MacBook Air (Late 2020)
Geekbench ML Score
6646
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 28 2024 11:54 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 3.19 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% |
1286
240.6 IPS |
|
|
Image Classification (F16)
|
100% |
6164
1.15 KIPS |
|
|
Image Classification (I8)
|
99% |
6224
1.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
789
13.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1078
18.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1074
17.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
15089
18.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
62702
75.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
63650
77.1 IPS |
|
|
Object Detection (F32)
|
100% |
1431
106.8 IPS |
|
|
Object Detection (F16)
|
100% |
4336
323.7 IPS |
|
|
Object Detection (I8)
|
97% |
1418
105.9 IPS |
|
|
Face Detection (F32)
|
100% |
4994
59.4 IPS |
|
|
Face Detection (F16)
|
97% |
11783
140.1 IPS |
|
|
Face Detection (I8)
|
96% |
11829
140.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
9940
77.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
43670
338.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
44660
346.3 IPS |
|
|
Style Transfer (F32)
|
100% |
26020
34.2 IPS |
|
|
Style Transfer (F16)
|
100% |
114192
150.2 IPS |
|
|
Style Transfer (I8)
|
100% |
121885
160.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5987
213.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24200
864.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
23769
848.9 IPS |
|
|
Text Classification (F32)
|
100% |
2143
3.08 KIPS |
|
|
Text Classification (F16)
|
100% |
3694
5.31 KIPS |
|
|
Text Classification (I8)
|
96% |
3668
5.27 KIPS |
|
|
Machine Translation (F32)
|
100% |
516
9.50 IPS |
|
|
Machine Translation (F16)
|
100% |
1419
26.1 IPS |
|
|
Machine Translation (I8)
|
99% |
557
10.2 IPS |
