MacBook Air (Late 2020)
Geekbench AI Score
3215
Single Precision Score
5371
Half Precision Score
4727
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | February 01 2026 12:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1419
263.8 IPS |
|
|
Image Classification (HP)
|
100% |
2222
413.2 IPS |
|
|
Image Classification (Q)
|
99% |
2217
413.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2129
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6505
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
14257
16.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12067
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
97% |
2401
191.1 IPS |
|
|
Object Detection (Q)
|
94% |
1789
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
2993
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
5350
63.6 IPS |
|
|
Face Detection (Q)
|
100% |
3117
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5695
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10293
79.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
10406
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16979
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27007
34.7 IPS |
|
|
Style Transfer (Q)
|
100% |
26990
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3692
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4531
167.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3457
128.1 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4020
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2520
43.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4526
78.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4524
78.2 IPS |
