samsung SM-S918U
Geekbench ML Score
639
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 05 2023 05:02 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-S918U |
| Model ID | samsung SM-S918U |
| 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 |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
558
59.8 IPS |
|
|
Image Classification (F16)
|
100% |
557
59.6 IPS |
|
|
Image Classification (I8)
|
81% |
493
52.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
831
5.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
848
5.24 IPS |
|
|
Image Segmentation (I8)
|
89% |
888
5.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
307
1.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
305
1.24 IPS |
|
|
Pose Estimation (I8)
|
80% |
146
0.59 IPS |
|
|
Object Detection (F32)
|
100% |
607
21.3 IPS |
|
|
Object Detection (F16)
|
100% |
610
21.4 IPS |
|
|
Object Detection (I8)
|
52% |
569
20.0 IPS |
|
|
Face Detection (F32)
|
100% |
811
9.32 IPS |
|
|
Face Detection (F16)
|
100% |
812
9.33 IPS |
|
|
Face Detection (I8)
|
75% |
659
7.57 IPS |
|
|
Text Classification (F32)
|
100% |
1190
470.6 IPS |
|
|
Text Classification (F16)
|
100% |
1194
472.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1097
169.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1090
168.1 IPS |
