samsung SM-X210
Geekbench AI Score
542
Single Precision Score
542
Half Precision Score
1062
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 10:25 AM |
| 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% |
238
44.2 IPS |
|
|
Image Classification (HP)
|
100% |
237
44.2 IPS |
|
|
Image Classification (Q)
|
100% |
726
135.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
311
5.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
829
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1181
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1151
1.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
1742
2.07 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (Q)
|
83% |
717
57.9 IPS |
|
|
Face Detection (SP)
|
100% |
758
9.01 IPS |
|
|
Face Detection (HP)
|
100% |
759
9.02 IPS |
|
|
Face Detection (Q)
|
95% |
1723
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
970
7.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
996
7.68 IPS |
|
|
Depth Estimation (Q)
|
64% |
1615
14.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1967
2.55 IPS |
|
|
Style Transfer (HP)
|
89% |
1965
2.55 IPS |
|
|
Style Transfer (Q)
|
98% |
3989
5.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
527
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
524
19.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1004
37.2 IPS |
|
|
Text Classification (SP)
|
100% |
293
391.1 IPS |
|
|
Text Classification (HP)
|
100% |
291
387.9 IPS |
|
|
Text Classification (Q)
|
88% |
578
779.2 IPS |
|
|
Machine Translation (SP)
|
100% |
490
8.45 IPS |
|
|
Machine Translation (HP)
|
100% |
485
8.36 IPS |
|
|
Machine Translation (Q)
|
50% |
379
13.4 IPS |
