MacBook Air (2022)
Geekbench AI Score
3190
Single Precision Score
5840
Half Precision Score
4822
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | December 20 2025 12:20 PM |
| 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 | 3.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1270
236.1 IPS |
|
|
Image Classification (HP)
|
100% |
2441
453.9 IPS |
|
|
Image Classification (Q)
|
96% |
1695
316.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1338
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2701
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6155
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
14904
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12903
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1359
107.8 IPS |
|
|
Object Detection (HP)
|
97% |
2747
218.7 IPS |
|
|
Object Detection (Q)
|
94% |
2006
159.9 IPS |
|
|
Face Detection (SP)
|
100% |
2773
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
5531
65.7 IPS |
|
|
Face Detection (Q)
|
100% |
3274
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5306
40.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10827
83.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7461
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17272
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23232
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23441
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3734
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5067
187.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3720
137.4 IPS |
|
|
Text Classification (SP)
|
100% |
2351
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3949
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3923
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3448
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7014
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6873
118.8 IPS |
