Mac Studio
Geekbench AI Score
12143
Single Precision Score
13053
Half Precision Score
11655
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | blix742 |
| Upload Date | February 10 2025 10:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4693
872.8 IPS |
|
|
Image Classification (HP)
|
100% |
4713
876.4 IPS |
|
|
Image Classification (Q)
|
97% |
3787
706.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
12033
195.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12243
198.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12424
201.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
82105
95.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
84637
98.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
77775
91.2 IPS |
|
|
Object Detection (SP)
|
100% |
4341
344.3 IPS |
|
|
Object Detection (HP)
|
100% |
4996
396.3 IPS |
|
|
Object Detection (Q)
|
91% |
4306
344.1 IPS |
|
|
Face Detection (SP)
|
100% |
22927
272.4 IPS |
|
|
Face Detection (HP)
|
100% |
23794
282.7 IPS |
|
|
Face Detection (Q)
|
100% |
18541
220.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27221
209.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
27545
212.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
23589
184.4 IPS |
|
|
Style Transfer (SP)
|
100% |
136334
175.3 IPS |
|
|
Style Transfer (HP)
|
100% |
150687
193.7 IPS |
|
|
Style Transfer (Q)
|
96% |
139398
179.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15239
562.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15362
567.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12610
465.6 IPS |
|
|
Text Classification (SP)
|
100% |
2274
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3926
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3859
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1175
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
990
17.1 IPS |
