MacBook Air (Late 2020)
Geekbench AI Score
3170
Single Precision Score
5313
Half Precision Score
4365
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 26 2024 01:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.2 IPS |
|
|
Image Classification (HP)
|
100% |
2183
406.0 IPS |
|
|
Image Classification (Q)
|
96% |
1567
292.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1347
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2156
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2587
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6342
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
13950
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12010
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.0 IPS |
|
|
Object Detection (HP)
|
97% |
2418
192.5 IPS |
|
|
Object Detection (Q)
|
94% |
1784
142.2 IPS |
|
|
Face Detection (SP)
|
100% |
3025
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5429
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3003
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5658
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11030
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7612
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16693
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26148
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21956
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3733
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4551
168.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3394
125.3 IPS |
|
|
Text Classification (SP)
|
100% |
2152
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3979
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3987
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2507
43.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3987
68.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4258
73.6 IPS |
