samsung SM-X210
Geekbench AI Score
538
Single Precision Score
536
Half Precision Score
1051
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 07 2025 07:52 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% |
239
44.4 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (Q)
|
100% |
726
135.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
308
4.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
305
4.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
829
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1145
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1147
1.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
1674
1.99 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (Q)
|
83% |
718
58.0 IPS |
|
|
Face Detection (SP)
|
100% |
744
8.85 IPS |
|
|
Face Detection (HP)
|
100% |
753
8.95 IPS |
|
|
Face Detection (Q)
|
95% |
1700
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
982
7.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
995
7.67 IPS |
|
|
Depth Estimation (Q)
|
64% |
1585
14.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1947
2.53 IPS |
|
|
Style Transfer (HP)
|
89% |
1922
2.50 IPS |
|
|
Style Transfer (Q)
|
98% |
3881
5.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
528
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
521
19.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1008
37.4 IPS |
|
|
Text Classification (SP)
|
100% |
294
392.1 IPS |
|
|
Text Classification (HP)
|
100% |
291
388.5 IPS |
|
|
Text Classification (Q)
|
88% |
585
789.3 IPS |
|
|
Machine Translation (SP)
|
100% |
474
8.17 IPS |
|
|
Machine Translation (HP)
|
100% |
464
7.99 IPS |
|
|
Machine Translation (Q)
|
50% |
372
13.2 IPS |
