samsung SM-S918B
Geekbench ML Score
570
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | NoobNotFound |
| Upload Date | August 18 2024 06:36 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S918B |
| Model ID | samsung SM-S918B |
| 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 | 10.77 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
557
59.7 IPS |
|
|
Image Classification (F16)
|
100% |
519
55.6 IPS |
|
|
Image Classification (I8)
|
81% |
491
52.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
865
5.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
833
5.14 IPS |
|
|
Image Segmentation (I8)
|
89% |
888
5.48 IPS |
|
|
Pose Estimation (F32)
|
100% |
309
1.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
294
1.19 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
370
13.0 IPS |
|
|
Object Detection (F16)
|
100% |
496
17.4 IPS |
|
|
Object Detection (I8)
|
52% |
479
16.8 IPS |
|
|
Face Detection (F32)
|
100% |
641
7.37 IPS |
|
|
Face Detection (F16)
|
100% |
601
6.91 IPS |
|
|
Face Detection (I8)
|
75% |
587
6.75 IPS |
|
|
Text Classification (F32)
|
100% |
998
394.9 IPS |
|
|
Text Classification (F16)
|
100% |
1123
444.1 IPS |
|
|
Machine Translation (F32)
|
100% |
940
144.8 IPS |
|
|
Machine Translation (F16)
|
100% |
956
147.4 IPS |
