Upload Date | August 28 2024 06:23 AM |
Views | 2 |
System Information | |
---|---|
Operating System | Android 14 |
Model | samsung SM-F956B |
Model ID | samsung SM-F956B |
Motherboard | pineapple |
Governor | walt |
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 | 2.26 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 @ 3.40 GHz |
Memory Information | |
---|---|
Size | 10.86 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | GPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
689
128.8 IPS |
|
Image Classification (F16)
|
100% |
1133
212.0 IPS |
|
Image Classification (I8)
|
99% |
1072
200.7 IPS |
|
Image Segmentation (F32)
|
100% |
826
13.8 IPS |
|
Image Segmentation (F16)
|
100% |
1286
21.5 IPS |
|
Image Segmentation (I8)
|
98% |
1269
21.2 IPS |
|
Pose Estimation (F32)
|
100% |
489
0.59 IPS |
|
Pose Estimation (F16)
|
100% |
1044
1.26 IPS |
|
Pose Estimation (I8)
|
100% |
1037
1.26 IPS |
|
Object Detection (F32)
|
100% |
330
24.6 IPS |
|
Object Detection (F16)
|
100% |
411
30.7 IPS |
|
Object Detection (I8)
|
62% |
406
30.3 IPS |
|
Face Detection (F32)
|
100% |
1243
14.8 IPS |
|
Face Detection (F16)
|
97% |
2230
26.5 IPS |
|
Face Detection (I8)
|
86% |
2133
25.4 IPS |
|
Depth Estimation (F32)
|
100% |
801
6.21 IPS |
|
Depth Estimation (F16)
|
100% |
1631
12.7 IPS |
|
Depth Estimation (I8)
|
95% |
1531
11.9 IPS |
|
Style Transfer (F32)
|
100% |
2572
3.38 IPS |
|
Style Transfer (F16)
|
100% |
4303
5.66 IPS |
|
Style Transfer (I8)
|
98% |
4321
5.68 IPS |
|
Image Super-Resolution (F32)
|
100% |
267
9.55 IPS |
|
Image Super-Resolution (F16)
|
100% |
734
26.2 IPS |
|
Image Super-Resolution (I8)
|
98% |
701
25.0 IPS |
|
Text Classification (F32)
|
100% |
247
354.8 IPS |
|
Text Classification (F16)
|
100% |
248
356.9 IPS |
|
Text Classification (I8)
|
92% |
400
574.9 IPS |
|
Machine Translation (F32)
|
100% |
469
8.63 IPS |
|
Machine Translation (F16)
|
100% |
411
7.56 IPS |
|
Machine Translation (I8)
|
64% |
399
7.34 IPS |