User | 365azureguy |
Upload Date | December 06 2024 06:06 PM |
Views | 3 |
AI Information | |
---|---|
Framework | Core ML |
Backend | GPU |
Device | Apple M1 |
System Information | |
---|---|
Operating System | iOS 18.2 |
Model | iPad Pro (12.9-inch 5th generation) |
Model ID | iPad13,10 |
Motherboard | J523AP |
CPU Information | |
---|---|
Name | Apple M1 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM |
Base Frequency | 3.19 GHz |
Cluster 1 | 4 Cores |
Cluster 2 | 4 Cores |
Memory Information | |
---|---|
Size | 7.35 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1871
347.9 IPS |
|
Image Classification (HP)
|
100% |
2151
400.0 IPS |
|
Image Classification (Q)
|
97% |
2035
379.8 IPS |
|
Image Segmentation (SP)
|
100% |
2704
43.8 IPS |
|
Image Segmentation (HP)
|
100% |
3636
58.9 IPS |
|
Image Segmentation (Q)
|
99% |
3699
60.0 IPS |
|
Pose Estimation (SP)
|
100% |
16971
19.8 IPS |
|
Pose Estimation (HP)
|
100% |
18282
21.3 IPS |
|
Pose Estimation (Q)
|
95% |
17021
19.9 IPS |
|
Object Detection (SP)
|
100% |
2718
215.6 IPS |
|
Object Detection (HP)
|
100% |
2728
216.4 IPS |
|
Object Detection (Q)
|
91% |
2162
172.7 IPS |
|
Face Detection (SP)
|
100% |
6845
81.3 IPS |
|
Face Detection (HP)
|
100% |
8363
99.4 IPS |
|
Face Detection (Q)
|
100% |
5778
68.7 IPS |
|
Depth Estimation (SP)
|
100% |
12201
94.0 IPS |
|
Depth Estimation (HP)
|
99% |
13692
105.5 IPS |
|
Depth Estimation (Q)
|
85% |
11489
89.8 IPS |
|
Style Transfer (SP)
|
100% |
28262
36.3 IPS |
|
Style Transfer (HP)
|
100% |
34675
44.6 IPS |
|
Style Transfer (Q)
|
96% |
32599
42.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
6341
234.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
7107
262.4 IPS |
|
Image Super-Resolution (Q)
|
99% |
5430
200.5 IPS |
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
Text Classification (HP)
|
100% |
3967
5.29 KIPS |
|
Text Classification (Q)
|
93% |
3963
5.32 KIPS |
|
Machine Translation (SP)
|
100% |
856
14.7 IPS |
|
Machine Translation (HP)
|
100% |
844
14.5 IPS |
|
Machine Translation (Q)
|
98% |
850
14.7 IPS |