samsung SM-X216B
Geekbench ML Score
661
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 01 2025 02:27 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% |
441
47.3 IPS |
|
|
Image Classification (F16)
|
100% |
709
75.9 IPS |
|
|
Image Classification (I8)
|
80% |
669
71.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
907
5.60 IPS |
|
|
Image Segmentation (F16)
|
100% |
1522
9.40 IPS |
|
|
Image Segmentation (I8)
|
89% |
1559
9.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
432
1.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
780
3.16 IPS |
|
|
Pose Estimation (I8)
|
80% |
774
3.13 IPS |
|
|
Object Detection (F32)
|
100% |
377
13.2 IPS |
|
|
Object Detection (F16)
|
99% |
508
17.8 IPS |
|
|
Object Detection (I8)
|
53% |
509
17.9 IPS |
|
|
Face Detection (F32)
|
100% |
810
9.31 IPS |
|
|
Face Detection (F16)
|
97% |
1441
16.6 IPS |
|
|
Face Detection (I8)
|
75% |
1291
14.8 IPS |
|
|
Text Classification (F32)
|
100% |
453
179.3 IPS |
|
|
Text Classification (F16)
|
98% |
559
221.0 IPS |
|
|
Machine Translation (F32)
|
100% |
298
45.9 IPS |
|
|
Machine Translation (F16)
|
100% |
302
46.5 IPS |
