samsung SM-X210
Geekbench AI Score
541
Single Precision Score
540
Half Precision Score
1061
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 08 2025 11:03 AM |
| Views | 5 |
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% |
241
44.8 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (Q)
|
100% |
728
135.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
832
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1157
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1145
1.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
1685
2.00 IPS |
|
|
Object Detection (SP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
83% |
717
57.9 IPS |
|
|
Face Detection (SP)
|
100% |
761
9.04 IPS |
|
|
Face Detection (HP)
|
100% |
751
8.93 IPS |
|
|
Face Detection (Q)
|
95% |
1722
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
999
7.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
996
7.68 IPS |
|
|
Depth Estimation (Q)
|
64% |
1635
15.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1933
2.51 IPS |
|
|
Style Transfer (HP)
|
89% |
1958
2.54 IPS |
|
|
Style Transfer (Q)
|
98% |
3904
5.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
524
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
535
19.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1011
37.4 IPS |
|
|
Text Classification (SP)
|
100% |
294
392.2 IPS |
|
|
Text Classification (HP)
|
100% |
292
389.5 IPS |
|
|
Text Classification (Q)
|
88% |
597
804.7 IPS |
|
|
Machine Translation (SP)
|
100% |
482
8.29 IPS |
|
|
Machine Translation (HP)
|
100% |
476
8.19 IPS |
|
|
Machine Translation (Q)
|
50% |
374
13.3 IPS |
