Upload Date | March 12 2025 06:16 AM |
Views | 4 |
System Information | |
---|---|
Operating System | Android 15 |
Model | vivo V2417A |
Model ID | vivo V2417A |
Motherboard | k6989v1_64 |
CPU Information | |
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Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
Base Frequency | 2.00 GHz |
Cluster 1 | 4 Cores @ 2.00 GHz |
Cluster 2 | 3 Cores @ 2.85 GHz |
Cluster 3 | 1 Core @ 3.40 GHz |
Memory Information | |
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Size | 11.06 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
913
170.8 IPS |
|
Image Classification (F16)
|
100% |
899
168.3 IPS |
|
Image Classification (I8)
|
97% |
1517
283.9 IPS |
|
Image Segmentation (F32)
|
100% |
1153
19.3 IPS |
|
Image Segmentation (F16)
|
100% |
1153
19.3 IPS |
|
Image Segmentation (I8)
|
98% |
1320
22.0 IPS |
|
Pose Estimation (F32)
|
100% |
1438
1.74 IPS |
|
Pose Estimation (F16)
|
100% |
1412
1.71 IPS |
|
Pose Estimation (I8)
|
100% |
6192
7.50 IPS |
|
Object Detection (F32)
|
100% |
775
57.8 IPS |
|
Object Detection (F16)
|
100% |
776
57.9 IPS |
|
Object Detection (I8)
|
61% |
1344
100.3 IPS |
|
Face Detection (F32)
|
100% |
1738
20.7 IPS |
|
Face Detection (F16)
|
100% |
1748
20.8 IPS |
|
Face Detection (I8)
|
86% |
2566
30.5 IPS |
|
Depth Estimation (F32)
|
100% |
1503
11.7 IPS |
|
Depth Estimation (F16)
|
100% |
1511
11.7 IPS |
|
Depth Estimation (I8)
|
95% |
2608
20.2 IPS |
|
Style Transfer (F32)
|
100% |
2244
2.95 IPS |
|
Style Transfer (F16)
|
100% |
2158
2.84 IPS |
|
Style Transfer (I8)
|
98% |
4905
6.45 IPS |
|
Image Super-Resolution (F32)
|
100% |
950
33.9 IPS |
|
Image Super-Resolution (F16)
|
100% |
955
34.1 IPS |
|
Image Super-Resolution (I8)
|
98% |
2556
91.3 IPS |
|
Text Classification (F32)
|
100% |
850
1.22 KIPS |
|
Text Classification (F16)
|
100% |
787
1.13 KIPS |
|
Text Classification (I8)
|
92% |
573
823.6 IPS |
|
Machine Translation (F32)
|
100% |
1451
26.7 IPS |
|
Machine Translation (F16)
|
100% |
1416
26.1 IPS |
|
Machine Translation (I8)
|
64% |
538
9.90 IPS |