samsung SM-X210
Geekbench AI Score
544
Single Precision Score
542
Half Precision Score
1057
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 01:58 AM |
| Views | 2 |
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
44.7 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.7 IPS |
|
|
Image Classification (Q)
|
100% |
723
134.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
313
5.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
832
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1163
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1153
1.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
1702
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
234
18.5 IPS |
|
|
Object Detection (Q)
|
83% |
718
58.0 IPS |
|
|
Face Detection (SP)
|
100% |
773
9.18 IPS |
|
|
Face Detection (HP)
|
100% |
763
9.06 IPS |
|
|
Face Detection (Q)
|
95% |
1718
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1000
7.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
1012
7.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
1580
14.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1950
2.53 IPS |
|
|
Style Transfer (HP)
|
89% |
1952
2.53 IPS |
|
|
Style Transfer (Q)
|
98% |
3942
5.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
543
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
528
19.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1007
37.3 IPS |
|
|
Text Classification (SP)
|
100% |
293
391.3 IPS |
|
|
Text Classification (HP)
|
100% |
286
382.0 IPS |
|
|
Text Classification (Q)
|
88% |
587
791.5 IPS |
|
|
Machine Translation (SP)
|
100% |
478
8.23 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (Q)
|
50% |
376
13.3 IPS |
