samsung SM-X216B
Geekbench AI Score
548
Single Precision Score
545
Half Precision Score
1061
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 01:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
242
44.9 IPS |
|
|
Image Classification (HP)
|
100% |
243
45.1 IPS |
|
|
Image Classification (Q)
|
100% |
725
134.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
828
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1168
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1169
1.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
1733
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (Q)
|
83% |
714
57.7 IPS |
|
|
Face Detection (SP)
|
100% |
771
9.17 IPS |
|
|
Face Detection (HP)
|
100% |
771
9.17 IPS |
|
|
Face Detection (Q)
|
95% |
1700
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1011
7.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
1011
7.79 IPS |
|
|
Depth Estimation (Q)
|
64% |
1616
14.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1969
2.56 IPS |
|
|
Style Transfer (HP)
|
89% |
1940
2.52 IPS |
|
|
Style Transfer (Q)
|
98% |
3949
5.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
543
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
543
20.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1010
37.4 IPS |
|
|
Text Classification (SP)
|
100% |
293
391.4 IPS |
|
|
Text Classification (HP)
|
100% |
290
386.6 IPS |
|
|
Text Classification (Q)
|
88% |
589
794.6 IPS |
|
|
Machine Translation (SP)
|
100% |
486
8.37 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (Q)
|
50% |
378
13.4 IPS |
