samsung SM-S908B
Geekbench ML Score
831
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 25 2022 05:17 PM |
| Views | 5 |
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 | 10.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
289
31.0 IPS |
|
|
Image Classification (F16)
|
100% |
737
79.0 IPS |
|
|
Image Classification (I8)
|
80% |
658
70.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1104
6.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
3017
18.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
2785
17.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
483
1.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
1093
4.42 IPS |
|
|
Pose Estimation (I8)
|
80% |
1103
4.46 IPS |
|
|
Object Detection (F32)
|
100% |
255
8.95 IPS |
|
|
Object Detection (F16)
|
100% |
485
17.0 IPS |
|
|
Object Detection (I8)
|
54% |
458
16.1 IPS |
|
|
Face Detection (F32)
|
100% |
1132
13.0 IPS |
|
|
Face Detection (F16)
|
97% |
2128
24.4 IPS |
|
|
Face Detection (I8)
|
76% |
2019
23.2 IPS |
|
|
Text Classification (F32)
|
100% |
309
122.4 IPS |
|
|
Text Classification (F16)
|
98% |
505
199.6 IPS |
|
|
Machine Translation (F32)
|
100% |
960
147.9 IPS |
|
|
Machine Translation (F16)
|
100% |
960
147.9 IPS |
