samsung SM-X216B
Geekbench ML Score
655
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 03:07 PM |
| Views | 7 |
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% |
435
46.6 IPS |
|
|
Image Classification (F16)
|
100% |
697
74.7 IPS |
|
|
Image Classification (I8)
|
80% |
663
71.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
903
5.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
1515
9.36 IPS |
|
|
Image Segmentation (I8)
|
89% |
1555
9.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
431
1.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
778
3.15 IPS |
|
|
Pose Estimation (I8)
|
80% |
777
3.15 IPS |
|
|
Object Detection (F32)
|
100% |
370
13.0 IPS |
|
|
Object Detection (F16)
|
99% |
505
17.7 IPS |
|
|
Object Detection (I8)
|
53% |
493
17.3 IPS |
|
|
Face Detection (F32)
|
100% |
804
9.23 IPS |
|
|
Face Detection (F16)
|
97% |
1441
16.6 IPS |
|
|
Face Detection (I8)
|
75% |
1290
14.8 IPS |
|
|
Text Classification (F32)
|
100% |
441
174.3 IPS |
|
|
Text Classification (F16)
|
98% |
549
217.3 IPS |
|
|
Machine Translation (F32)
|
100% |
301
46.4 IPS |
|
|
Machine Translation (F16)
|
100% |
296
45.7 IPS |
