MacBook Air (2022)
Geekbench AI Score
3318
Single Precision Score
6036
Half Precision Score
4907
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | January 18 2026 12:14 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1305
242.8 IPS |
|
|
Image Classification (HP)
|
100% |
2540
472.4 IPS |
|
|
Image Classification (Q)
|
96% |
1765
329.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1462
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2770
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6228
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
15072
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12972
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1418
112.5 IPS |
|
|
Object Detection (HP)
|
97% |
2817
224.2 IPS |
|
|
Object Detection (Q)
|
94% |
2041
162.7 IPS |
|
|
Face Detection (SP)
|
100% |
3069
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6015
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
3498
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5471
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11023
85.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7674
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18067
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28197
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23435
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3709
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4987
184.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3714
137.2 IPS |
|
|
Text Classification (SP)
|
100% |
2351
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3888
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3915
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3636
62.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6829
118.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6846
118.3 IPS |
