Mac Studio
Geekbench AI Score
3974
Single Precision Score
15304
Half Precision Score
15226
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | December 20 2024 09:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.17 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1319
245.3 IPS |
|
|
Image Classification (HP)
|
100% |
5906
1.10 KIPS |
|
|
Image Classification (Q)
|
96% |
6005
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9151
148.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10024
162.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15917
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
70894
82.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66684
78.2 IPS |
|
|
Object Detection (SP)
|
100% |
1634
129.6 IPS |
|
|
Object Detection (HP)
|
99% |
7384
587.4 IPS |
|
|
Object Detection (Q)
|
91% |
6712
536.3 IPS |
|
|
Face Detection (SP)
|
100% |
3451
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
14508
172.4 IPS |
|
|
Face Detection (Q)
|
100% |
13223
157.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5793
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
50237
387.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
51084
399.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23512
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
118875
152.8 IPS |
|
|
Style Transfer (Q)
|
96% |
114844
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4667
172.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24852
917.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26902
993.4 IPS |
|
|
Text Classification (SP)
|
100% |
2242
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3832
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3857
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3602
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3020
52.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3089
53.4 IPS |
