MacBook Air (2022)
Geekbench AI Score
3333
Single Precision Score
6162
Half Precision Score
4941
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 23 2026 06:31 PM |
| Views | 4 |
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% |
1252
232.8 IPS |
|
|
Image Classification (HP)
|
100% |
2469
459.2 IPS |
|
|
Image Classification (Q)
|
96% |
1693
316.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2341
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2686
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6028
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14797
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12774
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1350
107.1 IPS |
|
|
Object Detection (HP)
|
97% |
2748
218.7 IPS |
|
|
Object Detection (Q)
|
94% |
1999
159.4 IPS |
|
|
Face Detection (SP)
|
100% |
2911
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
5722
68.0 IPS |
|
|
Face Detection (Q)
|
100% |
3369
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5151
39.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10642
82.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7620
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17135
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28759
37.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23803
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3600
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4977
183.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3611
133.4 IPS |
|
|
Text Classification (SP)
|
100% |
4133
5.52 KIPS |
|
|
Text Classification (HP)
|
99% |
6303
8.41 KIPS |
|
|
Text Classification (Q)
|
92% |
6059
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3257
56.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6115
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5591
96.6 IPS |
