MacBook Air (Late 2020)
Geekbench AI Score
4462
Single Precision Score
5262
Half Precision Score
4669
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 26 2024 01:03 PM |
| Views | 2 |
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% |
2210
411.0 IPS |
|
|
Image Classification (HP)
|
100% |
2335
434.3 IPS |
|
|
Image Classification (Q)
|
97% |
1942
362.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2528
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3239
52.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3353
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15625
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16826
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15768
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2401
190.4 IPS |
|
|
Object Detection (HP)
|
100% |
2415
191.6 IPS |
|
|
Object Detection (Q)
|
91% |
2038
162.9 IPS |
|
|
Face Detection (SP)
|
100% |
6043
71.8 IPS |
|
|
Face Detection (HP)
|
100% |
7518
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
5272
62.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10126
78.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11265
86.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9230
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26830
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30480
39.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28833
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6048
223.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6635
245.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5114
188.8 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3931
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3933
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
653
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (Q)
|
98% |
835
14.4 IPS |
