MacBook Air (2022)
Geekbench AI Score
2456
Single Precision Score
23724
Half Precision Score
27109
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:17 PM |
| Views | 7 |
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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1187
220.8 IPS |
|
|
Image Classification (HP)
|
100% |
12138
2.26 KIPS |
|
|
Image Classification (Q)
|
97% |
13799
2.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
912
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19038
308.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23615
382.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3887
4.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
85133
99.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102960
120.7 IPS |
|
|
Object Detection (SP)
|
100% |
1190
94.4 IPS |
|
|
Object Detection (HP)
|
99% |
15497
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
17588
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2479
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
24732
293.9 IPS |
|
|
Face Detection (Q)
|
100% |
33551
398.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3578
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
82679
637.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
86799
679.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11366
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
195246
251.0 IPS |
|
|
Style Transfer (Q)
|
96% |
151994
196.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2335
86.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33132
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37777
1.39 KIPS |
|
|
Text Classification (SP)
|
99% |
2423
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4966
6.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5808
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2803
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2821
48.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3741
64.6 IPS |
