samsung SM-S918B
Geekbench ML Score
544
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 19 2023 02:51 AM |
| Views | 5 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
488
52.3 IPS |
|
|
Image Classification (F16)
|
100% |
480
51.4 IPS |
|
|
Image Classification (I8)
|
81% |
235
25.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
830
5.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
833
5.14 IPS |
|
|
Image Segmentation (I8)
|
89% |
930
5.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
387
1.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
388
1.57 IPS |
|
|
Pose Estimation (I8)
|
80% |
256
1.03 IPS |
|
|
Object Detection (F32)
|
100% |
546
19.2 IPS |
|
|
Object Detection (F16)
|
100% |
545
19.1 IPS |
|
|
Object Detection (I8)
|
52% |
419
14.7 IPS |
|
|
Face Detection (F32)
|
100% |
910
10.5 IPS |
|
|
Face Detection (F16)
|
100% |
920
10.6 IPS |
|
|
Face Detection (I8)
|
75% |
673
7.73 IPS |
|
|
Text Classification (F32)
|
100% |
346
136.7 IPS |
|
|
Text Classification (F16)
|
100% |
333
131.6 IPS |
|
|
Machine Translation (F32)
|
100% |
939
144.7 IPS |
|
|
Machine Translation (F16)
|
100% |
940
144.9 IPS |
