samsung SM-X510
Geekbench AI Score
641
Single Precision Score
642
Half Precision Score
1275
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 10:34 AM |
| Views | 2 |
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% |
368
68.5 IPS |
|
|
Image Classification (HP)
|
100% |
351
65.3 IPS |
|
|
Image Classification (Q)
|
100% |
1059
197.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
409
6.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
409
6.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
1031
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1361
1.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1365
1.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
2387
2.83 IPS |
|
|
Object Detection (SP)
|
100% |
287
22.8 IPS |
|
|
Object Detection (HP)
|
100% |
293
23.3 IPS |
|
|
Object Detection (Q)
|
83% |
832
67.2 IPS |
|
|
Face Detection (SP)
|
100% |
832
9.89 IPS |
|
|
Face Detection (HP)
|
100% |
842
10.0 IPS |
|
|
Face Detection (Q)
|
95% |
2084
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1210
9.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
1156
8.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
2150
19.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2348
3.05 IPS |
|
|
Style Transfer (HP)
|
89% |
2402
3.12 IPS |
|
|
Style Transfer (Q)
|
98% |
5548
7.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
607
22.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
648
23.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1308
48.5 IPS |
|
|
Text Classification (SP)
|
100% |
305
407.2 IPS |
|
|
Text Classification (HP)
|
100% |
300
401.0 IPS |
|
|
Text Classification (Q)
|
88% |
561
757.2 IPS |
|
|
Machine Translation (SP)
|
100% |
459
7.91 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.86 IPS |
|
|
Machine Translation (Q)
|
50% |
289
10.2 IPS |
