MacBook Pro (13-inch, 2022)
Geekbench AI Score
6375
Single Precision Score
7009
Half Precision Score
6551
Quantized Score
Geekbench AI 1.6.0 Corporate for macOS AArch64
Result Information
| Upload Date | December 02 2025 05:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3684
685.1 IPS |
|
|
Image Classification (HP)
|
100% |
3651
679.0 IPS |
|
|
Image Classification (Q)
|
97% |
2978
555.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4063
65.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5020
81.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5158
83.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24433
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26329
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24454
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3302
261.9 IPS |
|
|
Object Detection (HP)
|
100% |
3211
254.7 IPS |
|
|
Object Detection (Q)
|
91% |
3081
246.2 IPS |
|
|
Face Detection (SP)
|
100% |
9767
116.1 IPS |
|
|
Face Detection (HP)
|
100% |
10069
119.6 IPS |
|
|
Face Detection (Q)
|
100% |
8403
99.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16666
128.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17741
136.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
14766
115.4 IPS |
|
|
Style Transfer (SP)
|
100% |
41977
54.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48558
62.4 IPS |
|
|
Style Transfer (Q)
|
96% |
45442
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9837
363.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10133
374.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7991
295.1 IPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3782
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3757
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
589
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (Q)
|
98% |
744
12.8 IPS |
