MacBook Air (Late 2020)
Geekbench ML Score
6660
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | aureozanon |
| Upload Date | May 09 2024 02:00 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1604
300.2 IPS |
|
|
Image Classification (F16)
|
100% |
6225
1.16 KIPS |
|
|
Image Classification (I8)
|
99% |
6384
1.19 KIPS |
|
|
Image Segmentation (F32)
|
100% |
811
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3749
62.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
3828
63.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
14932
18.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
62852
76.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
64284
77.8 IPS |
|
|
Object Detection (F32)
|
100% |
1408
105.1 IPS |
|
|
Object Detection (F16)
|
100% |
4016
299.9 IPS |
|
|
Object Detection (I8)
|
97% |
1525
113.8 IPS |
|
|
Face Detection (F32)
|
100% |
5834
69.4 IPS |
|
|
Face Detection (F16)
|
97% |
11804
140.3 IPS |
|
|
Face Detection (I8)
|
96% |
11702
139.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
10196
79.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
40155
311.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
40963
317.7 IPS |
|
|
Style Transfer (F32)
|
100% |
26392
34.7 IPS |
|
|
Style Transfer (F16)
|
100% |
115105
151.4 IPS |
|
|
Style Transfer (I8)
|
100% |
119969
157.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6089
217.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18039
644.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18155
648.4 IPS |
|
|
Text Classification (F32)
|
100% |
498
715.4 IPS |
|
|
Text Classification (F16)
|
100% |
2217
3.19 KIPS |
|
|
Text Classification (I8)
|
96% |
2234
3.21 KIPS |
|
|
Machine Translation (F32)
|
100% |
554
10.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1778
32.7 IPS |
|
|
Machine Translation (I8)
|
99% |
551
10.1 IPS |
