MacBook Air (Late 2020)
Geekbench AI Score
3090
Single Precision Score
5445
Half Precision Score
4463
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 01 2026 03:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
1292
240.3 IPS |
|
|
Image Classification (HP)
|
100% |
2222
413.3 IPS |
|
|
Image Classification (Q)
|
96% |
1581
295.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1311
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2141
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2533
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6021
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14134
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12146
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1386
109.9 IPS |
|
|
Object Detection (HP)
|
97% |
2400
191.1 IPS |
|
|
Object Detection (Q)
|
94% |
1776
141.5 IPS |
|
|
Face Detection (SP)
|
100% |
2971
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5430
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3158
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5460
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10454
80.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7361
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16436
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26241
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21829
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3477
128.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4674
172.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3521
130.0 IPS |
|
|
Text Classification (SP)
|
100% |
2431
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
4292
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4266
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2492
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4751
82.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4769
82.4 IPS |
