MacBook Air (2022)
Geekbench AI Score
3321
Single Precision Score
28059
Half Precision Score
30865
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 10:24 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5207k) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1268
235.8 IPS |
|
|
Image Classification (HP)
|
100% |
14300
2.66 KIPS |
|
|
Image Classification (Q)
|
97% |
16080
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1352
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19353
313.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24212
392.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6077
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
107268
125.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
103648
121.5 IPS |
|
|
Object Detection (SP)
|
100% |
1372
108.9 IPS |
|
|
Object Detection (HP)
|
99% |
15401
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
16331
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
2897
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
34800
413.5 IPS |
|
|
Face Detection (Q)
|
100% |
47176
560.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5059
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
88766
683.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
111808
874.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17192
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
205963
264.8 IPS |
|
|
Style Transfer (Q)
|
96% |
193064
249.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3254
120.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43002
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46421
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
4101
5.47 KIPS |
|
|
Text Classification (HP)
|
99% |
6155
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6141
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3402
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3930
67.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4102
70.9 IPS |
