MacBook Air (2022)
Geekbench AI Score
3340
Single Precision Score
6160
Half Precision Score
4991
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 12:52 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 | 3.26 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1233
229.2 IPS |
|
|
Image Classification (HP)
|
100% |
2367
440.2 IPS |
|
|
Image Classification (Q)
|
96% |
1681
313.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2364
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2707
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5956
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
14826
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12751
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1366
108.4 IPS |
|
|
Object Detection (HP)
|
97% |
2756
219.4 IPS |
|
|
Object Detection (Q)
|
94% |
1984
158.1 IPS |
|
|
Face Detection (SP)
|
100% |
2922
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
5787
68.8 IPS |
|
|
Face Detection (Q)
|
100% |
3319
39.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5228
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10777
83.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7531
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17243
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28712
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23940
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3615
133.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4975
183.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3648
134.7 IPS |
|
|
Text Classification (SP)
|
99% |
4022
5.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6078
8.11 KIPS |
|
|
Text Classification (Q)
|
92% |
6120
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3450
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6359
109.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6249
108.0 IPS |
