MacBook Air (2022)
Geekbench AI Score
3137
Single Precision Score
6046
Half Precision Score
4213
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 10:41 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1177
218.8 IPS |
|
|
Image Classification (HP)
|
100% |
2444
454.5 IPS |
|
|
Image Classification (Q)
|
96% |
1700
317.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1183
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2626
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5951
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
13329
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12712
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1333
105.7 IPS |
|
|
Object Detection (HP)
|
97% |
2741
218.2 IPS |
|
|
Object Detection (Q)
|
94% |
1998
159.3 IPS |
|
|
Face Detection (SP)
|
100% |
2916
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
5721
68.0 IPS |
|
|
Face Detection (Q)
|
100% |
3384
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5061
39.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10703
82.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7638
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14932
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28642
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23770
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3560
131.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4939
182.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3307
122.1 IPS |
|
|
Text Classification (SP)
|
100% |
4012
5.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6396
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
3596
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2656
45.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6154
106.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2130
36.8 IPS |
