samsung SM-S908B
Geekbench ML Score
434
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Kosst_Amojan |
| Upload Date | April 03 2022 01:34 PM |
| 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% |
394
42.2 IPS |
|
|
Image Classification (F16)
|
100% |
355
38.0 IPS |
|
|
Image Classification (I8)
|
81% |
224
24.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
669
4.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
665
4.11 IPS |
|
|
Image Segmentation (I8)
|
89% |
948
5.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
323
1.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
320
1.30 IPS |
|
|
Pose Estimation (I8)
|
80% |
258
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
454
15.9 IPS |
|
|
Object Detection (F16)
|
100% |
348
12.2 IPS |
|
|
Object Detection (I8)
|
52% |
297
10.4 IPS |
|
|
Face Detection (F32)
|
100% |
693
7.96 IPS |
|
|
Face Detection (F16)
|
100% |
677
7.78 IPS |
|
|
Face Detection (I8)
|
75% |
381
4.38 IPS |
|
|
Text Classification (F32)
|
100% |
337
133.3 IPS |
|
|
Text Classification (F16)
|
100% |
353
139.8 IPS |
|
|
Machine Translation (F32)
|
100% |
614
94.6 IPS |
|
|
Machine Translation (F16)
|
100% |
615
94.9 IPS |
