MacBook Air (2022)
Geekbench AI Score
3260
Single Precision Score
27672
Half Precision Score
30720
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:05 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1260
234.4 IPS |
|
|
Image Classification (HP)
|
100% |
14251
2.65 KIPS |
|
|
Image Classification (Q)
|
97% |
15080
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19110
309.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23910
387.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5929
6.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
106866
124.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
106477
124.8 IPS |
|
|
Object Detection (SP)
|
100% |
1365
108.2 IPS |
|
|
Object Detection (HP)
|
99% |
15784
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
17811
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
2848
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
34707
412.4 IPS |
|
|
Face Detection (Q)
|
100% |
45995
546.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4888
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
86958
670.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
110998
868.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16517
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
192900
248.0 IPS |
|
|
Style Transfer (Q)
|
96% |
190286
245.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3575
132.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42759
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45531
1.68 KIPS |
|
|
Text Classification (SP)
|
99% |
3909
5.22 KIPS |
|
|
Text Classification (HP)
|
100% |
6140
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6145
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3167
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3750
64.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4028
69.6 IPS |
