MacBook Air (2022)
Geekbench AI Score
3330
Single Precision Score
27814
Half Precision Score
31124
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 10:18 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1260
234.3 IPS |
|
|
Image Classification (HP)
|
100% |
14036
2.61 KIPS |
|
|
Image Classification (Q)
|
97% |
15673
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1377
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19251
312.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23632
383.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5799
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
105013
122.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105098
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1313
104.1 IPS |
|
|
Object Detection (HP)
|
99% |
15781
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
18097
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
2931
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
34846
414.1 IPS |
|
|
Face Detection (Q)
|
100% |
46671
554.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5164
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
86948
669.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
112551
880.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17477
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
205361
264.0 IPS |
|
|
Style Transfer (Q)
|
96% |
193012
249.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3555
131.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41839
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50489
1.86 KIPS |
|
|
Text Classification (SP)
|
99% |
4003
5.34 KIPS |
|
|
Text Classification (HP)
|
100% |
6155
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6078
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3376
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3863
66.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3892
67.3 IPS |
