MacBook Air (2022)
Geekbench AI Score
3312
Single Precision Score
6046
Half Precision Score
4897
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | carlossilva91 |
| Upload Date | November 20 2025 06:51 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1309
243.4 IPS |
|
|
Image Classification (HP)
|
100% |
2539
472.2 IPS |
|
|
Image Classification (Q)
|
96% |
1768
330.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2781
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6301
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
14982
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12804
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
97% |
2810
223.7 IPS |
|
|
Object Detection (Q)
|
94% |
2042
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
3086
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6012
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3489
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5337
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10955
84.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7693
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18081
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28147
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23380
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3720
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4988
184.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3714
137.1 IPS |
|
|
Text Classification (SP)
|
100% |
2349
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4071
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
3916
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3619
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6766
116.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6765
116.9 IPS |
