samsung SM-S901U
Geekbench ML Score
493
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 28 2022 10:49 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-S901U |
| Model ID | samsung SM-S901U |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.06 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
471
50.5 IPS |
|
|
Image Classification (F16)
|
100% |
477
51.1 IPS |
|
|
Image Classification (I8)
|
81% |
195
20.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
762
4.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
762
4.70 IPS |
|
|
Image Segmentation (I8)
|
89% |
872
5.39 IPS |
|
|
Pose Estimation (F32)
|
100% |
290
1.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
277
1.12 IPS |
|
|
Pose Estimation (I8)
|
80% |
232
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
503
17.6 IPS |
|
|
Object Detection (F16)
|
100% |
523
18.4 IPS |
|
|
Object Detection (I8)
|
52% |
323
11.3 IPS |
|
|
Face Detection (F32)
|
100% |
796
9.14 IPS |
|
|
Face Detection (F16)
|
100% |
762
8.75 IPS |
|
|
Face Detection (I8)
|
75% |
540
6.21 IPS |
|
|
Text Classification (F32)
|
100% |
349
138.2 IPS |
|
|
Text Classification (F16)
|
100% |
334
132.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1064
164.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1056
162.7 IPS |
