MacBook Air (2022)
Geekbench AI Score
2313
Single Precision Score
21746
Half Precision Score
24477
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:19 PM |
| Views | 7 |
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 | 3.34 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
616
114.6 IPS |
|
|
Image Classification (HP)
|
100% |
14218
2.64 KIPS |
|
|
Image Classification (Q)
|
97% |
14683
2.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
917
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18908
306.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23655
383.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5552
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
105748
123.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
98096
115.0 IPS |
|
|
Object Detection (SP)
|
100% |
1117
88.6 IPS |
|
|
Object Detection (HP)
|
99% |
14517
1.15 KIPS |
|
|
Object Detection (Q)
|
89% |
12653
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
2470
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
30737
365.2 IPS |
|
|
Face Detection (Q)
|
100% |
41103
488.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4861
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
85746
660.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
64903
507.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12218
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
179861
231.2 IPS |
|
|
Style Transfer (Q)
|
96% |
157464
203.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3354
123.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18988
701.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21635
798.9 IPS |
|
|
Text Classification (SP)
|
99% |
838
1.12 KIPS |
|
|
Text Classification (HP)
|
99% |
2451
3.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5280
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3045
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2598
44.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3732
64.5 IPS |
