MacBook Air (2022)
Geekbench AI Score
3198
Single Precision Score
28011
Half Precision Score
30876
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 12:01 PM |
| Views | 10 |
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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1253
233.0 IPS |
|
|
Image Classification (HP)
|
100% |
14942
2.78 KIPS |
|
|
Image Classification (Q)
|
97% |
15645
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19492
316.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23324
378.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5420
6.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
105498
123.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
99529
116.7 IPS |
|
|
Object Detection (SP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (HP)
|
99% |
16001
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
18318
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
2846
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
34809
413.6 IPS |
|
|
Face Detection (Q)
|
100% |
44593
529.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4620
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
85691
660.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
112718
881.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16110
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
202714
260.6 IPS |
|
|
Style Transfer (Q)
|
96% |
189939
245.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3488
128.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43046
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51218
1.89 KIPS |
|
|
Text Classification (SP)
|
99% |
3983
5.32 KIPS |
|
|
Text Classification (HP)
|
100% |
6120
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6139
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3049
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3798
65.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3944
68.2 IPS |
