samsung SM-X210
Geekbench AI Score
373
Single Precision Score
599
Half Precision Score
555
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2025 11:22 AM |
| Views | 2 |
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% |
416
77.4 IPS |
|
|
Image Classification (Q)
|
99% |
392
73.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
380
6.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
597
9.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
562
9.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
1428
1.67 IPS |
|
|
Pose Estimation (HP)
|
99% |
2304
2.69 IPS |
|
|
Pose Estimation (Q)
|
97% |
2280
2.67 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
99% |
349
27.7 IPS |
|
|
Object Detection (Q)
|
85% |
346
27.8 IPS |
|
|
Face Detection (SP)
|
100% |
791
9.40 IPS |
|
|
Face Detection (HP)
|
100% |
1353
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
1181
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
878
6.77 IPS |
|
|
Depth Estimation (HP)
|
98% |
1465
11.3 IPS |
|
|
Depth Estimation (Q)
|
65% |
1217
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1895
2.44 IPS |
|
|
Style Transfer (HP)
|
100% |
3533
4.54 IPS |
|
|
Style Transfer (Q)
|
98% |
3446
4.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
359
13.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
560
20.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
544
20.2 IPS |
|
|
Text Classification (SP)
|
35% |
15
141.4 IPS |
|
|
Text Classification (HP)
|
35% |
24
217.4 IPS |
|
|
Text Classification (Q)
|
35% |
24
214.5 IPS |
|
|
Machine Translation (SP)
|
100% |
234
4.03 IPS |
|
|
Machine Translation (HP)
|
97% |
320
5.53 IPS |
|
|
Machine Translation (Q)
|
64% |
247
5.07 IPS |
