MacBook Air (2022)
Geekbench AI Score
3284
Single Precision Score
6074
Half Precision Score
4818
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:48 PM |
| Views | 11 |
| Notes | 1 |
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 | 3.37 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1226
228.0 IPS |
|
|
Image Classification (HP)
|
100% |
2423
450.6 IPS |
|
|
Image Classification (Q)
|
96% |
1679
313.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1323
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2293
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1888
30.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5646
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
13901
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12634
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1331
105.5 IPS |
|
|
Object Detection (HP)
|
97% |
2768
220.4 IPS |
|
|
Object Detection (Q)
|
94% |
1984
158.1 IPS |
|
|
Face Detection (SP)
|
100% |
2851
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
5625
66.8 IPS |
|
|
Face Detection (Q)
|
100% |
3353
39.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5093
39.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10620
82.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7539
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17079
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28771
37.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23876
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3598
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4971
183.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3644
134.6 IPS |
|
|
Text Classification (SP)
|
99% |
4060
5.42 KIPS |
|
|
Text Classification (HP)
|
99% |
6371
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6371
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3310
57.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5875
101.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6060
104.7 IPS |
