| User | mavica |
| Upload Date | August 23 2024 12:04 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
990
184.1 IPS |
|
|
Image Classification (HP)
|
100% |
6410
1.19 KIPS |
|
|
Image Classification (Q)
|
99% |
6552
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4240
68.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
4222
68.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5687
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
67856
79.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
64113
75.2 IPS |
|
|
Object Detection (SP)
|
100% |
1064
84.4 IPS |
|
|
Object Detection (HP)
|
99% |
7189
571.9 IPS |
|
|
Object Detection (Q)
|
93% |
6641
529.9 IPS |
|
|
Face Detection (SP)
|
100% |
1839
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
12342
146.6 IPS |
|
|
Face Detection (Q)
|
100% |
11786
140.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3270
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
44567
343.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
47549
367.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9803
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
118763
152.7 IPS |
|
|
Style Transfer (Q)
|
100% |
124583
160.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2565
94.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18027
665.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
20576
762.3 IPS |
|
|
Text Classification (SP)
|
100% |
365
486.9 IPS |
|
|
Text Classification (HP)
|
100% |
2670
3.56 KIPS |
|
|
Text Classification (Q)
|
93% |
2475
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1358
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2319
39.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2298
39.7 IPS |