samsung SM-S918U
Geekbench ML Score
656
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 11 2023 09:11 PM |
| Views | 3 |
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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
552
59.1 IPS |
|
|
Image Classification (F16)
|
100% |
553
59.3 IPS |
|
|
Image Classification (I8)
|
81% |
523
56.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
843
5.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
845
5.22 IPS |
|
|
Image Segmentation (I8)
|
89% |
912
5.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
326
1.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
322
1.30 IPS |
|
|
Pose Estimation (I8)
|
80% |
152
0.61 IPS |
|
|
Object Detection (F32)
|
100% |
620
21.8 IPS |
|
|
Object Detection (F16)
|
100% |
612
21.5 IPS |
|
|
Object Detection (I8)
|
52% |
594
20.9 IPS |
|
|
Face Detection (F32)
|
100% |
829
9.52 IPS |
|
|
Face Detection (F16)
|
100% |
813
9.34 IPS |
|
|
Face Detection (I8)
|
75% |
695
7.98 IPS |
|
|
Text Classification (F32)
|
100% |
1229
486.1 IPS |
|
|
Text Classification (F16)
|
100% |
1257
497.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1130
174.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1109
171.0 IPS |
