samsung SM-S918U
Geekbench ML Score
649
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 19 2023 11:08 PM |
| Views | 4 |
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% |
562
60.3 IPS |
|
|
Image Classification (F16)
|
100% |
564
60.4 IPS |
|
|
Image Classification (I8)
|
81% |
502
53.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
845
5.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
841
5.20 IPS |
|
|
Image Segmentation (I8)
|
89% |
899
5.55 IPS |
|
|
Pose Estimation (F32)
|
100% |
317
1.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
308
1.25 IPS |
|
|
Pose Estimation (I8)
|
80% |
149
0.60 IPS |
|
|
Object Detection (F32)
|
100% |
629
22.1 IPS |
|
|
Object Detection (F16)
|
100% |
609
21.4 IPS |
|
|
Object Detection (I8)
|
52% |
573
20.1 IPS |
|
|
Face Detection (F32)
|
100% |
820
9.42 IPS |
|
|
Face Detection (F16)
|
100% |
824
9.46 IPS |
|
|
Face Detection (I8)
|
75% |
676
7.77 IPS |
|
|
Text Classification (F32)
|
100% |
1210
478.7 IPS |
|
|
Text Classification (F16)
|
100% |
1236
488.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1104
170.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1108
170.8 IPS |
