Upload Date | July 18 2024 04:07 PM |
Views | 1 |
System Information | |
---|---|
Operating System | Android 14 |
Model | Samsung Galaxy S23 |
Model ID | samsung SM-S911B |
Motherboard | kalama |
Governor | walt |
CPU Information | |
---|---|
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 | 6.89 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
520
97.3 IPS |
|
Image Classification (F16)
|
100% |
509
95.3 IPS |
|
Image Classification (I8)
|
97% |
800
149.7 IPS |
|
Image Segmentation (F32)
|
100% |
602
10.0 IPS |
|
Image Segmentation (F16)
|
100% |
607
10.1 IPS |
|
Image Segmentation (I8)
|
98% |
733
12.2 IPS |
|
Pose Estimation (F32)
|
100% |
1099
1.33 IPS |
|
Pose Estimation (F16)
|
100% |
1094
1.33 IPS |
|
Pose Estimation (I8)
|
100% |
4455
5.39 IPS |
|
Object Detection (F32)
|
100% |
501
37.4 IPS |
|
Object Detection (F16)
|
100% |
510
38.1 IPS |
|
Object Detection (I8)
|
61% |
1150
85.8 IPS |
|
Face Detection (F32)
|
100% |
1105
13.1 IPS |
|
Face Detection (F16)
|
100% |
1105
13.1 IPS |
|
Face Detection (I8)
|
86% |
1678
20.0 IPS |
|
Depth Estimation (F32)
|
100% |
1048
8.13 IPS |
|
Depth Estimation (F16)
|
100% |
1059
8.22 IPS |
|
Depth Estimation (I8)
|
95% |
1881
14.6 IPS |
|
Style Transfer (F32)
|
100% |
1795
2.36 IPS |
|
Style Transfer (F16)
|
100% |
1850
2.43 IPS |
|
Style Transfer (I8)
|
98% |
3898
5.13 IPS |
|
Image Super-Resolution (F32)
|
100% |
684
24.4 IPS |
|
Image Super-Resolution (F16)
|
100% |
649
23.2 IPS |
|
Image Super-Resolution (I8)
|
98% |
2011
71.8 IPS |
|
Text Classification (F32)
|
100% |
614
881.8 IPS |
|
Text Classification (F16)
|
100% |
501
720.6 IPS |
|
Text Classification (I8)
|
92% |
445
639.8 IPS |
|
Machine Translation (F32)
|
100% |
1066
19.6 IPS |
|
Machine Translation (F16)
|
100% |
986
18.2 IPS |
|
Machine Translation (I8)
|
64% |
495
9.11 IPS |