samsung SM-X210
Geekbench AI Score
524
Single Precision Score
517
Half Precision Score
1030
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 30 2025 11:14 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% |
233
43.4 IPS |
|
|
Image Classification (HP)
|
100% |
232
43.2 IPS |
|
|
Image Classification (Q)
|
100% |
719
133.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
304
4.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
297
4.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
824
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1086
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1085
1.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
1652
1.96 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
215
17.0 IPS |
|
|
Object Detection (Q)
|
83% |
688
55.5 IPS |
|
|
Face Detection (SP)
|
100% |
733
8.71 IPS |
|
|
Face Detection (HP)
|
100% |
732
8.70 IPS |
|
|
Face Detection (Q)
|
95% |
1609
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
965
7.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
931
7.17 IPS |
|
|
Depth Estimation (Q)
|
64% |
1564
14.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1862
2.42 IPS |
|
|
Style Transfer (HP)
|
89% |
1882
2.44 IPS |
|
|
Style Transfer (Q)
|
98% |
3820
4.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
519
19.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
513
18.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
990
36.7 IPS |
|
|
Text Classification (SP)
|
100% |
279
371.7 IPS |
|
|
Text Classification (HP)
|
100% |
288
384.9 IPS |
|
|
Text Classification (Q)
|
88% |
584
788.1 IPS |
|
|
Machine Translation (SP)
|
100% |
470
8.10 IPS |
|
|
Machine Translation (HP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (Q)
|
50% |
362
12.8 IPS |
