MacBook Air (Late 2020)
Geekbench AI Score
3183
Single Precision Score
13689
Half Precision Score
13981
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | WJOhnas |
| Upload Date | September 14 2024 05:43 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| Model | MacBook Air (Late 2020) |
| Model ID | MacBookAir10,1 |
| Motherboard | MacBookAir10,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.18 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1384
257.3 IPS |
|
|
Image Classification (HP)
|
100% |
6225
1.16 KIPS |
|
|
Image Classification (Q)
|
99% |
6489
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1355
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6097
98.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
6108
99.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6483
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
67148
78.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
64362
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1494
118.5 IPS |
|
|
Object Detection (HP)
|
99% |
6873
546.7 IPS |
|
|
Object Detection (Q)
|
91% |
6791
542.6 IPS |
|
|
Face Detection (SP)
|
100% |
2985
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
12655
150.4 IPS |
|
|
Face Detection (Q)
|
100% |
13933
165.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5762
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
43755
337.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
47062
363.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16722
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
117844
151.5 IPS |
|
|
Style Transfer (Q)
|
100% |
123338
158.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3687
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23444
865.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23656
876.4 IPS |
|
|
Text Classification (SP)
|
100% |
2253
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3788
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3795
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2462
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2278
39.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2270
39.2 IPS |
