samsung SM-S908B
Geekbench ML Score
334
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 24 2022 02:08 PM |
| Views | 1 |
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% |
281
30.1 IPS |
|
|
Image Classification (F16)
|
100% |
291
31.2 IPS |
|
|
Image Classification (I8)
|
81% |
181
19.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
471
2.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
458
2.83 IPS |
|
|
Image Segmentation (I8)
|
89% |
749
4.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
254
1.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
252
1.02 IPS |
|
|
Pose Estimation (I8)
|
80% |
185
0.75 IPS |
|
|
Object Detection (F32)
|
100% |
300
10.5 IPS |
|
|
Object Detection (F16)
|
100% |
275
9.65 IPS |
|
|
Object Detection (I8)
|
52% |
226
7.94 IPS |
|
|
Face Detection (F32)
|
100% |
404
4.65 IPS |
|
|
Face Detection (F16)
|
100% |
416
4.78 IPS |
|
|
Face Detection (I8)
|
75% |
395
4.53 IPS |
|
|
Text Classification (F32)
|
100% |
286
113.3 IPS |
|
|
Text Classification (F16)
|
100% |
290
114.8 IPS |
|
|
Machine Translation (F32)
|
100% |
567
87.4 IPS |
|
|
Machine Translation (F16)
|
100% |
565
87.1 IPS |
