MacBook Air (Late 2020)
Geekbench AI Score
2998
Single Precision Score
5128
Half Precision Score
4154
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ging1609 |
| Upload Date | November 20 2025 07:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.16 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1356
252.2 IPS |
|
|
Image Classification (HP)
|
100% |
2133
396.7 IPS |
|
|
Image Classification (Q)
|
96% |
1524
284.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2468
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6364
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
13904
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11647
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1438
114.1 IPS |
|
|
Object Detection (HP)
|
97% |
2185
174.0 IPS |
|
|
Object Detection (Q)
|
94% |
1721
137.2 IPS |
|
|
Face Detection (SP)
|
100% |
2839
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
5083
60.4 IPS |
|
|
Face Detection (Q)
|
100% |
2960
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5498
42.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10135
78.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7217
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16076
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24909
32.0 IPS |
|
|
Style Transfer (Q)
|
96% |
20552
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3651
134.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4169
153.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3319
122.5 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4133
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
3575
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1694
29.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4177
72.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3899
67.4 IPS |
