samsung SM-S908B
Geekbench ML Score
433
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 02 2022 10:35 PM |
| 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% |
346
37.0 IPS |
|
|
Image Classification (F16)
|
100% |
344
36.9 IPS |
|
|
Image Classification (I8)
|
81% |
176
18.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
608
3.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
624
3.86 IPS |
|
|
Image Segmentation (I8)
|
89% |
826
5.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
313
1.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
301
1.22 IPS |
|
|
Pose Estimation (I8)
|
80% |
239
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
426
15.0 IPS |
|
|
Object Detection (F16)
|
100% |
421
14.8 IPS |
|
|
Object Detection (I8)
|
52% |
230
8.07 IPS |
|
|
Face Detection (F32)
|
100% |
646
7.43 IPS |
|
|
Face Detection (F16)
|
100% |
649
7.46 IPS |
|
|
Face Detection (I8)
|
75% |
475
5.46 IPS |
|
|
Text Classification (F32)
|
100% |
319
126.2 IPS |
|
|
Text Classification (F16)
|
100% |
329
130.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1004
154.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1003
154.6 IPS |
