MacBook Air (Late 2020)
Geekbench ML Score
3531
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 12:09 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1378
257.8 IPS |
|
|
Image Classification (F16)
|
100% |
2149
402.2 IPS |
|
|
Image Classification (I8)
|
99% |
2149
402.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
654
10.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
792
13.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
769
12.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6274
7.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
13315
16.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
13359
16.2 IPS |
|
|
Object Detection (F32)
|
100% |
1408
105.1 IPS |
|
|
Object Detection (F16)
|
100% |
2097
156.5 IPS |
|
|
Object Detection (I8)
|
97% |
1408
105.1 IPS |
|
|
Face Detection (F32)
|
100% |
2991
35.6 IPS |
|
|
Face Detection (F16)
|
97% |
5376
63.9 IPS |
|
|
Face Detection (I8)
|
97% |
5400
64.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5767
44.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10923
84.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
9959
77.2 IPS |
|
|
Style Transfer (F32)
|
100% |
16631
21.9 IPS |
|
|
Style Transfer (F16)
|
100% |
25897
34.1 IPS |
|
|
Style Transfer (I8)
|
100% |
25918
34.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3902
139.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4745
169.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4742
169.4 IPS |
|
|
Text Classification (F32)
|
100% |
2059
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3465
4.98 KIPS |
|
|
Text Classification (I8)
|
96% |
3608
5.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
1116
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1384
25.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1102
20.3 IPS |
