MacBook Air (Late 2020)
Geekbench AI Score
2842
Single Precision Score
4318
Half Precision Score
3715
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 03 2025 03:20 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.8.2 (Build 23J126) |
| 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% |
1287
239.3 IPS |
|
|
Image Classification (HP)
|
100% |
1697
315.7 IPS |
|
|
Image Classification (Q)
|
96% |
1288
240.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1190
19.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1678
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5843
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
13462
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11636
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (HP)
|
97% |
1944
154.8 IPS |
|
|
Object Detection (Q)
|
94% |
1512
120.5 IPS |
|
|
Face Detection (SP)
|
100% |
2330
27.7 IPS |
|
|
Face Detection (HP)
|
100% |
3995
47.5 IPS |
|
|
Face Detection (Q)
|
100% |
2600
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5175
39.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
8132
62.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6139
47.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15769
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24938
32.1 IPS |
|
|
Style Transfer (Q)
|
96% |
20926
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3374
124.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4679
172.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3436
126.9 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3753
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3694
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1907
32.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2999
51.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3114
53.8 IPS |
