MacBook Air (2022)
Geekbench AI Score
1242
Single Precision Score
14768
Half Precision Score
16022
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 02:19 PM |
| Views | 8 |
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% |
1137
211.4 IPS |
|
|
Image Classification (HP)
|
100% |
12702
2.36 KIPS |
|
|
Image Classification (Q)
|
97% |
15365
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1210
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18846
305.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23420
379.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3921
4.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
61852
72.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
60728
71.2 IPS |
|
|
Object Detection (SP)
|
100% |
928
73.6 IPS |
|
|
Object Detection (HP)
|
99% |
10178
809.7 IPS |
|
|
Object Detection (Q)
|
89% |
8299
664.4 IPS |
|
|
Face Detection (SP)
|
100% |
339
4.03 IPS |
|
|
Face Detection (HP)
|
100% |
9295
110.4 IPS |
|
|
Face Detection (Q)
|
100% |
14131
167.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
735
5.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
24535
189.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
28897
226.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1721
2.21 IPS |
|
|
Style Transfer (HP)
|
100% |
60568
77.9 IPS |
|
|
Style Transfer (Q)
|
96% |
84913
109.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
703
26.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23704
875.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31181
1.15 KIPS |
|
|
Text Classification (SP)
|
99% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
5065
6.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5504
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2475
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1975
34.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1033
17.9 IPS |
