samsung SM-X210
Geekbench AI Score
543
Single Precision Score
539
Half Precision Score
1042
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2025 02:32 AM |
| Views | 4 |
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% |
239
44.4 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.4 IPS |
|
|
Image Classification (Q)
|
100% |
721
134.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
830
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1156
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1149
1.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
1660
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
231
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (Q)
|
83% |
714
57.6 IPS |
|
|
Face Detection (SP)
|
100% |
763
9.06 IPS |
|
|
Face Detection (HP)
|
100% |
747
8.88 IPS |
|
|
Face Detection (Q)
|
95% |
1640
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1006
7.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
1008
7.76 IPS |
|
|
Depth Estimation (Q)
|
64% |
1544
14.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1985
2.58 IPS |
|
|
Style Transfer (HP)
|
89% |
1955
2.54 IPS |
|
|
Style Transfer (Q)
|
98% |
3874
5.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
530
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
535
19.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1003
37.2 IPS |
|
|
Text Classification (SP)
|
100% |
293
391.0 IPS |
|
|
Text Classification (HP)
|
100% |
290
386.6 IPS |
|
|
Text Classification (Q)
|
88% |
587
792.3 IPS |
|
|
Machine Translation (SP)
|
100% |
480
8.28 IPS |
|
|
Machine Translation (HP)
|
100% |
473
8.16 IPS |
|
|
Machine Translation (Q)
|
50% |
370
13.1 IPS |
