MacBook Air (2022)
Geekbench AI Score
3291
Single Precision Score
27786
Half Precision Score
30471
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 06:15 AM |
| Views | 5 |
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 | 3.47 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% |
14306
2.66 KIPS |
|
|
Image Classification (Q)
|
97% |
15442
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1377
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19334
313.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23761
385.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5932
6.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
103802
121.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
102391
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1360
107.8 IPS |
|
|
Object Detection (HP)
|
99% |
15862
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
18181
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
2616
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
33204
394.5 IPS |
|
|
Face Detection (Q)
|
100% |
46602
553.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5192
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
83519
643.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
101926
797.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15393
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204860
263.3 IPS |
|
|
Style Transfer (Q)
|
96% |
193009
249.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3618
133.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42641
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44691
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
4061
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
6434
8.59 KIPS |
|
|
Text Classification (Q)
|
92% |
6273
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3418
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3865
66.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3931
67.9 IPS |
