MacBook Air (2022)
Geekbench AI Score
3351
Single Precision Score
6082
Half Precision Score
4908
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 11:02 AM |
| Views | 6 |
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 | 3.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1270
236.2 IPS |
|
|
Image Classification (HP)
|
100% |
2352
437.4 IPS |
|
|
Image Classification (Q)
|
96% |
1727
322.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2708
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6012
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14019
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11918
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1351
107.2 IPS |
|
|
Object Detection (HP)
|
97% |
2651
211.0 IPS |
|
|
Object Detection (Q)
|
94% |
1933
154.1 IPS |
|
|
Face Detection (SP)
|
100% |
2859
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
5749
68.3 IPS |
|
|
Face Detection (Q)
|
100% |
3390
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5136
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10721
82.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7631
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17015
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29064
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24072
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3651
134.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5062
186.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3142
116.0 IPS |
|
|
Text Classification (SP)
|
99% |
4072
5.44 KIPS |
|
|
Text Classification (HP)
|
99% |
6357
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6448
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3403
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5775
99.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5968
103.1 IPS |
