samsung SM-S908B
Geekbench ML Score
286
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 05 2022 10:43 PM |
| Views | 1 |
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 | 7.13 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
131
14.0 IPS |
|
|
Image Classification (F16)
|
100% |
120
12.8 IPS |
|
|
Image Classification (I8)
|
81% |
110
11.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
453
2.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
442
2.73 IPS |
|
|
Image Segmentation (I8)
|
89% |
737
4.55 IPS |
|
|
Pose Estimation (F32)
|
100% |
290
1.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
289
1.17 IPS |
|
|
Pose Estimation (I8)
|
80% |
214
0.87 IPS |
|
|
Object Detection (F32)
|
100% |
169
5.94 IPS |
|
|
Object Detection (F16)
|
100% |
181
6.35 IPS |
|
|
Object Detection (I8)
|
52% |
189
6.63 IPS |
|
|
Face Detection (F32)
|
100% |
352
4.04 IPS |
|
|
Face Detection (F16)
|
100% |
338
3.89 IPS |
|
|
Face Detection (I8)
|
75% |
339
3.89 IPS |
|
|
Text Classification (F32)
|
100% |
338
133.8 IPS |
|
|
Text Classification (F16)
|
100% |
256
101.2 IPS |
|
|
Machine Translation (F32)
|
100% |
713
109.8 IPS |
|
|
Machine Translation (F16)
|
100% |
714
110.0 IPS |
