MacBook Air (Late 2020)
Geekbench ML Score
1857
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 18 2024 03:16 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 13.6.7 (Build 22G720) |
| 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 |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1025
191.8 IPS |
|
|
Image Classification (F16)
|
100% |
931
174.2 IPS |
|
|
Image Classification (I8)
|
99% |
958
179.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
653
10.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
581
9.71 IPS |
|
|
Image Segmentation (I8)
|
100% |
581
9.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
5704
6.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
9614
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9654
11.7 IPS |
|
|
Object Detection (F32)
|
100% |
988
73.8 IPS |
|
|
Object Detection (F16)
|
100% |
1031
77.0 IPS |
|
|
Object Detection (I8)
|
97% |
1055
78.8 IPS |
|
|
Face Detection (F32)
|
100% |
1869
22.2 IPS |
|
|
Face Detection (F16)
|
100% |
1565
18.6 IPS |
|
|
Face Detection (I8)
|
99% |
1657
19.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3500
27.1 IPS |
|
|
Depth Estimation (F16)
|
99% |
3614
28.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
3878
30.1 IPS |
|
|
Style Transfer (F32)
|
100% |
9879
13.0 IPS |
|
|
Style Transfer (F16)
|
100% |
11228
14.8 IPS |
|
|
Style Transfer (I8)
|
100% |
11227
14.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1874
66.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2059
73.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2661
95.0 IPS |
|
|
Text Classification (F32)
|
100% |
323
463.8 IPS |
|
|
Text Classification (F16)
|
100% |
352
506.3 IPS |
|
|
Text Classification (I8)
|
96% |
710
1.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1524
28.1 IPS |
|
|
Machine Translation (F16)
|
99% |
1821
33.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1505
27.7 IPS |
