MacBook Air (2022)
Geekbench AI Score
3233
Single Precision Score
5796
Half Precision Score
4845
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 11:04 AM |
| Views | 8 |
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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1267
235.7 IPS |
|
|
Image Classification (HP)
|
100% |
2464
458.3 IPS |
|
|
Image Classification (Q)
|
96% |
1725
322.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2366
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2701
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5266
6.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
8216
9.59 IPS |
|
|
Pose Estimation (Q)
|
95% |
9740
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1312
104.0 IPS |
|
|
Object Detection (HP)
|
97% |
2673
212.8 IPS |
|
|
Object Detection (Q)
|
94% |
1827
145.6 IPS |
|
|
Face Detection (SP)
|
100% |
2815
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
5789
68.8 IPS |
|
|
Face Detection (Q)
|
100% |
3391
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5203
40.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10769
83.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7647
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17289
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28877
37.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23946
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3612
133.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5039
186.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3572
131.9 IPS |
|
|
Text Classification (SP)
|
99% |
3968
5.30 KIPS |
|
|
Text Classification (HP)
|
99% |
6052
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6349
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3029
52.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6089
105.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6110
105.6 IPS |
