samsung SM-X526N
Geekbench AI Score
1392
Single Precision Score
1370
Half Precision Score
2712
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 05 2025 08:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1163
216.3 IPS |
|
|
Image Classification (HP)
|
100% |
1116
207.6 IPS |
|
|
Image Classification (Q)
|
100% |
2144
398.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1011
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1003
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2447
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2427
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2257
2.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
5667
6.72 IPS |
|
|
Object Detection (SP)
|
98% |
988
78.6 IPS |
|
|
Object Detection (HP)
|
98% |
989
78.7 IPS |
|
|
Object Detection (Q)
|
83% |
1778
143.6 IPS |
|
|
Face Detection (SP)
|
100% |
1484
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
1487
17.7 IPS |
|
|
Face Detection (Q)
|
95% |
4347
51.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2017
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2010
15.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4694
43.0 IPS |
|
|
Style Transfer (SP)
|
89% |
5254
6.82 IPS |
|
|
Style Transfer (HP)
|
89% |
5230
6.79 IPS |
|
|
Style Transfer (Q)
|
98% |
12286
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1071
39.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1069
39.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3013
111.7 IPS |
|
|
Text Classification (SP)
|
100% |
579
772.9 IPS |
|
|
Text Classification (HP)
|
99% |
578
771.9 IPS |
|
|
Text Classification (Q)
|
88% |
1017
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
995
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
969
16.7 IPS |
|
|
Machine Translation (Q)
|
50% |
531
18.8 IPS |
