MacBook Air (2022)
Geekbench AI Score
3220
Single Precision Score
26884
Half Precision Score
29580
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 28 2026 06:32 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1181
219.6 IPS |
|
|
Image Classification (HP)
|
100% |
14936
2.78 KIPS |
|
|
Image Classification (Q)
|
96% |
15591
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1399
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19529
316.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23746
384.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6039
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
106178
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
106057
124.3 IPS |
|
|
Object Detection (SP)
|
100% |
1399
110.9 IPS |
|
|
Object Detection (HP)
|
99% |
15983
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
17561
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3027
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
34045
404.5 IPS |
|
|
Face Detection (Q)
|
100% |
43825
520.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5352
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87634
675.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
108053
844.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17871
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201376
258.9 IPS |
|
|
Style Transfer (Q)
|
96% |
195867
252.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3727
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41761
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47754
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2267
3.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3908
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3965
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3511
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4064
70.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4236
73.2 IPS |
