samsung SM-X526N
Geekbench AI Score
782
Single Precision Score
696
Half Precision Score
697
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 05 2025 08:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-X526N |
| Model ID | samsung SM-X526N |
| Motherboard | s5e8855 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 11.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
446
82.9 IPS |
|
|
Image Classification (HP)
|
100% |
408
75.9 IPS |
|
|
Image Classification (Q)
|
99% |
407
76.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
760
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
734
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1108
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
916
1.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
906
1.06 IPS |
|
|
Object Detection (SP)
|
100% |
476
37.8 IPS |
|
|
Object Detection (HP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (Q)
|
86% |
351
28.2 IPS |
|
|
Face Detection (SP)
|
100% |
1381
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
1472
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
1319
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1647
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1226
9.47 IPS |
|
|
Depth Estimation (Q)
|
63% |
1003
9.38 IPS |
|
|
Style Transfer (SP)
|
100% |
3589
4.61 IPS |
|
|
Style Transfer (HP)
|
100% |
2890
3.71 IPS |
|
|
Style Transfer (Q)
|
98% |
2868
3.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
725
26.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
588
21.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
592
21.9 IPS |
|
|
Text Classification (SP)
|
100% |
226
301.7 IPS |
|
|
Text Classification (HP)
|
100% |
227
302.5 IPS |
|
|
Text Classification (Q)
|
91% |
391
525.3 IPS |
|
|
Machine Translation (SP)
|
100% |
376
6.47 IPS |
|
|
Machine Translation (HP)
|
100% |
377
6.49 IPS |
|
|
Machine Translation (Q)
|
57% |
329
8.03 IPS |
