samsung SM-S908B
Geekbench ML Score
276
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 02 2023 11:50 AM |
| Views | 1 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
245
26.2 IPS |
|
|
Image Classification (F16)
|
100% |
232
24.8 IPS |
|
|
Image Classification (I8)
|
81% |
147
15.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
411
2.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
401
2.48 IPS |
|
|
Image Segmentation (I8)
|
89% |
507
3.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
193
0.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
198
0.80 IPS |
|
|
Pose Estimation (I8)
|
80% |
174
0.70 IPS |
|
|
Object Detection (F32)
|
100% |
272
9.54 IPS |
|
|
Object Detection (F16)
|
100% |
264
9.25 IPS |
|
|
Object Detection (I8)
|
52% |
202
7.10 IPS |
|
|
Face Detection (F32)
|
100% |
417
4.79 IPS |
|
|
Face Detection (F16)
|
100% |
424
4.87 IPS |
|
|
Face Detection (I8)
|
75% |
331
3.80 IPS |
|
|
Text Classification (F32)
|
100% |
221
87.2 IPS |
|
|
Text Classification (F16)
|
100% |
216
85.5 IPS |
|
|
Machine Translation (F32)
|
100% |
368
56.7 IPS |
|
|
Machine Translation (F16)
|
100% |
367
56.5 IPS |
