samsung SM-X510
Geekbench AI Score
814
Single Precision Score
852
Half Precision Score
1658
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2025 07:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
438
81.5 IPS |
|
|
Image Classification (HP)
|
100% |
439
81.7 IPS |
|
|
Image Classification (Q)
|
100% |
613
114.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
486
7.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
508
8.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
1644
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1936
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1763
2.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
3029
3.59 IPS |
|
|
Object Detection (SP)
|
100% |
355
28.2 IPS |
|
|
Object Detection (HP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (Q)
|
83% |
1088
87.9 IPS |
|
|
Face Detection (SP)
|
100% |
1066
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
1070
12.7 IPS |
|
|
Face Detection (Q)
|
95% |
2638
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1236
9.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
1593
12.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3273
30.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3146
4.08 IPS |
|
|
Style Transfer (HP)
|
89% |
3422
4.44 IPS |
|
|
Style Transfer (Q)
|
98% |
8030
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
768
28.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
893
33.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1977
73.3 IPS |
|
|
Text Classification (SP)
|
100% |
444
593.0 IPS |
|
|
Text Classification (HP)
|
100% |
435
580.1 IPS |
|
|
Text Classification (Q)
|
88% |
848
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (Q)
|
50% |
408
14.5 IPS |
