MacBook Air (2022)
Geekbench AI Score
3310
Single Precision Score
6021
Half Precision Score
4954
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 10:05 PM |
| Views | 7 |
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% |
1209
224.8 IPS |
|
|
Image Classification (HP)
|
100% |
2391
444.7 IPS |
|
|
Image Classification (Q)
|
96% |
1665
310.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2700
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5885
6.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
14869
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12775
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1366
108.3 IPS |
|
|
Object Detection (HP)
|
97% |
2702
215.1 IPS |
|
|
Object Detection (Q)
|
94% |
2009
160.1 IPS |
|
|
Face Detection (SP)
|
100% |
2891
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
5379
63.9 IPS |
|
|
Face Detection (Q)
|
100% |
3198
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5129
39.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10004
77.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7579
59.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16113
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27951
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22319
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3581
132.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5027
185.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3633
134.2 IPS |
|
|
Text Classification (SP)
|
100% |
4042
5.39 KIPS |
|
|
Text Classification (HP)
|
100% |
6170
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6374
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3418
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5953
102.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6166
106.6 IPS |
