samsung SM-S918U
Geekbench ML Score
640
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 26 2023 01:34 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-S918U |
| Model ID | samsung SM-S918U |
| 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 | 6.91 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
566
60.6 IPS |
|
|
Image Classification (F16)
|
100% |
564
60.4 IPS |
|
|
Image Classification (I8)
|
81% |
489
52.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
838
5.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
840
5.19 IPS |
|
|
Image Segmentation (I8)
|
89% |
869
5.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
313
1.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
312
1.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
144
0.58 IPS |
|
|
Object Detection (F32)
|
100% |
608
21.3 IPS |
|
|
Object Detection (F16)
|
100% |
620
21.8 IPS |
|
|
Object Detection (I8)
|
52% |
569
20.0 IPS |
|
|
Face Detection (F32)
|
100% |
821
9.43 IPS |
|
|
Face Detection (F16)
|
100% |
826
9.50 IPS |
|
|
Face Detection (I8)
|
75% |
647
7.43 IPS |
|
|
Text Classification (F32)
|
100% |
1182
467.7 IPS |
|
|
Text Classification (F16)
|
100% |
1190
470.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1099
169.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1084
167.0 IPS |
