MacBook Air (Late 2020)
Geekbench AI Score
3107
Single Precision Score
5480
Half Precision Score
4468
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | rd |
| Upload Date | December 26 2025 04:49 PM |
| Views | 4 |
| Notes | *mains power* |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
2237
415.9 IPS |
|
|
Image Classification (Q)
|
96% |
1585
296.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1347
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2212
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2541
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6015
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14125
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12151
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1385
109.8 IPS |
|
|
Object Detection (HP)
|
97% |
2406
191.5 IPS |
|
|
Object Detection (Q)
|
94% |
1782
142.0 IPS |
|
|
Face Detection (SP)
|
100% |
2962
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5469
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
3178
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5459
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10438
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7374
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16485
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26261
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21862
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3510
129.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4815
177.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3557
131.3 IPS |
|
|
Text Classification (SP)
|
100% |
2465
3.29 KIPS |
|
|
Text Classification (HP)
|
99% |
4256
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4225
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2491
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4734
81.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4727
81.7 IPS |
