samsung SM-X216B
Geekbench ML Score
655
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 27 2025 03:51 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 | 3.29 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
437
46.9 IPS |
|
|
Image Classification (F16)
|
100% |
716
76.7 IPS |
|
|
Image Classification (I8)
|
80% |
667
71.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
912
5.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
1508
9.32 IPS |
|
|
Image Segmentation (I8)
|
89% |
1551
9.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
459
1.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
784
3.17 IPS |
|
|
Pose Estimation (I8)
|
80% |
780
3.15 IPS |
|
|
Object Detection (F32)
|
100% |
366
12.8 IPS |
|
|
Object Detection (F16)
|
99% |
481
16.9 IPS |
|
|
Object Detection (I8)
|
53% |
481
16.9 IPS |
|
|
Face Detection (F32)
|
100% |
803
9.23 IPS |
|
|
Face Detection (F16)
|
97% |
1394
16.0 IPS |
|
|
Face Detection (I8)
|
75% |
1311
15.1 IPS |
|
|
Text Classification (F32)
|
100% |
429
169.6 IPS |
|
|
Text Classification (F16)
|
98% |
546
215.8 IPS |
|
|
Machine Translation (F32)
|
100% |
300
46.2 IPS |
|
|
Machine Translation (F16)
|
100% |
297
45.7 IPS |
