MacBook Air (2022)
Geekbench AI Score
2018
Single Precision Score
11688
Half Precision Score
12413
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 01:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| 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% |
1172
218.0 IPS |
|
|
Image Classification (HP)
|
100% |
7166
1.33 KIPS |
|
|
Image Classification (Q)
|
99% |
7732
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
714
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5022
81.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
5052
81.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5953
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
87632
102.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
88622
103.9 IPS |
|
|
Object Detection (SP)
|
100% |
1260
99.9 IPS |
|
|
Object Detection (HP)
|
99% |
8336
663.1 IPS |
|
|
Object Detection (Q)
|
93% |
8864
707.3 IPS |
|
|
Face Detection (SP)
|
100% |
2127
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
11189
132.9 IPS |
|
|
Face Detection (Q)
|
100% |
11981
142.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3629
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47202
363.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
52266
404.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10571
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
138386
177.9 IPS |
|
|
Style Transfer (Q)
|
100% |
139140
178.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2876
106.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19232
710.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25265
936.0 IPS |
|
|
Text Classification (SP)
|
100% |
466
621.9 IPS |
|
|
Text Classification (HP)
|
100% |
548
731.5 IPS |
|
|
Text Classification (Q)
|
93% |
546
732.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1638
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2350
40.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2355
40.7 IPS |
