MacBook Air (2022)
Geekbench AI Score
2039
Single Precision Score
11689
Half Precision Score
12181
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 11 2024 07:31 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1176
218.8 IPS |
|
|
Image Classification (HP)
|
100% |
7165
1.33 KIPS |
|
|
Image Classification (Q)
|
99% |
7530
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
721
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5051
81.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
5027
81.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5982
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
84548
98.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
85877
100.7 IPS |
|
|
Object Detection (SP)
|
100% |
1267
100.5 IPS |
|
|
Object Detection (HP)
|
99% |
8368
665.7 IPS |
|
|
Object Detection (Q)
|
93% |
8765
699.4 IPS |
|
|
Face Detection (SP)
|
100% |
2153
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
11176
132.8 IPS |
|
|
Face Detection (Q)
|
100% |
12939
153.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3711
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
50392
388.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
51736
400.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10599
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
138178
177.6 IPS |
|
|
Style Transfer (Q)
|
100% |
136987
176.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2859
105.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19132
706.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24308
900.6 IPS |
|
|
Text Classification (SP)
|
100% |
494
659.1 IPS |
|
|
Text Classification (HP)
|
100% |
531
708.4 IPS |
|
|
Text Classification (Q)
|
93% |
482
646.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1619
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2354
40.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2351
40.6 IPS |
