samsung SM-X210
Geekbench AI Score
557
Single Precision Score
556
Half Precision Score
1072
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 01:13 PM |
| Views | 1 |
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 | 3.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
242
45.0 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (Q)
|
100% |
732
136.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
835
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1198
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1195
1.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
1741
2.07 IPS |
|
|
Object Detection (SP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
83% |
724
58.5 IPS |
|
|
Face Detection (SP)
|
100% |
779
9.26 IPS |
|
|
Face Detection (HP)
|
100% |
781
9.28 IPS |
|
|
Face Detection (Q)
|
95% |
1730
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1039
8.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
1036
7.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
1622
14.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2028
2.63 IPS |
|
|
Style Transfer (HP)
|
89% |
2042
2.65 IPS |
|
|
Style Transfer (Q)
|
98% |
4042
5.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
546
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
550
20.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1012
37.5 IPS |
|
|
Text Classification (SP)
|
100% |
294
392.2 IPS |
|
|
Text Classification (HP)
|
100% |
292
389.8 IPS |
|
|
Text Classification (Q)
|
88% |
591
797.7 IPS |
|
|
Machine Translation (SP)
|
100% |
498
8.58 IPS |
|
|
Machine Translation (HP)
|
100% |
490
8.45 IPS |
|
|
Machine Translation (Q)
|
50% |
386
13.7 IPS |
