samsung SM-X216B
Geekbench ML Score
598
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 09 2025 03:49 PM |
| Views | 8 |
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 | 3.29 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
417
44.7 IPS |
|
|
Image Classification (F16)
|
100% |
669
71.7 IPS |
|
|
Image Classification (I8)
|
80% |
627
67.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
868
5.36 IPS |
|
|
Image Segmentation (F16)
|
100% |
1446
8.93 IPS |
|
|
Image Segmentation (I8)
|
89% |
1471
9.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
413
1.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
789
3.19 IPS |
|
|
Pose Estimation (I8)
|
80% |
756
3.06 IPS |
|
|
Object Detection (F32)
|
100% |
278
9.76 IPS |
|
|
Object Detection (F16)
|
99% |
410
14.4 IPS |
|
|
Object Detection (I8)
|
53% |
355
12.5 IPS |
|
|
Face Detection (F32)
|
100% |
768
8.83 IPS |
|
|
Face Detection (F16)
|
97% |
1361
15.6 IPS |
|
|
Face Detection (I8)
|
75% |
1278
14.7 IPS |
|
|
Text Classification (F32)
|
100% |
384
152.0 IPS |
|
|
Text Classification (F16)
|
98% |
435
172.1 IPS |
|
|
Machine Translation (F32)
|
100% |
288
44.4 IPS |
|
|
Machine Translation (F16)
|
100% |
279
43.1 IPS |
