Mac Studio (2023)
Geekbench AI Score
4559
Single Precision Score
26414
Half Precision Score
26836
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | non |
| Upload Date | November 17 2024 12:57 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,14 |
| Motherboard | Mac14,14 |
| CPU Information | |
|---|---|
| Name | Apple M2 Ultra |
| Topology | 1 Processor, 24 Cores |
| Identifier | Apple M2 Ultra |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1453
270.3 IPS |
|
|
Image Classification (HP)
|
100% |
13558
2.52 KIPS |
|
|
Image Classification (Q)
|
96% |
6344
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19517
316.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23994
389.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18155
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
104903
122.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
103133
120.9 IPS |
|
|
Object Detection (SP)
|
100% |
1845
146.4 IPS |
|
|
Object Detection (HP)
|
99% |
15437
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17041
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3836
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
35070
416.7 IPS |
|
|
Face Detection (Q)
|
100% |
44934
533.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6559
50.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
86667
667.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
107163
837.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26996
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
201046
258.4 IPS |
|
|
Style Transfer (Q)
|
96% |
190985
246.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5980
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40372
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48464
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2252
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3916
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3886
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4903
84.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3994
68.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4181
72.2 IPS |
