samsung SM-S908B
Geekbench ML Score
542
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 27 2022 06:13 PM |
| Views | 2 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
436
46.7 IPS |
|
|
Image Classification (F16)
|
100% |
443
47.4 IPS |
|
|
Image Classification (I8)
|
81% |
438
47.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
669
4.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
672
4.15 IPS |
|
|
Image Segmentation (I8)
|
89% |
801
4.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
287
1.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
279
1.13 IPS |
|
|
Pose Estimation (I8)
|
80% |
139
0.56 IPS |
|
|
Object Detection (F32)
|
100% |
476
16.7 IPS |
|
|
Object Detection (F16)
|
100% |
478
16.8 IPS |
|
|
Object Detection (I8)
|
52% |
501
17.6 IPS |
|
|
Face Detection (F32)
|
100% |
572
6.57 IPS |
|
|
Face Detection (F16)
|
100% |
567
6.51 IPS |
|
|
Face Detection (I8)
|
75% |
600
6.90 IPS |
|
|
Text Classification (F32)
|
100% |
1124
444.6 IPS |
|
|
Text Classification (F16)
|
100% |
1129
446.4 IPS |
|
|
Machine Translation (F32)
|
100% |
974
150.1 IPS |
|
|
Machine Translation (F16)
|
100% |
974
150.1 IPS |
