MacBook Air (2022)
Geekbench AI Score
3218
Single Precision Score
6122
Half Precision Score
4859
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 02:36 PM |
| 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 | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1204
224.0 IPS |
|
|
Image Classification (HP)
|
100% |
2438
453.4 IPS |
|
|
Image Classification (Q)
|
96% |
1707
318.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1348
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2681
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5962
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
14727
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12710
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1245
98.7 IPS |
|
|
Object Detection (HP)
|
97% |
2569
204.5 IPS |
|
|
Object Detection (Q)
|
94% |
1971
157.1 IPS |
|
|
Face Detection (SP)
|
100% |
2823
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
5597
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3334
39.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5091
39.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10569
81.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7554
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17092
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28768
37.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23916
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3652
134.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5067
187.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3565
131.6 IPS |
|
|
Text Classification (SP)
|
99% |
3856
5.15 KIPS |
|
|
Text Classification (HP)
|
99% |
6591
8.80 KIPS |
|
|
Text Classification (Q)
|
93% |
6301
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2861
49.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6003
103.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4738
81.9 IPS |
