MacBook Air (2022)
Geekbench AI Score
3480
Single Precision Score
5984
Half Precision Score
4842
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tamyururu |
| Upload Date | March 16 2025 06:50 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1403
260.9 IPS |
|
|
Image Classification (HP)
|
100% |
2521
468.8 IPS |
|
|
Image Classification (Q)
|
96% |
1764
329.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1547
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2488
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2870
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6873
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14885
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12785
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.4 IPS |
|
|
Object Detection (HP)
|
97% |
2878
229.1 IPS |
|
|
Object Detection (Q)
|
94% |
2089
166.5 IPS |
|
|
Face Detection (SP)
|
100% |
3134
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6130
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
3488
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5703
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11658
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8025
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18681
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28415
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23774
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4060
149.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4875
180.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3594
132.7 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3804
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3775
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3610
62.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5820
100.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5813
100.5 IPS |
