samsung SM-X210
Geekbench AI Score
551
Single Precision Score
550
Half Precision Score
1068
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2025 02:40 AM |
| Views | 6 |
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% |
240
44.6 IPS |
|
|
Image Classification (Q)
|
100% |
727
135.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
313
5.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
831
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1179
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1172
1.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
1735
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
239
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (Q)
|
83% |
720
58.2 IPS |
|
|
Face Detection (SP)
|
100% |
771
9.16 IPS |
|
|
Face Detection (HP)
|
100% |
773
9.18 IPS |
|
|
Face Detection (Q)
|
95% |
1721
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1025
7.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
1029
7.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
1621
14.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1987
2.58 IPS |
|
|
Style Transfer (HP)
|
89% |
2007
2.61 IPS |
|
|
Style Transfer (Q)
|
98% |
4038
5.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
541
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
543
20.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1010
37.4 IPS |
|
|
Text Classification (SP)
|
100% |
294
392.5 IPS |
|
|
Text Classification (HP)
|
100% |
291
388.6 IPS |
|
|
Text Classification (Q)
|
88% |
599
807.5 IPS |
|
|
Machine Translation (SP)
|
100% |
492
8.47 IPS |
|
|
Machine Translation (HP)
|
100% |
488
8.41 IPS |
|
|
Machine Translation (Q)
|
50% |
378
13.4 IPS |
