MacBook Air (2022)
Geekbench AI Score
3008
Single Precision Score
5721
Half Precision Score
4683
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 08:30 PM |
| Views | 5 |
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 | 870 MHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
872
162.2 IPS |
|
|
Image Classification (HP)
|
100% |
2248
418.0 IPS |
|
|
Image Classification (Q)
|
96% |
1547
288.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1124
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2023
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2408
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5169
6.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
11488
13.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11880
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1309
103.8 IPS |
|
|
Object Detection (HP)
|
97% |
2632
209.5 IPS |
|
|
Object Detection (Q)
|
94% |
1895
151.1 IPS |
|
|
Face Detection (SP)
|
100% |
2774
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
5431
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
2990
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4943
38.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9983
77.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7130
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15827
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27550
35.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21688
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3398
125.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4998
184.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3619
133.6 IPS |
|
|
Text Classification (SP)
|
100% |
4219
5.63 KIPS |
|
|
Text Classification (HP)
|
99% |
6089
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6238
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2943
50.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6018
104.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5801
100.2 IPS |
