MacBook Air (Late 2020)
Geekbench AI Score
4926
Single Precision Score
5567
Half Precision Score
5179
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | hytham |
| Upload Date | April 07 2025 11:57 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
2251
418.6 IPS |
|
|
Image Classification (HP)
|
100% |
2272
422.5 IPS |
|
|
Image Classification (Q)
|
96% |
2151
401.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3635
58.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3789
61.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3628
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15714
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16854
19.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16218
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2378
188.6 IPS |
|
|
Object Detection (HP)
|
100% |
2482
196.8 IPS |
|
|
Object Detection (Q)
|
92% |
2238
178.6 IPS |
|
|
Face Detection (SP)
|
100% |
6298
74.8 IPS |
|
|
Face Detection (HP)
|
100% |
7370
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
6157
73.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10006
77.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11222
86.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
10343
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26811
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30847
39.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29906
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6111
225.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6740
248.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5593
206.5 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4054
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4018
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1159
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1140
19.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1146
19.8 IPS |
