MacBook Air (2022)
Geekbench AI Score
3311
Single Precision Score
6088
Half Precision Score
5005
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 09:52 PM |
| 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 | 3.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1239
230.4 IPS |
|
|
Image Classification (HP)
|
100% |
2460
457.6 IPS |
|
|
Image Classification (Q)
|
96% |
1727
322.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2374
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2700
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5977
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
14839
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12897
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1356
107.5 IPS |
|
|
Object Detection (HP)
|
97% |
2744
218.5 IPS |
|
|
Object Detection (Q)
|
94% |
1991
158.7 IPS |
|
|
Face Detection (SP)
|
100% |
2843
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
5538
65.8 IPS |
|
|
Face Detection (Q)
|
100% |
3296
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5164
39.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10796
83.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7529
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16711
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27585
35.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24061
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3622
133.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4606
170.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3546
130.9 IPS |
|
|
Text Classification (SP)
|
99% |
4046
5.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6185
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6185
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3425
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6269
108.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6299
108.9 IPS |
