samsung SM-X526B
Geekbench AI Score
1195
Single Precision Score
1219
Half Precision Score
2169
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 16 2025 01:46 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-X526B |
| Model ID | samsung SM-X526B |
| 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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
967
179.8 IPS |
|
|
Image Classification (HP)
|
100% |
947
176.1 IPS |
|
|
Image Classification (Q)
|
100% |
1291
240.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
809
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
896
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1945
31.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1960
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1872
2.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
4794
5.69 IPS |
|
|
Object Detection (SP)
|
98% |
810
64.5 IPS |
|
|
Object Detection (HP)
|
98% |
833
66.3 IPS |
|
|
Object Detection (Q)
|
83% |
1448
117.0 IPS |
|
|
Face Detection (SP)
|
100% |
1468
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
1483
17.6 IPS |
|
|
Face Detection (Q)
|
95% |
3477
41.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1757
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1805
13.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3874
35.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4839
6.28 IPS |
|
|
Style Transfer (HP)
|
89% |
4702
6.10 IPS |
|
|
Style Transfer (Q)
|
98% |
10430
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
987
36.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1000
36.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2500
92.6 IPS |
|
|
Text Classification (SP)
|
100% |
472
630.4 IPS |
|
|
Text Classification (HP)
|
99% |
494
659.9 IPS |
|
|
Text Classification (Q)
|
88% |
840
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
883
15.2 IPS |
|
|
Machine Translation (Q)
|
50% |
449
15.9 IPS |
