MacBook Air (2022)
Geekbench AI Score
3257
Single Precision Score
6124
Half Precision Score
4839
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 10:57 AM |
| Views | 12 |
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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1254
233.3 IPS |
|
|
Image Classification (HP)
|
100% |
2410
448.3 IPS |
|
|
Image Classification (Q)
|
96% |
1672
312.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1247
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2384
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2705
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5817
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
13759
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12731
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1370
108.6 IPS |
|
|
Object Detection (HP)
|
97% |
2652
211.1 IPS |
|
|
Object Detection (Q)
|
94% |
1941
154.7 IPS |
|
|
Face Detection (SP)
|
100% |
2940
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
5781
68.7 IPS |
|
|
Face Detection (Q)
|
100% |
3236
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5174
39.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10783
83.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7279
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17036
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28556
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
19826
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3301
121.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4969
183.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3451
127.4 IPS |
|
|
Text Classification (SP)
|
100% |
4187
5.59 KIPS |
|
|
Text Classification (HP)
|
99% |
6301
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6237
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3017
52.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6354
109.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6267
108.3 IPS |
