samsung SM-S918N
Geekbench ML Score
627
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 14 2023 01:02 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S918N |
| Model ID | samsung SM-S918N |
| 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 | 10.81 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
560
60.0 IPS |
|
|
Image Classification (F16)
|
100% |
436
46.7 IPS |
|
|
Image Classification (I8)
|
81% |
524
56.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
841
5.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
842
5.20 IPS |
|
|
Image Segmentation (I8)
|
89% |
930
5.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
312
1.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
307
1.24 IPS |
|
|
Pose Estimation (I8)
|
80% |
156
0.63 IPS |
|
|
Object Detection (F32)
|
100% |
470
16.5 IPS |
|
|
Object Detection (F16)
|
100% |
476
16.7 IPS |
|
|
Object Detection (I8)
|
52% |
594
20.9 IPS |
|
|
Face Detection (F32)
|
100% |
803
9.23 IPS |
|
|
Face Detection (F16)
|
100% |
801
9.20 IPS |
|
|
Face Detection (I8)
|
75% |
703
8.08 IPS |
|
|
Text Classification (F32)
|
100% |
1208
477.9 IPS |
|
|
Text Classification (F16)
|
100% |
1253
495.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1129
174.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1118
172.3 IPS |
