MacBook Air (Late 2020)
Geekbench ML Score
2705
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 09:42 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F5064f) |
| 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 | 1.95 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1380
258.3 IPS |
|
|
Image Classification (F16)
|
100% |
1266
236.9 IPS |
|
|
Image Classification (I8)
|
99% |
1291
241.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
715
11.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
752
12.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
750
12.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
15380
18.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
16371
19.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
15813
19.1 IPS |
|
|
Object Detection (F32)
|
100% |
1605
119.8 IPS |
|
|
Object Detection (F16)
|
100% |
1413
105.5 IPS |
|
|
Object Detection (I8)
|
97% |
1452
108.4 IPS |
|
|
Face Detection (F32)
|
100% |
4542
54.0 IPS |
|
|
Face Detection (F16)
|
98% |
5442
64.7 IPS |
|
|
Face Detection (I8)
|
97% |
4774
56.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
8858
68.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10124
78.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
9904
76.8 IPS |
|
|
Style Transfer (F32)
|
100% |
25902
34.1 IPS |
|
|
Style Transfer (F16)
|
100% |
27623
36.3 IPS |
|
|
Style Transfer (I8)
|
100% |
30829
40.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4494
160.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5368
191.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4854
173.3 IPS |
|
|
Text Classification (F32)
|
100% |
250
360.0 IPS |
|
|
Text Classification (F16)
|
100% |
332
477.7 IPS |
|
|
Text Classification (I8)
|
96% |
331
476.0 IPS |
|
|
Machine Translation (F32)
|
100% |
471
8.66 IPS |
|
|
Machine Translation (F16)
|
100% |
475
8.73 IPS |
|
|
Machine Translation (I8)
|
99% |
465
8.56 IPS |
