samsung SM-X210
Geekbench AI Score
495
Single Precision Score
486
Half Precision Score
983
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | October 05 2025 11:23 PM |
| Views | 7 |
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% |
229
42.7 IPS |
|
|
Image Classification (HP)
|
100% |
218
40.5 IPS |
|
|
Image Classification (Q)
|
100% |
723
134.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
280
4.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
284
4.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
825
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1000
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
966
1.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
1460
1.73 IPS |
|
|
Object Detection (SP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (HP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (Q)
|
83% |
693
55.9 IPS |
|
|
Face Detection (SP)
|
100% |
698
8.29 IPS |
|
|
Face Detection (HP)
|
100% |
695
8.26 IPS |
|
|
Face Detection (Q)
|
95% |
1551
18.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
941
7.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
845
6.51 IPS |
|
|
Depth Estimation (Q)
|
64% |
1361
12.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1729
2.24 IPS |
|
|
Style Transfer (HP)
|
89% |
1816
2.36 IPS |
|
|
Style Transfer (Q)
|
98% |
3552
4.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
501
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
488
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
985
36.5 IPS |
|
|
Text Classification (SP)
|
100% |
266
355.2 IPS |
|
|
Text Classification (HP)
|
100% |
266
355.5 IPS |
|
|
Text Classification (Q)
|
88% |
542
730.4 IPS |
|
|
Machine Translation (SP)
|
100% |
429
7.39 IPS |
|
|
Machine Translation (HP)
|
100% |
440
7.58 IPS |
|
|
Machine Translation (Q)
|
50% |
349
12.4 IPS |
