samsung SM-X210
Geekbench AI Score
368
Single Precision Score
598
Half Precision Score
551
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 27 2025 02:58 PM |
| Views | 7 |
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% |
414
76.9 IPS |
|
|
Image Classification (Q)
|
99% |
391
72.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
374
6.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
594
9.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
554
9.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
1419
1.66 IPS |
|
|
Pose Estimation (HP)
|
99% |
2305
2.69 IPS |
|
|
Pose Estimation (Q)
|
97% |
2257
2.64 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
99% |
350
27.7 IPS |
|
|
Object Detection (Q)
|
85% |
343
27.6 IPS |
|
|
Face Detection (SP)
|
100% |
784
9.31 IPS |
|
|
Face Detection (HP)
|
100% |
1341
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
1160
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
869
6.69 IPS |
|
|
Depth Estimation (HP)
|
98% |
1453
11.2 IPS |
|
|
Depth Estimation (Q)
|
65% |
1216
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1886
2.43 IPS |
|
|
Style Transfer (HP)
|
100% |
3584
4.61 IPS |
|
|
Style Transfer (Q)
|
98% |
3421
4.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
359
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
560
20.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
562
20.8 IPS |
|
|
Text Classification (SP)
|
35% |
14
139.6 IPS |
|
|
Text Classification (HP)
|
35% |
24
215.7 IPS |
|
|
Text Classification (Q)
|
35% |
23
213.6 IPS |
|
|
Machine Translation (SP)
|
100% |
233
4.01 IPS |
|
|
Machine Translation (HP)
|
97% |
318
5.49 IPS |
|
|
Machine Translation (Q)
|
64% |
248
5.10 IPS |
