samsung SM-X210
Geekbench AI Score
542
Single Precision Score
540
Half Precision Score
1052
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 02:16 AM |
| Views | 6 |
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
44.5 IPS |
|
|
Image Classification (HP)
|
100% |
240
44.7 IPS |
|
|
Image Classification (Q)
|
100% |
725
134.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
829
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1158
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1160
1.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
1686
2.00 IPS |
|
|
Object Detection (SP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
83% |
713
57.6 IPS |
|
|
Face Detection (SP)
|
100% |
748
8.89 IPS |
|
|
Face Detection (HP)
|
100% |
749
8.90 IPS |
|
|
Face Detection (Q)
|
95% |
1716
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1004
7.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
996
7.68 IPS |
|
|
Depth Estimation (Q)
|
64% |
1616
14.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1957
2.54 IPS |
|
|
Style Transfer (HP)
|
89% |
1949
2.53 IPS |
|
|
Style Transfer (Q)
|
98% |
3939
5.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
538
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
536
19.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
994
36.8 IPS |
|
|
Text Classification (SP)
|
100% |
289
386.1 IPS |
|
|
Text Classification (HP)
|
100% |
286
382.3 IPS |
|
|
Text Classification (Q)
|
88% |
578
779.6 IPS |
|
|
Machine Translation (SP)
|
100% |
476
8.20 IPS |
|
|
Machine Translation (HP)
|
100% |
476
8.19 IPS |
|
|
Machine Translation (Q)
|
50% |
367
13.0 IPS |
