MacBook Air (Late 2020)
Geekbench AI Score
4295
Single Precision Score
4705
Half Precision Score
1629
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 10:17 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1696
315.3 IPS |
|
|
Image Classification (HP)
|
100% |
2152
400.2 IPS |
|
|
Image Classification (Q)
|
97% |
1972
368.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2581
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3465
56.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3446
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16351
19.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17716
20.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
16108
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2404
190.7 IPS |
|
|
Object Detection (HP)
|
100% |
2541
201.6 IPS |
|
|
Object Detection (Q)
|
92% |
2013
160.7 IPS |
|
|
Face Detection (SP)
|
100% |
5846
69.5 IPS |
|
|
Face Detection (HP)
|
100% |
7334
87.1 IPS |
|
|
Face Detection (Q)
|
100% |
5256
62.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11492
88.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13231
101.9 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27846
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33449
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30790
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5943
219.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6930
255.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5355
197.7 IPS |
|
|
Text Classification (SP)
|
100% |
1045
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
646
862.6 IPS |
|
|
Text Classification (Q)
|
93% |
642
862.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1074
18.6 IPS |
