MacBook Air (2022)
Geekbench AI Score
3436
Single Precision Score
5997
Half Precision Score
4881
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Tianli |
| Upload Date | May 07 2025 04:26 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1391
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
2528
470.1 IPS |
|
|
Image Classification (Q)
|
96% |
1776
331.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1478
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2403
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2780
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6825
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
15121
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12858
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
97% |
2801
223.0 IPS |
|
|
Object Detection (Q)
|
94% |
2032
161.9 IPS |
|
|
Face Detection (SP)
|
100% |
3060
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
5813
69.1 IPS |
|
|
Face Detection (Q)
|
100% |
3440
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5520
42.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10974
84.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7756
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18576
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28981
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23955
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3939
145.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4984
184.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3693
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3953
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3943
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3718
64.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6430
111.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6403
110.6 IPS |
