samsung SM-S908B
Geekbench ML Score
826
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 15 2022 12:00 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 | 10.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
280
30.1 IPS |
|
|
Image Classification (F16)
|
100% |
671
71.9 IPS |
|
|
Image Classification (I8)
|
80% |
591
63.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1295
8.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
3058
18.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
2806
17.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
495
2.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
1105
4.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
1107
4.48 IPS |
|
|
Object Detection (F32)
|
100% |
243
8.52 IPS |
|
|
Object Detection (F16)
|
100% |
496
17.4 IPS |
|
|
Object Detection (I8)
|
54% |
468
16.4 IPS |
|
|
Face Detection (F32)
|
100% |
1107
12.7 IPS |
|
|
Face Detection (F16)
|
97% |
2153
24.7 IPS |
|
|
Face Detection (I8)
|
76% |
2043
23.5 IPS |
|
|
Text Classification (F32)
|
100% |
279
110.3 IPS |
|
|
Text Classification (F16)
|
98% |
497
196.6 IPS |
|
|
Machine Translation (F32)
|
100% |
989
152.5 IPS |
|
|
Machine Translation (F16)
|
100% |
955
147.2 IPS |
