Mac Studio (2023)
Geekbench AI Score
4153
Single Precision Score
6805
Half Precision Score
5334
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Ayham |
| Upload Date | November 13 2024 08:20 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
2285
424.9 IPS |
|
|
Image Classification (Q)
|
96% |
1659
309.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2675
43.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3007
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12436
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
24543
28.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
20140
23.6 IPS |
|
|
Object Detection (SP)
|
100% |
1722
136.6 IPS |
|
|
Object Detection (HP)
|
97% |
2793
222.4 IPS |
|
|
Object Detection (Q)
|
94% |
2009
160.1 IPS |
|
|
Face Detection (SP)
|
100% |
3632
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
6053
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3463
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6138
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11949
92.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7998
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25628
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39387
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30327
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5132
189.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7010
258.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4425
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3975
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3908
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4438
76.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6410
110.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6370
110.1 IPS |
