samsung SM-X210
Geekbench AI Score
547
Single Precision Score
546
Half Precision Score
1067
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 25 2025 06:07 PM |
| Views | 5 |
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% |
241
44.9 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (Q)
|
100% |
727
135.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
833
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1164
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1155
1.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
1700
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (HP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (Q)
|
83% |
722
58.3 IPS |
|
|
Face Detection (SP)
|
100% |
771
9.16 IPS |
|
|
Face Detection (HP)
|
100% |
773
9.18 IPS |
|
|
Face Detection (Q)
|
95% |
1719
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
996
7.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
1013
7.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
1626
14.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1967
2.55 IPS |
|
|
Style Transfer (HP)
|
89% |
1968
2.56 IPS |
|
|
Style Transfer (Q)
|
98% |
4015
5.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
543
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1011
37.5 IPS |
|
|
Text Classification (SP)
|
100% |
295
393.7 IPS |
|
|
Text Classification (HP)
|
100% |
292
390.0 IPS |
|
|
Text Classification (Q)
|
88% |
594
801.5 IPS |
|
|
Machine Translation (SP)
|
100% |
483
8.32 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.19 IPS |
|
|
Machine Translation (Q)
|
50% |
384
13.6 IPS |
