MacBook Air (2022)
Geekbench AI Score
3329
Single Precision Score
27976
Half Precision Score
31213
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 01:22 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 | 3.36 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1272
236.6 IPS |
|
|
Image Classification (HP)
|
100% |
13889
2.58 KIPS |
|
|
Image Classification (Q)
|
97% |
15473
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19519
316.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
22954
372.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5822
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
103590
120.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104271
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1318
104.5 IPS |
|
|
Object Detection (HP)
|
99% |
16081
1.28 KIPS |
|
|
Object Detection (Q)
|
89% |
18108
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
2893
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
34982
415.7 IPS |
|
|
Face Detection (Q)
|
100% |
46878
557.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5022
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
86399
665.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
111792
874.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17295
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204277
262.6 IPS |
|
|
Style Transfer (Q)
|
96% |
194123
250.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3589
132.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42200
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50263
1.86 KIPS |
|
|
Text Classification (SP)
|
99% |
4002
5.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6290
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6205
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3431
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3968
68.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4126
71.3 IPS |
