samsung SM-X216B
Geekbench ML Score
644
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 19 2025 07:43 PM |
| Views | 4 |
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% |
433
46.4 IPS |
|
|
Image Classification (F16)
|
100% |
701
75.1 IPS |
|
|
Image Classification (I8)
|
80% |
668
71.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
908
5.61 IPS |
|
|
Image Segmentation (F16)
|
100% |
1498
9.25 IPS |
|
|
Image Segmentation (I8)
|
89% |
1516
9.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
433
1.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
777
3.14 IPS |
|
|
Pose Estimation (I8)
|
80% |
775
3.14 IPS |
|
|
Object Detection (F32)
|
100% |
368
12.9 IPS |
|
|
Object Detection (F16)
|
99% |
482
16.9 IPS |
|
|
Object Detection (I8)
|
53% |
482
16.9 IPS |
|
|
Face Detection (F32)
|
100% |
780
8.96 IPS |
|
|
Face Detection (F16)
|
97% |
1407
16.2 IPS |
|
|
Face Detection (I8)
|
75% |
1277
14.7 IPS |
|
|
Text Classification (F32)
|
100% |
391
154.6 IPS |
|
|
Text Classification (F16)
|
98% |
548
216.8 IPS |
|
|
Machine Translation (F32)
|
100% |
291
44.9 IPS |
|
|
Machine Translation (F16)
|
100% |
292
45.0 IPS |
