MacBook Air (2022)
Geekbench AI Score
3249
Single Precision Score
6020
Half Precision Score
5068
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 11:04 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.22 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1257
233.8 IPS |
|
|
Image Classification (HP)
|
100% |
2419
449.8 IPS |
|
|
Image Classification (Q)
|
96% |
1656
309.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1189
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2711
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5980
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
13298
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12740
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
97% |
2766
220.2 IPS |
|
|
Object Detection (Q)
|
94% |
2021
161.1 IPS |
|
|
Face Detection (SP)
|
100% |
2794
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
5758
68.4 IPS |
|
|
Face Detection (Q)
|
100% |
3411
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5055
38.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10773
83.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7694
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16691
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29262
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24207
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3483
128.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4955
183.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3708
136.9 IPS |
|
|
Text Classification (SP)
|
100% |
4091
5.46 KIPS |
|
|
Text Classification (HP)
|
100% |
6365
8.50 KIPS |
|
|
Text Classification (Q)
|
92% |
6548
8.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3247
55.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5877
101.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6279
108.5 IPS |
