samsung SM-S908B
Geekbench ML Score
436
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 07 2022 01:50 PM |
| Views | 4 |
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% |
393
42.1 IPS |
|
|
Image Classification (F16)
|
100% |
354
38.0 IPS |
|
|
Image Classification (I8)
|
81% |
177
19.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
611
3.77 IPS |
|
|
Image Segmentation (F16)
|
100% |
607
3.75 IPS |
|
|
Image Segmentation (I8)
|
89% |
737
4.55 IPS |
|
|
Pose Estimation (F32)
|
100% |
318
1.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
309
1.25 IPS |
|
|
Pose Estimation (I8)
|
80% |
238
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
419
14.7 IPS |
|
|
Object Detection (F16)
|
100% |
426
14.9 IPS |
|
|
Object Detection (I8)
|
52% |
245
8.60 IPS |
|
|
Face Detection (F32)
|
100% |
672
7.72 IPS |
|
|
Face Detection (F16)
|
100% |
677
7.78 IPS |
|
|
Face Detection (I8)
|
75% |
481
5.53 IPS |
|
|
Text Classification (F32)
|
100% |
294
116.1 IPS |
|
|
Text Classification (F16)
|
100% |
334
132.1 IPS |
|
|
Machine Translation (F32)
|
100% |
998
153.9 IPS |
|
|
Machine Translation (F16)
|
100% |
991
152.7 IPS |
