Mac Studio (2023)
Geekbench AI Score
4584
Single Precision Score
7136
Half Precision Score
5563
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | i0ntempest |
| Upload Date | December 02 2024 06:26 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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 | 3.48 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1457
271.0 IPS |
|
|
Image Classification (HP)
|
100% |
2229
414.4 IPS |
|
|
Image Classification (Q)
|
96% |
1624
303.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1783
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2475
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3006
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18240
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
31014
36.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
23397
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
1840
145.9 IPS |
|
|
Object Detection (HP)
|
97% |
2876
229.0 IPS |
|
|
Object Detection (Q)
|
94% |
2041
162.7 IPS |
|
|
Face Detection (SP)
|
100% |
3902
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
6386
75.9 IPS |
|
|
Face Detection (Q)
|
100% |
3563
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6528
50.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12168
94.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8098
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27843
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
42927
55.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32341
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5954
219.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8146
300.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4987
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
2250
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3913
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3898
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4951
85.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6545
113.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6716
116.1 IPS |
