MacBook Air (2022)
Geekbench AI Score
3208
Single Precision Score
5975
Half Precision Score
4917
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 02:05 PM |
| Views | 9 |
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 | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1234
229.4 IPS |
|
|
Image Classification (HP)
|
100% |
2415
449.1 IPS |
|
|
Image Classification (Q)
|
96% |
1679
313.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1334
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2654
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5624
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
14734
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12769
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1328
105.3 IPS |
|
|
Object Detection (HP)
|
97% |
2482
197.6 IPS |
|
|
Object Detection (Q)
|
94% |
1945
155.1 IPS |
|
|
Face Detection (SP)
|
100% |
2628
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
5554
66.0 IPS |
|
|
Face Detection (Q)
|
100% |
3293
39.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5059
39.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10503
81.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7484
58.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16112
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28531
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23743
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3587
132.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4972
183.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3613
133.4 IPS |
|
|
Text Classification (SP)
|
99% |
4017
5.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6061
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6113
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3051
52.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5817
100.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5783
99.9 IPS |
