MacBook Air (Late 2020)
Geekbench AI Score
2858
Single Precision Score
4289
Half Precision Score
3563
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | HippoPCBuilder |
| Upload Date | August 29 2024 02:36 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1314
244.3 IPS |
|
|
Image Classification (HP)
|
100% |
1701
316.3 IPS |
|
|
Image Classification (Q)
|
99% |
1698
316.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1174
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1156
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5851
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
13552
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11556
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1401
111.1 IPS |
|
|
Object Detection (HP)
|
97% |
1946
154.9 IPS |
|
|
Object Detection (Q)
|
94% |
1527
121.7 IPS |
|
|
Face Detection (SP)
|
100% |
2403
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4013
47.7 IPS |
|
|
Face Detection (Q)
|
100% |
2613
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5223
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8167
63.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
3902
30.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15643
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24705
31.8 IPS |
|
|
Style Transfer (Q)
|
100% |
24759
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3392
125.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4413
163.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3378
125.2 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3694
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3639
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1887
32.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3081
53.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3075
53.1 IPS |
