samsung SM-S908B
Geekbench ML Score
447
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | July 12 2022 02:06 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-S908B |
| Model ID | samsung SM-S908B |
| Motherboard | s5e9925 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 4 Cores @ 1.82 GHz |
| Cluster 2 | 3 Cores @ 2.52 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.12 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
281
30.1 IPS |
|
|
Image Classification (F16)
|
100% |
263
28.2 IPS |
|
|
Image Classification (I8)
|
81% |
435
46.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
573
3.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
560
3.46 IPS |
|
|
Image Segmentation (I8)
|
89% |
762
4.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
276
1.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
276
1.12 IPS |
|
|
Pose Estimation (I8)
|
80% |
126
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
279
9.78 IPS |
|
|
Object Detection (F16)
|
100% |
271
9.52 IPS |
|
|
Object Detection (I8)
|
52% |
480
16.9 IPS |
|
|
Face Detection (F32)
|
100% |
410
4.71 IPS |
|
|
Face Detection (F16)
|
100% |
436
5.01 IPS |
|
|
Face Detection (I8)
|
75% |
576
6.62 IPS |
|
|
Text Classification (F32)
|
100% |
1043
412.5 IPS |
|
|
Text Classification (F16)
|
100% |
1008
398.5 IPS |
|
|
Machine Translation (F32)
|
100% |
887
136.7 IPS |
|
|
Machine Translation (F16)
|
100% |
878
135.3 IPS |
