samsung SM-S918U
Geekbench ML Score
625
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 07 2023 02:47 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 | 6.91 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
554
59.4 IPS |
|
|
Image Classification (F16)
|
100% |
552
59.1 IPS |
|
|
Image Classification (I8)
|
81% |
484
51.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
825
5.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
782
4.83 IPS |
|
|
Image Segmentation (I8)
|
89% |
819
5.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
306
1.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
291
1.18 IPS |
|
|
Pose Estimation (I8)
|
80% |
144
0.58 IPS |
|
|
Object Detection (F32)
|
100% |
612
21.5 IPS |
|
|
Object Detection (F16)
|
100% |
610
21.4 IPS |
|
|
Object Detection (I8)
|
52% |
569
20.0 IPS |
|
|
Face Detection (F32)
|
100% |
821
9.43 IPS |
|
|
Face Detection (F16)
|
100% |
789
9.07 IPS |
|
|
Face Detection (I8)
|
75% |
641
7.36 IPS |
|
|
Text Classification (F32)
|
100% |
1147
453.7 IPS |
|
|
Text Classification (F16)
|
100% |
1163
460.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1067
164.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1072
165.2 IPS |
