MacBook Air (2022)
Geekbench AI Score
3296
Single Precision Score
6036
Half Precision Score
4872
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Zodios |
| Upload Date | February 02 2026 07:41 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
1290
239.9 IPS |
|
|
Image Classification (HP)
|
100% |
2502
465.3 IPS |
|
|
Image Classification (Q)
|
96% |
1717
320.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2379
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2743
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6333
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
15191
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12896
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1418
112.5 IPS |
|
|
Object Detection (HP)
|
97% |
2818
224.4 IPS |
|
|
Object Detection (Q)
|
94% |
2037
162.3 IPS |
|
|
Face Detection (SP)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
6027
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3476
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5385
41.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10951
84.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7689
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18128
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28225
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23491
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3709
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5181
191.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3705
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3863
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3860
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3589
61.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6768
116.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6784
117.2 IPS |
