samsung SM-S918B
Geekbench ML Score
644
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 22 2023 09:16 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 10.80 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
561
60.1 IPS |
|
|
Image Classification (F16)
|
100% |
438
47.0 IPS |
|
|
Image Classification (I8)
|
81% |
514
55.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
843
5.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
848
5.23 IPS |
|
|
Image Segmentation (I8)
|
89% |
894
5.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
328
1.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
321
1.30 IPS |
|
|
Pose Estimation (I8)
|
80% |
150
0.61 IPS |
|
|
Object Detection (F32)
|
100% |
613
21.5 IPS |
|
|
Object Detection (F16)
|
100% |
603
21.2 IPS |
|
|
Object Detection (I8)
|
52% |
591
20.7 IPS |
|
|
Face Detection (F32)
|
100% |
820
9.42 IPS |
|
|
Face Detection (F16)
|
100% |
824
9.47 IPS |
|
|
Face Detection (I8)
|
75% |
682
7.83 IPS |
|
|
Text Classification (F32)
|
100% |
1192
471.4 IPS |
|
|
Text Classification (F16)
|
100% |
1234
488.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1133
174.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1100
169.5 IPS |
