samsung SM-X210
Geekbench AI Score
542
Single Precision Score
542
Half Precision Score
1061
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 06 2025 06:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
242
44.9 IPS |
|
|
Image Classification (Q)
|
100% |
727
135.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
314
5.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
832
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1153
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1157
1.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
1696
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
234
18.5 IPS |
|
|
Object Detection (HP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (Q)
|
83% |
717
57.9 IPS |
|
|
Face Detection (SP)
|
100% |
757
9.00 IPS |
|
|
Face Detection (HP)
|
100% |
763
9.07 IPS |
|
|
Face Detection (Q)
|
95% |
1721
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
991
7.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
996
7.68 IPS |
|
|
Depth Estimation (Q)
|
64% |
1633
15.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1952
2.53 IPS |
|
|
Style Transfer (HP)
|
89% |
1965
2.55 IPS |
|
|
Style Transfer (Q)
|
98% |
3916
5.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
531
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
531
19.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1007
37.3 IPS |
|
|
Text Classification (SP)
|
100% |
294
392.1 IPS |
|
|
Text Classification (HP)
|
100% |
291
389.0 IPS |
|
|
Text Classification (Q)
|
88% |
584
787.6 IPS |
|
|
Machine Translation (SP)
|
100% |
479
8.24 IPS |
|
|
Machine Translation (HP)
|
100% |
477
8.22 IPS |
|
|
Machine Translation (Q)
|
50% |
380
13.5 IPS |
