samsung SM-X210
Geekbench AI Score
528
Single Precision Score
528
Half Precision Score
1027
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 02:07 AM |
| 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% |
228
42.4 IPS |
|
|
Image Classification (HP)
|
100% |
232
43.1 IPS |
|
|
Image Classification (Q)
|
100% |
696
129.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
295
4.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
289
4.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
828
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1094
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1043
1.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
1650
1.96 IPS |
|
|
Object Detection (SP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (Q)
|
83% |
679
54.9 IPS |
|
|
Face Detection (SP)
|
100% |
747
8.87 IPS |
|
|
Face Detection (HP)
|
100% |
747
8.88 IPS |
|
|
Face Detection (Q)
|
95% |
1614
19.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1005
7.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
1007
7.75 IPS |
|
|
Depth Estimation (Q)
|
64% |
1547
14.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1949
2.53 IPS |
|
|
Style Transfer (HP)
|
89% |
1933
2.51 IPS |
|
|
Style Transfer (Q)
|
98% |
3794
4.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
537
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
547
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
976
36.1 IPS |
|
|
Text Classification (SP)
|
100% |
292
389.6 IPS |
|
|
Text Classification (HP)
|
100% |
289
385.3 IPS |
|
|
Text Classification (Q)
|
88% |
594
800.7 IPS |
|
|
Machine Translation (SP)
|
100% |
478
8.24 IPS |
|
|
Machine Translation (HP)
|
100% |
472
8.14 IPS |
|
|
Machine Translation (Q)
|
50% |
369
13.1 IPS |
