MacBook Air (Late 2020)
Geekbench AI Score
4955
Single Precision Score
5818
Half Precision Score
5371
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | January 05 2026 10:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
2062
383.4 IPS |
|
|
Image Classification (HP)
|
100% |
2536
471.6 IPS |
|
|
Image Classification (Q)
|
96% |
2145
400.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3689
59.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3833
62.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3667
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15795
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17404
20.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
16790
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2433
193.0 IPS |
|
|
Object Detection (HP)
|
100% |
2519
199.8 IPS |
|
|
Object Detection (Q)
|
92% |
2280
182.0 IPS |
|
|
Face Detection (SP)
|
100% |
6510
77.4 IPS |
|
|
Face Detection (HP)
|
100% |
7806
92.7 IPS |
|
|
Face Detection (Q)
|
100% |
6448
76.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10372
79.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11806
91.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10902
85.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26715
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31276
40.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30174
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6061
223.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6760
249.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5563
205.4 IPS |
|
|
Text Classification (SP)
|
100% |
2421
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4246
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4351
5.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1154
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1262
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1294
22.4 IPS |
