MacBook Air (Late 2020)
Geekbench AI Score
5218
Single Precision Score
6068
Half Precision Score
5697
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | July 05 2025 11:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2358
438.6 IPS |
|
|
Image Classification (HP)
|
100% |
2437
453.3 IPS |
|
|
Image Classification (Q)
|
96% |
2353
439.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3982
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4241
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4053
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17216
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19192
22.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
18714
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
2603
206.5 IPS |
|
|
Object Detection (HP)
|
100% |
2714
215.3 IPS |
|
|
Object Detection (Q)
|
92% |
2438
194.6 IPS |
|
|
Face Detection (SP)
|
100% |
6504
77.3 IPS |
|
|
Face Detection (HP)
|
100% |
8183
97.2 IPS |
|
|
Face Detection (Q)
|
100% |
6861
81.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12162
93.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13842
106.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
13110
102.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28953
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35103
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
34384
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6532
241.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7437
274.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6271
231.6 IPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4065
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4130
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1046
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1034
17.9 IPS |
