MacBook Air (2022)
Geekbench AI Score
3291
Single Precision Score
6200
Half Precision Score
4947
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 22 2026 08:44 PM |
| Views | 7 |
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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1284
238.8 IPS |
|
|
Image Classification (HP)
|
100% |
2476
460.4 IPS |
|
|
Image Classification (Q)
|
96% |
1727
322.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2268
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2546
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6091
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
15046
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12643
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1325
105.1 IPS |
|
|
Object Detection (HP)
|
97% |
2742
218.3 IPS |
|
|
Object Detection (Q)
|
94% |
2011
160.3 IPS |
|
|
Face Detection (SP)
|
100% |
2486
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
5829
69.3 IPS |
|
|
Face Detection (Q)
|
100% |
3406
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5180
39.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10830
83.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7378
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17347
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29233
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23866
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3682
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5065
187.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3640
134.4 IPS |
|
|
Text Classification (SP)
|
99% |
3917
5.23 KIPS |
|
|
Text Classification (HP)
|
99% |
6171
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6248
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3285
56.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6289
108.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5759
99.5 IPS |
