MacBook Air (Late 2020)
Geekbench AI Score
4873
Single Precision Score
5762
Half Precision Score
5161
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 07:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1970
366.3 IPS |
|
|
Image Classification (HP)
|
100% |
2186
406.5 IPS |
|
|
Image Classification (Q)
|
97% |
2189
408.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2689
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3631
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3726
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17142
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18725
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17367
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2658
210.8 IPS |
|
|
Object Detection (HP)
|
100% |
2690
213.4 IPS |
|
|
Object Detection (Q)
|
91% |
2201
175.8 IPS |
|
|
Face Detection (SP)
|
100% |
6768
80.4 IPS |
|
|
Face Detection (HP)
|
100% |
8503
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
5757
68.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12179
93.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13659
105.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
11219
87.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28966
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35010
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32616
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6544
241.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7217
266.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5426
200.4 IPS |
|
|
Text Classification (SP)
|
100% |
2320
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3999
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3975
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
947
16.4 IPS |
