MacBook Air (2022)
Geekbench AI Score
3311
Single Precision Score
6010
Half Precision Score
4862
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | nartowick |
| Upload Date | January 27 2026 12:33 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1299
241.5 IPS |
|
|
Image Classification (HP)
|
100% |
2501
465.2 IPS |
|
|
Image Classification (Q)
|
96% |
1731
323.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1425
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2733
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6318
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
15022
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12809
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1429
113.3 IPS |
|
|
Object Detection (HP)
|
97% |
2809
223.7 IPS |
|
|
Object Detection (Q)
|
94% |
2036
162.3 IPS |
|
|
Face Detection (SP)
|
100% |
3103
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6005
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3472
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5450
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10971
84.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7691
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18070
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28124
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23334
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3698
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5022
185.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3704
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2321
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3858
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3844
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3618
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6840
118.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6749
116.6 IPS |
