samsung SM-X210
Geekbench AI Score
368
Single Precision Score
600
Half Precision Score
553
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 23 2025 06:40 PM |
| Views | 5 |
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% |
255
47.4 IPS |
|
|
Image Classification (HP)
|
100% |
415
77.1 IPS |
|
|
Image Classification (Q)
|
99% |
390
72.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
375
6.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
605
9.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
572
9.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
1420
1.66 IPS |
|
|
Pose Estimation (HP)
|
99% |
2290
2.67 IPS |
|
|
Pose Estimation (Q)
|
97% |
2276
2.67 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
99% |
351
27.8 IPS |
|
|
Object Detection (Q)
|
85% |
342
27.5 IPS |
|
|
Face Detection (SP)
|
100% |
783
9.31 IPS |
|
|
Face Detection (HP)
|
100% |
1340
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
1176
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
866
6.67 IPS |
|
|
Depth Estimation (HP)
|
98% |
1449
11.2 IPS |
|
|
Depth Estimation (Q)
|
65% |
1207
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1883
2.42 IPS |
|
|
Style Transfer (HP)
|
100% |
3614
4.65 IPS |
|
|
Style Transfer (Q)
|
98% |
3425
4.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
359
13.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
564
20.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
557
20.6 IPS |
|
|
Text Classification (SP)
|
35% |
14
140.1 IPS |
|
|
Text Classification (HP)
|
35% |
24
215.3 IPS |
|
|
Text Classification (Q)
|
35% |
23
210.9 IPS |
|
|
Machine Translation (SP)
|
100% |
233
4.01 IPS |
|
|
Machine Translation (HP)
|
97% |
317
5.48 IPS |
|
|
Machine Translation (Q)
|
64% |
248
5.10 IPS |
