MacBook Air (2022)
Geekbench AI Score
3313
Single Precision Score
6049
Half Precision Score
4889
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | matta |
| Upload Date | October 27 2025 02:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5062e) |
| 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 | 3.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1287
239.3 IPS |
|
|
Image Classification (HP)
|
100% |
2482
461.7 IPS |
|
|
Image Classification (Q)
|
96% |
1725
322.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2735
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6294
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
15125
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13069
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1408
111.7 IPS |
|
|
Object Detection (HP)
|
97% |
2780
221.4 IPS |
|
|
Object Detection (Q)
|
94% |
2036
162.3 IPS |
|
|
Face Detection (SP)
|
100% |
3103
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6031
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3501
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5500
42.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10955
84.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7736
60.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18158
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28411
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23465
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3807
140.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5124
189.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3741
138.1 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3907
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3867
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3591
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6877
118.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6760
116.8 IPS |
