samsung SM-X526B
Geekbench AI Score
997
Single Precision Score
1103
Half Precision Score
2049
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 16 2026 06:22 AM |
| Views | 1 |
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% |
222
41.3 IPS |
|
|
Image Classification (HP)
|
100% |
892
165.8 IPS |
|
|
Image Classification (Q)
|
100% |
1493
277.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
803
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
667
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1737
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1899
2.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1864
2.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
4664
5.53 IPS |
|
|
Object Detection (SP)
|
98% |
860
68.4 IPS |
|
|
Object Detection (HP)
|
98% |
716
57.0 IPS |
|
|
Object Detection (Q)
|
83% |
1486
120.0 IPS |
|
|
Face Detection (SP)
|
100% |
1359
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
1416
16.8 IPS |
|
|
Face Detection (Q)
|
95% |
3117
37.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1806
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1766
13.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3739
34.2 IPS |
|
|
Style Transfer (SP)
|
89% |
4687
6.08 IPS |
|
|
Style Transfer (HP)
|
89% |
4614
5.99 IPS |
|
|
Style Transfer (Q)
|
98% |
8695
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
926
34.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
888
32.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2544
94.3 IPS |
|
|
Text Classification (SP)
|
100% |
436
582.2 IPS |
|
|
Text Classification (HP)
|
99% |
462
617.0 IPS |
|
|
Text Classification (Q)
|
88% |
801
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
723
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (Q)
|
50% |
352
12.5 IPS |
