samsung SM-S908B
Geekbench ML Score
412
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 10 2022 01:07 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| 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 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 6.89 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
285
30.6 IPS |
|
|
Image Classification (F16)
|
100% |
253
27.1 IPS |
|
|
Image Classification (I8)
|
81% |
382
40.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
483
2.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
487
3.01 IPS |
|
|
Image Segmentation (I8)
|
89% |
896
5.54 IPS |
|
|
Pose Estimation (F32)
|
100% |
210
0.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
222
0.90 IPS |
|
|
Pose Estimation (I8)
|
0% |
231
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
621
21.8 IPS |
|
|
Object Detection (F16)
|
99% |
737
25.9 IPS |
|
|
Object Detection (I8)
|
52% |
269
9.44 IPS |
|
|
Face Detection (F32)
|
100% |
375
4.31 IPS |
|
|
Face Detection (F16)
|
100% |
355
4.08 IPS |
|
|
Face Detection (I8)
|
75% |
337
3.87 IPS |
|
|
Text Classification (F32)
|
100% |
590
233.4 IPS |
|
|
Text Classification (F16)
|
100% |
591
233.7 IPS |
|
|
Machine Translation (F32)
|
100% |
649
100.0 IPS |
|
|
Machine Translation (F16)
|
100% |
645
99.4 IPS |
