samsung SM-X210
Geekbench AI Score
368
Single Precision Score
597
Half Precision Score
551
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 08 2025 11:14 AM |
| Views | 6 |
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% |
259
48.1 IPS |
|
|
Image Classification (HP)
|
100% |
414
76.9 IPS |
|
|
Image Classification (Q)
|
99% |
388
72.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
372
6.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
600
9.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
549
8.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
1418
1.65 IPS |
|
|
Pose Estimation (HP)
|
99% |
2296
2.68 IPS |
|
|
Pose Estimation (Q)
|
97% |
2268
2.66 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (HP)
|
99% |
349
27.7 IPS |
|
|
Object Detection (Q)
|
85% |
345
27.8 IPS |
|
|
Face Detection (SP)
|
100% |
781
9.28 IPS |
|
|
Face Detection (HP)
|
100% |
1336
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
1175
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
865
6.67 IPS |
|
|
Depth Estimation (HP)
|
98% |
1445
11.2 IPS |
|
|
Depth Estimation (Q)
|
65% |
1213
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1888
2.43 IPS |
|
|
Style Transfer (HP)
|
100% |
3548
4.56 IPS |
|
|
Style Transfer (Q)
|
98% |
3430
4.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
358
13.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
558
20.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
550
20.4 IPS |
|
|
Text Classification (SP)
|
35% |
14
140.7 IPS |
|
|
Text Classification (HP)
|
35% |
24
216.2 IPS |
|
|
Text Classification (Q)
|
35% |
23
212.7 IPS |
|
|
Machine Translation (SP)
|
100% |
231
3.98 IPS |
|
|
Machine Translation (HP)
|
97% |
318
5.50 IPS |
|
|
Machine Translation (Q)
|
64% |
252
5.18 IPS |
