MacBook Air (Late 2020)
Geekbench AI Score
4832
Single Precision Score
5731
Half Precision Score
4995
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 26 2024 01:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2405
447.3 IPS |
|
|
Image Classification (HP)
|
100% |
2737
509.0 IPS |
|
|
Image Classification (Q)
|
97% |
2221
414.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2680
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3653
59.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3699
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17094
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18629
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17374
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2635
209.0 IPS |
|
|
Object Detection (HP)
|
100% |
2631
208.7 IPS |
|
|
Object Detection (Q)
|
91% |
2256
180.3 IPS |
|
|
Face Detection (SP)
|
100% |
6501
77.2 IPS |
|
|
Face Detection (HP)
|
100% |
8062
95.8 IPS |
|
|
Face Detection (Q)
|
100% |
5651
67.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11941
92.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13623
105.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
11151
87.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29407
37.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35143
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32526
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6530
241.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7350
271.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5408
199.7 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3947
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3922
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
701
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (Q)
|
98% |
692
12.0 IPS |
