MacBook Air (Late 2020)
Geekbench ML Score
3536
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 30 2024 10:18 AM |
| Views | 2 |
System Information
| 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 |
| 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% |
1369
256.1 IPS |
|
|
Image Classification (F16)
|
100% |
2144
401.2 IPS |
|
|
Image Classification (I8)
|
99% |
2136
399.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
638
10.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
758
12.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
763
12.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6278
7.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
13334
16.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
13348
16.2 IPS |
|
|
Object Detection (F32)
|
100% |
1412
105.4 IPS |
|
|
Object Detection (F16)
|
100% |
2102
156.9 IPS |
|
|
Object Detection (I8)
|
97% |
1411
105.4 IPS |
|
|
Face Detection (F32)
|
100% |
2985
35.5 IPS |
|
|
Face Detection (F16)
|
97% |
5389
64.1 IPS |
|
|
Face Detection (I8)
|
97% |
5293
62.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5757
44.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10947
84.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
11023
85.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16330
21.5 IPS |
|
|
Style Transfer (F16)
|
100% |
25350
33.3 IPS |
|
|
Style Transfer (I8)
|
100% |
25778
33.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3867
138.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4737
169.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4644
165.8 IPS |
|
|
Text Classification (F32)
|
100% |
2139
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3652
5.25 KIPS |
|
|
Text Classification (I8)
|
96% |
3650
5.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
1114
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1385
25.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1117
20.6 IPS |
