MacBook Air (2022)
Geekbench AI Score
3306
Single Precision Score
6086
Half Precision Score
4985
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 08:24 PM |
| Views | 5 |
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 | 3.29 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1246
231.7 IPS |
|
|
Image Classification (HP)
|
100% |
2401
446.5 IPS |
|
|
Image Classification (Q)
|
96% |
1670
311.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2282
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2687
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5978
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
14760
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12758
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1331
105.6 IPS |
|
|
Object Detection (HP)
|
97% |
2728
217.2 IPS |
|
|
Object Detection (Q)
|
94% |
1989
158.6 IPS |
|
|
Face Detection (SP)
|
100% |
2871
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
5636
67.0 IPS |
|
|
Face Detection (Q)
|
100% |
3344
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5111
39.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10599
81.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7555
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17147
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28749
37.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23804
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3617
133.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4979
183.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3641
134.4 IPS |
|
|
Text Classification (SP)
|
99% |
4023
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
6077
8.11 KIPS |
|
|
Text Classification (Q)
|
92% |
6233
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3317
57.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6088
105.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6107
105.5 IPS |
