MacBook Air (2022)
Geekbench AI Score
3338
Single Precision Score
27639
Half Precision Score
30997
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 08:31 AM |
| Views | 8 |
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 | 3.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1208
224.7 IPS |
|
|
Image Classification (HP)
|
100% |
12698
2.36 KIPS |
|
|
Image Classification (Q)
|
97% |
14959
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18744
303.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
22547
365.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5990
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
104949
122.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104889
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1355
107.5 IPS |
|
|
Object Detection (HP)
|
99% |
15889
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
18077
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
2890
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
34501
409.9 IPS |
|
|
Face Detection (Q)
|
100% |
46614
553.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5184
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
86948
669.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
110682
865.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17252
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
200002
257.1 IPS |
|
|
Style Transfer (Q)
|
96% |
189478
244.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3629
134.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43003
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50779
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
4114
5.49 KIPS |
|
|
Text Classification (HP)
|
100% |
6516
8.70 KIPS |
|
|
Text Classification (Q)
|
92% |
6298
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3379
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3900
67.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4096
70.8 IPS |
