MacBook Air (Late 2020)
Geekbench AI Score
3216
Single Precision Score
5278
Half Precision Score
4389
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | diegoacd |
| Upload Date | December 08 2024 09:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1387
258.0 IPS |
|
|
Image Classification (HP)
|
100% |
2196
408.4 IPS |
|
|
Image Classification (Q)
|
96% |
1570
293.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2601
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6530
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13926
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12077
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.3 IPS |
|
|
Object Detection (HP)
|
97% |
2434
193.8 IPS |
|
|
Object Detection (Q)
|
94% |
1793
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
3020
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5487
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
3178
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5838
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11094
85.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7687
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16689
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25942
33.3 IPS |
|
|
Style Transfer (Q)
|
96% |
21889
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3718
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4351
160.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3354
123.8 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3967
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3951
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3817
66.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4241
73.3 IPS |
