samsung SM-X210
Geekbench AI Score
546
Single Precision Score
985
Half Precision Score
1124
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Numair-AIDROOS |
| Upload Date | March 26 2026 04:39 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-X210 |
| Model ID | samsung SM-X210 |
| Motherboard | blair |
| Governor | walt |
| 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 | 7.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (HP)
|
100% |
477
88.7 IPS |
|
|
Image Classification (Q)
|
99% |
723
134.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
572
9.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
836
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1172
1.37 IPS |
|
|
Pose Estimation (HP)
|
92% |
2409
2.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
1769
2.07 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
97% |
473
37.7 IPS |
|
|
Object Detection (Q)
|
85% |
724
58.3 IPS |
|
|
Face Detection (SP)
|
100% |
771
9.17 IPS |
|
|
Face Detection (HP)
|
100% |
1408
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
1737
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1016
7.82 IPS |
|
|
Depth Estimation (HP)
|
98% |
1966
15.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
1642
15.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1985
2.58 IPS |
|
|
Style Transfer (HP)
|
88% |
2868
3.72 IPS |
|
|
Style Transfer (Q)
|
98% |
4155
5.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
531
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1004
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1022
37.9 IPS |
|
|
Text Classification (SP)
|
100% |
291
388.8 IPS |
|
|
Text Classification (HP)
|
100% |
484
645.4 IPS |
|
|
Text Classification (Q)
|
93% |
618
829.2 IPS |
|
|
Machine Translation (SP)
|
100% |
485
8.35 IPS |
|
|
Machine Translation (HP)
|
96% |
717
12.4 IPS |
|
|
Machine Translation (Q)
|
55% |
559
15.0 IPS |
