MacBook Air (Late 2020)
Geekbench AI Score
1730
Single Precision Score
3057
Half Precision Score
2360
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | toshiyuki |
| Upload Date | January 28 2025 10:56 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
886
164.8 IPS |
|
|
Image Classification (HP)
|
100% |
1376
255.8 IPS |
|
|
Image Classification (Q)
|
96% |
789
147.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
682
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1354
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2776
3.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
6208
7.24 IPS |
|
|
Pose Estimation (Q)
|
95% |
5586
6.55 IPS |
|
|
Object Detection (SP)
|
100% |
847
67.2 IPS |
|
|
Object Detection (HP)
|
97% |
1383
110.1 IPS |
|
|
Object Detection (Q)
|
94% |
872
69.5 IPS |
|
|
Face Detection (SP)
|
100% |
1608
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3214
38.2 IPS |
|
|
Face Detection (Q)
|
100% |
1749
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2771
21.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
7089
54.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
4388
34.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8226
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14724
18.9 IPS |
|
|
Style Transfer (Q)
|
96% |
12512
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2298
84.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2787
102.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1733
64.0 IPS |
|
|
Text Classification (SP)
|
100% |
1533
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2617
3.49 KIPS |
|
|
Text Classification (Q)
|
93% |
2599
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1309
22.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1931
33.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2386
41.2 IPS |
