MacBook Air (2022)
Geekbench AI Score
3298
Single Precision Score
26101
Half Precision Score
28665
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | March 22 2026 10:47 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (a) (Build 25D771280a) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1295
240.8 IPS |
|
|
Image Classification (HP)
|
100% |
14483
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
16051
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19817
321.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24151
391.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6303
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
106099
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
106796
125.2 IPS |
|
|
Object Detection (SP)
|
100% |
1421
112.7 IPS |
|
|
Object Detection (HP)
|
99% |
15786
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
16967
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
34207
406.5 IPS |
|
|
Face Detection (Q)
|
100% |
43802
520.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5351
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
86968
670.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
107048
836.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18044
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
205013
263.5 IPS |
|
|
Style Transfer (Q)
|
96% |
195857
252.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3722
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38889
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43851
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4011
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3930
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3611
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3210
55.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3370
58.2 IPS |
