MacBook Air (2022)
Geekbench AI Score
3340
Single Precision Score
5893
Half Precision Score
5157
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dilawar599 |
| Upload Date | August 21 2025 05:10 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5346a) |
| 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 | 3.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1315
244.5 IPS |
|
|
Image Classification (HP)
|
100% |
2379
442.3 IPS |
|
|
Image Classification (Q)
|
99% |
2400
447.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1391
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2318
37.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
2316
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6566
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
14851
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
12704
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1483
117.6 IPS |
|
|
Object Detection (HP)
|
97% |
2708
215.6 IPS |
|
|
Object Detection (Q)
|
94% |
1982
158.0 IPS |
|
|
Face Detection (SP)
|
100% |
2929
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
5744
68.3 IPS |
|
|
Face Detection (Q)
|
100% |
3369
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5497
42.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10636
82.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
10611
82.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18216
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28478
36.6 IPS |
|
|
Style Transfer (Q)
|
100% |
28583
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3973
146.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5025
185.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3614
133.9 IPS |
|
|
Text Classification (SP)
|
100% |
2252
3.01 KIPS |
|
|
Text Classification (HP)
|
99% |
3844
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3811
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3706
63.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6778
117.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6761
116.8 IPS |
