samsung SM-X210
Geekbench AI Score
516
Single Precision Score
517
Half Precision Score
1022
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 19 2025 11:57 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% |
228
42.5 IPS |
|
|
Image Classification (HP)
|
100% |
228
42.3 IPS |
|
|
Image Classification (Q)
|
100% |
720
133.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
296
4.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
775
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1109
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1096
1.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
1644
1.95 IPS |
|
|
Object Detection (SP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (Q)
|
83% |
715
57.8 IPS |
|
|
Face Detection (SP)
|
100% |
727
8.64 IPS |
|
|
Face Detection (HP)
|
100% |
726
8.62 IPS |
|
|
Face Detection (Q)
|
95% |
1610
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
927
7.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
928
7.15 IPS |
|
|
Depth Estimation (Q)
|
64% |
1563
14.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1859
2.41 IPS |
|
|
Style Transfer (HP)
|
89% |
1864
2.42 IPS |
|
|
Style Transfer (Q)
|
98% |
3801
4.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
512
18.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
511
18.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
933
34.6 IPS |
|
|
Text Classification (SP)
|
100% |
284
378.4 IPS |
|
|
Text Classification (HP)
|
100% |
282
376.4 IPS |
|
|
Text Classification (Q)
|
88% |
581
783.9 IPS |
|
|
Machine Translation (SP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (HP)
|
100% |
454
7.82 IPS |
|
|
Machine Translation (Q)
|
50% |
368
13.1 IPS |
