User | M91 |
Upload Date | September 03 2024 11:39 AM |
Views | 2 |
AI Information | |
---|---|
Framework | Core ML |
Backend | Neural Engine |
Device | Apple A13 Bionic |
System Information | |
---|---|
Operating System | iOS 18.0 |
Model | iPad (9th generation) |
Model ID | iPad12,1 |
Motherboard | J181AP |
CPU Information | |
---|---|
Name | Apple A13 Bionic |
Topology | 1 Processor, 6 Cores |
Identifier | ARM |
Base Frequency | 2.66 GHz |
Cluster 1 | 2 Cores |
Cluster 2 | 4 Cores |
Memory Information | |
---|---|
Size | 2.87 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
538
100.0 IPS |
|
Image Classification (HP)
|
100% |
2973
552.9 IPS |
|
Image Classification (Q)
|
99% |
2942
548.7 IPS |
|
Image Segmentation (SP)
|
100% |
401
6.51 IPS |
|
Image Segmentation (HP)
|
100% |
469
7.60 IPS |
|
Image Segmentation (Q)
|
100% |
481
7.80 IPS |
|
Pose Estimation (SP)
|
100% |
3159
3.69 IPS |
|
Pose Estimation (HP)
|
100% |
29191
34.1 IPS |
|
Pose Estimation (Q)
|
95% |
3301
3.87 IPS |
|
Object Detection (SP)
|
100% |
546
43.3 IPS |
|
Object Detection (HP)
|
100% |
2410
191.2 IPS |
|
Object Detection (Q)
|
94% |
268
21.4 IPS |
|
Face Detection (SP)
|
100% |
1099
13.1 IPS |
|
Face Detection (HP)
|
100% |
6963
82.7 IPS |
|
Face Detection (Q)
|
100% |
366
4.35 IPS |
|
Depth Estimation (SP)
|
100% |
1905
14.7 IPS |
|
Depth Estimation (HP)
|
99% |
23064
177.7 IPS |
|
Depth Estimation (Q)
|
97% |
23129
178.8 IPS |
|
Style Transfer (SP)
|
100% |
5152
6.62 IPS |
|
Style Transfer (HP)
|
100% |
10789
13.9 IPS |
|
Style Transfer (Q)
|
100% |
10846
13.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
1681
62.1 IPS |
|
Image Super-Resolution (HP)
|
100% |
4348
160.6 IPS |
|
Image Super-Resolution (Q)
|
98% |
618
22.9 IPS |
|
Text Classification (SP)
|
100% |
769
1.03 KIPS |
|
Text Classification (HP)
|
100% |
457
609.5 IPS |
|
Text Classification (Q)
|
93% |
457
612.8 IPS |
|
Machine Translation (SP)
|
100% |
839
14.5 IPS |
|
Machine Translation (HP)
|
100% |
1030
17.7 IPS |
|
Machine Translation (Q)
|
98% |
1027
17.8 IPS |