samsung SM-S918U
Geekbench ML Score
610
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 17 2023 06:03 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
608
65.1 IPS |
|
|
Image Classification (F16)
|
100% |
602
64.5 IPS |
|
|
Image Classification (I8)
|
81% |
229
24.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
992
6.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
972
6.00 IPS |
|
|
Image Segmentation (I8)
|
89% |
1085
6.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
400
1.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
381
1.54 IPS |
|
|
Pose Estimation (I8)
|
80% |
303
1.23 IPS |
|
|
Object Detection (F32)
|
100% |
637
22.3 IPS |
|
|
Object Detection (F16)
|
100% |
637
22.4 IPS |
|
|
Object Detection (I8)
|
52% |
394
13.8 IPS |
|
|
Face Detection (F32)
|
100% |
1070
12.3 IPS |
|
|
Face Detection (F16)
|
100% |
1052
12.1 IPS |
|
|
Face Detection (I8)
|
75% |
696
8.00 IPS |
|
|
Text Classification (F32)
|
100% |
374
147.9 IPS |
|
|
Text Classification (F16)
|
100% |
370
146.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1094
168.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1087
167.6 IPS |
