MacBook Air (Late 2020) - Robin Personal MacBook Air (Late 2020)
Geekbench AI Score
4517
Single Precision Score
5173
Half Precision Score
4584
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | jordatech |
| Upload Date | April 15 2026 09:42 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2200
409.1 IPS |
|
|
Image Classification (HP)
|
100% |
2374
441.5 IPS |
|
|
Image Classification (Q)
|
97% |
2005
374.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2588
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3270
53.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3303
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15722
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16838
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15708
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2407
190.9 IPS |
|
|
Object Detection (HP)
|
100% |
2475
196.3 IPS |
|
|
Object Detection (Q)
|
91% |
2103
168.0 IPS |
|
|
Face Detection (SP)
|
100% |
6489
77.1 IPS |
|
|
Face Detection (HP)
|
100% |
7281
86.5 IPS |
|
|
Face Detection (Q)
|
100% |
5065
60.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9975
76.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10953
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9384
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26936
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30688
39.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28791
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6061
223.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6650
245.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5019
185.3 IPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3983
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4103
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (Q)
|
98% |
665
11.5 IPS |
