samsung SM-X510
Geekbench AI Score
668
Single Precision Score
688
Half Precision Score
1445
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kasid |
| Upload Date | October 26 2025 02:32 PM |
| Views | 3 |
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% |
390
72.6 IPS |
|
|
Image Classification (HP)
|
100% |
386
71.8 IPS |
|
|
Image Classification (Q)
|
100% |
991
184.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
362
5.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
442
7.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
1374
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1472
1.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
1468
1.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
2884
3.42 IPS |
|
|
Object Detection (SP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (HP)
|
100% |
312
24.8 IPS |
|
|
Object Detection (Q)
|
83% |
956
77.2 IPS |
|
|
Face Detection (SP)
|
100% |
878
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
873
10.4 IPS |
|
|
Face Detection (Q)
|
95% |
2375
28.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1188
9.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
1207
9.30 IPS |
|
|
Depth Estimation (Q)
|
64% |
2411
22.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2550
3.31 IPS |
|
|
Style Transfer (HP)
|
89% |
2592
3.36 IPS |
|
|
Style Transfer (Q)
|
98% |
6137
7.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
597
22.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
682
25.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1445
53.6 IPS |
|
|
Text Classification (SP)
|
100% |
353
471.5 IPS |
|
|
Text Classification (HP)
|
100% |
340
454.3 IPS |
|
|
Text Classification (Q)
|
88% |
653
880.1 IPS |
|
|
Machine Translation (SP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.38 IPS |
|
|
Machine Translation (Q)
|
50% |
319
11.3 IPS |
