MacBook Air (2022)
Geekbench AI Score
6322
Single Precision Score
6803
Half Precision Score
6495
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 27 2026 12:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3030
563.5 IPS |
|
|
Image Classification (HP)
|
100% |
3099
576.3 IPS |
|
|
Image Classification (Q)
|
94% |
3089
577.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4888
79.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5003
81.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4734
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19397
22.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19471
22.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
20473
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
3086
244.8 IPS |
|
|
Object Detection (HP)
|
100% |
3049
241.9 IPS |
|
|
Object Detection (Q)
|
91% |
3027
241.9 IPS |
|
|
Face Detection (SP)
|
100% |
9402
111.7 IPS |
|
|
Face Detection (HP)
|
100% |
9265
110.1 IPS |
|
|
Face Detection (Q)
|
100% |
8571
101.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11940
92.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12712
97.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
13449
105.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31938
41.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28116
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29886
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5781
213.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7089
261.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6994
258.3 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3759
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3976
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2405
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2616
45.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1540
26.6 IPS |
