MacBook Air (2022)
Geekbench AI Score
3325
Single Precision Score
6002
Half Precision Score
4984
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 10:50 PM |
| Views | 6 |
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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1266
235.4 IPS |
|
|
Image Classification (HP)
|
100% |
2458
457.2 IPS |
|
|
Image Classification (Q)
|
96% |
1687
315.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2653
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6139
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
14997
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12757
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1376
109.2 IPS |
|
|
Object Detection (HP)
|
97% |
2699
214.9 IPS |
|
|
Object Detection (Q)
|
94% |
2033
162.0 IPS |
|
|
Face Detection (SP)
|
100% |
2911
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
5444
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3373
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5134
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10536
81.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7543
59.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17116
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28736
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23829
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3615
133.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4932
182.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3640
134.4 IPS |
|
|
Text Classification (SP)
|
100% |
3998
5.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6099
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6239
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3243
55.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5569
96.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5926
102.4 IPS |
