samsung SM-S908B
Geekbench ML Score
437
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 26 2022 03:31 PM |
| Views | 2 |
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 | 10.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
355
38.0 IPS |
|
|
Image Classification (F16)
|
100% |
348
37.3 IPS |
|
|
Image Classification (I8)
|
81% |
179
19.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
640
3.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
634
3.92 IPS |
|
|
Image Segmentation (I8)
|
89% |
806
4.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
315
1.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
308
1.25 IPS |
|
|
Pose Estimation (I8)
|
80% |
242
0.98 IPS |
|
|
Object Detection (F32)
|
100% |
424
14.9 IPS |
|
|
Object Detection (F16)
|
100% |
437
15.3 IPS |
|
|
Object Detection (I8)
|
52% |
243
8.52 IPS |
|
|
Face Detection (F32)
|
100% |
685
7.87 IPS |
|
|
Face Detection (F16)
|
100% |
672
7.73 IPS |
|
|
Face Detection (I8)
|
75% |
491
5.64 IPS |
|
|
Text Classification (F32)
|
100% |
292
115.4 IPS |
|
|
Text Classification (F16)
|
100% |
299
118.1 IPS |
|
|
Machine Translation (F32)
|
100% |
995
153.4 IPS |
|
|
Machine Translation (F16)
|
100% |
993
153.0 IPS |
