MacBook Air (Late 2020)
Geekbench AI Score
5100
Single Precision Score
5892
Half Precision Score
5460
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 18 2025 04:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2316
430.7 IPS |
|
|
Image Classification (HP)
|
100% |
2518
468.3 IPS |
|
|
Image Classification (Q)
|
96% |
2315
432.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3751
60.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3982
64.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3762
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15880
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17418
20.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
16884
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2526
200.3 IPS |
|
|
Object Detection (HP)
|
100% |
2585
205.0 IPS |
|
|
Object Detection (Q)
|
92% |
2418
193.0 IPS |
|
|
Face Detection (SP)
|
100% |
6783
80.6 IPS |
|
|
Face Detection (HP)
|
100% |
7797
92.6 IPS |
|
|
Face Detection (Q)
|
100% |
6611
78.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10379
80.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11746
90.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10848
84.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27051
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31670
40.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30721
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6472
239.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7285
269.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5961
220.1 IPS |
|
|
Text Classification (SP)
|
100% |
2419
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4284
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4267
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1147
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1234
21.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1183
20.4 IPS |
