Mac Studio
Geekbench AI Score
13153
Single Precision Score
14224
Half Precision Score
13223
Quantized Score
Geekbench AI 1.2.0 Pro for macOS AArch64
Result Information
| User | coorelle |
| Upload Date | March 14 2025 09:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
5233
973.2 IPS |
|
|
Image Classification (HP)
|
100% |
5015
932.7 IPS |
|
|
Image Classification (Q)
|
97% |
4287
800.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
14015
227.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14030
227.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
14092
228.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
94707
110.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
98865
115.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
90295
105.8 IPS |
|
|
Object Detection (SP)
|
100% |
4571
362.5 IPS |
|
|
Object Detection (HP)
|
100% |
4631
367.4 IPS |
|
|
Object Detection (Q)
|
91% |
4723
377.4 IPS |
|
|
Face Detection (SP)
|
100% |
26119
310.4 IPS |
|
|
Face Detection (HP)
|
100% |
24759
294.2 IPS |
|
|
Face Detection (Q)
|
100% |
20769
246.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
23861
183.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
27836
214.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
25466
199.0 IPS |
|
|
Style Transfer (SP)
|
100% |
160725
206.6 IPS |
|
|
Style Transfer (HP)
|
100% |
183234
235.6 IPS |
|
|
Style Transfer (Q)
|
96% |
170214
219.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19652
725.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19601
723.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15721
580.5 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3983
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3964
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1068
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1131
19.5 IPS |
