MacBook Air (Late 2020)
Geekbench AI Score
2347
Single Precision Score
5407
Half Precision Score
4603
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | EthanLallak |
| Upload Date | September 14 2024 07:54 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5327a) |
| 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 | 3.17 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2259
420.1 IPS |
|
|
Image Classification (HP)
|
100% |
2309
429.3 IPS |
|
|
Image Classification (Q)
|
97% |
1842
343.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2605
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3338
54.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3352
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15857
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16904
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15507
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2547
202.0 IPS |
|
|
Object Detection (HP)
|
100% |
2619
207.7 IPS |
|
|
Object Detection (Q)
|
91% |
2003
160.0 IPS |
|
|
Face Detection (SP)
|
100% |
6447
76.6 IPS |
|
|
Face Detection (HP)
|
100% |
7772
92.4 IPS |
|
|
Face Detection (Q)
|
100% |
5085
60.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9697
74.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10950
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8530
66.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25975
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
30421
39.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28300
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5853
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6478
239.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5008
184.9 IPS |
|
|
Text Classification (SP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3844
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3820
5.13 KIPS |
|
|
Machine Translation (SP)
|
0
|
||
|
Machine Translation (HP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (Q)
|
98% |
950
16.4 IPS |
