Mac Studio
Geekbench AI Score
12214
Single Precision Score
13322
Half Precision Score
12202
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 07:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4963
923.0 IPS |
|
|
Image Classification (HP)
|
100% |
4839
899.9 IPS |
|
|
Image Classification (Q)
|
97% |
4302
802.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
12416
201.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12375
200.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
12598
204.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
82649
96.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
85640
99.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
79216
92.8 IPS |
|
|
Object Detection (SP)
|
100% |
3919
310.9 IPS |
|
|
Object Detection (HP)
|
100% |
4448
352.8 IPS |
|
|
Object Detection (Q)
|
91% |
4548
363.4 IPS |
|
|
Face Detection (SP)
|
100% |
21879
260.0 IPS |
|
|
Face Detection (HP)
|
100% |
24633
292.7 IPS |
|
|
Face Detection (Q)
|
100% |
19015
225.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
28087
216.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
28670
220.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
24141
188.7 IPS |
|
|
Style Transfer (SP)
|
100% |
138441
178.0 IPS |
|
|
Style Transfer (HP)
|
100% |
152165
195.6 IPS |
|
|
Style Transfer (Q)
|
96% |
142189
183.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16489
608.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16788
619.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13416
495.4 IPS |
|
|
Text Classification (SP)
|
100% |
2225
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3853
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3879
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1187
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1111
19.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1104
19.1 IPS |
