MacBook Air (2022)
Geekbench AI Score
3311
Single Precision Score
6048
Half Precision Score
4903
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | TTV |
| Upload Date | October 31 2025 10:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
1300
241.8 IPS |
|
|
Image Classification (HP)
|
100% |
2531
470.8 IPS |
|
|
Image Classification (Q)
|
96% |
1762
329.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2400
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2790
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6347
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
14998
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12899
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1421
112.7 IPS |
|
|
Object Detection (HP)
|
97% |
2847
226.6 IPS |
|
|
Object Detection (Q)
|
94% |
2062
164.4 IPS |
|
|
Face Detection (SP)
|
100% |
3037
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
6060
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3519
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5373
41.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11029
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7774
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18075
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28598
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23515
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3674
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4975
183.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3739
138.1 IPS |
|
|
Text Classification (SP)
|
100% |
2390
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
3921
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3792
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3617
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6782
117.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6737
116.4 IPS |
