MacBook Air (2022)
Geekbench AI Score
6275
Single Precision Score
6969
Half Precision Score
6663
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 10:20 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3000
557.9 IPS |
|
|
Image Classification (HP)
|
100% |
2876
534.8 IPS |
|
|
Image Classification (Q)
|
94% |
2804
524.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4463
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4545
73.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4389
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18106
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20225
23.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
19682
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
2696
213.8 IPS |
|
|
Object Detection (HP)
|
100% |
2661
211.1 IPS |
|
|
Object Detection (Q)
|
91% |
2883
230.4 IPS |
|
|
Face Detection (SP)
|
100% |
7990
94.9 IPS |
|
|
Face Detection (HP)
|
100% |
9146
108.7 IPS |
|
|
Face Detection (Q)
|
100% |
8390
99.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11931
91.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13356
102.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
12598
98.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33682
43.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37864
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
36717
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7290
269.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7564
279.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6968
257.3 IPS |
|
|
Text Classification (SP)
|
99% |
4137
5.52 KIPS |
|
|
Text Classification (HP)
|
99% |
6224
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6145
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1496
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1764
30.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1488
25.7 IPS |
