MacBook Air (2022)
Geekbench AI Score
2483
Single Precision Score
21385
Half Precision Score
20536
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 02:51 PM |
| Views | 14 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1253
233.1 IPS |
|
|
Image Classification (HP)
|
100% |
13940
2.59 KIPS |
|
|
Image Classification (Q)
|
97% |
14905
2.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
938
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13116
212.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
15442
250.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3771
4.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
96821
113.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104537
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
794
63.0 IPS |
|
|
Object Detection (HP)
|
99% |
10697
850.9 IPS |
|
|
Object Detection (Q)
|
89% |
15365
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
2461
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
23167
275.3 IPS |
|
|
Face Detection (Q)
|
100% |
34335
408.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4345
33.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
73603
567.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
87129
681.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12635
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
157319
202.2 IPS |
|
|
Style Transfer (Q)
|
96% |
170268
219.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3422
126.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34341
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41251
1.52 KIPS |
|
|
Text Classification (SP)
|
99% |
3823
5.10 KIPS |
|
|
Text Classification (HP)
|
99% |
4394
5.86 KIPS |
|
|
Text Classification (Q)
|
93% |
639
857.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1435
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2610
45.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2688
46.4 IPS |
