samsung SM-S918B
Geekbench ML Score
644
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | dmrtdmrt |
| Upload Date | September 23 2024 02:10 PM |
| Views | 3 |
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% |
557
59.7 IPS |
|
|
Image Classification (I8)
|
81% |
509
54.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
846
5.23 IPS |
|
|
Image Segmentation (F16)
|
100% |
842
5.20 IPS |
|
|
Image Segmentation (I8)
|
89% |
902
5.57 IPS |
|
|
Pose Estimation (F32)
|
100% |
313
1.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
307
1.24 IPS |
|
|
Pose Estimation (I8)
|
80% |
152
0.62 IPS |
|
|
Object Detection (F32)
|
100% |
569
20.0 IPS |
|
|
Object Detection (F16)
|
100% |
572
20.1 IPS |
|
|
Object Detection (I8)
|
52% |
594
20.9 IPS |
|
|
Face Detection (F32)
|
100% |
804
9.24 IPS |
|
|
Face Detection (F16)
|
100% |
807
9.27 IPS |
|
|
Face Detection (I8)
|
75% |
689
7.92 IPS |
|
|
Text Classification (F32)
|
100% |
1208
477.7 IPS |
|
|
Text Classification (F16)
|
100% |
1230
486.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1109
171.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1117
172.2 IPS |
