samsung SM-X210
Geekbench AI Score
480
Single Precision Score
459
Half Precision Score
938
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 01 2025 06:17 PM |
| Views | 2 |
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% |
213
39.6 IPS |
|
|
Image Classification (HP)
|
100% |
207
38.5 IPS |
|
|
Image Classification (Q)
|
100% |
640
119.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
280
4.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
276
4.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
776
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
839
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
865
1.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
1321
1.57 IPS |
|
|
Object Detection (SP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (HP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (Q)
|
83% |
627
50.7 IPS |
|
|
Face Detection (SP)
|
100% |
705
8.37 IPS |
|
|
Face Detection (HP)
|
100% |
532
6.32 IPS |
|
|
Face Detection (Q)
|
95% |
1544
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
844
6.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
897
6.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
1363
12.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1690
2.19 IPS |
|
|
Style Transfer (HP)
|
89% |
1696
2.20 IPS |
|
|
Style Transfer (Q)
|
98% |
3538
4.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
512
18.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
497
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
913
33.8 IPS |
|
|
Text Classification (SP)
|
100% |
275
367.7 IPS |
|
|
Text Classification (HP)
|
100% |
244
325.5 IPS |
|
|
Text Classification (Q)
|
88% |
551
742.6 IPS |
|
|
Machine Translation (SP)
|
100% |
425
7.32 IPS |
|
|
Machine Translation (HP)
|
100% |
406
7.00 IPS |
|
|
Machine Translation (Q)
|
50% |
344
12.2 IPS |
