MacBook Air (Late 2020)
Geekbench ML Score
5785
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 12:15 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1176
220.0 IPS |
|
|
Image Classification (F16)
|
100% |
6098
1.14 KIPS |
|
|
Image Classification (I8)
|
99% |
6413
1.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
735
12.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1048
17.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
700
11.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
14281
17.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
55598
67.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
55900
67.7 IPS |
|
|
Object Detection (F32)
|
100% |
1425
106.4 IPS |
|
|
Object Detection (F16)
|
100% |
3828
285.8 IPS |
|
|
Object Detection (I8)
|
97% |
1330
99.3 IPS |
|
|
Face Detection (F32)
|
100% |
4932
58.6 IPS |
|
|
Face Detection (F16)
|
97% |
10388
123.5 IPS |
|
|
Face Detection (I8)
|
96% |
11764
139.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
11476
89.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
39004
302.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
39273
304.6 IPS |
|
|
Style Transfer (F32)
|
100% |
27686
36.4 IPS |
|
|
Style Transfer (F16)
|
100% |
102216
134.5 IPS |
|
|
Style Transfer (I8)
|
100% |
111476
146.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4339
155.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20893
746.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
22705
810.8 IPS |
|
|
Text Classification (F32)
|
100% |
1066
1.53 KIPS |
|
|
Text Classification (F16)
|
100% |
3018
4.34 KIPS |
|
|
Text Classification (I8)
|
96% |
2166
3.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
417
7.68 IPS |
|
|
Machine Translation (F16)
|
100% |
1101
20.3 IPS |
|
|
Machine Translation (I8)
|
99% |
423
7.79 IPS |
