MacBook Air (2022)
Geekbench AI Score
3409
Single Precision Score
27041
Half Precision Score
30137
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 12:34 PM |
| Views | 2 |
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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1279
237.8 IPS |
|
|
Image Classification (HP)
|
100% |
12761
2.37 KIPS |
|
|
Image Classification (Q)
|
97% |
14262
2.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19573
317.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23281
377.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6062
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
83456
97.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
106275
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (HP)
|
99% |
15630
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
16994
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
2956
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
34747
412.9 IPS |
|
|
Face Detection (Q)
|
100% |
38194
453.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5272
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
86114
663.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
110137
861.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17451
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
193113
248.2 IPS |
|
|
Style Transfer (Q)
|
96% |
188518
243.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3682
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43474
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48941
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
4011
5.35 KIPS |
|
|
Text Classification (HP)
|
100% |
6415
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6399
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3506
60.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3982
68.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4151
71.7 IPS |
