MacBook Air (2022)
Geekbench AI Score
2484
Single Precision Score
21057
Half Precision Score
24298
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:19 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.26 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1201
223.3 IPS |
|
|
Image Classification (HP)
|
100% |
13047
2.43 KIPS |
|
|
Image Classification (Q)
|
97% |
15280
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18102
293.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
22914
371.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5457
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
99270
115.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
97832
114.7 IPS |
|
|
Object Detection (SP)
|
100% |
1035
82.1 IPS |
|
|
Object Detection (HP)
|
99% |
12992
1.03 KIPS |
|
|
Object Detection (Q)
|
89% |
12918
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
1762
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
10744
127.7 IPS |
|
|
Face Detection (Q)
|
100% |
18178
216.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
971
7.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
48083
370.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
68622
536.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14742
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
151758
195.1 IPS |
|
|
Style Transfer (Q)
|
96% |
146439
189.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3596
132.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38817
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41662
1.54 KIPS |
|
|
Text Classification (SP)
|
99% |
4188
5.59 KIPS |
|
|
Text Classification (HP)
|
100% |
6393
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6357
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2712
46.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2892
49.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3352
57.9 IPS |
