Upload Date | November 19 2024 07:42 PM |
Views | 1 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device | ARM ARMv8 |
System Information | |
---|---|
Operating System | Android 15 |
Model | OPPO CPH2659 |
Model ID | OPPO CPH2659 |
Motherboard | k6991v1_64 |
CPU Information | |
---|---|
Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
Base Frequency | 2.40 GHz |
Cluster 1 | 4 Cores @ 2.40 GHz |
Cluster 2 | 3 Cores @ 3.30 GHz |
Cluster 3 | 1 Core @ 3.63 GHz |
Memory Information | |
---|---|
Size | 15.03 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1214
225.7 IPS |
|
Image Classification (HP)
|
100% |
1151
214.1 IPS |
|
Image Classification (Q)
|
100% |
1782
331.4 IPS |
|
Image Segmentation (SP)
|
100% |
1470
23.8 IPS |
|
Image Segmentation (HP)
|
100% |
1516
24.6 IPS |
|
Image Segmentation (Q)
|
98% |
2056
33.4 IPS |
|
Pose Estimation (SP)
|
100% |
2693
3.14 IPS |
|
Pose Estimation (HP)
|
100% |
2558
2.99 IPS |
|
Pose Estimation (Q)
|
84% |
4849
5.75 IPS |
|
Object Detection (SP)
|
98% |
998
79.5 IPS |
|
Object Detection (HP)
|
98% |
1023
81.4 IPS |
|
Object Detection (Q)
|
83% |
1392
112.4 IPS |
|
Face Detection (SP)
|
100% |
2416
28.7 IPS |
|
Face Detection (HP)
|
100% |
2404
28.6 IPS |
|
Face Detection (Q)
|
95% |
3188
38.1 IPS |
|
Depth Estimation (SP)
|
99% |
3004
23.2 IPS |
|
Depth Estimation (HP)
|
99% |
2994
23.1 IPS |
|
Depth Estimation (Q)
|
64% |
3828
35.1 IPS |
|
Style Transfer (SP)
|
89% |
5974
7.75 IPS |
|
Style Transfer (HP)
|
89% |
6035
7.83 IPS |
|
Style Transfer (Q)
|
98% |
10735
13.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
1319
48.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
1342
49.5 IPS |
|
Image Super-Resolution (Q)
|
97% |
2033
75.3 IPS |
|
Text Classification (SP)
|
100% |
548
732.1 IPS |
|
Text Classification (HP)
|
99% |
538
718.3 IPS |
|
Text Classification (Q)
|
88% |
664
895.9 IPS |
|
Machine Translation (SP)
|
100% |
1423
24.5 IPS |
|
Machine Translation (HP)
|
100% |
1462
25.2 IPS |
|
Machine Translation (Q)
|
50% |
393
13.9 IPS |