Upload Date | January 21 2025 11:48 PM |
Views | 3 |
System Information | |
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Operating System | Android 14 |
Model | samsung SM-M166P |
Model ID | samsung SM-M166P |
Motherboard | m16xm |
CPU Information | |
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Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
Base Frequency | 2.00 GHz |
Cluster 1 | 6 Cores @ 2.00 GHz |
Cluster 2 | 2 Cores @ 2.40 GHz |
Memory Information | |
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Size | 3.33 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | GPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
283
30.3 IPS |
|
Image Classification (F16)
|
100% |
468
50.1 IPS |
|
Image Classification (I8)
|
80% |
439
47.0 IPS |
|
Image Segmentation (F32)
|
100% |
637
3.93 IPS |
|
Image Segmentation (F16)
|
100% |
1183
7.31 IPS |
|
Image Segmentation (I8)
|
89% |
1152
7.11 IPS |
|
Pose Estimation (F32)
|
100% |
231
0.94 IPS |
|
Pose Estimation (F16)
|
100% |
547
2.21 IPS |
|
Pose Estimation (I8)
|
80% |
518
2.09 IPS |
|
Object Detection (F32)
|
100% |
262
9.20 IPS |
|
Object Detection (F16)
|
100% |
389
13.7 IPS |
|
Object Detection (I8)
|
54% |
402
14.1 IPS |
|
Face Detection (F32)
|
100% |
623
7.16 IPS |
|
Face Detection (F16)
|
97% |
1097
12.6 IPS |
|
Face Detection (I8)
|
75% |
1022
11.7 IPS |
|
Text Classification (F32)
|
100% |
204
80.6 IPS |
|
Text Classification (F16)
|
98% |
239
94.4 IPS |
|
Machine Translation (F32)
|
100% |
201
31.0 IPS |
|
Machine Translation (F16)
|
100% |
193
29.8 IPS |