samsung SM-X218U
Geekbench AI Score
518
Single Precision Score
521
Half Precision Score
1027
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | markman |
| Upload Date | December 29 2025 02:28 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
228
42.4 IPS |
|
|
Image Classification (HP)
|
100% |
228
42.3 IPS |
|
|
Image Classification (Q)
|
100% |
693
128.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
304
4.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
301
4.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
806
13.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1021
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1082
1.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
1707
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (HP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (Q)
|
83% |
685
55.3 IPS |
|
|
Face Detection (SP)
|
100% |
726
8.62 IPS |
|
|
Face Detection (HP)
|
100% |
728
8.65 IPS |
|
|
Face Detection (Q)
|
95% |
1666
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
963
7.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
961
7.41 IPS |
|
|
Depth Estimation (Q)
|
64% |
1596
14.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1926
2.50 IPS |
|
|
Style Transfer (HP)
|
89% |
1984
2.58 IPS |
|
|
Style Transfer (Q)
|
98% |
4060
5.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
499
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
500
18.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
987
36.6 IPS |
|
|
Text Classification (SP)
|
100% |
277
369.9 IPS |
|
|
Text Classification (HP)
|
100% |
273
364.9 IPS |
|
|
Text Classification (Q)
|
88% |
546
735.9 IPS |
|
|
Machine Translation (SP)
|
100% |
462
7.95 IPS |
|
|
Machine Translation (HP)
|
100% |
460
7.93 IPS |
|
|
Machine Translation (Q)
|
50% |
344
12.2 IPS |
