samsung SM-X210
Geekbench AI Score
550
Single Precision Score
545
Half Precision Score
1064
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 07 2025 11:40 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-X210 |
| Model ID | samsung SM-X210 |
| 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% |
240
44.6 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.9 IPS |
|
|
Image Classification (Q)
|
100% |
725
134.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
830
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1185
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1164
1.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
1740
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.4 IPS |
|
|
Object Detection (Q)
|
83% |
716
57.8 IPS |
|
|
Face Detection (SP)
|
100% |
772
9.17 IPS |
|
|
Face Detection (HP)
|
100% |
768
9.12 IPS |
|
|
Face Detection (Q)
|
95% |
1718
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1015
7.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
1013
7.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
1614
14.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1973
2.56 IPS |
|
|
Style Transfer (HP)
|
89% |
1947
2.53 IPS |
|
|
Style Transfer (Q)
|
98% |
3992
5.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
552
20.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
542
20.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
998
37.0 IPS |
|
|
Text Classification (SP)
|
100% |
293
390.7 IPS |
|
|
Text Classification (HP)
|
100% |
289
386.2 IPS |
|
|
Text Classification (Q)
|
88% |
585
788.5 IPS |
|
|
Machine Translation (SP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (HP)
|
100% |
476
8.19 IPS |
|
|
Machine Translation (Q)
|
50% |
384
13.6 IPS |
