MacBook Air (2022)
Geekbench AI Score
3191
Single Precision Score
27603
Half Precision Score
30486
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 10:47 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1174
218.4 IPS |
|
|
Image Classification (HP)
|
100% |
14027
2.61 KIPS |
|
|
Image Classification (Q)
|
97% |
15325
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19006
308.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23685
383.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5810
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
105540
123.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105746
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
1293
102.6 IPS |
|
|
Object Detection (HP)
|
99% |
15549
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17761
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2707
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
33917
403.0 IPS |
|
|
Face Detection (Q)
|
100% |
45197
537.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4977
38.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86954
669.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
110604
865.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16128
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
204515
262.9 IPS |
|
|
Style Transfer (Q)
|
96% |
192926
249.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3494
129.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42374
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50003
1.85 KIPS |
|
|
Text Classification (SP)
|
99% |
4044
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
6330
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6064
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3149
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3629
62.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3479
60.1 IPS |
