samsung SM-X406B
Geekbench AI Score
694
Single Precision Score
651
Half Precision Score
1352
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | November 27 2025 09:02 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-X406B |
| Model ID | samsung SM-X406B |
| Motherboard | s5e8835 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
370
68.9 IPS |
|
|
Image Classification (HP)
|
100% |
288
53.5 IPS |
|
|
Image Classification (Q)
|
100% |
1003
186.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
1185
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1524
1.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
1479
1.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
2533
3.00 IPS |
|
|
Object Detection (SP)
|
100% |
311
24.6 IPS |
|
|
Object Detection (HP)
|
100% |
303
24.0 IPS |
|
|
Object Detection (Q)
|
83% |
927
74.9 IPS |
|
|
Face Detection (SP)
|
100% |
891
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
880
10.5 IPS |
|
|
Face Detection (Q)
|
95% |
2300
27.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1195
9.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
1161
8.95 IPS |
|
|
Depth Estimation (Q)
|
64% |
2167
19.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2693
3.50 IPS |
|
|
Style Transfer (HP)
|
89% |
2401
3.12 IPS |
|
|
Style Transfer (Q)
|
98% |
5943
7.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
770
28.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
663
24.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1385
51.3 IPS |
|
|
Text Classification (SP)
|
100% |
336
448.0 IPS |
|
|
Text Classification (HP)
|
100% |
334
446.0 IPS |
|
|
Text Classification (Q)
|
88% |
619
834.2 IPS |
|
|
Machine Translation (SP)
|
100% |
520
8.96 IPS |
|
|
Machine Translation (HP)
|
100% |
508
8.74 IPS |
|
|
Machine Translation (Q)
|
50% |
289
10.3 IPS |
