Upload Date | January 16 2025 08:36 PM |
Views | 3 |
System Information | |
---|---|
Operating System | Android 14 |
Model | samsung SM-X716B |
Model ID | samsung SM-X716B |
Motherboard | kalama |
Governor | walt |
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 | 2.02 GHz |
Cluster 1 | 3 Cores @ 2.02 GHz |
Cluster 2 | 4 Cores @ 2.80 GHz |
Cluster 3 | 1 Core @ 3.36 GHz |
Memory Information | |
---|---|
Size | 10.91 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | GPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
656
122.8 IPS |
|
Image Classification (F16)
|
100% |
921
172.4 IPS |
|
Image Classification (I8)
|
99% |
682
127.6 IPS |
|
Image Segmentation (F32)
|
100% |
842
14.1 IPS |
|
Image Segmentation (F16)
|
100% |
1150
19.2 IPS |
|
Image Segmentation (I8)
|
98% |
946
15.8 IPS |
|
Pose Estimation (F32)
|
100% |
970
1.17 IPS |
|
Pose Estimation (F16)
|
100% |
1392
1.69 IPS |
|
Pose Estimation (I8)
|
100% |
1389
1.68 IPS |
|
Object Detection (F32)
|
100% |
269
20.1 IPS |
|
Object Detection (F16)
|
100% |
394
29.4 IPS |
|
Object Detection (I8)
|
62% |
406
30.3 IPS |
|
Face Detection (F32)
|
100% |
2242
26.7 IPS |
|
Face Detection (F16)
|
97% |
3030
36.0 IPS |
|
Face Detection (I8)
|
86% |
2883
34.3 IPS |
|
Depth Estimation (F32)
|
100% |
1500
11.6 IPS |
|
Depth Estimation (F16)
|
100% |
2946
22.8 IPS |
|
Depth Estimation (I8)
|
95% |
2856
22.1 IPS |
|
Style Transfer (F32)
|
100% |
3788
4.98 IPS |
|
Style Transfer (F16)
|
100% |
8562
11.3 IPS |
|
Style Transfer (I8)
|
98% |
8532
11.2 IPS |
|
Image Super-Resolution (F32)
|
100% |
456
16.3 IPS |
|
Image Super-Resolution (F16)
|
100% |
392
14.0 IPS |
|
Image Super-Resolution (I8)
|
98% |
392
14.0 IPS |
|
Text Classification (F32)
|
100% |
462
664.4 IPS |
|
Text Classification (F16)
|
100% |
460
661.0 IPS |
|
Text Classification (I8)
|
92% |
684
982.3 IPS |
|
Machine Translation (F32)
|
100% |
710
13.1 IPS |
|
Machine Translation (F16)
|
100% |
691
12.7 IPS |
|
Machine Translation (I8)
|
64% |
747
13.7 IPS |