MacBook Air (2022)
Geekbench AI Score
3277
Single Precision Score
5995
Half Precision Score
4873
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 26 2025 02:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1277
237.5 IPS |
|
|
Image Classification (HP)
|
100% |
2466
458.5 IPS |
|
|
Image Classification (Q)
|
96% |
1723
321.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1425
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2741
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6284
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
15031
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12931
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1409
111.8 IPS |
|
|
Object Detection (HP)
|
97% |
2822
224.6 IPS |
|
|
Object Detection (Q)
|
94% |
2034
162.1 IPS |
|
|
Face Detection (SP)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5893
70.0 IPS |
|
|
Face Detection (Q)
|
100% |
3470
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5328
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10913
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7686
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17904
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28236
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23358
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3709
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4996
184.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3709
136.9 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3927
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3865
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3611
62.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6792
117.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6808
117.6 IPS |
