samsung SM-S906B
Geekbench ML Score
413
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 06 2021 02:22 AM |
| Views | 54 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-S906B |
| Model ID | samsung SM-S906B |
| 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 | 1.73 GHz |
| Cluster 1 | 4 Cores @ 1.73 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 6.87 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
214
23.0 IPS |
|
|
Image Classification (F16)
|
100% |
190
20.3 IPS |
|
|
Image Classification (I8)
|
81% |
368
39.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
592
3.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
589
3.64 IPS |
|
|
Image Segmentation (I8)
|
89% |
722
4.46 IPS |
|
|
Pose Estimation (F32)
|
100% |
250
1.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
240
0.97 IPS |
|
|
Pose Estimation (I8)
|
80% |
119
0.48 IPS |
|
|
Object Detection (F32)
|
100% |
226
7.93 IPS |
|
|
Object Detection (F16)
|
100% |
246
8.63 IPS |
|
|
Object Detection (I8)
|
52% |
443
15.5 IPS |
|
|
Face Detection (F32)
|
100% |
414
4.76 IPS |
|
|
Face Detection (F16)
|
100% |
409
4.70 IPS |
|
|
Face Detection (I8)
|
75% |
540
6.20 IPS |
|
|
Text Classification (F32)
|
100% |
1026
405.8 IPS |
|
|
Text Classification (F16)
|
100% |
1028
406.8 IPS |
|
|
Machine Translation (F32)
|
100% |
901
138.8 IPS |
|
|
Machine Translation (F16)
|
100% |
893
137.6 IPS |
