Upload Date | August 18 2024 03:53 AM |
Views | 1 |
System Information | |
---|---|
Operating System | Android 14 |
Model | Vivo X90 |
Model ID | vivo V2241A |
Motherboard | k6985v1_64 |
CPU Information | |
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Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
Base Frequency | 1.80 GHz |
Cluster 1 | 4 Cores @ 1.80 GHz |
Cluster 2 | 3 Cores @ 2.85 GHz |
Cluster 3 | 1 Core @ 3.05 GHz |
Memory Information | |
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Size | 7.16 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | GPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
281
52.6 IPS |
|
Image Classification (F16)
|
100% |
263
49.2 IPS |
|
Image Classification (I8)
|
97% |
270
50.6 IPS |
|
Image Segmentation (F32)
|
100% |
1080
18.0 IPS |
|
Image Segmentation (F16)
|
100% |
1206
20.1 IPS |
|
Image Segmentation (I8)
|
98% |
1215
20.3 IPS |
|
Pose Estimation (F32)
|
100% |
740
0.90 IPS |
|
Pose Estimation (F16)
|
100% |
1125
1.36 IPS |
|
Pose Estimation (I8)
|
100% |
1116
1.35 IPS |
|
Object Detection (F32)
|
100% |
369
27.6 IPS |
|
Object Detection (F16)
|
100% |
409
30.6 IPS |
|
Object Detection (I8)
|
62% |
412
30.8 IPS |
|
Face Detection (F32)
|
100% |
1844
21.9 IPS |
|
Face Detection (F16)
|
98% |
1944
23.1 IPS |
|
Face Detection (I8)
|
86% |
1787
21.3 IPS |
|
Depth Estimation (F32)
|
100% |
1368
10.6 IPS |
|
Depth Estimation (F16)
|
100% |
1616
12.5 IPS |
|
Depth Estimation (I8)
|
95% |
1566
12.1 IPS |
|
Style Transfer (F32)
|
100% |
3633
4.78 IPS |
|
Style Transfer (F16)
|
100% |
5141
6.76 IPS |
|
Style Transfer (I8)
|
98% |
5125
6.74 IPS |
|
Image Super-Resolution (F32)
|
100% |
725
25.9 IPS |
|
Image Super-Resolution (F16)
|
100% |
863
30.8 IPS |
|
Image Super-Resolution (I8)
|
98% |
866
30.9 IPS |
|
Text Classification (F32)
|
100% |
286
410.7 IPS |
|
Text Classification (F16)
|
100% |
276
396.6 IPS |
|
Text Classification (I8)
|
92% |
425
611.2 IPS |
|
Machine Translation (F32)
|
100% |
434
7.99 IPS |
|
Machine Translation (F16)
|
100% |
440
8.10 IPS |
|
Machine Translation (I8)
|
64% |
436
8.03 IPS |