MacBook Air (2022)
Geekbench AI Score
3274
Single Precision Score
27341
Half Precision Score
30641
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 06:24 AM |
| Views | 10 |
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 | 3.35 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1203
223.7 IPS |
|
|
Image Classification (HP)
|
100% |
13551
2.52 KIPS |
|
|
Image Classification (Q)
|
97% |
15465
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1359
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18375
297.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
22851
370.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5932
6.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
105191
122.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105844
124.1 IPS |
|
|
Object Detection (SP)
|
100% |
1357
107.7 IPS |
|
|
Object Detection (HP)
|
99% |
15859
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
17364
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
2823
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
33817
401.8 IPS |
|
|
Face Detection (Q)
|
100% |
45859
544.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5006
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
86525
666.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
111681
873.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16420
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
202912
260.8 IPS |
|
|
Style Transfer (Q)
|
96% |
193536
249.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3561
131.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41544
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46747
1.73 KIPS |
|
|
Text Classification (SP)
|
99% |
3962
5.29 KIPS |
|
|
Text Classification (HP)
|
99% |
6021
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
6065
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3286
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3785
65.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3998
69.1 IPS |
