samsung SM-S908E
Geekbench ML Score
411
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | July 16 2022 05:23 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-S908E |
| Model ID | samsung SM-S908E |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 9.94 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
403
43.2 IPS |
|
|
Image Classification (F16)
|
100% |
380
40.7 IPS |
|
|
Image Classification (I8)
|
81% |
183
19.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
617
3.81 IPS |
|
|
Image Segmentation (F16)
|
100% |
615
3.80 IPS |
|
|
Image Segmentation (I8)
|
89% |
651
4.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
265
1.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
252
1.02 IPS |
|
|
Pose Estimation (I8)
|
80% |
182
0.74 IPS |
|
|
Object Detection (F32)
|
100% |
391
13.7 IPS |
|
|
Object Detection (F16)
|
100% |
407
14.3 IPS |
|
|
Object Detection (I8)
|
52% |
271
9.52 IPS |
|
|
Face Detection (F32)
|
100% |
647
7.43 IPS |
|
|
Face Detection (F16)
|
100% |
648
7.44 IPS |
|
|
Face Detection (I8)
|
75% |
438
5.03 IPS |
|
|
Text Classification (F32)
|
100% |
311
122.9 IPS |
|
|
Text Classification (F16)
|
100% |
322
127.3 IPS |
|
|
Machine Translation (F32)
|
100% |
832
128.3 IPS |
|
|
Machine Translation (F16)
|
100% |
833
128.4 IPS |
