samsung SM-S908B
Geekbench ML Score
467
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | July 12 2022 02:05 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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% |
359
38.4 IPS |
|
|
Image Classification (F16)
|
100% |
288
30.8 IPS |
|
|
Image Classification (I8)
|
81% |
448
48.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
572
3.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
582
3.60 IPS |
|
|
Image Segmentation (I8)
|
89% |
791
4.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
297
1.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
288
1.17 IPS |
|
|
Pose Estimation (I8)
|
80% |
135
0.55 IPS |
|
|
Object Detection (F32)
|
100% |
253
8.86 IPS |
|
|
Object Detection (F16)
|
100% |
231
8.10 IPS |
|
|
Object Detection (I8)
|
52% |
500
17.6 IPS |
|
|
Face Detection (F32)
|
100% |
443
5.09 IPS |
|
|
Face Detection (F16)
|
100% |
443
5.09 IPS |
|
|
Face Detection (I8)
|
75% |
592
6.80 IPS |
|
|
Text Classification (F32)
|
100% |
1106
437.3 IPS |
|
|
Text Classification (F16)
|
100% |
1105
437.0 IPS |
|
|
Machine Translation (F32)
|
100% |
961
148.1 IPS |
|
|
Machine Translation (F16)
|
100% |
962
148.3 IPS |
