MacBook Air (Late 2020)
Geekbench AI Score
2843
Single Precision Score
4315
Half Precision Score
3715
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 10:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1300
241.7 IPS |
|
|
Image Classification (HP)
|
100% |
1685
313.3 IPS |
|
|
Image Classification (Q)
|
96% |
1288
240.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1166
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1165
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1681
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5844
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
13512
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11672
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (HP)
|
97% |
1959
155.9 IPS |
|
|
Object Detection (Q)
|
94% |
1527
121.7 IPS |
|
|
Face Detection (SP)
|
100% |
2422
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
4097
48.7 IPS |
|
|
Face Detection (Q)
|
100% |
2661
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5254
40.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
8233
63.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6207
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15617
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24814
31.9 IPS |
|
|
Style Transfer (Q)
|
96% |
20779
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3335
123.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4544
167.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3390
125.2 IPS |
|
|
Text Classification (SP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3658
4.88 KIPS |
|
|
Text Classification (Q)
|
93% |
3619
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1851
31.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3101
53.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3087
53.4 IPS |
