MacBook Air (2022)
Geekbench AI Score
6858
Single Precision Score
7088
Half Precision Score
6633
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 23 2026 12:50 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2865
532.8 IPS |
|
|
Image Classification (HP)
|
100% |
2842
528.5 IPS |
|
|
Image Classification (Q)
|
94% |
2665
498.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4365
70.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4360
70.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4223
68.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17509
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19660
22.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
19111
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
2706
214.7 IPS |
|
|
Object Detection (HP)
|
100% |
2927
232.2 IPS |
|
|
Object Detection (Q)
|
91% |
2939
234.9 IPS |
|
|
Face Detection (SP)
|
100% |
9058
107.6 IPS |
|
|
Face Detection (HP)
|
100% |
9943
118.1 IPS |
|
|
Face Detection (Q)
|
100% |
9162
108.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12748
98.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14273
110.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
13569
106.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33918
43.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38898
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
37046
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7285
269.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7725
285.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6659
245.9 IPS |
|
|
Text Classification (SP)
|
99% |
3992
5.33 KIPS |
|
|
Text Classification (HP)
|
99% |
6211
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6222
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3411
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1695
29.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1368
23.6 IPS |
