MacBook Air (2022)
Geekbench AI Score
2333
Single Precision Score
4242
Half Precision Score
3837
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:37 AM |
| Views | 7 |
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 | 2.12 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
367
68.2 IPS |
|
|
Image Classification (HP)
|
100% |
590
109.8 IPS |
|
|
Image Classification (Q)
|
96% |
1164
217.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1174
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1590
25.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1785
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4515
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
14050
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
8483
9.94 IPS |
|
|
Object Detection (SP)
|
100% |
1136
90.1 IPS |
|
|
Object Detection (HP)
|
97% |
1674
133.3 IPS |
|
|
Object Detection (Q)
|
94% |
1812
144.4 IPS |
|
|
Face Detection (SP)
|
100% |
1124
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
3432
40.8 IPS |
|
|
Face Detection (Q)
|
100% |
2933
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3582
27.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8754
67.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
4649
36.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13693
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19935
25.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12261
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3337
123.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4016
148.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3675
135.7 IPS |
|
|
Text Classification (SP)
|
99% |
4062
5.42 KIPS |
|
|
Text Classification (HP)
|
99% |
6242
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6178
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2901
50.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5696
98.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5706
98.6 IPS |
