MacBook Air (Late 2020)
Geekbench ML Score
6422
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 18 2024 03:20 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 13.6.7 (Build 22G720) |
| 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% |
2073
387.8 IPS |
|
|
Image Classification (F16)
|
100% |
7117
1.33 KIPS |
|
|
Image Classification (I8)
|
99% |
7127
1.33 KIPS |
|
|
Image Segmentation (F32)
|
100% |
620
10.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
3644
60.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
3699
61.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
15022
18.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
65255
79.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
65892
79.8 IPS |
|
|
Object Detection (F32)
|
100% |
1870
139.6 IPS |
|
|
Object Detection (F16)
|
100% |
4095
305.7 IPS |
|
|
Object Detection (I8)
|
97% |
1600
119.4 IPS |
|
|
Face Detection (F32)
|
100% |
6618
78.7 IPS |
|
|
Face Detection (F16)
|
97% |
11614
138.1 IPS |
|
|
Face Detection (I8)
|
96% |
11565
137.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
10189
79.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
34763
269.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
34774
269.7 IPS |
|
|
Style Transfer (F32)
|
100% |
26521
34.9 IPS |
|
|
Style Transfer (F16)
|
100% |
88115
115.9 IPS |
|
|
Style Transfer (I8)
|
100% |
88973
117.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4791
171.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14155
505.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
14049
501.7 IPS |
|
|
Text Classification (F32)
|
100% |
503
722.4 IPS |
|
|
Text Classification (F16)
|
100% |
1065
1.53 KIPS |
|
|
Text Classification (I8)
|
96% |
1098
1.58 KIPS |
|
|
Machine Translation (F32)
|
100% |
1052
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1717
31.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1061
19.5 IPS |
