samsung SM-S908B
Geekbench ML Score
846
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 05 2022 09:48 PM |
| Views | 4 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
286
30.7 IPS |
|
|
Image Classification (F16)
|
100% |
775
83.0 IPS |
|
|
Image Classification (I8)
|
80% |
627
67.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1322
8.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
3013
18.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
2814
17.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
407
1.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
1105
4.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
1088
4.40 IPS |
|
|
Object Detection (F32)
|
100% |
243
8.51 IPS |
|
|
Object Detection (F16)
|
100% |
516
18.1 IPS |
|
|
Object Detection (I8)
|
54% |
501
17.6 IPS |
|
|
Face Detection (F32)
|
100% |
1131
13.0 IPS |
|
|
Face Detection (F16)
|
97% |
2660
30.6 IPS |
|
|
Face Detection (I8)
|
76% |
2163
24.9 IPS |
|
|
Text Classification (F32)
|
100% |
285
112.5 IPS |
|
|
Text Classification (F16)
|
98% |
518
204.8 IPS |
|
|
Machine Translation (F32)
|
100% |
972
149.8 IPS |
|
|
Machine Translation (F16)
|
100% |
952
146.7 IPS |
