MacBook Air (2022)
Geekbench AI Score
3220
Single Precision Score
5630
Half Precision Score
5006
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 02:25 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5207k) |
| 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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
814
151.4 IPS |
|
|
Image Classification (HP)
|
100% |
2452
456.0 IPS |
|
|
Image Classification (Q)
|
96% |
1707
318.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2358
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2733
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6024
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14810
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12721
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1358
107.7 IPS |
|
|
Object Detection (HP)
|
97% |
1086
86.5 IPS |
|
|
Object Detection (Q)
|
94% |
2005
159.8 IPS |
|
|
Face Detection (SP)
|
100% |
2946
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
5716
67.9 IPS |
|
|
Face Detection (Q)
|
100% |
3359
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5201
40.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10745
83.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7629
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17367
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28595
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23815
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3590
132.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5001
184.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3628
134.0 IPS |
|
|
Text Classification (SP)
|
99% |
3965
5.29 KIPS |
|
|
Text Classification (HP)
|
99% |
6229
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5929
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3449
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6300
108.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6337
109.5 IPS |
