MacBook Air (Late 2020)
Geekbench ML Score
2368
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | StevenZZH |
| Upload Date | August 01 2024 08:08 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5298h) |
| 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 | 1.95 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% |
911
170.4 IPS |
|
|
Image Classification (F16)
|
100% |
1357
253.9 IPS |
|
|
Image Classification (I8)
|
99% |
1355
253.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
544
9.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
664
11.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
644
10.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
4124
4.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
8746
10.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
8735
10.6 IPS |
|
|
Object Detection (F32)
|
100% |
918
68.6 IPS |
|
|
Object Detection (F16)
|
100% |
1336
99.7 IPS |
|
|
Object Detection (I8)
|
97% |
921
68.8 IPS |
|
|
Face Detection (F32)
|
100% |
2139
25.4 IPS |
|
|
Face Detection (F16)
|
97% |
3542
42.1 IPS |
|
|
Face Detection (I8)
|
97% |
3538
42.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
3733
29.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
6932
53.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
6947
53.9 IPS |
|
|
Style Transfer (F32)
|
100% |
10990
14.5 IPS |
|
|
Style Transfer (F16)
|
100% |
16642
21.9 IPS |
|
|
Style Transfer (I8)
|
100% |
16704
22.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2620
93.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3010
107.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2996
107.0 IPS |
|
|
Text Classification (F32)
|
100% |
1396
2.01 KIPS |
|
|
Text Classification (F16)
|
100% |
2291
3.29 KIPS |
|
|
Text Classification (I8)
|
96% |
2303
3.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
739
13.6 IPS |
|
|
Machine Translation (F16)
|
100% |
886
16.3 IPS |
|
|
Machine Translation (I8)
|
99% |
740
13.6 IPS |
