samsung SM-S908B
Geekbench ML Score
842
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 28 2022 07:39 AM |
| Views | 5 |
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 | 7.13 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
287
30.7 IPS |
|
|
Image Classification (F16)
|
100% |
748
80.1 IPS |
|
|
Image Classification (I8)
|
80% |
617
66.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1241
7.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
3020
18.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
2795
17.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
443
1.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
1095
4.43 IPS |
|
|
Pose Estimation (I8)
|
80% |
1090
4.41 IPS |
|
|
Object Detection (F32)
|
100% |
254
8.92 IPS |
|
|
Object Detection (F16)
|
100% |
491
17.2 IPS |
|
|
Object Detection (I8)
|
54% |
496
17.4 IPS |
|
|
Face Detection (F32)
|
100% |
1168
13.4 IPS |
|
|
Face Detection (F16)
|
97% |
2356
27.1 IPS |
|
|
Face Detection (I8)
|
76% |
2170
24.9 IPS |
|
|
Text Classification (F32)
|
100% |
287
113.7 IPS |
|
|
Text Classification (F16)
|
98% |
516
204.2 IPS |
|
|
Machine Translation (F32)
|
100% |
979
150.9 IPS |
|
|
Machine Translation (F16)
|
100% |
973
150.0 IPS |
