samsung SM-S908B
Geekbench ML Score
382
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 10 2022 07:03 PM |
| Views | 2 |
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 | 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% |
351
37.6 IPS |
|
|
Image Classification (F16)
|
100% |
332
35.5 IPS |
|
|
Image Classification (I8)
|
81% |
172
18.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
507
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
499
3.08 IPS |
|
|
Image Segmentation (I8)
|
89% |
667
4.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
282
1.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
283
1.15 IPS |
|
|
Pose Estimation (I8)
|
80% |
202
0.82 IPS |
|
|
Object Detection (F32)
|
100% |
370
13.0 IPS |
|
|
Object Detection (F16)
|
100% |
372
13.1 IPS |
|
|
Object Detection (I8)
|
52% |
231
8.12 IPS |
|
|
Face Detection (F32)
|
100% |
588
6.75 IPS |
|
|
Face Detection (F16)
|
100% |
587
6.74 IPS |
|
|
Face Detection (I8)
|
75% |
473
5.44 IPS |
|
|
Text Classification (F32)
|
100% |
285
112.9 IPS |
|
|
Text Classification (F16)
|
100% |
261
103.1 IPS |
|
|
Machine Translation (F32)
|
100% |
748
115.3 IPS |
|
|
Machine Translation (F16)
|
100% |
749
115.5 IPS |
