MacBook Air (2022)
Geekbench AI Score
3178
Single Precision Score
27418
Half Precision Score
30723
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:07 AM |
| Views | 11 |
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% |
1223
227.5 IPS |
|
|
Image Classification (HP)
|
100% |
13655
2.54 KIPS |
|
|
Image Classification (Q)
|
97% |
15183
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18409
298.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
22902
371.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5288
6.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
103574
120.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
102195
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1260
100.0 IPS |
|
|
Object Detection (HP)
|
99% |
15777
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
17601
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2790
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
34455
409.4 IPS |
|
|
Face Detection (Q)
|
100% |
45873
545.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5047
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
86080
663.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
110663
865.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16965
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
201956
259.6 IPS |
|
|
Style Transfer (Q)
|
96% |
191199
246.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3578
132.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42080
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50974
1.88 KIPS |
|
|
Text Classification (SP)
|
99% |
4088
5.46 KIPS |
|
|
Text Classification (HP)
|
100% |
6398
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6235
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3217
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3625
62.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3884
67.1 IPS |
