samsung SM-S908B
Geekbench ML Score
430
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 25 2022 12:46 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 | 10.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
348
37.3 IPS |
|
|
Image Classification (F16)
|
100% |
359
38.5 IPS |
|
|
Image Classification (I8)
|
81% |
173
18.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
627
3.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
620
3.83 IPS |
|
|
Image Segmentation (I8)
|
89% |
779
4.81 IPS |
|
|
Pose Estimation (F32)
|
100% |
269
1.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
253
1.02 IPS |
|
|
Pose Estimation (I8)
|
80% |
232
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
434
15.2 IPS |
|
|
Object Detection (F16)
|
100% |
410
14.4 IPS |
|
|
Object Detection (I8)
|
52% |
260
9.13 IPS |
|
|
Face Detection (F32)
|
100% |
673
7.73 IPS |
|
|
Face Detection (F16)
|
100% |
680
7.81 IPS |
|
|
Face Detection (I8)
|
75% |
475
5.46 IPS |
|
|
Text Classification (F32)
|
100% |
317
125.5 IPS |
|
|
Text Classification (F16)
|
100% |
345
136.3 IPS |
|
|
Machine Translation (F32)
|
100% |
987
152.1 IPS |
|
|
Machine Translation (F16)
|
100% |
986
152.0 IPS |
