MacBook Air (2022)
Geekbench AI Score
3288
Single Precision Score
6016
Half Precision Score
4876
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | sunjw8888 |
| Upload Date | October 10 2025 08:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Air (2022) |
| Model ID | Mac14,2 |
| Motherboard | Mac14,2 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1280
238.1 IPS |
|
|
Image Classification (HP)
|
100% |
2497
464.4 IPS |
|
|
Image Classification (Q)
|
96% |
1733
323.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1422
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2734
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6314
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
15050
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12808
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (HP)
|
97% |
2815
224.1 IPS |
|
|
Object Detection (Q)
|
94% |
2041
162.7 IPS |
|
|
Face Detection (SP)
|
100% |
3031
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5995
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3472
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5355
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10918
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7686
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18090
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28200
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23465
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3712
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5025
185.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3705
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2320
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3931
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3908
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3621
62.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6796
117.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6766
116.9 IPS |
