Mac Studio (2023)
Geekbench AI Score
4598
Single Precision Score
7183
Half Precision Score
5538
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | dipak |
| Upload Date | December 04 2024 12:11 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1459
271.4 IPS |
|
|
Image Classification (HP)
|
100% |
2263
420.8 IPS |
|
|
Image Classification (Q)
|
96% |
1643
306.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2493
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3007
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18662
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30678
35.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
22789
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
1857
147.3 IPS |
|
|
Object Detection (HP)
|
97% |
2887
229.9 IPS |
|
|
Object Detection (Q)
|
94% |
2047
163.2 IPS |
|
|
Face Detection (SP)
|
100% |
3755
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
6443
76.6 IPS |
|
|
Face Detection (Q)
|
100% |
3483
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6505
50.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12432
96.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8099
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27400
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41859
53.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32106
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6031
222.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8145
300.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4972
183.6 IPS |
|
|
Text Classification (SP)
|
100% |
2344
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4022
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4004
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4993
86.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6671
115.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6538
113.0 IPS |
