MacBook Air (2022)
Geekbench AI Score
3062
Single Precision Score
27575
Half Precision Score
30031
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 03:32 PM |
| Views | 12 |
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 | 3.31 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1244
231.3 IPS |
|
|
Image Classification (HP)
|
100% |
14237
2.65 KIPS |
|
|
Image Classification (Q)
|
97% |
15839
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1354
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19273
312.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24148
391.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5999
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
99173
115.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
106422
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
1353
107.3 IPS |
|
|
Object Detection (HP)
|
99% |
15826
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
15850
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
2907
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
34667
411.9 IPS |
|
|
Face Detection (Q)
|
100% |
44058
523.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5164
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
88691
683.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
110897
867.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17215
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
187877
241.5 IPS |
|
|
Style Transfer (Q)
|
96% |
158871
205.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3661
135.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41469
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47273
1.75 KIPS |
|
|
Text Classification (SP)
|
99% |
4081
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
6297
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6259
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1377
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3914
67.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4027
69.6 IPS |
