MacBook Air (Late 2020) - Sophiya Personal MacBook Air (Late 2020)
Geekbench AI Score
4860
Single Precision Score
5293
Half Precision Score
5260
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Benjamin_Personal |
| Upload Date | April 15 2026 06:40 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 2.96 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2249
418.2 IPS |
|
|
Image Classification (HP)
|
100% |
1306
242.9 IPS |
|
|
Image Classification (Q)
|
96% |
1945
363.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3655
59.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3912
63.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3707
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15639
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17328
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16733
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2349
186.4 IPS |
|
|
Object Detection (HP)
|
100% |
2473
196.1 IPS |
|
|
Object Detection (Q)
|
92% |
2232
178.1 IPS |
|
|
Face Detection (SP)
|
100% |
6069
72.1 IPS |
|
|
Face Detection (HP)
|
100% |
7445
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
6169
73.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10222
78.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11306
87.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10401
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26772
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
30974
39.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30199
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5945
219.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6609
244.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5791
213.8 IPS |
|
|
Text Classification (SP)
|
100% |
2336
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4101
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4113
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1116
19.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1305
22.6 IPS |
