MacBook Air (2022)
Geekbench AI Score
3368
Single Precision Score
6166
Half Precision Score
5034
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 02:54 PM |
| Views | 11 |
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 | 3.29 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1234
229.5 IPS |
|
|
Image Classification (HP)
|
100% |
2358
438.6 IPS |
|
|
Image Classification (Q)
|
96% |
1668
311.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2362
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2631
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5996
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14813
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12825
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1364
108.2 IPS |
|
|
Object Detection (HP)
|
97% |
2756
219.4 IPS |
|
|
Object Detection (Q)
|
94% |
2017
160.8 IPS |
|
|
Face Detection (SP)
|
100% |
2934
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
5673
67.4 IPS |
|
|
Face Detection (Q)
|
100% |
3422
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5232
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10612
82.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7634
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17421
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28715
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23944
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3602
133.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5032
185.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3643
134.5 IPS |
|
|
Text Classification (SP)
|
99% |
3973
5.30 KIPS |
|
|
Text Classification (HP)
|
100% |
6415
8.56 KIPS |
|
|
Text Classification (Q)
|
92% |
6308
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3504
60.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6261
108.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6413
110.8 IPS |
