MacBook Air (2022)
Geekbench AI Score
3432
Single Precision Score
27728
Half Precision Score
31116
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 22 2026 08:29 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% |
1285
238.9 IPS |
|
|
Image Classification (HP)
|
100% |
13998
2.60 KIPS |
|
|
Image Classification (Q)
|
97% |
15867
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19622
318.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24305
394.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6105
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
102945
120.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
104857
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (HP)
|
99% |
15457
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
17448
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3009
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
34762
413.0 IPS |
|
|
Face Detection (Q)
|
100% |
46930
557.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5306
40.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
86977
670.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
109980
860.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17664
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
203821
262.0 IPS |
|
|
Style Transfer (Q)
|
96% |
190929
246.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3612
133.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39614
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46878
1.73 KIPS |
|
|
Text Classification (SP)
|
99% |
4018
5.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6264
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6209
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3591
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4021
69.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4205
72.7 IPS |
