MacBook Air (2022)
Geekbench AI Score
3341
Single Precision Score
27817
Half Precision Score
31251
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 08:37 AM |
| Views | 11 |
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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1265
235.3 IPS |
|
|
Image Classification (HP)
|
100% |
14134
2.63 KIPS |
|
|
Image Classification (Q)
|
97% |
15443
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19274
312.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24404
395.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6022
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
104623
122.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105074
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1357
107.6 IPS |
|
|
Object Detection (HP)
|
99% |
15757
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17831
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
2857
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
34744
412.8 IPS |
|
|
Face Detection (Q)
|
100% |
46811
556.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5133
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
86877
669.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
110790
866.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17117
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
200574
257.8 IPS |
|
|
Style Transfer (Q)
|
96% |
191830
247.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3619
133.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42069
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50146
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
4046
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
6285
8.39 KIPS |
|
|
Text Classification (Q)
|
92% |
6252
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3349
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3860
66.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4035
69.7 IPS |
