samsung SM-S918B
Geekbench ML Score
681
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 10 2023 08:56 PM |
| Views | 1 |
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 | 6.91 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
560
60.0 IPS |
|
|
Image Classification (F16)
|
100% |
567
60.8 IPS |
|
|
Image Classification (I8)
|
81% |
542
58.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
857
5.30 IPS |
|
|
Image Segmentation (F16)
|
100% |
865
5.34 IPS |
|
|
Image Segmentation (I8)
|
89% |
974
6.01 IPS |
|
|
Pose Estimation (F32)
|
100% |
345
1.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
335
1.36 IPS |
|
|
Pose Estimation (I8)
|
80% |
162
0.66 IPS |
|
|
Object Detection (F32)
|
100% |
618
21.7 IPS |
|
|
Object Detection (F16)
|
100% |
607
21.3 IPS |
|
|
Object Detection (I8)
|
52% |
621
21.8 IPS |
|
|
Face Detection (F32)
|
100% |
816
9.38 IPS |
|
|
Face Detection (F16)
|
100% |
829
9.52 IPS |
|
|
Face Detection (I8)
|
75% |
747
8.58 IPS |
|
|
Text Classification (F32)
|
100% |
1315
520.3 IPS |
|
|
Text Classification (F16)
|
100% |
1327
524.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1197
184.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1187
183.0 IPS |
