samsung SM-S908B
Geekbench ML Score
423
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 06 2022 02:36 PM |
| Views | 2 |
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 | 10.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
343
36.8 IPS |
|
|
Image Classification (F16)
|
100% |
348
37.3 IPS |
|
|
Image Classification (I8)
|
81% |
171
18.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
602
3.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
610
3.77 IPS |
|
|
Image Segmentation (I8)
|
89% |
785
4.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
330
1.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
313
1.27 IPS |
|
|
Pose Estimation (I8)
|
80% |
231
0.93 IPS |
|
|
Object Detection (F32)
|
100% |
430
15.1 IPS |
|
|
Object Detection (F16)
|
100% |
433
15.2 IPS |
|
|
Object Detection (I8)
|
52% |
234
8.23 IPS |
|
|
Face Detection (F32)
|
100% |
667
7.66 IPS |
|
|
Face Detection (F16)
|
100% |
671
7.71 IPS |
|
|
Face Detection (I8)
|
75% |
447
5.14 IPS |
|
|
Text Classification (F32)
|
100% |
271
107.1 IPS |
|
|
Text Classification (F16)
|
100% |
254
100.4 IPS |
|
|
Machine Translation (F32)
|
100% |
989
152.4 IPS |
|
|
Machine Translation (F16)
|
100% |
978
150.7 IPS |
