MacBook Air (2022)
Geekbench AI Score
3319
Single Precision Score
6051
Half Precision Score
4919
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | LeanderAI |
| Upload Date | November 29 2025 03:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1310
243.6 IPS |
|
|
Image Classification (HP)
|
100% |
2533
471.0 IPS |
|
|
Image Classification (Q)
|
96% |
1773
331.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1456
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2417
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2803
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6271
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
15086
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12833
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1407
111.6 IPS |
|
|
Object Detection (HP)
|
97% |
2819
224.4 IPS |
|
|
Object Detection (Q)
|
94% |
2059
164.1 IPS |
|
|
Face Detection (SP)
|
100% |
3061
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6064
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3522
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5447
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10982
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7755
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18086
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28184
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23556
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3751
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5066
187.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3747
138.4 IPS |
|
|
Text Classification (SP)
|
100% |
2369
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
3910
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3898
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3597
62.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6807
117.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6733
116.4 IPS |
