MacBook Air (2022)
Geekbench AI Score
3266
Single Precision Score
27331
Half Precision Score
30274
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 06:11 AM |
| Views | 5 |
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 | 3.36 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1269
236.0 IPS |
|
|
Image Classification (HP)
|
100% |
13811
2.57 KIPS |
|
|
Image Classification (Q)
|
97% |
15913
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1189
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19286
312.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24448
396.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6053
7.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
104564
122.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
98817
115.8 IPS |
|
|
Object Detection (SP)
|
100% |
1270
100.7 IPS |
|
|
Object Detection (HP)
|
99% |
15727
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17758
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2921
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
33133
393.7 IPS |
|
|
Face Detection (Q)
|
100% |
44753
531.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5186
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87816
676.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
104065
814.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17326
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
205055
263.6 IPS |
|
|
Style Transfer (Q)
|
96% |
180790
233.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3593
132.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41601
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45254
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
3780
5.05 KIPS |
|
|
Text Classification (HP)
|
100% |
6545
8.74 KIPS |
|
|
Text Classification (Q)
|
92% |
6406
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3347
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3269
56.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3881
67.1 IPS |
