samsung SM-S918B
Geekbench ML Score
2490
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 03 2025 05:43 AM |
| Views | 5 |
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 | 6.89 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1776
190.3 IPS |
|
|
Image Classification (F16)
|
100% |
2693
288.6 IPS |
|
|
Image Classification (I8)
|
80% |
2409
258.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
5383
33.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
9074
56.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
8655
53.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
2621
10.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
4902
19.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
4872
19.7 IPS |
|
|
Object Detection (F32)
|
100% |
799
28.0 IPS |
|
|
Object Detection (F16)
|
99% |
1053
37.0 IPS |
|
|
Object Detection (I8)
|
53% |
1042
36.6 IPS |
|
|
Face Detection (F32)
|
100% |
3806
43.7 IPS |
|
|
Face Detection (F16)
|
97% |
6583
75.6 IPS |
|
|
Face Detection (I8)
|
75% |
5474
62.9 IPS |
|
|
Text Classification (F32)
|
100% |
734
290.5 IPS |
|
|
Text Classification (F16)
|
98% |
871
344.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1198
184.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1207
186.0 IPS |
