samsung SM-X218U
Geekbench AI Score
182
Single Precision Score
189
Half Precision Score
447
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 06:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-X218U |
| Model ID | samsung SM-X218U |
| 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 | 3.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
113
21.1 IPS |
|
|
Image Classification (HP)
|
100% |
114
21.2 IPS |
|
|
Image Classification (Q)
|
99% |
308
57.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
155
2.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
340
5.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
208
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
208
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
808
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.99 IPS |
|
|
Object Detection (HP)
|
100% |
114
9.00 IPS |
|
|
Object Detection (Q)
|
87% |
330
26.5 IPS |
|
|
Face Detection (SP)
|
100% |
295
3.51 IPS |
|
|
Face Detection (HP)
|
100% |
298
3.54 IPS |
|
|
Face Detection (Q)
|
97% |
656
7.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
253
1.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
251
1.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
626
5.68 IPS |
|
|
Style Transfer (SP)
|
100% |
328
0.42 IPS |
|
|
Style Transfer (HP)
|
100% |
328
0.42 IPS |
|
|
Style Transfer (Q)
|
98% |
924
1.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
91
3.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
124
4.56 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
392
14.5 IPS |
|
|
Text Classification (SP)
|
100% |
164
218.3 IPS |
|
|
Text Classification (HP)
|
100% |
164
218.5 IPS |
|
|
Text Classification (Q)
|
91% |
312
418.7 IPS |
|
|
Machine Translation (SP)
|
100% |
280
4.81 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (Q)
|
57% |
251
6.13 IPS |
