samsung SC-51B
Geekbench ML Score
398
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2021 05:33 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | samsung SC-51B |
| Model ID | samsung SC-51B |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.19 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
405
43.4 IPS |
|
|
Image Classification (F16)
|
100% |
318
34.1 IPS |
|
|
Image Classification (I8)
|
81% |
184
19.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
616
3.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
587
3.63 IPS |
|
|
Image Segmentation (I8)
|
89% |
866
5.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
285
1.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
275
1.11 IPS |
|
|
Pose Estimation (I8)
|
80% |
255
1.03 IPS |
|
|
Object Detection (F32)
|
100% |
329
11.6 IPS |
|
|
Object Detection (F16)
|
100% |
344
12.1 IPS |
|
|
Object Detection (I8)
|
52% |
225
7.91 IPS |
|
|
Face Detection (F32)
|
100% |
571
6.56 IPS |
|
|
Face Detection (F16)
|
100% |
582
6.69 IPS |
|
|
Face Detection (I8)
|
75% |
445
5.12 IPS |
|
|
Text Classification (F32)
|
100% |
329
129.9 IPS |
|
|
Text Classification (F16)
|
100% |
328
129.9 IPS |
|
|
Machine Translation (F32)
|
100% |
647
99.6 IPS |
|
|
Machine Translation (F16)
|
100% |
648
99.8 IPS |
