samsung SM-X210
Geekbench AI Score
551
Single Precision Score
550
Half Precision Score
1067
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 23 2025 10:26 AM |
| Views | 10 |
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% |
241
44.8 IPS |
|
|
Image Classification (Q)
|
100% |
729
135.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
832
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1191
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1176
1.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
1737
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (HP)
|
100% |
236
18.7 IPS |
|
|
Object Detection (Q)
|
83% |
715
57.7 IPS |
|
|
Face Detection (SP)
|
100% |
780
9.27 IPS |
|
|
Face Detection (HP)
|
100% |
777
9.23 IPS |
|
|
Face Detection (Q)
|
95% |
1720
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1022
7.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
1034
7.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
1622
14.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1969
2.56 IPS |
|
|
Style Transfer (HP)
|
89% |
1982
2.57 IPS |
|
|
Style Transfer (Q)
|
98% |
4067
5.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
542
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
538
19.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1010
37.4 IPS |
|
|
Text Classification (SP)
|
100% |
295
393.2 IPS |
|
|
Text Classification (HP)
|
100% |
291
387.9 IPS |
|
|
Text Classification (Q)
|
88% |
595
802.6 IPS |
|
|
Machine Translation (SP)
|
100% |
487
8.38 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.38 IPS |
|
|
Machine Translation (Q)
|
50% |
375
13.3 IPS |
