MacBook Air (2022)
Geekbench AI Score
3297
Single Precision Score
27320
Half Precision Score
30168
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 04:40 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 | 3.35 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1265
235.2 IPS |
|
|
Image Classification (HP)
|
100% |
13960
2.60 KIPS |
|
|
Image Classification (Q)
|
97% |
15410
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19042
308.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24049
389.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6015
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
99141
115.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
99330
116.4 IPS |
|
|
Object Detection (SP)
|
100% |
1331
105.5 IPS |
|
|
Object Detection (HP)
|
99% |
15518
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
17073
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
2725
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
34577
410.8 IPS |
|
|
Face Detection (Q)
|
100% |
46114
547.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5056
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
83318
641.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
105047
821.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16951
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
202295
260.1 IPS |
|
|
Style Transfer (Q)
|
96% |
187757
242.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3589
132.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41791
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47547
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
4008
5.35 KIPS |
|
|
Text Classification (HP)
|
100% |
6115
8.16 KIPS |
|
|
Text Classification (Q)
|
92% |
5948
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3271
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3804
65.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3863
66.8 IPS |
