MacBook Air (2022)
Geekbench AI Score
3355
Single Precision Score
27682
Half Precision Score
30628
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 10:09 PM |
| Views | 13 |
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 | 3.34 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1266
235.4 IPS |
|
|
Image Classification (HP)
|
100% |
14194
2.64 KIPS |
|
|
Image Classification (Q)
|
97% |
15413
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1378
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19583
317.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
22612
366.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5978
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
106037
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
106109
124.4 IPS |
|
|
Object Detection (SP)
|
100% |
1367
108.5 IPS |
|
|
Object Detection (HP)
|
99% |
15807
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
17726
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2930
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
34228
406.7 IPS |
|
|
Face Detection (Q)
|
100% |
46715
555.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5215
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
83859
646.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
111591
872.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17372
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
204497
262.9 IPS |
|
|
Style Transfer (Q)
|
96% |
193384
249.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3571
131.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41644
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48617
1.80 KIPS |
|
|
Text Classification (SP)
|
99% |
4130
5.51 KIPS |
|
|
Text Classification (HP)
|
99% |
6166
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6073
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3247
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3763
64.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3724
64.4 IPS |
