MacBook Air (2022)
Geekbench AI Score
3251
Single Precision Score
5896
Half Precision Score
4853
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 03:59 PM |
| Views | 10 |
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% |
1152
214.2 IPS |
|
|
Image Classification (HP)
|
100% |
2315
430.6 IPS |
|
|
Image Classification (Q)
|
96% |
1631
304.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1260
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2357
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2697
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5636
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
12602
14.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
10945
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1305
103.5 IPS |
|
|
Object Detection (HP)
|
97% |
2580
205.4 IPS |
|
|
Object Detection (Q)
|
94% |
1988
158.5 IPS |
|
|
Face Detection (SP)
|
100% |
2881
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
4943
58.7 IPS |
|
|
Face Detection (Q)
|
100% |
3041
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5055
38.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10608
82.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7693
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17414
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27782
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22622
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3520
130.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5072
187.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3664
135.3 IPS |
|
|
Text Classification (SP)
|
99% |
4030
5.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6163
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6218
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3436
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6291
108.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6283
108.6 IPS |
