samsung SM-X210
Geekbench AI Score
536
Single Precision Score
531
Half Precision Score
1040
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 01:41 AM |
| Views | 7 |
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% |
237
44.0 IPS |
|
|
Image Classification (HP)
|
100% |
237
44.1 IPS |
|
|
Image Classification (Q)
|
100% |
724
134.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
306
4.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
831
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1140
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1127
1.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
1641
1.95 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
220
17.5 IPS |
|
|
Object Detection (Q)
|
83% |
718
58.0 IPS |
|
|
Face Detection (SP)
|
100% |
766
9.10 IPS |
|
|
Face Detection (HP)
|
100% |
768
9.13 IPS |
|
|
Face Detection (Q)
|
95% |
1606
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
999
7.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
976
7.52 IPS |
|
|
Depth Estimation (Q)
|
64% |
1518
13.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1913
2.48 IPS |
|
|
Style Transfer (HP)
|
89% |
1917
2.49 IPS |
|
|
Style Transfer (Q)
|
98% |
3904
5.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
517
19.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
523
19.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
991
36.7 IPS |
|
|
Text Classification (SP)
|
100% |
293
390.7 IPS |
|
|
Text Classification (HP)
|
100% |
289
386.4 IPS |
|
|
Text Classification (Q)
|
88% |
593
800.1 IPS |
|
|
Machine Translation (SP)
|
100% |
471
8.11 IPS |
|
|
Machine Translation (HP)
|
100% |
464
8.00 IPS |
|
|
Machine Translation (Q)
|
50% |
374
13.3 IPS |
