MacBook Air (2022)
Geekbench AI Score
3319
Single Precision Score
6050
Half Precision Score
4928
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | by2me |
| Upload Date | March 15 2026 01:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1302
242.2 IPS |
|
|
Image Classification (HP)
|
100% |
2533
471.0 IPS |
|
|
Image Classification (Q)
|
96% |
1772
330.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1456
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2812
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6328
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
15194
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13063
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1415
112.2 IPS |
|
|
Object Detection (HP)
|
97% |
2804
223.2 IPS |
|
|
Object Detection (Q)
|
94% |
2044
162.9 IPS |
|
|
Face Detection (SP)
|
100% |
3035
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
6027
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3491
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5368
41.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10997
85.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7782
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18133
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28594
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23600
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3820
141.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5025
185.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3759
138.8 IPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3944
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3910
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3604
62.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6746
116.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6741
116.5 IPS |
