samsung SM-X210
Geekbench AI Score
545
Single Precision Score
542
Half Precision Score
1058
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2025 08:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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
44.7 IPS |
|
|
Image Classification (Q)
|
100% |
725
134.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
314
5.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
829
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1155
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1155
1.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
1714
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.3 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
83% |
719
58.1 IPS |
|
|
Face Detection (SP)
|
100% |
771
9.17 IPS |
|
|
Face Detection (HP)
|
100% |
755
8.97 IPS |
|
|
Face Detection (Q)
|
95% |
1718
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1009
7.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
1007
7.76 IPS |
|
|
Depth Estimation (Q)
|
64% |
1619
14.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1980
2.57 IPS |
|
|
Style Transfer (HP)
|
89% |
1958
2.54 IPS |
|
|
Style Transfer (Q)
|
98% |
3877
5.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
529
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
524
19.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1005
37.2 IPS |
|
|
Text Classification (SP)
|
100% |
293
390.5 IPS |
|
|
Text Classification (HP)
|
100% |
291
388.6 IPS |
|
|
Text Classification (Q)
|
88% |
589
793.9 IPS |
|
|
Machine Translation (SP)
|
100% |
485
8.36 IPS |
|
|
Machine Translation (HP)
|
100% |
476
8.20 IPS |
|
|
Machine Translation (Q)
|
50% |
375
13.3 IPS |
