samsung SM-X210R
Geekbench AI Score
552
Single Precision Score
551
Half Precision Score
1068
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | supergordon |
| Upload Date | November 14 2025 04:30 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-X210R |
| Model ID | samsung SM-X210R |
| 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 | 5.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (HP)
|
100% |
240
44.7 IPS |
|
|
Image Classification (Q)
|
100% |
728
135.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
313
5.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
830
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1197
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1199
1.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
1740
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (Q)
|
83% |
718
58.0 IPS |
|
|
Face Detection (SP)
|
100% |
766
9.10 IPS |
|
|
Face Detection (HP)
|
100% |
766
9.10 IPS |
|
|
Face Detection (Q)
|
95% |
1722
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1031
7.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
1029
7.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
1619
14.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2022
2.62 IPS |
|
|
Style Transfer (HP)
|
89% |
2025
2.63 IPS |
|
|
Style Transfer (Q)
|
98% |
4009
5.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
534
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
526
19.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1009
37.4 IPS |
|
|
Text Classification (SP)
|
100% |
293
390.9 IPS |
|
|
Text Classification (HP)
|
100% |
292
389.6 IPS |
|
|
Text Classification (Q)
|
88% |
596
804.2 IPS |
|
|
Machine Translation (SP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (HP)
|
100% |
491
8.46 IPS |
|
|
Machine Translation (Q)
|
50% |
381
13.5 IPS |
