samsung SM-X210
Geekbench AI Score
368
Single Precision Score
597
Half Precision Score
550
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 24 2025 01:07 PM |
| 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% |
256
47.6 IPS |
|
|
Image Classification (HP)
|
100% |
412
76.6 IPS |
|
|
Image Classification (Q)
|
99% |
391
72.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
370
5.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
591
9.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
536
8.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
1418
1.65 IPS |
|
|
Pose Estimation (HP)
|
99% |
2278
2.66 IPS |
|
|
Pose Estimation (Q)
|
97% |
2255
2.64 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
99% |
348
27.6 IPS |
|
|
Object Detection (Q)
|
85% |
343
27.6 IPS |
|
|
Face Detection (SP)
|
100% |
776
9.22 IPS |
|
|
Face Detection (HP)
|
100% |
1331
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
1167
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
866
6.67 IPS |
|
|
Depth Estimation (HP)
|
98% |
1452
11.2 IPS |
|
|
Depth Estimation (Q)
|
65% |
1212
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1885
2.42 IPS |
|
|
Style Transfer (HP)
|
100% |
3596
4.62 IPS |
|
|
Style Transfer (Q)
|
98% |
3449
4.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
359
13.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
559
20.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
549
20.4 IPS |
|
|
Text Classification (SP)
|
35% |
14
139.7 IPS |
|
|
Text Classification (HP)
|
35% |
24
217.6 IPS |
|
|
Text Classification (Q)
|
35% |
23
212.6 IPS |
|
|
Machine Translation (SP)
|
100% |
232
3.99 IPS |
|
|
Machine Translation (HP)
|
97% |
320
5.54 IPS |
|
|
Machine Translation (Q)
|
64% |
254
5.21 IPS |
