MacBook Air (2022)
Geekbench AI Score
3406
Single Precision Score
5999
Half Precision Score
4790
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | cadillacthewolf |
| Upload Date | May 24 2025 12:57 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1368
254.5 IPS |
|
|
Image Classification (HP)
|
100% |
2490
463.0 IPS |
|
|
Image Classification (Q)
|
96% |
1730
323.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2442
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2749
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6788
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
15219
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13084
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
97% |
2750
218.9 IPS |
|
|
Object Detection (Q)
|
94% |
1956
155.9 IPS |
|
|
Face Detection (SP)
|
100% |
2977
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5797
68.9 IPS |
|
|
Face Detection (Q)
|
100% |
3468
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5528
42.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10966
84.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7761
60.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18580
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29252
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
20826
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3994
147.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5084
187.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3713
137.1 IPS |
|
|
Text Classification (SP)
|
100% |
2228
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3902
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3890
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3694
63.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6435
111.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6454
111.5 IPS |
