MacBook Air (2022)
Geekbench AI Score
3299
Single Precision Score
25849
Half Precision Score
28859
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Horizontal42 |
| Upload Date | March 22 2025 03:15 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1314
244.4 IPS |
|
|
Image Classification (HP)
|
100% |
13936
2.59 KIPS |
|
|
Image Classification (Q)
|
96% |
15481
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18918
306.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23169
375.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6602
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
106002
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105839
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
1434
113.7 IPS |
|
|
Object Detection (HP)
|
99% |
15426
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17550
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2942
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
32001
380.2 IPS |
|
|
Face Detection (Q)
|
100% |
39932
474.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5440
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
85525
658.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
107921
843.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17924
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
196905
253.1 IPS |
|
|
Style Transfer (Q)
|
96% |
188940
243.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3982
147.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40412
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50763
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2250
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3755
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3715
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3362
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3778
65.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3918
67.7 IPS |
