Mac Studio
Geekbench AI Score
12002
Single Precision Score
13366
Half Precision Score
11944
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | December 20 2024 09:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.16 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4941
918.9 IPS |
|
|
Image Classification (HP)
|
100% |
4937
918.0 IPS |
|
|
Image Classification (Q)
|
97% |
4162
776.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
12245
198.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12370
200.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12473
202.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
81885
95.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
84453
98.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
78013
91.4 IPS |
|
|
Object Detection (SP)
|
100% |
3937
312.3 IPS |
|
|
Object Detection (HP)
|
100% |
4671
370.5 IPS |
|
|
Object Detection (Q)
|
91% |
4454
355.9 IPS |
|
|
Face Detection (SP)
|
100% |
22646
269.1 IPS |
|
|
Face Detection (HP)
|
100% |
24910
296.0 IPS |
|
|
Face Detection (Q)
|
100% |
17789
211.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27912
215.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
28481
219.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
24130
188.6 IPS |
|
|
Style Transfer (SP)
|
100% |
135584
174.3 IPS |
|
|
Style Transfer (HP)
|
100% |
152573
196.1 IPS |
|
|
Style Transfer (Q)
|
96% |
141226
182.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16426
606.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16387
605.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13091
483.4 IPS |
|
|
Text Classification (SP)
|
100% |
1985
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
3876
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3839
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1138
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1099
18.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1076
18.6 IPS |
