MacBook Air (2022)
Geekbench AI Score
3449
Single Precision Score
6011
Half Precision Score
4874
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 10 2025 05:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1400
260.3 IPS |
|
|
Image Classification (HP)
|
100% |
2525
469.6 IPS |
|
|
Image Classification (Q)
|
96% |
1767
329.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2500
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2810
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6818
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
15290
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13114
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
97% |
2749
218.8 IPS |
|
|
Object Detection (Q)
|
94% |
2017
160.8 IPS |
|
|
Face Detection (SP)
|
100% |
3080
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
5958
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
3457
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5627
43.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11023
85.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7749
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18603
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28978
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23990
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3972
146.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5022
185.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3719
137.3 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3764
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3740
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3708
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6454
111.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6446
111.4 IPS |
