samsung SM-S908B
Geekbench ML Score
299
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 07 2022 10:19 AM |
| Views | 4 |
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% |
216
23.2 IPS |
|
|
Image Classification (F16)
|
100% |
226
24.2 IPS |
|
|
Image Classification (I8)
|
81% |
137
14.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
433
2.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
423
2.61 IPS |
|
|
Image Segmentation (I8)
|
89% |
516
3.19 IPS |
|
|
Pose Estimation (F32)
|
100% |
209
0.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
207
0.84 IPS |
|
|
Pose Estimation (I8)
|
80% |
156
0.63 IPS |
|
|
Object Detection (F32)
|
100% |
263
9.25 IPS |
|
|
Object Detection (F16)
|
100% |
253
8.89 IPS |
|
|
Object Detection (I8)
|
52% |
201
7.07 IPS |
|
|
Face Detection (F32)
|
100% |
419
4.82 IPS |
|
|
Face Detection (F16)
|
100% |
422
4.84 IPS |
|
|
Face Detection (I8)
|
75% |
337
3.88 IPS |
|
|
Text Classification (F32)
|
100% |
294
116.3 IPS |
|
|
Text Classification (F16)
|
100% |
333
131.8 IPS |
|
|
Machine Translation (F32)
|
100% |
575
88.6 IPS |
|
|
Machine Translation (F16)
|
100% |
576
88.7 IPS |
