MacBook Air (2022)
Geekbench AI Score
3306
Single Precision Score
6050
Half Precision Score
4896
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | korokoroomusubi |
| Upload Date | March 08 2026 10:47 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1305
242.7 IPS |
|
|
Image Classification (HP)
|
100% |
2526
469.8 IPS |
|
|
Image Classification (Q)
|
96% |
1764
329.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2765
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6320
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
15050
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12867
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
97% |
2807
223.4 IPS |
|
|
Object Detection (Q)
|
94% |
2035
162.2 IPS |
|
|
Face Detection (SP)
|
100% |
3008
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5981
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3474
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5366
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10981
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7702
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18065
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28191
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23454
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3730
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5129
189.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3708
136.9 IPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3893
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3921
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3618
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6937
119.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6795
117.4 IPS |
