MacBook Air (2022)
Geekbench AI Score
3272
Single Precision Score
25666
Half Precision Score
28692
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 27 2026 12:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1284
238.7 IPS |
|
|
Image Classification (HP)
|
100% |
14323
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
15485
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19671
318.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24156
391.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6306
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
103604
120.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104959
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
1424
113.0 IPS |
|
|
Object Detection (HP)
|
99% |
15862
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17656
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3060
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
34180
406.1 IPS |
|
|
Face Detection (Q)
|
100% |
43505
516.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5418
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
88188
679.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
110108
860.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17941
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
206107
265.0 IPS |
|
|
Style Transfer (Q)
|
96% |
183945
237.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3726
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38362
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46065
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
2326
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3892
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3902
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3636
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2889
49.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3445
59.5 IPS |
