MacBook Air (2022)
Geekbench AI Score
3348
Single Precision Score
6130
Half Precision Score
4981
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 03:44 PM |
| Views | 8 |
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% |
1276
237.3 IPS |
|
|
Image Classification (HP)
|
100% |
2471
459.5 IPS |
|
|
Image Classification (Q)
|
96% |
1725
322.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2256
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2683
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5962
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
14962
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12551
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1285
101.9 IPS |
|
|
Object Detection (HP)
|
97% |
2588
206.1 IPS |
|
|
Object Detection (Q)
|
94% |
2011
160.3 IPS |
|
|
Face Detection (SP)
|
100% |
2918
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
5477
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
2939
34.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5196
40.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10686
82.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7664
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17391
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29179
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24173
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3664
135.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5117
188.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3711
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
4053
5.41 KIPS |
|
|
Text Classification (HP)
|
100% |
6341
8.46 KIPS |
|
|
Text Classification (Q)
|
92% |
6342
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3413
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6267
108.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6286
108.6 IPS |
