MacBook Air (Late 2020)
Geekbench AI Score
4860
Single Precision Score
5616
Half Precision Score
5258
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 16 2025 07:15 PM |
| Views | 2 |
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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1959
364.3 IPS |
|
|
Image Classification (HP)
|
100% |
2310
429.5 IPS |
|
|
Image Classification (Q)
|
96% |
2132
398.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3653
59.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3799
61.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3648
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15678
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17312
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16790
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2391
189.7 IPS |
|
|
Object Detection (HP)
|
100% |
2439
193.5 IPS |
|
|
Object Detection (Q)
|
92% |
2249
179.5 IPS |
|
|
Face Detection (SP)
|
100% |
6314
75.0 IPS |
|
|
Face Detection (HP)
|
100% |
7466
88.7 IPS |
|
|
Face Detection (Q)
|
100% |
6314
75.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10292
79.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11665
89.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10822
84.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26862
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30921
39.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29973
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6136
226.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6812
251.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5810
214.5 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4056
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4022
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1109
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1132
19.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1151
19.9 IPS |
