MacBook Air (Late 2020)
Geekbench AI Score
3175
Single Precision Score
5202
Half Precision Score
4349
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Besya |
| Upload Date | November 03 2024 12:15 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.18 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1328
246.9 IPS |
|
|
Image Classification (HP)
|
100% |
2078
386.5 IPS |
|
|
Image Classification (Q)
|
96% |
1518
283.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2563
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6484
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
13843
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11988
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
97% |
2400
191.1 IPS |
|
|
Object Detection (Q)
|
94% |
1773
141.3 IPS |
|
|
Face Detection (SP)
|
100% |
2986
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5461
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3173
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5722
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11039
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7636
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16563
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25752
33.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21663
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3701
136.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4319
159.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3335
123.1 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3990
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3977
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2476
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3723
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4214
72.8 IPS |
