MacBook Air (Late 2020)
Geekbench AI Score
5242
Single Precision Score
6141
Half Precision Score
5767
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | fridriksa |
| Upload Date | July 12 2025 07:45 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2411
448.4 IPS |
|
|
Image Classification (HP)
|
100% |
2394
445.2 IPS |
|
|
Image Classification (Q)
|
96% |
2292
428.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4020
65.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4276
69.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4113
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16980
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19246
22.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
18616
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
2566
203.6 IPS |
|
|
Object Detection (HP)
|
100% |
2623
208.1 IPS |
|
|
Object Detection (Q)
|
92% |
2386
190.4 IPS |
|
|
Face Detection (SP)
|
100% |
6747
80.2 IPS |
|
|
Face Detection (HP)
|
100% |
8538
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
7032
83.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12322
94.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13732
105.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
12562
98.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29024
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35425
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34372
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6337
234.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7289
269.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5894
217.7 IPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3961
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3942
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1046
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1232
21.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1378
23.8 IPS |
