MacBook Air (Late 2020)
Geekbench AI Score
3103
Single Precision Score
5210
Half Precision Score
4303
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | saneowl |
| Upload Date | December 20 2024 05:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 3.18 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1383
257.3 IPS |
|
|
Image Classification (HP)
|
100% |
2186
406.5 IPS |
|
|
Image Classification (Q)
|
96% |
1535
286.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1238
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2033
33.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2405
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6259
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
13841
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11843
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1497
118.7 IPS |
|
|
Object Detection (HP)
|
97% |
2343
186.5 IPS |
|
|
Object Detection (Q)
|
94% |
1773
141.4 IPS |
|
|
Face Detection (SP)
|
100% |
3024
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5481
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3139
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5753
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10977
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7642
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15760
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26030
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21727
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3596
132.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4463
164.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3253
120.1 IPS |
|
|
Text Classification (SP)
|
100% |
2207
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3810
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
4004
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2376
40.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3846
66.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4140
71.5 IPS |
