samsung SM-S918W
Geekbench ML Score
586
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 31 2023 02:22 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-S918W |
| Model ID | samsung SM-S918W |
| 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
546
58.5 IPS |
|
|
Image Classification (F16)
|
100% |
568
60.9 IPS |
|
|
Image Classification (I8)
|
81% |
215
23.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
919
5.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
912
5.64 IPS |
|
|
Image Segmentation (I8)
|
89% |
1026
6.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
407
1.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
401
1.62 IPS |
|
|
Pose Estimation (I8)
|
80% |
282
1.14 IPS |
|
|
Object Detection (F32)
|
100% |
587
20.6 IPS |
|
|
Object Detection (F16)
|
100% |
583
20.5 IPS |
|
|
Object Detection (I8)
|
52% |
430
15.1 IPS |
|
|
Face Detection (F32)
|
100% |
990
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
988
11.4 IPS |
|
|
Face Detection (I8)
|
75% |
708
8.13 IPS |
|
|
Text Classification (F32)
|
100% |
361
142.6 IPS |
|
|
Text Classification (F16)
|
100% |
375
148.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1042
160.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1040
160.4 IPS |
