MacBook Air (2022)
Geekbench AI Score
3334
Single Precision Score
27643
Half Precision Score
30435
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 03:24 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 | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1260
234.3 IPS |
|
|
Image Classification (HP)
|
100% |
13617
2.53 KIPS |
|
|
Image Classification (Q)
|
97% |
15727
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18375
297.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23507
381.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6041
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
99366
115.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
98872
115.9 IPS |
|
|
Object Detection (SP)
|
100% |
1368
108.5 IPS |
|
|
Object Detection (HP)
|
99% |
15977
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
17790
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2887
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
34814
413.7 IPS |
|
|
Face Detection (Q)
|
100% |
44855
533.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5195
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87167
671.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
105285
823.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17188
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
200731
258.0 IPS |
|
|
Style Transfer (Q)
|
96% |
184542
238.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3580
132.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41404
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47559
1.76 KIPS |
|
|
Text Classification (SP)
|
99% |
4077
5.44 KIPS |
|
|
Text Classification (HP)
|
100% |
6571
8.77 KIPS |
|
|
Text Classification (Q)
|
93% |
6252
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3340
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3958
68.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4048
69.9 IPS |
