Upload Date | August 23 2024 01:35 AM |
Views | 1 |
System Information | |
---|---|
Operating System | Android 14 |
Model | vivo V2352A |
Model ID | vivo V2352A |
Motherboard | pineapple |
Governor | walt |
CPU Information | |
---|---|
Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
Base Frequency | 2.02 GHz |
Cluster 1 | 3 Cores @ 2.02 GHz |
Cluster 2 | 4 Cores @ 2.80 GHz |
Cluster 3 | 1 Core @ 3.01 GHz |
Memory Information | |
---|---|
Size | 11.03 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | GPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
375
70.2 IPS |
|
Image Classification (F16)
|
100% |
644
120.4 IPS |
|
Image Classification (I8)
|
99% |
624
116.8 IPS |
|
Image Segmentation (F32)
|
100% |
483
8.07 IPS |
|
Image Segmentation (F16)
|
100% |
974
16.3 IPS |
|
Image Segmentation (I8)
|
98% |
1081
18.0 IPS |
|
Pose Estimation (F32)
|
100% |
624
0.76 IPS |
|
Pose Estimation (F16)
|
100% |
976
1.18 IPS |
|
Pose Estimation (I8)
|
100% |
970
1.17 IPS |
|
Object Detection (F32)
|
100% |
217
16.2 IPS |
|
Object Detection (F16)
|
100% |
222
16.6 IPS |
|
Object Detection (I8)
|
62% |
266
19.9 IPS |
|
Face Detection (F32)
|
100% |
1103
13.1 IPS |
|
Face Detection (F16)
|
97% |
1688
20.1 IPS |
|
Face Detection (I8)
|
86% |
1407
16.7 IPS |
|
Depth Estimation (F32)
|
100% |
825
6.40 IPS |
|
Depth Estimation (F16)
|
100% |
1335
10.4 IPS |
|
Depth Estimation (I8)
|
95% |
1312
10.2 IPS |
|
Style Transfer (F32)
|
100% |
2318
3.05 IPS |
|
Style Transfer (F16)
|
100% |
3816
5.02 IPS |
|
Style Transfer (I8)
|
98% |
3432
4.51 IPS |
|
Image Super-Resolution (F32)
|
100% |
294
10.5 IPS |
|
Image Super-Resolution (F16)
|
100% |
473
16.9 IPS |
|
Image Super-Resolution (I8)
|
98% |
469
16.7 IPS |
|
Text Classification (F32)
|
100% |
175
251.4 IPS |
|
Text Classification (F16)
|
100% |
175
251.0 IPS |
|
Text Classification (I8)
|
92% |
297
427.0 IPS |
|
Machine Translation (F32)
|
100% |
334
6.15 IPS |
|
Machine Translation (F16)
|
100% |
333
6.13 IPS |
|
Machine Translation (I8)
|
64% |
381
7.01 IPS |