MacBook Air (2022)
Geekbench AI Score
3250
Single Precision Score
26280
Half Precision Score
28159
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 28 2025 11:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1284
238.8 IPS |
|
|
Image Classification (HP)
|
100% |
13982
2.60 KIPS |
|
|
Image Classification (Q)
|
96% |
15370
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1420
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19739
320.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23796
385.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6281
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
105364
122.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105988
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
1420
112.6 IPS |
|
|
Object Detection (HP)
|
99% |
15325
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
16950
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3032
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
33934
403.2 IPS |
|
|
Face Detection (Q)
|
100% |
43211
513.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5385
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
86741
668.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
107780
842.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18049
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203001
261.0 IPS |
|
|
Style Transfer (Q)
|
96% |
195118
251.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3714
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39483
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43053
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
2191
2.92 KIPS |
|
|
Text Classification (HP)
|
99% |
3693
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2856
3.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3376
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4048
69.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4270
73.8 IPS |
