samsung SM-S919O
Geekbench ML Score
508
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 18 2023 06:50 AM |
| Views | 70 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-S919O |
| Model ID | samsung SM-S919O |
| Motherboard | s5e9935 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 4 Cores @ 1.82 GHz |
| Cluster 2 | 4 Cores @ 2.59 GHz |
| Cluster 3 | 1 Core @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 6.66 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
518
55.5 IPS |
|
|
Image Classification (F16)
|
100% |
511
54.8 IPS |
|
|
Image Classification (I8)
|
81% |
177
19.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
766
4.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
757
4.67 IPS |
|
|
Image Segmentation (I8)
|
89% |
869
5.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
345
1.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
322
1.30 IPS |
|
|
Pose Estimation (I8)
|
80% |
253
1.02 IPS |
|
|
Object Detection (F32)
|
100% |
543
19.1 IPS |
|
|
Object Detection (F16)
|
100% |
541
19.0 IPS |
|
|
Object Detection (I8)
|
52% |
292
10.2 IPS |
|
|
Face Detection (F32)
|
100% |
886
10.2 IPS |
|
|
Face Detection (F16)
|
100% |
869
9.98 IPS |
|
|
Face Detection (I8)
|
75% |
489
5.62 IPS |
|
|
Text Classification (F32)
|
100% |
367
145.2 IPS |
|
|
Text Classification (F16)
|
100% |
363
143.5 IPS |
|
|
Machine Translation (F32)
|
100% |
961
148.1 IPS |
|
|
Machine Translation (F16)
|
100% |
958
147.6 IPS |
