Upload Date | July 15 2024 01:29 PM |
Views | 1 |
System Information | |
---|---|
Operating System | Android 14 |
Model | vivo V2158 |
Model ID | vivo V2158 |
Motherboard | k6893v1_64_k419 |
CPU Information | |
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Name | ARM MT6893Z/CZA |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
Base Frequency | 2.00 GHz |
Cluster 1 | 4 Cores @ 2.00 GHz |
Cluster 2 | 3 Cores @ 2.60 GHz |
Cluster 3 | 1 Core @ 3.00 GHz |
Memory Information | |
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Size | 11.22 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
250
46.8 IPS |
|
Image Classification (F16)
|
100% |
201
37.6 IPS |
|
Image Classification (I8)
|
97% |
365
68.2 IPS |
|
Image Segmentation (F32)
|
100% |
302
5.04 IPS |
|
Image Segmentation (F16)
|
100% |
304
5.07 IPS |
|
Image Segmentation (I8)
|
98% |
397
6.62 IPS |
|
Pose Estimation (F32)
|
100% |
494
0.60 IPS |
|
Pose Estimation (F16)
|
100% |
485
0.59 IPS |
|
Pose Estimation (I8)
|
100% |
2065
2.50 IPS |
|
Object Detection (F32)
|
100% |
232
17.3 IPS |
|
Object Detection (F16)
|
100% |
235
17.6 IPS |
|
Object Detection (I8)
|
61% |
498
37.2 IPS |
|
Face Detection (F32)
|
100% |
553
6.58 IPS |
|
Face Detection (F16)
|
100% |
548
6.52 IPS |
|
Face Detection (I8)
|
86% |
993
11.8 IPS |
|
Depth Estimation (F32)
|
100% |
485
3.76 IPS |
|
Depth Estimation (F16)
|
100% |
507
3.93 IPS |
|
Depth Estimation (I8)
|
95% |
1062
8.23 IPS |
|
Style Transfer (F32)
|
100% |
999
1.31 IPS |
|
Style Transfer (F16)
|
100% |
1002
1.32 IPS |
|
Style Transfer (I8)
|
98% |
2047
2.69 IPS |
|
Image Super-Resolution (F32)
|
100% |
287
10.3 IPS |
|
Image Super-Resolution (F16)
|
100% |
256
9.14 IPS |
|
Image Super-Resolution (I8)
|
98% |
723
25.8 IPS |
|
Text Classification (F32)
|
100% |
238
342.7 IPS |
|
Text Classification (F16)
|
100% |
236
339.8 IPS |
|
Text Classification (I8)
|
92% |
240
344.3 IPS |
|
Machine Translation (F32)
|
100% |
438
8.06 IPS |
|
Machine Translation (F16)
|
100% |
452
8.32 IPS |
|
Machine Translation (I8)
|
64% |
228
4.19 IPS |