MacBook Air (2022)
Geekbench AI Score
3354
Single Precision Score
6164
Half Precision Score
5018
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 10:22 AM |
| Views | 11 |
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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1263
235.0 IPS |
|
|
Image Classification (HP)
|
100% |
2442
454.1 IPS |
|
|
Image Classification (Q)
|
96% |
1704
318.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1377
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2701
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6005
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14790
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12844
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1357
107.6 IPS |
|
|
Object Detection (HP)
|
97% |
2749
218.9 IPS |
|
|
Object Detection (Q)
|
94% |
2005
159.8 IPS |
|
|
Face Detection (SP)
|
100% |
2926
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
5721
68.0 IPS |
|
|
Face Detection (Q)
|
100% |
3388
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5172
39.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10709
82.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7633
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17189
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28768
37.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23824
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3589
132.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4962
183.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3643
134.5 IPS |
|
|
Text Classification (SP)
|
99% |
4013
5.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6178
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6154
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3402
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6277
108.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6186
106.9 IPS |
