samsung SM-X210
Geekbench AI Score
535
Single Precision Score
529
Half Precision Score
1032
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2025 01:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
239
44.5 IPS |
|
|
Image Classification (HP)
|
100% |
237
44.0 IPS |
|
|
Image Classification (Q)
|
100% |
723
134.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
305
4.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
829
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1147
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1119
1.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
1663
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (HP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (Q)
|
83% |
713
57.6 IPS |
|
|
Face Detection (SP)
|
100% |
748
8.89 IPS |
|
|
Face Detection (HP)
|
100% |
744
8.84 IPS |
|
|
Face Detection (Q)
|
95% |
1615
19.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1003
7.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
970
7.47 IPS |
|
|
Depth Estimation (Q)
|
64% |
1520
13.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1906
2.47 IPS |
|
|
Style Transfer (HP)
|
89% |
1919
2.49 IPS |
|
|
Style Transfer (Q)
|
98% |
3875
5.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
539
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
525
19.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
950
35.2 IPS |
|
|
Text Classification (SP)
|
100% |
292
390.1 IPS |
|
|
Text Classification (HP)
|
100% |
289
385.2 IPS |
|
|
Text Classification (Q)
|
88% |
587
792.2 IPS |
|
|
Machine Translation (SP)
|
100% |
473
8.15 IPS |
|
|
Machine Translation (HP)
|
100% |
458
7.89 IPS |
|
|
Machine Translation (Q)
|
50% |
366
13.0 IPS |
