User | TheCluster |
Upload Date | September 14 2024 04:48 AM |
Views | 20 |
AI Information | |
---|---|
Framework | Core ML |
Backend | Neural Engine |
Device | ARM |
System Information | |
---|---|
Operating System | iOS 18.0 |
Model | iPad16,3 |
Model ID | iPad16,3 |
Motherboard | J717AP |
CPU Information | |
---|---|
Name | ARM |
Topology | 1 Processor, 9 Cores |
Identifier | ARM |
Base Frequency | 4.40 GHz |
Cluster 1 | 3 Cores |
Cluster 2 | 6 Cores |
Memory Information | |
---|---|
Size | 7.29 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1992
370.5 IPS |
|
Image Classification (HP)
|
100% |
18115
3.37 KIPS |
|
Image Classification (Q)
|
97% |
26477
4.94 KIPS |
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
Image Segmentation (HP)
|
100% |
16303
264.3 IPS |
|
Image Segmentation (Q)
|
99% |
20527
332.8 IPS |
|
Pose Estimation (SP)
|
100% |
10059
11.7 IPS |
|
Pose Estimation (HP)
|
100% |
123054
143.6 IPS |
|
Pose Estimation (Q)
|
95% |
230613
270.3 IPS |
|
Object Detection (SP)
|
100% |
2209
175.2 IPS |
|
Object Detection (HP)
|
100% |
18615
1.48 KIPS |
|
Object Detection (Q)
|
91% |
25580
2.04 KIPS |
|
Face Detection (SP)
|
100% |
3950
46.9 IPS |
|
Face Detection (HP)
|
100% |
41508
493.2 IPS |
|
Face Detection (Q)
|
100% |
60879
723.4 IPS |
|
Depth Estimation (SP)
|
100% |
8284
63.8 IPS |
|
Depth Estimation (HP)
|
99% |
98732
760.7 IPS |
|
Depth Estimation (Q)
|
85% |
169449
1.32 KIPS |
|
Style Transfer (SP)
|
100% |
24993
32.1 IPS |
|
Style Transfer (HP)
|
100% |
232276
298.6 IPS |
|
Style Transfer (Q)
|
96% |
294823
380.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
5866
216.6 IPS |
|
Image Super-Resolution (HP)
|
100% |
49257
1.82 KIPS |
|
Image Super-Resolution (Q)
|
99% |
84161
3.11 KIPS |
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
Text Classification (HP)
|
100% |
6066
8.10 KIPS |
|
Text Classification (Q)
|
93% |
6125
8.22 KIPS |
|
Machine Translation (SP)
|
100% |
3911
67.4 IPS |
|
Machine Translation (HP)
|
100% |
16572
285.5 IPS |
|
Machine Translation (Q)
|
98% |
18032
311.6 IPS |