samsung SM-X210
Geekbench AI Score
537
Single Precision Score
540
Half Precision Score
1053
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 27 2025 02:05 AM |
| Views | 4 |
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
44.6 IPS |
|
|
Image Classification (HP)
|
100% |
236
43.9 IPS |
|
|
Image Classification (Q)
|
100% |
728
135.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
832
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1156
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1143
1.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
1653
1.96 IPS |
|
|
Object Detection (SP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (HP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (Q)
|
83% |
718
58.0 IPS |
|
|
Face Detection (SP)
|
100% |
745
8.86 IPS |
|
|
Face Detection (HP)
|
100% |
768
9.12 IPS |
|
|
Face Detection (Q)
|
95% |
1646
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
989
7.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
989
7.62 IPS |
|
|
Depth Estimation (Q)
|
64% |
1590
14.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1944
2.52 IPS |
|
|
Style Transfer (HP)
|
89% |
1973
2.56 IPS |
|
|
Style Transfer (Q)
|
98% |
3889
5.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
522
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
529
19.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1011
37.5 IPS |
|
|
Text Classification (SP)
|
100% |
294
392.7 IPS |
|
|
Text Classification (HP)
|
100% |
290
387.7 IPS |
|
|
Text Classification (Q)
|
88% |
594
801.3 IPS |
|
|
Machine Translation (SP)
|
100% |
471
8.12 IPS |
|
|
Machine Translation (HP)
|
100% |
472
8.14 IPS |
|
|
Machine Translation (Q)
|
50% |
384
13.6 IPS |
