MacBook Pro (14-inch, 2023)
Geekbench AI Score
12975
Single Precision Score
14489
Half Precision Score
12773
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Wadsworth |
| Upload Date | February 27 2025 01:08 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,5 |
| Motherboard | Mac14,5 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6518
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
6596
1.23 KIPS |
|
|
Image Classification (Q)
|
97% |
5757
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10882
176.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10623
172.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10487
170.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
61945
72.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
64941
75.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
60058
70.4 IPS |
|
|
Object Detection (SP)
|
100% |
5814
461.1 IPS |
|
|
Object Detection (HP)
|
100% |
6395
507.2 IPS |
|
|
Object Detection (Q)
|
91% |
5667
452.8 IPS |
|
|
Face Detection (SP)
|
100% |
24211
287.7 IPS |
|
|
Face Detection (HP)
|
100% |
24542
291.6 IPS |
|
|
Face Detection (Q)
|
100% |
18569
220.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
28987
223.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
29306
225.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
25370
198.3 IPS |
|
|
Style Transfer (SP)
|
100% |
114714
147.5 IPS |
|
|
Style Transfer (HP)
|
100% |
127882
164.4 IPS |
|
|
Style Transfer (Q)
|
96% |
120228
155.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20187
745.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21017
776.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16799
620.3 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4012
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4003
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1420
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1807
31.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1477
25.5 IPS |
