MacBook Air (2022)
Geekbench AI Score
2094
Single Precision Score
3905
Half Precision Score
4323
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:34 PM |
| Views | 9 |
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 | 3.22 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
792
147.3 IPS |
|
|
Image Classification (HP)
|
100% |
1748
325.0 IPS |
|
|
Image Classification (Q)
|
96% |
1595
297.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1200
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1807
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4739
5.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
8126
9.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
9685
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
866
68.7 IPS |
|
|
Object Detection (HP)
|
97% |
1853
147.5 IPS |
|
|
Object Detection (Q)
|
94% |
1887
150.4 IPS |
|
|
Face Detection (SP)
|
100% |
2502
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
3861
45.9 IPS |
|
|
Face Detection (Q)
|
100% |
2912
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3087
23.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
7927
61.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7150
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10085
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18606
23.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22363
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
962
35.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3434
126.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3468
128.0 IPS |
|
|
Text Classification (SP)
|
99% |
1946
2.60 KIPS |
|
|
Text Classification (HP)
|
99% |
2302
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5136
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2854
49.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4331
74.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5227
90.3 IPS |
