samsung SM-X210
Geekbench AI Score
545
Single Precision Score
544
Half Precision Score
1050
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 07 2025 06:16 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
242
45.0 IPS |
|
|
Image Classification (HP)
|
100% |
242
44.9 IPS |
|
|
Image Classification (Q)
|
100% |
729
135.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
314
5.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
313
5.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
831
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1161
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1154
1.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
1666
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (Q)
|
83% |
717
57.9 IPS |
|
|
Face Detection (SP)
|
100% |
765
9.09 IPS |
|
|
Face Detection (HP)
|
100% |
772
9.17 IPS |
|
|
Face Detection (Q)
|
95% |
1643
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1004
7.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
1011
7.79 IPS |
|
|
Depth Estimation (Q)
|
64% |
1621
14.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1926
2.50 IPS |
|
|
Style Transfer (HP)
|
89% |
1983
2.57 IPS |
|
|
Style Transfer (Q)
|
98% |
3811
4.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
534
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
524
19.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
995
36.9 IPS |
|
|
Text Classification (SP)
|
100% |
294
392.1 IPS |
|
|
Text Classification (HP)
|
100% |
293
390.5 IPS |
|
|
Text Classification (Q)
|
88% |
597
804.7 IPS |
|
|
Machine Translation (SP)
|
100% |
485
8.36 IPS |
|
|
Machine Translation (HP)
|
100% |
476
8.19 IPS |
|
|
Machine Translation (Q)
|
50% |
374
13.3 IPS |
