MacBook Air (Late 2020)
Geekbench AI Score
4627
Single Precision Score
5344
Half Precision Score
4616
Quantized Score
Geekbench AI 1.6.0 Corporate for macOS AArch64
Result Information
| Upload Date | December 02 2025 05:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
2123
394.7 IPS |
|
|
Image Classification (HP)
|
100% |
2270
422.1 IPS |
|
|
Image Classification (Q)
|
97% |
1872
349.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2621
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3279
53.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3312
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15569
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16832
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15596
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2427
192.5 IPS |
|
|
Object Detection (HP)
|
100% |
2465
195.5 IPS |
|
|
Object Detection (Q)
|
91% |
2012
160.8 IPS |
|
|
Face Detection (SP)
|
100% |
6790
80.7 IPS |
|
|
Face Detection (HP)
|
100% |
7822
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
5186
61.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10109
77.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11234
86.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9363
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26901
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31112
40.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29169
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6161
227.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6655
245.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5018
185.3 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4091
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
3967
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (Q)
|
98% |
802
13.9 IPS |
