samsung SM-X510
Geekbench AI Score
778
Single Precision Score
765
Half Precision Score
1695
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 16 2025 10:47 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-X510 |
| Model ID | samsung SM-X510 |
| Motherboard | s5e8835 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
363
67.6 IPS |
|
|
Image Classification (HP)
|
100% |
374
69.6 IPS |
|
|
Image Classification (Q)
|
100% |
1232
229.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
424
6.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
423
6.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
1409
22.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1624
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1643
1.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
3140
3.72 IPS |
|
|
Object Detection (SP)
|
100% |
356
28.3 IPS |
|
|
Object Detection (HP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (Q)
|
83% |
1157
93.5 IPS |
|
|
Face Detection (SP)
|
100% |
1079
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1085
12.9 IPS |
|
|
Face Detection (Q)
|
95% |
2814
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1485
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1194
9.20 IPS |
|
|
Depth Estimation (Q)
|
64% |
2857
26.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2893
3.76 IPS |
|
|
Style Transfer (HP)
|
89% |
2911
3.78 IPS |
|
|
Style Transfer (Q)
|
98% |
7155
9.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
828
30.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
825
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1790
66.3 IPS |
|
|
Text Classification (SP)
|
100% |
424
566.5 IPS |
|
|
Text Classification (HP)
|
100% |
429
573.3 IPS |
|
|
Text Classification (Q)
|
88% |
858
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
563
9.70 IPS |
|
|
Machine Translation (HP)
|
100% |
557
9.60 IPS |
|
|
Machine Translation (Q)
|
50% |
352
12.5 IPS |
