MacBook Air (Late 2020)
Geekbench ML Score
6862
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 22 2024 02:33 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1617
302.6 IPS |
|
|
Image Classification (F16)
|
100% |
6268
1.17 KIPS |
|
|
Image Classification (I8)
|
99% |
6406
1.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
794
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
3808
63.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
3842
64.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
15179
18.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
62464
75.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
64191
77.7 IPS |
|
|
Object Detection (F32)
|
100% |
1598
119.3 IPS |
|
|
Object Detection (F16)
|
100% |
3890
290.4 IPS |
|
|
Object Detection (I8)
|
97% |
1559
116.4 IPS |
|
|
Face Detection (F32)
|
100% |
5630
66.9 IPS |
|
|
Face Detection (F16)
|
97% |
11700
139.1 IPS |
|
|
Face Detection (I8)
|
96% |
11679
138.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
10228
79.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
40339
312.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
41559
322.3 IPS |
|
|
Style Transfer (F32)
|
100% |
26636
35.0 IPS |
|
|
Style Transfer (F16)
|
100% |
115021
151.3 IPS |
|
|
Style Transfer (I8)
|
100% |
118952
156.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6330
226.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18181
649.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18173
649.0 IPS |
|
|
Text Classification (F32)
|
100% |
979
1.41 KIPS |
|
|
Text Classification (F16)
|
100% |
2239
3.22 KIPS |
|
|
Text Classification (I8)
|
96% |
2283
3.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
561
10.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1770
32.6 IPS |
|
|
Machine Translation (I8)
|
99% |
560
10.3 IPS |
