samsung SM-X210
Geekbench AI Score
371
Single Precision Score
602
Half Precision Score
552
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 20 2025 03:02 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
258
48.0 IPS |
|
|
Image Classification (HP)
|
100% |
414
77.0 IPS |
|
|
Image Classification (Q)
|
99% |
391
73.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
378
6.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
613
9.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
555
9.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
1433
1.67 IPS |
|
|
Pose Estimation (HP)
|
99% |
2301
2.68 IPS |
|
|
Pose Estimation (Q)
|
97% |
2267
2.65 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.3 IPS |
|
|
Object Detection (HP)
|
99% |
350
27.8 IPS |
|
|
Object Detection (Q)
|
85% |
343
27.6 IPS |
|
|
Face Detection (SP)
|
100% |
786
9.34 IPS |
|
|
Face Detection (HP)
|
100% |
1346
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
1173
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
876
6.75 IPS |
|
|
Depth Estimation (HP)
|
98% |
1469
11.4 IPS |
|
|
Depth Estimation (Q)
|
65% |
1225
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1906
2.45 IPS |
|
|
Style Transfer (HP)
|
100% |
3553
4.57 IPS |
|
|
Style Transfer (Q)
|
98% |
3472
4.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
358
13.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
564
20.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
555
20.5 IPS |
|
|
Text Classification (SP)
|
35% |
14
140.9 IPS |
|
|
Text Classification (HP)
|
35% |
24
217.2 IPS |
|
|
Text Classification (Q)
|
35% |
23
213.2 IPS |
|
|
Machine Translation (SP)
|
100% |
234
4.04 IPS |
|
|
Machine Translation (HP)
|
97% |
324
5.59 IPS |
|
|
Machine Translation (Q)
|
64% |
248
5.10 IPS |
