samsung SM-X216B
Geekbench ML Score
658
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 01 2025 12:26 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-X216B |
| Model ID | samsung SM-X216B |
| Motherboard | holi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.18 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
439
47.0 IPS |
|
|
Image Classification (F16)
|
100% |
701
75.1 IPS |
|
|
Image Classification (I8)
|
80% |
667
71.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
903
5.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
1514
9.35 IPS |
|
|
Image Segmentation (I8)
|
89% |
1558
9.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
430
1.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
774
3.13 IPS |
|
|
Pose Estimation (I8)
|
80% |
772
3.13 IPS |
|
|
Object Detection (F32)
|
100% |
381
13.4 IPS |
|
|
Object Detection (F16)
|
99% |
515
18.1 IPS |
|
|
Object Detection (I8)
|
53% |
503
17.7 IPS |
|
|
Face Detection (F32)
|
100% |
802
9.22 IPS |
|
|
Face Detection (F16)
|
97% |
1420
16.3 IPS |
|
|
Face Detection (I8)
|
75% |
1308
15.0 IPS |
|
|
Text Classification (F32)
|
100% |
440
174.0 IPS |
|
|
Text Classification (F16)
|
98% |
536
212.1 IPS |
|
|
Machine Translation (F32)
|
100% |
304
46.8 IPS |
|
|
Machine Translation (F16)
|
100% |
300
46.3 IPS |
