MacBook Air (2022)
Geekbench AI Score
3170
Single Precision Score
27911
Half Precision Score
31113
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 23 2026 12:21 PM |
| Views | 6 |
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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1241
230.8 IPS |
|
|
Image Classification (HP)
|
100% |
14942
2.78 KIPS |
|
|
Image Classification (Q)
|
97% |
15720
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1146
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19236
311.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
22870
370.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5831
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
105067
122.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105063
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1285
101.9 IPS |
|
|
Object Detection (HP)
|
99% |
16179
1.29 KIPS |
|
|
Object Detection (Q)
|
89% |
18178
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
2665
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
34293
407.5 IPS |
|
|
Face Detection (Q)
|
100% |
46814
556.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5017
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87185
671.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
112424
879.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16377
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
202515
260.3 IPS |
|
|
Style Transfer (Q)
|
96% |
191232
246.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3524
130.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43125
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51663
1.91 KIPS |
|
|
Text Classification (SP)
|
99% |
3992
5.33 KIPS |
|
|
Text Classification (HP)
|
99% |
6189
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6339
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3124
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3635
62.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3757
64.9 IPS |
