MacBook Air (2022)
Geekbench AI Score
3437
Single Precision Score
5916
Half Precision Score
5153
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | theodore927 |
| Upload Date | August 23 2024 10:46 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5327a) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1376
255.8 IPS |
|
|
Image Classification (HP)
|
100% |
2485
462.1 IPS |
|
|
Image Classification (Q)
|
99% |
2480
462.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2441
39.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
2438
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6870
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14957
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12828
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1546
122.6 IPS |
|
|
Object Detection (HP)
|
97% |
2860
227.7 IPS |
|
|
Object Detection (Q)
|
94% |
2059
164.1 IPS |
|
|
Face Detection (SP)
|
100% |
3134
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6017
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
3469
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5651
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11564
89.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
11598
89.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18805
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28930
37.2 IPS |
|
|
Style Transfer (Q)
|
100% |
28911
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4111
151.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4803
177.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3501
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
2164
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3640
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3549
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3515
60.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5759
99.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5725
98.9 IPS |
