samsung SM-S919O
Geekbench ML Score
456
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 25 2023 06:33 AM |
| Views | 1120 |
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 0 part 3405 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% |
467
50.0 IPS |
|
|
Image Classification (F16)
|
100% |
469
50.2 IPS |
|
|
Image Classification (I8)
|
81% |
177
19.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
763
4.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
758
4.68 IPS |
|
|
Image Segmentation (I8)
|
89% |
746
4.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
245
0.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
236
0.95 IPS |
|
|
Pose Estimation (I8)
|
80% |
187
0.76 IPS |
|
|
Object Detection (F32)
|
100% |
555
19.5 IPS |
|
|
Object Detection (F16)
|
100% |
544
19.1 IPS |
|
|
Object Detection (I8)
|
52% |
287
10.1 IPS |
|
|
Face Detection (F32)
|
100% |
875
10.0 IPS |
|
|
Face Detection (F16)
|
100% |
837
9.61 IPS |
|
|
Face Detection (I8)
|
75% |
476
5.47 IPS |
|
|
Text Classification (F32)
|
100% |
356
140.8 IPS |
|
|
Text Classification (F16)
|
100% |
359
141.8 IPS |
|
|
Machine Translation (F32)
|
100% |
694
107.0 IPS |
|
|
Machine Translation (F16)
|
100% |
691
106.6 IPS |
