samsung SM-X210
Geekbench AI Score
515
Single Precision Score
541
Half Precision Score
1051
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 21 2025 08:41 PM |
| Views | 3 |
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 | 3.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
144
26.7 IPS |
|
|
Image Classification (HP)
|
100% |
231
43.0 IPS |
|
|
Image Classification (Q)
|
100% |
727
135.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
309
5.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
832
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1126
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1146
1.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
1663
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
234
18.5 IPS |
|
|
Object Detection (Q)
|
83% |
718
58.0 IPS |
|
|
Face Detection (SP)
|
100% |
770
9.15 IPS |
|
|
Face Detection (HP)
|
100% |
771
9.16 IPS |
|
|
Face Detection (Q)
|
95% |
1680
20.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1000
7.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
1001
7.71 IPS |
|
|
Depth Estimation (Q)
|
64% |
1540
14.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1933
2.51 IPS |
|
|
Style Transfer (HP)
|
89% |
1971
2.56 IPS |
|
|
Style Transfer (Q)
|
98% |
3896
5.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
536
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
537
19.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1008
37.4 IPS |
|
|
Text Classification (SP)
|
100% |
294
391.9 IPS |
|
|
Text Classification (HP)
|
100% |
292
389.8 IPS |
|
|
Text Classification (Q)
|
88% |
596
803.4 IPS |
|
|
Machine Translation (SP)
|
100% |
480
8.28 IPS |
|
|
Machine Translation (HP)
|
100% |
474
8.16 IPS |
|
|
Machine Translation (Q)
|
50% |
378
13.4 IPS |
