Mac Studio (2023)
Geekbench AI Score
3774
Single Precision Score
6266
Half Precision Score
4871
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | technotim |
| Upload Date | December 18 2024 04:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,13 |
| Motherboard | Mac14,13 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1277
237.5 IPS |
|
|
Image Classification (HP)
|
100% |
2122
394.6 IPS |
|
|
Image Classification (Q)
|
96% |
1544
288.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2409
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2691
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11179
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22591
26.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17619
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
97% |
2545
202.6 IPS |
|
|
Object Detection (Q)
|
94% |
1799
143.4 IPS |
|
|
Face Detection (SP)
|
100% |
3277
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
5608
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
3068
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5702
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11066
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7507
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23238
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36529
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28308
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4675
172.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6567
242.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4166
153.8 IPS |
|
|
Text Classification (SP)
|
100% |
2079
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3727
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3723
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3990
68.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5727
99.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5656
97.7 IPS |
