samsung SM-X210
Geekbench AI Score
545
Single Precision Score
542
Half Precision Score
1059
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 10 2025 02:00 AM |
| Views | 3 |
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% |
241
44.8 IPS |
|
|
Image Classification (HP)
|
100% |
240
44.6 IPS |
|
|
Image Classification (Q)
|
100% |
729
135.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
832
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1162
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1159
1.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
1660
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
234
18.5 IPS |
|
|
Object Detection (Q)
|
83% |
719
58.1 IPS |
|
|
Face Detection (SP)
|
100% |
770
9.14 IPS |
|
|
Face Detection (HP)
|
100% |
751
8.93 IPS |
|
|
Face Detection (Q)
|
95% |
1700
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1008
7.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
1006
7.75 IPS |
|
|
Depth Estimation (Q)
|
64% |
1625
14.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1940
2.52 IPS |
|
|
Style Transfer (HP)
|
89% |
1948
2.53 IPS |
|
|
Style Transfer (Q)
|
98% |
3927
5.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
537
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
536
19.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1009
37.4 IPS |
|
|
Text Classification (SP)
|
100% |
294
392.8 IPS |
|
|
Text Classification (HP)
|
100% |
291
388.2 IPS |
|
|
Text Classification (Q)
|
88% |
592
798.5 IPS |
|
|
Machine Translation (SP)
|
100% |
483
8.31 IPS |
|
|
Machine Translation (HP)
|
100% |
476
8.21 IPS |
|
|
Machine Translation (Q)
|
50% |
379
13.5 IPS |
