MacBook Air (2022)
Geekbench AI Score
3420
Single Precision Score
28151
Half Precision Score
31393
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 22 2026 08:33 PM |
| 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1285
239.0 IPS |
|
|
Image Classification (HP)
|
100% |
14218
2.64 KIPS |
|
|
Image Classification (Q)
|
97% |
15644
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19586
317.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24726
400.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6121
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
105992
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
103959
121.8 IPS |
|
|
Object Detection (SP)
|
100% |
1405
111.4 IPS |
|
|
Object Detection (HP)
|
99% |
15751
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17065
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
2979
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
34997
415.8 IPS |
|
|
Face Detection (Q)
|
100% |
47273
561.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5238
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
87632
675.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
112636
881.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17360
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203893
262.1 IPS |
|
|
Style Transfer (Q)
|
96% |
189827
245.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3604
133.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42211
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49949
1.84 KIPS |
|
|
Text Classification (SP)
|
99% |
4084
5.45 KIPS |
|
|
Text Classification (HP)
|
99% |
6336
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6395
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3518
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4021
69.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4197
72.5 IPS |
