samsung SM-S908B
Geekbench ML Score
348
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 22 2022 08:47 PM |
| 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% |
373
40.0 IPS |
|
|
Image Classification (F16)
|
100% |
128
13.7 IPS |
|
|
Image Classification (I8)
|
81% |
166
17.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
509
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
481
2.97 IPS |
|
|
Image Segmentation (I8)
|
89% |
760
4.69 IPS |
|
|
Pose Estimation (F32)
|
100% |
329
1.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
317
1.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
247
1.00 IPS |
|
|
Object Detection (F32)
|
100% |
205
7.18 IPS |
|
|
Object Detection (F16)
|
100% |
178
6.26 IPS |
|
|
Object Detection (I8)
|
52% |
217
7.60 IPS |
|
|
Face Detection (F32)
|
100% |
445
5.12 IPS |
|
|
Face Detection (F16)
|
100% |
479
5.50 IPS |
|
|
Face Detection (I8)
|
75% |
443
5.09 IPS |
|
|
Text Classification (F32)
|
100% |
274
108.3 IPS |
|
|
Text Classification (F16)
|
100% |
259
102.5 IPS |
|
|
Machine Translation (F32)
|
100% |
998
153.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1000
154.2 IPS |
