MacBook Air (2022)
Geekbench AI Score
3255
Single Precision Score
5946
Half Precision Score
4848
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 07 2025 03:26 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5057f) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1279
237.8 IPS |
|
|
Image Classification (HP)
|
100% |
2458
457.1 IPS |
|
|
Image Classification (Q)
|
96% |
1716
320.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2721
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6223
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
15025
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12905
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1395
110.7 IPS |
|
|
Object Detection (HP)
|
97% |
2784
221.6 IPS |
|
|
Object Detection (Q)
|
94% |
2017
160.8 IPS |
|
|
Face Detection (SP)
|
100% |
2960
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5936
70.5 IPS |
|
|
Face Detection (Q)
|
100% |
3451
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5381
41.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10812
83.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7582
59.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17700
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28050
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23407
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3745
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5000
184.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3709
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3745
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3738
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3566
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6743
116.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6957
120.2 IPS |
