| User | M1_MACBOOK |
| Upload Date | December 27 2024 04:50 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.2 (Build 23H311) |
| 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 | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
196
36.5 IPS |
|
|
Image Classification (HP)
|
100% |
2777
516.5 IPS |
|
|
Image Classification (Q)
|
96% |
2549
475.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
163
2.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
201
3.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
1564
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
26560
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
26195
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (HP)
|
99% |
2714
215.9 IPS |
|
|
Object Detection (Q)
|
93% |
2703
215.7 IPS |
|
|
Face Detection (SP)
|
100% |
540
6.42 IPS |
|
|
Face Detection (HP)
|
100% |
5155
61.3 IPS |
|
|
Face Detection (Q)
|
100% |
5564
66.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2795
21.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17947
138.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
21134
165.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7525
9.67 IPS |
|
|
Style Transfer (HP)
|
100% |
119034
153.0 IPS |
|
|
Style Transfer (Q)
|
96% |
110028
142.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2233
82.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18193
671.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19687
727.0 IPS |
|
|
Text Classification (SP)
|
100% |
582
777.1 IPS |
|
|
Text Classification (HP)
|
100% |
2507
3.35 KIPS |
|
|
Text Classification (Q)
|
93% |
2611
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1169
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2279
39.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2247
38.8 IPS |