samsung SM-S908B
Geekbench ML Score
438
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 13 2022 06:12 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 | 7.12 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
368
39.4 IPS |
|
|
Image Classification (F16)
|
100% |
138
14.8 IPS |
|
|
Image Classification (I8)
|
81% |
438
46.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
551
3.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
561
3.46 IPS |
|
|
Image Segmentation (I8)
|
89% |
779
4.81 IPS |
|
|
Pose Estimation (F32)
|
100% |
280
1.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
276
1.12 IPS |
|
|
Pose Estimation (I8)
|
80% |
130
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
216
7.58 IPS |
|
|
Object Detection (F16)
|
100% |
218
7.63 IPS |
|
|
Object Detection (I8)
|
52% |
485
17.0 IPS |
|
|
Face Detection (F32)
|
100% |
437
5.02 IPS |
|
|
Face Detection (F16)
|
100% |
416
4.78 IPS |
|
|
Face Detection (I8)
|
75% |
592
6.80 IPS |
|
|
Text Classification (F32)
|
100% |
1110
439.0 IPS |
|
|
Text Classification (F16)
|
100% |
1125
444.8 IPS |
|
|
Machine Translation (F32)
|
100% |
962
148.2 IPS |
|
|
Machine Translation (F16)
|
100% |
978
150.7 IPS |
