samsung SM-S918B
Geekbench ML Score
530
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 16 2026 12:08 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.79 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
572
61.3 IPS |
|
|
Image Classification (F16)
|
100% |
565
60.5 IPS |
|
|
Image Classification (I8)
|
81% |
215
23.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
911
5.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
875
5.41 IPS |
|
|
Image Segmentation (I8)
|
89% |
1045
6.45 IPS |
|
|
Pose Estimation (F32)
|
100% |
381
1.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
365
1.48 IPS |
|
|
Pose Estimation (I8)
|
80% |
238
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
465
16.3 IPS |
|
|
Object Detection (F16)
|
100% |
448
15.7 IPS |
|
|
Object Detection (I8)
|
52% |
370
13.0 IPS |
|
|
Face Detection (F32)
|
100% |
764
8.78 IPS |
|
|
Face Detection (F16)
|
100% |
872
10.0 IPS |
|
|
Face Detection (I8)
|
75% |
660
7.58 IPS |
|
|
Text Classification (F32)
|
100% |
331
130.8 IPS |
|
|
Text Classification (F16)
|
100% |
331
130.9 IPS |
|
|
Machine Translation (F32)
|
100% |
915
141.0 IPS |
|
|
Machine Translation (F16)
|
100% |
914
140.8 IPS |
