MacBook Air (2022)
Geekbench AI Score
3217
Single Precision Score
27379
Half Precision Score
30675
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 23 2026 03:06 AM |
| Views | 8 |
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 | 3.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1120
208.3 IPS |
|
|
Image Classification (HP)
|
100% |
13119
2.44 KIPS |
|
|
Image Classification (Q)
|
97% |
15442
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1345
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19300
312.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24404
395.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5989
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
106526
124.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105589
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1352
107.3 IPS |
|
|
Object Detection (HP)
|
99% |
15369
1.22 KIPS |
|
|
Object Detection (Q)
|
89% |
17092
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
2903
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
34626
411.4 IPS |
|
|
Face Detection (Q)
|
100% |
45139
536.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5183
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
87515
674.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
103110
806.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16943
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
198747
255.5 IPS |
|
|
Style Transfer (Q)
|
96% |
187069
241.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3133
115.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41009
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49518
1.83 KIPS |
|
|
Text Classification (SP)
|
99% |
4041
5.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6035
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
6301
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3021
52.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3831
66.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3993
69.0 IPS |
