MacBook Air (2022)
Geekbench AI Score
3330
Single Precision Score
6149
Half Precision Score
4973
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 10:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.31 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% |
2357
438.3 IPS |
|
|
Image Classification (Q)
|
96% |
1673
312.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1305
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2411
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2731
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5895
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
15002
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12953
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1367
108.4 IPS |
|
|
Object Detection (HP)
|
97% |
2739
218.0 IPS |
|
|
Object Detection (Q)
|
94% |
1972
157.2 IPS |
|
|
Face Detection (SP)
|
100% |
2914
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
5739
68.2 IPS |
|
|
Face Detection (Q)
|
100% |
3311
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5189
40.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10664
82.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7427
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17307
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28934
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23866
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3628
134.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4983
184.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3665
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
4018
5.36 KIPS |
|
|
Text Classification (HP)
|
100% |
6035
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
6037
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3426
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6217
107.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6110
105.6 IPS |
