
|
Face Detection (SP)
|
100% |
23727
281.9 IPS |
|
|
Face Detection (HP)
|
100% |
23995
285.1 IPS |
|
|
Face Detection (Q)
|
100% |
21166
251.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
27318
210.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
28001
215.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
26241
205.0 IPS |
|
|
Style Transfer (SP)
|
100% |
136546
175.5 IPS |
|
|
Style Transfer (HP)
|
100% |
151956
195.3 IPS |
|
|
Style Transfer (Q)
|
96% |
147192
190.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15571
575.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18173
671.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15673
578.7 IPS |
|
|
Text Classification (SP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
4030
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4001
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1691
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1787
30.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1718
29.7 IPS |
