samsung SM-S918U
Geekbench ML Score
612
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 04 2023 01:32 AM |
| 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 | 6.91 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
539
57.8 IPS |
|
|
Image Classification (F16)
|
100% |
517
55.4 IPS |
|
|
Image Classification (I8)
|
81% |
486
52.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
803
4.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
771
4.76 IPS |
|
|
Image Segmentation (I8)
|
89% |
891
5.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
278
1.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
279
1.13 IPS |
|
|
Pose Estimation (I8)
|
80% |
146
0.59 IPS |
|
|
Object Detection (F32)
|
100% |
572
20.1 IPS |
|
|
Object Detection (F16)
|
100% |
536
18.8 IPS |
|
|
Object Detection (I8)
|
52% |
538
18.9 IPS |
|
|
Face Detection (F32)
|
100% |
791
9.08 IPS |
|
|
Face Detection (F16)
|
100% |
732
8.41 IPS |
|
|
Face Detection (I8)
|
75% |
669
7.69 IPS |
|
|
Text Classification (F32)
|
100% |
1218
481.6 IPS |
|
|
Text Classification (F16)
|
100% |
1246
492.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1026
158.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1085
167.3 IPS |
