MacBook Air (2022)
Geekbench AI Score
6468
Single Precision Score
7359
Half Precision Score
6725
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | cadillacthewolf |
| Upload Date | May 24 2025 01:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3393
631.0 IPS |
|
|
Image Classification (HP)
|
100% |
3247
603.8 IPS |
|
|
Image Classification (Q)
|
96% |
3008
561.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4900
79.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4902
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4705
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
19934
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
22027
25.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
21332
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
3222
255.6 IPS |
|
|
Object Detection (HP)
|
100% |
3347
265.5 IPS |
|
|
Object Detection (Q)
|
92% |
2921
233.2 IPS |
|
|
Face Detection (SP)
|
100% |
9358
111.2 IPS |
|
|
Face Detection (HP)
|
100% |
10503
124.8 IPS |
|
|
Face Detection (Q)
|
100% |
8726
103.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13819
106.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15216
117.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
14511
113.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36170
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40790
52.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39632
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8248
304.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9191
339.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7304
269.7 IPS |
|
|
Text Classification (SP)
|
100% |
2225
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3811
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3795
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1399
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1739
30.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1544
26.7 IPS |
