MacBook Air (2022)
Geekbench AI Score
6395
Single Precision Score
7175
Half Precision Score
6733
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | sunjw8888 |
| Upload Date | October 10 2025 08:11 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3307
614.9 IPS |
|
|
Image Classification (HP)
|
100% |
3204
595.9 IPS |
|
|
Image Classification (Q)
|
96% |
2970
554.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4878
79.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4956
80.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4742
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19961
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
22040
25.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
21377
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
3188
252.9 IPS |
|
|
Object Detection (HP)
|
100% |
3142
249.2 IPS |
|
|
Object Detection (Q)
|
92% |
2960
236.3 IPS |
|
|
Face Detection (SP)
|
100% |
9389
111.6 IPS |
|
|
Face Detection (HP)
|
100% |
10538
125.2 IPS |
|
|
Face Detection (Q)
|
100% |
8738
103.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13803
106.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15239
117.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
13994
109.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36443
46.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40759
52.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39563
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7923
292.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8481
313.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7295
269.4 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3897
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3947
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1522
26.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1543
26.7 IPS |
