samsung SM-S918U
Geekbench ML Score
2457
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 11 2023 09:09 PM |
| Views | 3 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1817
194.6 IPS |
|
|
Image Classification (F16)
|
100% |
2858
306.2 IPS |
|
|
Image Classification (I8)
|
80% |
2455
263.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
5114
31.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
9210
56.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
8158
50.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
2589
10.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
4890
19.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
4848
19.6 IPS |
|
|
Object Detection (F32)
|
100% |
883
31.0 IPS |
|
|
Object Detection (F16)
|
99% |
1160
40.7 IPS |
|
|
Object Detection (I8)
|
53% |
1034
36.3 IPS |
|
|
Face Detection (F32)
|
100% |
3657
42.0 IPS |
|
|
Face Detection (F16)
|
97% |
5613
64.5 IPS |
|
|
Face Detection (I8)
|
75% |
4927
56.6 IPS |
|
|
Text Classification (F32)
|
100% |
745
294.8 IPS |
|
|
Text Classification (F16)
|
98% |
833
329.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1158
178.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1134
174.7 IPS |
