Upload Date | February 05 2025 12:57 PM |
Views | 6 |
System Information | |
---|---|
Operating System | Android 14 |
Model | OnePlus PJX110 |
Model ID | OnePlus PJX110 |
Motherboard | pineapple |
Governor | uag |
CPU Information | |
---|---|
Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
Base Frequency | 2.26 GHz |
Cluster 1 | 2 Cores @ 2.27 GHz |
Cluster 2 | 2 Cores @ 2.96 GHz |
Cluster 3 | 3 Cores @ 3.15 GHz |
Cluster 4 | 1 Core @ 3.30 GHz |
Memory Information | |
---|---|
Size | 22.69 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | NNAPI |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
207
38.8 IPS |
|
Image Classification (F16)
|
100% |
214
40.1 IPS |
|
Image Classification (I8)
|
97% |
543
101.6 IPS |
|
Image Segmentation (F32)
|
100% |
268
4.47 IPS |
|
Image Segmentation (F16)
|
100% |
272
4.54 IPS |
|
Image Segmentation (I8)
|
98% |
586
9.78 IPS |
|
Pose Estimation (F32)
|
100% |
377
0.46 IPS |
|
Pose Estimation (F16)
|
100% |
377
0.46 IPS |
|
Pose Estimation (I8)
|
100% |
1442
1.75 IPS |
|
Object Detection (F32)
|
100% |
232
17.3 IPS |
|
Object Detection (F16)
|
100% |
225
16.8 IPS |
|
Object Detection (I8)
|
61% |
674
50.3 IPS |
|
Face Detection (F32)
|
100% |
551
6.55 IPS |
|
Face Detection (F16)
|
100% |
549
6.52 IPS |
|
Face Detection (I8)
|
86% |
1215
14.4 IPS |
|
Depth Estimation (F32)
|
100% |
490
3.80 IPS |
|
Depth Estimation (F16)
|
100% |
489
3.80 IPS |
|
Depth Estimation (I8)
|
95% |
1347
10.4 IPS |
|
Style Transfer (F32)
|
100% |
784
1.03 IPS |
|
Style Transfer (F16)
|
100% |
782
1.03 IPS |
|
Style Transfer (I8)
|
98% |
1851
2.43 IPS |
|
Image Super-Resolution (F32)
|
100% |
270
9.64 IPS |
|
Image Super-Resolution (F16)
|
100% |
251
8.95 IPS |
|
Image Super-Resolution (I8)
|
98% |
1003
35.8 IPS |
|
Text Classification (F32)
|
100% |
198
284.0 IPS |
|
Text Classification (F16)
|
100% |
338
486.3 IPS |
|
Text Classification (I8)
|
92% |
549
789.0 IPS |
|
Machine Translation (F32)
|
100% |
532
9.79 IPS |
|
Machine Translation (F16)
|
100% |
531
9.77 IPS |
|
Machine Translation (I8)
|
64% |
320
5.89 IPS |