MacBook Air (2022)
Geekbench AI Score
3306
Single Precision Score
26640
Half Precision Score
29200
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 27 2026 12:28 AM |
| Views | 7 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1295
240.9 IPS |
|
|
Image Classification (HP)
|
100% |
15059
2.80 KIPS |
|
|
Image Classification (Q)
|
96% |
15372
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19520
316.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24014
389.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6324
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
103377
120.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105560
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
99% |
15804
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17372
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3044
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
33821
401.9 IPS |
|
|
Face Detection (Q)
|
100% |
43604
518.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5408
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87856
676.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
108445
847.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18059
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
205007
263.5 IPS |
|
|
Style Transfer (Q)
|
96% |
190861
246.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3747
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37478
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43142
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
2335
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3859
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3841
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3625
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4256
73.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4452
76.9 IPS |
