samsung SM-S918U
Geekbench ML Score
2390
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 07 2023 03:38 PM |
| Views | 2 |
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 | 6.91 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1707
182.9 IPS |
|
|
Image Classification (F16)
|
100% |
2566
274.9 IPS |
|
|
Image Classification (I8)
|
80% |
2334
250.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
5159
31.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
8550
52.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
7785
48.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
2573
10.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
4753
19.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
4716
19.1 IPS |
|
|
Object Detection (F32)
|
100% |
858
30.1 IPS |
|
|
Object Detection (F16)
|
99% |
999
35.1 IPS |
|
|
Object Detection (I8)
|
53% |
900
31.6 IPS |
|
|
Face Detection (F32)
|
100% |
3919
45.0 IPS |
|
|
Face Detection (F16)
|
97% |
6297
72.3 IPS |
|
|
Face Detection (I8)
|
75% |
5222
60.0 IPS |
|
|
Text Classification (F32)
|
100% |
769
304.2 IPS |
|
|
Text Classification (F16)
|
98% |
856
338.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1083
166.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1083
166.9 IPS |
