samsung SM-S908B
Geekbench ML Score
349
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 11 2022 08:07 AM |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
187
20.0 IPS |
|
|
Image Classification (F16)
|
100% |
155
16.6 IPS |
|
|
Image Classification (I8)
|
81% |
211
22.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
548
3.38 IPS |
|
|
Image Segmentation (F16)
|
100% |
516
3.19 IPS |
|
|
Image Segmentation (I8)
|
89% |
727
4.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
314
1.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
278
1.12 IPS |
|
|
Pose Estimation (I8)
|
80% |
253
1.02 IPS |
|
|
Object Detection (F32)
|
100% |
267
9.39 IPS |
|
|
Object Detection (F16)
|
100% |
246
8.63 IPS |
|
|
Object Detection (I8)
|
52% |
230
8.06 IPS |
|
|
Face Detection (F32)
|
100% |
492
5.66 IPS |
|
|
Face Detection (F16)
|
100% |
465
5.34 IPS |
|
|
Face Detection (I8)
|
75% |
390
4.48 IPS |
|
|
Text Classification (F32)
|
100% |
263
103.8 IPS |
|
|
Text Classification (F16)
|
100% |
319
126.2 IPS |
|
|
Machine Translation (F32)
|
100% |
827
127.5 IPS |
|
|
Machine Translation (F16)
|
100% |
826
127.3 IPS |
