Mac Studio
Geekbench AI Score
13237
Single Precision Score
14238
Half Precision Score
12886
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Mizar |
| Upload Date | March 10 2025 10:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
4982
926.6 IPS |
|
|
Image Classification (HP)
|
100% |
4756
884.5 IPS |
|
|
Image Classification (Q)
|
97% |
4250
793.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
13800
223.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13701
222.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13968
226.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
94630
110.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
98501
114.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
89456
104.9 IPS |
|
|
Object Detection (SP)
|
100% |
4331
343.6 IPS |
|
|
Object Detection (HP)
|
100% |
4992
396.0 IPS |
|
|
Object Detection (Q)
|
91% |
4536
362.5 IPS |
|
|
Face Detection (SP)
|
100% |
27381
325.3 IPS |
|
|
Face Detection (HP)
|
100% |
27248
323.8 IPS |
|
|
Face Detection (Q)
|
100% |
20796
247.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
29111
224.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
28573
220.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
24898
194.6 IPS |
|
|
Style Transfer (SP)
|
100% |
157840
202.9 IPS |
|
|
Style Transfer (HP)
|
100% |
179189
230.4 IPS |
|
|
Style Transfer (Q)
|
96% |
165665
213.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18706
690.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18777
693.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15157
559.7 IPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3897
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3896
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1098
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1035
17.9 IPS |
