Mac Studio (2023)
Geekbench AI Score
4536
Single Precision Score
7039
Half Precision Score
5502
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bubeli |
| Upload Date | November 25 2024 05:52 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 3.47 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1438
267.4 IPS |
|
|
Image Classification (HP)
|
100% |
2236
415.9 IPS |
|
|
Image Classification (Q)
|
96% |
1616
301.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1779
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2472
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3001
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19102
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
31324
36.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
23039
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
1837
145.7 IPS |
|
|
Object Detection (HP)
|
97% |
2865
228.1 IPS |
|
|
Object Detection (Q)
|
94% |
2028
161.7 IPS |
|
|
Face Detection (SP)
|
100% |
3735
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
5918
70.3 IPS |
|
|
Face Detection (Q)
|
100% |
3471
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6333
48.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11658
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7881
61.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27169
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41970
54.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32436
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5757
212.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8040
296.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4942
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
2263
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
4008
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3992
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4911
84.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6456
111.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6420
110.9 IPS |
