MacBook Air (2022)
Geekbench AI Score
2341
Single Precision Score
4821
Half Precision Score
3539
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 10:50 AM |
| Views | 7 |
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 | 2.08 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1018
189.4 IPS |
|
|
Image Classification (HP)
|
100% |
2443
454.3 IPS |
|
|
Image Classification (Q)
|
96% |
535
100.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
371
6.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
570
9.24 IPS |
|
|
Image Segmentation (Q)
|
99% |
1434
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4788
5.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
13572
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9738
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1041
82.6 IPS |
|
|
Object Detection (HP)
|
97% |
2689
214.0 IPS |
|
|
Object Detection (Q)
|
94% |
747
59.5 IPS |
|
|
Face Detection (SP)
|
100% |
2643
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
5709
67.8 IPS |
|
|
Face Detection (Q)
|
100% |
2740
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4805
37.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
6211
48.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7548
59.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12038
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28533
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21306
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3564
131.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4120
152.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3591
132.6 IPS |
|
|
Text Classification (SP)
|
100% |
1652
2.21 KIPS |
|
|
Text Classification (HP)
|
99% |
6194
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6263
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2921
50.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5169
89.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5580
96.4 IPS |
