MacBook Air (Late 2020)
Geekbench AI Score
2913
Single Precision Score
5162
Half Precision Score
4241
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 31 2025 06:15 PM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.17 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1248
232.2 IPS |
|
|
Image Classification (HP)
|
100% |
2101
390.6 IPS |
|
|
Image Classification (Q)
|
96% |
1497
279.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1203
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2058
33.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2434
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5723
6.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
13427
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11611
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1332
105.6 IPS |
|
|
Object Detection (HP)
|
97% |
2291
182.4 IPS |
|
|
Object Detection (Q)
|
94% |
1717
136.8 IPS |
|
|
Face Detection (SP)
|
100% |
2687
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
5054
60.1 IPS |
|
|
Face Detection (Q)
|
100% |
2960
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5208
40.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9937
76.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7130
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15115
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25160
32.3 IPS |
|
|
Style Transfer (Q)
|
96% |
20922
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3271
120.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4437
163.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3349
123.7 IPS |
|
|
Text Classification (SP)
|
100% |
2360
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4143
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4136
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2355
40.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4350
75.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4243
73.3 IPS |
