Upload Date | August 20 2024 01:50 PM |
Views | 1 |
System Information | |
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Operating System | Android 14 |
Model | samsung SM-S928B |
Model ID | samsung SM-S928B |
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 | 10.81 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | GPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
837
156.6 IPS |
|
Image Classification (F16)
|
100% |
779
145.8 IPS |
|
Image Classification (I8)
|
99% |
924
172.8 IPS |
|
Image Segmentation (F32)
|
100% |
831
13.9 IPS |
|
Image Segmentation (F16)
|
100% |
1115
18.6 IPS |
|
Image Segmentation (I8)
|
98% |
1336
22.3 IPS |
|
Pose Estimation (F32)
|
100% |
1081
1.31 IPS |
|
Pose Estimation (F16)
|
100% |
2641
3.20 IPS |
|
Pose Estimation (I8)
|
100% |
2655
3.22 IPS |
|
Object Detection (F32)
|
100% |
287
21.4 IPS |
|
Object Detection (F16)
|
100% |
431
32.2 IPS |
|
Object Detection (I8)
|
62% |
436
32.6 IPS |
|
Face Detection (F32)
|
100% |
2451
29.1 IPS |
|
Face Detection (F16)
|
97% |
2659
31.6 IPS |
|
Face Detection (I8)
|
86% |
1719
20.4 IPS |
|
Depth Estimation (F32)
|
100% |
1884
14.6 IPS |
|
Depth Estimation (F16)
|
100% |
4043
31.4 IPS |
|
Depth Estimation (I8)
|
95% |
3961
30.7 IPS |
|
Style Transfer (F32)
|
100% |
7276
9.57 IPS |
|
Style Transfer (F16)
|
100% |
11646
15.3 IPS |
|
Style Transfer (I8)
|
98% |
11651
15.3 IPS |
|
Image Super-Resolution (F32)
|
100% |
567
20.3 IPS |
|
Image Super-Resolution (F16)
|
100% |
1151
41.1 IPS |
|
Image Super-Resolution (I8)
|
98% |
1121
40.1 IPS |
|
Text Classification (F32)
|
100% |
431
620.1 IPS |
|
Text Classification (F16)
|
100% |
432
620.8 IPS |
|
Text Classification (I8)
|
92% |
705
1.01 KIPS |
|
Machine Translation (F32)
|
100% |
708
13.0 IPS |
|
Machine Translation (F16)
|
100% |
695
12.8 IPS |
|
Machine Translation (I8)
|
64% |
807
14.8 IPS |