MacBook Air (Late 2020)
Geekbench ML Score
2990
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 05:08 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1289
241.1 IPS |
|
|
Image Classification (F16)
|
100% |
1674
313.3 IPS |
|
|
Image Classification (I8)
|
99% |
1677
313.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
580
9.69 IPS |
|
|
Image Segmentation (F16)
|
100% |
583
9.73 IPS |
|
|
Image Segmentation (I8)
|
100% |
582
9.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
5629
6.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
13007
15.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
12996
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1317
98.3 IPS |
|
|
Object Detection (F16)
|
100% |
1761
131.5 IPS |
|
|
Object Detection (I8)
|
97% |
1315
98.2 IPS |
|
|
Face Detection (F32)
|
100% |
2388
28.4 IPS |
|
|
Face Detection (F16)
|
97% |
3972
47.2 IPS |
|
|
Face Detection (I8)
|
97% |
3975
47.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5196
40.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8171
63.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
8165
63.3 IPS |
|
|
Style Transfer (F32)
|
100% |
15202
20.0 IPS |
|
|
Style Transfer (F16)
|
100% |
24147
31.8 IPS |
|
|
Style Transfer (I8)
|
100% |
24214
31.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3473
124.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4477
159.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4530
161.8 IPS |
|
|
Text Classification (F32)
|
100% |
2113
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3406
4.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3383
4.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
717
13.2 IPS |
|
|
Machine Translation (F16)
|
100% |
873
16.1 IPS |
|
|
Machine Translation (I8)
|
99% |
726
13.4 IPS |
