samsung SM-X526N
Geekbench AI Score
275
Single Precision Score
275
Half Precision Score
646
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 05 2025 08:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
164
30.5 IPS |
|
|
Image Classification (HP)
|
100% |
165
30.7 IPS |
|
|
Image Classification (Q)
|
99% |
423
79.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
222
3.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
458
7.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
281
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
282
0.33 IPS |
|
|
Pose Estimation (Q)
|
98% |
1100
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (Q)
|
87% |
461
36.9 IPS |
|
|
Face Detection (SP)
|
100% |
446
5.30 IPS |
|
|
Face Detection (HP)
|
100% |
448
5.33 IPS |
|
|
Face Detection (Q)
|
97% |
952
11.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
360
2.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
361
2.78 IPS |
|
|
Depth Estimation (Q)
|
64% |
889
8.07 IPS |
|
|
Style Transfer (SP)
|
100% |
624
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
622
0.80 IPS |
|
|
Style Transfer (Q)
|
98% |
1837
2.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
176
6.50 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
176
6.51 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
640
23.7 IPS |
|
|
Text Classification (SP)
|
100% |
226
301.7 IPS |
|
|
Text Classification (HP)
|
100% |
227
302.7 IPS |
|
|
Text Classification (Q)
|
91% |
394
529.5 IPS |
|
|
Machine Translation (SP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (HP)
|
100% |
377
6.50 IPS |
|
|
Machine Translation (Q)
|
57% |
330
8.06 IPS |
