MacBook Air (2022)
Geekbench AI Score
3432
Single Precision Score
6040
Half Precision Score
4892
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | lumelendez |
| Upload Date | July 07 2025 05:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1375
255.7 IPS |
|
|
Image Classification (HP)
|
100% |
2536
471.7 IPS |
|
|
Image Classification (Q)
|
96% |
1772
330.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1483
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2429
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2821
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6807
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
15263
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12908
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1531
121.4 IPS |
|
|
Object Detection (HP)
|
97% |
2792
222.3 IPS |
|
|
Object Detection (Q)
|
94% |
2055
163.8 IPS |
|
|
Face Detection (SP)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5914
70.3 IPS |
|
|
Face Detection (Q)
|
100% |
3450
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5520
42.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10997
85.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7739
60.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18532
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28896
37.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23908
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3955
146.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5093
188.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3725
137.5 IPS |
|
|
Text Classification (SP)
|
100% |
2338
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4001
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3868
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3716
64.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6434
111.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6440
111.3 IPS |
