MacBook Air (Late 2020)
Geekbench AI Score
4608
Single Precision Score
5264
Half Precision Score
4664
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 07:40 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2186
406.6 IPS |
|
|
Image Classification (HP)
|
100% |
2166
402.7 IPS |
|
|
Image Classification (Q)
|
97% |
1902
354.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2582
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3266
52.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3317
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15720
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16836
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15632
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2420
192.0 IPS |
|
|
Object Detection (HP)
|
100% |
2473
196.2 IPS |
|
|
Object Detection (Q)
|
91% |
2006
160.3 IPS |
|
|
Face Detection (SP)
|
100% |
6454
76.7 IPS |
|
|
Face Detection (HP)
|
100% |
7371
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
5146
61.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10016
77.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11210
86.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9286
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26662
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30873
39.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29061
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6057
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6560
242.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5043
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3973
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3945
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
839
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
892
15.4 IPS |
