MacBook Air (2022)
Geekbench AI Score
1764
Single Precision Score
3244
Half Precision Score
2432
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 02:10 PM |
| Views | 12 |
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 | 3.32 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1222
227.3 IPS |
|
|
Image Classification (HP)
|
100% |
2369
440.6 IPS |
|
|
Image Classification (Q)
|
96% |
1663
310.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1868
30.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
416
6.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
719
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1949
2.27 IPS |
|
|
Pose Estimation (Q)
|
95% |
1785
2.09 IPS |
|
|
Object Detection (SP)
|
100% |
569
45.2 IPS |
|
|
Object Detection (HP)
|
97% |
1505
119.8 IPS |
|
|
Object Detection (Q)
|
94% |
1648
131.4 IPS |
|
|
Face Detection (SP)
|
100% |
2416
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
3188
37.9 IPS |
|
|
Face Detection (Q)
|
100% |
1791
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2802
21.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5621
43.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
4700
36.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6493
8.35 IPS |
|
|
Style Transfer (HP)
|
100% |
11854
15.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12105
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2315
85.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3721
137.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2050
75.7 IPS |
|
|
Text Classification (SP)
|
99% |
3288
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
4618
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4933
6.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1344
23.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2727
47.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3464
59.9 IPS |
