| Upload Date | December 08 2022 03:30 PM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy S20 5G |
| Model ID | samsung SM-G981N |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 10.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
460
49.3 IPS |
|
|
Image Classification (F16)
|
100% |
464
49.8 IPS |
|
|
Image Classification (I8)
|
81% |
190
20.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
648
4.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
636
3.93 IPS |
|
|
Image Segmentation (I8)
|
89% |
872
5.39 IPS |
|
|
Pose Estimation (F32)
|
100% |
266
1.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
264
1.07 IPS |
|
|
Pose Estimation (I8)
|
80% |
244
0.99 IPS |
|
|
Object Detection (F32)
|
100% |
459
16.1 IPS |
|
|
Object Detection (F16)
|
100% |
417
14.6 IPS |
|
|
Object Detection (I8)
|
52% |
331
11.6 IPS |
|
|
Face Detection (F32)
|
100% |
611
7.02 IPS |
|
|
Face Detection (F16)
|
100% |
612
7.03 IPS |
|
|
Face Detection (I8)
|
75% |
543
6.24 IPS |
|
|
Text Classification (F32)
|
100% |
393
155.6 IPS |
|
|
Text Classification (F16)
|
100% |
397
156.9 IPS |
|
|
Machine Translation (F32)
|
100% |
560
86.2 IPS |
|
|
Machine Translation (F16)
|
100% |
554
85.3 IPS |
Compare
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