Mac Studio
Geekbench AI Score
3730
Single Precision Score
5601
Half Precision Score
4717
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | redandy |
| Upload Date | November 01 2024 11:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1288
239.6 IPS |
|
|
Image Classification (HP)
|
100% |
1902
353.7 IPS |
|
|
Image Classification (Q)
|
96% |
1417
264.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2597
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13533
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
24181
28.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
18837
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
1540
122.2 IPS |
|
|
Object Detection (HP)
|
97% |
2300
183.1 IPS |
|
|
Object Detection (Q)
|
94% |
1674
133.5 IPS |
|
|
Face Detection (SP)
|
100% |
3332
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
5266
62.6 IPS |
|
|
Face Detection (Q)
|
100% |
3102
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6040
46.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10946
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7246
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21332
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35405
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26994
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3869
142.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6528
241.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4144
153.0 IPS |
|
|
Text Classification (SP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3975
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3948
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3349
57.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2566
44.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4736
81.8 IPS |
