MacBook Air (2022)
Geekbench AI Score
3345
Single Precision Score
27625
Half Precision Score
30645
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 22 2026 08:51 PM |
| Views | 7 |
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 | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1151
214.1 IPS |
|
|
Image Classification (HP)
|
100% |
13255
2.47 KIPS |
|
|
Image Classification (Q)
|
97% |
14845
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19377
314.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24258
393.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6095
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
106037
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
106104
124.4 IPS |
|
|
Object Detection (SP)
|
100% |
1399
111.0 IPS |
|
|
Object Detection (HP)
|
99% |
15615
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17100
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
2858
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
34815
413.7 IPS |
|
|
Face Detection (Q)
|
100% |
45547
541.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5272
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
86689
667.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
110870
867.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17592
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
204136
262.4 IPS |
|
|
Style Transfer (Q)
|
96% |
187617
242.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3633
134.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39844
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42368
1.56 KIPS |
|
|
Text Classification (SP)
|
99% |
3955
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6125
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6630
8.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3571
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4048
69.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4201
72.6 IPS |
