MacBook Air (2022)
Geekbench AI Score
3423
Single Precision Score
6019
Half Precision Score
4904
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | rafaeldelrey |
| Upload Date | August 15 2025 10:58 PM |
| Views | 27 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
1383
257.2 IPS |
|
|
Image Classification (HP)
|
100% |
2528
470.1 IPS |
|
|
Image Classification (Q)
|
96% |
1762
329.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1476
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2794
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6813
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
15105
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12855
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1524
120.8 IPS |
|
|
Object Detection (HP)
|
97% |
2790
222.1 IPS |
|
|
Object Detection (Q)
|
94% |
2041
162.7 IPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5737
68.2 IPS |
|
|
Face Detection (Q)
|
100% |
3463
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5527
42.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11063
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7748
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18578
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28966
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23942
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3934
145.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5104
188.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3726
137.6 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4016
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4055
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3678
63.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6461
111.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6429
111.1 IPS |
