Mac Studio
Geekbench AI Score
3810
Single Precision Score
15435
Half Precision Score
15281
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MK500 |
| Upload Date | November 17 2024 12:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1278
237.6 IPS |
|
|
Image Classification (HP)
|
100% |
6549
1.22 KIPS |
|
|
Image Classification (Q)
|
96% |
6298
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9862
159.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10454
169.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15350
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70697
82.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
67389
79.0 IPS |
|
|
Object Detection (SP)
|
100% |
1543
122.4 IPS |
|
|
Object Detection (HP)
|
99% |
7735
615.3 IPS |
|
|
Object Detection (Q)
|
91% |
7250
579.3 IPS |
|
|
Face Detection (SP)
|
100% |
3184
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
13721
163.0 IPS |
|
|
Face Detection (Q)
|
100% |
12778
151.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5952
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
50915
392.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
53287
416.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22766
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
119834
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
115797
149.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4516
166.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24992
922.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26863
991.9 IPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3870
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3846
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3178
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2685
46.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2651
45.8 IPS |
