samsung SM-X210
Geekbench AI Score
541
Single Precision Score
540
Half Precision Score
1040
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 01:48 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
240
44.7 IPS |
|
|
Image Classification (HP)
|
100% |
238
44.3 IPS |
|
|
Image Classification (Q)
|
100% |
731
135.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
301
4.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
832
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1146
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1143
1.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
1641
1.95 IPS |
|
|
Object Detection (SP)
|
100% |
231
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (Q)
|
83% |
707
57.1 IPS |
|
|
Face Detection (SP)
|
100% |
769
9.14 IPS |
|
|
Face Detection (HP)
|
100% |
752
8.94 IPS |
|
|
Face Detection (Q)
|
95% |
1624
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1017
7.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
996
7.67 IPS |
|
|
Depth Estimation (Q)
|
64% |
1531
14.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1989
2.58 IPS |
|
|
Style Transfer (HP)
|
89% |
1984
2.58 IPS |
|
|
Style Transfer (Q)
|
98% |
3910
5.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
523
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
528
19.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
997
36.9 IPS |
|
|
Text Classification (SP)
|
100% |
292
390.4 IPS |
|
|
Text Classification (HP)
|
100% |
293
390.8 IPS |
|
|
Text Classification (Q)
|
88% |
598
806.1 IPS |
|
|
Machine Translation (SP)
|
100% |
477
8.22 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (Q)
|
50% |
364
12.9 IPS |
