MacBook Air (Late 2020)
Geekbench AI Score
4537
Single Precision Score
5195
Half Precision Score
3930
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | FangYuan |
| Upload Date | August 25 2024 04:48 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
2018
375.2 IPS |
|
|
Image Classification (HP)
|
100% |
1962
364.9 IPS |
|
|
Image Classification (Q)
|
99% |
1962
365.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2570
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3261
52.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
3246
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15677
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16803
19.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
15021
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2373
188.2 IPS |
|
|
Object Detection (HP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (Q)
|
91% |
1922
153.6 IPS |
|
|
Face Detection (SP)
|
100% |
6315
75.0 IPS |
|
|
Face Detection (HP)
|
100% |
7248
86.1 IPS |
|
|
Face Detection (Q)
|
100% |
5213
61.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10150
78.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11055
85.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
1710
13.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26651
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30638
39.4 IPS |
|
|
Style Transfer (Q)
|
100% |
30964
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5969
220.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6440
237.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4835
179.1 IPS |
|
|
Text Classification (SP)
|
100% |
2271
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3798
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3778
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
896
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
950
16.4 IPS |
