MacBook Air (2022)
Geekbench AI Score
2637
Single Precision Score
4675
Half Precision Score
4125
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:40 AM |
| 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 | 3.33 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1232
229.1 IPS |
|
|
Image Classification (HP)
|
100% |
2428
451.5 IPS |
|
|
Image Classification (Q)
|
96% |
1697
316.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1196
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2191
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2646
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4290
5.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
13271
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
7365
8.63 IPS |
|
|
Object Detection (SP)
|
100% |
733
58.2 IPS |
|
|
Object Detection (HP)
|
97% |
1402
111.6 IPS |
|
|
Object Detection (Q)
|
94% |
1535
122.4 IPS |
|
|
Face Detection (SP)
|
100% |
1900
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
2456
29.2 IPS |
|
|
Face Detection (Q)
|
100% |
2366
28.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3863
29.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4636
35.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
4638
36.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13263
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28823
37.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23592
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3045
112.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3937
145.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2740
101.2 IPS |
|
|
Text Classification (SP)
|
99% |
3918
5.23 KIPS |
|
|
Text Classification (HP)
|
99% |
6462
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6325
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3024
52.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6040
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6273
108.4 IPS |
