samsung SM-S918U1
Geekbench ML Score
632
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 03 2023 03:49 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-S918U1 |
| Model ID | samsung SM-S918U1 |
| 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 | NNAPI |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
555
59.4 IPS |
|
|
Image Classification (F16)
|
100% |
574
61.5 IPS |
|
|
Image Classification (I8)
|
81% |
473
50.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
829
5.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
832
5.14 IPS |
|
|
Image Segmentation (I8)
|
89% |
859
5.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
299
1.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
296
1.20 IPS |
|
|
Pose Estimation (I8)
|
80% |
146
0.59 IPS |
|
|
Object Detection (F32)
|
100% |
600
21.1 IPS |
|
|
Object Detection (F16)
|
100% |
601
21.1 IPS |
|
|
Object Detection (I8)
|
52% |
570
20.0 IPS |
|
|
Face Detection (F32)
|
100% |
792
9.10 IPS |
|
|
Face Detection (F16)
|
100% |
811
9.32 IPS |
|
|
Face Detection (I8)
|
75% |
648
7.45 IPS |
|
|
Text Classification (F32)
|
100% |
1180
466.8 IPS |
|
|
Text Classification (F16)
|
100% |
1192
471.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1087
167.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1090
168.0 IPS |
