MacBook Air (2022)
Geekbench AI Score
2809
Single Precision Score
24663
Half Precision Score
26810
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:41 PM |
| Views | 8 |
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 | 2.55 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
851
158.2 IPS |
|
|
Image Classification (HP)
|
100% |
13144
2.44 KIPS |
|
|
Image Classification (Q)
|
97% |
15235
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13569
220.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16842
273.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5666
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
99404
116.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
106082
124.3 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
99% |
12421
988.0 IPS |
|
|
Object Detection (Q)
|
89% |
17797
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2825
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
31471
373.9 IPS |
|
|
Face Detection (Q)
|
100% |
46665
554.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5164
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
86651
667.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
110113
861.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12036
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
168188
216.2 IPS |
|
|
Style Transfer (Q)
|
96% |
140939
181.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3392
125.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35670
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36177
1.34 KIPS |
|
|
Text Classification (SP)
|
99% |
3936
5.25 KIPS |
|
|
Text Classification (HP)
|
99% |
6431
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6320
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3100
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3595
61.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2392
41.3 IPS |
