samsung SM-X210
Geekbench AI Score
546
Single Precision Score
543
Half Precision Score
1059
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | May 31 2025 09:45 AM |
| Views | 8 |
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% |
240
44.7 IPS |
|
|
Image Classification (Q)
|
100% |
723
134.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
831
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1163
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1148
1.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
1718
2.04 IPS |
|
|
Object Detection (SP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
83% |
715
57.7 IPS |
|
|
Face Detection (SP)
|
100% |
765
9.09 IPS |
|
|
Face Detection (HP)
|
100% |
763
9.07 IPS |
|
|
Face Detection (Q)
|
95% |
1716
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1008
7.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
1004
7.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
1624
14.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1976
2.57 IPS |
|
|
Style Transfer (HP)
|
89% |
1951
2.53 IPS |
|
|
Style Transfer (Q)
|
98% |
3921
5.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
550
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
538
19.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1006
37.3 IPS |
|
|
Text Classification (SP)
|
100% |
292
389.8 IPS |
|
|
Text Classification (HP)
|
100% |
290
387.7 IPS |
|
|
Text Classification (Q)
|
88% |
588
793.4 IPS |
|
|
Machine Translation (SP)
|
100% |
480
8.28 IPS |
|
|
Machine Translation (HP)
|
100% |
481
8.28 IPS |
|
|
Machine Translation (Q)
|
50% |
374
13.3 IPS |
